example_id
int64 0
10.1k
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stringlengths 680
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28.3k
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values | classification_text
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stringlengths 1.45k
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{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.84, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7902, "learning_rate": 0.03768122121035487, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[20.816647, 21.332041, 25.466490, 26.761130, 69.742203], [17.803861, 18.529278, 22.735588, 23.352380, 198.108665], [18.609211, 20.084024, 21.974852, 22.126760, 29.706059], [38.151844, 38.470467, 40.420241, 42.096027, 201.960172], [14.177386, 14.214265, 15.933596, 17.380762, 84.048039], [26.346040, 28.523896, 28.866743, 30.669241, 113.135161], [21.182482, 21.298349, 22.507992, 26.587689, 100.182906], [39.484640, 40.811150, 44.565302, 46.518583, 152.257112], [19.975279, 20.112603, 23.842079, 24.311680, 87.517757], [22.056259, 23.344731, 25.188847, 27.128380, 31.839130], [10.669652, 12.157519, 12.594874, 16.360973, 113.032609]]
### 2
fourier: [[25.901631, 29.853923, 29.897353, 32.041550, 167.157192], [12.694598, 14.180175, 14.362156, 14.416398, 87.719330], [30.229558, 31.882652, 32.603709, 41.639265, 105.694133], [31.205967, 31.916433, 34.169260, 41.317023, 94.994237], [13.271877, 15.232683, 15.552563, 16.988534, 102.319742], [17.708056, 18.160183, 18.260220, 20.132673, 115.553651], [35.870460, 37.270808, 37.519708, 39.997121, 186.079802], [11.775315, 11.827374, 12.417315, 13.770503, 79.265091], [33.984832, 35.497761, 38.317309, 38.350181, 170.766850], [45.335558, 50.732908, 52.813262, 59.888840, 231.148650], [20.680960, 21.059594, 21.883026, 26.027372, 102.523769]]
### 4
fourier: [[8.068185, 8.338526, 8.386914, 10.259376, 44.551640], [29.744341, 30.944399, 31.569832, 32.663012, 163.748402], [19.624054, 19.640766, 19.713459, 21.089352, 108.404141], [33.910740, 36.419906, 37.638968, 44.746458, 150.185469], [31.467640, 34.511970, 35.929576, 41.844571, 169.833616], [22.957993, 24.591103, 25.472090, 30.656279, 105.087051], [7.885591, 8.095168, 8.346248, 8.357792, 54.475164], [5.252094, 5.300149, 5.402225, 7.537384, 14.610892], [9.187004, 9.260613, 9.324285, 10.149257, 68.375757], [10.602551, 11.737402, 11.891609, 12.458235, 51.975656], [9.120273, 10.124638, 11.374270, 14.794053, 17.735648]]
### 6
fourier: [[30.352753, 30.894664, 31.050379, 32.730519, 162.591688], [11.436501, 14.706149, 14.750517, 14.751792, 63.111288], [6.649037, 8.678150, 8.690014, 8.931604, 34.533648], [28.665708, 31.447542, 32.104027, 34.412636, 166.833340], [4.703005, 5.179170, 5.266826, 5.733883, 45.132990], [14.338777, 16.159195, 16.473218, 19.233456, 97.982671], [9.758233, 10.486663, 11.259132, 11.546133, 15.426159], [3.113512, 3.359334, 3.613642, 3.753874, 21.875786], [3.988095, 4.062958, 4.980511, 5.147663, 14.736447], [28.862268, 30.949993, 31.648782, 33.272717, 135.368382], [10.451563, 12.517704, 12.691880, 13.148653, 25.509634]]
### 8
fourier: [[9.703528, 10.149739, 10.508768, 13.522793, 25.866980], [3.689341, 3.716105, 4.072463, 6.175042, 15.006237], [3.819861, 3.837846, 4.094208, 4.124152, 35.497117], [5.412549, 5.926390, 6.351664, 9.301037, 25.543528], [4.851812, 5.427656, 5.435832, 5.583110, 33.092524], [3.954861, 4.775152, 5.514256, 5.575296, 5.706196], [4.371586, 4.732000, 5.090191, 7.526092, 18.780263], [14.076163, 15.681165, 15.899006, 21.602601, 56.519826], [7.801167, 7.891831, 8.336394, 11.569604, 30.817169], [12.904299, 13.471523, 14.205422, 20.064063, 67.025779], [11.804314, 12.304832, 13.267836, 19.861884, 74.047340]]
### 10
fourier: [[3.163334, 3.408097, 3.537802, 5.397233, 16.972806], [13.203158, 13.850863, 14.241369, 18.304673, 74.622830], [1.927665, 1.930874, 1.932297, 2.068025, 22.805055], [10.939772, 11.718998, 12.019562, 15.676148, 61.570497], [1.852105, 1.870969, 1.971543, 2.887441, 5.011115], [2.985822, 2.994325, 3.149757, 4.313053, 4.839213], [10.125873, 11.089708, 11.187992, 14.087016, 50.178650], [14.601200, 16.053286, 16.332852, 20.725924, 86.381762], [0.523422, 0.550858, 0.569437, 0.671551, 20.979002], [1.653958, 1.656557, 1.723403, 1.797093, 41.814934], [4.237342, 4.739230, 4.765332, 5.224270, 56.728276]]
### 12
fourier: [[10.144882, 11.147780, 11.195768, 12.967614, 48.165722]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[20.816647, 21.332041, 25.466490, 26.761130, 69.742203], [17.803861, 18.529278, 22.735588, 23.352380, 198.108665], [18.609211, 20.084024, 21.974852, 22.126760, 29.706059], [38.151844, 38.470467, 40.420241, 42.096027, 201.960172], [14.177386, 14.214265, 15.933596, 17.380762, 84.048039], [26.346040, 28.523896, 28.866743, 30.669241, 113.135161], [21.182482, 21.298349, 22.507992, 26.587689, 100.182906], [39.484640, 40.811150, 44.565302, 46.518583, 152.257112], [19.975279, 20.112603, 23.842079, 24.311680, 87.517757], [22.056259, 23.344731, 25.188847, 27.128380, 31.839130], [10.669652, 12.157519, 12.594874, 16.360973, 113.032609]]
### 2
fourier: [[25.901631, 29.853923, 29.897353, 32.041550, 167.157192], [12.694598, 14.180175, 14.362156, 14.416398, 87.719330], [30.229558, 31.882652, 32.603709, 41.639265, 105.694133], [31.205967, 31.916433, 34.169260, 41.317023, 94.994237], [13.271877, 15.232683, 15.552563, 16.988534, 102.319742], [17.708056, 18.160183, 18.260220, 20.132673, 115.553651], [35.870460, 37.270808, 37.519708, 39.997121, 186.079802], [11.775315, 11.827374, 12.417315, 13.770503, 79.265091], [33.984832, 35.497761, 38.317309, 38.350181, 170.766850], [45.335558, 50.732908, 52.813262, 59.888840, 231.148650], [20.680960, 21.059594, 21.883026, 26.027372, 102.523769]]
### 4
fourier: [[8.068185, 8.338526, 8.386914, 10.259376, 44.551640], [29.744341, 30.944399, 31.569832, 32.663012, 163.748402], [19.624054, 19.640766, 19.713459, 21.089352, 108.404141], [33.910740, 36.419906, 37.638968, 44.746458, 150.185469], [31.467640, 34.511970, 35.929576, 41.844571, 169.833616], [22.957993, 24.591103, 25.472090, 30.656279, 105.087051], [7.885591, 8.095168, 8.346248, 8.357792, 54.475164], [5.252094, 5.300149, 5.402225, 7.537384, 14.610892], [9.187004, 9.260613, 9.324285, 10.149257, 68.375757], [10.602551, 11.737402, 11.891609, 12.458235, 51.975656], [9.120273, 10.124638, 11.374270, 14.794053, 17.735648]]
### 6
fourier: [[30.352753, 30.894664, 31.050379, 32.730519, 162.591688], [11.436501, 14.706149, 14.750517, 14.751792, 63.111288], [6.649037, 8.678150, 8.690014, 8.931604, 34.533648], [28.665708, 31.447542, 32.104027, 34.412636, 166.833340], [4.703005, 5.179170, 5.266826, 5.733883, 45.132990], [14.338777, 16.159195, 16.473218, 19.233456, 97.982671], [9.758233, 10.486663, 11.259132, 11.546133, 15.426159], [3.113512, 3.359334, 3.613642, 3.753874, 21.875786], [3.988095, 4.062958, 4.980511, 5.147663, 14.736447], [28.862268, 30.949993, 31.648782, 33.272717, 135.368382], [10.451563, 12.517704, 12.691880, 13.148653, 25.509634]]
### 8
fourier: [[9.703528, 10.149739, 10.508768, 13.522793, 25.866980], [3.689341, 3.716105, 4.072463, 6.175042, 15.006237], [3.819861, 3.837846, 4.094208, 4.124152, 35.497117], [5.412549, 5.926390, 6.351664, 9.301037, 25.543528], [4.851812, 5.427656, 5.435832, 5.583110, 33.092524], [3.954861, 4.775152, 5.514256, 5.575296, 5.706196], [4.371586, 4.732000, 5.090191, 7.526092, 18.780263], [14.076163, 15.681165, 15.899006, 21.602601, 56.519826], [7.801167, 7.891831, 8.336394, 11.569604, 30.817169], [12.904299, 13.471523, 14.205422, 20.064063, 67.025779], [11.804314, 12.304832, 13.267836, 19.861884, 74.047340]]
### 10
fourier: [[3.163334, 3.408097, 3.537802, 5.397233, 16.972806], [13.203158, 13.850863, 14.241369, 18.304673, 74.622830], [1.927665, 1.930874, 1.932297, 2.068025, 22.805055], [10.939772, 11.718998, 12.019562, 15.676148, 61.570497], [1.852105, 1.870969, 1.971543, 2.887441, 5.011115], [2.985822, 2.994325, 3.149757, 4.313053, 4.839213], [10.125873, 11.089708, 11.187992, 14.087016, 50.178650], [14.601200, 16.053286, 16.332852, 20.725924, 86.381762], [0.523422, 0.550858, 0.569437, 0.671551, 20.979002], [1.653958, 1.656557, 1.723403, 1.797093, 41.814934], [4.237342, 4.739230, 4.765332, 5.224270, 56.728276]]
### 12
fourier: [[10.144882, 11.147780, 11.195768, 12.967614, 48.165722]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6799940168857574, "train_acc": 0.61, "val_loss": 0.6917029023170471, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6413594484329224, "train_acc": 0.575, "val_loss": 0.5741739869117737, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.8197500109672546, "train_acc": 0.5, "val_loss": 0.509506106376648, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5227100104093552, "train_acc": 0.615, "val_loss": 0.5953424572944641, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5847439467906952, "train_acc": 0.79, "val_loss": 0.5731317400932312, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5540612041950226, "train_acc": 0.82, "val_loss": 0.5537217855453491, "val_acc": 0.76}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6917029023170471, "final_val_loss": 0.5741739869117737, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.509506106376648, "final_val_loss": 0.5537217855453491, "initial_val_acc": 0.5, "final_val_acc": 0.76, "best_val_acc": 0.84, "best_epoch": 4}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
1
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.96, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9016, "learning_rate": 0.08961895813761998, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
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0.531393,
-0.7536,
-0.884404,
-1.301415
],
[
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-0.145324,
0.472046,
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0.952848
],
[
0.120694,
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0.791757,
0.172973,
0.471312,
0.574169,
-0.364878
],
[
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0.656088,
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],
[
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],
"network.12.bias": [
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0.315885,
0.457064,
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0.7082,
0.91779
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"network.14.weight": [
[
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0.640316,
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"network.14.bias": [
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]
}
## Activation Signature
### 0
fourier: [[23.020938, 24.228820, 26.662770, 29.313218, 32.833386], [45.498689, 45.910929, 49.655891, 55.890629, 151.117083], [34.609471, 35.075141, 36.827376, 39.781426, 172.545292], [24.899171, 24.982353, 25.788560, 26.810035, 113.928699], [31.252303, 32.116335, 34.103510, 35.420244, 167.826689], [33.715742, 37.303988, 42.106937, 48.542680, 73.711098], [47.178952, 48.170706, 50.205348, 55.196687, 242.237535]]
### 2
fourier: [[27.765171, 31.687692, 32.383455, 34.256526, 35.121186], [16.138312, 16.217128, 17.823338, 18.104628, 133.022812], [23.771757, 24.752984, 26.274033, 27.999974, 169.459699], [18.086222, 19.423329, 21.025791, 23.067716, 83.592815], [20.416813, 22.274229, 22.796147, 28.184573, 175.196947], [8.066516, 8.952717, 9.701996, 11.452351, 11.848188], [14.578994, 14.726049, 14.901166, 15.968170, 115.180125]]
### 4
fourier: [[48.711317, 51.072338, 54.111557, 58.559207, 348.877417], [27.742969, 28.173881, 31.181301, 36.802598, 233.008437], [30.631460, 34.017029, 37.802410, 44.809788, 232.684917], [30.623712, 34.253432, 38.196525, 45.381928, 232.013350], [17.671901, 18.369118, 19.608337, 23.386293, 110.977154], [49.133545, 53.922024, 60.738322, 72.360482, 432.547607], [52.810644, 57.923205, 58.492481, 68.352039, 431.222898]]
### 6
fourier: [[58.498561, 61.143939, 65.283054, 76.527470, 504.990442], [110.107110, 116.717439, 122.659200, 143.350564, 850.002815], [56.941213, 58.061618, 63.268354, 74.406113, 428.997788], [35.115436, 38.603910, 43.428655, 51.881554, 419.139654], [84.818501, 85.962254, 94.438209, 111.209899, 778.633568], [77.893461, 81.408925, 86.756719, 101.519181, 573.962377], [87.606873, 92.977711, 97.394838, 113.708406, 653.162711]]
### 8
fourier: [[79.835974, 84.762511, 88.953952, 103.970587, 572.980454], [3.981340, 4.321309, 4.362842, 5.108897, 75.178078], [114.498351, 121.423913, 127.636914, 149.351872, 864.010547], [95.849824, 100.087227, 106.597470, 124.707103, 726.710492], [31.825833, 33.428953, 35.588615, 41.969122, 193.885426], [12.446134, 13.162960, 13.876601, 16.319921, 116.352904], [91.321605, 96.197012, 101.709960, 118.998544, 705.176120]]
### 10
fourier: [[20.598225, 22.144152, 23.048450, 26.882247, 87.163548], [10.275624, 11.361313, 11.534264, 13.273271, 14.417045], [62.731326, 66.845382, 70.043207, 81.730591, 443.466245], [118.411752, 125.994501, 132.069150, 154.015168, 792.523917], [103.402393, 109.154732, 115.063881, 134.090172, 745.487430], [30.117826, 31.192989, 33.292664, 38.891898, 293.067051], [131.684935, 139.496731, 146.665894, 170.641275, 1017.283256]]
### 12
fourier: [[89.882520, 94.833094, 99.901821, 115.946987, 748.837207], [48.010552, 52.848097, 53.665820, 62.177884, 401.347589], [265.880160, 280.831595, 295.682668, 343.733994, 1968.630883], [129.528343, 137.013788, 143.898262, 167.297379, 1030.641396], [49.667081, 51.533400, 54.874030, 64.330123, 293.439561], [264.706591, 280.187726, 294.446710, 342.689592, 1831.552287], [97.413556, 104.092931, 108.401150, 126.097538, 778.450580]]
### 14
fourier: [[242.014283, 261.478974, 269.566586, 312.364843, 1754.046574]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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"network.14.bias": [
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]
}
## Activation Signature
### 0
fourier: [[23.020938, 24.228820, 26.662770, 29.313218, 32.833386], [45.498689, 45.910929, 49.655891, 55.890629, 151.117083], [34.609471, 35.075141, 36.827376, 39.781426, 172.545292], [24.899171, 24.982353, 25.788560, 26.810035, 113.928699], [31.252303, 32.116335, 34.103510, 35.420244, 167.826689], [33.715742, 37.303988, 42.106937, 48.542680, 73.711098], [47.178952, 48.170706, 50.205348, 55.196687, 242.237535]]
### 2
fourier: [[27.765171, 31.687692, 32.383455, 34.256526, 35.121186], [16.138312, 16.217128, 17.823338, 18.104628, 133.022812], [23.771757, 24.752984, 26.274033, 27.999974, 169.459699], [18.086222, 19.423329, 21.025791, 23.067716, 83.592815], [20.416813, 22.274229, 22.796147, 28.184573, 175.196947], [8.066516, 8.952717, 9.701996, 11.452351, 11.848188], [14.578994, 14.726049, 14.901166, 15.968170, 115.180125]]
### 4
fourier: [[48.711317, 51.072338, 54.111557, 58.559207, 348.877417], [27.742969, 28.173881, 31.181301, 36.802598, 233.008437], [30.631460, 34.017029, 37.802410, 44.809788, 232.684917], [30.623712, 34.253432, 38.196525, 45.381928, 232.013350], [17.671901, 18.369118, 19.608337, 23.386293, 110.977154], [49.133545, 53.922024, 60.738322, 72.360482, 432.547607], [52.810644, 57.923205, 58.492481, 68.352039, 431.222898]]
### 6
fourier: [[58.498561, 61.143939, 65.283054, 76.527470, 504.990442], [110.107110, 116.717439, 122.659200, 143.350564, 850.002815], [56.941213, 58.061618, 63.268354, 74.406113, 428.997788], [35.115436, 38.603910, 43.428655, 51.881554, 419.139654], [84.818501, 85.962254, 94.438209, 111.209899, 778.633568], [77.893461, 81.408925, 86.756719, 101.519181, 573.962377], [87.606873, 92.977711, 97.394838, 113.708406, 653.162711]]
### 8
fourier: [[79.835974, 84.762511, 88.953952, 103.970587, 572.980454], [3.981340, 4.321309, 4.362842, 5.108897, 75.178078], [114.498351, 121.423913, 127.636914, 149.351872, 864.010547], [95.849824, 100.087227, 106.597470, 124.707103, 726.710492], [31.825833, 33.428953, 35.588615, 41.969122, 193.885426], [12.446134, 13.162960, 13.876601, 16.319921, 116.352904], [91.321605, 96.197012, 101.709960, 118.998544, 705.176120]]
### 10
fourier: [[20.598225, 22.144152, 23.048450, 26.882247, 87.163548], [10.275624, 11.361313, 11.534264, 13.273271, 14.417045], [62.731326, 66.845382, 70.043207, 81.730591, 443.466245], [118.411752, 125.994501, 132.069150, 154.015168, 792.523917], [103.402393, 109.154732, 115.063881, 134.090172, 745.487430], [30.117826, 31.192989, 33.292664, 38.891898, 293.067051], [131.684935, 139.496731, 146.665894, 170.641275, 1017.283256]]
### 12
fourier: [[89.882520, 94.833094, 99.901821, 115.946987, 748.837207], [48.010552, 52.848097, 53.665820, 62.177884, 401.347589], [265.880160, 280.831595, 295.682668, 343.733994, 1968.630883], [129.528343, 137.013788, 143.898262, 167.297379, 1030.641396], [49.667081, 51.533400, 54.874030, 64.330123, 293.439561], [264.706591, 280.187726, 294.446710, 342.689592, 1831.552287], [97.413556, 104.092931, 108.401150, 126.097538, 778.450580]]
### 14
fourier: [[242.014283, 261.478974, 269.566586, 312.364843, 1754.046574]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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"input_format": "integer_indices"}}
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.544782, 0.000635, 0.28851, -0.620589, 0.3968], [0.212328, -0.747046, 0.409438, -0.835032, 0.515975], [-0.837795, -0.354525, 0.031351, 0.114932, -0.230751], [-0.69864, -0.185175, 0.121855, -0.006243, 0.159938], [-0.74443, -0.446033, -0.085583, 0.022724, 0.158713], [-0.948429, 0.183047, -0.03507, 0.533331, 0.061824], [0.229557, -0.752707, 0.381241, -1.046168, 0.150506]], "network.0.bias": [0.619309, -0.282987, -0.25592, -0.497438, -0.19127, 0.519035, -0.344147], "network.2.weight": [[1.312064, 0.326077, -0.255591, 0.307781, -1.218928, -0.259528, 0.690839], [0.682156, 0.056589, -0.412986, -0.223372, -0.239514, 0.66065, -0.111065], [1.043109, 0.101709, -0.946171, -0.494627, 0.164991, 0.988329, -0.097197], [-0.883443, -0.624947, 0.52464, 0.418717, 0.074569, -0.436569, -0.007444], [0.803217, 0.129072, -0.769715, -0.77239, 0.371696, 0.908425, 0.233003], [0.420785, -0.241863, -0.203834, -0.219577, 0.003099, 0.200956, -0.370471], [0.615806, 0.345342, -0.676634, -0.013029, 0.253535, 0.56764, -0.482109]], "network.2.bias": [-0.224685, 0.21599, -0.034789, 0.347245, 0.189633, -0.310573, 0.169563], "network.4.weight": [[-0.057508, 0.826419, 0.941776, -0.086369, 0.441219, -0.438988, 0.38925], [-0.204982, -0.261474, -0.716843, -0.15518, -0.338277, 0.144252, 0.05717], [-0.557326, -0.114921, -0.746599, 0.543026, -0.289869, -0.579227, -0.005083], [0.515867, 0.543812, 0.066771, -1.021715, 0.498697, 0.348508, 0.362347], [-0.047365, -0.165465, 0.216174, 0.155894, -0.543471, 0.254274, -0.619649], [0.71473, 0.407919, 0.678833, -0.150923, 0.87725, -0.168681, 0.437232], [0.121476, 0.459448, 0.869282, -0.280862, 0.764147, -0.205515, 0.685127]], "network.4.bias": [-0.246324, -0.193783, -0.013977, -0.109607, 0.376956, 0.303676, 0.195073], "network.6.weight": [[-0.386701, -0.235715, -0.2263, 0.334419, -0.074372, -0.608561, -0.350598], [0.703378, -0.19984, -0.719207, -0.269983, 0.34018, 0.782806, 0.828673], [0.114974, 0.086418, -0.169738, 0.150258, 0.193452, 0.318872, 0.548715], [0.754552, -0.069146, -0.201356, 0.857417, -0.548749, -1.045583, -0.840337], [-0.412544, 0.303602, -0.111502, 0.129414, -0.951862, -0.815096, -0.506152], [-0.668131, -0.011858, 0.403462, -0.216959, 0.042631, -0.434557, -0.303189], [-0.810395, -0.005837, 0.347344, -0.462724, 0.18687, -0.224709, -0.423605]], "network.6.bias": [-0.413877, -0.266217, -0.20289, -0.831025, -1.084603, 0.299711, 0.18875], "network.8.weight": [[-0.011769, -0.658812, -0.106089, -0.470952, -0.705305, 0.539988, 0.307326], [-0.482445, 0.093127, -0.102179, -0.017312, -0.084303, -0.337178, 0.368434], [0.112194, 0.87971, 0.27918, 0.121419, 0.740448, -0.857465, -0.787534], [0.064745, -0.589052, -0.5458, 0.250339, 0.097829, 0.013611, 0.35272], [0.284007, -0.091672, -0.369785, -0.042586, -0.206786, 0.46985, 0.640487], [-0.573702, 0.138159, -0.031544, -0.328764, -0.601039, -0.24287, 0.106374], [0.092642, 0.602035, 0.414965, 0.466437, 0.778429, -0.322601, -0.613653]], "network.8.bias": [0.307937, 0.422, 0.039066, 0.096887, 0.436995, 0.100815, 0.231069], "network.10.weight": [[0.25208, 0.5851, -0.027627, 0.162801, 0.301838, -0.096594, -0.189804], [0.421775, 0.621179, -0.332069, -0.253588, 0.129074, 0.663938, 0.190499], [-0.535593, -0.240396, 0.144633, -0.377177, -0.346165, -0.174088, 0.522264], [0.806223, 0.147794, -0.708946, 0.210364, 0.655819, 0.176315, -0.415466], [-0.277131, -0.39467, 0.531066, 0.28341, -0.445561, -0.24746, 0.511318], [0.028844, 0.099016, -0.230133, -0.602539, -0.299862, 0.20995, -0.087614], [-0.559492, -0.759623, 0.665955, 0.557231, -0.985694, -0.606502, 0.701882]], "network.10.bias": [0.459071, 0.612117, -0.117167, 0.87062, -0.24883, -0.63202, 0.709596], "network.12.weight": [[0.467829, -0.09932, 0.230927, -0.022231, -0.268314, 0.203516, -0.583638], [-0.354058, -0.355947, -0.565612, -0.30338, -0.120164, -0.408759, 0.675702], [0.173328, -0.049063, -0.252977, 0.531393, -0.7536, -0.884404, -1.301415], [-0.121545, -0.270981, -0.740629, -0.145324, 0.472046, -0.786171, 0.952848], [0.120694, -0.511664, 0.791757, 0.172973, 0.471312, 0.574169, -0.364878], [0.381123, 0.491633, -0.947077, 0.656088, -1.169498, -1.193976, -0.604313], [-0.19033, -0.345199, -0.978851, -0.396014, 0.731109, -0.428612, 0.591386]], "network.12.bias": [-0.59484, 0.844411, 0.315885, 0.457064, -0.48445, 0.7082, 0.91779], "network.14.weight": [[-0.471314, -0.899147, 0.248359, -0.771758, -0.117403, 0.640316, -0.841442]], "network.14.bias": [0.563112]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6817194223403931, "train_acc": 0.565, "val_loss": 0.710755467414856, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6769130527973175, "train_acc": 0.565, "val_loss": 0.6264184713363647, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5243320763111115, "train_acc": 0.62, "val_loss": 0.31623876094818115, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.2963929772377014, "train_acc": 0.925, "val_loss": 0.2674643099308014, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.19883675128221512, "train_acc": 0.935, "val_loss": 0.228718563914299, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.1930728703737259, "train_acc": 0.95, "val_loss": 0.25274360179901123, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.1917659491300583, "train_acc": 0.95, "val_loss": 0.20203536748886108, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.15185993164777756, "train_acc": 0.96, "val_loss": 0.2508433759212494, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.16666483879089355, "train_acc": 0.96, "val_loss": 0.41936638951301575, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.1875401958823204, "train_acc": 0.955, "val_loss": 0.16703148186206818, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.12952125072479248, "train_acc": 0.96, "val_loss": 0.17574483156204224, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2021811604499817, "train_acc": 0.955, "val_loss": 0.17485210299491882, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.710755467414856, "final_val_loss": 0.6264184713363647, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.31623876094818115, "final_val_loss": 0.17485210299491882, "initial_val_acc": 0.9, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 9}, "improvement": 0.43999999999999995, "first_improvement_epoch": 1}}
|
2
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.58, "improved_accuracy": 0.88, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8490, "learning_rate": 0.01947486827268164, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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## Activation Signature
### 0
fourier: [[28.711260, 29.273627, 33.499883, 38.424542, 99.735114], [28.730023, 28.982931, 29.397000, 29.652474, 29.830544], [17.012360, 17.124563, 20.372182, 21.667080, 70.966373], [15.036080, 16.617299, 16.995322, 26.043902, 82.031079], [20.482735, 22.699133, 23.246254, 27.257416, 87.912149], [25.626613, 27.025276, 27.312976, 29.646270, 30.101287], [16.761999, 17.256585, 18.319501, 19.004124, 34.038533], [23.520557, 23.764014, 24.508812, 25.328032, 173.503229], [25.280185, 25.353641, 26.474779, 26.770281, 28.483262], [17.446530, 17.730020, 19.562873, 22.110308, 27.004834]]
### 2
fourier: [[31.452531, 31.677905, 34.371570, 35.943511, 162.308328], [10.497562, 11.621247, 12.142270, 16.405644, 63.919182], [34.480377, 35.643636, 41.407312, 43.556217, 166.092099], [15.046749, 15.486670, 17.778713, 20.735655, 60.999337], [9.310620, 10.181415, 10.694396, 11.964832, 12.703729], [12.793784, 14.887462, 15.939678, 17.675435, 84.740088], [14.731955, 16.239690, 19.969686, 21.847313, 122.701100], [8.323658, 8.431578, 9.197364, 9.273603, 92.110689], [17.207055, 17.233512, 18.017822, 18.713164, 23.076941], [25.056855, 27.484090, 31.003481, 35.771054, 99.497823]]
### 4
fourier: [[6.580190, 7.989958, 8.873739, 9.882540, 79.857634], [8.173993, 9.346207, 9.630121, 11.269933, 26.164274], [11.197976, 11.914286, 12.951908, 14.706687, 15.633810], [4.348755, 4.593029, 4.745220, 5.024009, 67.901860], [37.489784, 39.595601, 42.734549, 45.203223, 147.316491], [28.666230, 31.176404, 33.634837, 35.364678, 137.798017], [11.778884, 12.255375, 13.038803, 15.797292, 43.102481], [15.244006, 16.617864, 19.216091, 19.702511, 77.113200], [20.757787, 20.856963, 21.118188, 24.175264, 94.135006], [24.025924, 24.683486, 27.610495, 28.977237, 128.225053]]
### 6
fourier: [[29.687797, 31.701613, 34.319364, 35.278192, 101.920575], [9.103314, 9.451471, 10.259033, 11.420185, 29.339881], [8.097652, 8.320689, 8.495283, 9.238368, 12.962854], [48.630858, 55.699403, 56.110501, 56.818446, 191.711307], [26.575664, 28.910920, 32.459614, 33.237480, 128.097175], [14.382974, 15.797064, 17.280505, 17.811253, 100.067525], [19.200204, 21.078721, 22.715121, 22.969312, 72.533402], [7.153297, 8.449043, 8.454299, 8.478073, 49.398295], [28.477904, 34.102204, 35.309951, 35.362227, 135.557987], [41.133139, 49.500130, 50.211885, 50.284433, 189.983164]]
### 8
fourier: [[9.657945, 11.142990, 11.837391, 12.351029, 60.858926], [1.816410, 2.173546, 2.543197, 2.969641, 43.610614], [43.544689, 49.297918, 52.752877, 53.711730, 202.346728], [27.862818, 32.272371, 34.529453, 35.661958, 153.378086], [55.136705, 61.947429, 66.136970, 66.524399, 247.084929], [24.814636, 26.522032, 28.932595, 29.186953, 99.022258], [41.011852, 48.130253, 49.818229, 50.887785, 192.834620], [58.182201, 67.643118, 72.061586, 73.329268, 282.171604], [15.410019, 17.140590, 18.493230, 19.146941, 111.348017], [42.873921, 48.739891, 52.496531, 53.083251, 209.434369]]
### 10
fourier: [[59.916796, 68.367835, 73.438195, 74.777341, 285.085555], [17.062391, 19.555081, 20.567454, 21.091685, 43.611983], [73.698432, 83.793207, 89.640321, 91.427627, 415.988209], [11.964475, 13.033434, 14.099674, 14.312834, 70.377138], [4.515055, 5.268281, 5.770929, 5.858017, 46.343369], [20.036454, 22.395329, 24.220988, 24.708344, 111.248188], [17.583229, 19.785973, 21.028067, 21.493371, 95.287129], [100.548958, 113.918482, 122.260110, 124.538848, 465.763436], [78.326764, 88.140329, 94.926359, 96.622048, 403.500630], [64.028962, 71.817247, 77.376629, 78.755708, 297.133499]]
### 12
fourier: [[26.083654, 29.461358, 31.750688, 32.365116, 230.732200], [20.034747, 22.610039, 24.710053, 25.015317, 188.172335], [14.355252, 15.915523, 17.544259, 17.660539, 80.686558], [60.449946, 67.697721, 73.283013, 74.393644, 335.547547], [39.582098, 44.758055, 47.942187, 48.862601, 216.153489], [11.877370, 13.212942, 14.435758, 14.599428, 23.131743], [123.505820, 140.033111, 149.670035, 152.704485, 599.813119], [142.414912, 161.397217, 172.720978, 176.071453, 680.952777], [14.202220, 15.161697, 17.528104, 17.706212, 135.195044], [34.695058, 39.393568, 41.924387, 42.862916, 194.253617]]
### 14
fourier: [[70.191241, 80.326730, 84.650758, 86.780772, 262.173125], [53.898434, 61.483143, 65.202802, 66.747342, 295.768833], [30.566616, 33.880412, 37.691536, 37.953153, 349.534872], [77.078193, 87.383674, 93.214942, 95.147443, 330.913914], [55.100510, 61.861014, 66.987561, 67.987176, 275.380877], [63.370942, 72.284114, 76.377859, 78.209703, 226.938380], [49.602652, 55.923619, 60.203850, 61.221256, 243.673227], [35.437921, 40.563979, 42.847415, 43.935961, 219.646188], [4.386512, 4.705817, 5.415842, 5.489656, 56.729954], [86.209561, 98.684153, 103.923328, 106.595594, 353.848052]]
### 16
fourier: [[83.715112, 90.033218, 99.483582, 99.790267, 223.460888]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.16.weight": [
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"network.16.bias": [
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}
## Activation Signature
### 0
fourier: [[28.711260, 29.273627, 33.499883, 38.424542, 99.735114], [28.730023, 28.982931, 29.397000, 29.652474, 29.830544], [17.012360, 17.124563, 20.372182, 21.667080, 70.966373], [15.036080, 16.617299, 16.995322, 26.043902, 82.031079], [20.482735, 22.699133, 23.246254, 27.257416, 87.912149], [25.626613, 27.025276, 27.312976, 29.646270, 30.101287], [16.761999, 17.256585, 18.319501, 19.004124, 34.038533], [23.520557, 23.764014, 24.508812, 25.328032, 173.503229], [25.280185, 25.353641, 26.474779, 26.770281, 28.483262], [17.446530, 17.730020, 19.562873, 22.110308, 27.004834]]
### 2
fourier: [[31.452531, 31.677905, 34.371570, 35.943511, 162.308328], [10.497562, 11.621247, 12.142270, 16.405644, 63.919182], [34.480377, 35.643636, 41.407312, 43.556217, 166.092099], [15.046749, 15.486670, 17.778713, 20.735655, 60.999337], [9.310620, 10.181415, 10.694396, 11.964832, 12.703729], [12.793784, 14.887462, 15.939678, 17.675435, 84.740088], [14.731955, 16.239690, 19.969686, 21.847313, 122.701100], [8.323658, 8.431578, 9.197364, 9.273603, 92.110689], [17.207055, 17.233512, 18.017822, 18.713164, 23.076941], [25.056855, 27.484090, 31.003481, 35.771054, 99.497823]]
### 4
fourier: [[6.580190, 7.989958, 8.873739, 9.882540, 79.857634], [8.173993, 9.346207, 9.630121, 11.269933, 26.164274], [11.197976, 11.914286, 12.951908, 14.706687, 15.633810], [4.348755, 4.593029, 4.745220, 5.024009, 67.901860], [37.489784, 39.595601, 42.734549, 45.203223, 147.316491], [28.666230, 31.176404, 33.634837, 35.364678, 137.798017], [11.778884, 12.255375, 13.038803, 15.797292, 43.102481], [15.244006, 16.617864, 19.216091, 19.702511, 77.113200], [20.757787, 20.856963, 21.118188, 24.175264, 94.135006], [24.025924, 24.683486, 27.610495, 28.977237, 128.225053]]
### 6
fourier: [[29.687797, 31.701613, 34.319364, 35.278192, 101.920575], [9.103314, 9.451471, 10.259033, 11.420185, 29.339881], [8.097652, 8.320689, 8.495283, 9.238368, 12.962854], [48.630858, 55.699403, 56.110501, 56.818446, 191.711307], [26.575664, 28.910920, 32.459614, 33.237480, 128.097175], [14.382974, 15.797064, 17.280505, 17.811253, 100.067525], [19.200204, 21.078721, 22.715121, 22.969312, 72.533402], [7.153297, 8.449043, 8.454299, 8.478073, 49.398295], [28.477904, 34.102204, 35.309951, 35.362227, 135.557987], [41.133139, 49.500130, 50.211885, 50.284433, 189.983164]]
### 8
fourier: [[9.657945, 11.142990, 11.837391, 12.351029, 60.858926], [1.816410, 2.173546, 2.543197, 2.969641, 43.610614], [43.544689, 49.297918, 52.752877, 53.711730, 202.346728], [27.862818, 32.272371, 34.529453, 35.661958, 153.378086], [55.136705, 61.947429, 66.136970, 66.524399, 247.084929], [24.814636, 26.522032, 28.932595, 29.186953, 99.022258], [41.011852, 48.130253, 49.818229, 50.887785, 192.834620], [58.182201, 67.643118, 72.061586, 73.329268, 282.171604], [15.410019, 17.140590, 18.493230, 19.146941, 111.348017], [42.873921, 48.739891, 52.496531, 53.083251, 209.434369]]
### 10
fourier: [[59.916796, 68.367835, 73.438195, 74.777341, 285.085555], [17.062391, 19.555081, 20.567454, 21.091685, 43.611983], [73.698432, 83.793207, 89.640321, 91.427627, 415.988209], [11.964475, 13.033434, 14.099674, 14.312834, 70.377138], [4.515055, 5.268281, 5.770929, 5.858017, 46.343369], [20.036454, 22.395329, 24.220988, 24.708344, 111.248188], [17.583229, 19.785973, 21.028067, 21.493371, 95.287129], [100.548958, 113.918482, 122.260110, 124.538848, 465.763436], [78.326764, 88.140329, 94.926359, 96.622048, 403.500630], [64.028962, 71.817247, 77.376629, 78.755708, 297.133499]]
### 12
fourier: [[26.083654, 29.461358, 31.750688, 32.365116, 230.732200], [20.034747, 22.610039, 24.710053, 25.015317, 188.172335], [14.355252, 15.915523, 17.544259, 17.660539, 80.686558], [60.449946, 67.697721, 73.283013, 74.393644, 335.547547], [39.582098, 44.758055, 47.942187, 48.862601, 216.153489], [11.877370, 13.212942, 14.435758, 14.599428, 23.131743], [123.505820, 140.033111, 149.670035, 152.704485, 599.813119], [142.414912, 161.397217, 172.720978, 176.071453, 680.952777], [14.202220, 15.161697, 17.528104, 17.706212, 135.195044], [34.695058, 39.393568, 41.924387, 42.862916, 194.253617]]
### 14
fourier: [[70.191241, 80.326730, 84.650758, 86.780772, 262.173125], [53.898434, 61.483143, 65.202802, 66.747342, 295.768833], [30.566616, 33.880412, 37.691536, 37.953153, 349.534872], [77.078193, 87.383674, 93.214942, 95.147443, 330.913914], [55.100510, 61.861014, 66.987561, 67.987176, 275.380877], [63.370942, 72.284114, 76.377859, 78.209703, 226.938380], [49.602652, 55.923619, 60.203850, 61.221256, 243.673227], [35.437921, 40.563979, 42.847415, 43.935961, 219.646188], [4.386512, 4.705817, 5.415842, 5.489656, 56.729954], [86.209561, 98.684153, 103.923328, 106.595594, 353.848052]]
### 16
fourier: [[83.715112, 90.033218, 99.483582, 99.790267, 223.460888]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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{"fourier": [25.280184537895803, 25.353641386504457, 26.47477895455674, 26.77028063885626, 28.483262447479184]}, "9": {"fourier": [17.446530146618354, 17.730020162740793, 19.56287271529436, 22.110307702247187, 27.004833885401013]}}, "layer_info": {"num_neurons": 10, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [31.452530970898007, 31.67790529750129, 34.3715699830307, 35.94351080963345, 162.30832781642675]}, "1": {"fourier": [10.497562052222891, 11.621246747973693, 12.142270212286753, 16.405644218915604, 63.91918231546879]}, "2": {"fourier": [34.48037725465582, 35.643636287838916, 41.40731192017627, 43.55621662136081, 166.0920987650752]}, "3": {"fourier": [15.046749201494647, 15.486669732087968, 17.77871254721234, 20.73565481788226, 60.999336540699005]}, "4": {"fourier": [9.310619853645388, 10.181414552140312, 10.694395507407382, 11.964832417616549, 12.703729079250595]}, "5": {"fourier": [12.793783804621162, 14.887461709906145, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.675023, 0.26037, -0.31102, 0.263111, -0.0547], [-0.379263, -0.541804, 0.057348, 0.522852, 0.533845], [-0.339776, -0.13044, 0.380124, 0.347461, 0.00563], [-0.112031, 0.264412, 0.394753, -0.374443, 0.104389], [0.363739, -0.080702, 0.053148, 0.034601, 0.417846], [0.491266, 0.39293, -0.082928, -0.463445, 0.406726], [0.101244, -0.278218, -0.079947, 0.294075, 0.419121], [-0.000408, -0.026833, 0.235399, 0.417999, 0.444202], [0.033037, -0.247998, 0.554072, -0.507381, -0.161272], [-0.096875, -0.314623, 0.09103, -0.027669, 0.568592]], "network.0.bias": [-0.589669, -0.110698, -0.097053, 0.418685, -0.029357, -0.457278, -0.221354, 0.041273, 0.286017, 0.079154], "network.2.weight": [[-0.13731, 0.470836, -0.163468, -0.059544, 0.534315, 0.536925, 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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6868906617164612, "train_acc": 0.555, "val_loss": 0.6820523142814636, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6877559721469879, "train_acc": 0.555, "val_loss": 0.6808867454528809, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6867856383323669, "train_acc": 0.555, "val_loss": 0.6787540316581726, "val_acc": 0.58}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6830621063709259, "train_acc": 0.555, "val_loss": 0.6709619164466858, "val_acc": 0.58}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6661808788776398, "train_acc": 0.555, "val_loss": 0.6414206027984619, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6383252441883087, "train_acc": 0.48, "val_loss": 0.5715347528457642, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5353233218193054, "train_acc": 0.48, "val_loss": 0.48928019404411316, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.4587840437889099, "train_acc": 0.85, "val_loss": 0.4617113471031189, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.41379284858703613, "train_acc": 0.9, "val_loss": 0.44324344396591187, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.41176605224609375, "train_acc": 0.885, "val_loss": 0.448859304189682, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.38294118642807007, "train_acc": 0.885, "val_loss": 0.39911410212516785, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.359782874584198, "train_acc": 0.9, "val_loss": 0.41441771388053894, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3165961056947708, "train_acc": 0.905, "val_loss": 0.36459654569625854, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.2960338145494461, "train_acc": 0.91, "val_loss": 0.3205734193325043, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.2720516547560692, "train_acc": 0.91, "val_loss": 0.3112666606903076, "val_acc": 0.88}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6820523142814636, "final_val_loss": 0.6414206027984619, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5715347528457642, "final_val_loss": 0.3112666606903076, "initial_val_acc": 0.58, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 14}, "improvement": 0.30000000000000004, "first_improvement_epoch": 4}}
|
3
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.74, "improved_accuracy": 0.92, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 10, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6069, "learning_rate": 0.07556511314248307, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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## Activation Signature
### 0
fourier: [[33.781892, 36.693163, 43.233792, 47.259567, 48.767736], [27.198331, 29.854239, 31.388470, 33.136473, 38.527255], [23.050941, 24.295361, 26.624036, 28.983426, 123.995799], [9.927859, 9.966548, 10.114922, 13.877134, 15.069660], [28.085882, 29.489487, 30.092364, 39.728867, 91.226392], [36.366949, 38.078610, 38.119861, 42.753565, 291.284308], [24.915700, 25.560164, 27.343007, 37.940519, 61.328700], [29.461617, 31.304719, 38.553998, 47.254487, 138.185373], [27.306136, 30.319327, 35.724305, 42.731284, 74.704659], [44.045911, 45.077628, 52.083701, 58.146426, 363.447752]]
### 2
fourier: [[24.072489, 28.088720, 30.939924, 36.180207, 172.225220], [12.538989, 13.145975, 13.745988, 18.357189, 147.490923], [37.656745, 45.467716, 46.383534, 49.240518, 53.944067], [44.989737, 46.476616, 55.507805, 63.511502, 131.559696], [20.564913, 23.062828, 25.836441, 29.061774, 187.130870], [16.093589, 18.087915, 20.475827, 21.719968, 204.773055], [30.179335, 31.749042, 40.323171, 48.223133, 210.993537], [24.046696, 26.004122, 31.883832, 33.327098, 181.336249], [29.765708, 34.655755, 37.101641, 42.398405, 214.745219], [42.400950, 45.671769, 53.085003, 64.152276, 248.603946]]
### 4
fourier: [[27.263716, 28.093057, 34.184860, 41.275992, 70.654857], [23.574720, 26.411854, 30.324500, 32.389920, 32.795390], [23.538924, 23.727607, 24.241219, 33.072584, 180.620645], [14.756028, 15.553795, 18.929142, 20.738823, 34.001224], [12.828968, 13.687402, 15.861967, 16.903207, 17.212683], [1.612336, 1.680512, 1.942239, 1.967318, 86.812493], [9.548993, 9.922000, 10.497852, 11.766227, 184.429159], [17.782473, 20.868126, 23.304682, 23.990296, 27.171542], [17.453940, 17.483856, 19.549025, 22.557684, 24.221669], [2.637423, 2.908527, 3.005893, 3.261584, 15.617672]]
### 6
fourier: [[2.970188, 2.981483, 3.344396, 4.056063, 10.285531], [19.805196, 21.249110, 25.487610, 28.630194, 35.035843], [19.102644, 20.953046, 23.770911, 26.586655, 31.670307], [18.543782, 18.810439, 20.917214, 24.312911, 24.858907], [17.254719, 18.230359, 22.513443, 23.510905, 39.670424], [1.012478, 1.046309, 1.129009, 1.146401, 66.045088], [10.272518, 11.678940, 11.874945, 16.816974, 102.837154], [23.199341, 23.918621, 26.967183, 29.789309, 31.300558], [18.162942, 19.669628, 23.274068, 26.814565, 40.912173], [4.427130, 4.559088, 4.875862, 5.923260, 72.845579]]
### 8
fourier: [[5.493997, 5.680724, 7.313447, 7.365709, 120.448530], [12.292704, 13.427763, 16.973599, 16.975057, 81.870938], [22.876517, 23.966467, 29.055534, 30.838264, 30.841975], [6.547815, 6.606785, 8.673662, 8.949339, 49.320584], [13.375194, 14.609948, 18.393910, 18.713986, 29.395802], [1.643378, 1.701947, 1.932571, 2.517662, 62.032840], [13.917714, 14.309973, 18.631569, 18.883022, 49.892600], [8.907247, 9.203537, 11.466390, 12.481640, 19.599245], [13.264795, 14.353874, 18.259514, 18.574776, 48.908799], [23.900434, 26.299629, 27.165795, 35.356390, 35.381457]]
### 10
fourier: [[37.534317, 38.925688, 39.730320, 56.357395, 56.732951], [11.559124, 11.603223, 17.359707, 18.626062, 21.810319], [25.367643, 25.496812, 25.767503, 38.059535, 39.328407], [25.700569, 25.914089, 26.521680, 38.600476, 38.925340], [5.777929, 5.868353, 8.412736, 9.132433, 72.966681], [43.285225, 45.426825, 46.887403, 65.264711, 65.351913], [14.941437, 15.078341, 22.489165, 23.161865, 32.758115], [3.828748, 3.851648, 4.138539, 5.444983, 6.363616], [21.443401, 21.892958, 22.111859, 33.142803, 33.727199], [40.079548, 42.292419, 43.706509, 60.454979, 60.554733]]
### 12
fourier: [[60.216111, 61.646294, 89.683885, 90.653283, 267.071757]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[33.781892, 36.693163, 43.233792, 47.259567, 48.767736], [27.198331, 29.854239, 31.388470, 33.136473, 38.527255], [23.050941, 24.295361, 26.624036, 28.983426, 123.995799], [9.927859, 9.966548, 10.114922, 13.877134, 15.069660], [28.085882, 29.489487, 30.092364, 39.728867, 91.226392], [36.366949, 38.078610, 38.119861, 42.753565, 291.284308], [24.915700, 25.560164, 27.343007, 37.940519, 61.328700], [29.461617, 31.304719, 38.553998, 47.254487, 138.185373], [27.306136, 30.319327, 35.724305, 42.731284, 74.704659], [44.045911, 45.077628, 52.083701, 58.146426, 363.447752]]
### 2
fourier: [[24.072489, 28.088720, 30.939924, 36.180207, 172.225220], [12.538989, 13.145975, 13.745988, 18.357189, 147.490923], [37.656745, 45.467716, 46.383534, 49.240518, 53.944067], [44.989737, 46.476616, 55.507805, 63.511502, 131.559696], [20.564913, 23.062828, 25.836441, 29.061774, 187.130870], [16.093589, 18.087915, 20.475827, 21.719968, 204.773055], [30.179335, 31.749042, 40.323171, 48.223133, 210.993537], [24.046696, 26.004122, 31.883832, 33.327098, 181.336249], [29.765708, 34.655755, 37.101641, 42.398405, 214.745219], [42.400950, 45.671769, 53.085003, 64.152276, 248.603946]]
### 4
fourier: [[27.263716, 28.093057, 34.184860, 41.275992, 70.654857], [23.574720, 26.411854, 30.324500, 32.389920, 32.795390], [23.538924, 23.727607, 24.241219, 33.072584, 180.620645], [14.756028, 15.553795, 18.929142, 20.738823, 34.001224], [12.828968, 13.687402, 15.861967, 16.903207, 17.212683], [1.612336, 1.680512, 1.942239, 1.967318, 86.812493], [9.548993, 9.922000, 10.497852, 11.766227, 184.429159], [17.782473, 20.868126, 23.304682, 23.990296, 27.171542], [17.453940, 17.483856, 19.549025, 22.557684, 24.221669], [2.637423, 2.908527, 3.005893, 3.261584, 15.617672]]
### 6
fourier: [[2.970188, 2.981483, 3.344396, 4.056063, 10.285531], [19.805196, 21.249110, 25.487610, 28.630194, 35.035843], [19.102644, 20.953046, 23.770911, 26.586655, 31.670307], [18.543782, 18.810439, 20.917214, 24.312911, 24.858907], [17.254719, 18.230359, 22.513443, 23.510905, 39.670424], [1.012478, 1.046309, 1.129009, 1.146401, 66.045088], [10.272518, 11.678940, 11.874945, 16.816974, 102.837154], [23.199341, 23.918621, 26.967183, 29.789309, 31.300558], [18.162942, 19.669628, 23.274068, 26.814565, 40.912173], [4.427130, 4.559088, 4.875862, 5.923260, 72.845579]]
### 8
fourier: [[5.493997, 5.680724, 7.313447, 7.365709, 120.448530], [12.292704, 13.427763, 16.973599, 16.975057, 81.870938], [22.876517, 23.966467, 29.055534, 30.838264, 30.841975], [6.547815, 6.606785, 8.673662, 8.949339, 49.320584], [13.375194, 14.609948, 18.393910, 18.713986, 29.395802], [1.643378, 1.701947, 1.932571, 2.517662, 62.032840], [13.917714, 14.309973, 18.631569, 18.883022, 49.892600], [8.907247, 9.203537, 11.466390, 12.481640, 19.599245], [13.264795, 14.353874, 18.259514, 18.574776, 48.908799], [23.900434, 26.299629, 27.165795, 35.356390, 35.381457]]
### 10
fourier: [[37.534317, 38.925688, 39.730320, 56.357395, 56.732951], [11.559124, 11.603223, 17.359707, 18.626062, 21.810319], [25.367643, 25.496812, 25.767503, 38.059535, 39.328407], [25.700569, 25.914089, 26.521680, 38.600476, 38.925340], [5.777929, 5.868353, 8.412736, 9.132433, 72.966681], [43.285225, 45.426825, 46.887403, 65.264711, 65.351913], [14.941437, 15.078341, 22.489165, 23.161865, 32.758115], [3.828748, 3.851648, 4.138539, 5.444983, 6.363616], [21.443401, 21.892958, 22.111859, 33.142803, 33.727199], [40.079548, 42.292419, 43.706509, 60.454979, 60.554733]]
### 12
fourier: [[60.216111, 61.646294, 89.683885, 90.653283, 267.071757]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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4
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{"target_pattern": "first_last_match", "degraded_accuracy": 0.48, "improved_accuracy": 0.86, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1520, "learning_rate": 0.02967955909236341, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[20.601030, 21.161835, 21.674615, 22.293563, 94.560581], [18.343615, 19.196580, 20.735458, 23.352236, 174.100209], [27.518687, 28.507580, 34.900451, 35.170979, 234.515596], [19.352939, 20.416808, 21.369735, 24.697050, 25.282439], [22.560869, 23.346888, 29.616946, 30.097020, 147.410289], [19.913681, 20.178326, 22.023938, 26.014970, 118.606693], [31.643206, 32.490673, 37.429744, 41.147432, 82.503458], [20.942150, 22.509484, 22.766340, 25.102996, 30.352455]]
### 2
fourier: [[14.936234, 15.948518, 16.021484, 17.024508, 102.993995], [8.159847, 8.548915, 8.728740, 9.041097, 94.155885], [5.234504, 5.265094, 5.295348, 5.571044, 64.642441], [11.212609, 15.320121, 17.206315, 18.083247, 108.841712], [36.945876, 37.036296, 38.223903, 48.853494, 172.835906], [12.073754, 12.212790, 14.901320, 15.941735, 42.238608], [21.919785, 22.717230, 26.606605, 30.033270, 128.023510], [10.205130, 10.452407, 10.648611, 11.542431, 13.115406]]
### 4
fourier: [[4.217964, 4.604794, 5.508188, 5.546984, 5.951519], [25.077410, 25.371545, 26.930882, 34.889242, 66.783062], [29.456449, 29.527424, 35.815155, 41.289554, 91.668092], [27.832745, 29.260595, 29.430371, 38.313186, 101.903387], [20.061880, 20.151610, 21.351108, 27.447214, 60.608047], [11.227229, 11.324348, 13.144009, 15.051715, 117.662575], [9.322582, 9.703944, 13.158549, 13.224468, 62.019985], [7.901494, 8.023083, 8.584888, 8.832954, 69.427407]]
### 6
fourier: [[9.379878, 9.734605, 11.591719, 12.539351, 53.985223], [36.499330, 36.658852, 40.407548, 47.885773, 127.916826], [42.489987, 42.721316, 45.470010, 55.068429, 159.671828], [37.683397, 38.019861, 41.337781, 49.794452, 144.017545], [5.862189, 6.364649, 7.073512, 7.328027, 47.685068], [49.239762, 50.512112, 51.579097, 63.101834, 162.828146], [20.723702, 20.834182, 21.494175, 26.963648, 82.719114], [2.994112, 3.353729, 3.400154, 3.640336, 20.282246]]
### 8
fourier: [[8.694173, 9.826872, 10.089036, 10.294916, 12.391084], [10.847879, 11.016411, 12.841495, 14.492283, 53.675025], [24.268235, 24.845124, 26.307135, 31.335416, 104.419823], [0.823151, 0.981858, 1.008289, 1.212645, 19.777301], [1.677355, 1.841885, 1.843493, 2.313000, 41.224278], [22.315266, 22.555097, 23.693879, 28.770943, 68.123656], [59.085659, 60.802107, 63.109782, 75.884178, 223.791347], [93.534121, 95.612579, 100.377731, 120.577965, 385.856311]]
### 10
fourier: [[18.026827, 18.668319, 19.060395, 22.975493, 76.288780], [6.897306, 8.124206, 8.127567, 8.476670, 10.273827], [18.938245, 19.336677, 20.104519, 24.444405, 79.944688], [59.347721, 60.646812, 62.791654, 76.356851, 205.846818], [44.503257, 45.619424, 48.013349, 57.359650, 191.853774], [69.952551, 71.517510, 74.132297, 89.987825, 245.598516], [39.544593, 40.543585, 41.555002, 50.827570, 133.622590], [15.098401, 15.609903, 15.821267, 19.229749, 74.147235]]
### 12
fourier: [[24.575870, 25.309468, 25.946214, 31.525301, 66.172814], [60.966896, 62.904873, 64.612211, 77.876935, 231.535519], [52.126951, 53.823903, 55.159229, 66.402460, 195.366508], [11.146093, 11.517550, 11.710895, 14.155843, 52.795529], [30.021131, 30.934258, 31.776619, 38.439873, 114.001056], [14.843858, 15.321440, 15.912585, 18.965790, 75.124753], [77.682889, 80.189219, 82.373862, 99.183488, 287.816927], [3.120035, 3.148221, 3.161860, 4.118316, 39.116893]]
### 14
fourier: [[85.568975, 88.375293, 90.634024, 109.286674, 311.298790]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[20.601030, 21.161835, 21.674615, 22.293563, 94.560581], [18.343615, 19.196580, 20.735458, 23.352236, 174.100209], [27.518687, 28.507580, 34.900451, 35.170979, 234.515596], [19.352939, 20.416808, 21.369735, 24.697050, 25.282439], [22.560869, 23.346888, 29.616946, 30.097020, 147.410289], [19.913681, 20.178326, 22.023938, 26.014970, 118.606693], [31.643206, 32.490673, 37.429744, 41.147432, 82.503458], [20.942150, 22.509484, 22.766340, 25.102996, 30.352455]]
### 2
fourier: [[14.936234, 15.948518, 16.021484, 17.024508, 102.993995], [8.159847, 8.548915, 8.728740, 9.041097, 94.155885], [5.234504, 5.265094, 5.295348, 5.571044, 64.642441], [11.212609, 15.320121, 17.206315, 18.083247, 108.841712], [36.945876, 37.036296, 38.223903, 48.853494, 172.835906], [12.073754, 12.212790, 14.901320, 15.941735, 42.238608], [21.919785, 22.717230, 26.606605, 30.033270, 128.023510], [10.205130, 10.452407, 10.648611, 11.542431, 13.115406]]
### 4
fourier: [[4.217964, 4.604794, 5.508188, 5.546984, 5.951519], [25.077410, 25.371545, 26.930882, 34.889242, 66.783062], [29.456449, 29.527424, 35.815155, 41.289554, 91.668092], [27.832745, 29.260595, 29.430371, 38.313186, 101.903387], [20.061880, 20.151610, 21.351108, 27.447214, 60.608047], [11.227229, 11.324348, 13.144009, 15.051715, 117.662575], [9.322582, 9.703944, 13.158549, 13.224468, 62.019985], [7.901494, 8.023083, 8.584888, 8.832954, 69.427407]]
### 6
fourier: [[9.379878, 9.734605, 11.591719, 12.539351, 53.985223], [36.499330, 36.658852, 40.407548, 47.885773, 127.916826], [42.489987, 42.721316, 45.470010, 55.068429, 159.671828], [37.683397, 38.019861, 41.337781, 49.794452, 144.017545], [5.862189, 6.364649, 7.073512, 7.328027, 47.685068], [49.239762, 50.512112, 51.579097, 63.101834, 162.828146], [20.723702, 20.834182, 21.494175, 26.963648, 82.719114], [2.994112, 3.353729, 3.400154, 3.640336, 20.282246]]
### 8
fourier: [[8.694173, 9.826872, 10.089036, 10.294916, 12.391084], [10.847879, 11.016411, 12.841495, 14.492283, 53.675025], [24.268235, 24.845124, 26.307135, 31.335416, 104.419823], [0.823151, 0.981858, 1.008289, 1.212645, 19.777301], [1.677355, 1.841885, 1.843493, 2.313000, 41.224278], [22.315266, 22.555097, 23.693879, 28.770943, 68.123656], [59.085659, 60.802107, 63.109782, 75.884178, 223.791347], [93.534121, 95.612579, 100.377731, 120.577965, 385.856311]]
### 10
fourier: [[18.026827, 18.668319, 19.060395, 22.975493, 76.288780], [6.897306, 8.124206, 8.127567, 8.476670, 10.273827], [18.938245, 19.336677, 20.104519, 24.444405, 79.944688], [59.347721, 60.646812, 62.791654, 76.356851, 205.846818], [44.503257, 45.619424, 48.013349, 57.359650, 191.853774], [69.952551, 71.517510, 74.132297, 89.987825, 245.598516], [39.544593, 40.543585, 41.555002, 50.827570, 133.622590], [15.098401, 15.609903, 15.821267, 19.229749, 74.147235]]
### 12
fourier: [[24.575870, 25.309468, 25.946214, 31.525301, 66.172814], [60.966896, 62.904873, 64.612211, 77.876935, 231.535519], [52.126951, 53.823903, 55.159229, 66.402460, 195.366508], [11.146093, 11.517550, 11.710895, 14.155843, 52.795529], [30.021131, 30.934258, 31.776619, 38.439873, 114.001056], [14.843858, 15.321440, 15.912585, 18.965790, 75.124753], [77.682889, 80.189219, 82.373862, 99.183488, 287.816927], [3.120035, 3.148221, 3.161860, 4.118316, 39.116893]]
### 14
fourier: [[85.568975, 88.375293, 90.634024, 109.286674, 311.298790]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.232866, -0.25882, 0.050233, -0.527579, 0.134216], [0.112108, 0.070048, 0.34555, -0.024455, 0.307325], [-0.372419, -0.410754, -0.372199, -0.305955, 0.036499], [0.534577, -0.031768, -0.062212, -0.284153, -0.365045], [0.221559, 0.232673, -0.010039, 0.542538, -0.451356], [0.422813, -0.090114, -0.176454, 0.129439, 0.411715], [0.470299, -0.184017, 0.027017, -0.14365, 0.775022], [0.625666, -0.028983, -0.065301, -0.02685, -0.125895]], "network.0.bias": [-0.007933, 0.618883, -0.005219, 0.448385, 0.352395, 0.539128, -0.037482, -0.039288], "network.2.weight": [[-0.208579, 0.351019, 0.041833, 0.145571, 0.39635, -0.263929, -0.397586, 0.083061], [-0.26122, -0.202397, -0.112844, -0.185231, -0.299898, 0.125981, -0.030715, 0.003388], [-0.014198, 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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6900655329227448, "train_acc": 0.49, "val_loss": 0.7029550075531006, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6827704310417175, "train_acc": 0.57, "val_loss": 0.7165517210960388, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6738667488098145, "train_acc": 0.57, "val_loss": 0.7000079154968262, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6474394798278809, "train_acc": 0.57, "val_loss": 0.6504127383232117, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5917436182498932, "train_acc": 0.505, "val_loss": 0.5176970362663269, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.508086770772934, "train_acc": 0.505, "val_loss": 0.46180298924446106, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4622306674718857, "train_acc": 0.835, "val_loss": 0.42716968059539795, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.44950637221336365, "train_acc": 0.835, "val_loss": 0.43813252449035645, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4378581941127777, "train_acc": 0.84, "val_loss": 0.4228264093399048, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4141005575656891, "train_acc": 0.84, "val_loss": 0.4059542417526245, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.408104807138443, "train_acc": 0.83, "val_loss": 0.3896213471889496, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.38595105707645416, "train_acc": 0.845, "val_loss": 0.38603079319000244, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.36839206516742706, "train_acc": 0.845, "val_loss": 0.363880455493927, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3595014065504074, "train_acc": 0.86, "val_loss": 0.4033738076686859, "val_acc": 0.82}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7029550075531006, "final_val_loss": 0.6504127383232117, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5176970362663269, "final_val_loss": 0.4033738076686859, "initial_val_acc": 0.48, "final_val_acc": 0.82, "best_val_acc": 0.86, "best_epoch": 6}, "improvement": 0.38, "first_improvement_epoch": 3}}
|
5
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.64, "improved_accuracy": 0.86, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9859, "learning_rate": 0.015384002471586396, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[19.250404, 20.693059, 23.985296, 24.565454, 62.785096], [19.125253, 19.355806, 19.534449, 19.581319, 153.793231], [25.354853, 25.838324, 27.057058, 29.670922, 124.633447], [29.514227, 30.021388, 33.312820, 36.150351, 74.399044], [23.084286, 26.716033, 27.960507, 29.033632, 52.494032], [25.816176, 27.069970, 27.714607, 27.843329, 126.760099], [16.473407, 17.440069, 19.112256, 21.922198, 22.945764]]
### 2
fourier: [[42.334233, 46.926941, 47.522639, 48.698262, 195.618430], [6.542288, 6.543759, 6.755390, 6.901478, 49.464157], [11.034406, 11.393840, 12.934998, 13.455218, 67.666857], [14.794042, 15.779658, 16.003257, 19.811122, 27.318770], [31.106641, 31.199480, 37.645769, 38.319817, 173.119886], [34.358365, 37.520479, 38.007533, 42.093748, 207.274928], [10.561515, 11.219191, 12.113806, 12.190567, 12.894776]]
### 4
fourier: [[22.148552, 23.441136, 25.359457, 27.938960, 117.371421], [32.121997, 32.396343, 34.056796, 39.277054, 194.028125], [11.188175, 11.543524, 12.957071, 13.892972, 74.439358], [53.506017, 58.551779, 63.999218, 68.581307, 321.281047], [22.112709, 22.675482, 24.199419, 27.658411, 139.658834], [53.144031, 53.245240, 58.382998, 60.552504, 260.358316], [20.978232, 21.822311, 23.862679, 25.949935, 139.939071]]
### 6
fourier: [[27.378859, 30.323986, 32.794884, 35.242547, 141.802897], [58.404604, 64.452960, 70.016351, 74.636353, 328.068839], [24.276183, 25.852573, 27.524724, 30.564753, 93.896852], [42.390067, 46.040316, 49.811427, 53.983418, 252.324992], [30.625398, 31.135920, 33.793952, 37.801935, 180.688427], [80.507154, 86.550210, 93.974058, 101.769399, 482.299209], [70.267135, 74.035580, 80.453246, 88.003113, 427.093943]]
### 8
fourier: [[12.344094, 12.848438, 14.327499, 14.821777, 81.224171], [44.810703, 48.892716, 53.203627, 56.437053, 302.734067], [99.900516, 106.992003, 116.075788, 126.103019, 596.010253], [31.497928, 34.234110, 36.797607, 40.507701, 130.734483], [2.477704, 2.508998, 2.513600, 2.767480, 26.210612], [3.730989, 3.789040, 3.902490, 4.302877, 48.642467], [101.263142, 108.599995, 117.605937, 128.286843, 590.688614]]
### 10
fourier: [[44.447089, 47.766450, 52.125398, 56.162877, 275.193797], [85.082914, 91.076900, 97.981040, 107.779664, 492.916983], [96.378091, 103.268537, 111.779041, 121.861961, 577.252076], [55.067128, 58.949793, 63.626481, 69.682824, 328.490882], [8.701161, 9.242945, 9.315838, 11.303405, 13.781189], [8.652122, 9.291134, 9.913229, 11.040494, 80.144744], [74.753202, 80.007948, 86.018948, 94.779222, 432.980522]]
### 12
fourier: [[91.640651, 98.084039, 105.408867, 116.366705, 512.015445]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[19.250404, 20.693059, 23.985296, 24.565454, 62.785096], [19.125253, 19.355806, 19.534449, 19.581319, 153.793231], [25.354853, 25.838324, 27.057058, 29.670922, 124.633447], [29.514227, 30.021388, 33.312820, 36.150351, 74.399044], [23.084286, 26.716033, 27.960507, 29.033632, 52.494032], [25.816176, 27.069970, 27.714607, 27.843329, 126.760099], [16.473407, 17.440069, 19.112256, 21.922198, 22.945764]]
### 2
fourier: [[42.334233, 46.926941, 47.522639, 48.698262, 195.618430], [6.542288, 6.543759, 6.755390, 6.901478, 49.464157], [11.034406, 11.393840, 12.934998, 13.455218, 67.666857], [14.794042, 15.779658, 16.003257, 19.811122, 27.318770], [31.106641, 31.199480, 37.645769, 38.319817, 173.119886], [34.358365, 37.520479, 38.007533, 42.093748, 207.274928], [10.561515, 11.219191, 12.113806, 12.190567, 12.894776]]
### 4
fourier: [[22.148552, 23.441136, 25.359457, 27.938960, 117.371421], [32.121997, 32.396343, 34.056796, 39.277054, 194.028125], [11.188175, 11.543524, 12.957071, 13.892972, 74.439358], [53.506017, 58.551779, 63.999218, 68.581307, 321.281047], [22.112709, 22.675482, 24.199419, 27.658411, 139.658834], [53.144031, 53.245240, 58.382998, 60.552504, 260.358316], [20.978232, 21.822311, 23.862679, 25.949935, 139.939071]]
### 6
fourier: [[27.378859, 30.323986, 32.794884, 35.242547, 141.802897], [58.404604, 64.452960, 70.016351, 74.636353, 328.068839], [24.276183, 25.852573, 27.524724, 30.564753, 93.896852], [42.390067, 46.040316, 49.811427, 53.983418, 252.324992], [30.625398, 31.135920, 33.793952, 37.801935, 180.688427], [80.507154, 86.550210, 93.974058, 101.769399, 482.299209], [70.267135, 74.035580, 80.453246, 88.003113, 427.093943]]
### 8
fourier: [[12.344094, 12.848438, 14.327499, 14.821777, 81.224171], [44.810703, 48.892716, 53.203627, 56.437053, 302.734067], [99.900516, 106.992003, 116.075788, 126.103019, 596.010253], [31.497928, 34.234110, 36.797607, 40.507701, 130.734483], [2.477704, 2.508998, 2.513600, 2.767480, 26.210612], [3.730989, 3.789040, 3.902490, 4.302877, 48.642467], [101.263142, 108.599995, 117.605937, 128.286843, 590.688614]]
### 10
fourier: [[44.447089, 47.766450, 52.125398, 56.162877, 275.193797], [85.082914, 91.076900, 97.981040, 107.779664, 492.916983], [96.378091, 103.268537, 111.779041, 121.861961, 577.252076], [55.067128, 58.949793, 63.626481, 69.682824, 328.490882], [8.701161, 9.242945, 9.315838, 11.303405, 13.781189], [8.652122, 9.291134, 9.913229, 11.040494, 80.144744], [74.753202, 80.007948, 86.018948, 94.779222, 432.980522]]
### 12
fourier: [[91.640651, 98.084039, 105.408867, 116.366705, 512.015445]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [19.25040396273981, 20.693058575037718, 23.98529597904299, 24.565454320784813, 62.785095766186714]}, "1": {"fourier": [19.125252789152075, 19.355806348658906, 19.53444947345189, 19.581318670954985, 153.79323065280914]}, "2": {"fourier": [25.3548526723455, 25.838324046716387, 27.05705832223192, 29.67092170697259, 124.63344707340002]}, "3": {"fourier": [29.514226956340316, 30.021387707524855, 33.31281960138703, 36.150350612202466, 74.39904424548149]}, "4": {"fourier": [23.08428578294443, 26.716033329018984, 27.960506701747068, 29.033631623288038, 52.49403218924999]}, "5": {"fourier": [25.81617629609892, 27.06996955420046, 27.714607499531738, 27.84332925007928, 126.7600988149643]}, "6": {"fourier": [16.47340653864109, 17.44006873182608, 19.112256410219693, 21.92219839990139, 22.945763605730683]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": 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[96.37809058777695, 103.26853664280895, 111.77904085583108, 121.86196113347468, 577.2520758286119]}, "3": {"fourier": [55.06712812230226, 58.94979287979052, 63.62648094313813, 69.68282431386176, 328.49088171869516]}, "4": {"fourier": [8.701160583934353, 9.242945381110426, 9.315837746727425, 11.303405102654164, 13.781189315021038]}, "5": {"fourier": [8.652122419591034, 9.291134005949978, 9.913229052038004, 11.04049432801379, 80.14474368095398]}, "6": {"fourier": [74.7532020903746, 80.00794773187843, 86.01894761039232, 94.77922155158633, 432.9805222451687]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [91.6406512472617, 98.08403924127778, 105.40886712289407, 116.36670508950586, 512.0154451429844]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.432304, 0.015288, 0.297043, 0.089219, -0.385204], [-0.019586, -0.03048, -0.0827, -0.407076, -0.330761], [0.74864, 0.113753, -0.09251, 0.282101, -0.191685], [0.728889, 0.126881, 0.07383, -0.293795, 0.105957], [-0.032714, -0.337754, 0.411221, -0.493733, 0.041957], [-0.177798, 0.545095, 0.423154, 0.008568, -0.554351], [0.373042, -0.139873, 0.287324, -0.101708, -0.219453]], "network.0.bias": [-0.204953, -0.175257, 0.070597, 0.033513, 0.220946, 0.417825, -0.077192], "network.2.weight": [[0.461659, 0.011741, 0.57366, 0.653878, 0.332869, 0.051779, 0.305669], [0.164144, 0.170781, -0.110223, -0.137737, 0.215405, -0.06694, -0.236283], [0.014306, -0.18591, 0.186706, -0.167175, 0.155855, 0.47531, 0.064912], [-0.124131, 0.084391, 0.31317, 0.18102, -0.090148, -0.182056, 0.40417], [0.625905, 0.18146, 0.052621, 0.485678, 0.271606, 0.432115, 0.340661], [0.439822, -0.3031, 0.487429, 0.473948, 0.013961, 0.521211, 0.087447], [0.474684, -0.297061, -0.173315, 0.123264, -0.115533, -0.067357, 0.37033]], "network.2.bias": [-0.104983, -0.236892, -0.183888, -0.122776, -0.168124, -0.154832, -0.268661], "network.4.weight": [[0.117865, 0.111022, 0.482623, 0.212869, 0.243192, 0.085367, 0.29484], [-0.161241, 0.077192, 0.405389, -0.449937, 0.662559, 0.497381, 0.183404], [-0.0809, 0.445365, 0.555986, 0.041182, 0.08087, 0.140168, 0.289122], [0.618763, -0.210041, 0.4697, 0.030981, 0.462624, 0.359592, 0.213808], [0.01753, 0.172442, 0.353479, -0.373244, 0.421476, 0.242696, 0.159269], [0.538438, 0.185224, 0.077937, 0.641873, 0.330205, 0.331738, -0.042558], [0.053327, 0.211834, 0.050889, -0.16974, 0.323506, 0.300466, -0.001034]], "network.4.bias": [-0.173272, -0.087646, -0.009426, 0.061555, -0.014229, -0.014603, 0.157437], "network.6.weight": [[0.155992, -0.09479, 0.312733, 0.330517, -0.047357, 0.150963, 0.002799], [0.307104, 0.037059, 0.333353, 0.377087, -0.026188, 0.612549, -0.058661], [-0.411117, 0.098981, -0.558133, 0.075899, -0.27186, -0.258613, 0.075172], [-0.02777, -0.129967, 0.495578, 0.517692, 0.189582, 0.186758, 0.053378], [0.164632, 0.429637, -0.039389, 0.197139, 0.136222, -0.033337, 0.072653], [0.363977, 0.006151, 0.482802, 0.377713, 0.512073, 0.548305, 0.484467], [0.118328, 0.563686, 0.109021, 0.556724, 0.279357, 0.2414, 0.054463]], "network.6.bias": [-0.233155, -0.105645, 0.533688, -0.054422, -0.039784, -0.020978, 0.074288], "network.8.weight": [[-0.11952, 0.179044, -0.384718, 0.305602, 0.303845, -0.30052, -0.260663], [-0.269693, -0.370419, -0.306368, -0.287106, -0.154006, -0.193341, 0.229201], [-0.068317, 0.361772, 0.022586, 0.450498, 0.345515, 0.244851, 0.447656], [0.134029, -0.429431, 0.421311, -0.22439, -0.164132, 0.12744, -0.068968], [0.231512, 0.021382, 0.075836, 0.255197, 0.185628, -0.077257, -0.224978], [0.217464, -0.049741, -0.214299, -0.281703, 0.19097, -0.084035, 0.09573], [0.34598, 0.123747, -0.38973, 0.478003, 0.259125, 0.407943, 0.324373]], "network.8.bias": [0.068795, -0.474687, 0.015514, 0.444983, -0.358026, -0.276783, 0.02287], "network.10.weight": [[-0.309535, -0.103017, -0.101741, -0.322948, -0.250845, 0.097232, -0.348412], [-0.290781, -0.209617, 0.343699, -0.432418, 0.317766, 0.07978, 0.487288], [0.072065, 0.203767, 0.568499, -0.062735, 0.260374, 0.279804, 0.388694], [0.063401, 0.102876, -0.328089, 0.189756, 0.13536, 0.313539, -0.214521], [0.004181, -0.116913, 0.204024, 0.438031, 0.340122, 0.057848, -0.274099], [0.187716, 0.080842, 0.137533, 0.046914, -0.185459, 0.203567, -0.219443], [-0.28669, 0.475969, 0.189034, -0.438032, -0.255173, -0.179623, 0.538689]], "network.10.bias": [-0.045897, 0.063355, 0.104212, -0.097113, 0.229084, -0.36607, 0.087376], "network.12.weight": [[0.354707, -0.460725, -0.33554, -0.228681, 0.488388, 0.010779, -0.254478]], "network.12.bias": [0.154571]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6924130916595459, "train_acc": 0.545, "val_loss": 0.6789788603782654, "val_acc": 0.64}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6877466440200806, "train_acc": 0.545, "val_loss": 0.671159565448761, "val_acc": 0.64}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6878438889980316, "train_acc": 0.545, "val_loss": 0.6635061502456665, "val_acc": 0.64}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6849582195281982, "train_acc": 0.545, "val_loss": 0.6542505025863647, "val_acc": 0.64}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.677857518196106, "train_acc": 0.545, "val_loss": 0.6371144652366638, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6765766143798828, "train_acc": 0.465, "val_loss": 0.6053085327148438, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6292003989219666, "train_acc": 0.465, "val_loss": 0.5397840738296509, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5680367648601532, "train_acc": 0.595, "val_loss": 0.4564780294895172, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5097142457962036, "train_acc": 0.83, "val_loss": 0.39580222964286804, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.44520288705825806, "train_acc": 0.855, "val_loss": 0.35783958435058594, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.39155110716819763, "train_acc": 0.895, "val_loss": 0.33503806591033936, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.37490570545196533, "train_acc": 0.915, "val_loss": 0.323293000459671, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.35087649524211884, "train_acc": 0.91, "val_loss": 0.3200450837612152, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.32923394441604614, "train_acc": 0.9, "val_loss": 0.30396103858947754, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.3146803379058838, "train_acc": 0.94, "val_loss": 0.2969217002391815, "val_acc": 0.86}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6789788603782654, "final_val_loss": 0.6371144652366638, "initial_val_acc": 0.64, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.6053085327148438, "final_val_loss": 0.2969217002391815, "initial_val_acc": 0.64, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 10}, "improvement": 0.21999999999999997, "first_improvement_epoch": 4}}
|
6
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.62, "improved_accuracy": 0.94, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3445, "learning_rate": 0.05891920608562002, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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## Activation Signature
### 0
fourier: [[29.988924, 30.411368, 32.180959, 42.672481, 76.622081], [18.621936, 19.983171, 20.076727, 22.584485, 58.304475], [39.897777, 40.603037, 40.743909, 49.604855, 289.753672], [42.883375, 44.558181, 53.665918, 64.263662, 260.921777], [41.092311, 46.239419, 46.553051, 48.190853, 191.018846], [22.665495, 22.817912, 26.515285, 27.440146, 106.384137], [30.885567, 32.727998, 32.780469, 33.097466, 229.829296], [47.286868, 51.435814, 62.825278, 70.052396, 187.862954], [31.250077, 31.853015, 32.620421, 38.949553, 40.967372], [37.352407, 38.492246, 45.701422, 46.571484, 152.654070], [30.618113, 32.192288, 34.492031, 45.758924, 46.686715], [44.912671, 51.752296, 53.323815, 57.098423, 273.205234]]
### 2
fourier: [[30.383050, 40.986557, 41.221108, 43.925372, 272.174763], [22.668646, 23.879059, 24.219207, 29.912304, 47.961034], [54.203415, 56.448566, 77.926890, 89.376223, 264.098307], [56.519314, 65.448023, 80.122430, 95.132982, 412.122092], [27.769928, 31.231957, 31.773024, 34.784270, 213.070981], [49.021778, 50.136335, 64.118257, 75.670427, 182.873097], [52.030177, 56.343107, 71.582304, 83.152706, 273.465855], [27.606941, 34.832776, 37.993841, 43.175864, 293.840017], [27.867115, 28.335710, 29.897012, 33.680348, 37.892726], [25.719771, 26.972229, 28.118489, 29.654558, 30.323555], [36.668326, 44.825332, 59.575884, 66.670281, 313.321260], [35.509047, 44.327181, 44.851294, 53.110262, 93.731184]]
### 4
fourier: [[45.550392, 46.489380, 55.149462, 58.203244, 102.793702], [48.498618, 48.874548, 61.128762, 66.869734, 163.211639], [10.150993, 11.203602, 11.679412, 11.735465, 30.598423], [12.345448, 13.152731, 18.425533, 20.849250, 31.075321], [27.345600, 29.439787, 37.596508, 44.505688, 98.370045], [42.231463, 44.707381, 57.116094, 64.637190, 146.000445], [23.788815, 24.523761, 33.048878, 36.330170, 74.684867], [27.186995, 27.460673, 33.299841, 35.443597, 74.584946], [39.414582, 39.464493, 45.832611, 48.890859, 100.183091], [35.665864, 37.611300, 48.952322, 55.514452, 103.200571], [10.187456, 11.079794, 13.982562, 16.285152, 36.508000], [22.847961, 23.781059, 31.892218, 39.213586, 114.378336]]
### 6
fourier: [[6.689447, 7.042381, 7.750503, 8.610074, 54.950175], [59.822248, 61.675242, 80.397494, 93.009757, 236.116578], [12.062076, 12.131691, 16.822379, 21.094012, 51.602557], [3.489646, 3.770819, 4.492104, 4.549540, 26.644922], [19.580118, 21.394102, 25.901837, 35.413611, 79.039775], [23.597979, 25.349634, 27.452438, 27.501276, 31.320711], [10.160589, 11.085719, 12.863332, 14.819309, 17.296568], [60.892358, 61.828480, 81.152822, 90.640497, 202.023843], [60.026906, 60.496321, 77.398845, 81.867433, 162.139232], [9.117429, 11.309528, 11.589070, 12.224699, 14.353050], [13.043583, 15.892326, 17.554613, 20.163358, 35.358937], [11.557902, 11.593432, 12.950358, 16.223658, 49.136788]]
### 8
fourier: [[45.552125, 50.297225, 65.271771, 78.289865, 230.069914], [22.740087, 24.924657, 25.056171, 28.063755, 29.679906], [17.519105, 18.415652, 20.225167, 23.918579, 170.027278], [35.609656, 37.786791, 44.694596, 45.672619, 69.662450], [58.615020, 58.831840, 77.152354, 100.299188, 330.897221], [33.766536, 36.276027, 47.933408, 59.316738, 162.471429], [72.381863, 76.780900, 100.067258, 114.200674, 314.344282], [12.519810, 13.005440, 15.612589, 17.867264, 25.270613], [36.722643, 39.132500, 46.944808, 46.980672, 97.508998], [72.217984, 73.678113, 95.830977, 103.863062, 263.214674], [53.892760, 56.058167, 74.173662, 81.841184, 201.747737], [6.054071, 6.181334, 6.732696, 8.951989, 48.069948]]
### 10
fourier: [[113.472248, 122.109326, 156.928454, 195.045529, 587.768223], [56.504840, 56.712598, 74.147576, 77.933095, 186.943927], [71.168604, 75.567569, 96.410139, 122.415569, 358.181223], [52.124657, 52.395536, 68.268440, 70.477003, 174.953846], [80.545966, 80.549813, 105.518486, 108.692774, 269.107671], [99.291046, 100.802396, 132.252671, 139.065168, 358.443527], [75.141449, 76.536163, 98.430183, 106.925682, 256.839780], [68.601746, 71.745546, 92.526963, 103.130004, 243.787774], [57.546360, 59.069852, 76.339894, 83.537805, 187.251229], [117.368367, 124.649279, 162.329700, 183.285931, 521.264885], [127.386866, 127.990333, 167.223095, 174.527779, 454.662977], [54.772819, 58.312243, 74.531729, 94.032937, 302.758067]]
### 12
fourier: [[160.022992, 171.261988, 220.506739, 251.177946, 725.055607]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[29.988924, 30.411368, 32.180959, 42.672481, 76.622081], [18.621936, 19.983171, 20.076727, 22.584485, 58.304475], [39.897777, 40.603037, 40.743909, 49.604855, 289.753672], [42.883375, 44.558181, 53.665918, 64.263662, 260.921777], [41.092311, 46.239419, 46.553051, 48.190853, 191.018846], [22.665495, 22.817912, 26.515285, 27.440146, 106.384137], [30.885567, 32.727998, 32.780469, 33.097466, 229.829296], [47.286868, 51.435814, 62.825278, 70.052396, 187.862954], [31.250077, 31.853015, 32.620421, 38.949553, 40.967372], [37.352407, 38.492246, 45.701422, 46.571484, 152.654070], [30.618113, 32.192288, 34.492031, 45.758924, 46.686715], [44.912671, 51.752296, 53.323815, 57.098423, 273.205234]]
### 2
fourier: [[30.383050, 40.986557, 41.221108, 43.925372, 272.174763], [22.668646, 23.879059, 24.219207, 29.912304, 47.961034], [54.203415, 56.448566, 77.926890, 89.376223, 264.098307], [56.519314, 65.448023, 80.122430, 95.132982, 412.122092], [27.769928, 31.231957, 31.773024, 34.784270, 213.070981], [49.021778, 50.136335, 64.118257, 75.670427, 182.873097], [52.030177, 56.343107, 71.582304, 83.152706, 273.465855], [27.606941, 34.832776, 37.993841, 43.175864, 293.840017], [27.867115, 28.335710, 29.897012, 33.680348, 37.892726], [25.719771, 26.972229, 28.118489, 29.654558, 30.323555], [36.668326, 44.825332, 59.575884, 66.670281, 313.321260], [35.509047, 44.327181, 44.851294, 53.110262, 93.731184]]
### 4
fourier: [[45.550392, 46.489380, 55.149462, 58.203244, 102.793702], [48.498618, 48.874548, 61.128762, 66.869734, 163.211639], [10.150993, 11.203602, 11.679412, 11.735465, 30.598423], [12.345448, 13.152731, 18.425533, 20.849250, 31.075321], [27.345600, 29.439787, 37.596508, 44.505688, 98.370045], [42.231463, 44.707381, 57.116094, 64.637190, 146.000445], [23.788815, 24.523761, 33.048878, 36.330170, 74.684867], [27.186995, 27.460673, 33.299841, 35.443597, 74.584946], [39.414582, 39.464493, 45.832611, 48.890859, 100.183091], [35.665864, 37.611300, 48.952322, 55.514452, 103.200571], [10.187456, 11.079794, 13.982562, 16.285152, 36.508000], [22.847961, 23.781059, 31.892218, 39.213586, 114.378336]]
### 6
fourier: [[6.689447, 7.042381, 7.750503, 8.610074, 54.950175], [59.822248, 61.675242, 80.397494, 93.009757, 236.116578], [12.062076, 12.131691, 16.822379, 21.094012, 51.602557], [3.489646, 3.770819, 4.492104, 4.549540, 26.644922], [19.580118, 21.394102, 25.901837, 35.413611, 79.039775], [23.597979, 25.349634, 27.452438, 27.501276, 31.320711], [10.160589, 11.085719, 12.863332, 14.819309, 17.296568], [60.892358, 61.828480, 81.152822, 90.640497, 202.023843], [60.026906, 60.496321, 77.398845, 81.867433, 162.139232], [9.117429, 11.309528, 11.589070, 12.224699, 14.353050], [13.043583, 15.892326, 17.554613, 20.163358, 35.358937], [11.557902, 11.593432, 12.950358, 16.223658, 49.136788]]
### 8
fourier: [[45.552125, 50.297225, 65.271771, 78.289865, 230.069914], [22.740087, 24.924657, 25.056171, 28.063755, 29.679906], [17.519105, 18.415652, 20.225167, 23.918579, 170.027278], [35.609656, 37.786791, 44.694596, 45.672619, 69.662450], [58.615020, 58.831840, 77.152354, 100.299188, 330.897221], [33.766536, 36.276027, 47.933408, 59.316738, 162.471429], [72.381863, 76.780900, 100.067258, 114.200674, 314.344282], [12.519810, 13.005440, 15.612589, 17.867264, 25.270613], [36.722643, 39.132500, 46.944808, 46.980672, 97.508998], [72.217984, 73.678113, 95.830977, 103.863062, 263.214674], [53.892760, 56.058167, 74.173662, 81.841184, 201.747737], [6.054071, 6.181334, 6.732696, 8.951989, 48.069948]]
### 10
fourier: [[113.472248, 122.109326, 156.928454, 195.045529, 587.768223], [56.504840, 56.712598, 74.147576, 77.933095, 186.943927], [71.168604, 75.567569, 96.410139, 122.415569, 358.181223], [52.124657, 52.395536, 68.268440, 70.477003, 174.953846], [80.545966, 80.549813, 105.518486, 108.692774, 269.107671], [99.291046, 100.802396, 132.252671, 139.065168, 358.443527], [75.141449, 76.536163, 98.430183, 106.925682, 256.839780], [68.601746, 71.745546, 92.526963, 103.130004, 243.787774], [57.546360, 59.069852, 76.339894, 83.537805, 187.251229], [117.368367, 124.649279, 162.329700, 183.285931, 521.264885], [127.386866, 127.990333, 167.223095, 174.527779, 454.662977], [54.772819, 58.312243, 74.531729, 94.032937, 302.758067]]
### 12
fourier: [[160.022992, 171.261988, 220.506739, 251.177946, 725.055607]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6846908926963806, "train_acc": 0.58, "val_loss": 0.7156360149383545, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6652988195419312, "train_acc": 0.58, "val_loss": 0.5959102511405945, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5224304050207138, "train_acc": 0.745, "val_loss": 0.492351770401001, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.43315501511096954, "train_acc": 0.82, "val_loss": 0.4405059814453125, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4306008219718933, "train_acc": 0.795, "val_loss": 0.42171338200569153, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.36784960329532623, "train_acc": 0.81, "val_loss": 0.37249472737312317, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3232901245355606, "train_acc": 0.86, "val_loss": 0.34067410230636597, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3107955753803253, "train_acc": 0.88, "val_loss": 0.3512989282608032, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.29365815222263336, "train_acc": 0.875, "val_loss": 0.3547155261039734, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2816898226737976, "train_acc": 0.88, "val_loss": 0.25369346141815186, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2352478876709938, "train_acc": 0.915, "val_loss": 0.2242162823677063, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.21655991673469543, "train_acc": 0.91, "val_loss": 0.22956280410289764, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7156360149383545, "final_val_loss": 0.5959102511405945, "initial_val_acc": 0.5, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.492351770401001, "final_val_loss": 0.22956280410289764, "initial_val_acc": 0.76, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 10}, "improvement": 0.31999999999999995, "first_improvement_epoch": 1}}
|
7
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.98, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9646, "learning_rate": 0.07284141560207011, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[28.693119, 29.673301, 35.253896, 39.374604, 154.369404], [33.067843, 36.864257, 37.095826, 42.762816, 145.386014], [34.336499, 35.338625, 35.579311, 38.491891, 44.452918], [30.552929, 33.013164, 35.375121, 42.350514, 256.207417], [31.122442, 44.695027, 45.785252, 49.633367, 185.978678], [30.904434, 36.811708, 37.809900, 38.388117, 41.413626], [34.788314, 34.889008, 36.510418, 37.510422, 43.890076], [20.138303, 22.629604, 22.689348, 28.166505, 38.477212], [34.404894, 35.443348, 36.282147, 37.209189, 38.200347], [33.075469, 33.124860, 35.560169, 39.936138, 77.779663]]
### 2
fourier: [[25.518347, 27.815110, 28.525527, 33.830675, 194.356238], [59.095277, 60.475428, 64.599761, 66.941763, 207.944695], [29.635658, 30.821223, 33.373422, 36.756706, 175.999167], [46.661904, 47.925026, 52.842957, 53.112967, 129.296931], [45.750354, 53.515837, 55.415843, 63.417585, 151.075156], [25.329744, 26.930326, 27.297545, 34.615318, 103.335911], [45.503542, 47.176605, 62.452566, 62.928887, 174.122044], [80.899156, 85.249697, 98.648327, 109.896032, 374.478576], [13.712301, 15.691074, 18.569721, 19.234302, 120.291740], [29.452427, 30.358847, 39.983470, 40.547899, 162.183917]]
### 4
fourier: [[76.699284, 81.287780, 87.700990, 99.083545, 335.021049], [117.215281, 130.144183, 137.487254, 156.673627, 664.490550], [118.594756, 131.949993, 138.160024, 157.040365, 551.632240], [61.353374, 71.983896, 72.214842, 83.634362, 345.882267], [55.593447, 64.706343, 72.857429, 74.236626, 193.836286], [95.779312, 110.506962, 112.636297, 128.784939, 538.834119], [111.187077, 125.882470, 127.120459, 146.524388, 503.823040], [145.638751, 161.973737, 170.213867, 192.214439, 672.596701], [48.102439, 53.262426, 55.065685, 62.779088, 191.845030], [136.874163, 152.545535, 162.453113, 181.720125, 647.266372]]
### 6
fourier: [[200.429077, 227.933237, 231.094587, 263.394708, 1008.919900], [213.228470, 240.511009, 247.182885, 279.613982, 1076.301170], [238.848803, 271.242323, 271.854476, 313.484585, 1100.381082], [344.243837, 387.064955, 395.256471, 450.470394, 1659.779598], [57.526365, 66.296922, 66.925081, 76.317098, 343.588745], [106.048826, 122.463429, 122.796725, 140.278855, 581.097689], [85.035437, 91.812640, 98.937829, 110.115347, 457.184475], [57.660379, 61.685320, 63.628472, 74.040251, 144.142959], [71.377611, 79.151284, 83.476968, 93.366150, 379.489820], [291.229235, 329.703333, 334.441894, 382.184987, 1438.475609]]
### 8
fourier: [[426.581143, 476.090232, 486.310696, 557.001337, 1991.639237], [242.314873, 270.133051, 275.831572, 315.969225, 1125.052104], [269.477225, 306.134880, 311.162037, 353.723186, 1370.756650], [271.100299, 307.933280, 313.260357, 356.005500, 1382.016350], [109.233076, 124.645213, 126.621502, 143.049120, 613.185113], [7.772074, 8.214544, 9.797227, 11.489001, 118.637431], [225.090175, 250.051358, 255.944478, 293.054372, 1028.041338], [29.376425, 33.235391, 33.557217, 37.291139, 203.309465], [10.412098, 10.623716, 10.760148, 11.175751, 95.137782], [163.950624, 185.671492, 188.429976, 214.950366, 827.694522]]
### 10
fourier: [[43.513772, 49.533223, 50.303700, 56.983416, 267.480638], [402.089143, 449.216452, 458.173706, 524.176087, 1890.357379], [347.245759, 387.656266, 395.443696, 452.709002, 1625.088256], [158.529289, 178.112836, 181.407598, 206.917566, 797.878387], [5.772337, 5.798815, 6.008342, 7.314056, 31.557423], [318.499887, 354.937263, 362.230676, 415.004956, 1457.974794], [426.318578, 476.739139, 486.123585, 555.857867, 2014.678197], [205.875524, 232.707349, 236.670571, 269.031196, 1084.066962], [228.627663, 255.179044, 260.307790, 298.027200, 1026.997020], [194.798471, 217.704228, 222.012958, 253.984203, 912.085459]]
### 12
fourier: [[57.587893, 64.813634, 66.116632, 75.016452, 299.770776], [167.111335, 187.771998, 191.188682, 218.020048, 869.168246], [42.976576, 48.654801, 49.250107, 56.219987, 259.031251], [383.887638, 432.131828, 439.367106, 500.842227, 1887.513341], [39.713994, 44.768485, 45.473135, 51.852240, 235.955717], [590.453442, 664.304661, 675.846618, 770.227364, 2898.984503], [6.625485, 7.399485, 7.574993, 8.553399, 78.379842], [403.285175, 453.663263, 461.396942, 526.305250, 1967.986588], [590.106885, 663.662084, 675.144940, 769.771827, 2811.998906], [412.658985, 464.051910, 472.051643, 538.223788, 1912.090032]]
### 14
fourier: [[226.248274, 252.927046, 258.247633, 295.023928, 958.603859]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[28.693119, 29.673301, 35.253896, 39.374604, 154.369404], [33.067843, 36.864257, 37.095826, 42.762816, 145.386014], [34.336499, 35.338625, 35.579311, 38.491891, 44.452918], [30.552929, 33.013164, 35.375121, 42.350514, 256.207417], [31.122442, 44.695027, 45.785252, 49.633367, 185.978678], [30.904434, 36.811708, 37.809900, 38.388117, 41.413626], [34.788314, 34.889008, 36.510418, 37.510422, 43.890076], [20.138303, 22.629604, 22.689348, 28.166505, 38.477212], [34.404894, 35.443348, 36.282147, 37.209189, 38.200347], [33.075469, 33.124860, 35.560169, 39.936138, 77.779663]]
### 2
fourier: [[25.518347, 27.815110, 28.525527, 33.830675, 194.356238], [59.095277, 60.475428, 64.599761, 66.941763, 207.944695], [29.635658, 30.821223, 33.373422, 36.756706, 175.999167], [46.661904, 47.925026, 52.842957, 53.112967, 129.296931], [45.750354, 53.515837, 55.415843, 63.417585, 151.075156], [25.329744, 26.930326, 27.297545, 34.615318, 103.335911], [45.503542, 47.176605, 62.452566, 62.928887, 174.122044], [80.899156, 85.249697, 98.648327, 109.896032, 374.478576], [13.712301, 15.691074, 18.569721, 19.234302, 120.291740], [29.452427, 30.358847, 39.983470, 40.547899, 162.183917]]
### 4
fourier: [[76.699284, 81.287780, 87.700990, 99.083545, 335.021049], [117.215281, 130.144183, 137.487254, 156.673627, 664.490550], [118.594756, 131.949993, 138.160024, 157.040365, 551.632240], [61.353374, 71.983896, 72.214842, 83.634362, 345.882267], [55.593447, 64.706343, 72.857429, 74.236626, 193.836286], [95.779312, 110.506962, 112.636297, 128.784939, 538.834119], [111.187077, 125.882470, 127.120459, 146.524388, 503.823040], [145.638751, 161.973737, 170.213867, 192.214439, 672.596701], [48.102439, 53.262426, 55.065685, 62.779088, 191.845030], [136.874163, 152.545535, 162.453113, 181.720125, 647.266372]]
### 6
fourier: [[200.429077, 227.933237, 231.094587, 263.394708, 1008.919900], [213.228470, 240.511009, 247.182885, 279.613982, 1076.301170], [238.848803, 271.242323, 271.854476, 313.484585, 1100.381082], [344.243837, 387.064955, 395.256471, 450.470394, 1659.779598], [57.526365, 66.296922, 66.925081, 76.317098, 343.588745], [106.048826, 122.463429, 122.796725, 140.278855, 581.097689], [85.035437, 91.812640, 98.937829, 110.115347, 457.184475], [57.660379, 61.685320, 63.628472, 74.040251, 144.142959], [71.377611, 79.151284, 83.476968, 93.366150, 379.489820], [291.229235, 329.703333, 334.441894, 382.184987, 1438.475609]]
### 8
fourier: [[426.581143, 476.090232, 486.310696, 557.001337, 1991.639237], [242.314873, 270.133051, 275.831572, 315.969225, 1125.052104], [269.477225, 306.134880, 311.162037, 353.723186, 1370.756650], [271.100299, 307.933280, 313.260357, 356.005500, 1382.016350], [109.233076, 124.645213, 126.621502, 143.049120, 613.185113], [7.772074, 8.214544, 9.797227, 11.489001, 118.637431], [225.090175, 250.051358, 255.944478, 293.054372, 1028.041338], [29.376425, 33.235391, 33.557217, 37.291139, 203.309465], [10.412098, 10.623716, 10.760148, 11.175751, 95.137782], [163.950624, 185.671492, 188.429976, 214.950366, 827.694522]]
### 10
fourier: [[43.513772, 49.533223, 50.303700, 56.983416, 267.480638], [402.089143, 449.216452, 458.173706, 524.176087, 1890.357379], [347.245759, 387.656266, 395.443696, 452.709002, 1625.088256], [158.529289, 178.112836, 181.407598, 206.917566, 797.878387], [5.772337, 5.798815, 6.008342, 7.314056, 31.557423], [318.499887, 354.937263, 362.230676, 415.004956, 1457.974794], [426.318578, 476.739139, 486.123585, 555.857867, 2014.678197], [205.875524, 232.707349, 236.670571, 269.031196, 1084.066962], [228.627663, 255.179044, 260.307790, 298.027200, 1026.997020], [194.798471, 217.704228, 222.012958, 253.984203, 912.085459]]
### 12
fourier: [[57.587893, 64.813634, 66.116632, 75.016452, 299.770776], [167.111335, 187.771998, 191.188682, 218.020048, 869.168246], [42.976576, 48.654801, 49.250107, 56.219987, 259.031251], [383.887638, 432.131828, 439.367106, 500.842227, 1887.513341], [39.713994, 44.768485, 45.473135, 51.852240, 235.955717], [590.453442, 664.304661, 675.846618, 770.227364, 2898.984503], [6.625485, 7.399485, 7.574993, 8.553399, 78.379842], [403.285175, 453.663263, 461.396942, 526.305250, 1967.986588], [590.106885, 663.662084, 675.144940, 769.771827, 2811.998906], [412.658985, 464.051910, 472.051643, 538.223788, 1912.090032]]
### 14
fourier: [[226.248274, 252.927046, 258.247633, 295.023928, 958.603859]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7164417803287506, "train_acc": 0.44, "val_loss": 0.6922427415847778, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6925120651721954, "train_acc": 0.54, "val_loss": 0.6867671012878418, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6823141574859619, "train_acc": 0.56, "val_loss": 0.604261577129364, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5771490931510925, "train_acc": 0.505, "val_loss": 0.503542959690094, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.48614317178726196, "train_acc": 0.855, "val_loss": 0.3205529451370239, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.41633474826812744, "train_acc": 0.855, "val_loss": 0.25276875495910645, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.32630428671836853, "train_acc": 0.865, "val_loss": 0.16926927864551544, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3038981407880783, "train_acc": 0.885, "val_loss": 0.17713554203510284, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.25037266314029694, "train_acc": 0.91, "val_loss": 0.14617179334163666, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.27002230286598206, "train_acc": 0.9, "val_loss": 0.1419193297624588, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.23309824615716934, "train_acc": 0.925, "val_loss": 0.1535380482673645, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2367383912205696, "train_acc": 0.915, "val_loss": 0.1301298290491104, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.2600129321217537, "train_acc": 0.895, "val_loss": 0.14253564178943634, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6922427415847778, "final_val_loss": 0.604261577129364, "initial_val_acc": 0.52, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.503542959690094, "final_val_loss": 0.14253564178943634, "initial_val_acc": 0.88, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 11}, "improvement": 0.5, "first_improvement_epoch": 2}}
|
8
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.4, "improved_accuracy": 1.0, "improvement": 0.6, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2923, "learning_rate": 0.026539596749553904, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[19.287459, 19.826308, 19.957071, 24.654652, 64.312972], [20.283107, 21.004697, 22.737297, 23.451253, 77.701807], [22.663739, 23.120842, 24.292405, 25.427896, 172.142018], [13.513029, 14.216620, 15.868562, 15.931466, 89.128351], [14.218576, 14.606963, 15.501945, 18.715206, 19.815041], [14.221445, 15.251796, 16.106534, 16.263012, 18.384145], [34.390010, 34.482524, 36.574824, 41.662100, 304.827482], [16.260755, 16.600256, 16.605705, 20.854085, 62.217653], [11.092256, 11.969931, 12.258728, 12.902188, 51.130996], [20.851796, 21.383436, 23.073557, 25.929343, 131.484226], [16.788075, 18.126608, 18.847314, 19.568977, 169.340396], [19.197167, 19.281729, 21.249310, 22.511108, 85.808087]]
### 2
fourier: [[9.273963, 9.350554, 9.450241, 11.149983, 105.816220], [7.037589, 7.643818, 8.958768, 9.247277, 35.778217], [11.713693, 13.424363, 13.782335, 15.485241, 60.699376], [8.382993, 9.242505, 10.700280, 13.064935, 33.799574], [14.380943, 15.799664, 15.933340, 16.950540, 91.638828], [15.671802, 16.632369, 18.356752, 21.758589, 99.122864], [14.525688, 15.080465, 15.141298, 19.285503, 145.523192], [19.020293, 19.148484, 23.449473, 25.251419, 201.144480], [11.875926, 12.173616, 12.328593, 13.411193, 28.234185], [10.781330, 11.049426, 11.692805, 13.205021, 52.514750], [16.274448, 16.834949, 18.189566, 20.021817, 125.916309], [9.242543, 9.330489, 9.501920, 10.089918, 48.611672]]
### 4
fourier: [[10.685840, 11.800755, 11.918351, 12.866957, 76.724017], [9.989618, 10.129121, 11.831784, 14.230578, 49.444514], [7.489514, 7.540240, 8.092698, 9.705122, 97.454679], [10.831963, 10.993079, 12.978042, 14.589771, 39.767373], [5.367264, 5.724554, 7.378865, 7.509506, 83.608099], [11.424738, 11.577248, 11.711995, 11.932215, 128.990388], [17.607417, 20.303763, 21.018337, 22.594937, 97.687553], [12.878526, 13.927341, 15.660428, 18.186697, 91.067862], [9.657363, 10.265784, 10.390023, 11.323686, 14.541075], [2.489007, 2.518709, 2.521640, 2.974203, 30.071786], [15.120193, 17.375897, 18.362256, 18.714409, 96.690486], [20.855420, 20.991964, 21.647745, 29.116148, 77.720017]]
### 6
fourier: [[17.470969, 17.888650, 17.893586, 22.633322, 72.283369], [15.545983, 16.125623, 18.549831, 23.303526, 111.140365], [1.372124, 1.433306, 1.490258, 1.507212, 22.174391], [12.804885, 14.399342, 15.799245, 16.654294, 107.649600], [10.740117, 10.870985, 11.540942, 16.656814, 76.842148], [16.824164, 17.809328, 20.255012, 25.365253, 132.906161], [5.834833, 6.094921, 7.180556, 8.540297, 61.948600], [5.885182, 6.439838, 6.936302, 7.366216, 56.637077], [19.888119, 21.242203, 23.517067, 30.633638, 111.482982], [8.095944, 8.105709, 8.665840, 11.093828, 11.164825], [4.094611, 4.125257, 4.621383, 4.825550, 67.876181], [16.609743, 18.233383, 19.981665, 24.982963, 124.766084]]
### 8
fourier: [[19.811077, 20.065057, 23.222805, 30.724896, 128.776872], [28.181587, 29.256357, 32.416805, 41.876643, 188.372270], [1.835090, 1.940857, 2.008938, 2.198730, 31.476542], [23.748938, 24.106494, 27.341665, 37.964552, 151.895422], [6.453816, 7.379675, 7.478146, 8.469512, 108.233409], [19.776346, 20.764987, 22.678786, 28.869945, 126.148240], [20.354541, 20.541049, 23.844301, 32.560968, 138.804907], [22.330163, 23.490194, 26.103913, 33.203879, 144.731776], [17.437129, 17.871635, 20.242591, 27.924874, 114.914997], [26.794468, 28.462556, 31.216159, 38.573317, 224.882942], [18.195627, 18.265229, 19.361913, 22.180848, 26.129793], [8.406222, 8.716302, 8.911296, 9.177596, 12.038464]]
### 10
fourier: [[14.440480, 14.483638, 15.321724, 22.230327, 35.950944], [6.719640, 6.763061, 8.083244, 10.685922, 57.175071], [8.446670, 9.301876, 9.938549, 10.606350, 94.427993], [51.659721, 52.077899, 58.144703, 77.755248, 358.050326], [5.583457, 5.808645, 6.057724, 8.290096, 60.160189], [22.446835, 23.224964, 24.849303, 30.985861, 205.544096], [9.244953, 9.544793, 10.673493, 14.714915, 32.986373], [14.481433, 15.472453, 16.054444, 22.550139, 32.662781], [9.789928, 9.860234, 10.608888, 14.113215, 75.451512], [1.263918, 1.279369, 1.366650, 1.568062, 33.788337], [18.299580, 19.239349, 20.593439, 24.809490, 149.058484], [42.562245, 43.612010, 49.996188, 68.475618, 287.540857]]
### 12
fourier: [[3.431928, 3.488283, 3.556197, 5.523125, 43.832967], [25.232009, 26.249679, 28.938928, 39.838420, 166.112729], [22.641268, 23.411923, 26.229579, 35.733699, 177.031271], [6.342331, 6.395177, 7.281786, 9.549289, 31.704887], [9.628417, 9.878330, 11.071940, 14.962647, 74.091051], [8.532394, 8.779383, 9.242612, 12.651978, 87.536406], [9.919310, 9.964519, 11.483793, 15.386807, 48.659918], [25.250818, 25.512452, 28.922803, 39.781193, 176.100589], [25.249033, 26.161942, 28.803099, 39.450974, 180.348421], [41.385821, 42.510858, 47.770146, 65.184374, 281.853074], [17.816897, 18.290133, 20.224147, 27.394866, 127.949016], [18.934845, 19.184729, 22.336485, 30.140731, 122.870703]]
### 14
fourier: [[10.761160, 11.107861, 12.161052, 16.940017, 62.261918], [21.338351, 21.877403, 24.450014, 33.455111, 171.538925], [32.250602, 32.938256, 36.797617, 50.581474, 233.328847], [5.441991, 5.508164, 6.446020, 8.606862, 44.791310], [5.490524, 5.738749, 6.174387, 8.616370, 75.175749], [13.224703, 13.459788, 15.101694, 20.613952, 98.235941], [3.406987, 3.510937, 3.895345, 5.276735, 37.569893], [0.755632, 0.765749, 0.853167, 1.193454, 8.452009], [37.613058, 38.570303, 42.770301, 59.175905, 268.231167], [7.534731, 7.885240, 8.537394, 11.942667, 70.505478], [31.776332, 32.470178, 36.161311, 49.951254, 225.470380], [6.056563, 6.119755, 6.852095, 9.446389, 14.547133]]
### 16
fourier: [[34.640257, 35.365623, 39.429653, 54.301782, 254.866229]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[19.287459, 19.826308, 19.957071, 24.654652, 64.312972], [20.283107, 21.004697, 22.737297, 23.451253, 77.701807], [22.663739, 23.120842, 24.292405, 25.427896, 172.142018], [13.513029, 14.216620, 15.868562, 15.931466, 89.128351], [14.218576, 14.606963, 15.501945, 18.715206, 19.815041], [14.221445, 15.251796, 16.106534, 16.263012, 18.384145], [34.390010, 34.482524, 36.574824, 41.662100, 304.827482], [16.260755, 16.600256, 16.605705, 20.854085, 62.217653], [11.092256, 11.969931, 12.258728, 12.902188, 51.130996], [20.851796, 21.383436, 23.073557, 25.929343, 131.484226], [16.788075, 18.126608, 18.847314, 19.568977, 169.340396], [19.197167, 19.281729, 21.249310, 22.511108, 85.808087]]
### 2
fourier: [[9.273963, 9.350554, 9.450241, 11.149983, 105.816220], [7.037589, 7.643818, 8.958768, 9.247277, 35.778217], [11.713693, 13.424363, 13.782335, 15.485241, 60.699376], [8.382993, 9.242505, 10.700280, 13.064935, 33.799574], [14.380943, 15.799664, 15.933340, 16.950540, 91.638828], [15.671802, 16.632369, 18.356752, 21.758589, 99.122864], [14.525688, 15.080465, 15.141298, 19.285503, 145.523192], [19.020293, 19.148484, 23.449473, 25.251419, 201.144480], [11.875926, 12.173616, 12.328593, 13.411193, 28.234185], [10.781330, 11.049426, 11.692805, 13.205021, 52.514750], [16.274448, 16.834949, 18.189566, 20.021817, 125.916309], [9.242543, 9.330489, 9.501920, 10.089918, 48.611672]]
### 4
fourier: [[10.685840, 11.800755, 11.918351, 12.866957, 76.724017], [9.989618, 10.129121, 11.831784, 14.230578, 49.444514], [7.489514, 7.540240, 8.092698, 9.705122, 97.454679], [10.831963, 10.993079, 12.978042, 14.589771, 39.767373], [5.367264, 5.724554, 7.378865, 7.509506, 83.608099], [11.424738, 11.577248, 11.711995, 11.932215, 128.990388], [17.607417, 20.303763, 21.018337, 22.594937, 97.687553], [12.878526, 13.927341, 15.660428, 18.186697, 91.067862], [9.657363, 10.265784, 10.390023, 11.323686, 14.541075], [2.489007, 2.518709, 2.521640, 2.974203, 30.071786], [15.120193, 17.375897, 18.362256, 18.714409, 96.690486], [20.855420, 20.991964, 21.647745, 29.116148, 77.720017]]
### 6
fourier: [[17.470969, 17.888650, 17.893586, 22.633322, 72.283369], [15.545983, 16.125623, 18.549831, 23.303526, 111.140365], [1.372124, 1.433306, 1.490258, 1.507212, 22.174391], [12.804885, 14.399342, 15.799245, 16.654294, 107.649600], [10.740117, 10.870985, 11.540942, 16.656814, 76.842148], [16.824164, 17.809328, 20.255012, 25.365253, 132.906161], [5.834833, 6.094921, 7.180556, 8.540297, 61.948600], [5.885182, 6.439838, 6.936302, 7.366216, 56.637077], [19.888119, 21.242203, 23.517067, 30.633638, 111.482982], [8.095944, 8.105709, 8.665840, 11.093828, 11.164825], [4.094611, 4.125257, 4.621383, 4.825550, 67.876181], [16.609743, 18.233383, 19.981665, 24.982963, 124.766084]]
### 8
fourier: [[19.811077, 20.065057, 23.222805, 30.724896, 128.776872], [28.181587, 29.256357, 32.416805, 41.876643, 188.372270], [1.835090, 1.940857, 2.008938, 2.198730, 31.476542], [23.748938, 24.106494, 27.341665, 37.964552, 151.895422], [6.453816, 7.379675, 7.478146, 8.469512, 108.233409], [19.776346, 20.764987, 22.678786, 28.869945, 126.148240], [20.354541, 20.541049, 23.844301, 32.560968, 138.804907], [22.330163, 23.490194, 26.103913, 33.203879, 144.731776], [17.437129, 17.871635, 20.242591, 27.924874, 114.914997], [26.794468, 28.462556, 31.216159, 38.573317, 224.882942], [18.195627, 18.265229, 19.361913, 22.180848, 26.129793], [8.406222, 8.716302, 8.911296, 9.177596, 12.038464]]
### 10
fourier: [[14.440480, 14.483638, 15.321724, 22.230327, 35.950944], [6.719640, 6.763061, 8.083244, 10.685922, 57.175071], [8.446670, 9.301876, 9.938549, 10.606350, 94.427993], [51.659721, 52.077899, 58.144703, 77.755248, 358.050326], [5.583457, 5.808645, 6.057724, 8.290096, 60.160189], [22.446835, 23.224964, 24.849303, 30.985861, 205.544096], [9.244953, 9.544793, 10.673493, 14.714915, 32.986373], [14.481433, 15.472453, 16.054444, 22.550139, 32.662781], [9.789928, 9.860234, 10.608888, 14.113215, 75.451512], [1.263918, 1.279369, 1.366650, 1.568062, 33.788337], [18.299580, 19.239349, 20.593439, 24.809490, 149.058484], [42.562245, 43.612010, 49.996188, 68.475618, 287.540857]]
### 12
fourier: [[3.431928, 3.488283, 3.556197, 5.523125, 43.832967], [25.232009, 26.249679, 28.938928, 39.838420, 166.112729], [22.641268, 23.411923, 26.229579, 35.733699, 177.031271], [6.342331, 6.395177, 7.281786, 9.549289, 31.704887], [9.628417, 9.878330, 11.071940, 14.962647, 74.091051], [8.532394, 8.779383, 9.242612, 12.651978, 87.536406], [9.919310, 9.964519, 11.483793, 15.386807, 48.659918], [25.250818, 25.512452, 28.922803, 39.781193, 176.100589], [25.249033, 26.161942, 28.803099, 39.450974, 180.348421], [41.385821, 42.510858, 47.770146, 65.184374, 281.853074], [17.816897, 18.290133, 20.224147, 27.394866, 127.949016], [18.934845, 19.184729, 22.336485, 30.140731, 122.870703]]
### 14
fourier: [[10.761160, 11.107861, 12.161052, 16.940017, 62.261918], [21.338351, 21.877403, 24.450014, 33.455111, 171.538925], [32.250602, 32.938256, 36.797617, 50.581474, 233.328847], [5.441991, 5.508164, 6.446020, 8.606862, 44.791310], [5.490524, 5.738749, 6.174387, 8.616370, 75.175749], [13.224703, 13.459788, 15.101694, 20.613952, 98.235941], [3.406987, 3.510937, 3.895345, 5.276735, 37.569893], [0.755632, 0.765749, 0.853167, 1.193454, 8.452009], [37.613058, 38.570303, 42.770301, 59.175905, 268.231167], [7.534731, 7.885240, 8.537394, 11.942667, 70.505478], [31.776332, 32.470178, 36.161311, 49.951254, 225.470380], [6.056563, 6.119755, 6.852095, 9.446389, 14.547133]]
### 16
fourier: [[34.640257, 35.365623, 39.429653, 54.301782, 254.866229]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6771437525749207, "train_acc": 0.595, "val_loss": 0.7782493829727173, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6730049550533295, "train_acc": 0.595, "val_loss": 0.7313313484191895, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6362338364124298, "train_acc": 0.525, "val_loss": 0.541795015335083, "val_acc": 0.4}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4818962663412094, "train_acc": 0.525, "val_loss": 0.41267481446266174, "val_acc": 1.0}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4009280800819397, "train_acc": 0.905, "val_loss": 0.3490280210971832, "val_acc": 1.0}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3432936370372772, "train_acc": 0.915, "val_loss": 0.26011037826538086, "val_acc": 1.0}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2715218514204025, "train_acc": 0.915, "val_loss": 0.09967723488807678, "val_acc": 1.0}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.26272033154964447, "train_acc": 0.92, "val_loss": 0.014166312292218208, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.31154023110866547, "train_acc": 0.915, "val_loss": 0.020934753119945526, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.22287766635417938, "train_acc": 0.925, "val_loss": 0.07168729603290558, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2549353539943695, "train_acc": 0.925, "val_loss": 0.1206974983215332, "val_acc": 1.0}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7782493829727173, "final_val_loss": 0.7313313484191895, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.541795015335083, "final_val_loss": 0.1206974983215332, "initial_val_acc": 0.4, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 3}, "improvement": 0.6, "first_improvement_epoch": 1}}
|
9
|
{"target_pattern": "alternating", "degraded_accuracy": 0.54, "improved_accuracy": 0.98, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9638, "learning_rate": 0.06637493719374477, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
fourier: [[35.523192, 38.096837, 39.343768, 40.035334, 124.757078], [21.678465, 21.710749, 24.390821, 27.061818, 183.123039], [20.899158, 22.009507, 22.341515, 24.654168, 135.245421], [26.074663, 26.491786, 26.567059, 28.401230, 60.496421], [24.613924, 24.880635, 25.596188, 25.877141, 27.983667], [28.052751, 28.795836, 29.734215, 31.569587, 35.541853], [36.907917, 38.130558, 49.529301, 51.618660, 365.845015], [26.386162, 26.484673, 27.978863, 31.528880, 160.805809], [31.014888, 31.874750, 31.931312, 37.429097, 167.965473], [23.622708, 23.772871, 24.416814, 33.803785, 36.084830], [25.161343, 26.601500, 28.547516, 31.774499, 100.982437]]
### 2
fourier: [[17.629969, 19.439014, 20.299084, 22.764651, 74.038825], [36.561057, 38.851927, 47.712394, 59.182609, 192.846017], [8.414605, 9.314631, 9.392293, 10.187028, 91.863123], [19.495305, 20.458737, 24.016026, 25.133217, 26.603813], [34.439156, 34.805657, 41.306345, 42.951361, 202.053655], [34.267993, 38.057400, 40.090222, 42.845002, 361.407680], [23.977900, 25.202047, 27.158791, 27.376495, 244.371245], [25.714104, 26.782161, 29.683546, 35.725787, 36.226763], [11.259305, 12.425241, 12.553158, 14.136249, 103.655872], [22.181630, 22.764743, 25.378753, 27.043076, 200.274153], [19.164767, 20.887427, 22.407109, 24.403422, 234.789069]]
### 4
fourier: [[25.018432, 25.679280, 31.545277, 33.421956, 178.771722], [13.481595, 14.373754, 14.407965, 16.261816, 73.083216], [8.593600, 10.068862, 10.419461, 10.904566, 18.410195], [11.550507, 11.788950, 13.765499, 13.770647, 14.413733], [21.497607, 22.489352, 27.490481, 31.208968, 171.594676], [43.498793, 43.578923, 43.909529, 46.841400, 252.887172], [16.844967, 18.736825, 20.891678, 22.164161, 154.984161], [14.344674, 14.732664, 19.787298, 20.403843, 124.424663], [21.870139, 21.983765, 25.996782, 26.464669, 124.810409], [19.965380, 22.617074, 24.361585, 24.395829, 127.784540], [10.446968, 14.059231, 14.837036, 15.742157, 29.469755]]
### 6
fourier: [[47.755976, 52.754488, 61.693555, 67.424026, 357.439743], [45.795023, 48.213634, 48.646431, 56.241896, 234.796407], [3.903677, 4.042482, 4.407668, 6.452192, 35.531374], [47.308407, 50.063050, 52.229453, 59.236048, 246.024896], [13.247956, 14.260249, 16.154612, 17.492311, 112.620654], [17.261960, 19.119103, 20.520551, 21.713243, 127.517350], [42.136012, 44.450499, 47.614661, 52.972517, 239.158781], [11.415989, 13.068915, 13.181960, 14.667307, 97.269382], [8.552634, 10.289860, 11.541403, 12.288147, 112.890336], [14.576283, 14.881689, 16.137695, 19.466743, 20.445881], [63.611110, 65.329391, 66.473633, 74.737562, 375.162220]]
### 8
fourier: [[56.710344, 61.031140, 67.641223, 72.550343, 452.935402], [66.723465, 72.702210, 78.289116, 83.451722, 512.525536], [66.590762, 67.627657, 68.995097, 80.859436, 204.181755], [87.779035, 92.490197, 96.443947, 99.764142, 496.130354], [24.486553, 26.910674, 30.464646, 32.378410, 182.545840], [47.806044, 52.689818, 55.095227, 58.363158, 365.491785], [52.022935, 55.793696, 61.206326, 65.571198, 391.273463], [12.489197, 12.703254, 16.679384, 18.657998, 135.538718], [18.687208, 19.974699, 22.700765, 24.603437, 148.245087], [41.440707, 43.667117, 44.092745, 51.323365, 114.087412], [97.980217, 103.845558, 108.006005, 111.979692, 570.504291]]
### 10
fourier: [[18.253299, 18.306716, 23.447270, 24.837890, 148.629631], [43.826182, 46.957655, 49.348024, 52.160759, 207.756821], [84.318886, 85.844359, 90.603850, 101.502034, 421.041312], [11.303600, 11.489645, 12.084927, 12.798730, 103.405554], [57.837920, 58.267155, 61.316482, 74.238540, 195.247444], [66.105855, 70.389400, 81.112495, 85.274889, 491.747702], [92.978473, 95.791688, 96.336522, 116.416754, 331.884716], [72.979236, 78.577654, 87.998414, 92.712615, 531.064103], [11.876546, 13.823187, 14.314101, 17.147147, 43.903010], [58.903856, 63.492871, 71.088442, 74.834286, 428.217641], [6.609025, 7.221343, 8.986475, 10.624348, 116.403558]]
### 12
fourier: [[59.959586, 60.464016, 68.187920, 74.419209, 82.804865]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[35.523192, 38.096837, 39.343768, 40.035334, 124.757078], [21.678465, 21.710749, 24.390821, 27.061818, 183.123039], [20.899158, 22.009507, 22.341515, 24.654168, 135.245421], [26.074663, 26.491786, 26.567059, 28.401230, 60.496421], [24.613924, 24.880635, 25.596188, 25.877141, 27.983667], [28.052751, 28.795836, 29.734215, 31.569587, 35.541853], [36.907917, 38.130558, 49.529301, 51.618660, 365.845015], [26.386162, 26.484673, 27.978863, 31.528880, 160.805809], [31.014888, 31.874750, 31.931312, 37.429097, 167.965473], [23.622708, 23.772871, 24.416814, 33.803785, 36.084830], [25.161343, 26.601500, 28.547516, 31.774499, 100.982437]]
### 2
fourier: [[17.629969, 19.439014, 20.299084, 22.764651, 74.038825], [36.561057, 38.851927, 47.712394, 59.182609, 192.846017], [8.414605, 9.314631, 9.392293, 10.187028, 91.863123], [19.495305, 20.458737, 24.016026, 25.133217, 26.603813], [34.439156, 34.805657, 41.306345, 42.951361, 202.053655], [34.267993, 38.057400, 40.090222, 42.845002, 361.407680], [23.977900, 25.202047, 27.158791, 27.376495, 244.371245], [25.714104, 26.782161, 29.683546, 35.725787, 36.226763], [11.259305, 12.425241, 12.553158, 14.136249, 103.655872], [22.181630, 22.764743, 25.378753, 27.043076, 200.274153], [19.164767, 20.887427, 22.407109, 24.403422, 234.789069]]
### 4
fourier: [[25.018432, 25.679280, 31.545277, 33.421956, 178.771722], [13.481595, 14.373754, 14.407965, 16.261816, 73.083216], [8.593600, 10.068862, 10.419461, 10.904566, 18.410195], [11.550507, 11.788950, 13.765499, 13.770647, 14.413733], [21.497607, 22.489352, 27.490481, 31.208968, 171.594676], [43.498793, 43.578923, 43.909529, 46.841400, 252.887172], [16.844967, 18.736825, 20.891678, 22.164161, 154.984161], [14.344674, 14.732664, 19.787298, 20.403843, 124.424663], [21.870139, 21.983765, 25.996782, 26.464669, 124.810409], [19.965380, 22.617074, 24.361585, 24.395829, 127.784540], [10.446968, 14.059231, 14.837036, 15.742157, 29.469755]]
### 6
fourier: [[47.755976, 52.754488, 61.693555, 67.424026, 357.439743], [45.795023, 48.213634, 48.646431, 56.241896, 234.796407], [3.903677, 4.042482, 4.407668, 6.452192, 35.531374], [47.308407, 50.063050, 52.229453, 59.236048, 246.024896], [13.247956, 14.260249, 16.154612, 17.492311, 112.620654], [17.261960, 19.119103, 20.520551, 21.713243, 127.517350], [42.136012, 44.450499, 47.614661, 52.972517, 239.158781], [11.415989, 13.068915, 13.181960, 14.667307, 97.269382], [8.552634, 10.289860, 11.541403, 12.288147, 112.890336], [14.576283, 14.881689, 16.137695, 19.466743, 20.445881], [63.611110, 65.329391, 66.473633, 74.737562, 375.162220]]
### 8
fourier: [[56.710344, 61.031140, 67.641223, 72.550343, 452.935402], [66.723465, 72.702210, 78.289116, 83.451722, 512.525536], [66.590762, 67.627657, 68.995097, 80.859436, 204.181755], [87.779035, 92.490197, 96.443947, 99.764142, 496.130354], [24.486553, 26.910674, 30.464646, 32.378410, 182.545840], [47.806044, 52.689818, 55.095227, 58.363158, 365.491785], [52.022935, 55.793696, 61.206326, 65.571198, 391.273463], [12.489197, 12.703254, 16.679384, 18.657998, 135.538718], [18.687208, 19.974699, 22.700765, 24.603437, 148.245087], [41.440707, 43.667117, 44.092745, 51.323365, 114.087412], [97.980217, 103.845558, 108.006005, 111.979692, 570.504291]]
### 10
fourier: [[18.253299, 18.306716, 23.447270, 24.837890, 148.629631], [43.826182, 46.957655, 49.348024, 52.160759, 207.756821], [84.318886, 85.844359, 90.603850, 101.502034, 421.041312], [11.303600, 11.489645, 12.084927, 12.798730, 103.405554], [57.837920, 58.267155, 61.316482, 74.238540, 195.247444], [66.105855, 70.389400, 81.112495, 85.274889, 491.747702], [92.978473, 95.791688, 96.336522, 116.416754, 331.884716], [72.979236, 78.577654, 87.998414, 92.712615, 531.064103], [11.876546, 13.823187, 14.314101, 17.147147, 43.903010], [58.903856, 63.492871, 71.088442, 74.834286, 428.217641], [6.609025, 7.221343, 8.986475, 10.624348, 116.403558]]
### 12
fourier: [[59.959586, 60.464016, 68.187920, 74.419209, 82.804865]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.692218691110611, "train_acc": 0.475, "val_loss": 0.6945614814758301, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6849209070205688, "train_acc": 0.565, "val_loss": 0.6896779537200928, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6835406422615051, "train_acc": 0.565, "val_loss": 0.6814149618148804, "val_acc": 0.54}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6690467596054077, "train_acc": 0.565, "val_loss": 0.6160334348678589, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6695166230201721, "train_acc": 0.49, "val_loss": 0.5866879224777222, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6003198325634003, "train_acc": 0.82, "val_loss": 0.8307436108589172, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5936594009399414, "train_acc": 0.635, "val_loss": 0.3838765621185303, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4578430652618408, "train_acc": 0.835, "val_loss": 0.36277884244918823, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3709542453289032, "train_acc": 0.86, "val_loss": 0.20172767341136932, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.16413331776857376, "train_acc": 0.975, "val_loss": 0.4731796979904175, "val_acc": 0.7}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.24333753064274788, "train_acc": 0.835, "val_loss": 0.0955469161272049, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.06991292908787727, "train_acc": 0.99, "val_loss": 0.12978769838809967, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.07208498194813728, "train_acc": 0.985, "val_loss": 0.15300694108009338, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.09690491110086441, "train_acc": 0.955, "val_loss": 0.16497354209423065, "val_acc": 0.98}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6945614814758301, "final_val_loss": 0.6160334348678589, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5866879224777222, "final_val_loss": 0.16497354209423065, "initial_val_acc": 0.88, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 10}, "improvement": 0.43999999999999995, "first_improvement_epoch": 3}}
|
10
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.46, "improved_accuracy": 0.82, "improvement": 0.35999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8252, "learning_rate": 0.027729101250368093, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[32.658929, 35.765621, 37.430547, 44.469975, 272.405811], [27.861467, 29.129629, 30.567473, 37.121218, 162.840471], [18.130661, 18.659439, 20.707683, 26.432148, 27.458732], [14.796712, 14.956263, 15.788560, 16.138133, 67.612035], [26.846050, 27.283178, 29.151622, 32.395520, 102.051662], [23.210638, 24.608239, 25.889358, 28.390839, 130.318191], [7.044341, 7.264445, 7.540358, 8.320262, 9.933023], [13.950685, 14.355656, 17.113896, 18.003008, 50.320300], [17.380581, 17.512964, 17.779547, 18.202072, 20.694849], [18.365532, 18.519691, 23.238461, 23.718650, 118.220837]]
### 2
fourier: [[12.431345, 12.890502, 13.378618, 14.603478, 50.656421], [14.123409, 14.931080, 15.383884, 15.456339, 34.862059], [15.897310, 16.278933, 16.964409, 17.128524, 113.029681], [14.110934, 14.416414, 16.852382, 19.483553, 124.203563], [19.102996, 19.322648, 21.334297, 21.956058, 158.492467], [13.833237, 14.150656, 14.421450, 15.168785, 26.919738], [8.695692, 8.829796, 9.371315, 9.843166, 9.873201], [8.833620, 9.365791, 11.502517, 12.301910, 108.157920], [15.584867, 16.743834, 19.370351, 21.444842, 50.813338], [12.579981, 13.416844, 13.808431, 14.568633, 88.492713]]
### 4
fourier: [[11.035086, 11.042263, 11.360184, 11.862734, 88.859009], [6.282209, 6.625855, 6.950223, 7.947349, 45.616039], [8.131652, 9.379582, 10.227588, 12.305485, 85.122532], [9.469681, 9.874413, 10.110902, 11.344548, 11.649412], [9.378260, 10.200280, 10.893780, 11.885064, 16.070851], [11.460835, 12.404169, 12.501614, 12.874578, 93.114087], [4.752779, 4.827122, 5.486627, 5.677026, 20.741162], [8.383856, 8.993260, 9.432900, 9.839112, 18.110735], [8.969448, 9.268041, 10.172303, 11.810897, 14.585376], [5.885236, 6.438694, 7.360699, 9.560951, 48.464008]]
### 6
fourier: [[2.886305, 3.175030, 3.699702, 3.878859, 25.167669], [6.021495, 6.425919, 6.832560, 7.031435, 7.045254], [8.788521, 9.001410, 9.492799, 10.034372, 10.499090], [6.430898, 6.996953, 7.079330, 7.415998, 8.416798], [7.475184, 7.582108, 7.667105, 8.360345, 12.506197], [7.889267, 8.069069, 8.111805, 9.553731, 21.257790], [3.397283, 3.437614, 3.573348, 3.777749, 44.472993], [5.845993, 6.328824, 6.418544, 6.419577, 9.456025], [3.341438, 4.138165, 4.261218, 4.325597, 24.484876], [7.667204, 7.800785, 7.984042, 8.064254, 8.573053]]
### 8
fourier: [[5.516598, 6.286020, 6.402940, 6.828460, 7.137165], [9.611627, 10.519688, 10.811759, 10.893186, 55.505139], [4.805634, 5.199473, 5.397039, 5.790707, 25.874252], [8.711076, 9.521780, 9.703190, 9.910156, 43.830420], [8.085030, 8.405815, 9.118259, 9.133901, 25.543084], [3.144116, 3.220324, 3.366474, 3.713580, 25.257832], [9.881229, 10.099556, 10.644449, 11.087666, 35.100093], [6.881050, 7.326496, 7.551049, 7.933448, 10.454920], [0.853304, 0.908714, 0.969120, 1.023276, 15.681555], [1.736398, 1.876724, 1.912747, 2.155463, 34.791010]]
### 10
fourier: [[7.772891, 7.936553, 8.470431, 8.679785, 14.746834], [1.863750, 1.867307, 1.952142, 2.194044, 17.056225], [2.272553, 2.422656, 2.465537, 2.745246, 9.569694], [9.913119, 10.252957, 10.941059, 10.970152, 18.767076], [9.342057, 9.875481, 10.288485, 10.659336, 52.269255], [0.887291, 0.925296, 0.985535, 1.104491, 1.456937], [7.354967, 7.461974, 7.947409, 8.107943, 35.355978], [1.200815, 1.255678, 1.287752, 1.541180, 29.071503], [6.871839, 7.001443, 7.565928, 7.643636, 18.928159], [2.338927, 2.683335, 2.795245, 2.946443, 3.069125]]
### 12
fourier: [[9.201785, 10.181851, 10.526225, 10.996009, 11.573922]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.12.bias": [
0.347905
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}
## Activation Signature
### 0
fourier: [[32.658929, 35.765621, 37.430547, 44.469975, 272.405811], [27.861467, 29.129629, 30.567473, 37.121218, 162.840471], [18.130661, 18.659439, 20.707683, 26.432148, 27.458732], [14.796712, 14.956263, 15.788560, 16.138133, 67.612035], [26.846050, 27.283178, 29.151622, 32.395520, 102.051662], [23.210638, 24.608239, 25.889358, 28.390839, 130.318191], [7.044341, 7.264445, 7.540358, 8.320262, 9.933023], [13.950685, 14.355656, 17.113896, 18.003008, 50.320300], [17.380581, 17.512964, 17.779547, 18.202072, 20.694849], [18.365532, 18.519691, 23.238461, 23.718650, 118.220837]]
### 2
fourier: [[12.431345, 12.890502, 13.378618, 14.603478, 50.656421], [14.123409, 14.931080, 15.383884, 15.456339, 34.862059], [15.897310, 16.278933, 16.964409, 17.128524, 113.029681], [14.110934, 14.416414, 16.852382, 19.483553, 124.203563], [19.102996, 19.322648, 21.334297, 21.956058, 158.492467], [13.833237, 14.150656, 14.421450, 15.168785, 26.919738], [8.695692, 8.829796, 9.371315, 9.843166, 9.873201], [8.833620, 9.365791, 11.502517, 12.301910, 108.157920], [15.584867, 16.743834, 19.370351, 21.444842, 50.813338], [12.579981, 13.416844, 13.808431, 14.568633, 88.492713]]
### 4
fourier: [[11.035086, 11.042263, 11.360184, 11.862734, 88.859009], [6.282209, 6.625855, 6.950223, 7.947349, 45.616039], [8.131652, 9.379582, 10.227588, 12.305485, 85.122532], [9.469681, 9.874413, 10.110902, 11.344548, 11.649412], [9.378260, 10.200280, 10.893780, 11.885064, 16.070851], [11.460835, 12.404169, 12.501614, 12.874578, 93.114087], [4.752779, 4.827122, 5.486627, 5.677026, 20.741162], [8.383856, 8.993260, 9.432900, 9.839112, 18.110735], [8.969448, 9.268041, 10.172303, 11.810897, 14.585376], [5.885236, 6.438694, 7.360699, 9.560951, 48.464008]]
### 6
fourier: [[2.886305, 3.175030, 3.699702, 3.878859, 25.167669], [6.021495, 6.425919, 6.832560, 7.031435, 7.045254], [8.788521, 9.001410, 9.492799, 10.034372, 10.499090], [6.430898, 6.996953, 7.079330, 7.415998, 8.416798], [7.475184, 7.582108, 7.667105, 8.360345, 12.506197], [7.889267, 8.069069, 8.111805, 9.553731, 21.257790], [3.397283, 3.437614, 3.573348, 3.777749, 44.472993], [5.845993, 6.328824, 6.418544, 6.419577, 9.456025], [3.341438, 4.138165, 4.261218, 4.325597, 24.484876], [7.667204, 7.800785, 7.984042, 8.064254, 8.573053]]
### 8
fourier: [[5.516598, 6.286020, 6.402940, 6.828460, 7.137165], [9.611627, 10.519688, 10.811759, 10.893186, 55.505139], [4.805634, 5.199473, 5.397039, 5.790707, 25.874252], [8.711076, 9.521780, 9.703190, 9.910156, 43.830420], [8.085030, 8.405815, 9.118259, 9.133901, 25.543084], [3.144116, 3.220324, 3.366474, 3.713580, 25.257832], [9.881229, 10.099556, 10.644449, 11.087666, 35.100093], [6.881050, 7.326496, 7.551049, 7.933448, 10.454920], [0.853304, 0.908714, 0.969120, 1.023276, 15.681555], [1.736398, 1.876724, 1.912747, 2.155463, 34.791010]]
### 10
fourier: [[7.772891, 7.936553, 8.470431, 8.679785, 14.746834], [1.863750, 1.867307, 1.952142, 2.194044, 17.056225], [2.272553, 2.422656, 2.465537, 2.745246, 9.569694], [9.913119, 10.252957, 10.941059, 10.970152, 18.767076], [9.342057, 9.875481, 10.288485, 10.659336, 52.269255], [0.887291, 0.925296, 0.985535, 1.104491, 1.456937], [7.354967, 7.461974, 7.947409, 8.107943, 35.355978], [1.200815, 1.255678, 1.287752, 1.541180, 29.071503], [6.871839, 7.001443, 7.565928, 7.643636, 18.928159], [2.338927, 2.683335, 2.795245, 2.946443, 3.069125]]
### 12
fourier: [[9.201785, 10.181851, 10.526225, 10.996009, 11.573922]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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"model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
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[[-0.227848, -0.122475, -0.063563, -0.424818, -0.266335, -0.143279, -0.123532, 0.166088, -0.194185, -0.009246]], "network.12.bias": [0.347905]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7086963355541229, "train_acc": 0.405, "val_loss": 0.6954182386398315, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6687397062778473, "train_acc": 0.595, "val_loss": 0.7496790885925293, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6503785848617554, "train_acc": 0.595, "val_loss": 0.6807082891464233, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5758814811706543, "train_acc": 0.595, "val_loss": 0.6634769439697266, "val_acc": 0.46}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.5468153357505798, "train_acc": 0.595, "val_loss": 0.5536954998970032, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6883685141801834, "train_acc": 0.58, "val_loss": 0.5032032132148743, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.49518395960330963, "train_acc": 0.83, "val_loss": 0.5133136510848999, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.585799902677536, "train_acc": 0.7, "val_loss": 0.5540193915367126, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.6025745272636414, "train_acc": 0.68, "val_loss": 0.5492595434188843, "val_acc": 0.78}], "summary": {"total_epochs": 9, "degraded_epochs": 5, "improved_epochs": 4, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6954182386398315, "final_val_loss": 0.5536954998970032, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5032032132148743, "final_val_loss": 0.5492595434188843, "initial_val_acc": 0.8, "final_val_acc": 0.78, "best_val_acc": 0.82, "best_epoch": 6}, "improvement": 0.35999999999999993, "first_improvement_epoch": 4}}
|
11
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1579, "learning_rate": 0.09508480999907651, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[40.809698, 42.726219, 45.561708, 49.687530, 372.695305], [48.136896, 49.279065, 49.892559, 51.004015, 472.907594], [46.930318, 47.886674, 49.309225, 63.752040, 148.001969], [17.803454, 19.534497, 19.811975, 23.259063, 113.818644], [28.539765, 30.366392, 34.733845, 35.278738, 318.355226], [66.078610, 71.839242, 86.535460, 100.689242, 142.413715], [44.952356, 54.733995, 61.896543, 67.756030, 306.274096]]
### 2
fourier: [[11.650847, 13.410739, 15.184196, 17.463922, 130.335754], [22.163213, 24.635067, 25.135470, 27.811935, 220.765185], [14.798451, 15.239767, 17.914811, 20.874754, 133.621711], [15.997718, 16.536520, 18.394040, 18.700422, 210.688454], [35.217394, 40.126274, 40.395588, 41.026656, 46.153981], [35.277612, 44.759331, 48.557981, 53.361962, 331.038471], [21.935340, 22.165524, 23.451249, 27.144442, 116.188202]]
### 4
fourier: [[4.081970, 4.210608, 4.895307, 5.613147, 38.302167], [19.892789, 22.074400, 22.507067, 26.235440, 28.007744], [3.468766, 3.522798, 3.803631, 4.917380, 44.962117], [15.437594, 15.482239, 18.233803, 19.939461, 99.188212], [23.117836, 23.173573, 27.299807, 29.874071, 114.667542], [20.168544, 20.202379, 23.816306, 26.214578, 94.608546], [0.728739, 0.758565, 0.826498, 0.899909, 10.370473]]
### 6
fourier: [[11.803118, 12.571687, 12.868146, 14.565380, 229.220268], [12.096130, 12.982170, 14.182337, 15.836097, 115.988053], [41.870999, 42.867640, 50.784283, 55.447466, 126.389437], [16.627377, 16.772270, 19.624320, 21.556993, 130.873248], [17.236496, 17.296719, 20.321315, 22.280502, 95.993914], [18.394535, 18.743776, 21.699110, 23.896463, 174.895371], [32.866768, 34.068295, 35.363561, 40.426885, 44.059401]]
### 8
fourier: [[11.567901, 12.611623, 15.031844, 17.782906, 96.379764], [38.775678, 41.540690, 49.766612, 56.919762, 65.880286], [22.635139, 23.487202, 28.217506, 31.547124, 93.430736], [20.821100, 22.921856, 24.286499, 25.061938, 161.115107], [17.529017, 17.970721, 21.126703, 22.749208, 118.196333], [14.488023, 15.575468, 17.471399, 18.384977, 153.925969], [13.199282, 14.506195, 15.508248, 16.042325, 204.609838]]
### 10
fourier: [[5.945772, 6.073217, 6.584952, 6.592821, 164.768023], [4.359644, 4.368572, 4.713735, 4.788814, 173.664233], [23.033344, 23.360849, 28.276001, 30.655028, 70.977095], [12.268698, 13.327309, 14.654616, 16.250217, 159.864846], [51.613953, 56.001379, 68.413270, 73.761927, 310.018855], [15.685212, 16.223279, 19.125864, 20.947417, 61.245123], [7.062267, 7.229379, 7.416056, 8.210266, 164.302064]]
### 12
fourier: [[10.055505, 10.843257, 13.246470, 14.546767, 132.717402], [4.048619, 4.365523, 5.025181, 6.325896, 136.759499], [30.648722, 32.271184, 39.814905, 43.140891, 50.954627], [7.997787, 8.470318, 10.412003, 11.641338, 115.033774], [81.217581, 86.360438, 106.115104, 113.678647, 551.059942], [29.908292, 31.857794, 39.184865, 42.304568, 245.495960], [14.898516, 15.996743, 19.589428, 21.249871, 196.434408]]
### 14
fourier: [[21.010904, 22.079380, 27.481895, 30.934555, 279.808433], [7.056017, 7.216012, 8.194139, 8.383272, 74.226396], [72.557606, 76.132542, 93.623490, 99.076959, 394.214129], [17.960055, 18.864846, 23.440518, 26.079162, 223.340685], [101.163871, 106.151562, 130.657277, 138.753148, 710.959024], [24.654896, 25.884559, 32.073975, 35.115824, 251.206005], [41.024472, 43.072237, 53.375460, 58.460764, 419.190159]]
### 16
fourier: [[105.843768, 111.691065, 136.937193, 142.980823, 718.897385]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[40.809698, 42.726219, 45.561708, 49.687530, 372.695305], [48.136896, 49.279065, 49.892559, 51.004015, 472.907594], [46.930318, 47.886674, 49.309225, 63.752040, 148.001969], [17.803454, 19.534497, 19.811975, 23.259063, 113.818644], [28.539765, 30.366392, 34.733845, 35.278738, 318.355226], [66.078610, 71.839242, 86.535460, 100.689242, 142.413715], [44.952356, 54.733995, 61.896543, 67.756030, 306.274096]]
### 2
fourier: [[11.650847, 13.410739, 15.184196, 17.463922, 130.335754], [22.163213, 24.635067, 25.135470, 27.811935, 220.765185], [14.798451, 15.239767, 17.914811, 20.874754, 133.621711], [15.997718, 16.536520, 18.394040, 18.700422, 210.688454], [35.217394, 40.126274, 40.395588, 41.026656, 46.153981], [35.277612, 44.759331, 48.557981, 53.361962, 331.038471], [21.935340, 22.165524, 23.451249, 27.144442, 116.188202]]
### 4
fourier: [[4.081970, 4.210608, 4.895307, 5.613147, 38.302167], [19.892789, 22.074400, 22.507067, 26.235440, 28.007744], [3.468766, 3.522798, 3.803631, 4.917380, 44.962117], [15.437594, 15.482239, 18.233803, 19.939461, 99.188212], [23.117836, 23.173573, 27.299807, 29.874071, 114.667542], [20.168544, 20.202379, 23.816306, 26.214578, 94.608546], [0.728739, 0.758565, 0.826498, 0.899909, 10.370473]]
### 6
fourier: [[11.803118, 12.571687, 12.868146, 14.565380, 229.220268], [12.096130, 12.982170, 14.182337, 15.836097, 115.988053], [41.870999, 42.867640, 50.784283, 55.447466, 126.389437], [16.627377, 16.772270, 19.624320, 21.556993, 130.873248], [17.236496, 17.296719, 20.321315, 22.280502, 95.993914], [18.394535, 18.743776, 21.699110, 23.896463, 174.895371], [32.866768, 34.068295, 35.363561, 40.426885, 44.059401]]
### 8
fourier: [[11.567901, 12.611623, 15.031844, 17.782906, 96.379764], [38.775678, 41.540690, 49.766612, 56.919762, 65.880286], [22.635139, 23.487202, 28.217506, 31.547124, 93.430736], [20.821100, 22.921856, 24.286499, 25.061938, 161.115107], [17.529017, 17.970721, 21.126703, 22.749208, 118.196333], [14.488023, 15.575468, 17.471399, 18.384977, 153.925969], [13.199282, 14.506195, 15.508248, 16.042325, 204.609838]]
### 10
fourier: [[5.945772, 6.073217, 6.584952, 6.592821, 164.768023], [4.359644, 4.368572, 4.713735, 4.788814, 173.664233], [23.033344, 23.360849, 28.276001, 30.655028, 70.977095], [12.268698, 13.327309, 14.654616, 16.250217, 159.864846], [51.613953, 56.001379, 68.413270, 73.761927, 310.018855], [15.685212, 16.223279, 19.125864, 20.947417, 61.245123], [7.062267, 7.229379, 7.416056, 8.210266, 164.302064]]
### 12
fourier: [[10.055505, 10.843257, 13.246470, 14.546767, 132.717402], [4.048619, 4.365523, 5.025181, 6.325896, 136.759499], [30.648722, 32.271184, 39.814905, 43.140891, 50.954627], [7.997787, 8.470318, 10.412003, 11.641338, 115.033774], [81.217581, 86.360438, 106.115104, 113.678647, 551.059942], [29.908292, 31.857794, 39.184865, 42.304568, 245.495960], [14.898516, 15.996743, 19.589428, 21.249871, 196.434408]]
### 14
fourier: [[21.010904, 22.079380, 27.481895, 30.934555, 279.808433], [7.056017, 7.216012, 8.194139, 8.383272, 74.226396], [72.557606, 76.132542, 93.623490, 99.076959, 394.214129], [17.960055, 18.864846, 23.440518, 26.079162, 223.340685], [101.163871, 106.151562, 130.657277, 138.753148, 710.959024], [24.654896, 25.884559, 32.073975, 35.115824, 251.206005], [41.024472, 43.072237, 53.375460, 58.460764, 419.190159]]
### 16
fourier: [[105.843768, 111.691065, 136.937193, 142.980823, 718.897385]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6787695288658142, "train_acc": 0.575, "val_loss": 0.7216529250144958, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6831860244274139, "train_acc": 0.575, "val_loss": 0.6997309327125549, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6858793795108795, "train_acc": 0.575, "val_loss": 0.6982730627059937, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6817154884338379, "train_acc": 0.575, "val_loss": 0.6940159797668457, "val_acc": 0.5}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6761383414268494, "train_acc": 0.575, "val_loss": 0.6811872720718384, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.7022534906864166, "train_acc": 0.5, "val_loss": 0.6883533596992493, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6869838535785675, "train_acc": 0.62, "val_loss": 0.6738366484642029, "val_acc": 0.5}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6678328216075897, "train_acc": 0.5, "val_loss": 0.6361812353134155, "val_acc": 0.5}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.6346810162067413, "train_acc": 0.5, "val_loss": 0.5443746447563171, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.560408353805542, "train_acc": 0.85, "val_loss": 0.4544657766819, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.4862307608127594, "train_acc": 0.855, "val_loss": 0.3421008288860321, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.35501614212989807, "train_acc": 0.885, "val_loss": 0.3250924050807953, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3148121237754822, "train_acc": 0.89, "val_loss": 0.31359726190567017, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.27324390411376953, "train_acc": 0.895, "val_loss": 0.36294448375701904, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.2800933048129082, "train_acc": 0.89, "val_loss": 0.2555010914802551, "val_acc": 0.9}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7216529250144958, "final_val_loss": 0.6811872720718384, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.6883533596992493, "final_val_loss": 0.2555010914802551, "initial_val_acc": 0.5, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 13}, "improvement": 0.42000000000000004, "first_improvement_epoch": 4}}
|
12
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.86, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2113, "learning_rate": 0.0493680412770662, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[20.441954, 24.375532, 25.757577, 30.270458, 80.238903], [16.940575, 18.370681, 18.713969, 19.862798, 65.394261], [22.496528, 22.952725, 26.188255, 28.616318, 153.008502], [16.543551, 16.722399, 17.685150, 19.014660, 114.392436], [27.291275, 28.142716, 34.584481, 36.427425, 42.816201], [14.126060, 14.426558, 15.512233, 16.957378, 21.661792], [29.797875, 30.183417, 36.541056, 39.359342, 113.559115], [25.877132, 25.962627, 26.171199, 30.284990, 88.818128], [25.152541, 25.317097, 26.300049, 26.900053, 31.486135], [21.950239, 24.395627, 24.700855, 26.104308, 28.958262]]
### 2
fourier: [[37.499454, 38.929898, 55.670773, 59.807297, 179.556130], [38.342286, 41.145635, 52.512982, 54.055083, 169.907613], [25.878625, 28.444581, 35.781726, 36.340501, 144.031906], [22.868647, 25.276169, 29.848831, 34.842867, 44.381504], [22.230429, 22.771898, 23.637773, 24.455011, 29.863131], [20.110120, 27.009234, 29.323395, 30.704462, 188.696956], [43.592193, 45.321379, 58.095641, 67.880857, 101.771258], [29.387003, 30.634317, 41.492121, 43.447541, 102.980065], [40.415824, 42.649983, 54.823305, 58.545921, 155.068134], [15.255652, 15.395861, 16.882265, 21.922841, 193.820784]]
### 4
fourier: [[41.507050, 41.536232, 57.878826, 66.344084, 146.577314], [27.741553, 27.779624, 38.754327, 42.981325, 45.492220], [39.005702, 43.291652, 58.105517, 64.717756, 231.233205], [87.910246, 89.005705, 128.152892, 142.661685, 393.826390], [31.557997, 33.203633, 46.657244, 50.960452, 220.489913], [18.551129, 18.741747, 27.675564, 28.511985, 85.319873], [44.468492, 45.321601, 64.219514, 74.280520, 164.495174], [53.553492, 53.835989, 75.531661, 80.931416, 219.803059], [20.203120, 20.362999, 29.559731, 31.585606, 74.913454], [46.731630, 47.769852, 66.813109, 74.366020, 177.997873]]
### 6
fourier: [[41.552962, 42.153326, 59.867904, 68.396040, 175.630786], [80.612519, 82.030755, 117.017381, 131.413264, 364.139860], [42.542303, 42.939850, 61.312382, 66.709354, 148.603231], [108.520783, 110.436658, 157.913226, 179.697695, 477.989640], [30.516779, 30.657269, 44.807211, 51.656956, 173.447924], [53.876130, 54.709310, 78.806790, 90.778838, 237.304746], [53.417767, 54.601754, 77.726734, 90.597367, 215.270841], [76.480517, 77.904695, 111.469972, 129.105092, 315.857756], [44.859783, 45.567317, 65.192783, 75.474063, 233.451968], [79.291208, 80.846162, 115.344387, 133.805140, 357.738810]]
### 8
fourier: [[4.250328, 4.321862, 4.378158, 6.304757, 7.760600], [124.621302, 126.821133, 181.801773, 210.725599, 551.233439], [99.561816, 101.340556, 145.406436, 167.931269, 448.405238], [62.428622, 63.819258, 91.847200, 107.146341, 281.074032], [166.172724, 169.176274, 242.732026, 281.674166, 723.368480], [169.068223, 172.541934, 247.261867, 286.146033, 767.996226], [32.455637, 32.785452, 46.901131, 53.846554, 177.351835], [115.734222, 117.558946, 168.560682, 194.878826, 529.808567], [24.369641, 24.854642, 35.687285, 41.232859, 136.132550], [139.711146, 142.374667, 204.355221, 236.685668, 635.854251]]
### 10
fourier: [[21.153512, 21.554469, 31.012280, 35.766009, 116.637491], [172.765371, 175.713051, 251.965572, 292.133527, 789.719957], [93.714081, 95.149542, 136.704312, 159.330716, 446.123118], [96.578293, 98.380003, 141.498963, 164.939376, 384.099069], [46.458208, 47.306027, 67.872600, 78.987547, 224.925911], [152.193918, 155.225193, 222.854308, 258.419221, 693.320735], [7.512612, 7.964722, 8.090622, 11.540884, 12.662204], [139.640332, 142.191327, 204.151895, 236.376824, 633.667829], [28.787723, 29.390103, 42.183808, 49.297601, 116.074956], [338.059564, 344.275438, 494.181498, 573.300741, 1535.239403]]
### 12
fourier: [[52.912065, 53.974887, 77.356062, 90.184714, 272.909430], [41.373208, 42.131611, 60.720019, 69.502706, 192.774913], [49.649294, 50.537149, 72.466137, 84.428020, 228.798512], [79.087581, 80.477550, 115.289958, 134.637500, 369.925480], [142.130507, 144.748545, 207.682481, 241.209874, 635.745107], [205.935459, 209.743716, 301.442145, 348.126567, 924.894369], [36.373089, 36.973333, 52.634491, 62.785081, 189.636395], [154.472359, 157.380703, 226.293141, 260.944524, 695.751168], [131.648127, 134.112287, 192.297280, 223.849187, 594.218786], [82.519879, 84.115911, 121.095671, 139.018665, 363.329376]]
### 14
fourier: [[78.926001, 80.403643, 115.665023, 133.636344, 327.630412]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[20.441954, 24.375532, 25.757577, 30.270458, 80.238903], [16.940575, 18.370681, 18.713969, 19.862798, 65.394261], [22.496528, 22.952725, 26.188255, 28.616318, 153.008502], [16.543551, 16.722399, 17.685150, 19.014660, 114.392436], [27.291275, 28.142716, 34.584481, 36.427425, 42.816201], [14.126060, 14.426558, 15.512233, 16.957378, 21.661792], [29.797875, 30.183417, 36.541056, 39.359342, 113.559115], [25.877132, 25.962627, 26.171199, 30.284990, 88.818128], [25.152541, 25.317097, 26.300049, 26.900053, 31.486135], [21.950239, 24.395627, 24.700855, 26.104308, 28.958262]]
### 2
fourier: [[37.499454, 38.929898, 55.670773, 59.807297, 179.556130], [38.342286, 41.145635, 52.512982, 54.055083, 169.907613], [25.878625, 28.444581, 35.781726, 36.340501, 144.031906], [22.868647, 25.276169, 29.848831, 34.842867, 44.381504], [22.230429, 22.771898, 23.637773, 24.455011, 29.863131], [20.110120, 27.009234, 29.323395, 30.704462, 188.696956], [43.592193, 45.321379, 58.095641, 67.880857, 101.771258], [29.387003, 30.634317, 41.492121, 43.447541, 102.980065], [40.415824, 42.649983, 54.823305, 58.545921, 155.068134], [15.255652, 15.395861, 16.882265, 21.922841, 193.820784]]
### 4
fourier: [[41.507050, 41.536232, 57.878826, 66.344084, 146.577314], [27.741553, 27.779624, 38.754327, 42.981325, 45.492220], [39.005702, 43.291652, 58.105517, 64.717756, 231.233205], [87.910246, 89.005705, 128.152892, 142.661685, 393.826390], [31.557997, 33.203633, 46.657244, 50.960452, 220.489913], [18.551129, 18.741747, 27.675564, 28.511985, 85.319873], [44.468492, 45.321601, 64.219514, 74.280520, 164.495174], [53.553492, 53.835989, 75.531661, 80.931416, 219.803059], [20.203120, 20.362999, 29.559731, 31.585606, 74.913454], [46.731630, 47.769852, 66.813109, 74.366020, 177.997873]]
### 6
fourier: [[41.552962, 42.153326, 59.867904, 68.396040, 175.630786], [80.612519, 82.030755, 117.017381, 131.413264, 364.139860], [42.542303, 42.939850, 61.312382, 66.709354, 148.603231], [108.520783, 110.436658, 157.913226, 179.697695, 477.989640], [30.516779, 30.657269, 44.807211, 51.656956, 173.447924], [53.876130, 54.709310, 78.806790, 90.778838, 237.304746], [53.417767, 54.601754, 77.726734, 90.597367, 215.270841], [76.480517, 77.904695, 111.469972, 129.105092, 315.857756], [44.859783, 45.567317, 65.192783, 75.474063, 233.451968], [79.291208, 80.846162, 115.344387, 133.805140, 357.738810]]
### 8
fourier: [[4.250328, 4.321862, 4.378158, 6.304757, 7.760600], [124.621302, 126.821133, 181.801773, 210.725599, 551.233439], [99.561816, 101.340556, 145.406436, 167.931269, 448.405238], [62.428622, 63.819258, 91.847200, 107.146341, 281.074032], [166.172724, 169.176274, 242.732026, 281.674166, 723.368480], [169.068223, 172.541934, 247.261867, 286.146033, 767.996226], [32.455637, 32.785452, 46.901131, 53.846554, 177.351835], [115.734222, 117.558946, 168.560682, 194.878826, 529.808567], [24.369641, 24.854642, 35.687285, 41.232859, 136.132550], [139.711146, 142.374667, 204.355221, 236.685668, 635.854251]]
### 10
fourier: [[21.153512, 21.554469, 31.012280, 35.766009, 116.637491], [172.765371, 175.713051, 251.965572, 292.133527, 789.719957], [93.714081, 95.149542, 136.704312, 159.330716, 446.123118], [96.578293, 98.380003, 141.498963, 164.939376, 384.099069], [46.458208, 47.306027, 67.872600, 78.987547, 224.925911], [152.193918, 155.225193, 222.854308, 258.419221, 693.320735], [7.512612, 7.964722, 8.090622, 11.540884, 12.662204], [139.640332, 142.191327, 204.151895, 236.376824, 633.667829], [28.787723, 29.390103, 42.183808, 49.297601, 116.074956], [338.059564, 344.275438, 494.181498, 573.300741, 1535.239403]]
### 12
fourier: [[52.912065, 53.974887, 77.356062, 90.184714, 272.909430], [41.373208, 42.131611, 60.720019, 69.502706, 192.774913], [49.649294, 50.537149, 72.466137, 84.428020, 228.798512], [79.087581, 80.477550, 115.289958, 134.637500, 369.925480], [142.130507, 144.748545, 207.682481, 241.209874, 635.745107], [205.935459, 209.743716, 301.442145, 348.126567, 924.894369], [36.373089, 36.973333, 52.634491, 62.785081, 189.636395], [154.472359, 157.380703, 226.293141, 260.944524, 695.751168], [131.648127, 134.112287, 192.297280, 223.849187, 594.218786], [82.519879, 84.115911, 121.095671, 139.018665, 363.329376]]
### 14
fourier: [[78.926001, 80.403643, 115.665023, 133.636344, 327.630412]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.03364, -0.135729, -0.111767, 0.255038, 0.707191], [0.065551, -0.253882, 0.328179, 0.397805, -0.457505], [0.381033, -0.011603, 0.154849, 0.02793, 0.388529], [0.273584, -0.237704, -0.130613, 0.347718, 0.317486], [-0.099455, -0.030002, 0.212483, -0.346402, 0.883126], [0.191307, -0.338188, 0.09521, 0.215143, 0.209849], [0.521161, -0.120828, -0.15739, 0.059184, 0.730644], [0.321578, -0.228266, 0.14547, 0.629999, -0.744893], [-0.41369, -0.474169, -0.147486, 0.396115, 0.34911], [-0.150742, 0.499048, -0.088397, -0.041019, -0.580837]], "network.0.bias": [-0.004915, 0.133313, 0.384521, 0.499324, -0.136033, -0.300189, 0.134113, 0.266468, 0.444503, 0.085496], "network.2.weight": [[0.395673, -0.068267, 0.225571, 0.4988, 0.309024, 0.021192, 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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7046488523483276, "train_acc": 0.425, "val_loss": 0.6838977336883545, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.644077867269516, "train_acc": 0.575, "val_loss": 0.6079974174499512, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6562744975090027, "train_acc": 0.495, "val_loss": 0.6379332542419434, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.585141658782959, "train_acc": 0.83, "val_loss": 0.48008614778518677, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.45127370953559875, "train_acc": 0.825, "val_loss": 0.39157965779304504, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3745287209749222, "train_acc": 0.885, "val_loss": 0.3827483355998993, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3665217161178589, "train_acc": 0.875, "val_loss": 0.35874640941619873, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3395462930202484, "train_acc": 0.88, "val_loss": 0.34260809421539307, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3220048248767853, "train_acc": 0.885, "val_loss": 0.33259475231170654, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3042231649160385, "train_acc": 0.885, "val_loss": 0.33388563990592957, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.30478595197200775, "train_acc": 0.87, "val_loss": 0.3512156307697296, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2996324896812439, "train_acc": 0.885, "val_loss": 0.3594615161418915, "val_acc": 0.86}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6838977336883545, "final_val_loss": 0.6079974174499512, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6379332542419434, "final_val_loss": 0.3594615161418915, "initial_val_acc": 0.82, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 4}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
13
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.48, "improved_accuracy": 0.86, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2091, "learning_rate": 0.08009846360828153, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[20.192983, 21.723092, 22.067649, 23.472329, 108.038989], [18.441194, 19.961465, 21.581949, 22.551711, 148.119003], [43.541806, 45.963412, 46.642563, 46.872068, 350.063767], [29.266679, 36.477869, 37.654847, 40.667557, 248.338568], [41.643924, 44.946551, 47.735522, 52.852880, 57.607342], [18.243860, 19.686552, 20.228823, 24.349248, 24.519447], [37.264763, 42.073697, 45.132164, 50.438376, 424.230534], [48.224752, 49.911812, 50.419556, 53.810921, 54.952310], [35.046749, 36.832388, 40.282045, 40.650919, 53.327980], [55.105232, 55.698618, 69.446965, 70.340646, 551.495143], [28.671480, 29.014464, 33.262907, 33.963081, 135.538555]]
### 2
fourier: [[42.372004, 43.633619, 44.243942, 52.392206, 55.653481], [10.686029, 12.933976, 15.397358, 17.308393, 71.687125], [22.404276, 23.284968, 23.772488, 26.015982, 47.178481], [38.804347, 39.670828, 40.817383, 46.441708, 50.836044], [36.488930, 37.094141, 37.753749, 39.773001, 164.087290], [26.354801, 27.330102, 27.503799, 28.697057, 206.273270], [19.929909, 21.522683, 23.411677, 24.988532, 25.806221], [38.605560, 41.973550, 43.673230, 44.471808, 56.104965], [37.224543, 38.623974, 40.393516, 48.582740, 51.098489], [9.678413, 9.928333, 10.218376, 15.991263, 86.445892], [11.769781, 12.611065, 13.096925, 13.266858, 17.652616]]
### 4
fourier: [[42.895600, 44.194724, 45.561915, 48.931250, 120.152215], [20.972025, 23.188099, 23.291788, 25.199620, 73.139116], [11.623448, 12.611681, 14.496812, 18.835553, 109.459388], [34.112179, 34.214225, 35.568358, 38.704616, 86.108095], [9.124113, 9.578275, 10.424484, 11.044028, 114.300722], [7.294057, 7.818059, 8.406549, 10.039135, 44.105795], [29.601923, 29.604235, 30.292300, 34.071891, 88.238004], [17.767653, 19.435439, 19.528061, 20.092491, 73.410535], [30.183925, 33.951981, 34.673776, 35.577746, 163.314851], [16.921474, 17.110462, 17.406698, 20.245559, 118.659753], [29.672008, 30.238486, 32.370234, 34.321907, 167.431657]]
### 6
fourier: [[6.703503, 7.620469, 7.650981, 8.697650, 46.404038], [14.376032, 14.643510, 14.866336, 16.216978, 44.448777], [22.484957, 22.739397, 23.307918, 24.913111, 82.474508], [10.861820, 11.547956, 11.813509, 12.240270, 15.562336], [19.177356, 19.991858, 20.079951, 22.043173, 23.926114], [17.996630, 19.524522, 19.782478, 20.881192, 72.257880], [18.893937, 18.939797, 20.271363, 21.476136, 88.280830], [3.599385, 3.912541, 3.960655, 4.886224, 9.698092], [8.357973, 8.466117, 8.805683, 9.833347, 11.378917], [17.648481, 18.924770, 19.637313, 20.359218, 65.879564], [16.906663, 17.001194, 17.440028, 21.888878, 99.674418]]
### 8
fourier: [[1.068180, 1.075114, 1.252030, 1.286652, 24.151484], [10.747264, 10.866718, 11.278422, 12.004496, 12.097979], [14.990203, 15.297265, 15.750064, 17.827087, 42.065569], [15.977038, 16.315585, 16.730197, 18.507810, 75.783697], [6.744441, 7.226905, 7.796201, 7.840177, 7.868340], [4.280704, 4.287627, 4.931140, 5.053448, 35.043624], [0.975428, 0.980584, 1.238518, 1.853720, 54.778388], [3.604545, 3.693406, 4.377527, 4.461362, 5.444253], [14.201355, 14.646974, 14.723572, 16.687572, 54.014518], [8.680320, 9.629023, 10.766490, 12.244111, 27.682769], [9.709016, 9.799549, 10.783364, 12.453552, 41.091632]]
### 10
fourier: [[0.978448, 1.098065, 1.128150, 1.273217, 8.759009], [1.378519, 1.418952, 1.441002, 1.592932, 5.237074], [1.921415, 2.186368, 2.428699, 2.498076, 40.395612], [6.513093, 7.016431, 8.085140, 8.749731, 11.727708], [4.676416, 4.742154, 5.531211, 6.141334, 42.377400], [3.590165, 4.069818, 4.520168, 5.355586, 19.328745], [0.868522, 1.121457, 1.163077, 1.263167, 36.047747], [7.383438, 7.742992, 9.289394, 9.874128, 12.563812], [2.827452, 3.082740, 3.580277, 3.798816, 27.174959], [3.676828, 3.899033, 4.099781, 4.709525, 33.971773], [6.669196, 7.041869, 8.054521, 9.299114, 17.671125]]
### 12
fourier: [[1.767948, 1.974652, 2.209011, 2.295541, 40.898810], [3.345797, 3.711202, 3.748923, 4.160547, 44.928263], [3.283981, 3.728489, 4.215857, 4.573844, 43.665436], [1.452147, 1.525312, 1.887194, 1.920626, 25.243422], [4.901565, 4.927025, 5.381465, 6.204299, 53.445099], [0.873721, 0.996709, 1.042499, 1.135328, 26.267333], [11.836910, 12.045546, 13.425347, 15.712573, 32.147092], [1.675786, 1.899789, 1.983935, 2.249213, 22.704439], [1.865673, 1.898195, 1.920958, 2.410850, 26.365897], [1.725851, 2.059471, 2.209095, 2.572482, 104.926480], [2.372450, 2.698207, 3.263978, 3.347545, 52.918609]]
### 14
fourier: [[4.302715, 4.745510, 4.979346, 5.068412, 82.039799], [2.852188, 3.073627, 3.267379, 3.634138, 43.586081], [3.934688, 4.404426, 4.482154, 4.644272, 56.661416], [2.527495, 2.780158, 3.251657, 3.330049, 30.377208], [3.925418, 4.403769, 4.644033, 5.290517, 37.899087], [1.757405, 1.901088, 2.293458, 2.337081, 82.089162], [4.636904, 5.233017, 5.318552, 6.058870, 18.956893], [4.077389, 5.095250, 5.313229, 5.801858, 77.452256], [2.566955, 2.873761, 2.975159, 3.261972, 35.684767], [7.061646, 8.345177, 8.400345, 9.616679, 35.349919], [7.060171, 8.118220, 8.442312, 8.762332, 29.485593]]
### 16
fourier: [[6.476162, 6.798455, 7.107157, 7.853258, 67.143667]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[20.192983, 21.723092, 22.067649, 23.472329, 108.038989], [18.441194, 19.961465, 21.581949, 22.551711, 148.119003], [43.541806, 45.963412, 46.642563, 46.872068, 350.063767], [29.266679, 36.477869, 37.654847, 40.667557, 248.338568], [41.643924, 44.946551, 47.735522, 52.852880, 57.607342], [18.243860, 19.686552, 20.228823, 24.349248, 24.519447], [37.264763, 42.073697, 45.132164, 50.438376, 424.230534], [48.224752, 49.911812, 50.419556, 53.810921, 54.952310], [35.046749, 36.832388, 40.282045, 40.650919, 53.327980], [55.105232, 55.698618, 69.446965, 70.340646, 551.495143], [28.671480, 29.014464, 33.262907, 33.963081, 135.538555]]
### 2
fourier: [[42.372004, 43.633619, 44.243942, 52.392206, 55.653481], [10.686029, 12.933976, 15.397358, 17.308393, 71.687125], [22.404276, 23.284968, 23.772488, 26.015982, 47.178481], [38.804347, 39.670828, 40.817383, 46.441708, 50.836044], [36.488930, 37.094141, 37.753749, 39.773001, 164.087290], [26.354801, 27.330102, 27.503799, 28.697057, 206.273270], [19.929909, 21.522683, 23.411677, 24.988532, 25.806221], [38.605560, 41.973550, 43.673230, 44.471808, 56.104965], [37.224543, 38.623974, 40.393516, 48.582740, 51.098489], [9.678413, 9.928333, 10.218376, 15.991263, 86.445892], [11.769781, 12.611065, 13.096925, 13.266858, 17.652616]]
### 4
fourier: [[42.895600, 44.194724, 45.561915, 48.931250, 120.152215], [20.972025, 23.188099, 23.291788, 25.199620, 73.139116], [11.623448, 12.611681, 14.496812, 18.835553, 109.459388], [34.112179, 34.214225, 35.568358, 38.704616, 86.108095], [9.124113, 9.578275, 10.424484, 11.044028, 114.300722], [7.294057, 7.818059, 8.406549, 10.039135, 44.105795], [29.601923, 29.604235, 30.292300, 34.071891, 88.238004], [17.767653, 19.435439, 19.528061, 20.092491, 73.410535], [30.183925, 33.951981, 34.673776, 35.577746, 163.314851], [16.921474, 17.110462, 17.406698, 20.245559, 118.659753], [29.672008, 30.238486, 32.370234, 34.321907, 167.431657]]
### 6
fourier: [[6.703503, 7.620469, 7.650981, 8.697650, 46.404038], [14.376032, 14.643510, 14.866336, 16.216978, 44.448777], [22.484957, 22.739397, 23.307918, 24.913111, 82.474508], [10.861820, 11.547956, 11.813509, 12.240270, 15.562336], [19.177356, 19.991858, 20.079951, 22.043173, 23.926114], [17.996630, 19.524522, 19.782478, 20.881192, 72.257880], [18.893937, 18.939797, 20.271363, 21.476136, 88.280830], [3.599385, 3.912541, 3.960655, 4.886224, 9.698092], [8.357973, 8.466117, 8.805683, 9.833347, 11.378917], [17.648481, 18.924770, 19.637313, 20.359218, 65.879564], [16.906663, 17.001194, 17.440028, 21.888878, 99.674418]]
### 8
fourier: [[1.068180, 1.075114, 1.252030, 1.286652, 24.151484], [10.747264, 10.866718, 11.278422, 12.004496, 12.097979], [14.990203, 15.297265, 15.750064, 17.827087, 42.065569], [15.977038, 16.315585, 16.730197, 18.507810, 75.783697], [6.744441, 7.226905, 7.796201, 7.840177, 7.868340], [4.280704, 4.287627, 4.931140, 5.053448, 35.043624], [0.975428, 0.980584, 1.238518, 1.853720, 54.778388], [3.604545, 3.693406, 4.377527, 4.461362, 5.444253], [14.201355, 14.646974, 14.723572, 16.687572, 54.014518], [8.680320, 9.629023, 10.766490, 12.244111, 27.682769], [9.709016, 9.799549, 10.783364, 12.453552, 41.091632]]
### 10
fourier: [[0.978448, 1.098065, 1.128150, 1.273217, 8.759009], [1.378519, 1.418952, 1.441002, 1.592932, 5.237074], [1.921415, 2.186368, 2.428699, 2.498076, 40.395612], [6.513093, 7.016431, 8.085140, 8.749731, 11.727708], [4.676416, 4.742154, 5.531211, 6.141334, 42.377400], [3.590165, 4.069818, 4.520168, 5.355586, 19.328745], [0.868522, 1.121457, 1.163077, 1.263167, 36.047747], [7.383438, 7.742992, 9.289394, 9.874128, 12.563812], [2.827452, 3.082740, 3.580277, 3.798816, 27.174959], [3.676828, 3.899033, 4.099781, 4.709525, 33.971773], [6.669196, 7.041869, 8.054521, 9.299114, 17.671125]]
### 12
fourier: [[1.767948, 1.974652, 2.209011, 2.295541, 40.898810], [3.345797, 3.711202, 3.748923, 4.160547, 44.928263], [3.283981, 3.728489, 4.215857, 4.573844, 43.665436], [1.452147, 1.525312, 1.887194, 1.920626, 25.243422], [4.901565, 4.927025, 5.381465, 6.204299, 53.445099], [0.873721, 0.996709, 1.042499, 1.135328, 26.267333], [11.836910, 12.045546, 13.425347, 15.712573, 32.147092], [1.675786, 1.899789, 1.983935, 2.249213, 22.704439], [1.865673, 1.898195, 1.920958, 2.410850, 26.365897], [1.725851, 2.059471, 2.209095, 2.572482, 104.926480], [2.372450, 2.698207, 3.263978, 3.347545, 52.918609]]
### 14
fourier: [[4.302715, 4.745510, 4.979346, 5.068412, 82.039799], [2.852188, 3.073627, 3.267379, 3.634138, 43.586081], [3.934688, 4.404426, 4.482154, 4.644272, 56.661416], [2.527495, 2.780158, 3.251657, 3.330049, 30.377208], [3.925418, 4.403769, 4.644033, 5.290517, 37.899087], [1.757405, 1.901088, 2.293458, 2.337081, 82.089162], [4.636904, 5.233017, 5.318552, 6.058870, 18.956893], [4.077389, 5.095250, 5.313229, 5.801858, 77.452256], [2.566955, 2.873761, 2.975159, 3.261972, 35.684767], [7.061646, 8.345177, 8.400345, 9.616679, 35.349919], [7.060171, 8.118220, 8.442312, 8.762332, 29.485593]]
### 16
fourier: [[6.476162, 6.798455, 7.107157, 7.853258, 67.143667]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6806205213069916, "train_acc": 0.52, "val_loss": 0.7524492740631104, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6818276643753052, "train_acc": 0.58, "val_loss": 0.7093642950057983, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.8034555912017822, "train_acc": 0.505, "val_loss": 0.6774826645851135, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6841931343078613, "train_acc": 0.465, "val_loss": 0.6608730554580688, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.7248640954494476, "train_acc": 0.495, "val_loss": 0.6570796966552734, "val_acc": 0.52}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6820186972618103, "train_acc": 0.44, "val_loss": 0.6916816830635071, "val_acc": 0.52}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6883546113967896, "train_acc": 0.635, "val_loss": 0.6847125291824341, "val_acc": 0.64}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.678004115819931, "train_acc": 0.755, "val_loss": 0.6569135785102844, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.6177113950252533, "train_acc": 0.765, "val_loss": 0.6070916056632996, "val_acc": 0.7}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.5691575109958649, "train_acc": 0.74, "val_loss": 0.6088197231292725, "val_acc": 0.64}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.5072952210903168, "train_acc": 0.79, "val_loss": 0.5374981164932251, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.5175487399101257, "train_acc": 0.775, "val_loss": 0.4856972098350525, "val_acc": 0.72}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7524492740631104, "final_val_loss": 0.7093642950057983, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.6774826645851135, "final_val_loss": 0.4856972098350525, "initial_val_acc": 0.48, "final_val_acc": 0.72, "best_val_acc": 0.86, "best_epoch": 10}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
14
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.38, "improved_accuracy": 0.92, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1822, "learning_rate": 0.04873785800456769, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[29.643522, 34.075004, 36.140641, 37.870955, 202.635766], [41.019434, 41.245171, 41.603077, 43.396979, 270.198189], [34.893696, 36.346098, 37.224489, 39.324038, 131.677074], [20.686319, 21.372588, 22.050004, 24.404400, 41.988036], [29.881764, 30.377423, 31.069612, 32.910206, 140.587258], [15.332679, 15.764278, 20.008915, 21.302335, 22.376654], [40.208006, 46.053473, 47.232614, 48.741194, 243.624491], [21.256777, 23.398822, 26.996688, 32.105587, 63.087455], [16.425249, 17.680637, 17.955091, 21.677632, 42.290166], [8.040386, 9.011254, 9.127231, 11.105140, 53.994366]]
### 2
fourier: [[11.130650, 13.002877, 13.067091, 14.470337, 108.060123], [9.585239, 11.603592, 14.132227, 15.691778, 140.704554], [44.018898, 44.281674, 45.588748, 49.130289, 264.299785], [55.476503, 56.550934, 56.592336, 62.290523, 335.503491], [50.243438, 51.533151, 57.977143, 59.887559, 277.448928], [50.009458, 50.571477, 56.522403, 58.997617, 189.490847], [9.360744, 9.534644, 10.914372, 12.558799, 121.923313], [19.068169, 19.810509, 19.874099, 26.615026, 28.766221], [49.046597, 51.025117, 52.581170, 53.352600, 300.173328], [49.042224, 49.980140, 55.453633, 57.267077, 229.895224]]
### 4
fourier: [[29.792842, 30.836051, 30.953710, 34.141055, 203.040652], [36.198350, 36.750424, 37.773646, 41.416677, 209.145831], [105.937220, 108.335520, 111.436819, 121.696059, 621.972871], [13.144740, 13.188252, 13.666546, 14.140978, 111.056912], [48.404481, 48.968502, 53.174199, 56.150528, 243.242282], [4.308729, 4.449056, 4.463022, 5.061388, 18.806539], [11.375179, 11.497162, 11.940804, 12.130840, 104.550880], [84.298957, 85.642246, 87.557533, 96.487916, 475.199068], [35.887082, 36.611172, 39.301025, 41.560047, 194.074796], [27.904948, 28.378805, 30.921956, 34.035588, 208.021088]]
### 6
fourier: [[31.490274, 31.574884, 33.651440, 35.805404, 162.763799], [23.497424, 23.895834, 26.065004, 28.145314, 163.527470], [55.291778, 55.719954, 58.312827, 62.992896, 292.016882], [87.042130, 87.115753, 92.399509, 98.835730, 511.987909], [9.472674, 10.098813, 10.690361, 11.362497, 80.616711], [79.051305, 80.506572, 82.677304, 90.516796, 483.197532], [73.669879, 75.368514, 76.955422, 85.436356, 448.362637], [64.837241, 65.300568, 69.791649, 73.853044, 384.237913], [11.409541, 12.518686, 13.380415, 14.418340, 58.019759], [52.237238, 52.891100, 57.044816, 59.677218, 315.804923]]
### 8
fourier: [[10.899394, 11.238476, 11.265644, 12.544360, 79.349973], [90.539689, 92.456634, 94.629462, 103.573759, 539.264251], [97.479693, 99.675041, 101.635661, 111.619491, 565.574198], [133.216462, 137.008375, 138.326591, 152.903024, 787.100716], [90.619861, 92.994718, 94.235304, 103.899709, 531.626663], [47.053754, 48.405828, 48.796037, 54.030451, 284.691083], [8.033072, 8.225823, 8.429568, 9.301511, 68.745199], [50.452473, 51.962599, 52.206429, 57.936066, 322.204517], [9.726421, 10.123754, 10.894352, 11.709045, 66.857289], [138.039357, 141.887194, 143.436935, 158.495614, 804.727620]]
### 10
fourier: [[18.381871, 18.918808, 19.074898, 21.171863, 128.935915], [118.518886, 122.129991, 122.916859, 136.112547, 692.264241], [98.197746, 101.092980, 101.934045, 112.722913, 585.047470], [226.882941, 233.916926, 235.173067, 260.600056, 1320.534318], [23.091439, 23.710449, 24.020586, 26.488500, 146.220717], [41.940062, 43.086345, 43.634495, 48.118238, 263.117153], [148.029594, 152.512797, 153.560497, 169.963413, 854.205139], [81.672998, 84.200183, 84.701534, 93.798141, 487.695162], [203.504487, 209.733499, 211.012634, 233.676802, 1198.192867], [83.840132, 86.393215, 86.942720, 96.294143, 544.689570]]
### 12
fourier: [[189.291818, 195.568156, 195.915091, 217.539829, 1067.238075]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[29.643522, 34.075004, 36.140641, 37.870955, 202.635766], [41.019434, 41.245171, 41.603077, 43.396979, 270.198189], [34.893696, 36.346098, 37.224489, 39.324038, 131.677074], [20.686319, 21.372588, 22.050004, 24.404400, 41.988036], [29.881764, 30.377423, 31.069612, 32.910206, 140.587258], [15.332679, 15.764278, 20.008915, 21.302335, 22.376654], [40.208006, 46.053473, 47.232614, 48.741194, 243.624491], [21.256777, 23.398822, 26.996688, 32.105587, 63.087455], [16.425249, 17.680637, 17.955091, 21.677632, 42.290166], [8.040386, 9.011254, 9.127231, 11.105140, 53.994366]]
### 2
fourier: [[11.130650, 13.002877, 13.067091, 14.470337, 108.060123], [9.585239, 11.603592, 14.132227, 15.691778, 140.704554], [44.018898, 44.281674, 45.588748, 49.130289, 264.299785], [55.476503, 56.550934, 56.592336, 62.290523, 335.503491], [50.243438, 51.533151, 57.977143, 59.887559, 277.448928], [50.009458, 50.571477, 56.522403, 58.997617, 189.490847], [9.360744, 9.534644, 10.914372, 12.558799, 121.923313], [19.068169, 19.810509, 19.874099, 26.615026, 28.766221], [49.046597, 51.025117, 52.581170, 53.352600, 300.173328], [49.042224, 49.980140, 55.453633, 57.267077, 229.895224]]
### 4
fourier: [[29.792842, 30.836051, 30.953710, 34.141055, 203.040652], [36.198350, 36.750424, 37.773646, 41.416677, 209.145831], [105.937220, 108.335520, 111.436819, 121.696059, 621.972871], [13.144740, 13.188252, 13.666546, 14.140978, 111.056912], [48.404481, 48.968502, 53.174199, 56.150528, 243.242282], [4.308729, 4.449056, 4.463022, 5.061388, 18.806539], [11.375179, 11.497162, 11.940804, 12.130840, 104.550880], [84.298957, 85.642246, 87.557533, 96.487916, 475.199068], [35.887082, 36.611172, 39.301025, 41.560047, 194.074796], [27.904948, 28.378805, 30.921956, 34.035588, 208.021088]]
### 6
fourier: [[31.490274, 31.574884, 33.651440, 35.805404, 162.763799], [23.497424, 23.895834, 26.065004, 28.145314, 163.527470], [55.291778, 55.719954, 58.312827, 62.992896, 292.016882], [87.042130, 87.115753, 92.399509, 98.835730, 511.987909], [9.472674, 10.098813, 10.690361, 11.362497, 80.616711], [79.051305, 80.506572, 82.677304, 90.516796, 483.197532], [73.669879, 75.368514, 76.955422, 85.436356, 448.362637], [64.837241, 65.300568, 69.791649, 73.853044, 384.237913], [11.409541, 12.518686, 13.380415, 14.418340, 58.019759], [52.237238, 52.891100, 57.044816, 59.677218, 315.804923]]
### 8
fourier: [[10.899394, 11.238476, 11.265644, 12.544360, 79.349973], [90.539689, 92.456634, 94.629462, 103.573759, 539.264251], [97.479693, 99.675041, 101.635661, 111.619491, 565.574198], [133.216462, 137.008375, 138.326591, 152.903024, 787.100716], [90.619861, 92.994718, 94.235304, 103.899709, 531.626663], [47.053754, 48.405828, 48.796037, 54.030451, 284.691083], [8.033072, 8.225823, 8.429568, 9.301511, 68.745199], [50.452473, 51.962599, 52.206429, 57.936066, 322.204517], [9.726421, 10.123754, 10.894352, 11.709045, 66.857289], [138.039357, 141.887194, 143.436935, 158.495614, 804.727620]]
### 10
fourier: [[18.381871, 18.918808, 19.074898, 21.171863, 128.935915], [118.518886, 122.129991, 122.916859, 136.112547, 692.264241], [98.197746, 101.092980, 101.934045, 112.722913, 585.047470], [226.882941, 233.916926, 235.173067, 260.600056, 1320.534318], [23.091439, 23.710449, 24.020586, 26.488500, 146.220717], [41.940062, 43.086345, 43.634495, 48.118238, 263.117153], [148.029594, 152.512797, 153.560497, 169.963413, 854.205139], [81.672998, 84.200183, 84.701534, 93.798141, 487.695162], [203.504487, 209.733499, 211.012634, 233.676802, 1198.192867], [83.840132, 86.393215, 86.942720, 96.294143, 544.689570]]
### 12
fourier: [[189.291818, 195.568156, 195.915091, 217.539829, 1067.238075]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.383568, 0.010303, -0.487041, -0.079641, -0.458047], [0.72128, 0.609114, 0.386164, -0.01574, -0.042704], [0.89928, 0.307452, 0.000432, 0.189664, -0.499595], [-0.41038, -0.250344, 0.110963, 0.492334, 0.240513], [0.717798, 0.317248, -0.07608, 0.136561, -0.463703], [0.144413, -0.350092, 0.16444, 0.338877, -0.554053], [0.828446, 0.635039, 0.365093, -0.057006, -0.447815], [-0.655854, 0.299357, -0.069881, 0.191403, 0.200164], [-0.19669, -0.065147, 0.385528, -0.034458, 0.33959], [0.225173, -0.147895, -0.003856, 0.218855, -0.097399]], "network.0.bias": [-0.039867, 0.274434, -0.007728, -0.150794, 0.5287, 0.001329, 0.430716, 0.460302, -0.316886, 0.248077], "network.2.weight": [[-0.271947, -0.221696, -0.277252, 0.092488, 0.166846, -0.168871, 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[[0.044279, -0.123929, 0.144195, -0.303373, -0.030195, 0.092361, -0.366339, -0.005483, -0.252687, -0.062171]], "network.12.bias": [0.427787]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6933788359165192, "train_acc": 0.475, "val_loss": 0.7511608600616455, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6081846058368683, "train_acc": 0.595, "val_loss": 0.6104863882064819, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.508812889456749, "train_acc": 0.53, "val_loss": 0.5503140091896057, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5051237642765045, "train_acc": 0.775, "val_loss": 0.5464774966239929, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4935973733663559, "train_acc": 0.76, "val_loss": 0.4600540101528168, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.43562448024749756, "train_acc": 0.81, "val_loss": 0.39722225069999695, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.40263472497463226, "train_acc": 0.855, "val_loss": 0.39358702301979065, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.38918986916542053, "train_acc": 0.845, "val_loss": 0.3918018639087677, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3694833517074585, "train_acc": 0.845, "val_loss": 0.3693952262401581, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3697322607040405, "train_acc": 0.85, "val_loss": 0.3478107750415802, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.33399179577827454, "train_acc": 0.855, "val_loss": 0.3422596752643585, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3223065286874771, "train_acc": 0.865, "val_loss": 0.3413394093513489, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7511608600616455, "final_val_loss": 0.6104863882064819, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.5503140091896057, "final_val_loss": 0.3413394093513489, "initial_val_acc": 0.86, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 5}, "improvement": 0.54, "first_improvement_epoch": 1}}
|
15
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.58, "improved_accuracy": 0.76, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 10, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6426, "learning_rate": 0.014838623431565763, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[18.259929, 19.161501, 19.944126, 22.504629, 33.900944], [22.023239, 22.106431, 22.991559, 23.704372, 165.956250], [17.290452, 18.153438, 19.926208, 20.324339, 117.036939], [18.009336, 18.160075, 18.501817, 26.715568, 60.457011], [17.503438, 17.743429, 20.205846, 21.125883, 118.944794], [17.967833, 18.532043, 19.416756, 21.618146, 21.658490], [15.558303, 16.053277, 17.567746, 18.261895, 76.119960], [14.754051, 15.000661, 15.685705, 16.752660, 17.947171], [21.999520, 27.366410, 28.774413, 32.150802, 116.891909], [29.122057, 30.522804, 34.436278, 35.283905, 127.235596]]
### 2
fourier: [[25.425833, 26.060829, 29.888071, 38.086205, 112.224073], [10.499288, 10.942978, 13.074954, 15.325579, 113.032210], [19.876913, 21.682974, 28.168405, 30.185990, 67.624071], [9.769698, 12.424336, 13.179499, 13.257437, 44.641911], [19.139705, 24.036592, 24.432907, 27.768244, 33.355066], [14.862811, 15.316828, 15.997760, 17.545577, 146.933804], [15.037989, 16.469693, 18.870721, 20.379741, 76.312129], [8.304241, 9.229748, 9.240866, 10.517291, 73.633389], [7.417598, 7.479904, 7.531173, 7.715682, 80.846054], [19.555927, 19.931917, 23.417330, 23.476550, 151.143441]]
### 4
fourier: [[8.447393, 8.953522, 9.787504, 12.142488, 16.505033], [3.958904, 4.182735, 4.994626, 5.638059, 66.182470], [7.207557, 8.911095, 9.544259, 9.879489, 30.617645], [16.713246, 19.208253, 19.897234, 24.630691, 62.098802], [16.633772, 20.791549, 21.043609, 24.882506, 67.789855], [7.521418, 10.048672, 10.124153, 10.555615, 31.047574], [9.824218, 10.096494, 11.143339, 13.824097, 40.613287], [1.848128, 1.869676, 2.086035, 2.154770, 18.824560], [18.955456, 20.632865, 22.200128, 28.011796, 66.231400], [4.839868, 5.023919, 5.672908, 5.696170, 15.891777]]
### 6
fourier: [[5.725382, 6.218080, 7.828323, 7.927905, 9.436010], [24.147411, 24.941186, 25.665021, 34.870215, 121.171075], [10.943219, 11.851122, 12.510585, 16.083059, 20.842816], [4.271534, 5.228752, 5.391885, 5.506379, 5.912402], [14.398908, 15.142852, 16.568527, 20.930141, 52.053312], [17.696142, 18.271489, 18.601333, 25.510094, 80.978538], [11.280289, 11.517605, 13.414168, 13.750989, 17.256185], [7.820423, 8.028925, 8.929661, 11.807253, 54.376152], [1.273428, 1.414246, 1.673182, 1.834652, 10.491550], [6.510529, 6.755590, 7.723816, 9.242564, 24.668363]]
### 8
fourier: [[8.370181, 8.710274, 9.006301, 9.824175, 12.851881], [12.884658, 13.710515, 14.267853, 18.772904, 27.877483], [22.471566, 22.533914, 23.364197, 31.996251, 70.821301], [19.659524, 19.828771, 20.910323, 28.681302, 72.410925], [9.679638, 9.961899, 10.131767, 13.595394, 15.554948], [16.414630, 17.040597, 17.607668, 23.780376, 27.996808], [8.614232, 9.070615, 9.212345, 12.023249, 31.225582], [7.673183, 8.301658, 8.448761, 10.332968, 15.511774], [5.410273, 5.704613, 5.822759, 7.703310, 21.430330], [10.327530, 11.323530, 11.729453, 16.276340, 126.146472]]
### 10
fourier: [[18.469567, 18.670912, 18.988234, 19.802262, 27.466331], [0.606968, 0.652850, 0.659857, 0.682067, 20.140032], [22.070456, 22.665045, 23.517041, 33.028125, 52.075058], [15.763664, 15.799060, 16.338062, 16.955994, 24.014282], [1.612700, 1.668226, 1.677034, 2.395059, 47.497072], [12.313255, 12.785841, 12.788812, 12.899565, 18.182196], [12.411051, 12.642883, 12.759374, 13.171798, 18.382450], [20.966983, 21.321300, 21.597328, 22.908449, 31.716140], [18.449880, 18.839030, 19.579538, 26.859034, 27.363284], [1.529255, 1.722668, 1.795009, 2.269571, 54.505388]]
### 12
fourier: [[17.569382, 18.764566, 18.816607, 19.150301, 26.995453], [9.525511, 10.129853, 10.208897, 10.449535, 13.710066], [17.811618, 19.102308, 19.218795, 19.655845, 27.640877], [14.422180, 15.214151, 15.264040, 15.481803, 20.868120], [5.567689, 6.181476, 6.546567, 6.837492, 60.837287], [14.780129, 15.686167, 15.764434, 15.952885, 22.507061], [14.390053, 14.943123, 15.403760, 15.574870, 22.465393], [25.216437, 25.234029, 25.755786, 36.257325, 40.141554], [17.695234, 19.327781, 19.611276, 25.461002, 39.876494], [21.574359, 22.821206, 23.163954, 31.153269, 43.709772]]
### 14
fourier: [[13.201533, 13.299282, 13.710249, 14.614730, 20.970623], [13.670164, 15.034454, 15.227763, 19.735426, 51.863348], [28.343255, 30.061145, 30.546342, 30.805795, 43.979528], [9.999325, 12.211124, 12.873929, 13.685204, 52.938787], [18.088486, 18.117303, 18.402905, 24.585626, 25.927928], [21.072231, 22.405225, 23.018773, 23.389545, 32.367956], [22.199540, 22.892355, 23.519492, 23.932906, 34.354898], [8.544918, 10.360368, 10.667154, 12.239150, 60.111068], [27.031358, 28.797360, 29.233430, 38.972017, 68.926691], [14.454449, 15.284137, 15.457549, 21.095160, 39.777466]]
### 16
fourier: [[24.274458, 29.841840, 30.685220, 35.591943, 115.518117]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[18.259929, 19.161501, 19.944126, 22.504629, 33.900944], [22.023239, 22.106431, 22.991559, 23.704372, 165.956250], [17.290452, 18.153438, 19.926208, 20.324339, 117.036939], [18.009336, 18.160075, 18.501817, 26.715568, 60.457011], [17.503438, 17.743429, 20.205846, 21.125883, 118.944794], [17.967833, 18.532043, 19.416756, 21.618146, 21.658490], [15.558303, 16.053277, 17.567746, 18.261895, 76.119960], [14.754051, 15.000661, 15.685705, 16.752660, 17.947171], [21.999520, 27.366410, 28.774413, 32.150802, 116.891909], [29.122057, 30.522804, 34.436278, 35.283905, 127.235596]]
### 2
fourier: [[25.425833, 26.060829, 29.888071, 38.086205, 112.224073], [10.499288, 10.942978, 13.074954, 15.325579, 113.032210], [19.876913, 21.682974, 28.168405, 30.185990, 67.624071], [9.769698, 12.424336, 13.179499, 13.257437, 44.641911], [19.139705, 24.036592, 24.432907, 27.768244, 33.355066], [14.862811, 15.316828, 15.997760, 17.545577, 146.933804], [15.037989, 16.469693, 18.870721, 20.379741, 76.312129], [8.304241, 9.229748, 9.240866, 10.517291, 73.633389], [7.417598, 7.479904, 7.531173, 7.715682, 80.846054], [19.555927, 19.931917, 23.417330, 23.476550, 151.143441]]
### 4
fourier: [[8.447393, 8.953522, 9.787504, 12.142488, 16.505033], [3.958904, 4.182735, 4.994626, 5.638059, 66.182470], [7.207557, 8.911095, 9.544259, 9.879489, 30.617645], [16.713246, 19.208253, 19.897234, 24.630691, 62.098802], [16.633772, 20.791549, 21.043609, 24.882506, 67.789855], [7.521418, 10.048672, 10.124153, 10.555615, 31.047574], [9.824218, 10.096494, 11.143339, 13.824097, 40.613287], [1.848128, 1.869676, 2.086035, 2.154770, 18.824560], [18.955456, 20.632865, 22.200128, 28.011796, 66.231400], [4.839868, 5.023919, 5.672908, 5.696170, 15.891777]]
### 6
fourier: [[5.725382, 6.218080, 7.828323, 7.927905, 9.436010], [24.147411, 24.941186, 25.665021, 34.870215, 121.171075], [10.943219, 11.851122, 12.510585, 16.083059, 20.842816], [4.271534, 5.228752, 5.391885, 5.506379, 5.912402], [14.398908, 15.142852, 16.568527, 20.930141, 52.053312], [17.696142, 18.271489, 18.601333, 25.510094, 80.978538], [11.280289, 11.517605, 13.414168, 13.750989, 17.256185], [7.820423, 8.028925, 8.929661, 11.807253, 54.376152], [1.273428, 1.414246, 1.673182, 1.834652, 10.491550], [6.510529, 6.755590, 7.723816, 9.242564, 24.668363]]
### 8
fourier: [[8.370181, 8.710274, 9.006301, 9.824175, 12.851881], [12.884658, 13.710515, 14.267853, 18.772904, 27.877483], [22.471566, 22.533914, 23.364197, 31.996251, 70.821301], [19.659524, 19.828771, 20.910323, 28.681302, 72.410925], [9.679638, 9.961899, 10.131767, 13.595394, 15.554948], [16.414630, 17.040597, 17.607668, 23.780376, 27.996808], [8.614232, 9.070615, 9.212345, 12.023249, 31.225582], [7.673183, 8.301658, 8.448761, 10.332968, 15.511774], [5.410273, 5.704613, 5.822759, 7.703310, 21.430330], [10.327530, 11.323530, 11.729453, 16.276340, 126.146472]]
### 10
fourier: [[18.469567, 18.670912, 18.988234, 19.802262, 27.466331], [0.606968, 0.652850, 0.659857, 0.682067, 20.140032], [22.070456, 22.665045, 23.517041, 33.028125, 52.075058], [15.763664, 15.799060, 16.338062, 16.955994, 24.014282], [1.612700, 1.668226, 1.677034, 2.395059, 47.497072], [12.313255, 12.785841, 12.788812, 12.899565, 18.182196], [12.411051, 12.642883, 12.759374, 13.171798, 18.382450], [20.966983, 21.321300, 21.597328, 22.908449, 31.716140], [18.449880, 18.839030, 19.579538, 26.859034, 27.363284], [1.529255, 1.722668, 1.795009, 2.269571, 54.505388]]
### 12
fourier: [[17.569382, 18.764566, 18.816607, 19.150301, 26.995453], [9.525511, 10.129853, 10.208897, 10.449535, 13.710066], [17.811618, 19.102308, 19.218795, 19.655845, 27.640877], [14.422180, 15.214151, 15.264040, 15.481803, 20.868120], [5.567689, 6.181476, 6.546567, 6.837492, 60.837287], [14.780129, 15.686167, 15.764434, 15.952885, 22.507061], [14.390053, 14.943123, 15.403760, 15.574870, 22.465393], [25.216437, 25.234029, 25.755786, 36.257325, 40.141554], [17.695234, 19.327781, 19.611276, 25.461002, 39.876494], [21.574359, 22.821206, 23.163954, 31.153269, 43.709772]]
### 14
fourier: [[13.201533, 13.299282, 13.710249, 14.614730, 20.970623], [13.670164, 15.034454, 15.227763, 19.735426, 51.863348], [28.343255, 30.061145, 30.546342, 30.805795, 43.979528], [9.999325, 12.211124, 12.873929, 13.685204, 52.938787], [18.088486, 18.117303, 18.402905, 24.585626, 25.927928], [21.072231, 22.405225, 23.018773, 23.389545, 32.367956], [22.199540, 22.892355, 23.519492, 23.932906, 34.354898], [8.544918, 10.360368, 10.667154, 12.239150, 60.111068], [27.031358, 28.797360, 29.233430, 38.972017, 68.926691], [14.454449, 15.284137, 15.457549, 21.095160, 39.777466]]
### 16
fourier: [[24.274458, 29.841840, 30.685220, 35.591943, 115.518117]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.707793265581131, "train_acc": 0.435, "val_loss": 0.7011919617652893, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6995054483413696, "train_acc": 0.435, "val_loss": 0.6927651762962341, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6918542981147766, "train_acc": 0.445, "val_loss": 0.6836778521537781, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6797372400760651, "train_acc": 0.565, "val_loss": 0.6652562618255615, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6654139757156372, "train_acc": 0.57, "val_loss": 0.6231620907783508, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5864019393920898, "train_acc": 0.75, "val_loss": 0.6209284067153931, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5475187599658966, "train_acc": 0.785, "val_loss": 0.5576907396316528, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5100903362035751, "train_acc": 0.79, "val_loss": 0.5101092457771301, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.48129475116729736, "train_acc": 0.805, "val_loss": 0.49742522835731506, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.43815432488918304, "train_acc": 0.825, "val_loss": 0.5111335515975952, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.4334443658590317, "train_acc": 0.805, "val_loss": 0.5088459253311157, "val_acc": 0.74}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.42113929986953735, "train_acc": 0.81, "val_loss": 0.4990738034248352, "val_acc": 0.74}], "summary": {"total_epochs": 12, "degraded_epochs": 4, "improved_epochs": 8, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7011919617652893, "final_val_loss": 0.6652562618255615, "initial_val_acc": 0.44, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.6231620907783508, "final_val_loss": 0.4990738034248352, "initial_val_acc": 0.74, "final_val_acc": 0.74, "best_val_acc": 0.76, "best_epoch": 8}, "improvement": 0.18000000000000005, "first_improvement_epoch": 3}}
|
16
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.56, "improved_accuracy": 0.9, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4346, "learning_rate": 0.054312033149829644, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[24.362497, 24.908473, 27.123256, 28.940185, 113.540599], [10.574574, 10.716353, 11.767358, 14.051586, 15.901540], [21.015515, 21.515674, 23.332073, 25.590219, 114.633471], [21.621115, 23.004252, 24.549296, 25.963437, 183.658552], [16.065007, 17.159703, 18.313101, 18.764299, 20.129708], [15.310438, 16.727145, 20.419562, 20.441922, 86.908287], [29.827865, 30.991064, 36.553168, 37.658710, 229.753886], [34.301248, 37.481109, 37.947950, 43.718570, 228.759530]]
### 2
fourier: [[40.524972, 40.543974, 43.869015, 45.712585, 264.902331], [41.650686, 42.849196, 44.468642, 49.159130, 282.991307], [5.146459, 5.275070, 5.292966, 5.462701, 5.572144], [34.042406, 34.289648, 36.539016, 38.737106, 199.939170], [7.041568, 7.115343, 8.485678, 8.919269, 17.768670], [7.719579, 8.574821, 9.276020, 10.687987, 61.331772], [6.215511, 6.264539, 6.948015, 7.355892, 17.264245], [8.734908, 8.893144, 9.234617, 9.425121, 10.284809]]
### 4
fourier: [[47.489955, 49.853305, 51.160391, 54.243648, 301.396991], [25.533738, 26.057088, 26.334186, 29.857719, 180.946175], [1.713651, 1.744533, 1.976622, 1.977496, 13.592607], [47.465459, 48.116491, 51.275838, 52.774978, 304.132328], [3.243609, 3.662885, 3.686200, 3.922572, 19.280618], [40.105207, 40.485615, 43.169356, 45.399773, 211.488550], [45.923836, 48.466840, 51.640161, 52.040064, 267.836195], [4.162469, 4.417275, 5.195942, 5.434881, 6.824826]]
### 6
fourier: [[63.523858, 67.061031, 71.376088, 72.803599, 383.738061], [37.469768, 39.971270, 42.013735, 43.236386, 239.962952], [63.606799, 67.158796, 71.504779, 72.534443, 379.031660], [19.205290, 20.734656, 21.445565, 22.312625, 148.561326], [7.115384, 7.757512, 8.185590, 8.257045, 29.697260], [23.452349, 24.048960, 25.929635, 26.871335, 165.550490], [1.029708, 1.030492, 1.094042, 1.485844, 12.801168], [53.568674, 56.117179, 59.320498, 61.527376, 330.499566]]
### 8
fourier: [[15.951570, 17.045072, 18.091566, 18.639316, 123.014104], [12.611883, 13.730420, 14.669709, 14.779327, 66.285861], [8.148028, 8.612277, 8.930354, 9.456350, 75.816633], [81.871394, 88.406788, 93.949559, 95.384183, 521.602121], [62.090133, 67.055148, 71.328862, 72.412891, 393.500692], [22.998486, 24.470539, 25.752598, 26.622148, 124.909954], [17.556180, 19.027146, 20.231733, 20.656376, 123.048387], [23.747120, 25.730223, 27.424231, 27.886807, 161.309221]]
### 10
fourier: [[11.666928, 12.584015, 13.180785, 13.481257, 74.977324], [38.504271, 41.980281, 44.841585, 45.332777, 251.936854], [1.184621, 1.295161, 1.491065, 1.507658, 2.021390], [49.247138, 53.835843, 57.614195, 58.291815, 320.828583], [83.976906, 91.434523, 97.621222, 98.704071, 559.465321], [9.354971, 10.364905, 11.056480, 11.232166, 76.854207], [7.087418, 7.271568, 7.427804, 7.536220, 58.126669], [49.833657, 54.541509, 58.270572, 58.980583, 338.570380]]
### 12
fourier: [[2.732184, 2.822194, 3.074592, 3.148322, 3.177932], [35.160104, 38.896511, 42.070501, 42.370054, 284.799584], [61.316717, 67.186980, 71.976470, 72.855456, 403.541545], [33.828444, 37.274557, 39.991334, 40.302532, 242.886077], [11.317090, 12.454354, 13.402117, 13.664186, 106.819105], [21.856623, 24.021652, 25.601356, 25.845739, 145.523656], [64.278358, 70.813437, 76.089262, 76.831925, 433.666019], [53.949330, 59.856018, 64.572387, 64.860349, 377.490447]]
### 14
fourier: [[25.075222, 27.355957, 29.183570, 29.562531, 176.525436], [42.036468, 46.538631, 50.100643, 50.639105, 279.548885], [41.495316, 45.769524, 49.070528, 49.720932, 290.413913], [4.588496, 4.845676, 5.187842, 5.503477, 5.606925], [0.631334, 0.704082, 0.718401, 0.927627, 14.078569], [28.858623, 32.253656, 34.951160, 34.991926, 181.999310], [69.482433, 77.143831, 83.303203, 83.645065, 467.170649], [73.650943, 82.014934, 88.586846, 89.305963, 490.174160]]
### 16
fourier: [[58.412014, 65.404558, 70.904764, 71.168842, 375.000956]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[24.362497, 24.908473, 27.123256, 28.940185, 113.540599], [10.574574, 10.716353, 11.767358, 14.051586, 15.901540], [21.015515, 21.515674, 23.332073, 25.590219, 114.633471], [21.621115, 23.004252, 24.549296, 25.963437, 183.658552], [16.065007, 17.159703, 18.313101, 18.764299, 20.129708], [15.310438, 16.727145, 20.419562, 20.441922, 86.908287], [29.827865, 30.991064, 36.553168, 37.658710, 229.753886], [34.301248, 37.481109, 37.947950, 43.718570, 228.759530]]
### 2
fourier: [[40.524972, 40.543974, 43.869015, 45.712585, 264.902331], [41.650686, 42.849196, 44.468642, 49.159130, 282.991307], [5.146459, 5.275070, 5.292966, 5.462701, 5.572144], [34.042406, 34.289648, 36.539016, 38.737106, 199.939170], [7.041568, 7.115343, 8.485678, 8.919269, 17.768670], [7.719579, 8.574821, 9.276020, 10.687987, 61.331772], [6.215511, 6.264539, 6.948015, 7.355892, 17.264245], [8.734908, 8.893144, 9.234617, 9.425121, 10.284809]]
### 4
fourier: [[47.489955, 49.853305, 51.160391, 54.243648, 301.396991], [25.533738, 26.057088, 26.334186, 29.857719, 180.946175], [1.713651, 1.744533, 1.976622, 1.977496, 13.592607], [47.465459, 48.116491, 51.275838, 52.774978, 304.132328], [3.243609, 3.662885, 3.686200, 3.922572, 19.280618], [40.105207, 40.485615, 43.169356, 45.399773, 211.488550], [45.923836, 48.466840, 51.640161, 52.040064, 267.836195], [4.162469, 4.417275, 5.195942, 5.434881, 6.824826]]
### 6
fourier: [[63.523858, 67.061031, 71.376088, 72.803599, 383.738061], [37.469768, 39.971270, 42.013735, 43.236386, 239.962952], [63.606799, 67.158796, 71.504779, 72.534443, 379.031660], [19.205290, 20.734656, 21.445565, 22.312625, 148.561326], [7.115384, 7.757512, 8.185590, 8.257045, 29.697260], [23.452349, 24.048960, 25.929635, 26.871335, 165.550490], [1.029708, 1.030492, 1.094042, 1.485844, 12.801168], [53.568674, 56.117179, 59.320498, 61.527376, 330.499566]]
### 8
fourier: [[15.951570, 17.045072, 18.091566, 18.639316, 123.014104], [12.611883, 13.730420, 14.669709, 14.779327, 66.285861], [8.148028, 8.612277, 8.930354, 9.456350, 75.816633], [81.871394, 88.406788, 93.949559, 95.384183, 521.602121], [62.090133, 67.055148, 71.328862, 72.412891, 393.500692], [22.998486, 24.470539, 25.752598, 26.622148, 124.909954], [17.556180, 19.027146, 20.231733, 20.656376, 123.048387], [23.747120, 25.730223, 27.424231, 27.886807, 161.309221]]
### 10
fourier: [[11.666928, 12.584015, 13.180785, 13.481257, 74.977324], [38.504271, 41.980281, 44.841585, 45.332777, 251.936854], [1.184621, 1.295161, 1.491065, 1.507658, 2.021390], [49.247138, 53.835843, 57.614195, 58.291815, 320.828583], [83.976906, 91.434523, 97.621222, 98.704071, 559.465321], [9.354971, 10.364905, 11.056480, 11.232166, 76.854207], [7.087418, 7.271568, 7.427804, 7.536220, 58.126669], [49.833657, 54.541509, 58.270572, 58.980583, 338.570380]]
### 12
fourier: [[2.732184, 2.822194, 3.074592, 3.148322, 3.177932], [35.160104, 38.896511, 42.070501, 42.370054, 284.799584], [61.316717, 67.186980, 71.976470, 72.855456, 403.541545], [33.828444, 37.274557, 39.991334, 40.302532, 242.886077], [11.317090, 12.454354, 13.402117, 13.664186, 106.819105], [21.856623, 24.021652, 25.601356, 25.845739, 145.523656], [64.278358, 70.813437, 76.089262, 76.831925, 433.666019], [53.949330, 59.856018, 64.572387, 64.860349, 377.490447]]
### 14
fourier: [[25.075222, 27.355957, 29.183570, 29.562531, 176.525436], [42.036468, 46.538631, 50.100643, 50.639105, 279.548885], [41.495316, 45.769524, 49.070528, 49.720932, 290.413913], [4.588496, 4.845676, 5.187842, 5.503477, 5.606925], [0.631334, 0.704082, 0.718401, 0.927627, 14.078569], [28.858623, 32.253656, 34.951160, 34.991926, 181.999310], [69.482433, 77.143831, 83.303203, 83.645065, 467.170649], [73.650943, 82.014934, 88.586846, 89.305963, 490.174160]]
### 16
fourier: [[58.412014, 65.404558, 70.904764, 71.168842, 375.000956]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.713561, 0.133686, -0.076026, 0.279832, -0.209274], [-0.044924, 0.081088, -0.176853, 0.055925, 0.386626], [-0.073304, 0.638101, 0.299149, -0.229488, -0.082055], [0.035106, -0.135561, -0.183602, -0.305321, -0.48575], [-0.38742, 0.028457, 0.085462, 0.148345, 0.410497], [0.269134, 0.149132, 0.2375, -0.223818, -0.010831], [0.246417, 0.623951, 0.279087, 0.277648, -0.007783], [0.529072, 0.571991, 0.328969, 0.245311, -0.499737]], "network.0.bias": [-0.0532, -0.361077, 0.170603, -0.199957, -0.348987, 0.356186, -0.059591, 0.244185], "network.2.weight": [[0.399397, -0.214938, 0.188504, -0.052459, -0.181259, 0.400302, 0.226627, 0.462756], [0.625234, 0.052693, 0.623773, -0.25843, -0.123211, -0.11883, 0.269491, 0.28901], [-0.003787, -0.089561, 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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.713432103395462, "train_acc": 0.44, "val_loss": 0.6904255151748657, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6938156485557556, "train_acc": 0.56, "val_loss": 0.6508707404136658, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6052013337612152, "train_acc": 0.485, "val_loss": 0.4369913339614868, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.41425248980522156, "train_acc": 0.895, "val_loss": 1.700557827949524, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.8224007934331894, "train_acc": 0.825, "val_loss": 0.3394140899181366, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.35379475355148315, "train_acc": 0.87, "val_loss": 0.5113964080810547, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.39089301228523254, "train_acc": 0.82, "val_loss": 0.5860434770584106, "val_acc": 0.7}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.41952046751976013, "train_acc": 0.81, "val_loss": 0.5737621784210205, "val_acc": 0.72}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6904255151748657, "final_val_loss": 0.6508707404136658, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.4369913339614868, "final_val_loss": 0.5737621784210205, "initial_val_acc": 0.9, "final_val_acc": 0.72, "best_val_acc": 0.9, "best_epoch": 2}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
17
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.76, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 9, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7287, "learning_rate": 0.028993303041424494, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[23.858636, 24.079491, 26.186431, 27.145671, 91.339030], [28.868586, 28.975026, 30.001665, 30.416294, 155.311036], [22.207650, 23.124441, 23.323994, 23.872725, 91.775477], [22.635910, 25.600324, 26.341085, 29.043753, 164.084894], [23.600721, 24.402276, 24.638303, 35.126304, 59.149509], [18.421486, 19.528561, 19.622561, 20.091133, 22.463926], [20.004815, 21.152672, 21.711518, 22.922263, 53.314059], [29.004397, 29.596376, 29.606192, 34.667658, 155.991345], [28.504723, 29.531065, 29.732571, 32.099084, 234.061783]]
### 2
fourier: [[40.489481, 41.327891, 42.308248, 44.379500, 229.123426], [19.797997, 20.064044, 21.516223, 22.112104, 185.608989], [11.658057, 12.036941, 12.041314, 12.713965, 107.054048], [22.404404, 22.573822, 22.624079, 25.957222, 72.078983], [21.116884, 21.918455, 25.944362, 27.018880, 47.782003], [11.635587, 12.081605, 12.310007, 14.226328, 43.711902], [20.502689, 22.363411, 22.622653, 23.380769, 165.257208], [27.694061, 28.408640, 29.712437, 30.274265, 139.566978], [16.949053, 18.180435, 19.038289, 19.557575, 182.368211]]
### 4
fourier: [[16.495680, 16.688776, 20.881488, 22.246051, 77.164878], [4.910320, 5.589805, 5.779384, 6.769299, 62.113547], [4.945133, 5.010455, 5.347818, 6.170607, 47.726793], [25.624881, 27.454327, 27.577830, 30.972985, 140.536157], [5.369223, 6.149959, 6.319383, 6.722574, 11.125784], [6.326719, 6.694011, 6.985178, 7.833962, 51.539373], [9.345792, 9.578818, 9.979766, 10.166646, 78.686986], [11.344895, 11.930728, 12.419555, 13.655282, 93.227535], [5.199848, 5.517197, 5.723948, 5.928040, 39.599973]]
### 6
fourier: [[8.565492, 8.794318, 9.647620, 12.200242, 12.669288], [12.013917, 12.356332, 12.667452, 15.607558, 53.324539], [8.257958, 8.615984, 8.627232, 10.944189, 44.872038], [8.044519, 8.529483, 8.848377, 9.790724, 75.675114], [7.363664, 7.466534, 7.577589, 8.351276, 47.901214], [9.894285, 10.089908, 10.206417, 12.766942, 13.433669], [9.500470, 9.693115, 10.914367, 13.814646, 14.417885], [3.496789, 3.522751, 4.141537, 4.395863, 60.751433], [18.523816, 19.528916, 20.919373, 24.008510, 92.842472]]
### 8
fourier: [[10.718911, 10.744219, 10.972293, 13.381101, 81.772580], [14.350220, 15.651481, 18.494933, 19.993982, 20.872186], [6.233672, 6.310525, 7.618985, 8.104470, 10.122267], [3.162464, 3.645704, 3.724461, 4.642174, 10.013174], [21.849999, 22.798367, 24.551882, 27.657421, 105.370591], [9.424447, 9.925065, 11.150499, 12.639484, 13.036829], [8.142072, 9.015606, 9.914724, 10.977863, 49.605636], [9.277540, 9.724752, 11.239141, 11.600996, 46.228134], [11.162193, 11.706984, 14.219467, 14.235918, 25.359891]]
### 10
fourier: [[6.760178, 7.540225, 8.346686, 8.834548, 34.825136], [15.312423, 16.794704, 19.638248, 20.473922, 60.223285], [6.588753, 6.774677, 8.068093, 8.504546, 28.349073], [4.032045, 4.074375, 4.241404, 5.135612, 27.772299], [11.401754, 12.254799, 14.053612, 14.995281, 23.745738], [10.372893, 11.419541, 13.800318, 14.073591, 54.816542], [16.552626, 17.568990, 19.852577, 21.391237, 80.241458], [7.045756, 7.096357, 8.473057, 8.616600, 9.069376], [14.399515, 15.263679, 18.288354, 18.720247, 80.547475]]
### 12
fourier: [[13.558675, 14.955539, 17.706256, 18.254685, 94.534432]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.108276
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0.196798,
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-0.115368,
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0.166679,
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],
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0.114695,
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0.422762
],
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0.04306,
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0.144218,
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0.466411,
0.20663,
0.006833
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0.160177,
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0.502032,
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0.29096,
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],
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"network.12.weight": [
[
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"network.12.bias": [
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}
## Activation Signature
### 0
fourier: [[23.858636, 24.079491, 26.186431, 27.145671, 91.339030], [28.868586, 28.975026, 30.001665, 30.416294, 155.311036], [22.207650, 23.124441, 23.323994, 23.872725, 91.775477], [22.635910, 25.600324, 26.341085, 29.043753, 164.084894], [23.600721, 24.402276, 24.638303, 35.126304, 59.149509], [18.421486, 19.528561, 19.622561, 20.091133, 22.463926], [20.004815, 21.152672, 21.711518, 22.922263, 53.314059], [29.004397, 29.596376, 29.606192, 34.667658, 155.991345], [28.504723, 29.531065, 29.732571, 32.099084, 234.061783]]
### 2
fourier: [[40.489481, 41.327891, 42.308248, 44.379500, 229.123426], [19.797997, 20.064044, 21.516223, 22.112104, 185.608989], [11.658057, 12.036941, 12.041314, 12.713965, 107.054048], [22.404404, 22.573822, 22.624079, 25.957222, 72.078983], [21.116884, 21.918455, 25.944362, 27.018880, 47.782003], [11.635587, 12.081605, 12.310007, 14.226328, 43.711902], [20.502689, 22.363411, 22.622653, 23.380769, 165.257208], [27.694061, 28.408640, 29.712437, 30.274265, 139.566978], [16.949053, 18.180435, 19.038289, 19.557575, 182.368211]]
### 4
fourier: [[16.495680, 16.688776, 20.881488, 22.246051, 77.164878], [4.910320, 5.589805, 5.779384, 6.769299, 62.113547], [4.945133, 5.010455, 5.347818, 6.170607, 47.726793], [25.624881, 27.454327, 27.577830, 30.972985, 140.536157], [5.369223, 6.149959, 6.319383, 6.722574, 11.125784], [6.326719, 6.694011, 6.985178, 7.833962, 51.539373], [9.345792, 9.578818, 9.979766, 10.166646, 78.686986], [11.344895, 11.930728, 12.419555, 13.655282, 93.227535], [5.199848, 5.517197, 5.723948, 5.928040, 39.599973]]
### 6
fourier: [[8.565492, 8.794318, 9.647620, 12.200242, 12.669288], [12.013917, 12.356332, 12.667452, 15.607558, 53.324539], [8.257958, 8.615984, 8.627232, 10.944189, 44.872038], [8.044519, 8.529483, 8.848377, 9.790724, 75.675114], [7.363664, 7.466534, 7.577589, 8.351276, 47.901214], [9.894285, 10.089908, 10.206417, 12.766942, 13.433669], [9.500470, 9.693115, 10.914367, 13.814646, 14.417885], [3.496789, 3.522751, 4.141537, 4.395863, 60.751433], [18.523816, 19.528916, 20.919373, 24.008510, 92.842472]]
### 8
fourier: [[10.718911, 10.744219, 10.972293, 13.381101, 81.772580], [14.350220, 15.651481, 18.494933, 19.993982, 20.872186], [6.233672, 6.310525, 7.618985, 8.104470, 10.122267], [3.162464, 3.645704, 3.724461, 4.642174, 10.013174], [21.849999, 22.798367, 24.551882, 27.657421, 105.370591], [9.424447, 9.925065, 11.150499, 12.639484, 13.036829], [8.142072, 9.015606, 9.914724, 10.977863, 49.605636], [9.277540, 9.724752, 11.239141, 11.600996, 46.228134], [11.162193, 11.706984, 14.219467, 14.235918, 25.359891]]
### 10
fourier: [[6.760178, 7.540225, 8.346686, 8.834548, 34.825136], [15.312423, 16.794704, 19.638248, 20.473922, 60.223285], [6.588753, 6.774677, 8.068093, 8.504546, 28.349073], [4.032045, 4.074375, 4.241404, 5.135612, 27.772299], [11.401754, 12.254799, 14.053612, 14.995281, 23.745738], [10.372893, 11.419541, 13.800318, 14.073591, 54.816542], [16.552626, 17.568990, 19.852577, 21.391237, 80.241458], [7.045756, 7.096357, 8.473057, 8.616600, 9.069376], [14.399515, 15.263679, 18.288354, 18.720247, 80.547475]]
### 12
fourier: [[13.558675, 14.955539, 17.706256, 18.254685, 94.534432]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
|
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22.62265331940288, 23.38076933353493, 165.25720757246017]}, "7": {"fourier": [27.694061165664337, 28.408640201589417, 29.712436994199887, 30.274264871724576, 139.566978007555]}, "8": {"fourier": [16.949053461249527, 18.180434871912304, 19.038288688849857, 19.55757501680625, 182.36821120977402]}}, "layer_info": {"num_neurons": 9, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [16.495680112238045, 16.688776129307826, 20.88148799255126, 22.246051187134306, 77.16487755440176]}, "1": {"fourier": [4.910319695844488, 5.589804596310614, 5.779383518050616, 6.7692986737003435, 62.113546539098024]}, "2": {"fourier": [4.945132760351821, 5.010454640538722, 5.347818132617028, 6.170606819101969, 47.72679295390844]}, "3": {"fourier": [25.624880765991048, 27.454326730002357, 27.5778295776283, 30.9729848510334, 140.53615733981133]}, "4": {"fourier": [5.369222547082292, 6.149959327649733, 6.319383379274478, 6.722573589294913, 11.125783577561378]}, "5": 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 9, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.621797, 0.181471, 0.088806, 0.093704, -0.129581], [-0.141914, 0.414264, 0.557052, 0.328042, -0.501678], [-0.530821, -0.429709, 0.257536, 0.050205, -0.160722], [-0.367653, -0.186858, 0.409461, 0.547978, 0.229114], [0.295244, 0.537089, -0.244573, 0.053995, -0.389493], [-0.126974, 0.47744, 0.078181, -0.002051, -0.460732], [-0.311163, -0.439707, 0.215657, 0.179602, -0.385123], [0.444838, 0.547015, 0.115391, 0.142311, -0.332141], [-0.068366, 0.170724, 0.454166, 0.21356, 0.580322]], "network.0.bias": [-0.316225, -0.100951, -0.023526, 0.308186, 0.186577, -0.08464, 0.235446, 0.0463, 0.252269], "network.2.weight": [[0.22308, 0.486366, -0.059146, 0.228717, 0.453343, 0.440764, -0.247559, 0.402168, -0.050009], [-0.065806, -0.109774, 0.240683, 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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6746813356876373, "train_acc": 0.6, "val_loss": 0.7479637861251831, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6738008260726929, "train_acc": 0.6, "val_loss": 0.7407190203666687, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6411774754524231, "train_acc": 0.6, "val_loss": 0.647970974445343, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6185153126716614, "train_acc": 0.645, "val_loss": 0.5593197345733643, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5443783104419708, "train_acc": 0.74, "val_loss": 0.55096834897995, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5109158456325531, "train_acc": 0.735, "val_loss": 0.593740701675415, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5069453120231628, "train_acc": 0.74, "val_loss": 0.5906022191047668, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5030097961425781, "train_acc": 0.75, "val_loss": 0.5702313780784607, "val_acc": 0.76}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7479637861251831, "final_val_loss": 0.647970974445343, "initial_val_acc": 0.42, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5593197345733643, "final_val_loss": 0.5702313780784607, "initial_val_acc": 0.76, "final_val_acc": 0.76, "best_val_acc": 0.76, "best_epoch": 3}, "improvement": 0.18000000000000005, "first_improvement_epoch": 2}}
|
18
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.52, "improved_accuracy": 0.88, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8389, "learning_rate": 0.07297212547380703, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[52.577409, 53.391182, 57.843651, 65.318289, 130.647175], [31.315188, 33.023181, 35.566131, 41.036613, 58.391286], [31.386130, 31.902260, 32.566142, 33.455430, 97.493476], [49.255343, 55.818754, 66.474850, 70.694688, 73.296467], [32.981831, 37.876189, 39.181801, 40.475336, 44.275965], [22.613011, 24.256727, 25.169507, 30.866501, 78.511083], [25.219762, 25.628207, 32.160506, 34.866738, 262.866461], [48.621761, 61.961778, 65.182203, 71.840663, 265.500393], [28.538367, 30.027839, 30.263818, 31.434392, 265.777943], [40.577641, 41.983569, 45.766901, 56.738052, 201.114580], [18.234509, 18.684390, 20.501858, 23.077279, 95.478714]]
### 2
fourier: [[115.284978, 122.732969, 148.788993, 148.887663, 513.915573], [38.941372, 43.896280, 46.061962, 48.122960, 62.145253], [122.401886, 124.855093, 148.259371, 158.268389, 504.492686], [44.706345, 45.977722, 52.080924, 55.599612, 408.014651], [27.790830, 30.902850, 34.368252, 37.917401, 185.255492], [106.440366, 118.603598, 133.141549, 140.858306, 444.155828], [136.147722, 138.037005, 158.241015, 175.377269, 492.681371], [77.888308, 89.456570, 106.482178, 117.824719, 303.623580], [64.041110, 70.775915, 78.499263, 85.516408, 245.430969], [61.967961, 65.928885, 69.768018, 77.572344, 79.452863], [106.644024, 108.785402, 130.326097, 135.416601, 474.308403]]
### 4
fourier: [[191.592601, 203.034310, 243.809966, 264.147231, 624.069328], [31.167313, 34.336036, 34.626821, 35.920980, 239.134929], [80.711189, 82.971645, 93.750783, 109.636381, 113.634857], [290.086208, 302.515554, 367.201056, 387.103208, 1065.523825], [222.702657, 230.709018, 276.916420, 281.948050, 1104.018691], [297.908622, 311.357054, 371.352894, 397.852590, 1080.267353], [93.026403, 94.163450, 122.658530, 129.930725, 135.506717], [99.128081, 107.703644, 124.201126, 140.654936, 243.733785], [51.272587, 62.462658, 73.823224, 81.091966, 410.312382], [55.845724, 57.932743, 70.878489, 72.714567, 302.976931], [170.813251, 177.917511, 209.761236, 214.839272, 933.358005]]
### 6
fourier: [[145.469551, 147.951781, 187.696308, 190.062847, 627.793469], [130.526776, 135.029402, 167.262845, 175.774362, 442.233607], [75.150040, 76.764103, 97.902522, 99.759999, 351.770282], [25.725171, 25.917037, 32.212114, 32.425810, 136.294240], [325.448094, 334.890460, 416.009416, 429.468438, 1227.345542], [13.670267, 14.838822, 15.832941, 17.116269, 131.417616], [27.324087, 28.678657, 33.963128, 37.253716, 61.809542], [237.958764, 239.482268, 302.622961, 303.544036, 1088.059001], [159.841416, 164.267422, 206.636541, 213.435096, 569.677548], [141.267154, 146.088234, 178.185376, 187.867803, 533.253393], [122.997629, 124.497361, 154.787674, 159.781535, 615.253012]]
### 8
fourier: [[271.586981, 278.844569, 352.324693, 355.198659, 1101.583078], [36.190770, 37.607131, 47.520379, 47.663738, 128.949012], [88.366361, 91.200900, 115.486144, 116.126695, 312.742083], [141.928384, 146.939007, 185.464026, 186.046680, 554.061192], [42.067636, 42.623423, 53.434397, 54.923258, 231.486836], [157.102968, 161.249294, 203.679509, 204.036688, 629.014017], [192.760730, 198.601110, 249.474489, 253.104126, 765.270043], [138.777303, 142.810026, 179.569207, 181.547532, 526.258390], [41.365273, 42.980138, 53.661212, 55.314776, 235.561453], [108.469073, 111.301491, 141.069064, 141.569213, 482.249578], [87.296774, 90.480383, 113.799362, 113.906072, 399.207391]]
### 10
fourier: [[214.439339, 220.661922, 278.505973, 278.667020, 803.266843], [185.745296, 191.040816, 241.359226, 241.711245, 763.183930], [70.720840, 73.008952, 91.972568, 92.999313, 383.655955], [19.236045, 20.144099, 25.193946, 25.384050, 131.822551], [156.895888, 161.330212, 204.067773, 204.112047, 668.689956], [105.919338, 109.127549, 138.149164, 138.157004, 457.609403], [122.898465, 126.379287, 159.725817, 159.852797, 521.577516], [72.005421, 74.225499, 93.109722, 94.018033, 295.622311], [56.703068, 58.523106, 73.540101, 74.830637, 237.677949], [50.565323, 51.787843, 65.747574, 65.963669, 243.347760], [108.732088, 111.771435, 140.948352, 141.485206, 469.189691]]
### 12
fourier: [[26.401860, 27.241386, 33.998040, 34.445473, 123.493079], [14.512924, 14.974406, 18.688493, 18.934444, 84.475006], [9.604138, 9.909531, 12.367382, 12.530144, 120.000177], [42.795985, 44.156813, 55.108982, 55.834247, 171.065244], [41.499174, 42.818765, 53.439061, 54.142348, 188.354153], [40.861145, 42.160450, 52.617465, 53.309940, 140.085899], [80.070635, 82.616727, 103.108068, 104.465026, 284.028852], [65.735376, 67.825627, 84.648350, 85.762370, 193.249135], [101.335043, 104.557295, 130.490539, 132.207867, 366.247469], [97.032693, 100.118140, 124.950342, 126.594756, 349.867577], [56.502186, 58.298844, 72.758646, 73.716191, 233.280102]]
### 14
fourier: [[59.616449, 61.536650, 77.299495, 77.463958, 94.552040]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[52.577409, 53.391182, 57.843651, 65.318289, 130.647175], [31.315188, 33.023181, 35.566131, 41.036613, 58.391286], [31.386130, 31.902260, 32.566142, 33.455430, 97.493476], [49.255343, 55.818754, 66.474850, 70.694688, 73.296467], [32.981831, 37.876189, 39.181801, 40.475336, 44.275965], [22.613011, 24.256727, 25.169507, 30.866501, 78.511083], [25.219762, 25.628207, 32.160506, 34.866738, 262.866461], [48.621761, 61.961778, 65.182203, 71.840663, 265.500393], [28.538367, 30.027839, 30.263818, 31.434392, 265.777943], [40.577641, 41.983569, 45.766901, 56.738052, 201.114580], [18.234509, 18.684390, 20.501858, 23.077279, 95.478714]]
### 2
fourier: [[115.284978, 122.732969, 148.788993, 148.887663, 513.915573], [38.941372, 43.896280, 46.061962, 48.122960, 62.145253], [122.401886, 124.855093, 148.259371, 158.268389, 504.492686], [44.706345, 45.977722, 52.080924, 55.599612, 408.014651], [27.790830, 30.902850, 34.368252, 37.917401, 185.255492], [106.440366, 118.603598, 133.141549, 140.858306, 444.155828], [136.147722, 138.037005, 158.241015, 175.377269, 492.681371], [77.888308, 89.456570, 106.482178, 117.824719, 303.623580], [64.041110, 70.775915, 78.499263, 85.516408, 245.430969], [61.967961, 65.928885, 69.768018, 77.572344, 79.452863], [106.644024, 108.785402, 130.326097, 135.416601, 474.308403]]
### 4
fourier: [[191.592601, 203.034310, 243.809966, 264.147231, 624.069328], [31.167313, 34.336036, 34.626821, 35.920980, 239.134929], [80.711189, 82.971645, 93.750783, 109.636381, 113.634857], [290.086208, 302.515554, 367.201056, 387.103208, 1065.523825], [222.702657, 230.709018, 276.916420, 281.948050, 1104.018691], [297.908622, 311.357054, 371.352894, 397.852590, 1080.267353], [93.026403, 94.163450, 122.658530, 129.930725, 135.506717], [99.128081, 107.703644, 124.201126, 140.654936, 243.733785], [51.272587, 62.462658, 73.823224, 81.091966, 410.312382], [55.845724, 57.932743, 70.878489, 72.714567, 302.976931], [170.813251, 177.917511, 209.761236, 214.839272, 933.358005]]
### 6
fourier: [[145.469551, 147.951781, 187.696308, 190.062847, 627.793469], [130.526776, 135.029402, 167.262845, 175.774362, 442.233607], [75.150040, 76.764103, 97.902522, 99.759999, 351.770282], [25.725171, 25.917037, 32.212114, 32.425810, 136.294240], [325.448094, 334.890460, 416.009416, 429.468438, 1227.345542], [13.670267, 14.838822, 15.832941, 17.116269, 131.417616], [27.324087, 28.678657, 33.963128, 37.253716, 61.809542], [237.958764, 239.482268, 302.622961, 303.544036, 1088.059001], [159.841416, 164.267422, 206.636541, 213.435096, 569.677548], [141.267154, 146.088234, 178.185376, 187.867803, 533.253393], [122.997629, 124.497361, 154.787674, 159.781535, 615.253012]]
### 8
fourier: [[271.586981, 278.844569, 352.324693, 355.198659, 1101.583078], [36.190770, 37.607131, 47.520379, 47.663738, 128.949012], [88.366361, 91.200900, 115.486144, 116.126695, 312.742083], [141.928384, 146.939007, 185.464026, 186.046680, 554.061192], [42.067636, 42.623423, 53.434397, 54.923258, 231.486836], [157.102968, 161.249294, 203.679509, 204.036688, 629.014017], [192.760730, 198.601110, 249.474489, 253.104126, 765.270043], [138.777303, 142.810026, 179.569207, 181.547532, 526.258390], [41.365273, 42.980138, 53.661212, 55.314776, 235.561453], [108.469073, 111.301491, 141.069064, 141.569213, 482.249578], [87.296774, 90.480383, 113.799362, 113.906072, 399.207391]]
### 10
fourier: [[214.439339, 220.661922, 278.505973, 278.667020, 803.266843], [185.745296, 191.040816, 241.359226, 241.711245, 763.183930], [70.720840, 73.008952, 91.972568, 92.999313, 383.655955], [19.236045, 20.144099, 25.193946, 25.384050, 131.822551], [156.895888, 161.330212, 204.067773, 204.112047, 668.689956], [105.919338, 109.127549, 138.149164, 138.157004, 457.609403], [122.898465, 126.379287, 159.725817, 159.852797, 521.577516], [72.005421, 74.225499, 93.109722, 94.018033, 295.622311], [56.703068, 58.523106, 73.540101, 74.830637, 237.677949], [50.565323, 51.787843, 65.747574, 65.963669, 243.347760], [108.732088, 111.771435, 140.948352, 141.485206, 469.189691]]
### 12
fourier: [[26.401860, 27.241386, 33.998040, 34.445473, 123.493079], [14.512924, 14.974406, 18.688493, 18.934444, 84.475006], [9.604138, 9.909531, 12.367382, 12.530144, 120.000177], [42.795985, 44.156813, 55.108982, 55.834247, 171.065244], [41.499174, 42.818765, 53.439061, 54.142348, 188.354153], [40.861145, 42.160450, 52.617465, 53.309940, 140.085899], [80.070635, 82.616727, 103.108068, 104.465026, 284.028852], [65.735376, 67.825627, 84.648350, 85.762370, 193.249135], [101.335043, 104.557295, 130.490539, 132.207867, 366.247469], [97.032693, 100.118140, 124.950342, 126.594756, 349.867577], [56.502186, 58.298844, 72.758646, 73.716191, 233.280102]]
### 14
fourier: [[59.616449, 61.536650, 77.299495, 77.463958, 94.552040]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6904065310955048, "train_acc": 0.57, "val_loss": 0.6901623010635376, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6633634865283966, "train_acc": 0.57, "val_loss": 0.6251670718193054, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5914428532123566, "train_acc": 0.495, "val_loss": 0.4417248070240021, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.46178507804870605, "train_acc": 0.835, "val_loss": 0.3685595989227295, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6622976660728455, "train_acc": 0.8, "val_loss": 0.36158788204193115, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4326903373003006, "train_acc": 0.825, "val_loss": 0.4984757900238037, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.48570358753204346, "train_acc": 0.75, "val_loss": 0.3475850820541382, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4092760533094406, "train_acc": 0.82, "val_loss": 0.3813195824623108, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3292568325996399, "train_acc": 0.86, "val_loss": 0.3496144115924835, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.37176012992858887, "train_acc": 0.84, "val_loss": 0.3460081219673157, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.37084154784679413, "train_acc": 0.825, "val_loss": 0.3525744676589966, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.34375739097595215, "train_acc": 0.825, "val_loss": 0.39513298869132996, "val_acc": 0.8}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6901623010635376, "final_val_loss": 0.6251670718193054, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.4417248070240021, "final_val_loss": 0.39513298869132996, "initial_val_acc": 0.82, "final_val_acc": 0.8, "best_val_acc": 0.88, "best_epoch": 9}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
19
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.88, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 9, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9120, "learning_rate": 0.06490589624449432, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[25.332789, 25.601059, 25.672528, 26.574799, 37.152560], [48.188196, 48.361015, 50.798049, 52.845258, 60.025272], [43.284289, 51.365545, 51.435193, 52.180446, 61.780275], [29.893691, 32.492363, 32.610242, 38.583498, 39.330545], [41.002117, 45.860114, 46.786348, 49.037771, 87.099096], [27.134524, 32.807641, 34.425646, 35.495139, 191.526997], [26.353789, 26.756358, 30.691495, 34.383241, 244.562368], [39.539630, 40.370696, 43.355310, 51.547895, 383.645897], [37.780425, 39.902710, 46.716031, 51.033704, 413.261888]]
### 2
fourier: [[15.503127, 15.673908, 21.899989, 23.635221, 61.098060], [45.580895, 52.100272, 52.138377, 52.551373, 69.875844], [33.009161, 33.329086, 35.206955, 38.111296, 152.388542], [23.651451, 24.364282, 25.399620, 33.897645, 89.847774], [19.964094, 20.345174, 21.769305, 22.300704, 84.837828], [16.114280, 16.678654, 18.970715, 21.975306, 93.843357], [37.455532, 42.288731, 47.061872, 55.905535, 75.142263], [26.737993, 27.931984, 28.792984, 31.679508, 41.728209], [47.718829, 49.276366, 55.672732, 60.840231, 84.627139]]
### 4
fourier: [[31.343806, 34.018780, 37.336258, 37.534447, 116.202457], [18.302985, 21.508709, 22.147568, 23.454204, 86.827769], [24.792937, 25.365472, 30.098929, 30.174224, 118.479434], [56.602661, 64.770032, 79.031604, 99.832827, 201.276899], [23.824661, 25.288581, 26.612326, 26.659282, 100.957677], [32.502167, 33.731614, 39.169222, 42.659479, 165.757644], [13.871328, 14.876890, 21.175118, 23.802427, 102.531118], [32.781448, 32.968485, 35.486579, 39.638616, 42.810481], [11.469665, 13.504186, 14.975385, 15.017789, 78.690437]]
### 6
fourier: [[3.101132, 3.254730, 3.477246, 3.651352, 28.505375], [15.339963, 15.605332, 18.636482, 22.569639, 33.718430], [33.469400, 34.650881, 35.887673, 41.826569, 178.320598], [34.173825, 34.822685, 37.109668, 42.831939, 194.066844], [37.496006, 38.676682, 40.324752, 48.082890, 198.560393], [34.663838, 35.569826, 38.364368, 45.360379, 172.334810], [40.256623, 48.205374, 49.054656, 51.335716, 173.724603], [44.692467, 46.852581, 50.090126, 53.785434, 282.005165], [38.177662, 39.242220, 40.606314, 43.853649, 204.201139]]
### 8
fourier: [[24.382694, 26.623681, 30.052678, 30.545727, 149.897163], [10.744967, 10.946123, 12.895614, 12.937724, 20.045748], [15.381926, 18.336578, 18.621685, 19.606874, 67.821416], [21.343574, 24.553719, 26.677716, 26.987350, 137.031931], [4.458672, 4.921639, 5.315030, 6.203154, 44.013607], [26.469619, 32.232370, 32.288248, 33.215854, 127.546859], [12.531477, 14.661270, 15.280693, 16.162543, 31.786816], [20.077106, 22.661460, 25.512478, 25.550180, 34.608067], [23.994473, 28.656381, 29.101851, 30.324983, 90.239030]]
### 10
fourier: [[7.171633, 7.810765, 9.118244, 9.742303, 10.042698], [24.233701, 28.321992, 30.336216, 30.753362, 90.926672], [9.228206, 10.838527, 11.757862, 11.823060, 30.276972], [42.006736, 50.077475, 51.182199, 53.785509, 165.607880], [26.346177, 31.456239, 31.836441, 33.921449, 125.506405], [14.920954, 15.970819, 19.038303, 20.419910, 20.443249], [4.609744, 5.438896, 6.043388, 6.134020, 56.288895], [20.887923, 22.440886, 26.633914, 28.216221, 28.653064], [11.531226, 13.801807, 14.129948, 14.906078, 61.579944]]
### 12
fourier: [[6.879046, 7.254710, 8.237171, 10.046727, 109.714824], [10.042234, 12.628617, 14.169724, 15.449596, 86.855380], [4.383054, 4.470194, 5.537678, 5.571936, 5.824096], [12.588009, 15.167782, 17.629683, 19.730241, 105.542769], [8.821245, 11.040092, 12.434170, 13.718762, 111.831420], [4.678128, 4.762915, 4.764070, 5.217305, 14.572471], [8.710072, 9.833316, 11.323834, 11.835629, 30.316720], [2.030200, 2.037023, 2.402510, 2.427889, 21.139383], [8.221479, 9.556064, 9.898554, 10.288741, 71.582289]]
### 14
fourier: [[8.943560, 10.589759, 12.147070, 13.469426, 98.984652], [6.461997, 7.399836, 8.462091, 9.102303, 95.255319], [8.343249, 10.192494, 11.642222, 12.880708, 55.596295], [8.582996, 10.049836, 11.559549, 12.636186, 84.507075], [0.221451, 0.231715, 0.253010, 0.259403, 48.681155], [6.373739, 6.637242, 7.692515, 7.930496, 100.507637], [5.816898, 7.049456, 7.890099, 8.414449, 89.271680], [10.915125, 13.132798, 14.960672, 16.568793, 42.270967], [8.587491, 9.726369, 11.063303, 12.247762, 102.713631]]
### 16
fourier: [[9.029060, 11.059523, 12.019431, 12.752892, 110.608319]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[25.332789, 25.601059, 25.672528, 26.574799, 37.152560], [48.188196, 48.361015, 50.798049, 52.845258, 60.025272], [43.284289, 51.365545, 51.435193, 52.180446, 61.780275], [29.893691, 32.492363, 32.610242, 38.583498, 39.330545], [41.002117, 45.860114, 46.786348, 49.037771, 87.099096], [27.134524, 32.807641, 34.425646, 35.495139, 191.526997], [26.353789, 26.756358, 30.691495, 34.383241, 244.562368], [39.539630, 40.370696, 43.355310, 51.547895, 383.645897], [37.780425, 39.902710, 46.716031, 51.033704, 413.261888]]
### 2
fourier: [[15.503127, 15.673908, 21.899989, 23.635221, 61.098060], [45.580895, 52.100272, 52.138377, 52.551373, 69.875844], [33.009161, 33.329086, 35.206955, 38.111296, 152.388542], [23.651451, 24.364282, 25.399620, 33.897645, 89.847774], [19.964094, 20.345174, 21.769305, 22.300704, 84.837828], [16.114280, 16.678654, 18.970715, 21.975306, 93.843357], [37.455532, 42.288731, 47.061872, 55.905535, 75.142263], [26.737993, 27.931984, 28.792984, 31.679508, 41.728209], [47.718829, 49.276366, 55.672732, 60.840231, 84.627139]]
### 4
fourier: [[31.343806, 34.018780, 37.336258, 37.534447, 116.202457], [18.302985, 21.508709, 22.147568, 23.454204, 86.827769], [24.792937, 25.365472, 30.098929, 30.174224, 118.479434], [56.602661, 64.770032, 79.031604, 99.832827, 201.276899], [23.824661, 25.288581, 26.612326, 26.659282, 100.957677], [32.502167, 33.731614, 39.169222, 42.659479, 165.757644], [13.871328, 14.876890, 21.175118, 23.802427, 102.531118], [32.781448, 32.968485, 35.486579, 39.638616, 42.810481], [11.469665, 13.504186, 14.975385, 15.017789, 78.690437]]
### 6
fourier: [[3.101132, 3.254730, 3.477246, 3.651352, 28.505375], [15.339963, 15.605332, 18.636482, 22.569639, 33.718430], [33.469400, 34.650881, 35.887673, 41.826569, 178.320598], [34.173825, 34.822685, 37.109668, 42.831939, 194.066844], [37.496006, 38.676682, 40.324752, 48.082890, 198.560393], [34.663838, 35.569826, 38.364368, 45.360379, 172.334810], [40.256623, 48.205374, 49.054656, 51.335716, 173.724603], [44.692467, 46.852581, 50.090126, 53.785434, 282.005165], [38.177662, 39.242220, 40.606314, 43.853649, 204.201139]]
### 8
fourier: [[24.382694, 26.623681, 30.052678, 30.545727, 149.897163], [10.744967, 10.946123, 12.895614, 12.937724, 20.045748], [15.381926, 18.336578, 18.621685, 19.606874, 67.821416], [21.343574, 24.553719, 26.677716, 26.987350, 137.031931], [4.458672, 4.921639, 5.315030, 6.203154, 44.013607], [26.469619, 32.232370, 32.288248, 33.215854, 127.546859], [12.531477, 14.661270, 15.280693, 16.162543, 31.786816], [20.077106, 22.661460, 25.512478, 25.550180, 34.608067], [23.994473, 28.656381, 29.101851, 30.324983, 90.239030]]
### 10
fourier: [[7.171633, 7.810765, 9.118244, 9.742303, 10.042698], [24.233701, 28.321992, 30.336216, 30.753362, 90.926672], [9.228206, 10.838527, 11.757862, 11.823060, 30.276972], [42.006736, 50.077475, 51.182199, 53.785509, 165.607880], [26.346177, 31.456239, 31.836441, 33.921449, 125.506405], [14.920954, 15.970819, 19.038303, 20.419910, 20.443249], [4.609744, 5.438896, 6.043388, 6.134020, 56.288895], [20.887923, 22.440886, 26.633914, 28.216221, 28.653064], [11.531226, 13.801807, 14.129948, 14.906078, 61.579944]]
### 12
fourier: [[6.879046, 7.254710, 8.237171, 10.046727, 109.714824], [10.042234, 12.628617, 14.169724, 15.449596, 86.855380], [4.383054, 4.470194, 5.537678, 5.571936, 5.824096], [12.588009, 15.167782, 17.629683, 19.730241, 105.542769], [8.821245, 11.040092, 12.434170, 13.718762, 111.831420], [4.678128, 4.762915, 4.764070, 5.217305, 14.572471], [8.710072, 9.833316, 11.323834, 11.835629, 30.316720], [2.030200, 2.037023, 2.402510, 2.427889, 21.139383], [8.221479, 9.556064, 9.898554, 10.288741, 71.582289]]
### 14
fourier: [[8.943560, 10.589759, 12.147070, 13.469426, 98.984652], [6.461997, 7.399836, 8.462091, 9.102303, 95.255319], [8.343249, 10.192494, 11.642222, 12.880708, 55.596295], [8.582996, 10.049836, 11.559549, 12.636186, 84.507075], [0.221451, 0.231715, 0.253010, 0.259403, 48.681155], [6.373739, 6.637242, 7.692515, 7.930496, 100.507637], [5.816898, 7.049456, 7.890099, 8.414449, 89.271680], [10.915125, 13.132798, 14.960672, 16.568793, 42.270967], [8.587491, 9.726369, 11.063303, 12.247762, 102.713631]]
### 16
fourier: [[9.029060, 11.059523, 12.019431, 12.752892, 110.608319]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6966329216957092, "train_acc": 0.485, "val_loss": 0.7035399079322815, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6759102642536163, "train_acc": 0.575, "val_loss": 0.6993933916091919, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6202766299247742, "train_acc": 0.575, "val_loss": 0.6001439094543457, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6335978806018829, "train_acc": 0.5, "val_loss": 0.6936248540878296, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6907043159008026, "train_acc": 0.5, "val_loss": 0.6847895979881287, "val_acc": 0.5}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.680484414100647, "train_acc": 0.5, "val_loss": 0.6656033992767334, "val_acc": 0.5}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6492031812667847, "train_acc": 0.585, "val_loss": 0.6304812431335449, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.6056804358959198, "train_acc": 0.695, "val_loss": 0.5714308023452759, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.5587376058101654, "train_acc": 0.805, "val_loss": 0.5473595261573792, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.5335947275161743, "train_acc": 0.8, "val_loss": 0.5173987746238708, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.5069241523742676, "train_acc": 0.825, "val_loss": 0.44663727283477783, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.44822169840335846, "train_acc": 0.825, "val_loss": 0.4253978729248047, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.4089963436126709, "train_acc": 0.86, "val_loss": 0.3999876379966736, "val_acc": 0.88}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7035399079322815, "final_val_loss": 0.6001439094543457, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.6936248540878296, "final_val_loss": 0.3999876379966736, "initial_val_acc": 0.5, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 12}, "improvement": 0.38, "first_improvement_epoch": 2}}
|
20
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.88, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4611, "learning_rate": 0.03473103521031102, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[23.567836, 23.954316, 25.137654, 25.606463, 28.511457], [15.531388, 15.817313, 17.057408, 17.672184, 19.645914], [23.114591, 25.272160, 25.807919, 29.696015, 41.150161], [27.825794, 31.950662, 32.437428, 32.566924, 175.285777], [19.316907, 19.595135, 20.598630, 25.197016, 113.859505], [22.098378, 22.922725, 24.578377, 26.545324, 134.408620], [27.048596, 28.679393, 34.084255, 39.181895, 265.087537], [31.572510, 31.700145, 33.342348, 34.577418, 99.279255], [29.855432, 32.834830, 33.257467, 33.354185, 96.530476], [23.540725, 23.757094, 23.862801, 28.521254, 87.003231], [25.967644, 27.873548, 36.916120, 37.090336, 165.944915], [31.008803, 31.573175, 33.924491, 35.990956, 72.883337]]
### 2
fourier: [[37.231056, 37.576223, 41.715477, 45.341848, 131.961635], [19.428722, 19.609409, 22.059918, 26.822709, 27.441551], [25.810565, 31.719304, 32.548374, 32.772156, 38.881251], [14.133456, 14.147849, 15.285401, 15.526281, 18.235309], [22.372342, 22.822095, 23.625052, 32.340656, 42.665664], [18.075893, 18.190939, 21.204024, 21.762398, 63.412398], [23.683645, 23.740102, 25.503386, 27.951013, 130.448505], [36.593160, 38.617608, 39.669146, 39.770581, 235.022267], [37.599529, 38.731055, 40.463224, 42.217410, 178.163787], [10.610531, 11.066155, 11.110132, 12.040716, 51.646317], [14.694700, 15.531121, 17.871021, 18.875268, 129.739802], [40.299629, 43.672006, 46.643462, 47.992874, 171.638168]]
### 4
fourier: [[28.435729, 28.605489, 30.155117, 30.172602, 178.628911], [63.563418, 69.695769, 70.369735, 75.098449, 271.673827], [35.577407, 35.818826, 39.879295, 43.152495, 60.911344], [16.534652, 17.517187, 18.375273, 20.021329, 66.557148], [15.260956, 16.167138, 17.881691, 19.426473, 20.726775], [29.955948, 31.709937, 32.019849, 34.177551, 104.785079], [66.510286, 73.589964, 74.504216, 75.080017, 334.756058], [10.753259, 11.085823, 12.653926, 14.656277, 142.520956], [20.772916, 23.333210, 23.565331, 23.668371, 133.918408], [14.183081, 14.405427, 14.983333, 18.420158, 82.363983], [10.276939, 10.984099, 11.042730, 14.661189, 61.838068], [55.146717, 56.888300, 59.052341, 62.687406, 220.171229]]
### 6
fourier: [[48.720311, 53.123669, 54.077117, 58.083114, 180.887300], [16.951647, 17.873082, 17.952554, 19.275712, 106.657530], [70.063878, 76.009575, 77.767645, 81.449157, 312.941946], [68.700739, 76.011077, 78.288634, 78.357257, 299.022442], [23.263543, 25.739938, 26.739915, 28.580397, 50.917623], [7.057221, 7.296426, 7.905824, 8.334807, 79.745203], [28.885842, 28.945324, 29.077931, 29.691854, 169.715056], [73.245990, 81.398228, 83.505672, 87.317382, 308.079504], [33.897951, 37.828072, 38.387026, 39.027429, 130.302675], [69.362310, 75.551064, 77.922180, 81.143965, 310.437146], [49.669214, 55.471797, 57.578503, 60.048431, 154.328682], [49.212048, 54.281331, 56.200144, 58.178111, 202.859494]]
### 8
fourier: [[10.388433, 10.694961, 10.851616, 11.082239, 23.989136], [3.464726, 3.703700, 3.742736, 5.256864, 38.614858], [88.535271, 96.145029, 98.745823, 103.729877, 428.685458], [19.382467, 21.757472, 21.827036, 22.762855, 123.510408], [12.112886, 13.449372, 13.628365, 14.306700, 29.513822], [7.342687, 7.495260, 7.763869, 7.877405, 57.172130], [116.891380, 130.111716, 134.074193, 140.980538, 503.523036], [42.259753, 43.373248, 45.163659, 48.026379, 195.351760], [16.568464, 17.098596, 18.118899, 18.466803, 19.421115], [10.657687, 11.434677, 12.003732, 12.444590, 18.811684], [56.531504, 58.726074, 60.323793, 63.796593, 270.149419], [73.598822, 79.725537, 81.870246, 86.597706, 315.057577]]
### 10
fourier: [[16.689781, 16.921382, 18.023055, 18.533353, 84.361273], [8.591499, 8.830970, 9.895766, 10.361941, 14.438819], [27.515798, 29.768242, 31.208818, 32.899638, 105.441916], [103.151256, 111.653151, 115.867018, 122.417505, 454.451346], [91.392538, 99.260079, 103.287374, 109.234667, 394.115627], [22.189669, 23.464076, 24.563503, 26.058113, 108.470969], [84.399024, 91.788745, 95.796266, 101.005048, 350.356346], [47.002050, 51.827913, 53.966208, 56.006898, 189.100173], [1.696561, 1.721611, 1.836957, 2.053820, 37.776603], [118.746546, 129.421948, 134.482657, 141.763790, 528.438480], [31.572131, 34.337113, 35.719789, 37.622217, 130.087145], [124.544469, 135.845587, 141.152828, 148.489514, 551.390431]]
### 12
fourier: [[3.785942, 4.043144, 4.184210, 4.458533, 25.143969], [8.849609, 9.252837, 9.599596, 10.183240, 48.520143], [143.848836, 153.319057, 160.372507, 169.801413, 631.578788], [62.304185, 67.388339, 70.346932, 74.118500, 260.797319], [208.550228, 224.020698, 233.885761, 247.500158, 924.509160], [42.021006, 45.533246, 47.481252, 50.203643, 150.723437], [98.777870, 106.006939, 110.959625, 117.380195, 421.781039], [2.117654, 2.403639, 2.467854, 2.480100, 30.907284], [121.180423, 130.372599, 136.506412, 144.304042, 530.109000], [141.422391, 151.679495, 158.526512, 167.835286, 614.758176], [50.585935, 54.481767, 57.019475, 60.307859, 199.529112], [145.527961, 156.892704, 163.932600, 173.185494, 630.709075]]
### 14
fourier: [[232.766774, 249.722900, 261.273051, 276.435411, 1004.635418]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[23.567836, 23.954316, 25.137654, 25.606463, 28.511457], [15.531388, 15.817313, 17.057408, 17.672184, 19.645914], [23.114591, 25.272160, 25.807919, 29.696015, 41.150161], [27.825794, 31.950662, 32.437428, 32.566924, 175.285777], [19.316907, 19.595135, 20.598630, 25.197016, 113.859505], [22.098378, 22.922725, 24.578377, 26.545324, 134.408620], [27.048596, 28.679393, 34.084255, 39.181895, 265.087537], [31.572510, 31.700145, 33.342348, 34.577418, 99.279255], [29.855432, 32.834830, 33.257467, 33.354185, 96.530476], [23.540725, 23.757094, 23.862801, 28.521254, 87.003231], [25.967644, 27.873548, 36.916120, 37.090336, 165.944915], [31.008803, 31.573175, 33.924491, 35.990956, 72.883337]]
### 2
fourier: [[37.231056, 37.576223, 41.715477, 45.341848, 131.961635], [19.428722, 19.609409, 22.059918, 26.822709, 27.441551], [25.810565, 31.719304, 32.548374, 32.772156, 38.881251], [14.133456, 14.147849, 15.285401, 15.526281, 18.235309], [22.372342, 22.822095, 23.625052, 32.340656, 42.665664], [18.075893, 18.190939, 21.204024, 21.762398, 63.412398], [23.683645, 23.740102, 25.503386, 27.951013, 130.448505], [36.593160, 38.617608, 39.669146, 39.770581, 235.022267], [37.599529, 38.731055, 40.463224, 42.217410, 178.163787], [10.610531, 11.066155, 11.110132, 12.040716, 51.646317], [14.694700, 15.531121, 17.871021, 18.875268, 129.739802], [40.299629, 43.672006, 46.643462, 47.992874, 171.638168]]
### 4
fourier: [[28.435729, 28.605489, 30.155117, 30.172602, 178.628911], [63.563418, 69.695769, 70.369735, 75.098449, 271.673827], [35.577407, 35.818826, 39.879295, 43.152495, 60.911344], [16.534652, 17.517187, 18.375273, 20.021329, 66.557148], [15.260956, 16.167138, 17.881691, 19.426473, 20.726775], [29.955948, 31.709937, 32.019849, 34.177551, 104.785079], [66.510286, 73.589964, 74.504216, 75.080017, 334.756058], [10.753259, 11.085823, 12.653926, 14.656277, 142.520956], [20.772916, 23.333210, 23.565331, 23.668371, 133.918408], [14.183081, 14.405427, 14.983333, 18.420158, 82.363983], [10.276939, 10.984099, 11.042730, 14.661189, 61.838068], [55.146717, 56.888300, 59.052341, 62.687406, 220.171229]]
### 6
fourier: [[48.720311, 53.123669, 54.077117, 58.083114, 180.887300], [16.951647, 17.873082, 17.952554, 19.275712, 106.657530], [70.063878, 76.009575, 77.767645, 81.449157, 312.941946], [68.700739, 76.011077, 78.288634, 78.357257, 299.022442], [23.263543, 25.739938, 26.739915, 28.580397, 50.917623], [7.057221, 7.296426, 7.905824, 8.334807, 79.745203], [28.885842, 28.945324, 29.077931, 29.691854, 169.715056], [73.245990, 81.398228, 83.505672, 87.317382, 308.079504], [33.897951, 37.828072, 38.387026, 39.027429, 130.302675], [69.362310, 75.551064, 77.922180, 81.143965, 310.437146], [49.669214, 55.471797, 57.578503, 60.048431, 154.328682], [49.212048, 54.281331, 56.200144, 58.178111, 202.859494]]
### 8
fourier: [[10.388433, 10.694961, 10.851616, 11.082239, 23.989136], [3.464726, 3.703700, 3.742736, 5.256864, 38.614858], [88.535271, 96.145029, 98.745823, 103.729877, 428.685458], [19.382467, 21.757472, 21.827036, 22.762855, 123.510408], [12.112886, 13.449372, 13.628365, 14.306700, 29.513822], [7.342687, 7.495260, 7.763869, 7.877405, 57.172130], [116.891380, 130.111716, 134.074193, 140.980538, 503.523036], [42.259753, 43.373248, 45.163659, 48.026379, 195.351760], [16.568464, 17.098596, 18.118899, 18.466803, 19.421115], [10.657687, 11.434677, 12.003732, 12.444590, 18.811684], [56.531504, 58.726074, 60.323793, 63.796593, 270.149419], [73.598822, 79.725537, 81.870246, 86.597706, 315.057577]]
### 10
fourier: [[16.689781, 16.921382, 18.023055, 18.533353, 84.361273], [8.591499, 8.830970, 9.895766, 10.361941, 14.438819], [27.515798, 29.768242, 31.208818, 32.899638, 105.441916], [103.151256, 111.653151, 115.867018, 122.417505, 454.451346], [91.392538, 99.260079, 103.287374, 109.234667, 394.115627], [22.189669, 23.464076, 24.563503, 26.058113, 108.470969], [84.399024, 91.788745, 95.796266, 101.005048, 350.356346], [47.002050, 51.827913, 53.966208, 56.006898, 189.100173], [1.696561, 1.721611, 1.836957, 2.053820, 37.776603], [118.746546, 129.421948, 134.482657, 141.763790, 528.438480], [31.572131, 34.337113, 35.719789, 37.622217, 130.087145], [124.544469, 135.845587, 141.152828, 148.489514, 551.390431]]
### 12
fourier: [[3.785942, 4.043144, 4.184210, 4.458533, 25.143969], [8.849609, 9.252837, 9.599596, 10.183240, 48.520143], [143.848836, 153.319057, 160.372507, 169.801413, 631.578788], [62.304185, 67.388339, 70.346932, 74.118500, 260.797319], [208.550228, 224.020698, 233.885761, 247.500158, 924.509160], [42.021006, 45.533246, 47.481252, 50.203643, 150.723437], [98.777870, 106.006939, 110.959625, 117.380195, 421.781039], [2.117654, 2.403639, 2.467854, 2.480100, 30.907284], [121.180423, 130.372599, 136.506412, 144.304042, 530.109000], [141.422391, 151.679495, 158.526512, 167.835286, 614.758176], [50.585935, 54.481767, 57.019475, 60.307859, 199.529112], [145.527961, 156.892704, 163.932600, 173.185494, 630.709075]]
### 14
fourier: [[232.766774, 249.722900, 261.273051, 276.435411, 1004.635418]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6832972168922424, "train_acc": 0.565, "val_loss": 0.6947471499443054, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6771510243415833, "train_acc": 0.565, "val_loss": 0.6621208786964417, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6440483033657074, "train_acc": 0.565, "val_loss": 0.546269416809082, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.559055894613266, "train_acc": 0.49, "val_loss": 0.6111209988594055, "val_acc": 0.54}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5996720492839813, "train_acc": 0.57, "val_loss": 0.6334325671195984, "val_acc": 0.56}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5752752423286438, "train_acc": 0.66, "val_loss": 0.5864608287811279, "val_acc": 0.62}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4893242120742798, "train_acc": 0.765, "val_loss": 0.34481489658355713, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3996643126010895, "train_acc": 0.82, "val_loss": 0.33535081148147583, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3852517753839493, "train_acc": 0.855, "val_loss": 0.4753713309764862, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4919617027044296, "train_acc": 0.8, "val_loss": 0.47668129205703735, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.46308211982250214, "train_acc": 0.795, "val_loss": 0.4168461561203003, "val_acc": 0.8}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6947471499443054, "final_val_loss": 0.546269416809082, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6111209988594055, "final_val_loss": 0.4168461561203003, "initial_val_acc": 0.54, "final_val_acc": 0.8, "best_val_acc": 0.88, "best_epoch": 6}, "improvement": 0.33999999999999997, "first_improvement_epoch": 2}}
|
21
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.74, "improved_accuracy": 0.9, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2350, "learning_rate": 0.011050813646392666, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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## Activation Signature
### 0
fourier: [[21.150123, 22.788587, 24.140311, 24.347697, 27.322577], [13.210255, 13.528155, 14.942507, 15.132382, 16.257550], [22.272535, 23.112068, 24.876787, 26.369409, 138.334386], [26.579481, 27.502956, 29.769395, 30.059777, 92.123552], [23.190479, 23.588799, 23.628093, 24.251610, 26.250612], [15.456009, 16.039656, 19.251795, 20.666088, 95.495270], [20.077378, 22.874432, 23.372897, 26.145431, 34.259349], [12.118609, 13.080365, 13.289789, 13.994455, 16.777390]]
### 2
fourier: [[10.346321, 10.663638, 12.953277, 14.087950, 57.823089], [8.644345, 9.428686, 9.986959, 10.590964, 29.807486], [12.098595, 12.245143, 12.426411, 13.054808, 42.448952], [9.780074, 9.840320, 9.841933, 11.125526, 50.488775], [8.249825, 8.522683, 8.725355, 9.507725, 44.806384], [5.737212, 6.007333, 6.221260, 7.438315, 34.100195], [9.724281, 9.912812, 9.962929, 10.752417, 43.713386], [11.542883, 11.648840, 11.856053, 11.962714, 14.684487]]
### 4
fourier: [[1.380177, 1.556189, 1.692212, 1.755707, 1.998552], [8.206149, 8.214737, 8.751692, 10.640819, 12.792301], [4.259305, 4.440220, 4.863705, 6.182782, 42.242243], [4.706156, 4.744035, 5.021479, 5.878894, 6.742243], [4.060407, 4.276879, 4.344627, 5.656376, 24.793207], [2.628476, 3.000794, 3.499441, 3.800947, 49.657374], [4.552944, 4.750192, 4.916893, 5.230441, 12.729912], [4.533515, 4.657783, 5.259733, 5.961773, 6.734466]]
### 6
fourier: [[5.160955, 5.204673, 6.029300, 6.619624, 7.130540], [3.561318, 4.577689, 5.261011, 5.345520, 8.148585], [1.862133, 1.869663, 2.181977, 2.389798, 23.774418], [6.714138, 7.236082, 8.043510, 8.929298, 9.032883], [5.283881, 5.792984, 6.470606, 6.856526, 12.188515], [0.491271, 0.511021, 0.513477, 0.618362, 39.691466], [0.885119, 0.896382, 0.897004, 1.064779, 16.380043], [4.245401, 4.324364, 5.210891, 5.694578, 6.259900]]
### 8
fourier: [[2.265143, 2.374057, 2.536255, 2.684596, 2.730535], [3.336758, 3.585919, 3.839525, 3.853938, 30.071479], [1.620455, 1.837018, 1.919122, 1.959961, 55.579559], [8.958275, 9.567787, 10.162366, 10.342977, 16.065534], [7.045038, 7.381955, 7.836238, 8.025213, 25.275113], [4.558215, 4.720666, 4.987536, 5.123391, 28.961945], [4.355005, 4.546643, 4.802595, 4.962379, 47.813587], [4.110831, 4.440226, 4.749113, 4.771887, 27.227722]]
### 10
fourier: [[4.529755, 4.766478, 5.009141, 5.025086, 43.719286], [8.594295, 8.878356, 9.142434, 9.334630, 31.776493], [3.629080, 3.688429, 3.699247, 3.876900, 33.312429], [3.791532, 3.985606, 4.137427, 4.208103, 59.074049], [1.268611, 1.286799, 1.338017, 1.410282, 41.375079], [4.184152, 4.371024, 4.383218, 4.597306, 82.711449], [6.855588, 7.051822, 7.325998, 7.419420, 29.035490], [4.494400, 4.682042, 4.945809, 4.981747, 53.333098]]
### 12
fourier: [[7.828102, 7.990782, 8.150375, 8.429516, 99.392378]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[21.150123, 22.788587, 24.140311, 24.347697, 27.322577], [13.210255, 13.528155, 14.942507, 15.132382, 16.257550], [22.272535, 23.112068, 24.876787, 26.369409, 138.334386], [26.579481, 27.502956, 29.769395, 30.059777, 92.123552], [23.190479, 23.588799, 23.628093, 24.251610, 26.250612], [15.456009, 16.039656, 19.251795, 20.666088, 95.495270], [20.077378, 22.874432, 23.372897, 26.145431, 34.259349], [12.118609, 13.080365, 13.289789, 13.994455, 16.777390]]
### 2
fourier: [[10.346321, 10.663638, 12.953277, 14.087950, 57.823089], [8.644345, 9.428686, 9.986959, 10.590964, 29.807486], [12.098595, 12.245143, 12.426411, 13.054808, 42.448952], [9.780074, 9.840320, 9.841933, 11.125526, 50.488775], [8.249825, 8.522683, 8.725355, 9.507725, 44.806384], [5.737212, 6.007333, 6.221260, 7.438315, 34.100195], [9.724281, 9.912812, 9.962929, 10.752417, 43.713386], [11.542883, 11.648840, 11.856053, 11.962714, 14.684487]]
### 4
fourier: [[1.380177, 1.556189, 1.692212, 1.755707, 1.998552], [8.206149, 8.214737, 8.751692, 10.640819, 12.792301], [4.259305, 4.440220, 4.863705, 6.182782, 42.242243], [4.706156, 4.744035, 5.021479, 5.878894, 6.742243], [4.060407, 4.276879, 4.344627, 5.656376, 24.793207], [2.628476, 3.000794, 3.499441, 3.800947, 49.657374], [4.552944, 4.750192, 4.916893, 5.230441, 12.729912], [4.533515, 4.657783, 5.259733, 5.961773, 6.734466]]
### 6
fourier: [[5.160955, 5.204673, 6.029300, 6.619624, 7.130540], [3.561318, 4.577689, 5.261011, 5.345520, 8.148585], [1.862133, 1.869663, 2.181977, 2.389798, 23.774418], [6.714138, 7.236082, 8.043510, 8.929298, 9.032883], [5.283881, 5.792984, 6.470606, 6.856526, 12.188515], [0.491271, 0.511021, 0.513477, 0.618362, 39.691466], [0.885119, 0.896382, 0.897004, 1.064779, 16.380043], [4.245401, 4.324364, 5.210891, 5.694578, 6.259900]]
### 8
fourier: [[2.265143, 2.374057, 2.536255, 2.684596, 2.730535], [3.336758, 3.585919, 3.839525, 3.853938, 30.071479], [1.620455, 1.837018, 1.919122, 1.959961, 55.579559], [8.958275, 9.567787, 10.162366, 10.342977, 16.065534], [7.045038, 7.381955, 7.836238, 8.025213, 25.275113], [4.558215, 4.720666, 4.987536, 5.123391, 28.961945], [4.355005, 4.546643, 4.802595, 4.962379, 47.813587], [4.110831, 4.440226, 4.749113, 4.771887, 27.227722]]
### 10
fourier: [[4.529755, 4.766478, 5.009141, 5.025086, 43.719286], [8.594295, 8.878356, 9.142434, 9.334630, 31.776493], [3.629080, 3.688429, 3.699247, 3.876900, 33.312429], [3.791532, 3.985606, 4.137427, 4.208103, 59.074049], [1.268611, 1.286799, 1.338017, 1.410282, 41.375079], [4.184152, 4.371024, 4.383218, 4.597306, 82.711449], [6.855588, 7.051822, 7.325998, 7.419420, 29.035490], [4.494400, 4.682042, 4.945809, 4.981747, 53.333098]]
### 12
fourier: [[7.828102, 7.990782, 8.150375, 8.429516, 99.392378]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.684446781873703, "train_acc": 0.57, "val_loss": 0.694151759147644, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6753398180007935, "train_acc": 0.57, "val_loss": 0.6781149506568909, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6678642332553864, "train_acc": 0.57, "val_loss": 0.649756908416748, "val_acc": 0.74}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6470188498497009, "train_acc": 0.69, "val_loss": 0.6001229286193848, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6102085411548615, "train_acc": 0.755, "val_loss": 0.5378434658050537, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.562833309173584, "train_acc": 0.75, "val_loss": 0.4885958731174469, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5473048985004425, "train_acc": 0.765, "val_loss": 0.45420852303504944, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5063943266868591, "train_acc": 0.825, "val_loss": 0.45412498712539673, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4785793572664261, "train_acc": 0.83, "val_loss": 0.41645699739456177, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.47297999262809753, "train_acc": 0.835, "val_loss": 0.3514348566532135, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.40723903477191925, "train_acc": 0.845, "val_loss": 0.32470405101776123, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.40676797926425934, "train_acc": 0.85, "val_loss": 0.321544885635376, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.38796237111091614, "train_acc": 0.835, "val_loss": 0.3154650926589966, "val_acc": 0.84}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.694151759147644, "final_val_loss": 0.649756908416748, "initial_val_acc": 0.5, "final_val_acc": 0.74, "best_val_acc": 0.74}, "improved_stage": {"initial_val_loss": 0.6001229286193848, "final_val_loss": 0.3154650926589966, "initial_val_acc": 0.8, "final_val_acc": 0.84, "best_val_acc": 0.9, "best_epoch": 10}, "improvement": 0.16000000000000003, "first_improvement_epoch": 2}}
|
22
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.54, "improved_accuracy": 0.86, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7000, "learning_rate": 0.025272621911807264, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[19.554755, 19.998390, 21.797117, 23.882478, 197.617134], [13.744478, 14.465451, 16.482793, 17.331065, 107.223589], [21.279106, 21.611900, 23.181735, 23.481623, 55.809760], [16.231808, 16.467282, 16.611351, 18.641677, 106.438576], [22.223016, 25.759191, 28.130810, 29.667723, 64.555131], [27.640912, 28.537503, 31.471612, 35.467930, 111.698904], [27.397628, 28.333867, 28.710542, 30.684944, 90.732336], [13.060657, 14.421425, 15.097851, 15.932107, 38.670591]]
### 2
fourier: [[20.525657, 22.651761, 24.699279, 27.946845, 50.328840], [12.834003, 15.199940, 17.108433, 17.670709, 123.531085], [5.777881, 5.812527, 5.813503, 6.630920, 56.736278], [13.436103, 14.331353, 14.864830, 18.154256, 41.151478], [15.799905, 16.247115, 20.112746, 22.493413, 76.069072], [25.035430, 26.472748, 30.544423, 34.475196, 84.970997], [12.023947, 12.193578, 13.381446, 16.617374, 17.695370], [16.377131, 18.039842, 22.151541, 22.650444, 96.676632]]
### 4
fourier: [[12.773160, 14.176396, 17.129984, 17.321357, 17.674615], [35.346229, 37.542155, 48.170555, 50.170555, 150.995845], [9.708235, 9.809324, 12.436824, 12.856101, 39.131240], [36.380077, 39.279297, 50.908935, 53.953788, 163.120964], [10.388478, 10.879295, 11.950357, 13.443954, 14.338946], [9.926883, 10.347629, 11.818818, 13.684892, 24.051546], [9.350495, 11.105571, 13.019006, 14.878358, 33.449225], [11.163267, 13.163227, 14.442138, 15.431907, 28.734803]]
### 6
fourier: [[24.335112, 26.303056, 32.649943, 34.564117, 81.736346], [9.480316, 10.336156, 11.032177, 11.406493, 29.187807], [38.592880, 40.537255, 50.530615, 51.850764, 109.991228], [35.009872, 35.241425, 42.770528, 42.955732, 55.157655], [9.759813, 10.281718, 11.595887, 11.808315, 48.553497], [11.478318, 12.574833, 13.829087, 14.009411, 51.583618], [24.880811, 26.694369, 32.274907, 33.279572, 51.612535], [6.388852, 6.763677, 7.952981, 8.991368, 17.961743]]
### 8
fourier: [[38.879585, 42.170911, 48.143359, 53.260460, 109.131069], [32.955201, 35.391715, 40.881978, 44.451981, 62.205278], [23.964651, 25.257977, 29.374193, 31.446561, 44.519530], [47.366728, 50.557336, 58.744908, 63.895098, 119.245347], [16.758542, 20.998162, 22.228365, 24.537685, 24.766705], [17.254194, 18.720019, 21.428855, 22.426515, 27.095008], [29.911449, 32.028357, 37.203791, 40.697110, 69.731704], [23.498894, 25.257566, 28.710548, 31.326972, 59.516758]]
### 10
fourier: [[14.203410, 16.456443, 17.904142, 21.847288, 70.758533], [54.758287, 61.694499, 68.128116, 80.395189, 204.871183], [4.730047, 5.175208, 5.296506, 6.972849, 21.509245], [6.924165, 7.021407, 7.562839, 10.357200, 10.664488], [70.662869, 79.623901, 87.549105, 103.455324, 223.406252], [23.720191, 25.851045, 28.657678, 33.377918, 44.768755], [49.131336, 54.935875, 60.777622, 71.273500, 135.292084], [5.812908, 6.716388, 7.544275, 8.927195, 23.197029]]
### 12
fourier: [[48.576697, 55.292644, 60.216526, 73.465627, 148.717451]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[19.554755, 19.998390, 21.797117, 23.882478, 197.617134], [13.744478, 14.465451, 16.482793, 17.331065, 107.223589], [21.279106, 21.611900, 23.181735, 23.481623, 55.809760], [16.231808, 16.467282, 16.611351, 18.641677, 106.438576], [22.223016, 25.759191, 28.130810, 29.667723, 64.555131], [27.640912, 28.537503, 31.471612, 35.467930, 111.698904], [27.397628, 28.333867, 28.710542, 30.684944, 90.732336], [13.060657, 14.421425, 15.097851, 15.932107, 38.670591]]
### 2
fourier: [[20.525657, 22.651761, 24.699279, 27.946845, 50.328840], [12.834003, 15.199940, 17.108433, 17.670709, 123.531085], [5.777881, 5.812527, 5.813503, 6.630920, 56.736278], [13.436103, 14.331353, 14.864830, 18.154256, 41.151478], [15.799905, 16.247115, 20.112746, 22.493413, 76.069072], [25.035430, 26.472748, 30.544423, 34.475196, 84.970997], [12.023947, 12.193578, 13.381446, 16.617374, 17.695370], [16.377131, 18.039842, 22.151541, 22.650444, 96.676632]]
### 4
fourier: [[12.773160, 14.176396, 17.129984, 17.321357, 17.674615], [35.346229, 37.542155, 48.170555, 50.170555, 150.995845], [9.708235, 9.809324, 12.436824, 12.856101, 39.131240], [36.380077, 39.279297, 50.908935, 53.953788, 163.120964], [10.388478, 10.879295, 11.950357, 13.443954, 14.338946], [9.926883, 10.347629, 11.818818, 13.684892, 24.051546], [9.350495, 11.105571, 13.019006, 14.878358, 33.449225], [11.163267, 13.163227, 14.442138, 15.431907, 28.734803]]
### 6
fourier: [[24.335112, 26.303056, 32.649943, 34.564117, 81.736346], [9.480316, 10.336156, 11.032177, 11.406493, 29.187807], [38.592880, 40.537255, 50.530615, 51.850764, 109.991228], [35.009872, 35.241425, 42.770528, 42.955732, 55.157655], [9.759813, 10.281718, 11.595887, 11.808315, 48.553497], [11.478318, 12.574833, 13.829087, 14.009411, 51.583618], [24.880811, 26.694369, 32.274907, 33.279572, 51.612535], [6.388852, 6.763677, 7.952981, 8.991368, 17.961743]]
### 8
fourier: [[38.879585, 42.170911, 48.143359, 53.260460, 109.131069], [32.955201, 35.391715, 40.881978, 44.451981, 62.205278], [23.964651, 25.257977, 29.374193, 31.446561, 44.519530], [47.366728, 50.557336, 58.744908, 63.895098, 119.245347], [16.758542, 20.998162, 22.228365, 24.537685, 24.766705], [17.254194, 18.720019, 21.428855, 22.426515, 27.095008], [29.911449, 32.028357, 37.203791, 40.697110, 69.731704], [23.498894, 25.257566, 28.710548, 31.326972, 59.516758]]
### 10
fourier: [[14.203410, 16.456443, 17.904142, 21.847288, 70.758533], [54.758287, 61.694499, 68.128116, 80.395189, 204.871183], [4.730047, 5.175208, 5.296506, 6.972849, 21.509245], [6.924165, 7.021407, 7.562839, 10.357200, 10.664488], [70.662869, 79.623901, 87.549105, 103.455324, 223.406252], [23.720191, 25.851045, 28.657678, 33.377918, 44.768755], [49.131336, 54.935875, 60.777622, 71.273500, 135.292084], [5.812908, 6.716388, 7.544275, 8.927195, 23.197029]]
### 12
fourier: [[48.576697, 55.292644, 60.216526, 73.465627, 148.717451]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.0951, -0.261851, -0.309169, -0.319824, 0.07551], [0.063697, -0.229799, 0.290471, 0.275869, 0.137546], [-0.313811, -0.026554, -0.131725, 0.317696, 0.526278], [0.159574, -0.336046, -0.347696, -0.11276, 0.076476], [0.460323, 0.342926, -0.523602, -0.202046, -0.194804], [0.490281, 0.019084, -0.05899, -0.071757, 0.596899], [-0.298862, 0.049843, 0.176587, 0.547325, -0.664885], [0.273803, 0.118941, -0.373138, -0.083276, -0.044313]], "network.0.bias": [-0.361713, 0.162863, 0.003818, 0.104905, -0.147733, 0.137123, 0.566674, 0.025535], "network.2.weight": [[0.160022, 0.117747, 0.120444, -0.101412, 0.117608, 0.596576, -0.179904, 0.076245], [-0.191228, 0.19036, 0.405156, -0.34826, 0.103351, 0.353745, 0.163578, -0.19802], [0.485564, -0.23405, -0.007583, 0.458272, 0.035991, 0.004331, -0.211186, -0.335947], [0.236019, 0.267227, -0.132938, -0.059608, 0.084316, -0.170617, 0.454257, -0.441179], [-0.232033, -0.156189, 0.416981, -0.349131, -0.024669, 0.436764, -0.155358, -0.182564], [-0.084075, 0.339869, 0.359195, -0.241953, 0.229454, 0.399215, -0.551551, -0.063126], [0.15917, 0.304305, 0.325812, 0.284474, -0.200503, 0.15013, -0.254201, 0.078726], [0.257967, -0.026294, 0.537716, -0.01467, 0.317426, 0.376963, -0.095485, -0.021834]], "network.2.bias": [-0.200708, 0.180808, -0.060053, -0.063113, 0.327216, 0.401929, -0.375961, 0.301864], "network.4.weight": [[-0.404856, 0.258929, -0.066286, 0.179636, 0.116507, -0.108703, -0.533577, -0.100918], [0.166353, 0.218449, -0.298714, -0.322123, 0.477344, 0.56436, 0.15461, 0.388864], [-0.264276, 0.038213, 0.09501, 0.101398, -0.032913, -0.061806, -0.173952, -0.051274], [0.391348, 0.420687, 0.305509, -0.277498, 0.422213, 0.444263, 0.387332, 0.253099], [0.211784, 0.078639, -0.62194, 0.394328, -0.309836, -0.178934, -0.291837, -0.019955], [-0.34634, 0.052556, -0.028064, 0.153292, -0.412693, 0.261437, -0.23243, -0.019606], [-0.222653, 0.213097, -0.411393, 0.097777, -0.270388, -0.121278, -0.599183, 0.248204], [-0.184341, 0.112577, -0.629067, 0.297275, 0.197239, -0.388048, -0.270386, 0.083866]], "network.4.bias": [0.260949, 0.045724, -0.17292, 0.090961, 0.082824, -0.063836, 0.354289, 0.276929], "network.6.weight": [[-0.148611, 0.599421, 0.129632, 0.05253, -0.173837, 0.054258, 0.002928, -0.002394], [0.250875, -0.075449, -0.286974, 0.039969, 0.267549, -0.262151, 0.318379, 0.536723], [-0.542326, 0.252459, -0.452842, 0.569253, -0.520241, -0.277565, -0.148697, 0.007943], [-0.29149, 0.471509, -0.057168, 0.110013, -0.367961, -0.421567, -0.63821, -0.553434], [0.154786, -0.187604, 0.154288, 0.162366, 0.35539, 0.095676, 0.560463, 0.301371], [0.310047, -0.150953, -0.394241, 0.112387, 0.517033, -0.571883, 0.33791, 0.681325], [-0.404653, 0.37583, -0.066854, 0.156474, 0.13517, -0.227874, -0.307263, -0.205083], [0.227925, 0.187573, -0.144406, -0.350342, -0.290306, 0.165219, 0.097759, -0.196407]], "network.6.bias": [-0.097952, -0.07904, 0.080165, 0.220904, 0.137871, 0.031085, -0.058021, 0.126119], "network.8.weight": [[0.301553, -0.187218, 0.156311, 0.613435, -0.555357, -0.052116, 0.223143, -0.24622], [-0.180375, -0.204073, 0.55494, 0.130905, 0.065345, -0.5406, 0.432433, 0.00211], [0.015639, -0.209772, 0.310817, 0.0417, -0.266732, -0.191286, 0.292072, -0.161487], [0.336056, -0.35713, 0.556987, 0.450059, -0.327181, -0.369141, 0.035721, 0.163187], [-0.027372, 0.130851, -0.035239, -0.316943, 0.432513, 0.613908, 0.008961, 0.175875], [-0.310977, -0.553844, 0.422036, 0.191318, 0.199431, -0.223735, 0.021109, -0.531791], [0.421393, -0.269448, 0.162097, 0.04782, -0.16847, -0.190272, 0.38559, -0.268012], [0.056249, -0.119122, 0.061511, 0.252055, -0.514972, 0.010597, 0.389417, -0.503802]], "network.8.bias": [0.236405, -0.088458, 0.047075, 0.173256, -0.084079, -0.04988, 0.045296, 0.216192], "network.10.weight": [[0.431811, 0.0006, -0.026713, -0.03723, 0.075747, 0.124117, 0.191392, -0.200716], [0.352634, 0.353973, 0.141968, 0.54782, -0.227525, 0.02289, 0.129882, 0.188465], [-0.305322, -0.259204, 0.257004, -0.133259, -0.176264, 0.300618, 0.064075, 0.329061], [-0.272844, 0.542876, 0.185834, 0.19576, 0.14777, -0.006152, -0.179294, -0.208927], [0.559411, 0.373755, 0.235281, 0.505587, -0.284057, 0.353775, 0.031546, 0.483386], [0.121943, -0.276715, -0.205645, -0.035174, 0.269669, -0.294486, -0.255017, -0.112177], [-0.015604, -0.120969, 0.267963, 0.572417, -0.262473, 0.201656, 0.448647, 0.443491], [0.332335, -0.184468, 0.236369, -0.383212, 0.003165, 0.119438, 0.097161, -0.287113]], "network.10.bias": [0.139115, 0.222641, 0.123052, -0.22254, -0.132019, 0.161446, -0.250976, 0.009005], "network.12.weight": [[-0.092001, -0.317609, 0.138209, -0.241523, -0.342304, 0.137348, -0.139486, 0.04908]], "network.12.bias": [0.361659]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7330611348152161, "train_acc": 0.43, "val_loss": 0.7064446806907654, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7078726887702942, "train_acc": 0.43, "val_loss": 0.6922540068626404, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.686089813709259, "train_acc": 0.495, "val_loss": 0.6802430748939514, "val_acc": 0.54}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6532252430915833, "train_acc": 0.57, "val_loss": 0.65950608253479, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6749464273452759, "train_acc": 0.49, "val_loss": 0.6173398494720459, "val_acc": 0.54}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.612359344959259, "train_acc": 0.585, "val_loss": 0.518419086933136, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5390437841415405, "train_acc": 0.785, "val_loss": 0.42390501499176025, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.45436419546604156, "train_acc": 0.785, "val_loss": 0.3841697573661804, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.43755780160427094, "train_acc": 0.795, "val_loss": 0.3629125952720642, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.41238801181316376, "train_acc": 0.82, "val_loss": 0.347332239151001, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3853403329849243, "train_acc": 0.835, "val_loss": 0.33778876066207886, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.48733365535736084, "train_acc": 0.815, "val_loss": 0.3320717215538025, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.34495943784713745, "train_acc": 0.855, "val_loss": 0.3817616403102875, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3881974518299103, "train_acc": 0.81, "val_loss": 0.46800100803375244, "val_acc": 0.78}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7064446806907654, "final_val_loss": 0.65950608253479, "initial_val_acc": 0.46, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6173398494720459, "final_val_loss": 0.46800100803375244, "initial_val_acc": 0.54, "final_val_acc": 0.78, "best_val_acc": 0.86, "best_epoch": 8}, "improvement": 0.31999999999999995, "first_improvement_epoch": 3}}
|
23
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.54, "improved_accuracy": 0.82, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5499, "learning_rate": 0.08342720727555446, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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## Activation Signature
### 0
fourier: [[25.481774, 27.314510, 27.459423, 33.301135, 68.492541], [52.740653, 60.352309, 61.413016, 67.209854, 194.356948], [32.721195, 36.027329, 38.288681, 40.536164, 81.431876], [21.202100, 21.824869, 23.002947, 28.558130, 178.847821], [23.066092, 24.423567, 30.728443, 30.839193, 182.987940], [46.047736, 48.514080, 51.115902, 58.431633, 231.735076], [37.837534, 38.420391, 38.705680, 41.580796, 49.301896], [33.630290, 33.924110, 37.966802, 43.502118, 70.389447], [29.559261, 32.794779, 33.752991, 37.295302, 86.238455], [31.371907, 38.632478, 38.923198, 38.994700, 166.953091], [27.733644, 27.884183, 28.501080, 32.040163, 248.084550], [35.966998, 36.466799, 41.584089, 46.237641, 266.318022]]
### 2
fourier: [[5.616430, 5.839326, 7.017827, 7.877587, 113.265711], [28.434390, 32.833757, 33.941121, 38.901730, 73.207716], [24.026674, 24.090382, 24.528493, 24.641511, 120.897623], [24.577655, 29.986777, 32.617066, 34.383265, 34.947041], [14.609694, 16.527954, 16.695634, 16.988280, 130.352928], [26.551362, 26.746701, 32.296433, 36.028825, 249.052923], [18.543638, 21.098464, 25.853201, 28.234014, 31.073375], [25.314405, 25.748147, 25.940088, 31.617579, 294.096484], [11.289354, 11.808363, 12.614063, 13.122257, 158.199545], [21.662696, 22.186918, 24.422694, 24.994385, 198.080670], [26.074248, 27.691966, 29.791493, 30.761317, 48.393994], [36.289878, 37.079709, 38.036482, 39.883637, 398.654409]]
### 4
fourier: [[40.465641, 44.087615, 51.121364, 60.727398, 106.987043], [17.849840, 20.500506, 21.821214, 26.322968, 135.394696], [20.300465, 20.545939, 24.079345, 26.721353, 31.878598], [22.406956, 25.497332, 26.139466, 30.856192, 213.448843], [9.714811, 10.005776, 10.165634, 10.256415, 102.126038], [7.344499, 7.470484, 8.321953, 8.674852, 38.335945], [39.956333, 46.138638, 52.579519, 61.507684, 61.986623], [23.078320, 25.721628, 26.193123, 31.797113, 217.450230], [16.411173, 16.589968, 18.865387, 22.222455, 96.117545], [13.717333, 14.179709, 15.279674, 17.491988, 120.307534], [8.241079, 8.275144, 8.792285, 9.424802, 69.297901], [18.147474, 19.301720, 21.881206, 25.979413, 56.757994]]
### 6
fourier: [[30.971239, 32.746457, 39.083994, 45.621704, 127.835117], [18.818099, 19.573086, 22.827842, 26.377876, 30.953016], [40.173814, 43.298780, 51.873062, 60.706131, 182.714334], [24.629392, 27.866502, 32.977790, 38.602868, 101.922367], [31.726962, 37.150738, 43.380116, 51.075877, 106.405521], [23.678964, 24.779092, 29.202043, 33.017480, 39.007610], [19.950231, 22.632133, 26.807511, 31.278163, 66.988845], [29.301755, 29.389678, 35.335829, 41.048940, 202.569849], [27.150038, 31.896631, 37.296934, 43.631176, 119.603784], [35.801498, 40.258386, 47.516208, 55.437258, 157.786628], [6.474221, 6.758083, 6.762607, 7.392816, 8.582282], [36.683467, 42.676286, 50.164931, 58.612927, 119.453156]]
### 8
fourier: [[73.124514, 79.013217, 94.090361, 108.529779, 415.568022], [55.614220, 64.795411, 75.208226, 91.080778, 150.243945], [29.344078, 30.945351, 37.272720, 41.913352, 209.264247], [9.654161, 10.256545, 12.369940, 14.153295, 72.044676], [33.891569, 40.665724, 45.337395, 47.604319, 57.448200], [9.730537, 11.266191, 12.384557, 16.147049, 31.046133], [50.917476, 60.447999, 68.667174, 85.093975, 127.161321], [13.474089, 14.796345, 14.996510, 15.353033, 134.739706], [55.449578, 65.279197, 75.258572, 91.804025, 145.613358], [34.447090, 38.239501, 45.145665, 52.504956, 191.295972], [44.343422, 44.999703, 54.698422, 60.534410, 308.385679], [6.097347, 6.274172, 6.679416, 6.866582, 68.141110]]
### 10
fourier: [[29.222936, 33.647142, 38.445298, 47.187869, 63.617333], [44.062093, 48.256000, 56.597649, 65.681264, 226.836223], [19.241465, 20.793683, 24.469637, 28.020309, 147.936329], [24.834493, 27.502674, 32.104783, 37.561603, 154.977660], [51.179049, 59.209225, 68.092359, 83.461095, 166.553723], [14.789675, 16.638987, 19.450006, 23.011610, 86.989500], [6.882585, 7.131495, 8.116172, 8.630462, 63.938093], [35.233533, 36.991463, 43.832232, 49.308054, 269.704906], [41.669040, 45.215412, 53.076802, 61.327347, 258.113143], [11.458576, 11.467195, 13.640606, 14.634083, 101.611369], [43.256081, 49.145176, 56.765408, 68.419230, 168.741462], [13.877110, 15.505187, 18.263379, 21.424136, 91.564729]]
### 12
fourier: [[15.774758, 17.790643, 19.685452, 20.364237, 24.812498]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[25.481774, 27.314510, 27.459423, 33.301135, 68.492541], [52.740653, 60.352309, 61.413016, 67.209854, 194.356948], [32.721195, 36.027329, 38.288681, 40.536164, 81.431876], [21.202100, 21.824869, 23.002947, 28.558130, 178.847821], [23.066092, 24.423567, 30.728443, 30.839193, 182.987940], [46.047736, 48.514080, 51.115902, 58.431633, 231.735076], [37.837534, 38.420391, 38.705680, 41.580796, 49.301896], [33.630290, 33.924110, 37.966802, 43.502118, 70.389447], [29.559261, 32.794779, 33.752991, 37.295302, 86.238455], [31.371907, 38.632478, 38.923198, 38.994700, 166.953091], [27.733644, 27.884183, 28.501080, 32.040163, 248.084550], [35.966998, 36.466799, 41.584089, 46.237641, 266.318022]]
### 2
fourier: [[5.616430, 5.839326, 7.017827, 7.877587, 113.265711], [28.434390, 32.833757, 33.941121, 38.901730, 73.207716], [24.026674, 24.090382, 24.528493, 24.641511, 120.897623], [24.577655, 29.986777, 32.617066, 34.383265, 34.947041], [14.609694, 16.527954, 16.695634, 16.988280, 130.352928], [26.551362, 26.746701, 32.296433, 36.028825, 249.052923], [18.543638, 21.098464, 25.853201, 28.234014, 31.073375], [25.314405, 25.748147, 25.940088, 31.617579, 294.096484], [11.289354, 11.808363, 12.614063, 13.122257, 158.199545], [21.662696, 22.186918, 24.422694, 24.994385, 198.080670], [26.074248, 27.691966, 29.791493, 30.761317, 48.393994], [36.289878, 37.079709, 38.036482, 39.883637, 398.654409]]
### 4
fourier: [[40.465641, 44.087615, 51.121364, 60.727398, 106.987043], [17.849840, 20.500506, 21.821214, 26.322968, 135.394696], [20.300465, 20.545939, 24.079345, 26.721353, 31.878598], [22.406956, 25.497332, 26.139466, 30.856192, 213.448843], [9.714811, 10.005776, 10.165634, 10.256415, 102.126038], [7.344499, 7.470484, 8.321953, 8.674852, 38.335945], [39.956333, 46.138638, 52.579519, 61.507684, 61.986623], [23.078320, 25.721628, 26.193123, 31.797113, 217.450230], [16.411173, 16.589968, 18.865387, 22.222455, 96.117545], [13.717333, 14.179709, 15.279674, 17.491988, 120.307534], [8.241079, 8.275144, 8.792285, 9.424802, 69.297901], [18.147474, 19.301720, 21.881206, 25.979413, 56.757994]]
### 6
fourier: [[30.971239, 32.746457, 39.083994, 45.621704, 127.835117], [18.818099, 19.573086, 22.827842, 26.377876, 30.953016], [40.173814, 43.298780, 51.873062, 60.706131, 182.714334], [24.629392, 27.866502, 32.977790, 38.602868, 101.922367], [31.726962, 37.150738, 43.380116, 51.075877, 106.405521], [23.678964, 24.779092, 29.202043, 33.017480, 39.007610], [19.950231, 22.632133, 26.807511, 31.278163, 66.988845], [29.301755, 29.389678, 35.335829, 41.048940, 202.569849], [27.150038, 31.896631, 37.296934, 43.631176, 119.603784], [35.801498, 40.258386, 47.516208, 55.437258, 157.786628], [6.474221, 6.758083, 6.762607, 7.392816, 8.582282], [36.683467, 42.676286, 50.164931, 58.612927, 119.453156]]
### 8
fourier: [[73.124514, 79.013217, 94.090361, 108.529779, 415.568022], [55.614220, 64.795411, 75.208226, 91.080778, 150.243945], [29.344078, 30.945351, 37.272720, 41.913352, 209.264247], [9.654161, 10.256545, 12.369940, 14.153295, 72.044676], [33.891569, 40.665724, 45.337395, 47.604319, 57.448200], [9.730537, 11.266191, 12.384557, 16.147049, 31.046133], [50.917476, 60.447999, 68.667174, 85.093975, 127.161321], [13.474089, 14.796345, 14.996510, 15.353033, 134.739706], [55.449578, 65.279197, 75.258572, 91.804025, 145.613358], [34.447090, 38.239501, 45.145665, 52.504956, 191.295972], [44.343422, 44.999703, 54.698422, 60.534410, 308.385679], [6.097347, 6.274172, 6.679416, 6.866582, 68.141110]]
### 10
fourier: [[29.222936, 33.647142, 38.445298, 47.187869, 63.617333], [44.062093, 48.256000, 56.597649, 65.681264, 226.836223], [19.241465, 20.793683, 24.469637, 28.020309, 147.936329], [24.834493, 27.502674, 32.104783, 37.561603, 154.977660], [51.179049, 59.209225, 68.092359, 83.461095, 166.553723], [14.789675, 16.638987, 19.450006, 23.011610, 86.989500], [6.882585, 7.131495, 8.116172, 8.630462, 63.938093], [35.233533, 36.991463, 43.832232, 49.308054, 269.704906], [41.669040, 45.215412, 53.076802, 61.327347, 258.113143], [11.458576, 11.467195, 13.640606, 14.634083, 101.611369], [43.256081, 49.145176, 56.765408, 68.419230, 168.741462], [13.877110, 15.505187, 18.263379, 21.424136, 91.564729]]
### 12
fourier: [[15.774758, 17.790643, 19.685452, 20.364237, 24.812498]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.27961, -0.809117, 0.357486, -0.155179, -0.169196], [-1.054825, 0.115143, -0.897214, 0.430194, 0.062741], [0.359807, -0.869071, 0.444445, -0.297738, 0.061631], [0.193655, 0.181801, -0.023728, 0.534325, 0.039198], [0.224255, 0.43351, 0.1431, 0.321681, 0.123413], [-0.203892, 0.5137, -0.090989, -1.573765, -0.114463], [0.281039, -0.076622, -1.06584, 0.712135, 0.025554], [-0.95037, 0.052581, -0.076973, 0.121378, 0.016374], [0.064527, -0.387197, 0.335455, -0.758223, 0.096155], [-0.734395, 0.602104, -0.179991, -0.592298, -0.203134], [-0.276406, 0.383528, 0.455967, 0.482806, 0.254554], [0.085353, -0.761945, 0.187994, -0.680683, -0.093341]], "network.0.bias": [0.160104, -0.182395, -0.134844, 0.270315, -0.17678, 0.448912, -0.004353, 0.185067, 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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6931722164154053, "train_acc": 0.48, "val_loss": 0.7590770125389099, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6931023895740509, "train_acc": 0.57, "val_loss": 0.687278151512146, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6913411021232605, "train_acc": 0.525, "val_loss": 0.639970600605011, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6397884488105774, "train_acc": 0.69, "val_loss": 0.7764183282852173, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6257938742637634, "train_acc": 0.72, "val_loss": 0.6310462355613708, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6238791346549988, "train_acc": 0.71, "val_loss": 0.5949286818504333, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5591263175010681, "train_acc": 0.81, "val_loss": 0.6710783243179321, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5094662606716156, "train_acc": 0.8, "val_loss": 0.49800705909729004, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.4869188964366913, "train_acc": 0.805, "val_loss": 0.430914968252182, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.43354472517967224, "train_acc": 0.81, "val_loss": 0.4720405340194702, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.43742066621780396, "train_acc": 0.825, "val_loss": 0.41401535272598267, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.48337461054325104, "train_acc": 0.745, "val_loss": 0.41016989946365356, "val_acc": 0.8}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7590770125389099, "final_val_loss": 0.687278151512146, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.639970600605011, "final_val_loss": 0.41016989946365356, "initial_val_acc": 0.76, "final_val_acc": 0.8, "best_val_acc": 0.82, "best_epoch": 7}, "improvement": 0.2799999999999999, "first_improvement_epoch": 1}}
|
24
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.4, "improved_accuracy": 0.94, "improvement": 0.5399999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8389, "learning_rate": 0.07569666252355549, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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## Activation Signature
### 0
fourier: [[42.961520, 45.200788, 53.555895, 56.886180, 154.932513], [34.374829, 34.994012, 35.846527, 40.270642, 43.106054], [29.219163, 30.182388, 30.392186, 32.087916, 33.244034], [34.433693, 42.891029, 43.316608, 45.388529, 263.352469], [19.179083, 20.708249, 23.954737, 28.829829, 52.970672], [13.465360, 14.739338, 15.716053, 16.169074, 139.116066], [28.849736, 30.493065, 36.660244, 38.941290, 245.253453]]
### 2
fourier: [[15.002222, 15.050612, 17.074649, 19.066438, 114.953477], [45.784939, 45.880579, 52.517643, 62.292815, 225.477395], [2.994423, 2.998035, 3.076216, 3.095927, 61.409218], [13.660901, 14.880232, 15.962203, 15.999568, 127.021304], [65.504714, 69.454781, 75.634948, 92.000818, 350.459126], [15.978946, 16.712292, 18.511516, 18.735520, 105.873674], [34.585794, 35.787776, 36.485394, 48.887257, 56.693894]]
### 4
fourier: [[41.523671, 42.818384, 47.613340, 57.821088, 228.375424], [18.358068, 19.923393, 21.267895, 26.197584, 115.778328], [69.075393, 72.492748, 79.907456, 95.614513, 344.383936], [88.212097, 92.661351, 102.318496, 121.499071, 422.830442], [57.831441, 60.929383, 67.059575, 79.899405, 293.543682], [22.219104, 22.425506, 23.512353, 26.855510, 29.428473], [64.322532, 67.956656, 74.651235, 88.909850, 292.188918]]
### 6
fourier: [[67.490355, 70.880734, 77.664234, 92.220810, 354.459382], [34.071749, 35.438136, 39.235450, 46.338478, 102.347430], [68.157286, 71.609438, 78.763774, 92.989428, 350.732094], [186.355616, 195.510817, 215.625875, 254.508250, 875.746656], [138.218789, 144.767489, 160.136418, 188.793879, 630.163928], [14.503819, 15.307950, 16.464600, 21.139517, 113.470921], [154.563140, 161.893095, 178.985716, 211.310338, 725.211057]]
### 8
fourier: [[190.029155, 198.574445, 218.342661, 257.592619, 910.161794], [66.051940, 68.900969, 75.556339, 89.656218, 344.475942], [184.149057, 192.356398, 211.648333, 249.791469, 868.330412], [52.507887, 54.783928, 60.031492, 71.507428, 293.870751], [271.115956, 282.828310, 312.378202, 366.633357, 1256.877075], [160.708080, 167.861791, 184.177849, 218.206908, 777.139067], [295.348777, 308.139534, 339.886509, 399.750941, 1391.144944]]
### 10
fourier: [[208.070956, 216.862761, 239.449952, 281.216952, 972.956298], [230.666735, 240.291932, 265.454905, 311.532166, 1056.475210], [264.862039, 276.045657, 304.805732, 357.958119, 1253.757379], [102.192473, 106.379244, 117.605747, 137.875390, 465.325208], [111.516214, 116.303528, 128.332989, 150.858026, 534.409995], [55.902450, 58.162195, 64.334429, 75.365756, 271.785520], [248.674596, 259.246600, 286.176214, 336.213624, 1168.704595]]
### 12
fourier: [[43.630409, 45.579243, 50.243279, 59.114781, 196.112751], [61.676369, 64.327692, 71.002552, 83.422622, 314.952735], [69.762426, 72.525100, 80.195650, 94.059164, 327.605247], [58.483344, 61.195876, 67.391676, 79.360970, 275.532334], [10.002988, 10.520362, 11.543989, 13.640009, 91.094140], [310.056253, 322.778760, 356.652403, 418.585226, 1463.554668], [134.712937, 140.197627, 154.958002, 181.796933, 627.966302]]
### 14
fourier: [[65.216517, 67.819548, 74.991444, 87.968966, 315.949846], [110.138637, 114.734657, 126.744422, 148.779545, 516.096839], [184.830107, 192.442961, 212.627240, 249.553800, 895.161959], [63.605939, 66.225286, 73.159830, 85.880063, 302.280820], [62.554603, 65.153076, 71.983433, 84.485031, 276.886637], [103.160192, 107.411929, 118.676974, 139.280945, 489.250664], [7.132822, 7.499082, 8.244746, 9.733268, 34.226431]]
### 16
fourier: [[78.625976, 81.936574, 90.497732, 106.244072, 346.963691]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[42.961520, 45.200788, 53.555895, 56.886180, 154.932513], [34.374829, 34.994012, 35.846527, 40.270642, 43.106054], [29.219163, 30.182388, 30.392186, 32.087916, 33.244034], [34.433693, 42.891029, 43.316608, 45.388529, 263.352469], [19.179083, 20.708249, 23.954737, 28.829829, 52.970672], [13.465360, 14.739338, 15.716053, 16.169074, 139.116066], [28.849736, 30.493065, 36.660244, 38.941290, 245.253453]]
### 2
fourier: [[15.002222, 15.050612, 17.074649, 19.066438, 114.953477], [45.784939, 45.880579, 52.517643, 62.292815, 225.477395], [2.994423, 2.998035, 3.076216, 3.095927, 61.409218], [13.660901, 14.880232, 15.962203, 15.999568, 127.021304], [65.504714, 69.454781, 75.634948, 92.000818, 350.459126], [15.978946, 16.712292, 18.511516, 18.735520, 105.873674], [34.585794, 35.787776, 36.485394, 48.887257, 56.693894]]
### 4
fourier: [[41.523671, 42.818384, 47.613340, 57.821088, 228.375424], [18.358068, 19.923393, 21.267895, 26.197584, 115.778328], [69.075393, 72.492748, 79.907456, 95.614513, 344.383936], [88.212097, 92.661351, 102.318496, 121.499071, 422.830442], [57.831441, 60.929383, 67.059575, 79.899405, 293.543682], [22.219104, 22.425506, 23.512353, 26.855510, 29.428473], [64.322532, 67.956656, 74.651235, 88.909850, 292.188918]]
### 6
fourier: [[67.490355, 70.880734, 77.664234, 92.220810, 354.459382], [34.071749, 35.438136, 39.235450, 46.338478, 102.347430], [68.157286, 71.609438, 78.763774, 92.989428, 350.732094], [186.355616, 195.510817, 215.625875, 254.508250, 875.746656], [138.218789, 144.767489, 160.136418, 188.793879, 630.163928], [14.503819, 15.307950, 16.464600, 21.139517, 113.470921], [154.563140, 161.893095, 178.985716, 211.310338, 725.211057]]
### 8
fourier: [[190.029155, 198.574445, 218.342661, 257.592619, 910.161794], [66.051940, 68.900969, 75.556339, 89.656218, 344.475942], [184.149057, 192.356398, 211.648333, 249.791469, 868.330412], [52.507887, 54.783928, 60.031492, 71.507428, 293.870751], [271.115956, 282.828310, 312.378202, 366.633357, 1256.877075], [160.708080, 167.861791, 184.177849, 218.206908, 777.139067], [295.348777, 308.139534, 339.886509, 399.750941, 1391.144944]]
### 10
fourier: [[208.070956, 216.862761, 239.449952, 281.216952, 972.956298], [230.666735, 240.291932, 265.454905, 311.532166, 1056.475210], [264.862039, 276.045657, 304.805732, 357.958119, 1253.757379], [102.192473, 106.379244, 117.605747, 137.875390, 465.325208], [111.516214, 116.303528, 128.332989, 150.858026, 534.409995], [55.902450, 58.162195, 64.334429, 75.365756, 271.785520], [248.674596, 259.246600, 286.176214, 336.213624, 1168.704595]]
### 12
fourier: [[43.630409, 45.579243, 50.243279, 59.114781, 196.112751], [61.676369, 64.327692, 71.002552, 83.422622, 314.952735], [69.762426, 72.525100, 80.195650, 94.059164, 327.605247], [58.483344, 61.195876, 67.391676, 79.360970, 275.532334], [10.002988, 10.520362, 11.543989, 13.640009, 91.094140], [310.056253, 322.778760, 356.652403, 418.585226, 1463.554668], [134.712937, 140.197627, 154.958002, 181.796933, 627.966302]]
### 14
fourier: [[65.216517, 67.819548, 74.991444, 87.968966, 315.949846], [110.138637, 114.734657, 126.744422, 148.779545, 516.096839], [184.830107, 192.442961, 212.627240, 249.553800, 895.161959], [63.605939, 66.225286, 73.159830, 85.880063, 302.280820], [62.554603, 65.153076, 71.983433, 84.485031, 276.886637], [103.160192, 107.411929, 118.676974, 139.280945, 489.250664], [7.132822, 7.499082, 8.244746, 9.733268, 34.226431]]
### 16
fourier: [[78.625976, 81.936574, 90.497732, 106.244072, 346.963691]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6877919435501099, "train_acc": 0.545, "val_loss": 0.7972649931907654, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7196812033653259, "train_acc": 0.595, "val_loss": 0.779691755771637, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6655171513557434, "train_acc": 0.595, "val_loss": 0.7219578623771667, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.7244826257228851, "train_acc": 0.525, "val_loss": 0.6970844268798828, "val_acc": 0.4}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6226457953453064, "train_acc": 0.525, "val_loss": 0.5632779598236084, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.49175332486629486, "train_acc": 0.805, "val_loss": 0.4155992865562439, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6441409289836884, "train_acc": 0.765, "val_loss": 0.3373872637748718, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.34837909042835236, "train_acc": 0.9, "val_loss": 0.3568843603134155, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4130186140537262, "train_acc": 0.825, "val_loss": 0.34574246406555176, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.42167186737060547, "train_acc": 0.82, "val_loss": 0.3067433834075928, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.407168447971344, "train_acc": 0.83, "val_loss": 0.2904369533061981, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3902276009321213, "train_acc": 0.84, "val_loss": 0.2840845286846161, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.365500271320343, "train_acc": 0.835, "val_loss": 0.29066532850265503, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7972649931907654, "final_val_loss": 0.7219578623771667, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.6970844268798828, "final_val_loss": 0.29066532850265503, "initial_val_acc": 0.4, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 5}, "improvement": 0.5399999999999999, "first_improvement_epoch": 2}}
|
25
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.86, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8046, "learning_rate": 0.037237628667654954, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[18.744416, 19.127127, 21.262769, 22.824849, 190.445287], [27.550769, 28.970740, 30.776816, 36.085365, 213.844447], [15.312473, 17.008420, 17.818022, 18.078438, 51.805373], [24.919601, 26.597942, 27.911997, 28.835788, 250.092507], [17.139820, 17.360171, 18.170957, 19.001895, 77.101305], [13.688594, 14.835056, 14.951731, 16.231899, 149.297882], [27.322953, 30.993305, 31.803918, 35.630315, 80.628012], [23.570165, 24.281417, 27.586319, 32.859869, 151.168470], [15.876874, 18.453033, 19.327924, 21.815532, 62.568430], [14.402577, 15.359742, 15.805732, 16.662828, 19.504242], [24.742611, 26.925823, 30.791924, 32.232725, 158.756608], [24.379719, 25.310523, 27.984522, 29.238053, 194.005301]]
### 2
fourier: [[7.840188, 8.006106, 8.435392, 8.701639, 52.047428], [19.726668, 22.387808, 23.391848, 25.270166, 75.422193], [15.361273, 16.762576, 20.134410, 20.392769, 21.428298], [8.193333, 8.445270, 9.428863, 10.238519, 91.955578], [7.762918, 7.863856, 7.892382, 8.358527, 83.087978], [4.327660, 4.715078, 4.883123, 5.648680, 11.775629], [7.627585, 7.642939, 7.811479, 8.120297, 95.209401], [7.491207, 7.698057, 7.985250, 8.645947, 77.145300], [9.932443, 10.560695, 11.629029, 12.325007, 140.844074], [10.887389, 11.044816, 11.143093, 11.296719, 100.182619], [15.134216, 15.398735, 19.322034, 20.712682, 95.943646], [17.209825, 18.050552, 18.924258, 20.331397, 102.185416]]
### 4
fourier: [[8.565116, 8.748182, 10.298949, 10.990795, 12.789132], [6.008127, 6.008640, 7.222436, 9.612023, 117.912994], [10.814899, 10.871066, 13.125488, 14.358191, 153.240996], [5.498418, 6.003049, 6.592322, 6.631071, 7.567410], [19.528334, 23.954439, 26.052562, 26.529377, 45.850512], [5.030571, 5.171423, 6.032078, 6.046715, 95.653085], [6.351533, 6.415128, 6.708300, 7.517422, 25.543261], [15.122819, 17.122896, 18.361724, 20.329032, 78.337245], [11.816805, 13.333101, 13.375502, 16.123278, 87.299564], [5.933635, 6.928942, 7.636652, 8.076615, 32.599845], [12.274715, 14.712681, 16.305963, 16.363692, 41.271903], [5.043546, 5.262108, 6.060874, 6.106483, 78.402310]]
### 6
fourier: [[10.339662, 11.546523, 12.320042, 14.731752, 29.070746], [8.182734, 8.296602, 9.322963, 10.472127, 145.616623], [5.518392, 5.588956, 6.031831, 7.287955, 40.739750], [4.472548, 4.632689, 5.296482, 5.385497, 31.549123], [3.368823, 3.664327, 4.372602, 5.116036, 72.727177], [18.989975, 19.947670, 21.057342, 25.961246, 105.945340], [12.643742, 13.385117, 14.295013, 17.739779, 63.314132], [1.436387, 1.461268, 1.505265, 1.511363, 45.250042], [5.339155, 6.408613, 6.573280, 7.023440, 8.805369], [7.873104, 8.473836, 8.681533, 8.876205, 131.397730], [20.054743, 20.498885, 24.994597, 25.328393, 80.746969], [5.449044, 5.472833, 6.220322, 8.141630, 96.344904]]
### 8
fourier: [[4.758384, 4.841413, 5.633896, 5.689443, 54.944529], [12.079486, 12.560300, 13.549175, 16.015019, 36.221363], [16.515859, 17.314745, 17.484224, 22.277669, 55.651109], [19.932662, 20.834671, 21.934795, 26.863976, 62.169676], [2.830422, 3.249114, 3.262794, 4.287717, 23.197004], [11.110448, 11.292186, 11.471686, 14.183762, 37.106950], [3.368495, 3.543283, 4.143407, 4.302004, 42.895661], [3.835288, 3.915199, 3.954849, 4.369710, 69.914369], [23.567927, 24.355759, 24.613200, 31.024247, 84.835897], [9.139193, 9.434862, 9.940097, 12.183274, 28.316236], [3.641859, 3.695685, 3.747755, 4.651100, 7.486005], [6.891210, 6.936798, 7.477555, 7.769557, 73.504482]]
### 10
fourier: [[7.099462, 7.471190, 8.519859, 9.279235, 49.158631], [18.772809, 21.056947, 22.950159, 26.326731, 115.504893], [11.172793, 12.188814, 13.087801, 15.294356, 54.436332], [28.042967, 30.725852, 33.269004, 38.701925, 171.332608], [5.534833, 5.819010, 5.823439, 7.558125, 36.755204], [4.801900, 4.901221, 5.483320, 5.942369, 35.711540], [5.020286, 5.037464, 5.318632, 6.559316, 33.694959], [2.030521, 2.288888, 2.363449, 2.524084, 21.927915], [8.004176, 8.231752, 8.671884, 10.335074, 32.412727], [13.587179, 14.789483, 15.991062, 18.532665, 76.528651], [0.836079, 0.845061, 0.866858, 0.949113, 11.387168], [2.838600, 2.978274, 3.305017, 3.838035, 6.497282]]
### 12
fourier: [[18.028234, 19.759636, 21.456311, 24.903550, 100.196815]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[18.744416, 19.127127, 21.262769, 22.824849, 190.445287], [27.550769, 28.970740, 30.776816, 36.085365, 213.844447], [15.312473, 17.008420, 17.818022, 18.078438, 51.805373], [24.919601, 26.597942, 27.911997, 28.835788, 250.092507], [17.139820, 17.360171, 18.170957, 19.001895, 77.101305], [13.688594, 14.835056, 14.951731, 16.231899, 149.297882], [27.322953, 30.993305, 31.803918, 35.630315, 80.628012], [23.570165, 24.281417, 27.586319, 32.859869, 151.168470], [15.876874, 18.453033, 19.327924, 21.815532, 62.568430], [14.402577, 15.359742, 15.805732, 16.662828, 19.504242], [24.742611, 26.925823, 30.791924, 32.232725, 158.756608], [24.379719, 25.310523, 27.984522, 29.238053, 194.005301]]
### 2
fourier: [[7.840188, 8.006106, 8.435392, 8.701639, 52.047428], [19.726668, 22.387808, 23.391848, 25.270166, 75.422193], [15.361273, 16.762576, 20.134410, 20.392769, 21.428298], [8.193333, 8.445270, 9.428863, 10.238519, 91.955578], [7.762918, 7.863856, 7.892382, 8.358527, 83.087978], [4.327660, 4.715078, 4.883123, 5.648680, 11.775629], [7.627585, 7.642939, 7.811479, 8.120297, 95.209401], [7.491207, 7.698057, 7.985250, 8.645947, 77.145300], [9.932443, 10.560695, 11.629029, 12.325007, 140.844074], [10.887389, 11.044816, 11.143093, 11.296719, 100.182619], [15.134216, 15.398735, 19.322034, 20.712682, 95.943646], [17.209825, 18.050552, 18.924258, 20.331397, 102.185416]]
### 4
fourier: [[8.565116, 8.748182, 10.298949, 10.990795, 12.789132], [6.008127, 6.008640, 7.222436, 9.612023, 117.912994], [10.814899, 10.871066, 13.125488, 14.358191, 153.240996], [5.498418, 6.003049, 6.592322, 6.631071, 7.567410], [19.528334, 23.954439, 26.052562, 26.529377, 45.850512], [5.030571, 5.171423, 6.032078, 6.046715, 95.653085], [6.351533, 6.415128, 6.708300, 7.517422, 25.543261], [15.122819, 17.122896, 18.361724, 20.329032, 78.337245], [11.816805, 13.333101, 13.375502, 16.123278, 87.299564], [5.933635, 6.928942, 7.636652, 8.076615, 32.599845], [12.274715, 14.712681, 16.305963, 16.363692, 41.271903], [5.043546, 5.262108, 6.060874, 6.106483, 78.402310]]
### 6
fourier: [[10.339662, 11.546523, 12.320042, 14.731752, 29.070746], [8.182734, 8.296602, 9.322963, 10.472127, 145.616623], [5.518392, 5.588956, 6.031831, 7.287955, 40.739750], [4.472548, 4.632689, 5.296482, 5.385497, 31.549123], [3.368823, 3.664327, 4.372602, 5.116036, 72.727177], [18.989975, 19.947670, 21.057342, 25.961246, 105.945340], [12.643742, 13.385117, 14.295013, 17.739779, 63.314132], [1.436387, 1.461268, 1.505265, 1.511363, 45.250042], [5.339155, 6.408613, 6.573280, 7.023440, 8.805369], [7.873104, 8.473836, 8.681533, 8.876205, 131.397730], [20.054743, 20.498885, 24.994597, 25.328393, 80.746969], [5.449044, 5.472833, 6.220322, 8.141630, 96.344904]]
### 8
fourier: [[4.758384, 4.841413, 5.633896, 5.689443, 54.944529], [12.079486, 12.560300, 13.549175, 16.015019, 36.221363], [16.515859, 17.314745, 17.484224, 22.277669, 55.651109], [19.932662, 20.834671, 21.934795, 26.863976, 62.169676], [2.830422, 3.249114, 3.262794, 4.287717, 23.197004], [11.110448, 11.292186, 11.471686, 14.183762, 37.106950], [3.368495, 3.543283, 4.143407, 4.302004, 42.895661], [3.835288, 3.915199, 3.954849, 4.369710, 69.914369], [23.567927, 24.355759, 24.613200, 31.024247, 84.835897], [9.139193, 9.434862, 9.940097, 12.183274, 28.316236], [3.641859, 3.695685, 3.747755, 4.651100, 7.486005], [6.891210, 6.936798, 7.477555, 7.769557, 73.504482]]
### 10
fourier: [[7.099462, 7.471190, 8.519859, 9.279235, 49.158631], [18.772809, 21.056947, 22.950159, 26.326731, 115.504893], [11.172793, 12.188814, 13.087801, 15.294356, 54.436332], [28.042967, 30.725852, 33.269004, 38.701925, 171.332608], [5.534833, 5.819010, 5.823439, 7.558125, 36.755204], [4.801900, 4.901221, 5.483320, 5.942369, 35.711540], [5.020286, 5.037464, 5.318632, 6.559316, 33.694959], [2.030521, 2.288888, 2.363449, 2.524084, 21.927915], [8.004176, 8.231752, 8.671884, 10.335074, 32.412727], [13.587179, 14.789483, 15.991062, 18.532665, 76.528651], [0.836079, 0.845061, 0.866858, 0.949113, 11.387168], [2.838600, 2.978274, 3.305017, 3.838035, 6.497282]]
### 12
fourier: [[18.028234, 19.759636, 21.456311, 24.903550, 100.196815]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7047218084335327, "train_acc": 0.435, "val_loss": 0.6886395215988159, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6857469081878662, "train_acc": 0.565, "val_loss": 0.6786033511161804, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6677219271659851, "train_acc": 0.565, "val_loss": 0.6515281200408936, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6588162779808044, "train_acc": 0.485, "val_loss": 0.5467000007629395, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5720091462135315, "train_acc": 0.485, "val_loss": 0.4604637920856476, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4676727056503296, "train_acc": 0.845, "val_loss": 0.4441176950931549, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.36915481090545654, "train_acc": 0.835, "val_loss": 0.5914633870124817, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3659750148653984, "train_acc": 0.84, "val_loss": 0.4930039942264557, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.34859465062618256, "train_acc": 0.845, "val_loss": 0.4254246950149536, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.33780717849731445, "train_acc": 0.855, "val_loss": 0.38398268818855286, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3016906678676605, "train_acc": 0.885, "val_loss": 0.38813599944114685, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2686019688844681, "train_acc": 0.88, "val_loss": 0.4037468731403351, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.24449627101421356, "train_acc": 0.895, "val_loss": 0.45787131786346436, "val_acc": 0.82}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6886395215988159, "final_val_loss": 0.6515281200408936, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5467000007629395, "final_val_loss": 0.45787131786346436, "initial_val_acc": 0.56, "final_val_acc": 0.82, "best_val_acc": 0.86, "best_epoch": 4}, "improvement": 0.29999999999999993, "first_improvement_epoch": 2}}
|
26
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.78, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9643, "learning_rate": 0.03525194634399117, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
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}
## Activation Signature
### 0
fourier: [[17.546984, 18.720731, 19.424458, 24.621926, 61.497256], [26.790435, 27.070710, 30.178638, 30.445761, 36.498432], [14.989713, 15.861174, 18.466947, 20.967028, 49.404733], [21.963861, 22.283428, 23.299573, 24.784769, 109.642940], [16.125102, 17.775120, 17.951827, 18.602177, 124.798470], [30.072234, 30.465476, 36.308849, 37.171041, 212.043120], [20.681146, 23.303571, 25.432100, 29.990863, 63.033103]]
### 2
fourier: [[11.091067, 11.106106, 12.223993, 12.518620, 155.157559], [14.648427, 16.590154, 17.589900, 22.348806, 82.056808], [7.848147, 8.030012, 8.130573, 12.799794, 60.620584], [15.810677, 16.587750, 16.890009, 22.081136, 117.911714], [12.444050, 13.197362, 14.490995, 14.520718, 38.948308], [11.095011, 13.094006, 13.635553, 14.197876, 20.122993], [11.944334, 12.270720, 12.683733, 14.045896, 111.788101]]
### 4
fourier: [[12.598901, 12.644559, 14.021847, 17.863219, 197.882893], [6.606862, 7.808500, 7.996961, 10.210746, 13.953279], [18.052611, 18.698655, 18.823704, 22.910840, 31.420757], [11.296524, 11.341902, 11.461127, 13.394261, 51.343258], [12.924552, 12.990068, 13.737719, 18.873374, 51.050182], [11.742804, 12.039623, 13.215550, 19.424586, 47.251447], [13.145556, 14.340787, 14.790125, 21.132914, 51.469933]]
### 6
fourier: [[3.853846, 3.856769, 4.279001, 5.827738, 59.270041], [7.522149, 9.504943, 9.639937, 13.854351, 27.901195], [12.445758, 12.798583, 14.032918, 16.246761, 47.886838], [12.281447, 15.121727, 15.670378, 22.709518, 74.248685], [7.496290, 7.595355, 7.810903, 10.082764, 28.973513], [15.034533, 18.493934, 19.146024, 27.834582, 125.959556], [5.223502, 6.144354, 6.827946, 9.198891, 52.969249]]
### 8
fourier: [[4.121460, 4.908310, 4.912319, 7.054267, 66.893360], [16.091660, 18.890497, 19.105810, 28.692046, 151.495203], [5.608789, 5.644312, 5.992663, 8.110127, 76.907988], [11.172340, 13.648389, 14.200784, 20.006234, 68.489457], [12.338397, 14.803251, 15.325673, 21.719734, 93.837058], [9.331482, 10.634204, 10.741454, 16.242182, 67.863925], [13.526124, 16.004895, 16.354153, 24.010799, 112.726593]]
### 10
fourier: [[14.995044, 15.001629, 15.196231, 24.201729, 175.301642], [16.955155, 17.033346, 17.060715, 27.242536, 202.180843], [23.394410, 23.418045, 23.618504, 37.577055, 264.536307], [9.850454, 9.898617, 9.903710, 15.830274, 116.293043], [3.609255, 3.621522, 3.702224, 5.847233, 41.263881], [13.779404, 13.834017, 13.861438, 22.116302, 150.931746], [12.433110, 12.474457, 12.515153, 19.938080, 120.265276]]
### 12
fourier: [[18.725126, 18.740625, 18.801337, 29.953418, 219.022962], [3.912046, 3.941798, 3.970517, 6.115902, 20.302354], [8.682802, 8.752661, 8.784694, 14.007816, 77.118399], [13.253705, 13.446323, 13.449791, 21.337319, 134.950868], [36.178144, 36.204904, 36.373543, 57.950471, 420.818580], [1.307363, 1.374113, 1.740282, 2.204891, 43.113546], [13.962203, 14.195269, 14.264011, 22.489465, 160.765389]]
### 14
fourier: [[26.975059, 27.209430, 27.376534, 43.368139, 306.309141], [2.787669, 2.885634, 3.052527, 4.689130, 57.414721], [19.367706, 19.432412, 19.575777, 31.128777, 259.048055], [18.073824, 18.291411, 18.404108, 29.219781, 236.544218], [22.659891, 22.873474, 22.934674, 36.545958, 260.596183], [8.504712, 8.587640, 8.624730, 13.660942, 94.794671], [9.783894, 10.026430, 10.059991, 15.686403, 127.908315]]
### 16
fourier: [[14.796064, 14.845622, 15.030680, 23.815635, 159.963175]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[17.546984, 18.720731, 19.424458, 24.621926, 61.497256], [26.790435, 27.070710, 30.178638, 30.445761, 36.498432], [14.989713, 15.861174, 18.466947, 20.967028, 49.404733], [21.963861, 22.283428, 23.299573, 24.784769, 109.642940], [16.125102, 17.775120, 17.951827, 18.602177, 124.798470], [30.072234, 30.465476, 36.308849, 37.171041, 212.043120], [20.681146, 23.303571, 25.432100, 29.990863, 63.033103]]
### 2
fourier: [[11.091067, 11.106106, 12.223993, 12.518620, 155.157559], [14.648427, 16.590154, 17.589900, 22.348806, 82.056808], [7.848147, 8.030012, 8.130573, 12.799794, 60.620584], [15.810677, 16.587750, 16.890009, 22.081136, 117.911714], [12.444050, 13.197362, 14.490995, 14.520718, 38.948308], [11.095011, 13.094006, 13.635553, 14.197876, 20.122993], [11.944334, 12.270720, 12.683733, 14.045896, 111.788101]]
### 4
fourier: [[12.598901, 12.644559, 14.021847, 17.863219, 197.882893], [6.606862, 7.808500, 7.996961, 10.210746, 13.953279], [18.052611, 18.698655, 18.823704, 22.910840, 31.420757], [11.296524, 11.341902, 11.461127, 13.394261, 51.343258], [12.924552, 12.990068, 13.737719, 18.873374, 51.050182], [11.742804, 12.039623, 13.215550, 19.424586, 47.251447], [13.145556, 14.340787, 14.790125, 21.132914, 51.469933]]
### 6
fourier: [[3.853846, 3.856769, 4.279001, 5.827738, 59.270041], [7.522149, 9.504943, 9.639937, 13.854351, 27.901195], [12.445758, 12.798583, 14.032918, 16.246761, 47.886838], [12.281447, 15.121727, 15.670378, 22.709518, 74.248685], [7.496290, 7.595355, 7.810903, 10.082764, 28.973513], [15.034533, 18.493934, 19.146024, 27.834582, 125.959556], [5.223502, 6.144354, 6.827946, 9.198891, 52.969249]]
### 8
fourier: [[4.121460, 4.908310, 4.912319, 7.054267, 66.893360], [16.091660, 18.890497, 19.105810, 28.692046, 151.495203], [5.608789, 5.644312, 5.992663, 8.110127, 76.907988], [11.172340, 13.648389, 14.200784, 20.006234, 68.489457], [12.338397, 14.803251, 15.325673, 21.719734, 93.837058], [9.331482, 10.634204, 10.741454, 16.242182, 67.863925], [13.526124, 16.004895, 16.354153, 24.010799, 112.726593]]
### 10
fourier: [[14.995044, 15.001629, 15.196231, 24.201729, 175.301642], [16.955155, 17.033346, 17.060715, 27.242536, 202.180843], [23.394410, 23.418045, 23.618504, 37.577055, 264.536307], [9.850454, 9.898617, 9.903710, 15.830274, 116.293043], [3.609255, 3.621522, 3.702224, 5.847233, 41.263881], [13.779404, 13.834017, 13.861438, 22.116302, 150.931746], [12.433110, 12.474457, 12.515153, 19.938080, 120.265276]]
### 12
fourier: [[18.725126, 18.740625, 18.801337, 29.953418, 219.022962], [3.912046, 3.941798, 3.970517, 6.115902, 20.302354], [8.682802, 8.752661, 8.784694, 14.007816, 77.118399], [13.253705, 13.446323, 13.449791, 21.337319, 134.950868], [36.178144, 36.204904, 36.373543, 57.950471, 420.818580], [1.307363, 1.374113, 1.740282, 2.204891, 43.113546], [13.962203, 14.195269, 14.264011, 22.489465, 160.765389]]
### 14
fourier: [[26.975059, 27.209430, 27.376534, 43.368139, 306.309141], [2.787669, 2.885634, 3.052527, 4.689130, 57.414721], [19.367706, 19.432412, 19.575777, 31.128777, 259.048055], [18.073824, 18.291411, 18.404108, 29.219781, 236.544218], [22.659891, 22.873474, 22.934674, 36.545958, 260.596183], [8.504712, 8.587640, 8.624730, 13.660942, 94.794671], [9.783894, 10.026430, 10.059991, 15.686403, 127.908315]]
### 16
fourier: [[14.796064, 14.845622, 15.030680, 23.815635, 159.963175]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7041871547698975, "train_acc": 0.435, "val_loss": 0.6899805665016174, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6846140623092651, "train_acc": 0.565, "val_loss": 0.677460789680481, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6784053444862366, "train_acc": 0.565, "val_loss": 0.6554296612739563, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6911176145076752, "train_acc": 0.48, "val_loss": 0.6358972191810608, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6123142838478088, "train_acc": 0.57, "val_loss": 0.4607836902141571, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5405318140983582, "train_acc": 0.75, "val_loss": 0.47082197666168213, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.48658549785614014, "train_acc": 0.775, "val_loss": 0.49199867248535156, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4678989499807358, "train_acc": 0.785, "val_loss": 0.4325363039970398, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.6086992025375366, "train_acc": 0.77, "val_loss": 0.4342648983001709, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.45862044394016266, "train_acc": 0.795, "val_loss": 0.5050939917564392, "val_acc": 0.7}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4988778829574585, "train_acc": 0.755, "val_loss": 0.5986928343772888, "val_acc": 0.64}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6899805665016174, "final_val_loss": 0.6554296612739563, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.6358972191810608, "final_val_loss": 0.5986928343772888, "initial_val_acc": 0.58, "final_val_acc": 0.64, "best_val_acc": 0.78, "best_epoch": 4}, "improvement": 0.20000000000000007, "first_improvement_epoch": 2}}
|
27
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.7, "improved_accuracy": 0.94, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9408, "learning_rate": 0.017425707360362416, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[14.259354, 16.977794, 19.561061, 22.007791, 51.550060], [24.123475, 26.570322, 26.902673, 29.444766, 30.962977], [29.551819, 34.343453, 36.372528, 39.986184, 175.942094], [27.914576, 28.710861, 29.005019, 35.633381, 57.510072], [18.168107, 21.234254, 21.388101, 23.385428, 57.451584], [30.740280, 31.859509, 37.846029, 41.881906, 217.283064], [14.889206, 15.224231, 16.597777, 19.706364, 42.067649], [26.043848, 27.244979, 33.141330, 35.152795, 79.758930], [21.147480, 23.342874, 23.504724, 26.568747, 110.204484], [23.368576, 24.404225, 24.441064, 28.031514, 63.507921], [17.543607, 17.681056, 18.964737, 20.303559, 33.401941], [14.808636, 15.628796, 15.631303, 15.810022, 31.176228]]
### 2
fourier: [[22.340546, 22.808812, 23.244783, 23.331330, 76.739537], [28.026455, 29.607231, 30.035819, 34.436018, 189.137867], [15.394697, 18.520868, 21.528905, 25.011113, 67.432219], [21.037912, 26.215407, 28.281149, 28.580549, 46.300186], [19.885683, 20.555392, 21.586094, 21.723399, 24.693994], [29.267488, 33.377649, 39.034144, 41.685237, 52.761132], [20.996657, 21.246779, 22.260621, 22.502561, 31.298161], [19.757436, 20.866735, 21.623366, 23.117131, 89.193172], [10.899118, 13.443307, 17.109523, 17.152557, 68.043539], [41.755127, 43.330066, 44.338574, 44.877667, 240.475209], [35.783730, 37.406838, 37.613835, 38.120624, 178.182880], [18.293787, 19.775621, 23.559445, 26.985337, 84.060266]]
### 4
fourier: [[20.377340, 20.568513, 21.774204, 25.131315, 155.905799], [22.314273, 22.734608, 25.989869, 27.000985, 53.769203], [33.813431, 36.326369, 36.508930, 37.891956, 155.775450], [34.622188, 35.890337, 36.777543, 37.677682, 142.213218], [20.973492, 21.032407, 21.547674, 24.918594, 45.401088], [17.470299, 17.748899, 19.436391, 20.143230, 134.383262], [39.585537, 43.265515, 44.700874, 45.677684, 184.886078], [8.915860, 9.327275, 9.400713, 9.948901, 12.409988], [20.167616, 22.748193, 24.233206, 24.755814, 65.916363], [40.701627, 41.744615, 42.751240, 43.793638, 199.268734], [24.848118, 25.741327, 28.330110, 31.119780, 69.546277], [21.878567, 22.353115, 23.475115, 27.230316, 55.785896]]
### 6
fourier: [[37.410343, 38.636397, 39.682353, 40.829260, 189.193158], [54.486941, 55.853685, 57.781023, 61.015239, 220.385363], [6.424016, 7.476722, 8.138438, 8.326976, 71.504450], [57.252247, 57.461092, 57.481268, 61.753249, 249.072296], [48.216468, 50.476417, 50.972729, 52.258684, 209.119210], [11.555596, 11.932317, 11.965464, 13.195258, 22.955409], [38.368153, 39.064876, 39.602572, 43.630964, 128.615650], [49.594043, 52.624963, 52.988516, 55.617234, 221.836928], [10.133903, 10.794950, 11.197562, 11.441223, 15.965259], [44.255653, 45.113710, 46.056154, 46.808208, 167.957847], [2.632964, 3.078282, 3.622481, 3.895857, 3.977016], [3.730606, 3.913048, 3.984897, 4.255512, 16.213007]]
### 8
fourier: [[3.781749, 4.003433, 4.334425, 4.399997, 48.147548], [8.973414, 10.278732, 10.446167, 11.435026, 19.420728], [64.510755, 64.753223, 65.149564, 68.494663, 264.144953], [35.286758, 35.772875, 36.403124, 39.697621, 138.015397], [63.299312, 64.449502, 65.470611, 65.892030, 301.699410], [26.800772, 26.807855, 28.280906, 30.200548, 72.604677], [28.398228, 28.677379, 29.859832, 32.319678, 91.247967], [10.167069, 10.432555, 11.155201, 11.265071, 75.416783], [61.548467, 61.619712, 62.305708, 64.736618, 236.300720], [68.538161, 70.596593, 71.177385, 74.006966, 298.630413], [19.990191, 20.201900, 21.450295, 23.136867, 68.414706], [94.860576, 96.660736, 96.670984, 101.881770, 386.497721]]
### 10
fourier: [[17.463655, 17.805954, 18.090247, 19.117196, 46.449213], [29.068549, 29.159215, 29.238675, 30.899122, 100.135729], [15.906489, 16.068790, 17.006603, 18.051311, 80.468747], [22.667214, 22.865251, 23.274954, 24.696520, 81.035346], [119.371412, 120.402128, 120.950217, 126.047900, 492.503603], [25.819108, 26.256623, 26.605523, 28.390891, 91.303372], [94.869287, 95.770500, 95.788418, 99.509033, 395.183679], [32.323969, 33.018391, 34.507009, 36.147330, 107.624290], [27.586034, 27.912192, 28.994074, 30.556156, 86.840946], [33.531032, 33.642778, 34.575927, 35.321541, 134.702840], [12.976628, 13.041385, 13.243090, 14.038480, 67.351248], [126.861370, 127.687868, 128.712831, 131.372020, 531.774362]]
### 12
fourier: [[108.011896, 109.721945, 111.867842, 115.162917, 457.638348]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[14.259354, 16.977794, 19.561061, 22.007791, 51.550060], [24.123475, 26.570322, 26.902673, 29.444766, 30.962977], [29.551819, 34.343453, 36.372528, 39.986184, 175.942094], [27.914576, 28.710861, 29.005019, 35.633381, 57.510072], [18.168107, 21.234254, 21.388101, 23.385428, 57.451584], [30.740280, 31.859509, 37.846029, 41.881906, 217.283064], [14.889206, 15.224231, 16.597777, 19.706364, 42.067649], [26.043848, 27.244979, 33.141330, 35.152795, 79.758930], [21.147480, 23.342874, 23.504724, 26.568747, 110.204484], [23.368576, 24.404225, 24.441064, 28.031514, 63.507921], [17.543607, 17.681056, 18.964737, 20.303559, 33.401941], [14.808636, 15.628796, 15.631303, 15.810022, 31.176228]]
### 2
fourier: [[22.340546, 22.808812, 23.244783, 23.331330, 76.739537], [28.026455, 29.607231, 30.035819, 34.436018, 189.137867], [15.394697, 18.520868, 21.528905, 25.011113, 67.432219], [21.037912, 26.215407, 28.281149, 28.580549, 46.300186], [19.885683, 20.555392, 21.586094, 21.723399, 24.693994], [29.267488, 33.377649, 39.034144, 41.685237, 52.761132], [20.996657, 21.246779, 22.260621, 22.502561, 31.298161], [19.757436, 20.866735, 21.623366, 23.117131, 89.193172], [10.899118, 13.443307, 17.109523, 17.152557, 68.043539], [41.755127, 43.330066, 44.338574, 44.877667, 240.475209], [35.783730, 37.406838, 37.613835, 38.120624, 178.182880], [18.293787, 19.775621, 23.559445, 26.985337, 84.060266]]
### 4
fourier: [[20.377340, 20.568513, 21.774204, 25.131315, 155.905799], [22.314273, 22.734608, 25.989869, 27.000985, 53.769203], [33.813431, 36.326369, 36.508930, 37.891956, 155.775450], [34.622188, 35.890337, 36.777543, 37.677682, 142.213218], [20.973492, 21.032407, 21.547674, 24.918594, 45.401088], [17.470299, 17.748899, 19.436391, 20.143230, 134.383262], [39.585537, 43.265515, 44.700874, 45.677684, 184.886078], [8.915860, 9.327275, 9.400713, 9.948901, 12.409988], [20.167616, 22.748193, 24.233206, 24.755814, 65.916363], [40.701627, 41.744615, 42.751240, 43.793638, 199.268734], [24.848118, 25.741327, 28.330110, 31.119780, 69.546277], [21.878567, 22.353115, 23.475115, 27.230316, 55.785896]]
### 6
fourier: [[37.410343, 38.636397, 39.682353, 40.829260, 189.193158], [54.486941, 55.853685, 57.781023, 61.015239, 220.385363], [6.424016, 7.476722, 8.138438, 8.326976, 71.504450], [57.252247, 57.461092, 57.481268, 61.753249, 249.072296], [48.216468, 50.476417, 50.972729, 52.258684, 209.119210], [11.555596, 11.932317, 11.965464, 13.195258, 22.955409], [38.368153, 39.064876, 39.602572, 43.630964, 128.615650], [49.594043, 52.624963, 52.988516, 55.617234, 221.836928], [10.133903, 10.794950, 11.197562, 11.441223, 15.965259], [44.255653, 45.113710, 46.056154, 46.808208, 167.957847], [2.632964, 3.078282, 3.622481, 3.895857, 3.977016], [3.730606, 3.913048, 3.984897, 4.255512, 16.213007]]
### 8
fourier: [[3.781749, 4.003433, 4.334425, 4.399997, 48.147548], [8.973414, 10.278732, 10.446167, 11.435026, 19.420728], [64.510755, 64.753223, 65.149564, 68.494663, 264.144953], [35.286758, 35.772875, 36.403124, 39.697621, 138.015397], [63.299312, 64.449502, 65.470611, 65.892030, 301.699410], [26.800772, 26.807855, 28.280906, 30.200548, 72.604677], [28.398228, 28.677379, 29.859832, 32.319678, 91.247967], [10.167069, 10.432555, 11.155201, 11.265071, 75.416783], [61.548467, 61.619712, 62.305708, 64.736618, 236.300720], [68.538161, 70.596593, 71.177385, 74.006966, 298.630413], [19.990191, 20.201900, 21.450295, 23.136867, 68.414706], [94.860576, 96.660736, 96.670984, 101.881770, 386.497721]]
### 10
fourier: [[17.463655, 17.805954, 18.090247, 19.117196, 46.449213], [29.068549, 29.159215, 29.238675, 30.899122, 100.135729], [15.906489, 16.068790, 17.006603, 18.051311, 80.468747], [22.667214, 22.865251, 23.274954, 24.696520, 81.035346], [119.371412, 120.402128, 120.950217, 126.047900, 492.503603], [25.819108, 26.256623, 26.605523, 28.390891, 91.303372], [94.869287, 95.770500, 95.788418, 99.509033, 395.183679], [32.323969, 33.018391, 34.507009, 36.147330, 107.624290], [27.586034, 27.912192, 28.994074, 30.556156, 86.840946], [33.531032, 33.642778, 34.575927, 35.321541, 134.702840], [12.976628, 13.041385, 13.243090, 14.038480, 67.351248], [126.861370, 127.687868, 128.712831, 131.372020, 531.774362]]
### 12
fourier: [[108.011896, 109.721945, 111.867842, 115.162917, 457.638348]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6855311095714569, "train_acc": 0.57, "val_loss": 0.6949798464775085, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6777544617652893, "train_acc": 0.57, "val_loss": 0.6721199750900269, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6523303687572479, "train_acc": 0.63, "val_loss": 0.6023010611534119, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6975792348384857, "train_acc": 0.635, "val_loss": 0.5727818012237549, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5907924175262451, "train_acc": 0.685, "val_loss": 0.5702970623970032, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5925978124141693, "train_acc": 0.605, "val_loss": 0.49459800124168396, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5064965039491653, "train_acc": 0.685, "val_loss": 0.42996230721473694, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4181474298238754, "train_acc": 0.745, "val_loss": 0.38055524230003357, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4118724763393402, "train_acc": 0.78, "val_loss": 0.27858567237854004, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.36442364752292633, "train_acc": 0.825, "val_loss": 0.21667896211147308, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.28595350682735443, "train_acc": 0.9, "val_loss": 0.1957448571920395, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2641194015741348, "train_acc": 0.915, "val_loss": 0.15154661238193512, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.21855702251195908, "train_acc": 0.915, "val_loss": 0.20230866968631744, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6949798464775085, "final_val_loss": 0.6023010611534119, "initial_val_acc": 0.5, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.5727818012237549, "final_val_loss": 0.20230866968631744, "initial_val_acc": 0.66, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 9}, "improvement": 0.24, "first_improvement_epoch": 2}}
|
28
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.88, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1496, "learning_rate": 0.08248469519525602, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[31.348429, 35.532223, 35.606449, 40.282845, 138.597998], [16.924262, 17.094502, 18.270776, 18.669282, 80.097232], [5.140407, 5.205261, 5.605504, 5.889740, 66.660109], [15.674249, 17.401606, 19.990636, 20.413887, 49.826985], [20.901523, 21.282537, 22.526024, 23.704688, 26.137858], [7.793036, 8.165724, 9.042090, 10.114162, 50.832250], [28.239354, 34.558475, 35.064773, 38.063559, 180.380010], [13.090733, 13.237504, 18.471777, 20.826778, 22.365901]]
### 2
fourier: [[7.396606, 8.098339, 8.135584, 11.509458, 102.393694], [8.026553, 8.064679, 8.225628, 11.952704, 21.381566], [5.754058, 6.711955, 7.148875, 8.105198, 23.548168], [16.909938, 19.319788, 20.784536, 21.383729, 26.303373], [26.246760, 27.067686, 27.480353, 27.554457, 35.653463], [3.579094, 3.806040, 3.832614, 4.584735, 50.864611], [16.156846, 16.904452, 18.336519, 21.896508, 27.587667], [14.422639, 15.255066, 15.278729, 17.670521, 18.418581]]
### 4
fourier: [[18.666610, 23.464723, 24.360455, 26.454794, 65.959707], [17.855254, 19.505069, 20.126365, 22.953916, 37.158689], [23.271284, 27.009979, 28.681056, 31.029555, 45.160865], [9.110929, 12.180572, 13.657576, 14.139828, 54.466834], [16.855077, 19.746396, 21.990459, 23.135756, 27.793086], [9.336775, 13.725073, 13.941947, 14.668275, 62.190837], [12.479783, 12.914574, 14.190917, 16.210739, 16.281509], [14.566157, 14.866603, 16.331236, 17.312448, 50.011734]]
### 6
fourier: [[21.181548, 27.258510, 27.762648, 34.975697, 50.087482], [21.412626, 23.799452, 24.393273, 28.587948, 30.480993], [11.089190, 11.582588, 13.835929, 14.384517, 16.854869], [33.416073, 39.537819, 41.204723, 51.096547, 123.395588], [30.305704, 37.873766, 38.911536, 48.933970, 137.961897], [18.481372, 20.671975, 22.311953, 27.277730, 57.930949], [30.112335, 33.735025, 35.518484, 43.678541, 50.303401], [1.927154, 1.943698, 1.968343, 2.818651, 27.794463]]
### 8
fourier: [[27.722668, 33.706857, 34.697756, 44.678199, 159.807992], [25.749364, 30.913161, 31.827323, 41.221971, 131.837761], [27.834764, 33.868660, 34.796216, 44.701427, 80.377272], [19.030531, 22.607640, 23.236156, 28.843773, 54.684249], [2.199868, 2.239204, 2.355872, 2.456672, 31.106974], [29.987934, 34.867747, 35.372059, 43.646542, 56.528655], [41.197119, 48.356483, 50.153494, 63.330202, 157.742760], [34.267350, 41.242677, 42.422924, 54.063999, 76.317266]]
### 10
fourier: [[31.143979, 36.449258, 37.900667, 49.158399, 142.347140], [40.852690, 48.924060, 50.073233, 65.973204, 220.939555], [17.538425, 17.667897, 17.672831, 17.709401, 21.402990], [21.191053, 24.332832, 24.350293, 32.890651, 111.718708], [41.977631, 50.499092, 51.508483, 68.029600, 219.779518], [29.994506, 35.363127, 36.243005, 47.784015, 94.841940], [31.012249, 35.570068, 37.197670, 47.504478, 84.978583], [53.640322, 63.721216, 65.388248, 85.941449, 256.527088]]
### 12
fourier: [[15.199044, 19.015062, 19.021354, 25.734252, 98.204426], [13.970287, 17.013592, 17.533331, 22.232218, 86.440696], [23.081367, 28.177182, 28.738387, 37.544247, 116.832368], [10.487317, 12.240476, 12.427055, 14.017293, 127.085880], [25.917780, 31.137850, 31.361568, 41.270167, 190.044752], [7.541701, 7.543801, 8.298451, 9.935820, 55.095110], [9.872301, 9.936507, 10.045069, 10.324263, 12.606625], [62.805781, 75.075076, 77.451422, 100.632210, 325.775441]]
### 14
fourier: [[24.086305, 28.477194, 29.660344, 38.420352, 99.416191]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[31.348429, 35.532223, 35.606449, 40.282845, 138.597998], [16.924262, 17.094502, 18.270776, 18.669282, 80.097232], [5.140407, 5.205261, 5.605504, 5.889740, 66.660109], [15.674249, 17.401606, 19.990636, 20.413887, 49.826985], [20.901523, 21.282537, 22.526024, 23.704688, 26.137858], [7.793036, 8.165724, 9.042090, 10.114162, 50.832250], [28.239354, 34.558475, 35.064773, 38.063559, 180.380010], [13.090733, 13.237504, 18.471777, 20.826778, 22.365901]]
### 2
fourier: [[7.396606, 8.098339, 8.135584, 11.509458, 102.393694], [8.026553, 8.064679, 8.225628, 11.952704, 21.381566], [5.754058, 6.711955, 7.148875, 8.105198, 23.548168], [16.909938, 19.319788, 20.784536, 21.383729, 26.303373], [26.246760, 27.067686, 27.480353, 27.554457, 35.653463], [3.579094, 3.806040, 3.832614, 4.584735, 50.864611], [16.156846, 16.904452, 18.336519, 21.896508, 27.587667], [14.422639, 15.255066, 15.278729, 17.670521, 18.418581]]
### 4
fourier: [[18.666610, 23.464723, 24.360455, 26.454794, 65.959707], [17.855254, 19.505069, 20.126365, 22.953916, 37.158689], [23.271284, 27.009979, 28.681056, 31.029555, 45.160865], [9.110929, 12.180572, 13.657576, 14.139828, 54.466834], [16.855077, 19.746396, 21.990459, 23.135756, 27.793086], [9.336775, 13.725073, 13.941947, 14.668275, 62.190837], [12.479783, 12.914574, 14.190917, 16.210739, 16.281509], [14.566157, 14.866603, 16.331236, 17.312448, 50.011734]]
### 6
fourier: [[21.181548, 27.258510, 27.762648, 34.975697, 50.087482], [21.412626, 23.799452, 24.393273, 28.587948, 30.480993], [11.089190, 11.582588, 13.835929, 14.384517, 16.854869], [33.416073, 39.537819, 41.204723, 51.096547, 123.395588], [30.305704, 37.873766, 38.911536, 48.933970, 137.961897], [18.481372, 20.671975, 22.311953, 27.277730, 57.930949], [30.112335, 33.735025, 35.518484, 43.678541, 50.303401], [1.927154, 1.943698, 1.968343, 2.818651, 27.794463]]
### 8
fourier: [[27.722668, 33.706857, 34.697756, 44.678199, 159.807992], [25.749364, 30.913161, 31.827323, 41.221971, 131.837761], [27.834764, 33.868660, 34.796216, 44.701427, 80.377272], [19.030531, 22.607640, 23.236156, 28.843773, 54.684249], [2.199868, 2.239204, 2.355872, 2.456672, 31.106974], [29.987934, 34.867747, 35.372059, 43.646542, 56.528655], [41.197119, 48.356483, 50.153494, 63.330202, 157.742760], [34.267350, 41.242677, 42.422924, 54.063999, 76.317266]]
### 10
fourier: [[31.143979, 36.449258, 37.900667, 49.158399, 142.347140], [40.852690, 48.924060, 50.073233, 65.973204, 220.939555], [17.538425, 17.667897, 17.672831, 17.709401, 21.402990], [21.191053, 24.332832, 24.350293, 32.890651, 111.718708], [41.977631, 50.499092, 51.508483, 68.029600, 219.779518], [29.994506, 35.363127, 36.243005, 47.784015, 94.841940], [31.012249, 35.570068, 37.197670, 47.504478, 84.978583], [53.640322, 63.721216, 65.388248, 85.941449, 256.527088]]
### 12
fourier: [[15.199044, 19.015062, 19.021354, 25.734252, 98.204426], [13.970287, 17.013592, 17.533331, 22.232218, 86.440696], [23.081367, 28.177182, 28.738387, 37.544247, 116.832368], [10.487317, 12.240476, 12.427055, 14.017293, 127.085880], [25.917780, 31.137850, 31.361568, 41.270167, 190.044752], [7.541701, 7.543801, 8.298451, 9.935820, 55.095110], [9.872301, 9.936507, 10.045069, 10.324263, 12.606625], [62.805781, 75.075076, 77.451422, 100.632210, 325.775441]]
### 14
fourier: [[24.086305, 28.477194, 29.660344, 38.420352, 99.416191]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.489459, -0.011608, 0.131165, 0.03406, 0.652334], [-0.485742, -0.143355, 0.301063, -0.118503, -0.134116], [-0.067876, 0.070571, -0.115344, -0.107863, 0.05411], [-0.055676, -0.087135, 0.373718, 0.279279, -0.496335], [-0.222753, 0.196697, -0.244584, 0.1245, -0.38785], [-0.113449, -0.026146, -0.025784, -0.196538, -0.01307], [-0.416412, 0.05799, -0.179723, -0.1252, -0.632276], [-0.391708, 0.428874, -0.073056, -0.12994, -0.136252]], "network.0.bias": [-0.19955, -0.233619, -0.379284, 0.014291, 0.350629, 0.115466, -0.167978, 0.202956], "network.2.weight": [[0.248956, 0.131389, -0.490553, 0.308139, -0.016261, -0.735454, 0.081431, -0.020838], [-0.224555, -0.061931, -0.526578, -0.249175, 0.185992, -0.037946, -0.001068, 0.144716], [-0.164318, 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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6964567005634308, "train_acc": 0.52, "val_loss": 0.723283588886261, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6876251697540283, "train_acc": 0.57, "val_loss": 0.6961595416069031, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6790114045143127, "train_acc": 0.57, "val_loss": 0.6720460653305054, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6431213617324829, "train_acc": 0.575, "val_loss": 0.3475928008556366, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4792628586292267, "train_acc": 0.83, "val_loss": 0.31121426820755005, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.39574578404426575, "train_acc": 0.855, "val_loss": 0.33336955308914185, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.38080592453479767, "train_acc": 0.855, "val_loss": 0.3687486946582794, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4343644678592682, "train_acc": 0.795, "val_loss": 0.426135778427124, "val_acc": 0.78}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.723283588886261, "final_val_loss": 0.6720460653305054, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.3475928008556366, "final_val_loss": 0.426135778427124, "initial_val_acc": 0.88, "final_val_acc": 0.78, "best_val_acc": 0.88, "best_epoch": 3}, "improvement": 0.36, "first_improvement_epoch": 2}}
|
29
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.56, "improved_accuracy": 0.96, "improvement": 0.3999999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 9, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4009, "learning_rate": 0.03724346377980019, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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## Activation Signature
### 0
fourier: [[19.309806, 19.759046, 20.456459, 24.427045, 63.155082], [14.679131, 15.545267, 15.768584, 17.008865, 38.454365], [27.298557, 27.466258, 27.490371, 30.963514, 242.293330], [20.064855, 20.428254, 21.923588, 22.604040, 86.863848], [18.506656, 19.403230, 22.301079, 22.920790, 40.285392], [22.831149, 23.824117, 25.218257, 25.926459, 51.268864], [13.464141, 13.645806, 15.259717, 15.750336, 72.298547], [12.645753, 12.968488, 14.227900, 17.460618, 36.057790], [25.030377, 25.639326, 25.755124, 26.920707, 76.373303]]
### 2
fourier: [[14.440305, 15.368147, 20.564744, 22.192978, 116.788672], [11.639563, 11.713241, 11.929976, 12.689473, 84.527628], [11.393611, 12.121422, 12.532163, 12.536915, 49.441901], [12.727015, 12.732305, 12.794556, 13.366471, 13.754326], [9.363112, 10.094394, 10.944400, 11.425555, 73.536555], [27.388654, 27.869561, 28.391565, 34.183219, 125.735011], [20.874197, 20.932937, 21.669397, 23.137398, 126.368774], [25.915282, 26.734796, 26.914180, 27.613458, 134.029081], [16.973552, 17.401570, 20.147292, 20.774964, 22.348029]]
### 4
fourier: [[8.478636, 8.610893, 8.611447, 8.718227, 9.593688], [24.008470, 24.231783, 24.764492, 28.353599, 144.877008], [14.190166, 14.759027, 15.220842, 16.833949, 24.680428], [27.306261, 27.598061, 28.551947, 37.579089, 119.429384], [16.536911, 16.790982, 17.073026, 18.960735, 91.061231], [10.272600, 10.486565, 11.741705, 11.997831, 13.342979], [34.401474, 34.737125, 34.910506, 42.689081, 180.818326], [25.766112, 27.744764, 28.062683, 35.264132, 124.716195], [4.113345, 4.199789, 4.524365, 5.131619, 40.740210]]
### 6
fourier: [[11.805856, 12.054547, 12.610601, 15.339475, 82.277679], [11.515348, 12.290665, 12.441261, 14.591802, 56.534539], [31.379751, 31.485432, 31.661580, 38.148829, 167.971334], [38.762617, 39.136976, 40.317909, 48.111065, 233.939480], [3.443222, 3.818087, 4.157859, 4.504088, 60.842041], [15.177103, 15.296219, 15.818704, 18.838899, 47.088903], [22.080222, 22.669189, 23.204707, 27.978892, 136.477740], [6.882023, 7.406134, 7.439858, 7.649328, 23.659717], [51.182659, 51.861260, 52.032053, 63.135290, 323.782171]]
### 8
fourier: [[37.381096, 37.531011, 37.980115, 46.103622, 248.714714], [59.089398, 59.191704, 59.407095, 72.048041, 350.421704], [15.453218, 16.181724, 16.339948, 19.458490, 106.923220], [40.890654, 40.915890, 41.562898, 50.235136, 234.647026], [5.831106, 6.231734, 6.767653, 7.515538, 33.886942], [38.301247, 38.468403, 39.151530, 46.901643, 226.305717], [10.181456, 10.443205, 10.608856, 12.618713, 59.731193], [56.612075, 56.843462, 57.080589, 69.456228, 326.721987], [59.923530, 59.968020, 60.668060, 73.399075, 364.868768]]
### 10
fourier: [[74.307537, 74.379155, 74.461468, 90.628770, 418.256137], [99.896415, 100.548257, 100.586750, 121.980797, 612.280629], [42.479787, 43.058228, 43.224301, 52.261437, 277.508421], [20.902141, 21.357688, 21.519895, 25.872144, 127.534156], [75.916423, 76.473205, 76.739470, 93.030111, 448.532258], [25.536278, 25.672159, 26.015834, 31.354751, 167.916897], [23.550586, 23.775750, 24.025053, 28.807217, 175.437921], [30.138286, 30.138494, 30.668050, 37.003966, 161.456727], [65.653150, 66.378107, 66.581376, 80.533555, 397.647254]]
### 12
fourier: [[50.859203, 51.190508, 51.343367, 62.395385, 283.141182], [24.432303, 24.728338, 24.835816, 29.923620, 126.199761], [34.901754, 35.326007, 35.406342, 42.735551, 198.032232], [11.610224, 11.643865, 11.690610, 14.109047, 80.591364], [6.995412, 7.673791, 7.780140, 9.122851, 37.433745], [107.056730, 108.312275, 108.522549, 131.590795, 663.310835], [75.863794, 76.592303, 76.768092, 93.114226, 430.706821], [68.417583, 69.526747, 69.564787, 84.285809, 417.783145], [3.568767, 3.574609, 3.717685, 4.235383, 38.320252]]
### 14
fourier: [[78.526988, 80.227024, 80.451294, 97.327733, 452.590684]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[19.309806, 19.759046, 20.456459, 24.427045, 63.155082], [14.679131, 15.545267, 15.768584, 17.008865, 38.454365], [27.298557, 27.466258, 27.490371, 30.963514, 242.293330], [20.064855, 20.428254, 21.923588, 22.604040, 86.863848], [18.506656, 19.403230, 22.301079, 22.920790, 40.285392], [22.831149, 23.824117, 25.218257, 25.926459, 51.268864], [13.464141, 13.645806, 15.259717, 15.750336, 72.298547], [12.645753, 12.968488, 14.227900, 17.460618, 36.057790], [25.030377, 25.639326, 25.755124, 26.920707, 76.373303]]
### 2
fourier: [[14.440305, 15.368147, 20.564744, 22.192978, 116.788672], [11.639563, 11.713241, 11.929976, 12.689473, 84.527628], [11.393611, 12.121422, 12.532163, 12.536915, 49.441901], [12.727015, 12.732305, 12.794556, 13.366471, 13.754326], [9.363112, 10.094394, 10.944400, 11.425555, 73.536555], [27.388654, 27.869561, 28.391565, 34.183219, 125.735011], [20.874197, 20.932937, 21.669397, 23.137398, 126.368774], [25.915282, 26.734796, 26.914180, 27.613458, 134.029081], [16.973552, 17.401570, 20.147292, 20.774964, 22.348029]]
### 4
fourier: [[8.478636, 8.610893, 8.611447, 8.718227, 9.593688], [24.008470, 24.231783, 24.764492, 28.353599, 144.877008], [14.190166, 14.759027, 15.220842, 16.833949, 24.680428], [27.306261, 27.598061, 28.551947, 37.579089, 119.429384], [16.536911, 16.790982, 17.073026, 18.960735, 91.061231], [10.272600, 10.486565, 11.741705, 11.997831, 13.342979], [34.401474, 34.737125, 34.910506, 42.689081, 180.818326], [25.766112, 27.744764, 28.062683, 35.264132, 124.716195], [4.113345, 4.199789, 4.524365, 5.131619, 40.740210]]
### 6
fourier: [[11.805856, 12.054547, 12.610601, 15.339475, 82.277679], [11.515348, 12.290665, 12.441261, 14.591802, 56.534539], [31.379751, 31.485432, 31.661580, 38.148829, 167.971334], [38.762617, 39.136976, 40.317909, 48.111065, 233.939480], [3.443222, 3.818087, 4.157859, 4.504088, 60.842041], [15.177103, 15.296219, 15.818704, 18.838899, 47.088903], [22.080222, 22.669189, 23.204707, 27.978892, 136.477740], [6.882023, 7.406134, 7.439858, 7.649328, 23.659717], [51.182659, 51.861260, 52.032053, 63.135290, 323.782171]]
### 8
fourier: [[37.381096, 37.531011, 37.980115, 46.103622, 248.714714], [59.089398, 59.191704, 59.407095, 72.048041, 350.421704], [15.453218, 16.181724, 16.339948, 19.458490, 106.923220], [40.890654, 40.915890, 41.562898, 50.235136, 234.647026], [5.831106, 6.231734, 6.767653, 7.515538, 33.886942], [38.301247, 38.468403, 39.151530, 46.901643, 226.305717], [10.181456, 10.443205, 10.608856, 12.618713, 59.731193], [56.612075, 56.843462, 57.080589, 69.456228, 326.721987], [59.923530, 59.968020, 60.668060, 73.399075, 364.868768]]
### 10
fourier: [[74.307537, 74.379155, 74.461468, 90.628770, 418.256137], [99.896415, 100.548257, 100.586750, 121.980797, 612.280629], [42.479787, 43.058228, 43.224301, 52.261437, 277.508421], [20.902141, 21.357688, 21.519895, 25.872144, 127.534156], [75.916423, 76.473205, 76.739470, 93.030111, 448.532258], [25.536278, 25.672159, 26.015834, 31.354751, 167.916897], [23.550586, 23.775750, 24.025053, 28.807217, 175.437921], [30.138286, 30.138494, 30.668050, 37.003966, 161.456727], [65.653150, 66.378107, 66.581376, 80.533555, 397.647254]]
### 12
fourier: [[50.859203, 51.190508, 51.343367, 62.395385, 283.141182], [24.432303, 24.728338, 24.835816, 29.923620, 126.199761], [34.901754, 35.326007, 35.406342, 42.735551, 198.032232], [11.610224, 11.643865, 11.690610, 14.109047, 80.591364], [6.995412, 7.673791, 7.780140, 9.122851, 37.433745], [107.056730, 108.312275, 108.522549, 131.590795, 663.310835], [75.863794, 76.592303, 76.768092, 93.114226, 430.706821], [68.417583, 69.526747, 69.564787, 84.285809, 417.783145], [3.568767, 3.574609, 3.717685, 4.235383, 38.320252]]
### 14
fourier: [[78.526988, 80.227024, 80.451294, 97.327733, 452.590684]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.708947479724884, "train_acc": 0.44, "val_loss": 0.6730804443359375, "val_acc": 0.86}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6476955413818359, "train_acc": 0.8, "val_loss": 0.5615020394325256, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.576126366853714, "train_acc": 0.485, "val_loss": 0.42553001642227173, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4391455501317978, "train_acc": 0.93, "val_loss": 0.3010464608669281, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.36463692784309387, "train_acc": 0.925, "val_loss": 0.2962404191493988, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.28946653008461, "train_acc": 0.94, "val_loss": 0.2505015432834625, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.250595860183239, "train_acc": 0.945, "val_loss": 0.200551837682724, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.21206265687942505, "train_acc": 0.94, "val_loss": 0.22704902291297913, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.19778144359588623, "train_acc": 0.945, "val_loss": 0.27001819014549255, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2122844196856022, "train_acc": 0.925, "val_loss": 0.2950078248977661, "val_acc": 0.9}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6730804443359375, "final_val_loss": 0.5615020394325256, "initial_val_acc": 0.86, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.42553001642227173, "final_val_loss": 0.2950078248977661, "initial_val_acc": 0.92, "final_val_acc": 0.9, "best_val_acc": 0.96, "best_epoch": 3}, "improvement": 0.3999999999999999, "first_improvement_epoch": 1}}
|
30
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.44, "improved_accuracy": 0.86, "improvement": 0.42, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5611, "learning_rate": 0.04001692777848244, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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## Activation Signature
### 0
fourier: [[19.503415, 19.874279, 20.511879, 22.448730, 48.481319], [17.635339, 18.859211, 20.536989, 21.620823, 165.894851], [17.217692, 18.796748, 19.979543, 22.705906, 71.997336], [22.909670, 24.075444, 24.133889, 26.380803, 164.513749], [19.553989, 20.405731, 22.491933, 26.892726, 98.485831], [20.629578, 21.597679, 23.623112, 26.702675, 139.472132], [27.234458, 29.535881, 30.598307, 31.789479, 143.860400]]
### 2
fourier: [[13.111277, 13.683478, 15.412349, 22.506552, 31.799745], [7.584979, 7.624462, 9.587642, 9.983369, 13.436827], [32.639046, 34.037056, 39.146563, 39.337155, 273.958803], [25.925266, 26.028871, 26.036647, 29.337481, 189.915495], [9.495000, 9.580801, 10.914585, 12.984802, 54.188334], [18.258127, 18.771248, 18.780511, 21.138728, 71.449969], [21.096932, 21.286512, 24.030965, 24.480979, 136.694614]]
### 4
fourier: [[5.407914, 5.416023, 5.621314, 6.444018, 31.824156], [14.906655, 15.336330, 19.409480, 19.869909, 148.576696], [9.632893, 11.326032, 12.937140, 14.809250, 22.227281], [30.333537, 33.084946, 34.969209, 36.054711, 195.339997], [24.570737, 25.945166, 27.912649, 29.132823, 146.923484], [10.223373, 10.243062, 10.996419, 11.501366, 129.589146], [9.721930, 10.284085, 10.318708, 10.412795, 12.630642]]
### 6
fourier: [[15.981801, 17.206577, 18.005774, 19.440768, 72.472271], [25.927888, 28.275177, 32.955255, 34.561248, 200.568724], [14.038846, 15.269563, 17.395178, 17.460651, 48.032618], [5.733775, 5.777187, 5.854922, 7.812363, 8.537866], [15.626271, 16.980779, 19.960439, 21.447412, 128.178315], [5.823354, 5.850447, 6.402520, 8.824635, 43.844961], [15.571003, 16.999559, 19.814326, 20.881989, 108.626854]]
### 8
fourier: [[19.412232, 21.062968, 24.729020, 25.583617, 144.184560], [4.685491, 5.196501, 5.936968, 6.176539, 36.467997], [9.867236, 10.652726, 12.487009, 12.715900, 81.582545], [30.002407, 33.190437, 38.812849, 39.831533, 243.112550], [8.637318, 9.616409, 11.103557, 11.220846, 98.731295], [14.832950, 15.941009, 18.711727, 19.604208, 103.063437], [21.324145, 23.459687, 27.709208, 28.637011, 154.145199]]
### 10
fourier: [[20.356432, 22.329571, 26.538075, 27.082052, 174.145753], [19.326685, 21.488145, 25.222779, 25.330745, 120.977717], [12.218151, 13.541044, 16.073695, 16.385939, 114.274948], [18.754093, 20.955489, 24.256839, 24.461623, 100.953836], [25.685007, 28.629184, 33.504132, 33.599481, 218.428778], [8.729389, 9.621972, 11.440295, 11.470018, 101.174163], [7.617062, 8.450676, 10.169703, 10.542996, 53.445979]]
### 12
fourier: [[8.156399, 9.051648, 9.957171, 10.376791, 64.794998], [6.506425, 7.300640, 8.563105, 8.637620, 14.594473], [20.879035, 23.067872, 27.345328, 27.418631, 194.736837], [12.300376, 13.725548, 16.442858, 16.516869, 92.261174], [8.647348, 9.541451, 11.557303, 11.739212, 94.285793], [8.692234, 9.737992, 11.669061, 11.720465, 76.594225], [18.103260, 20.114854, 23.221096, 23.599615, 143.742818]]
### 14
fourier: [[20.378263, 22.525250, 26.338630, 26.766968, 146.719736]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
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## Activation Signature
### 0
fourier: [[19.503415, 19.874279, 20.511879, 22.448730, 48.481319], [17.635339, 18.859211, 20.536989, 21.620823, 165.894851], [17.217692, 18.796748, 19.979543, 22.705906, 71.997336], [22.909670, 24.075444, 24.133889, 26.380803, 164.513749], [19.553989, 20.405731, 22.491933, 26.892726, 98.485831], [20.629578, 21.597679, 23.623112, 26.702675, 139.472132], [27.234458, 29.535881, 30.598307, 31.789479, 143.860400]]
### 2
fourier: [[13.111277, 13.683478, 15.412349, 22.506552, 31.799745], [7.584979, 7.624462, 9.587642, 9.983369, 13.436827], [32.639046, 34.037056, 39.146563, 39.337155, 273.958803], [25.925266, 26.028871, 26.036647, 29.337481, 189.915495], [9.495000, 9.580801, 10.914585, 12.984802, 54.188334], [18.258127, 18.771248, 18.780511, 21.138728, 71.449969], [21.096932, 21.286512, 24.030965, 24.480979, 136.694614]]
### 4
fourier: [[5.407914, 5.416023, 5.621314, 6.444018, 31.824156], [14.906655, 15.336330, 19.409480, 19.869909, 148.576696], [9.632893, 11.326032, 12.937140, 14.809250, 22.227281], [30.333537, 33.084946, 34.969209, 36.054711, 195.339997], [24.570737, 25.945166, 27.912649, 29.132823, 146.923484], [10.223373, 10.243062, 10.996419, 11.501366, 129.589146], [9.721930, 10.284085, 10.318708, 10.412795, 12.630642]]
### 6
fourier: [[15.981801, 17.206577, 18.005774, 19.440768, 72.472271], [25.927888, 28.275177, 32.955255, 34.561248, 200.568724], [14.038846, 15.269563, 17.395178, 17.460651, 48.032618], [5.733775, 5.777187, 5.854922, 7.812363, 8.537866], [15.626271, 16.980779, 19.960439, 21.447412, 128.178315], [5.823354, 5.850447, 6.402520, 8.824635, 43.844961], [15.571003, 16.999559, 19.814326, 20.881989, 108.626854]]
### 8
fourier: [[19.412232, 21.062968, 24.729020, 25.583617, 144.184560], [4.685491, 5.196501, 5.936968, 6.176539, 36.467997], [9.867236, 10.652726, 12.487009, 12.715900, 81.582545], [30.002407, 33.190437, 38.812849, 39.831533, 243.112550], [8.637318, 9.616409, 11.103557, 11.220846, 98.731295], [14.832950, 15.941009, 18.711727, 19.604208, 103.063437], [21.324145, 23.459687, 27.709208, 28.637011, 154.145199]]
### 10
fourier: [[20.356432, 22.329571, 26.538075, 27.082052, 174.145753], [19.326685, 21.488145, 25.222779, 25.330745, 120.977717], [12.218151, 13.541044, 16.073695, 16.385939, 114.274948], [18.754093, 20.955489, 24.256839, 24.461623, 100.953836], [25.685007, 28.629184, 33.504132, 33.599481, 218.428778], [8.729389, 9.621972, 11.440295, 11.470018, 101.174163], [7.617062, 8.450676, 10.169703, 10.542996, 53.445979]]
### 12
fourier: [[8.156399, 9.051648, 9.957171, 10.376791, 64.794998], [6.506425, 7.300640, 8.563105, 8.637620, 14.594473], [20.879035, 23.067872, 27.345328, 27.418631, 194.736837], [12.300376, 13.725548, 16.442858, 16.516869, 92.261174], [8.647348, 9.541451, 11.557303, 11.739212, 94.285793], [8.692234, 9.737992, 11.669061, 11.720465, 76.594225], [18.103260, 20.114854, 23.221096, 23.599615, 143.742818]]
### 14
fourier: [[20.378263, 22.525250, 26.338630, 26.766968, 146.719736]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7294138073921204, "train_acc": 0.415, "val_loss": 0.6863645911216736, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6889341175556183, "train_acc": 0.445, "val_loss": 0.6817732453346252, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.600020170211792, "train_acc": 0.585, "val_loss": 0.5975773930549622, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.8646936416625977, "train_acc": 0.515, "val_loss": 0.4843989610671997, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4946439862251282, "train_acc": 0.795, "val_loss": 0.55621737241745, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5886312127113342, "train_acc": 0.7, "val_loss": 0.5673222541809082, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5858955681324005, "train_acc": 0.68, "val_loss": 0.490691214799881, "val_acc": 0.84}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6863645911216736, "final_val_loss": 0.5975773930549622, "initial_val_acc": 0.56, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.4843989610671997, "final_val_loss": 0.490691214799881, "initial_val_acc": 0.86, "final_val_acc": 0.84, "best_val_acc": 0.86, "best_epoch": 3}, "improvement": 0.42, "first_improvement_epoch": 2}}
|
31
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.66, "improved_accuracy": 0.9, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6350, "learning_rate": 0.021576169005123033, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[35.944003, 36.714411, 39.194353, 41.602955, 223.461590], [26.548298, 29.393412, 29.413560, 34.382509, 199.646034], [20.864985, 22.246755, 22.611148, 22.740844, 35.787416], [21.548119, 21.573270, 23.353758, 23.946898, 29.173042], [20.925287, 21.549829, 21.952401, 22.651601, 91.699312], [4.699558, 4.716960, 4.833485, 5.108431, 5.183224], [19.879487, 20.622241, 25.933117, 26.124420, 120.681373], [16.415290, 18.158688, 20.908927, 22.109290, 56.827882], [20.053570, 21.796847, 23.033479, 23.044820, 178.636396], [15.953817, 16.256517, 16.400789, 20.294051, 42.203658], [38.447779, 39.133158, 41.902184, 46.116800, 245.324199]]
### 2
fourier: [[16.878094, 17.590130, 20.104897, 22.829563, 120.592681], [7.340706, 7.465695, 8.436169, 9.865433, 56.483357], [9.917408, 10.361301, 11.973038, 12.739426, 69.365371], [14.324500, 14.820532, 16.171181, 19.126643, 72.483338], [16.447665, 17.049866, 19.430946, 19.683673, 160.141118], [13.954849, 14.049699, 18.858898, 19.253212, 37.697707], [11.825966, 12.008282, 15.973865, 17.091394, 69.240897], [17.075401, 17.252889, 17.554225, 21.055745, 66.849621], [17.678762, 18.612288, 22.358551, 23.196905, 51.349941], [13.571655, 13.794756, 16.470950, 18.949089, 19.293636], [17.074865, 17.522410, 18.548556, 24.111923, 97.073779]]
### 4
fourier: [[20.953802, 21.760780, 22.402667, 30.108094, 68.334054], [9.283967, 9.629229, 10.774017, 12.000108, 68.408337], [10.088651, 10.195473, 10.708788, 12.214271, 62.790108], [8.250714, 8.434036, 9.038340, 10.176122, 57.665386], [21.150712, 22.519752, 24.247007, 26.445443, 169.741725], [11.578486, 12.002694, 12.122659, 15.142469, 28.181510], [9.870516, 10.743732, 10.745055, 11.704823, 12.179049], [9.592263, 9.623798, 9.762749, 12.557435, 43.900960], [13.015090, 13.380708, 13.610274, 16.403434, 112.875877], [10.264741, 11.513613, 11.812642, 13.049860, 77.895526], [15.122313, 16.705902, 17.759547, 18.916845, 21.584612]]
### 6
fourier: [[6.173753, 6.399701, 6.748029, 7.458152, 33.764777], [15.463738, 16.803494, 17.006893, 20.466022, 135.924944], [16.910057, 18.195745, 18.716854, 20.795398, 132.914619], [14.359110, 14.720286, 14.973634, 18.527093, 84.817759], [17.076230, 19.137191, 19.514675, 21.121974, 148.217831], [13.368647, 13.854498, 14.009065, 16.762936, 72.354176], [1.330990, 1.405009, 1.449839, 1.599455, 47.457882], [18.206439, 18.673956, 19.216965, 22.507584, 88.591528], [6.018825, 6.197451, 6.231410, 7.823100, 22.839987], [11.344417, 13.700074, 13.905049, 14.644545, 156.956429], [11.267032, 11.360367, 12.094581, 13.308252, 97.472117]]
### 8
fourier: [[10.810820, 11.865719, 12.125626, 14.005092, 61.110114], [12.321951, 12.884228, 13.143237, 15.495029, 133.397820], [9.803840, 9.866778, 10.742468, 11.474453, 29.585663], [9.563572, 10.545713, 10.720891, 11.624971, 116.370624], [22.966887, 23.173779, 23.671289, 27.348072, 186.294141], [6.710012, 7.207118, 7.263948, 8.310272, 62.037732], [19.019347, 20.257522, 20.276659, 24.047307, 164.402571], [13.005317, 13.377420, 13.768146, 16.011121, 120.587363], [16.932545, 17.258838, 17.532974, 20.688772, 125.059369], [11.802343, 12.028806, 12.264765, 14.001068, 125.292729], [8.547948, 9.125529, 9.630004, 10.910289, 49.920655]]
### 10
fourier: [[3.395792, 3.588296, 3.725961, 3.764900, 15.585793], [29.484877, 31.734833, 32.310816, 36.466540, 277.152727], [35.257196, 37.831547, 37.876121, 43.404950, 282.998554], [24.606070, 26.427299, 26.634433, 30.271685, 186.569427], [33.567215, 35.828437, 36.106198, 40.958320, 289.828799], [29.561433, 31.830205, 32.052787, 36.463844, 281.004902], [22.026556, 22.284314, 22.693611, 25.653595, 215.302302], [22.498369, 24.230228, 24.374539, 27.893884, 180.287240], [2.697220, 2.741630, 2.772293, 2.799997, 44.302938], [16.426395, 18.161701, 18.619205, 21.050718, 140.016064], [22.774696, 24.847618, 25.138504, 28.646568, 216.439837]]
### 12
fourier: [[16.705069, 17.981222, 18.212065, 20.300786, 155.317531], [16.471603, 17.473087, 17.864609, 20.035448, 155.621439], [31.238837, 33.374311, 33.936027, 38.005958, 251.646479], [38.524960, 40.871167, 41.957977, 46.343905, 318.725285], [57.390712, 60.770337, 61.860830, 68.842588, 511.566826], [15.454624, 16.809825, 17.262092, 19.056330, 143.786609], [21.944516, 23.398606, 23.562687, 26.669561, 196.331373], [45.187717, 47.985327, 49.082837, 54.631424, 427.038133], [18.089710, 19.037168, 19.284655, 21.575828, 142.466023], [38.134145, 40.968786, 41.545164, 46.672939, 345.985308], [49.435398, 52.752069, 53.689628, 59.891193, 417.683222]]
### 14
fourier: [[53.043501, 57.109837, 58.203703, 65.356130, 523.369890]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[35.944003, 36.714411, 39.194353, 41.602955, 223.461590], [26.548298, 29.393412, 29.413560, 34.382509, 199.646034], [20.864985, 22.246755, 22.611148, 22.740844, 35.787416], [21.548119, 21.573270, 23.353758, 23.946898, 29.173042], [20.925287, 21.549829, 21.952401, 22.651601, 91.699312], [4.699558, 4.716960, 4.833485, 5.108431, 5.183224], [19.879487, 20.622241, 25.933117, 26.124420, 120.681373], [16.415290, 18.158688, 20.908927, 22.109290, 56.827882], [20.053570, 21.796847, 23.033479, 23.044820, 178.636396], [15.953817, 16.256517, 16.400789, 20.294051, 42.203658], [38.447779, 39.133158, 41.902184, 46.116800, 245.324199]]
### 2
fourier: [[16.878094, 17.590130, 20.104897, 22.829563, 120.592681], [7.340706, 7.465695, 8.436169, 9.865433, 56.483357], [9.917408, 10.361301, 11.973038, 12.739426, 69.365371], [14.324500, 14.820532, 16.171181, 19.126643, 72.483338], [16.447665, 17.049866, 19.430946, 19.683673, 160.141118], [13.954849, 14.049699, 18.858898, 19.253212, 37.697707], [11.825966, 12.008282, 15.973865, 17.091394, 69.240897], [17.075401, 17.252889, 17.554225, 21.055745, 66.849621], [17.678762, 18.612288, 22.358551, 23.196905, 51.349941], [13.571655, 13.794756, 16.470950, 18.949089, 19.293636], [17.074865, 17.522410, 18.548556, 24.111923, 97.073779]]
### 4
fourier: [[20.953802, 21.760780, 22.402667, 30.108094, 68.334054], [9.283967, 9.629229, 10.774017, 12.000108, 68.408337], [10.088651, 10.195473, 10.708788, 12.214271, 62.790108], [8.250714, 8.434036, 9.038340, 10.176122, 57.665386], [21.150712, 22.519752, 24.247007, 26.445443, 169.741725], [11.578486, 12.002694, 12.122659, 15.142469, 28.181510], [9.870516, 10.743732, 10.745055, 11.704823, 12.179049], [9.592263, 9.623798, 9.762749, 12.557435, 43.900960], [13.015090, 13.380708, 13.610274, 16.403434, 112.875877], [10.264741, 11.513613, 11.812642, 13.049860, 77.895526], [15.122313, 16.705902, 17.759547, 18.916845, 21.584612]]
### 6
fourier: [[6.173753, 6.399701, 6.748029, 7.458152, 33.764777], [15.463738, 16.803494, 17.006893, 20.466022, 135.924944], [16.910057, 18.195745, 18.716854, 20.795398, 132.914619], [14.359110, 14.720286, 14.973634, 18.527093, 84.817759], [17.076230, 19.137191, 19.514675, 21.121974, 148.217831], [13.368647, 13.854498, 14.009065, 16.762936, 72.354176], [1.330990, 1.405009, 1.449839, 1.599455, 47.457882], [18.206439, 18.673956, 19.216965, 22.507584, 88.591528], [6.018825, 6.197451, 6.231410, 7.823100, 22.839987], [11.344417, 13.700074, 13.905049, 14.644545, 156.956429], [11.267032, 11.360367, 12.094581, 13.308252, 97.472117]]
### 8
fourier: [[10.810820, 11.865719, 12.125626, 14.005092, 61.110114], [12.321951, 12.884228, 13.143237, 15.495029, 133.397820], [9.803840, 9.866778, 10.742468, 11.474453, 29.585663], [9.563572, 10.545713, 10.720891, 11.624971, 116.370624], [22.966887, 23.173779, 23.671289, 27.348072, 186.294141], [6.710012, 7.207118, 7.263948, 8.310272, 62.037732], [19.019347, 20.257522, 20.276659, 24.047307, 164.402571], [13.005317, 13.377420, 13.768146, 16.011121, 120.587363], [16.932545, 17.258838, 17.532974, 20.688772, 125.059369], [11.802343, 12.028806, 12.264765, 14.001068, 125.292729], [8.547948, 9.125529, 9.630004, 10.910289, 49.920655]]
### 10
fourier: [[3.395792, 3.588296, 3.725961, 3.764900, 15.585793], [29.484877, 31.734833, 32.310816, 36.466540, 277.152727], [35.257196, 37.831547, 37.876121, 43.404950, 282.998554], [24.606070, 26.427299, 26.634433, 30.271685, 186.569427], [33.567215, 35.828437, 36.106198, 40.958320, 289.828799], [29.561433, 31.830205, 32.052787, 36.463844, 281.004902], [22.026556, 22.284314, 22.693611, 25.653595, 215.302302], [22.498369, 24.230228, 24.374539, 27.893884, 180.287240], [2.697220, 2.741630, 2.772293, 2.799997, 44.302938], [16.426395, 18.161701, 18.619205, 21.050718, 140.016064], [22.774696, 24.847618, 25.138504, 28.646568, 216.439837]]
### 12
fourier: [[16.705069, 17.981222, 18.212065, 20.300786, 155.317531], [16.471603, 17.473087, 17.864609, 20.035448, 155.621439], [31.238837, 33.374311, 33.936027, 38.005958, 251.646479], [38.524960, 40.871167, 41.957977, 46.343905, 318.725285], [57.390712, 60.770337, 61.860830, 68.842588, 511.566826], [15.454624, 16.809825, 17.262092, 19.056330, 143.786609], [21.944516, 23.398606, 23.562687, 26.669561, 196.331373], [45.187717, 47.985327, 49.082837, 54.631424, 427.038133], [18.089710, 19.037168, 19.284655, 21.575828, 142.466023], [38.134145, 40.968786, 41.545164, 46.672939, 345.985308], [49.435398, 52.752069, 53.689628, 59.891193, 417.683222]]
### 14
fourier: [[53.043501, 57.109837, 58.203703, 65.356130, 523.369890]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6801782250404358, "train_acc": 0.595, "val_loss": 0.7071516513824463, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6693743765354156, "train_acc": 0.595, "val_loss": 0.694172203540802, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6517822742462158, "train_acc": 0.595, "val_loss": 0.6122108697891235, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5354756712913513, "train_acc": 0.79, "val_loss": 0.4339715540409088, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.3488137274980545, "train_acc": 0.85, "val_loss": 0.43159276247024536, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3009805679321289, "train_acc": 0.89, "val_loss": 0.37532952427864075, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.25785262882709503, "train_acc": 0.91, "val_loss": 0.32512471079826355, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.26976241171360016, "train_acc": 0.905, "val_loss": 0.3056461811065674, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.236580029129982, "train_acc": 0.905, "val_loss": 0.28582096099853516, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.22782828658819199, "train_acc": 0.93, "val_loss": 0.24780647456645966, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.18254919350147247, "train_acc": 0.935, "val_loss": 0.22599463164806366, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.1609622985124588, "train_acc": 0.945, "val_loss": 0.2363848090171814, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.12868088856339455, "train_acc": 0.93, "val_loss": 0.20340317487716675, "val_acc": 0.88}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7071516513824463, "final_val_loss": 0.6122108697891235, "initial_val_acc": 0.48, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.4339715540409088, "final_val_loss": 0.20340317487716675, "initial_val_acc": 0.84, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 8}, "improvement": 0.24, "first_improvement_epoch": 2}}
|
32
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 1.0, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7204, "learning_rate": 0.02394151189439362, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[21.292159, 21.377619, 21.549922, 23.286060, 59.179563], [20.721662, 21.191803, 21.384018, 23.408229, 112.468686], [24.764168, 24.867640, 25.191215, 37.430083, 136.002552], [19.959145, 20.742007, 20.975176, 21.991972, 131.214981], [13.092431, 13.778268, 14.009841, 15.717819, 18.065271], [15.943450, 15.972662, 16.259446, 16.854182, 65.108823], [15.968014, 16.789587, 19.141920, 19.489055, 116.559416], [28.974935, 33.356901, 36.307024, 36.378331, 221.271818], [7.904321, 8.239564, 8.745178, 8.919316, 30.104507], [22.380690, 24.351517, 24.829129, 24.975450, 27.427181], [13.052856, 14.184189, 15.618897, 15.905886, 88.569837], [13.536079, 14.548186, 15.718082, 18.626372, 19.030231]]
### 2
fourier: [[18.278234, 18.453459, 20.271980, 21.946477, 79.807712], [11.819061, 12.710177, 13.707065, 13.729562, 37.913877], [16.450140, 16.627282, 17.103703, 17.440671, 106.182024], [13.089692, 13.285853, 13.902601, 15.519497, 99.014947], [7.783686, 8.813368, 9.746303, 10.261471, 67.611278], [19.394841, 19.485246, 20.149854, 22.018848, 137.096390], [16.754511, 16.973468, 17.532639, 19.113065, 133.102009], [13.963051, 14.121752, 14.308223, 16.428860, 76.917732], [11.679600, 14.245542, 14.293206, 14.822838, 17.009680], [11.505852, 11.681641, 12.044334, 13.082373, 43.210453], [14.575059, 16.546239, 16.692795, 17.884366, 80.076431], [16.453359, 18.142921, 20.285419, 21.627558, 104.040357]]
### 4
fourier: [[5.711267, 5.921184, 7.229935, 8.733425, 19.186104], [15.107410, 17.510540, 17.703232, 17.863727, 148.668788], [9.042656, 9.060055, 9.569352, 9.857957, 49.912374], [19.237357, 22.859018, 24.100540, 24.680116, 110.109283], [23.963411, 25.693557, 26.947766, 27.673074, 126.091064], [18.844112, 20.710790, 20.844562, 22.216606, 120.074416], [5.999969, 6.568633, 6.790799, 7.436783, 20.158770], [24.382448, 26.709670, 26.725097, 29.095183, 152.562133], [6.792892, 7.117449, 7.918891, 8.396182, 11.147976], [6.121689, 6.125019, 7.124256, 7.138218, 7.750986], [10.184472, 11.301812, 11.422814, 13.348098, 112.873611], [7.031086, 7.116460, 8.117906, 8.219614, 8.924057]]
### 6
fourier: [[27.981684, 30.199112, 32.792260, 34.074967, 190.495938], [4.692617, 4.880621, 4.914598, 5.268004, 34.281766], [24.232728, 25.380882, 27.990006, 28.915883, 138.053188], [20.735292, 22.107825, 23.837149, 25.261094, 134.834408], [5.657232, 5.759912, 6.431775, 6.626577, 28.594557], [7.533130, 8.890320, 9.694545, 9.920108, 40.958271], [23.267040, 25.351466, 26.090972, 26.963104, 147.597005], [4.522228, 4.607389, 5.331022, 5.545256, 5.711897], [4.351675, 4.495011, 4.757493, 5.704249, 59.777517], [3.031184, 3.288584, 3.637743, 3.821198, 6.382666], [17.531702, 17.864585, 18.153663, 19.893851, 81.857990], [17.645010, 20.040974, 20.632248, 21.650749, 93.095967]]
### 8
fourier: [[7.682822, 8.002871, 9.427248, 9.512852, 30.710407], [8.440320, 8.811969, 9.874047, 10.240849, 50.730324], [29.400860, 30.883650, 34.218097, 35.381506, 198.445552], [2.681782, 2.989853, 3.502459, 3.628474, 27.521720], [30.303846, 31.430503, 34.808651, 36.382018, 194.742749], [1.568329, 1.641843, 1.711975, 1.832910, 4.227281], [7.087165, 7.143294, 8.185777, 8.595270, 46.354228], [27.924719, 28.093858, 31.858905, 32.992500, 163.426394], [3.296790, 3.934911, 3.962894, 4.041151, 30.958051], [25.265238, 26.260350, 29.776689, 30.792851, 169.869404], [10.889668, 11.069045, 12.537503, 13.035054, 44.073293], [14.810625, 14.914588, 16.442127, 17.246286, 49.503589]]
### 10
fourier: [[15.997627, 16.175205, 18.873113, 19.259605, 98.727101], [2.034557, 2.143218, 2.510422, 2.584612, 13.236588], [42.826440, 43.633128, 50.180059, 51.229596, 287.080799], [6.647111, 7.292733, 8.245239, 8.248177, 37.196823], [41.422754, 42.247654, 48.301153, 49.482278, 257.553842], [3.560730, 3.597406, 4.336523, 4.481191, 8.385548], [22.026006, 22.752083, 25.873197, 26.333269, 155.513620], [4.081244, 4.476276, 5.138149, 5.166046, 15.778826], [9.815965, 10.351482, 11.835130, 12.142572, 33.896685], [19.780495, 19.928874, 23.182850, 23.684841, 128.805634], [2.939471, 3.180582, 3.580489, 3.689009, 32.642847], [36.063443, 36.530985, 41.658469, 42.777292, 229.040454]]
### 12
fourier: [[26.635064, 27.832679, 31.689028, 32.145010, 175.137023], [61.523858, 64.660272, 73.367597, 74.350260, 392.365988], [40.743093, 43.085512, 48.452319, 49.202312, 262.962749], [6.258017, 6.713385, 7.554945, 7.704181, 49.162733], [41.927417, 44.474372, 50.007378, 50.644078, 252.695037], [11.084403, 11.588347, 13.023127, 13.300061, 75.301174], [20.426244, 21.630907, 24.509926, 24.699355, 136.961358], [26.089746, 27.599664, 31.358416, 31.577675, 155.527698], [30.576066, 32.267678, 36.274344, 36.878389, 218.375636], [22.268593, 23.271315, 26.716910, 27.051191, 155.140423], [27.303784, 28.719711, 32.605882, 33.094632, 190.226061], [51.952313, 54.589347, 62.015469, 62.762006, 317.252573]]
### 14
fourier: [[43.749483, 47.975342, 53.349878, 53.448200, 293.318958], [0.933451, 0.952946, 1.022392, 1.072907, 20.817374], [1.387610, 1.477002, 1.539425, 1.608867, 8.120250], [6.409667, 7.045106, 7.609906, 7.630094, 12.558056], [58.419626, 63.188834, 70.815050, 71.088906, 383.567352], [62.259375, 67.227519, 75.362589, 75.814290, 381.416262], [0.669146, 0.696974, 0.908246, 1.049031, 7.027301], [12.814385, 13.625987, 15.292881, 15.634862, 83.602379], [14.742669, 15.521964, 17.530231, 17.960671, 120.812877], [6.298120, 6.825077, 7.693487, 7.735146, 33.155424], [49.240364, 53.474544, 59.904717, 60.227921, 312.884732], [35.400096, 38.502363, 43.008970, 43.054031, 241.864178]]
### 16
fourier: [[60.589128, 66.901117, 73.763894, 74.086539, 374.820912]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[21.292159, 21.377619, 21.549922, 23.286060, 59.179563], [20.721662, 21.191803, 21.384018, 23.408229, 112.468686], [24.764168, 24.867640, 25.191215, 37.430083, 136.002552], [19.959145, 20.742007, 20.975176, 21.991972, 131.214981], [13.092431, 13.778268, 14.009841, 15.717819, 18.065271], [15.943450, 15.972662, 16.259446, 16.854182, 65.108823], [15.968014, 16.789587, 19.141920, 19.489055, 116.559416], [28.974935, 33.356901, 36.307024, 36.378331, 221.271818], [7.904321, 8.239564, 8.745178, 8.919316, 30.104507], [22.380690, 24.351517, 24.829129, 24.975450, 27.427181], [13.052856, 14.184189, 15.618897, 15.905886, 88.569837], [13.536079, 14.548186, 15.718082, 18.626372, 19.030231]]
### 2
fourier: [[18.278234, 18.453459, 20.271980, 21.946477, 79.807712], [11.819061, 12.710177, 13.707065, 13.729562, 37.913877], [16.450140, 16.627282, 17.103703, 17.440671, 106.182024], [13.089692, 13.285853, 13.902601, 15.519497, 99.014947], [7.783686, 8.813368, 9.746303, 10.261471, 67.611278], [19.394841, 19.485246, 20.149854, 22.018848, 137.096390], [16.754511, 16.973468, 17.532639, 19.113065, 133.102009], [13.963051, 14.121752, 14.308223, 16.428860, 76.917732], [11.679600, 14.245542, 14.293206, 14.822838, 17.009680], [11.505852, 11.681641, 12.044334, 13.082373, 43.210453], [14.575059, 16.546239, 16.692795, 17.884366, 80.076431], [16.453359, 18.142921, 20.285419, 21.627558, 104.040357]]
### 4
fourier: [[5.711267, 5.921184, 7.229935, 8.733425, 19.186104], [15.107410, 17.510540, 17.703232, 17.863727, 148.668788], [9.042656, 9.060055, 9.569352, 9.857957, 49.912374], [19.237357, 22.859018, 24.100540, 24.680116, 110.109283], [23.963411, 25.693557, 26.947766, 27.673074, 126.091064], [18.844112, 20.710790, 20.844562, 22.216606, 120.074416], [5.999969, 6.568633, 6.790799, 7.436783, 20.158770], [24.382448, 26.709670, 26.725097, 29.095183, 152.562133], [6.792892, 7.117449, 7.918891, 8.396182, 11.147976], [6.121689, 6.125019, 7.124256, 7.138218, 7.750986], [10.184472, 11.301812, 11.422814, 13.348098, 112.873611], [7.031086, 7.116460, 8.117906, 8.219614, 8.924057]]
### 6
fourier: [[27.981684, 30.199112, 32.792260, 34.074967, 190.495938], [4.692617, 4.880621, 4.914598, 5.268004, 34.281766], [24.232728, 25.380882, 27.990006, 28.915883, 138.053188], [20.735292, 22.107825, 23.837149, 25.261094, 134.834408], [5.657232, 5.759912, 6.431775, 6.626577, 28.594557], [7.533130, 8.890320, 9.694545, 9.920108, 40.958271], [23.267040, 25.351466, 26.090972, 26.963104, 147.597005], [4.522228, 4.607389, 5.331022, 5.545256, 5.711897], [4.351675, 4.495011, 4.757493, 5.704249, 59.777517], [3.031184, 3.288584, 3.637743, 3.821198, 6.382666], [17.531702, 17.864585, 18.153663, 19.893851, 81.857990], [17.645010, 20.040974, 20.632248, 21.650749, 93.095967]]
### 8
fourier: [[7.682822, 8.002871, 9.427248, 9.512852, 30.710407], [8.440320, 8.811969, 9.874047, 10.240849, 50.730324], [29.400860, 30.883650, 34.218097, 35.381506, 198.445552], [2.681782, 2.989853, 3.502459, 3.628474, 27.521720], [30.303846, 31.430503, 34.808651, 36.382018, 194.742749], [1.568329, 1.641843, 1.711975, 1.832910, 4.227281], [7.087165, 7.143294, 8.185777, 8.595270, 46.354228], [27.924719, 28.093858, 31.858905, 32.992500, 163.426394], [3.296790, 3.934911, 3.962894, 4.041151, 30.958051], [25.265238, 26.260350, 29.776689, 30.792851, 169.869404], [10.889668, 11.069045, 12.537503, 13.035054, 44.073293], [14.810625, 14.914588, 16.442127, 17.246286, 49.503589]]
### 10
fourier: [[15.997627, 16.175205, 18.873113, 19.259605, 98.727101], [2.034557, 2.143218, 2.510422, 2.584612, 13.236588], [42.826440, 43.633128, 50.180059, 51.229596, 287.080799], [6.647111, 7.292733, 8.245239, 8.248177, 37.196823], [41.422754, 42.247654, 48.301153, 49.482278, 257.553842], [3.560730, 3.597406, 4.336523, 4.481191, 8.385548], [22.026006, 22.752083, 25.873197, 26.333269, 155.513620], [4.081244, 4.476276, 5.138149, 5.166046, 15.778826], [9.815965, 10.351482, 11.835130, 12.142572, 33.896685], [19.780495, 19.928874, 23.182850, 23.684841, 128.805634], [2.939471, 3.180582, 3.580489, 3.689009, 32.642847], [36.063443, 36.530985, 41.658469, 42.777292, 229.040454]]
### 12
fourier: [[26.635064, 27.832679, 31.689028, 32.145010, 175.137023], [61.523858, 64.660272, 73.367597, 74.350260, 392.365988], [40.743093, 43.085512, 48.452319, 49.202312, 262.962749], [6.258017, 6.713385, 7.554945, 7.704181, 49.162733], [41.927417, 44.474372, 50.007378, 50.644078, 252.695037], [11.084403, 11.588347, 13.023127, 13.300061, 75.301174], [20.426244, 21.630907, 24.509926, 24.699355, 136.961358], [26.089746, 27.599664, 31.358416, 31.577675, 155.527698], [30.576066, 32.267678, 36.274344, 36.878389, 218.375636], [22.268593, 23.271315, 26.716910, 27.051191, 155.140423], [27.303784, 28.719711, 32.605882, 33.094632, 190.226061], [51.952313, 54.589347, 62.015469, 62.762006, 317.252573]]
### 14
fourier: [[43.749483, 47.975342, 53.349878, 53.448200, 293.318958], [0.933451, 0.952946, 1.022392, 1.072907, 20.817374], [1.387610, 1.477002, 1.539425, 1.608867, 8.120250], [6.409667, 7.045106, 7.609906, 7.630094, 12.558056], [58.419626, 63.188834, 70.815050, 71.088906, 383.567352], [62.259375, 67.227519, 75.362589, 75.814290, 381.416262], [0.669146, 0.696974, 0.908246, 1.049031, 7.027301], [12.814385, 13.625987, 15.292881, 15.634862, 83.602379], [14.742669, 15.521964, 17.530231, 17.960671, 120.812877], [6.298120, 6.825077, 7.693487, 7.735146, 33.155424], [49.240364, 53.474544, 59.904717, 60.227921, 312.884732], [35.400096, 38.502363, 43.008970, 43.054031, 241.864178]]
### 16
fourier: [[60.589128, 66.901117, 73.763894, 74.086539, 374.820912]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7004493176937103, "train_acc": 0.425, "val_loss": 0.6931473612785339, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6804516911506653, "train_acc": 0.575, "val_loss": 0.6667324900627136, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6163241267204285, "train_acc": 0.575, "val_loss": 0.593381404876709, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5573273301124573, "train_acc": 0.505, "val_loss": 0.42160943150520325, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4072981923818588, "train_acc": 0.635, "val_loss": 0.33129456639289856, "val_acc": 1.0}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3540439009666443, "train_acc": 0.925, "val_loss": 0.29146966338157654, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3186775892972946, "train_acc": 0.935, "val_loss": 0.24411346018314362, "val_acc": 1.0}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.31394366919994354, "train_acc": 0.93, "val_loss": 0.22116048634052277, "val_acc": 1.0}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.27778515219688416, "train_acc": 0.93, "val_loss": 0.24463093280792236, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2726180702447891, "train_acc": 0.925, "val_loss": 0.1728772670030594, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.25072839111089706, "train_acc": 0.935, "val_loss": 0.14426662027835846, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.22378511726856232, "train_acc": 0.935, "val_loss": 0.11942563951015472, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.22254880517721176, "train_acc": 0.935, "val_loss": 0.09726661443710327, "val_acc": 1.0}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6931473612785339, "final_val_loss": 0.593381404876709, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.42160943150520325, "final_val_loss": 0.09726661443710327, "initial_val_acc": 0.48, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 4}, "improvement": 0.52, "first_improvement_epoch": 2}}
|
33
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 0.88, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2716, "learning_rate": 0.09707319942813152, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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],
[
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"network.0.bias": [
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"network.2.weight": [
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## Activation Signature
### 0
fourier: [[53.619143, 53.764566, 57.880714, 70.427535, 183.403617], [53.948374, 60.155408, 61.659142, 67.183004, 100.674714], [44.207376, 47.661729, 52.222020, 57.816375, 135.782358], [22.586572, 23.297354, 25.838284, 26.207264, 188.667266], [18.506066, 18.618387, 21.324660, 25.550010, 119.817424], [54.979906, 59.416176, 67.900703, 68.600840, 496.375781], [59.020087, 59.715151, 62.369272, 66.562957, 198.769916]]
### 2
fourier: [[71.512589, 73.473301, 77.025604, 81.110335, 398.038919], [78.539996, 80.269510, 93.199087, 96.231371, 423.500406], [142.911140, 143.247807, 160.144301, 163.370531, 751.618518], [14.438461, 14.814931, 16.177263, 16.382923, 31.485330], [58.606945, 59.551564, 64.547594, 72.633769, 297.065645], [138.907223, 140.458354, 162.791707, 172.048738, 672.892776], [69.341361, 73.031908, 76.734912, 79.932161, 406.101657]]
### 4
fourier: [[8.377681, 9.331918, 9.605584, 9.738315, 63.081541], [178.412592, 184.512320, 208.462180, 210.530256, 879.822189], [66.632001, 68.198422, 79.903574, 82.780413, 313.203923], [38.031328, 41.516627, 44.301666, 44.761046, 273.934980], [169.450407, 184.486902, 191.053349, 202.654633, 965.212302], [108.821014, 110.375815, 119.491322, 121.436244, 601.639946], [274.656831, 281.755650, 326.671691, 327.209399, 1464.209817]]
### 6
fourier: [[240.715741, 255.888242, 280.381814, 287.835374, 1294.140098], [339.576895, 360.283395, 391.555559, 403.871694, 1753.570685], [66.283620, 71.377590, 77.062351, 79.362023, 381.478804], [5.836288, 6.126491, 6.896189, 7.136418, 57.419985], [234.476460, 247.364592, 268.682830, 277.718736, 1193.965485], [58.390092, 62.742455, 68.065054, 69.989287, 335.710011], [145.896362, 154.188229, 168.624348, 173.595472, 754.201077]]
### 8
fourier: [[30.976724, 32.962265, 35.604946, 36.902456, 183.424094], [181.173247, 191.887141, 207.223108, 215.000801, 939.291242], [151.025192, 160.025583, 172.480759, 179.142128, 791.412849], [134.286405, 142.284123, 153.975988, 159.478985, 720.235505], [420.467075, 446.265817, 484.991922, 500.786980, 2201.325738], [305.353735, 323.873641, 350.317647, 362.743937, 1578.006790], [136.989879, 145.183443, 156.818606, 162.579078, 711.108608]]
### 10
fourier: [[141.192113, 149.855287, 162.859446, 168.163396, 762.580794], [246.199274, 261.305407, 283.980997, 293.229613, 1230.767282], [86.035915, 91.314846, 99.238976, 102.470956, 459.785262], [16.698385, 17.722954, 19.260919, 19.888202, 93.071192], [82.351275, 87.404124, 94.988892, 98.082459, 466.980700], [237.946665, 252.546442, 274.461948, 283.400524, 1252.136407], [11.117647, 11.799797, 12.823760, 13.241401, 88.773479]]
### 12
fourier: [[165.954923, 176.570371, 189.827633, 197.576507, 797.790031], [56.412256, 60.020714, 64.527189, 67.161230, 305.189768], [146.163146, 155.512600, 167.188797, 174.013550, 693.473153], [72.822489, 77.480643, 83.298045, 86.698322, 334.088243], [82.759819, 88.053626, 94.664868, 98.529146, 404.416596], [88.736957, 94.413092, 101.501817, 105.645183, 463.973913], [58.639627, 62.390562, 67.074971, 69.813011, 224.295506]]
### 14
fourier: [[169.334310, 180.440408, 193.253393, 201.835919, 777.572116], [65.451596, 69.817505, 74.727611, 78.136231, 332.187036], [69.473259, 70.699714, 76.818150, 78.098139, 360.673658], [34.285163, 36.808157, 39.243524, 41.323858, 146.981049], [206.686755, 219.495567, 235.572471, 245.121441, 966.468230], [65.709640, 69.464580, 74.760050, 77.398473, 327.284123], [203.473811, 214.494523, 231.240294, 238.642743, 1009.937740]]
### 16
fourier: [[105.584189, 111.177927, 119.832449, 123.585717, 439.344743]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[53.619143, 53.764566, 57.880714, 70.427535, 183.403617], [53.948374, 60.155408, 61.659142, 67.183004, 100.674714], [44.207376, 47.661729, 52.222020, 57.816375, 135.782358], [22.586572, 23.297354, 25.838284, 26.207264, 188.667266], [18.506066, 18.618387, 21.324660, 25.550010, 119.817424], [54.979906, 59.416176, 67.900703, 68.600840, 496.375781], [59.020087, 59.715151, 62.369272, 66.562957, 198.769916]]
### 2
fourier: [[71.512589, 73.473301, 77.025604, 81.110335, 398.038919], [78.539996, 80.269510, 93.199087, 96.231371, 423.500406], [142.911140, 143.247807, 160.144301, 163.370531, 751.618518], [14.438461, 14.814931, 16.177263, 16.382923, 31.485330], [58.606945, 59.551564, 64.547594, 72.633769, 297.065645], [138.907223, 140.458354, 162.791707, 172.048738, 672.892776], [69.341361, 73.031908, 76.734912, 79.932161, 406.101657]]
### 4
fourier: [[8.377681, 9.331918, 9.605584, 9.738315, 63.081541], [178.412592, 184.512320, 208.462180, 210.530256, 879.822189], [66.632001, 68.198422, 79.903574, 82.780413, 313.203923], [38.031328, 41.516627, 44.301666, 44.761046, 273.934980], [169.450407, 184.486902, 191.053349, 202.654633, 965.212302], [108.821014, 110.375815, 119.491322, 121.436244, 601.639946], [274.656831, 281.755650, 326.671691, 327.209399, 1464.209817]]
### 6
fourier: [[240.715741, 255.888242, 280.381814, 287.835374, 1294.140098], [339.576895, 360.283395, 391.555559, 403.871694, 1753.570685], [66.283620, 71.377590, 77.062351, 79.362023, 381.478804], [5.836288, 6.126491, 6.896189, 7.136418, 57.419985], [234.476460, 247.364592, 268.682830, 277.718736, 1193.965485], [58.390092, 62.742455, 68.065054, 69.989287, 335.710011], [145.896362, 154.188229, 168.624348, 173.595472, 754.201077]]
### 8
fourier: [[30.976724, 32.962265, 35.604946, 36.902456, 183.424094], [181.173247, 191.887141, 207.223108, 215.000801, 939.291242], [151.025192, 160.025583, 172.480759, 179.142128, 791.412849], [134.286405, 142.284123, 153.975988, 159.478985, 720.235505], [420.467075, 446.265817, 484.991922, 500.786980, 2201.325738], [305.353735, 323.873641, 350.317647, 362.743937, 1578.006790], [136.989879, 145.183443, 156.818606, 162.579078, 711.108608]]
### 10
fourier: [[141.192113, 149.855287, 162.859446, 168.163396, 762.580794], [246.199274, 261.305407, 283.980997, 293.229613, 1230.767282], [86.035915, 91.314846, 99.238976, 102.470956, 459.785262], [16.698385, 17.722954, 19.260919, 19.888202, 93.071192], [82.351275, 87.404124, 94.988892, 98.082459, 466.980700], [237.946665, 252.546442, 274.461948, 283.400524, 1252.136407], [11.117647, 11.799797, 12.823760, 13.241401, 88.773479]]
### 12
fourier: [[165.954923, 176.570371, 189.827633, 197.576507, 797.790031], [56.412256, 60.020714, 64.527189, 67.161230, 305.189768], [146.163146, 155.512600, 167.188797, 174.013550, 693.473153], [72.822489, 77.480643, 83.298045, 86.698322, 334.088243], [82.759819, 88.053626, 94.664868, 98.529146, 404.416596], [88.736957, 94.413092, 101.501817, 105.645183, 463.973913], [58.639627, 62.390562, 67.074971, 69.813011, 224.295506]]
### 14
fourier: [[169.334310, 180.440408, 193.253393, 201.835919, 777.572116], [65.451596, 69.817505, 74.727611, 78.136231, 332.187036], [69.473259, 70.699714, 76.818150, 78.098139, 360.673658], [34.285163, 36.808157, 39.243524, 41.323858, 146.981049], [206.686755, 219.495567, 235.572471, 245.121441, 966.468230], [65.709640, 69.464580, 74.760050, 77.398473, 327.284123], [203.473811, 214.494523, 231.240294, 238.642743, 1009.937740]]
### 16
fourier: [[105.584189, 111.177927, 119.832449, 123.585717, 439.344743]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6772305071353912, "train_acc": 0.575, "val_loss": 0.7700274586677551, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6887288093566895, "train_acc": 0.575, "val_loss": 0.7380526065826416, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6772604584693909, "train_acc": 0.575, "val_loss": 0.6826183199882507, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6074991524219513, "train_acc": 0.515, "val_loss": 0.8978890776634216, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5249620676040649, "train_acc": 0.78, "val_loss": 0.47247177362442017, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5115009546279907, "train_acc": 0.77, "val_loss": 0.4620300233364105, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.483198806643486, "train_acc": 0.78, "val_loss": 0.39440926909446716, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5870789587497711, "train_acc": 0.73, "val_loss": 0.3797449469566345, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4330460876226425, "train_acc": 0.805, "val_loss": 0.46032553911209106, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.5180073082447052, "train_acc": 0.73, "val_loss": 0.49854815006256104, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.5745594501495361, "train_acc": 0.695, "val_loss": 0.4792296588420868, "val_acc": 0.8}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7700274586677551, "final_val_loss": 0.6826183199882507, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.8978890776634216, "final_val_loss": 0.4792296588420868, "initial_val_acc": 0.68, "final_val_acc": 0.8, "best_val_acc": 0.88, "best_epoch": 7}, "improvement": 0.44, "first_improvement_epoch": 2}}
|
34
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.6, "improved_accuracy": 0.94, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9575, "learning_rate": 0.08435096790732609, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[40.149445, 40.913039, 43.412626, 53.201863, 421.448591], [45.214904, 46.950325, 47.491937, 48.191112, 285.453641], [18.837606, 20.260007, 21.508479, 21.514418, 150.472553], [25.214870, 30.697211, 31.291618, 33.333025, 223.245567], [39.691069, 44.128334, 45.610763, 51.155354, 430.662797], [47.078811, 49.024379, 52.486765, 58.441636, 178.732568], [21.292250, 24.136929, 26.249388, 29.751664, 170.554245], [57.001981, 59.611222, 64.728895, 67.797535, 362.213326]]
### 2
fourier: [[30.956073, 31.143902, 32.730208, 34.178457, 191.170420], [18.647763, 18.753140, 20.640948, 20.736379, 117.851112], [76.388427, 81.983829, 85.123945, 87.215895, 520.450259], [38.253443, 41.211494, 43.001243, 44.447126, 269.234626], [56.729899, 60.503159, 60.945299, 61.003281, 389.311282], [53.601937, 53.978801, 55.677076, 58.447820, 333.695345], [24.675835, 24.984954, 25.016465, 25.804626, 205.090703], [33.689409, 37.793673, 39.636442, 39.934012, 272.142265]]
### 4
fourier: [[98.873669, 105.531731, 109.826796, 110.174071, 720.934328], [22.770623, 24.889785, 25.495071, 25.962888, 98.194273], [5.486659, 6.001728, 6.051271, 6.299385, 62.629421], [13.795902, 15.171594, 15.343511, 16.095280, 92.254935], [53.949321, 58.387965, 60.597164, 60.599803, 372.941073], [1.684769, 1.701915, 1.738726, 2.077306, 30.074838], [52.321563, 56.223949, 57.098661, 59.260007, 302.967571], [29.819436, 32.361774, 33.538840, 33.802576, 198.669706]]
### 6
fourier: [[10.547396, 10.587737, 11.054452, 11.400334, 80.827121], [20.269451, 21.916347, 22.623704, 23.041925, 152.181708], [15.340175, 16.424344, 17.090628, 17.155791, 111.822690], [12.195133, 13.074322, 13.361212, 13.589292, 157.625139], [46.804708, 50.708853, 52.001445, 53.430154, 297.880405], [1.782569, 1.827376, 1.848569, 1.889241, 10.092042], [32.833125, 35.476525, 36.544568, 37.074984, 202.792144], [57.545731, 62.161098, 64.003384, 65.187925, 375.920262]]
### 8
fourier: [[53.589557, 58.168057, 59.867112, 60.731403, 359.873522], [53.372165, 58.241615, 59.528623, 59.713494, 295.456574], [60.808237, 66.168628, 68.236443, 68.821204, 427.613715], [15.715291, 16.973801, 17.314765, 17.637796, 107.570666], [3.513224, 4.047662, 4.059222, 4.176930, 41.687865], [24.750415, 26.727603, 27.466669, 28.085917, 186.587521], [23.853867, 25.541981, 26.220711, 26.856896, 187.707958], [6.314066, 6.666655, 6.760490, 7.189792, 7.196599]]
### 10
fourier: [[78.918968, 87.993639, 89.649187, 90.837031, 612.333037], [10.050807, 11.177674, 11.471613, 11.743960, 35.175854], [35.690182, 39.293525, 40.528052, 40.821366, 215.008540], [35.962258, 40.548891, 41.104732, 41.669682, 263.393265], [27.594133, 30.825664, 31.393005, 31.721615, 219.215037], [37.061491, 41.320773, 42.199914, 42.487554, 247.813136], [2.391821, 2.401459, 2.498978, 2.567002, 20.338229], [77.299249, 85.736757, 87.837048, 89.135465, 602.029418]]
### 12
fourier: [[1.571482, 1.597184, 1.601461, 2.061499, 23.016019], [54.666130, 61.272427, 62.429796, 63.271984, 446.477084], [50.237514, 56.095467, 57.050841, 57.406005, 429.023143], [70.626743, 79.940193, 80.771596, 82.022505, 551.766857], [100.048566, 112.615055, 114.408511, 116.103994, 749.391078], [48.317101, 55.135816, 55.350689, 56.406355, 359.136860], [73.249126, 82.181478, 83.626895, 84.733550, 565.500243], [78.953974, 88.859834, 90.194661, 91.465578, 623.048888]]
### 14
fourier: [[19.742505, 22.486524, 22.552294, 23.191396, 50.866456], [67.041111, 77.106677, 77.860253, 78.250503, 480.566589], [57.421258, 66.000428, 66.681190, 66.992535, 434.765700], [95.326478, 108.229197, 109.687306, 110.818249, 721.390160], [46.475513, 53.535085, 53.978674, 54.318847, 292.442087], [20.848052, 24.636682, 24.675030, 24.798166, 132.636962], [77.076050, 88.048294, 88.960664, 89.901656, 564.088671], [70.066317, 80.376105, 81.194050, 81.721105, 498.645984]]
### 16
fourier: [[104.814968, 122.345003, 122.599906, 123.120732, 680.791321]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[40.149445, 40.913039, 43.412626, 53.201863, 421.448591], [45.214904, 46.950325, 47.491937, 48.191112, 285.453641], [18.837606, 20.260007, 21.508479, 21.514418, 150.472553], [25.214870, 30.697211, 31.291618, 33.333025, 223.245567], [39.691069, 44.128334, 45.610763, 51.155354, 430.662797], [47.078811, 49.024379, 52.486765, 58.441636, 178.732568], [21.292250, 24.136929, 26.249388, 29.751664, 170.554245], [57.001981, 59.611222, 64.728895, 67.797535, 362.213326]]
### 2
fourier: [[30.956073, 31.143902, 32.730208, 34.178457, 191.170420], [18.647763, 18.753140, 20.640948, 20.736379, 117.851112], [76.388427, 81.983829, 85.123945, 87.215895, 520.450259], [38.253443, 41.211494, 43.001243, 44.447126, 269.234626], [56.729899, 60.503159, 60.945299, 61.003281, 389.311282], [53.601937, 53.978801, 55.677076, 58.447820, 333.695345], [24.675835, 24.984954, 25.016465, 25.804626, 205.090703], [33.689409, 37.793673, 39.636442, 39.934012, 272.142265]]
### 4
fourier: [[98.873669, 105.531731, 109.826796, 110.174071, 720.934328], [22.770623, 24.889785, 25.495071, 25.962888, 98.194273], [5.486659, 6.001728, 6.051271, 6.299385, 62.629421], [13.795902, 15.171594, 15.343511, 16.095280, 92.254935], [53.949321, 58.387965, 60.597164, 60.599803, 372.941073], [1.684769, 1.701915, 1.738726, 2.077306, 30.074838], [52.321563, 56.223949, 57.098661, 59.260007, 302.967571], [29.819436, 32.361774, 33.538840, 33.802576, 198.669706]]
### 6
fourier: [[10.547396, 10.587737, 11.054452, 11.400334, 80.827121], [20.269451, 21.916347, 22.623704, 23.041925, 152.181708], [15.340175, 16.424344, 17.090628, 17.155791, 111.822690], [12.195133, 13.074322, 13.361212, 13.589292, 157.625139], [46.804708, 50.708853, 52.001445, 53.430154, 297.880405], [1.782569, 1.827376, 1.848569, 1.889241, 10.092042], [32.833125, 35.476525, 36.544568, 37.074984, 202.792144], [57.545731, 62.161098, 64.003384, 65.187925, 375.920262]]
### 8
fourier: [[53.589557, 58.168057, 59.867112, 60.731403, 359.873522], [53.372165, 58.241615, 59.528623, 59.713494, 295.456574], [60.808237, 66.168628, 68.236443, 68.821204, 427.613715], [15.715291, 16.973801, 17.314765, 17.637796, 107.570666], [3.513224, 4.047662, 4.059222, 4.176930, 41.687865], [24.750415, 26.727603, 27.466669, 28.085917, 186.587521], [23.853867, 25.541981, 26.220711, 26.856896, 187.707958], [6.314066, 6.666655, 6.760490, 7.189792, 7.196599]]
### 10
fourier: [[78.918968, 87.993639, 89.649187, 90.837031, 612.333037], [10.050807, 11.177674, 11.471613, 11.743960, 35.175854], [35.690182, 39.293525, 40.528052, 40.821366, 215.008540], [35.962258, 40.548891, 41.104732, 41.669682, 263.393265], [27.594133, 30.825664, 31.393005, 31.721615, 219.215037], [37.061491, 41.320773, 42.199914, 42.487554, 247.813136], [2.391821, 2.401459, 2.498978, 2.567002, 20.338229], [77.299249, 85.736757, 87.837048, 89.135465, 602.029418]]
### 12
fourier: [[1.571482, 1.597184, 1.601461, 2.061499, 23.016019], [54.666130, 61.272427, 62.429796, 63.271984, 446.477084], [50.237514, 56.095467, 57.050841, 57.406005, 429.023143], [70.626743, 79.940193, 80.771596, 82.022505, 551.766857], [100.048566, 112.615055, 114.408511, 116.103994, 749.391078], [48.317101, 55.135816, 55.350689, 56.406355, 359.136860], [73.249126, 82.181478, 83.626895, 84.733550, 565.500243], [78.953974, 88.859834, 90.194661, 91.465578, 623.048888]]
### 14
fourier: [[19.742505, 22.486524, 22.552294, 23.191396, 50.866456], [67.041111, 77.106677, 77.860253, 78.250503, 480.566589], [57.421258, 66.000428, 66.681190, 66.992535, 434.765700], [95.326478, 108.229197, 109.687306, 110.818249, 721.390160], [46.475513, 53.535085, 53.978674, 54.318847, 292.442087], [20.848052, 24.636682, 24.675030, 24.798166, 132.636962], [77.076050, 88.048294, 88.960664, 89.901656, 564.088671], [70.066317, 80.376105, 81.194050, 81.721105, 498.645984]]
### 16
fourier: [[104.814968, 122.345003, 122.599906, 123.120732, 680.791321]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6946682035923004, "train_acc": 0.48, "val_loss": 0.6720840930938721, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6901163160800934, "train_acc": 0.55, "val_loss": 0.5896856784820557, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7842647731304169, "train_acc": 0.475, "val_loss": 0.8142329454421997, "val_acc": 0.4}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.7106175720691681, "train_acc": 0.525, "val_loss": 0.6539873480796814, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6284497082233429, "train_acc": 0.695, "val_loss": 0.5005829930305481, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5347141623497009, "train_acc": 0.83, "val_loss": 0.3215351402759552, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3487946391105652, "train_acc": 0.875, "val_loss": 0.19561243057250977, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4415881782770157, "train_acc": 0.91, "val_loss": 0.2011667639017105, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.24657639861106873, "train_acc": 0.93, "val_loss": 0.4818381071090698, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.4808650612831116, "train_acc": 0.84, "val_loss": 0.46198776364326477, "val_acc": 0.84}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6720840930938721, "final_val_loss": 0.5896856784820557, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.8142329454421997, "final_val_loss": 0.46198776364326477, "initial_val_acc": 0.4, "final_val_acc": 0.84, "best_val_acc": 0.94, "best_epoch": 6}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
35
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.8, "improvement": 0.22000000000000008, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2084, "learning_rate": 0.07613021159903365, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[27.261095, 28.350839, 28.511083, 31.478799, 218.100641], [28.804315, 29.216284, 32.280096, 36.761065, 111.280048], [35.254789, 35.558419, 37.691353, 43.358441, 95.289610], [33.062956, 33.273226, 34.393598, 38.882557, 281.962166], [20.025490, 22.089557, 23.094813, 27.329350, 52.327013], [31.999282, 32.033938, 36.126553, 46.097176, 71.297137], [31.267724, 32.904481, 32.990122, 35.933121, 172.875630], [17.109916, 22.039032, 22.329961, 23.609985, 24.009180], [26.804526, 26.879177, 27.384791, 27.707671, 31.272147], [24.679062, 25.134746, 25.411907, 29.850719, 35.985596]]
### 2
fourier: [[24.099382, 26.108742, 26.969038, 34.858830, 248.223574], [18.782173, 20.385967, 21.216867, 29.463585, 241.183798], [53.471441, 55.211507, 61.850474, 72.222892, 158.160481], [13.097651, 13.561227, 15.818745, 19.424849, 46.857430], [36.575304, 36.976867, 39.937252, 48.797132, 336.806612], [16.192711, 17.207237, 17.965337, 22.600287, 42.826676], [38.600655, 39.236141, 42.757431, 51.474252, 124.923470], [29.272331, 31.583516, 31.823200, 36.681598, 293.424186], [27.899797, 32.044139, 34.124019, 35.364723, 246.917848], [15.880059, 16.250492, 17.096716, 18.326127, 92.516658]]
### 4
fourier: [[11.410521, 11.861874, 12.656003, 16.572933, 155.737534], [53.583020, 59.677164, 68.844242, 74.874979, 238.502688], [23.586110, 27.865561, 31.066769, 32.442114, 51.545444], [7.994067, 8.191517, 9.658908, 10.438758, 31.400970], [19.951044, 22.468514, 27.115685, 28.419246, 58.441166], [24.508164, 27.059114, 32.369310, 32.519814, 55.216465], [42.661905, 45.905590, 54.802099, 59.259880, 192.550200], [23.081265, 23.140579, 28.199926, 30.799173, 41.543567], [7.678082, 8.368769, 9.434089, 10.704169, 12.271429], [4.441587, 4.550119, 5.449205, 5.807204, 75.602814]]
### 6
fourier: [[7.077124, 7.324844, 8.290022, 8.367297, 65.528505], [12.716425, 13.449972, 18.336251, 18.881380, 101.661733], [2.983442, 3.264250, 4.074429, 4.255801, 58.976240], [12.819704, 13.842196, 14.819609, 15.178948, 185.610437], [30.920183, 34.008926, 46.026639, 46.129119, 184.179394], [20.504212, 21.377702, 30.072024, 30.433007, 124.193573], [9.507163, 9.929585, 10.461817, 10.547505, 91.605068], [9.164300, 9.975287, 10.495040, 10.917276, 129.142939], [7.036445, 7.843332, 10.083879, 10.208295, 49.934535], [40.687409, 47.932987, 48.621220, 58.391889, 60.555527]]
### 8
fourier: [[9.833862, 10.887317, 14.445532, 14.454535, 108.933217], [16.833026, 17.139633, 24.002062, 24.964002, 100.146737], [12.259841, 12.280502, 13.355165, 14.506028, 160.396631], [41.182338, 44.926078, 52.295780, 59.293627, 63.681256], [9.422811, 9.489692, 12.215931, 12.425307, 78.851816], [8.356912, 9.349038, 12.190629, 12.446784, 64.107444], [9.759366, 9.943714, 12.227149, 12.785707, 78.525577], [6.145755, 7.062435, 7.118510, 9.068228, 9.981442], [10.316503, 10.609199, 11.378653, 12.856452, 14.754368], [5.032913, 6.052690, 6.234829, 7.201495, 57.354036]]
### 10
fourier: [[9.576977, 11.167213, 11.615145, 13.552296, 66.211137], [5.377814, 6.211799, 6.630420, 7.129713, 12.720067], [6.518868, 7.430034, 8.399317, 9.138640, 9.630822], [8.206764, 8.559995, 10.297895, 10.773182, 19.303802], [5.101862, 5.164301, 6.123278, 6.626299, 37.355729], [2.318703, 2.416111, 2.781961, 3.090310, 23.739298], [4.567210, 4.690222, 4.726885, 5.692914, 6.098039], [3.365276, 3.409188, 4.140241, 4.263416, 33.396528], [4.412841, 4.459189, 5.304021, 5.741378, 18.357242], [7.021978, 7.738511, 8.619890, 9.698566, 25.764103]]
### 12
fourier: [[2.734509, 2.750578, 2.951296, 3.317775, 3.624870]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[27.261095, 28.350839, 28.511083, 31.478799, 218.100641], [28.804315, 29.216284, 32.280096, 36.761065, 111.280048], [35.254789, 35.558419, 37.691353, 43.358441, 95.289610], [33.062956, 33.273226, 34.393598, 38.882557, 281.962166], [20.025490, 22.089557, 23.094813, 27.329350, 52.327013], [31.999282, 32.033938, 36.126553, 46.097176, 71.297137], [31.267724, 32.904481, 32.990122, 35.933121, 172.875630], [17.109916, 22.039032, 22.329961, 23.609985, 24.009180], [26.804526, 26.879177, 27.384791, 27.707671, 31.272147], [24.679062, 25.134746, 25.411907, 29.850719, 35.985596]]
### 2
fourier: [[24.099382, 26.108742, 26.969038, 34.858830, 248.223574], [18.782173, 20.385967, 21.216867, 29.463585, 241.183798], [53.471441, 55.211507, 61.850474, 72.222892, 158.160481], [13.097651, 13.561227, 15.818745, 19.424849, 46.857430], [36.575304, 36.976867, 39.937252, 48.797132, 336.806612], [16.192711, 17.207237, 17.965337, 22.600287, 42.826676], [38.600655, 39.236141, 42.757431, 51.474252, 124.923470], [29.272331, 31.583516, 31.823200, 36.681598, 293.424186], [27.899797, 32.044139, 34.124019, 35.364723, 246.917848], [15.880059, 16.250492, 17.096716, 18.326127, 92.516658]]
### 4
fourier: [[11.410521, 11.861874, 12.656003, 16.572933, 155.737534], [53.583020, 59.677164, 68.844242, 74.874979, 238.502688], [23.586110, 27.865561, 31.066769, 32.442114, 51.545444], [7.994067, 8.191517, 9.658908, 10.438758, 31.400970], [19.951044, 22.468514, 27.115685, 28.419246, 58.441166], [24.508164, 27.059114, 32.369310, 32.519814, 55.216465], [42.661905, 45.905590, 54.802099, 59.259880, 192.550200], [23.081265, 23.140579, 28.199926, 30.799173, 41.543567], [7.678082, 8.368769, 9.434089, 10.704169, 12.271429], [4.441587, 4.550119, 5.449205, 5.807204, 75.602814]]
### 6
fourier: [[7.077124, 7.324844, 8.290022, 8.367297, 65.528505], [12.716425, 13.449972, 18.336251, 18.881380, 101.661733], [2.983442, 3.264250, 4.074429, 4.255801, 58.976240], [12.819704, 13.842196, 14.819609, 15.178948, 185.610437], [30.920183, 34.008926, 46.026639, 46.129119, 184.179394], [20.504212, 21.377702, 30.072024, 30.433007, 124.193573], [9.507163, 9.929585, 10.461817, 10.547505, 91.605068], [9.164300, 9.975287, 10.495040, 10.917276, 129.142939], [7.036445, 7.843332, 10.083879, 10.208295, 49.934535], [40.687409, 47.932987, 48.621220, 58.391889, 60.555527]]
### 8
fourier: [[9.833862, 10.887317, 14.445532, 14.454535, 108.933217], [16.833026, 17.139633, 24.002062, 24.964002, 100.146737], [12.259841, 12.280502, 13.355165, 14.506028, 160.396631], [41.182338, 44.926078, 52.295780, 59.293627, 63.681256], [9.422811, 9.489692, 12.215931, 12.425307, 78.851816], [8.356912, 9.349038, 12.190629, 12.446784, 64.107444], [9.759366, 9.943714, 12.227149, 12.785707, 78.525577], [6.145755, 7.062435, 7.118510, 9.068228, 9.981442], [10.316503, 10.609199, 11.378653, 12.856452, 14.754368], [5.032913, 6.052690, 6.234829, 7.201495, 57.354036]]
### 10
fourier: [[9.576977, 11.167213, 11.615145, 13.552296, 66.211137], [5.377814, 6.211799, 6.630420, 7.129713, 12.720067], [6.518868, 7.430034, 8.399317, 9.138640, 9.630822], [8.206764, 8.559995, 10.297895, 10.773182, 19.303802], [5.101862, 5.164301, 6.123278, 6.626299, 37.355729], [2.318703, 2.416111, 2.781961, 3.090310, 23.739298], [4.567210, 4.690222, 4.726885, 5.692914, 6.098039], [3.365276, 3.409188, 4.140241, 4.263416, 33.396528], [4.412841, 4.459189, 5.304021, 5.741378, 18.357242], [7.021978, 7.738511, 8.619890, 9.698566, 25.764103]]
### 12
fourier: [[2.734509, 2.750578, 2.951296, 3.317775, 3.624870]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6922718286514282, "train_acc": 0.56, "val_loss": 0.6799089312553406, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.684540331363678, "train_acc": 0.56, "val_loss": 0.6777732372283936, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6790847778320312, "train_acc": 0.56, "val_loss": 0.6334245800971985, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.8025762140750885, "train_acc": 0.48, "val_loss": 0.5838279724121094, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6115690469741821, "train_acc": 0.605, "val_loss": 0.641221821308136, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6232543885707855, "train_acc": 0.805, "val_loss": 0.6180002093315125, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5672153830528259, "train_acc": 0.815, "val_loss": 0.5052816867828369, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3731021285057068, "train_acc": 0.85, "val_loss": 0.6262528896331787, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.39719460904598236, "train_acc": 0.88, "val_loss": 0.734596848487854, "val_acc": 0.68}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.44273319840431213, "train_acc": 0.805, "val_loss": 0.552738606929779, "val_acc": 0.8}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6799089312553406, "final_val_loss": 0.6334245800971985, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5838279724121094, "final_val_loss": 0.552738606929779, "initial_val_acc": 0.58, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 4}, "improvement": 0.22000000000000008, "first_improvement_epoch": 2}}
|
36
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.72, "improved_accuracy": 0.98, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6322, "learning_rate": 0.039516149425793824, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[19.428073, 19.854663, 22.584025, 22.808582, 25.575989], [31.735420, 34.268988, 34.445604, 39.367326, 173.042511], [17.771818, 19.950522, 21.247094, 26.237504, 76.663334], [20.893359, 22.206558, 22.302439, 25.969781, 74.226576], [21.707655, 24.481424, 24.746403, 25.643922, 73.749188], [19.270453, 21.675859, 22.329939, 22.330216, 23.542186], [12.997150, 13.241325, 13.960367, 17.062840, 64.506952], [26.318369, 27.057300, 27.146645, 28.201823, 137.510985], [19.397406, 19.994400, 20.789713, 21.401545, 50.332385], [9.708332, 10.828104, 12.183169, 16.912563, 65.024885], [22.631207, 24.130211, 25.252334, 26.414256, 95.489593]]
### 2
fourier: [[6.832469, 7.011789, 8.365814, 9.399879, 61.739438], [22.521948, 28.814848, 29.886563, 30.794194, 33.636078], [44.105411, 44.123647, 47.027889, 49.924911, 217.904551], [9.367898, 9.583689, 9.597069, 10.474385, 21.434363], [8.752247, 9.025446, 10.097480, 10.621120, 64.656758], [12.943032, 14.191795, 15.533239, 16.382280, 102.079000], [24.252918, 26.178717, 31.734687, 33.695818, 35.043812], [6.344911, 7.420729, 7.571307, 7.610602, 32.251377], [23.434432, 27.244542, 28.173730, 30.391274, 110.074382], [31.439020, 32.539291, 34.166032, 34.588994, 169.886099], [12.255899, 12.631851, 12.869978, 18.380964, 48.836826]]
### 4
fourier: [[29.647995, 32.216443, 33.735396, 34.700541, 98.798058], [4.560949, 4.781821, 5.438729, 6.294136, 23.157688], [6.294577, 6.752032, 7.313401, 7.768187, 8.910419], [8.913020, 9.630422, 9.795312, 11.105247, 19.839657], [12.291611, 12.394804, 13.526632, 13.845545, 15.263952], [39.597420, 40.275744, 41.011517, 43.022842, 196.794568], [20.212273, 21.704398, 22.495943, 22.738640, 22.871944], [34.903569, 36.923242, 37.103057, 37.625215, 44.284741], [27.104900, 28.662778, 29.232510, 30.297464, 110.673161], [24.620924, 26.289982, 27.431423, 28.181171, 68.210177], [27.869608, 29.478404, 31.505786, 33.013555, 83.581538]]
### 6
fourier: [[25.557714, 26.289344, 26.794225, 27.212633, 80.286884], [16.869258, 17.167044, 17.583438, 17.964077, 25.583366], [17.641845, 17.754109, 18.034756, 19.011415, 21.016374], [21.310923, 22.396209, 23.103380, 23.517817, 59.890539], [12.151839, 12.570501, 12.712219, 13.817247, 14.436004], [26.703449, 29.436051, 29.783194, 31.440064, 33.154651], [34.834233, 35.805406, 37.013630, 38.479191, 65.775412], [4.592488, 4.706500, 4.966192, 5.152198, 5.784597], [13.737393, 14.663590, 15.069109, 16.130699, 41.909830], [30.323428, 30.755425, 31.454847, 31.797705, 111.884586], [33.434906, 34.821119, 35.492744, 36.784507, 93.451391]]
### 8
fourier: [[30.472093, 30.664924, 32.381711, 33.008579, 116.625774], [47.152467, 47.930601, 48.853364, 50.197820, 126.313429], [29.452519, 30.181411, 30.711871, 31.405937, 98.891893], [27.943083, 28.160970, 29.398562, 30.213354, 32.542974], [33.940067, 34.021012, 34.468499, 34.947696, 97.827666], [31.406088, 31.529737, 33.490064, 34.973072, 130.901786], [22.488100, 22.742144, 23.017000, 23.332220, 61.408390], [36.446328, 37.043478, 37.473955, 38.949837, 117.216761], [64.810221, 65.575655, 68.522244, 71.083692, 198.604283], [24.360304, 24.906309, 24.959443, 25.489614, 26.375197], [11.598652, 12.146756, 12.318584, 12.508625, 27.124482]]
### 10
fourier: [[52.797201, 53.298321, 56.564866, 58.191091, 174.811033], [29.858657, 30.956172, 33.563381, 36.060723, 124.468076], [12.816304, 12.951361, 13.507182, 16.613691, 18.181588], [51.342730, 51.533854, 55.132496, 57.482984, 173.451412], [33.056175, 33.470322, 34.591287, 35.464446, 119.920671], [60.900851, 64.163112, 68.736930, 73.447753, 275.608453], [41.696323, 42.616292, 44.366046, 45.465106, 151.628820], [9.897587, 10.118216, 10.587158, 12.290996, 51.053595], [39.866465, 40.523105, 42.129592, 42.661076, 133.723888], [49.071880, 49.713926, 53.052843, 55.336216, 180.654987], [47.080068, 47.283816, 47.324340, 47.523159, 105.119361]]
### 12
fourier: [[18.179899, 18.447056, 19.158838, 20.325358, 62.177011], [17.316562, 19.134262, 20.728696, 24.088529, 122.907599], [45.142147, 46.129297, 46.231249, 46.480152, 106.261236], [45.247674, 45.810703, 47.529090, 48.255294, 119.223470], [34.217305, 36.742359, 39.419754, 41.930783, 137.275572], [48.445416, 48.529713, 49.124866, 51.976449, 91.687149], [42.359372, 45.762818, 49.841959, 53.919642, 177.394913], [37.534768, 41.148084, 44.473944, 48.535467, 165.290001], [20.517586, 21.523056, 22.769030, 23.914299, 60.643035], [26.316067, 28.548396, 30.821623, 32.740779, 116.373013], [31.750076, 34.718742, 37.312006, 40.390354, 136.006012]]
### 14
fourier: [[61.305784, 62.863454, 66.505039, 70.987263, 181.342970]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[19.428073, 19.854663, 22.584025, 22.808582, 25.575989], [31.735420, 34.268988, 34.445604, 39.367326, 173.042511], [17.771818, 19.950522, 21.247094, 26.237504, 76.663334], [20.893359, 22.206558, 22.302439, 25.969781, 74.226576], [21.707655, 24.481424, 24.746403, 25.643922, 73.749188], [19.270453, 21.675859, 22.329939, 22.330216, 23.542186], [12.997150, 13.241325, 13.960367, 17.062840, 64.506952], [26.318369, 27.057300, 27.146645, 28.201823, 137.510985], [19.397406, 19.994400, 20.789713, 21.401545, 50.332385], [9.708332, 10.828104, 12.183169, 16.912563, 65.024885], [22.631207, 24.130211, 25.252334, 26.414256, 95.489593]]
### 2
fourier: [[6.832469, 7.011789, 8.365814, 9.399879, 61.739438], [22.521948, 28.814848, 29.886563, 30.794194, 33.636078], [44.105411, 44.123647, 47.027889, 49.924911, 217.904551], [9.367898, 9.583689, 9.597069, 10.474385, 21.434363], [8.752247, 9.025446, 10.097480, 10.621120, 64.656758], [12.943032, 14.191795, 15.533239, 16.382280, 102.079000], [24.252918, 26.178717, 31.734687, 33.695818, 35.043812], [6.344911, 7.420729, 7.571307, 7.610602, 32.251377], [23.434432, 27.244542, 28.173730, 30.391274, 110.074382], [31.439020, 32.539291, 34.166032, 34.588994, 169.886099], [12.255899, 12.631851, 12.869978, 18.380964, 48.836826]]
### 4
fourier: [[29.647995, 32.216443, 33.735396, 34.700541, 98.798058], [4.560949, 4.781821, 5.438729, 6.294136, 23.157688], [6.294577, 6.752032, 7.313401, 7.768187, 8.910419], [8.913020, 9.630422, 9.795312, 11.105247, 19.839657], [12.291611, 12.394804, 13.526632, 13.845545, 15.263952], [39.597420, 40.275744, 41.011517, 43.022842, 196.794568], [20.212273, 21.704398, 22.495943, 22.738640, 22.871944], [34.903569, 36.923242, 37.103057, 37.625215, 44.284741], [27.104900, 28.662778, 29.232510, 30.297464, 110.673161], [24.620924, 26.289982, 27.431423, 28.181171, 68.210177], [27.869608, 29.478404, 31.505786, 33.013555, 83.581538]]
### 6
fourier: [[25.557714, 26.289344, 26.794225, 27.212633, 80.286884], [16.869258, 17.167044, 17.583438, 17.964077, 25.583366], [17.641845, 17.754109, 18.034756, 19.011415, 21.016374], [21.310923, 22.396209, 23.103380, 23.517817, 59.890539], [12.151839, 12.570501, 12.712219, 13.817247, 14.436004], [26.703449, 29.436051, 29.783194, 31.440064, 33.154651], [34.834233, 35.805406, 37.013630, 38.479191, 65.775412], [4.592488, 4.706500, 4.966192, 5.152198, 5.784597], [13.737393, 14.663590, 15.069109, 16.130699, 41.909830], [30.323428, 30.755425, 31.454847, 31.797705, 111.884586], [33.434906, 34.821119, 35.492744, 36.784507, 93.451391]]
### 8
fourier: [[30.472093, 30.664924, 32.381711, 33.008579, 116.625774], [47.152467, 47.930601, 48.853364, 50.197820, 126.313429], [29.452519, 30.181411, 30.711871, 31.405937, 98.891893], [27.943083, 28.160970, 29.398562, 30.213354, 32.542974], [33.940067, 34.021012, 34.468499, 34.947696, 97.827666], [31.406088, 31.529737, 33.490064, 34.973072, 130.901786], [22.488100, 22.742144, 23.017000, 23.332220, 61.408390], [36.446328, 37.043478, 37.473955, 38.949837, 117.216761], [64.810221, 65.575655, 68.522244, 71.083692, 198.604283], [24.360304, 24.906309, 24.959443, 25.489614, 26.375197], [11.598652, 12.146756, 12.318584, 12.508625, 27.124482]]
### 10
fourier: [[52.797201, 53.298321, 56.564866, 58.191091, 174.811033], [29.858657, 30.956172, 33.563381, 36.060723, 124.468076], [12.816304, 12.951361, 13.507182, 16.613691, 18.181588], [51.342730, 51.533854, 55.132496, 57.482984, 173.451412], [33.056175, 33.470322, 34.591287, 35.464446, 119.920671], [60.900851, 64.163112, 68.736930, 73.447753, 275.608453], [41.696323, 42.616292, 44.366046, 45.465106, 151.628820], [9.897587, 10.118216, 10.587158, 12.290996, 51.053595], [39.866465, 40.523105, 42.129592, 42.661076, 133.723888], [49.071880, 49.713926, 53.052843, 55.336216, 180.654987], [47.080068, 47.283816, 47.324340, 47.523159, 105.119361]]
### 12
fourier: [[18.179899, 18.447056, 19.158838, 20.325358, 62.177011], [17.316562, 19.134262, 20.728696, 24.088529, 122.907599], [45.142147, 46.129297, 46.231249, 46.480152, 106.261236], [45.247674, 45.810703, 47.529090, 48.255294, 119.223470], [34.217305, 36.742359, 39.419754, 41.930783, 137.275572], [48.445416, 48.529713, 49.124866, 51.976449, 91.687149], [42.359372, 45.762818, 49.841959, 53.919642, 177.394913], [37.534768, 41.148084, 44.473944, 48.535467, 165.290001], [20.517586, 21.523056, 22.769030, 23.914299, 60.643035], [26.316067, 28.548396, 30.821623, 32.740779, 116.373013], [31.750076, 34.718742, 37.312006, 40.390354, 136.006012]]
### 14
fourier: [[61.305784, 62.863454, 66.505039, 70.987263, 181.342970]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7073306739330292, "train_acc": 0.445, "val_loss": 0.6846505999565125, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6768752932548523, "train_acc": 0.555, "val_loss": 0.5571483969688416, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5185831487178802, "train_acc": 0.67, "val_loss": 0.37877997756004333, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.39899197220802307, "train_acc": 0.81, "val_loss": 0.21938686072826385, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.37708382308483124, "train_acc": 0.865, "val_loss": 0.23786087334156036, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3202791213989258, "train_acc": 0.875, "val_loss": 0.19076606631278992, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.23429962992668152, "train_acc": 0.89, "val_loss": 0.11242062598466873, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.16037557274103165, "train_acc": 0.91, "val_loss": 0.1306646764278412, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.1898133084177971, "train_acc": 0.92, "val_loss": 0.7204757928848267, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.304521307349205, "train_acc": 0.86, "val_loss": 0.21847064793109894, "val_acc": 0.92}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6846505999565125, "final_val_loss": 0.5571483969688416, "initial_val_acc": 0.58, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.37877997756004333, "final_val_loss": 0.21847064793109894, "initial_val_acc": 0.84, "final_val_acc": 0.92, "best_val_acc": 0.98, "best_epoch": 6}, "improvement": 0.26, "first_improvement_epoch": 1}}
|
37
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.62, "improved_accuracy": 0.8, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 9, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6259, "learning_rate": 0.0822847395038574, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[25.471204, 27.051843, 28.377193, 31.658633, 34.627481], [29.595284, 34.975588, 38.123834, 39.814761, 42.675895], [29.044235, 32.630863, 34.784439, 36.780770, 278.727507], [36.002852, 39.042698, 39.374088, 40.054836, 279.868337], [18.439773, 19.341712, 19.971187, 22.851607, 63.711761], [34.857648, 35.591830, 41.100424, 42.470094, 205.460250], [24.616338, 24.995056, 32.437062, 36.284247, 100.673314], [32.840503, 34.213811, 42.422577, 46.543984, 276.487414], [33.365267, 33.532048, 34.680305, 37.295158, 142.788891]]
### 2
fourier: [[12.913011, 13.941343, 14.520978, 14.888033, 132.819192], [19.630102, 24.839548, 25.660788, 26.168773, 130.333395], [13.105471, 14.260385, 17.472990, 17.478784, 55.809019], [21.850836, 24.436742, 25.103226, 28.151355, 297.150218], [17.288868, 18.295216, 23.912209, 24.372635, 176.045009], [30.831048, 32.027996, 39.539553, 39.963683, 53.758291], [25.617992, 29.305898, 38.906953, 39.371396, 189.226394], [10.176325, 10.244251, 14.437272, 14.482256, 38.621645], [14.216613, 16.012879, 17.730292, 17.761919, 25.356891]]
### 4
fourier: [[27.221861, 29.806741, 36.330709, 36.969136, 275.793575], [19.410224, 22.546106, 29.742232, 31.106454, 103.399019], [26.513738, 29.165028, 38.180025, 39.410520, 155.918333], [34.371974, 36.490069, 48.503832, 48.954524, 221.743656], [23.062547, 24.958088, 31.993636, 33.884600, 93.295735], [18.030958, 21.496126, 28.467279, 29.259024, 118.116078], [16.391061, 17.319252, 23.706650, 24.530594, 97.906773], [30.811437, 31.527518, 35.669563, 36.844756, 302.883486], [10.548581, 11.746810, 15.387052, 16.493823, 60.155695]]
### 6
fourier: [[16.146531, 17.497787, 23.612317, 23.683632, 61.430963], [4.412651, 5.575434, 6.083399, 6.717495, 23.088222], [32.529115, 36.244971, 47.132122, 47.417638, 150.646100], [34.765327, 38.929445, 50.631140, 50.653440, 210.352698], [13.339174, 15.252626, 19.219488, 19.236380, 50.827293], [28.996842, 32.290233, 41.831152, 43.150785, 131.762391], [43.089180, 48.724710, 62.395895, 62.625143, 261.974963], [26.889484, 30.146559, 39.030999, 39.228097, 176.623572], [38.451474, 43.045672, 55.608017, 56.013048, 224.402143]]
### 8
fourier: [[64.763362, 73.999224, 94.111459, 96.468434, 374.860918], [15.769589, 16.494703, 22.514836, 23.339503, 101.412913], [14.702059, 15.925113, 21.089757, 22.159432, 68.209542], [43.069134, 48.875308, 62.407977, 63.893180, 238.432692], [69.736552, 79.946119, 101.539347, 103.680431, 403.878693], [10.320739, 11.737542, 12.379564, 13.458361, 60.831298], [34.107686, 38.815122, 49.669132, 51.179792, 147.177994], [53.140069, 60.528755, 77.110251, 79.330650, 313.309104], [8.193414, 8.522435, 8.563208, 8.693572, 9.417878]]
### 10
fourier: [[131.117335, 152.051403, 191.218414, 199.171701, 715.245377], [11.481084, 12.876741, 16.478166, 17.631675, 53.437226], [39.559604, 48.327753, 58.464275, 60.902276, 268.540520], [111.779944, 134.015736, 164.321849, 171.456981, 659.061235], [31.334934, 35.702178, 45.408734, 47.776366, 159.375577], [47.949028, 57.423354, 70.487936, 73.297890, 264.677400], [99.082980, 118.275055, 145.600697, 151.204637, 573.744812], [119.539239, 140.955791, 174.977169, 182.752118, 703.196512], [30.856805, 36.165549, 45.217309, 46.592091, 134.478523]]
### 12
fourier: [[159.062798, 187.543755, 232.864601, 242.301977, 917.589893]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[25.471204, 27.051843, 28.377193, 31.658633, 34.627481], [29.595284, 34.975588, 38.123834, 39.814761, 42.675895], [29.044235, 32.630863, 34.784439, 36.780770, 278.727507], [36.002852, 39.042698, 39.374088, 40.054836, 279.868337], [18.439773, 19.341712, 19.971187, 22.851607, 63.711761], [34.857648, 35.591830, 41.100424, 42.470094, 205.460250], [24.616338, 24.995056, 32.437062, 36.284247, 100.673314], [32.840503, 34.213811, 42.422577, 46.543984, 276.487414], [33.365267, 33.532048, 34.680305, 37.295158, 142.788891]]
### 2
fourier: [[12.913011, 13.941343, 14.520978, 14.888033, 132.819192], [19.630102, 24.839548, 25.660788, 26.168773, 130.333395], [13.105471, 14.260385, 17.472990, 17.478784, 55.809019], [21.850836, 24.436742, 25.103226, 28.151355, 297.150218], [17.288868, 18.295216, 23.912209, 24.372635, 176.045009], [30.831048, 32.027996, 39.539553, 39.963683, 53.758291], [25.617992, 29.305898, 38.906953, 39.371396, 189.226394], [10.176325, 10.244251, 14.437272, 14.482256, 38.621645], [14.216613, 16.012879, 17.730292, 17.761919, 25.356891]]
### 4
fourier: [[27.221861, 29.806741, 36.330709, 36.969136, 275.793575], [19.410224, 22.546106, 29.742232, 31.106454, 103.399019], [26.513738, 29.165028, 38.180025, 39.410520, 155.918333], [34.371974, 36.490069, 48.503832, 48.954524, 221.743656], [23.062547, 24.958088, 31.993636, 33.884600, 93.295735], [18.030958, 21.496126, 28.467279, 29.259024, 118.116078], [16.391061, 17.319252, 23.706650, 24.530594, 97.906773], [30.811437, 31.527518, 35.669563, 36.844756, 302.883486], [10.548581, 11.746810, 15.387052, 16.493823, 60.155695]]
### 6
fourier: [[16.146531, 17.497787, 23.612317, 23.683632, 61.430963], [4.412651, 5.575434, 6.083399, 6.717495, 23.088222], [32.529115, 36.244971, 47.132122, 47.417638, 150.646100], [34.765327, 38.929445, 50.631140, 50.653440, 210.352698], [13.339174, 15.252626, 19.219488, 19.236380, 50.827293], [28.996842, 32.290233, 41.831152, 43.150785, 131.762391], [43.089180, 48.724710, 62.395895, 62.625143, 261.974963], [26.889484, 30.146559, 39.030999, 39.228097, 176.623572], [38.451474, 43.045672, 55.608017, 56.013048, 224.402143]]
### 8
fourier: [[64.763362, 73.999224, 94.111459, 96.468434, 374.860918], [15.769589, 16.494703, 22.514836, 23.339503, 101.412913], [14.702059, 15.925113, 21.089757, 22.159432, 68.209542], [43.069134, 48.875308, 62.407977, 63.893180, 238.432692], [69.736552, 79.946119, 101.539347, 103.680431, 403.878693], [10.320739, 11.737542, 12.379564, 13.458361, 60.831298], [34.107686, 38.815122, 49.669132, 51.179792, 147.177994], [53.140069, 60.528755, 77.110251, 79.330650, 313.309104], [8.193414, 8.522435, 8.563208, 8.693572, 9.417878]]
### 10
fourier: [[131.117335, 152.051403, 191.218414, 199.171701, 715.245377], [11.481084, 12.876741, 16.478166, 17.631675, 53.437226], [39.559604, 48.327753, 58.464275, 60.902276, 268.540520], [111.779944, 134.015736, 164.321849, 171.456981, 659.061235], [31.334934, 35.702178, 45.408734, 47.776366, 159.375577], [47.949028, 57.423354, 70.487936, 73.297890, 264.677400], [99.082980, 118.275055, 145.600697, 151.204637, 573.744812], [119.539239, 140.955791, 174.977169, 182.752118, 703.196512], [30.856805, 36.165549, 45.217309, 46.592091, 134.478523]]
### 12
fourier: [[159.062798, 187.543755, 232.864601, 242.301977, 917.589893]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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|
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[-0.164996]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7225893139839172, "train_acc": 0.41, "val_loss": 0.6759139895439148, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6886457204818726, "train_acc": 0.545, "val_loss": 0.6647673845291138, "val_acc": 0.62}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6779221296310425, "train_acc": 0.545, "val_loss": 0.5640564560890198, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6664564907550812, "train_acc": 0.51, "val_loss": 0.5254729390144348, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.41494670510292053, "train_acc": 0.815, "val_loss": 0.47151511907577515, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.8446411937475204, "train_acc": 0.79, "val_loss": 0.6151419281959534, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4381181597709656, "train_acc": 0.83, "val_loss": 0.5551010966300964, "val_acc": 0.68}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5097051709890366, "train_acc": 0.78, "val_loss": 0.5473613142967224, "val_acc": 0.68}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6759139895439148, "final_val_loss": 0.5640564560890198, "initial_val_acc": 0.62, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5254729390144348, "final_val_loss": 0.5473613142967224, "initial_val_acc": 0.7, "final_val_acc": 0.68, "best_val_acc": 0.8, "best_epoch": 4}, "improvement": 0.18000000000000005, "first_improvement_epoch": 2}}
|
38
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2336, "learning_rate": 0.027281424600688553, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[19.518660, 20.393286, 22.055755, 22.685101, 29.673344], [25.189397, 27.342833, 32.308431, 32.543899, 261.637021], [13.655275, 16.384886, 16.418064, 17.511016, 18.585211], [21.283316, 25.953233, 26.186327, 28.418745, 94.701981], [26.805147, 27.752002, 28.764825, 29.050286, 77.508231], [30.517684, 31.436003, 32.013417, 34.005711, 96.490039], [31.965450, 32.796172, 32.948683, 39.931118, 116.771080], [18.626444, 20.398522, 22.662583, 23.155992, 24.107074]]
### 2
fourier: [[24.339059, 24.528896, 32.409915, 35.410827, 116.059549], [20.171538, 20.948273, 21.102377, 21.500811, 26.682443], [21.206857, 21.845793, 22.192254, 23.707728, 165.617991], [32.101853, 33.263393, 43.438245, 48.937443, 234.539040], [26.181119, 26.846585, 29.793084, 36.364246, 140.137489], [22.636960, 23.790948, 23.809273, 26.041606, 29.571218], [24.473560, 24.827197, 31.675437, 36.032549, 159.790742], [19.148379, 19.301099, 22.811471, 22.821198, 53.443715]]
### 4
fourier: [[21.156394, 21.666751, 22.554781, 24.819807, 29.128544], [41.530989, 43.729951, 56.517889, 64.141477, 225.171652], [60.165057, 60.534570, 70.541888, 83.572120, 332.633473], [53.836293, 56.240016, 70.291288, 81.403035, 333.474825], [22.211301, 24.896579, 28.138238, 32.435698, 84.039962], [22.309950, 22.776454, 25.134331, 29.412885, 46.292771], [57.989214, 59.800532, 79.019169, 90.182228, 350.304959], [31.468402, 31.603870, 37.890599, 44.761234, 49.852078]]
### 6
fourier: [[60.518373, 62.842208, 79.615388, 89.466580, 293.241589], [75.265526, 75.378544, 96.137073, 107.320962, 360.002661], [96.476599, 102.200549, 127.167615, 144.078636, 502.805331], [67.435608, 71.093231, 90.188546, 100.188056, 328.145610], [81.085031, 84.930256, 107.879746, 122.779350, 434.065750], [40.053848, 40.282522, 45.460379, 48.971524, 128.195267], [52.317008, 55.165903, 66.616943, 76.102524, 255.061962], [110.357603, 116.090103, 145.763865, 163.800698, 586.206904]]
### 8
fourier: [[74.822877, 79.352982, 98.967870, 109.002359, 403.882733], [169.412672, 179.575260, 225.929726, 249.989523, 880.302885], [230.840911, 242.970763, 305.464851, 337.421142, 1217.442275], [137.719933, 144.684198, 182.105135, 201.870144, 700.506689], [219.637622, 230.580408, 290.618274, 321.274689, 1161.140768], [43.896158, 46.690480, 58.536377, 64.670500, 255.904333], [233.479759, 245.638443, 308.720830, 341.404800, 1220.621597], [17.534669, 19.300009, 22.973867, 25.541985, 52.046289]]
### 10
fourier: [[146.256473, 154.378841, 194.059551, 214.084972, 722.540698], [310.557092, 327.778293, 412.204855, 455.382274, 1548.488905], [375.376781, 394.885175, 497.828726, 549.542482, 1918.784141], [342.361499, 361.147425, 454.655753, 501.667029, 1736.934417], [538.814063, 566.351957, 714.902416, 788.142059, 2834.834360], [188.823342, 199.727654, 250.719812, 276.099194, 924.895961], [305.132250, 322.851569, 405.434812, 447.991234, 1529.784975], [350.059914, 368.503795, 464.835003, 512.743150, 1823.844462]]
### 12
fourier: [[815.979656, 859.744930, 1083.570988, 1194.633167, 4155.937728]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[19.518660, 20.393286, 22.055755, 22.685101, 29.673344], [25.189397, 27.342833, 32.308431, 32.543899, 261.637021], [13.655275, 16.384886, 16.418064, 17.511016, 18.585211], [21.283316, 25.953233, 26.186327, 28.418745, 94.701981], [26.805147, 27.752002, 28.764825, 29.050286, 77.508231], [30.517684, 31.436003, 32.013417, 34.005711, 96.490039], [31.965450, 32.796172, 32.948683, 39.931118, 116.771080], [18.626444, 20.398522, 22.662583, 23.155992, 24.107074]]
### 2
fourier: [[24.339059, 24.528896, 32.409915, 35.410827, 116.059549], [20.171538, 20.948273, 21.102377, 21.500811, 26.682443], [21.206857, 21.845793, 22.192254, 23.707728, 165.617991], [32.101853, 33.263393, 43.438245, 48.937443, 234.539040], [26.181119, 26.846585, 29.793084, 36.364246, 140.137489], [22.636960, 23.790948, 23.809273, 26.041606, 29.571218], [24.473560, 24.827197, 31.675437, 36.032549, 159.790742], [19.148379, 19.301099, 22.811471, 22.821198, 53.443715]]
### 4
fourier: [[21.156394, 21.666751, 22.554781, 24.819807, 29.128544], [41.530989, 43.729951, 56.517889, 64.141477, 225.171652], [60.165057, 60.534570, 70.541888, 83.572120, 332.633473], [53.836293, 56.240016, 70.291288, 81.403035, 333.474825], [22.211301, 24.896579, 28.138238, 32.435698, 84.039962], [22.309950, 22.776454, 25.134331, 29.412885, 46.292771], [57.989214, 59.800532, 79.019169, 90.182228, 350.304959], [31.468402, 31.603870, 37.890599, 44.761234, 49.852078]]
### 6
fourier: [[60.518373, 62.842208, 79.615388, 89.466580, 293.241589], [75.265526, 75.378544, 96.137073, 107.320962, 360.002661], [96.476599, 102.200549, 127.167615, 144.078636, 502.805331], [67.435608, 71.093231, 90.188546, 100.188056, 328.145610], [81.085031, 84.930256, 107.879746, 122.779350, 434.065750], [40.053848, 40.282522, 45.460379, 48.971524, 128.195267], [52.317008, 55.165903, 66.616943, 76.102524, 255.061962], [110.357603, 116.090103, 145.763865, 163.800698, 586.206904]]
### 8
fourier: [[74.822877, 79.352982, 98.967870, 109.002359, 403.882733], [169.412672, 179.575260, 225.929726, 249.989523, 880.302885], [230.840911, 242.970763, 305.464851, 337.421142, 1217.442275], [137.719933, 144.684198, 182.105135, 201.870144, 700.506689], [219.637622, 230.580408, 290.618274, 321.274689, 1161.140768], [43.896158, 46.690480, 58.536377, 64.670500, 255.904333], [233.479759, 245.638443, 308.720830, 341.404800, 1220.621597], [17.534669, 19.300009, 22.973867, 25.541985, 52.046289]]
### 10
fourier: [[146.256473, 154.378841, 194.059551, 214.084972, 722.540698], [310.557092, 327.778293, 412.204855, 455.382274, 1548.488905], [375.376781, 394.885175, 497.828726, 549.542482, 1918.784141], [342.361499, 361.147425, 454.655753, 501.667029, 1736.934417], [538.814063, 566.351957, 714.902416, 788.142059, 2834.834360], [188.823342, 199.727654, 250.719812, 276.099194, 924.895961], [305.132250, 322.851569, 405.434812, 447.991234, 1529.784975], [350.059914, 368.503795, 464.835003, 512.743150, 1823.844462]]
### 12
fourier: [[815.979656, 859.744930, 1083.570988, 1194.633167, 4155.937728]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.587246, -0.069579, -0.132005, -0.163195, 0.2146], [-0.395714, -0.124338, -0.174735, -0.558809, -0.097535], [0.104143, -0.33122, 0.259647, 0.208746, -0.450358], [-0.004381, 0.576369, -0.110027, 0.237123, -0.192758], [-0.654736, 0.115965, -0.0141, 0.063118, 0.71499], [-0.714601, -0.08013, 0.272039, 0.22612, 0.765921], [0.70494, 0.045542, 0.216307, -0.228767, 0.253527], [-0.232388, 0.692482, 0.069059, -0.413576, -0.169298]], "network.0.bias": [-0.225169, -0.504431, 0.186713, -0.033503, 0.476949, 0.109609, 0.063262, -0.190852], "network.2.weight": [[0.254712, 0.239216, -0.636461, 0.08514, 0.215549, 0.461541, 0.451506, -0.258739], [-0.477821, 0.291556, 0.45885, 0.311464, -0.406136, -0.223749, -0.060377, 0.563148], [-0.298972, -0.14765, -0.071762, 0.095615, 0.387694, 0.422796, 0.129074, 0.322896], [0.148249, -0.146577, -0.586773, 0.210386, 0.469531, 0.758117, 0.558493, -0.181443], [0.16744, -0.216321, -0.665229, -0.062302, 0.680689, 0.390801, 0.131767, -0.038561], [-0.044333, 0.015766, -0.330407, 0.338446, -0.312633, -0.479772, 0.224767, 0.460753], [0.432365, -0.214962, -0.221705, -0.140251, 0.51397, 0.453999, 0.306917, 0.021881], [0.371643, 0.03075, -0.155739, -0.25002, 0.093185, 0.394729, 0.260615, 0.037466]], "network.2.bias": [-0.051295, 0.264822, 0.622867, 0.306379, 0.355922, 0.037267, 0.250058, -0.220669], "network.4.weight": [[0.000494, 0.81693, 0.151631, -0.234107, -0.261373, 0.021174, -0.050171, -0.220475], [0.212946, -0.221049, -0.122178, 0.473893, 0.262564, 0.199527, 0.540032, 0.203959], [0.170443, -0.761948, 0.588987, 0.56789, 0.55869, -0.378183, 0.281159, 0.109077], [0.000564, -0.153512, 0.289813, 0.580378, 0.572159, -0.007785, 0.457273, 0.348875], [-0.210537, 0.280187, 0.214081, -0.357258, 0.084987, 0.43892, -0.329953, -0.01748], [-0.358972, 0.403661, 0.195837, 0.190245, -0.327432, 0.526654, -0.391866, -0.042718], [0.610238, -0.680089, 0.271247, 0.428978, 0.218135, 0.248668, 0.650704, 0.278389], [-0.415226, 0.549005, 0.454161, -0.291671, -0.318388, 0.386902, -0.241035, -0.027463]], "network.4.bias": [0.512085, -0.167417, 0.033549, -0.049653, 0.061047, -0.036355, 0.121806, 0.485223], "network.6.weight": [[-0.187138, 0.232019, 0.446011, 0.070067, -0.398887, 0.222795, 0.322588, -0.3778], [-0.279131, 0.109904, 0.116112, 0.413042, -0.519361, -0.366894, 0.58536, -0.330407], [-0.292974, 0.442299, 0.460721, 0.333069, -0.025078, -0.634284, 0.490996, -0.504204], [-0.511408, 0.536446, 0.435917, -0.038336, 0.160334, 0.190497, 0.298651, -0.657026], [-0.245695, 0.531169, 0.240928, 0.318185, -0.123726, -0.570489, 0.432635, -0.096174], [0.4532, 0.058276, -0.281286, 0.060776, 0.396348, 0.272816, -0.329195, 0.387539], [-0.265346, -0.054333, 0.275261, 0.436637, -0.322566, -0.465017, 0.200846, -0.043098], [-0.550626, 0.382855, 0.61623, 0.38687, -0.636636, -0.089077, 0.555322, -0.554608]], "network.6.bias": [-0.239533, -0.109963, 0.150789, 0.128382, 0.065173, 0.109553, -0.180812, 0.251357], "network.8.weight": [[-0.265647, -0.349138, 0.042818, -0.365888, 0.15428, -0.215233, -0.153997, -0.168079], [0.434692, -0.153092, 0.794282, 0.629609, 0.193224, -0.295364, -0.135477, 0.248653], [0.185795, 0.497454, 0.324026, 0.454002, 0.198521, -0.410784, 0.526345, 0.711789], [0.070271, -0.271701, 0.610368, 0.256754, 0.157165, -0.134727, 0.140313, 0.515544], [0.367965, 0.171775, 0.764157, 0.212685, 0.050239, -0.311541, 0.114792, 0.788165], [-0.412134, -0.010481, -0.318805, -0.170641, 0.140864, -0.126707, 0.242863, -0.006813], [0.368833, 0.449455, 0.299845, 0.389623, 0.267843, -0.241925, 0.504858, 0.688144], [0.006878, -0.096828, 0.020552, 0.312398, 0.036736, -0.136423, 0.249617, -0.135246]], "network.8.bias": [-0.157471, -0.087812, 0.137011, -0.373183, 0.02222, -0.275255, -0.017588, -0.304017], "network.10.weight": [[-0.511962, -0.143508, 0.068969, -0.211939, -0.2146, -0.30461, -0.247683, -0.206656], [-0.453635, -0.508474, -0.175612, -0.38566, -0.447598, -0.62054, -0.097589, -0.58319], [-0.1362, 0.223228, 0.582137, 0.2709, 0.44913, 0.344335, 0.270034, 0.287942], [-0.46012, -0.53724, -0.143682, -0.462253, -0.461737, -0.649723, -0.199531, -0.384726], [0.210537, 0.242209, 0.602737, 0.552835, 0.658639, -0.062823, 0.595816, -0.033288], [0.786902, 0.211561, 0.141265, 0.680512, 0.09203, 0.817342, 0.008726, 0.213547], [0.56445, 0.789267, 0.267066, 0.58121, 0.105795, 0.698955, -0.021326, 0.686999], [0.006104, 0.476324, 0.245962, -0.05965, 0.603173, 0.540492, 0.363367, 0.217844]], "network.10.bias": [0.329084, 0.620974, -0.564195, 0.414564, -0.005653, -0.383964, -0.372039, -0.147842], "network.12.weight": [[0.221308, 0.51534, -0.497539, 0.468734, -0.497474, -0.431246, -0.437656, -0.418393]], "network.12.bias": [0.459802]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7044457495212555, "train_acc": 0.435, "val_loss": 0.6876962184906006, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6811262369155884, "train_acc": 0.565, "val_loss": 0.6780330538749695, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6963040828704834, "train_acc": 0.565, "val_loss": 0.6729787588119507, "val_acc": 0.58}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6891143023967743, "train_acc": 0.565, "val_loss": 0.6492667198181152, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6781871616840363, "train_acc": 0.48, "val_loss": 0.5808715224266052, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5907566845417023, "train_acc": 0.545, "val_loss": 0.46661368012428284, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4706687927246094, "train_acc": 0.83, "val_loss": 0.40389692783355713, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.37778764963150024, "train_acc": 0.895, "val_loss": 0.33520573377609253, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3192084729671478, "train_acc": 0.91, "val_loss": 0.31609755754470825, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.2729264199733734, "train_acc": 0.92, "val_loss": 0.37312906980514526, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.2886301279067993, "train_acc": 0.9, "val_loss": 0.3231695890426636, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.27526965737342834, "train_acc": 0.905, "val_loss": 0.23322543501853943, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.480101615190506, "train_acc": 0.88, "val_loss": 0.4379223883152008, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3267235904932022, "train_acc": 0.885, "val_loss": 0.4864710867404938, "val_acc": 0.8}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6876962184906006, "final_val_loss": 0.6492667198181152, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5808715224266052, "final_val_loss": 0.4864710867404938, "initial_val_acc": 0.58, "final_val_acc": 0.8, "best_val_acc": 0.94, "best_epoch": 11}, "improvement": 0.36, "first_improvement_epoch": 3}}
|
39
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.86, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5507, "learning_rate": 0.05480493120407655, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.0.bias": [
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"network.2.weight": [
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## Activation Signature
### 0
fourier: [[9.393592, 10.070518, 10.216513, 12.231710, 74.998802], [35.374365, 35.906341, 36.017911, 39.352564, 124.159555], [13.720252, 16.212414, 16.613220, 18.361189, 126.352722], [35.062886, 36.498602, 40.353483, 48.015343, 210.643226], [37.157416, 39.620846, 40.138350, 55.841847, 149.310645], [42.328823, 42.875769, 54.414869, 60.740577, 171.421636], [30.515901, 31.874864, 33.949492, 39.274079, 131.501374], [38.761354, 42.037683, 52.613515, 61.087975, 172.962647], [28.888333, 32.504626, 33.487182, 39.832251, 282.070645], [44.898364, 45.818432, 47.469004, 51.617610, 52.698120]]
### 2
fourier: [[29.548353, 33.728157, 35.392604, 37.752592, 286.225170], [100.246655, 122.764532, 130.957514, 167.990123, 401.016985], [60.693059, 65.008071, 77.045589, 96.779554, 234.503033], [23.245088, 23.290424, 23.691928, 30.936430, 298.382128], [11.349877, 13.916676, 14.324148, 14.807093, 106.367885], [76.347536, 86.188175, 99.392088, 127.648563, 415.130930], [70.074734, 76.321604, 80.972184, 102.777859, 336.307159], [11.600634, 12.561796, 12.816573, 13.921232, 67.536915], [29.238838, 29.486761, 30.603580, 30.741833, 142.068605], [20.758749, 27.254031, 27.576305, 29.484471, 202.011315]]
### 4
fourier: [[111.378485, 122.750616, 139.145891, 177.658869, 576.273187], [149.837263, 165.919087, 187.062304, 238.845218, 701.957834], [103.281700, 113.991183, 129.468051, 165.583886, 526.999601], [168.692795, 193.045611, 216.271141, 278.308415, 764.184518], [135.519099, 156.493183, 175.666996, 226.422107, 630.266869], [109.799709, 129.423858, 140.981987, 182.987712, 535.328903], [94.933415, 119.116907, 120.655925, 159.325758, 301.488399], [45.842514, 48.509108, 57.785014, 70.891427, 307.168914], [102.154477, 126.268996, 131.846878, 173.323531, 359.444342], [46.989357, 50.157708, 61.266027, 77.274667, 270.423178]]
### 6
fourier: [[292.433814, 339.783990, 372.524407, 481.400588, 1341.910375], [185.342119, 216.992388, 236.908710, 306.260114, 801.715300], [125.344433, 147.476160, 148.349377, 195.209714, 429.778317], [132.116342, 156.266201, 169.049842, 219.607386, 574.808976], [127.348174, 139.281578, 161.867139, 206.319070, 648.490735], [110.688615, 123.787431, 140.536353, 180.405083, 543.130446], [354.357336, 415.716529, 450.864378, 584.042334, 1616.756474], [288.492912, 325.440340, 365.445674, 469.619811, 1361.181062], [49.941375, 55.363803, 63.804964, 82.035049, 263.393520], [66.553126, 72.675254, 85.120894, 108.669838, 358.583425]]
### 8
fourier: [[96.423765, 110.748397, 122.737901, 158.159450, 476.675153], [118.175514, 141.904642, 148.508503, 193.545496, 430.753073], [68.706336, 77.420099, 78.167545, 102.295066, 224.723973], [87.477567, 104.009957, 108.107764, 141.152043, 393.607383], [207.923685, 241.503704, 264.494766, 341.589800, 903.093034], [85.501170, 97.209713, 108.112402, 139.332126, 432.252981], [59.778500, 66.228688, 75.398628, 96.571204, 313.812720], [61.611275, 67.344852, 76.697383, 98.358098, 323.407909], [417.767354, 487.290232, 531.315393, 687.015257, 1917.702331], [358.040031, 419.179871, 456.079204, 589.902381, 1578.959385]]
### 10
fourier: [[257.647441, 295.645091, 328.510179, 422.674602, 1225.052756], [296.583060, 340.793323, 377.079512, 485.383169, 1395.565404], [81.592751, 95.135023, 103.773437, 133.756041, 395.430570], [356.434511, 410.097658, 453.447458, 583.981083, 1685.170398], [274.022989, 313.986797, 349.003520, 449.094564, 1259.935256], [425.190031, 501.337387, 541.528106, 700.886030, 1914.264554], [315.403881, 376.801338, 401.435999, 520.852779, 1422.289814], [341.833128, 400.630758, 435.310224, 562.683901, 1518.194708], [121.633666, 136.967618, 154.742020, 198.485355, 578.775309], [53.387110, 60.929777, 61.451692, 80.077021, 147.669328]]
### 12
fourier: [[146.970542, 171.760547, 187.138858, 241.334715, 704.182565], [150.681596, 175.367653, 192.143394, 247.774904, 695.914018], [208.261784, 242.087008, 265.427101, 342.050977, 969.454612], [169.378983, 196.546205, 215.800028, 277.980678, 817.667509], [412.727831, 483.075053, 526.047443, 679.045146, 1878.303774], [290.529183, 337.215328, 370.418211, 477.303522, 1347.914340], [256.049850, 299.856463, 326.193379, 420.987220, 1206.199177], [226.667557, 261.982275, 288.911833, 371.849122, 1070.924776], [77.868773, 90.301949, 99.320874, 127.971657, 395.660331], [152.782851, 180.780105, 194.617330, 251.801009, 648.659357]]
### 14
fourier: [[132.395669, 153.327653, 168.808638, 217.595104, 628.438418], [33.904221, 37.371599, 43.203596, 55.366634, 203.973705], [40.836278, 47.847432, 52.070316, 67.237567, 165.288515], [111.517220, 132.091037, 142.182460, 183.710318, 458.195944], [30.915140, 34.770711, 39.413663, 50.776574, 172.848362], [179.953769, 209.358132, 229.452150, 295.961519, 821.493251], [89.142501, 102.239412, 113.654682, 146.355573, 434.776255], [138.816941, 158.896462, 176.991724, 227.975236, 662.518699], [10.085585, 11.786185, 12.863315, 16.653581, 98.745506], [69.610901, 80.599394, 88.754928, 114.384793, 365.910513]]
### 16
fourier: [[42.699108, 51.448663, 54.419086, 70.395284, 169.894292]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[9.393592, 10.070518, 10.216513, 12.231710, 74.998802], [35.374365, 35.906341, 36.017911, 39.352564, 124.159555], [13.720252, 16.212414, 16.613220, 18.361189, 126.352722], [35.062886, 36.498602, 40.353483, 48.015343, 210.643226], [37.157416, 39.620846, 40.138350, 55.841847, 149.310645], [42.328823, 42.875769, 54.414869, 60.740577, 171.421636], [30.515901, 31.874864, 33.949492, 39.274079, 131.501374], [38.761354, 42.037683, 52.613515, 61.087975, 172.962647], [28.888333, 32.504626, 33.487182, 39.832251, 282.070645], [44.898364, 45.818432, 47.469004, 51.617610, 52.698120]]
### 2
fourier: [[29.548353, 33.728157, 35.392604, 37.752592, 286.225170], [100.246655, 122.764532, 130.957514, 167.990123, 401.016985], [60.693059, 65.008071, 77.045589, 96.779554, 234.503033], [23.245088, 23.290424, 23.691928, 30.936430, 298.382128], [11.349877, 13.916676, 14.324148, 14.807093, 106.367885], [76.347536, 86.188175, 99.392088, 127.648563, 415.130930], [70.074734, 76.321604, 80.972184, 102.777859, 336.307159], [11.600634, 12.561796, 12.816573, 13.921232, 67.536915], [29.238838, 29.486761, 30.603580, 30.741833, 142.068605], [20.758749, 27.254031, 27.576305, 29.484471, 202.011315]]
### 4
fourier: [[111.378485, 122.750616, 139.145891, 177.658869, 576.273187], [149.837263, 165.919087, 187.062304, 238.845218, 701.957834], [103.281700, 113.991183, 129.468051, 165.583886, 526.999601], [168.692795, 193.045611, 216.271141, 278.308415, 764.184518], [135.519099, 156.493183, 175.666996, 226.422107, 630.266869], [109.799709, 129.423858, 140.981987, 182.987712, 535.328903], [94.933415, 119.116907, 120.655925, 159.325758, 301.488399], [45.842514, 48.509108, 57.785014, 70.891427, 307.168914], [102.154477, 126.268996, 131.846878, 173.323531, 359.444342], [46.989357, 50.157708, 61.266027, 77.274667, 270.423178]]
### 6
fourier: [[292.433814, 339.783990, 372.524407, 481.400588, 1341.910375], [185.342119, 216.992388, 236.908710, 306.260114, 801.715300], [125.344433, 147.476160, 148.349377, 195.209714, 429.778317], [132.116342, 156.266201, 169.049842, 219.607386, 574.808976], [127.348174, 139.281578, 161.867139, 206.319070, 648.490735], [110.688615, 123.787431, 140.536353, 180.405083, 543.130446], [354.357336, 415.716529, 450.864378, 584.042334, 1616.756474], [288.492912, 325.440340, 365.445674, 469.619811, 1361.181062], [49.941375, 55.363803, 63.804964, 82.035049, 263.393520], [66.553126, 72.675254, 85.120894, 108.669838, 358.583425]]
### 8
fourier: [[96.423765, 110.748397, 122.737901, 158.159450, 476.675153], [118.175514, 141.904642, 148.508503, 193.545496, 430.753073], [68.706336, 77.420099, 78.167545, 102.295066, 224.723973], [87.477567, 104.009957, 108.107764, 141.152043, 393.607383], [207.923685, 241.503704, 264.494766, 341.589800, 903.093034], [85.501170, 97.209713, 108.112402, 139.332126, 432.252981], [59.778500, 66.228688, 75.398628, 96.571204, 313.812720], [61.611275, 67.344852, 76.697383, 98.358098, 323.407909], [417.767354, 487.290232, 531.315393, 687.015257, 1917.702331], [358.040031, 419.179871, 456.079204, 589.902381, 1578.959385]]
### 10
fourier: [[257.647441, 295.645091, 328.510179, 422.674602, 1225.052756], [296.583060, 340.793323, 377.079512, 485.383169, 1395.565404], [81.592751, 95.135023, 103.773437, 133.756041, 395.430570], [356.434511, 410.097658, 453.447458, 583.981083, 1685.170398], [274.022989, 313.986797, 349.003520, 449.094564, 1259.935256], [425.190031, 501.337387, 541.528106, 700.886030, 1914.264554], [315.403881, 376.801338, 401.435999, 520.852779, 1422.289814], [341.833128, 400.630758, 435.310224, 562.683901, 1518.194708], [121.633666, 136.967618, 154.742020, 198.485355, 578.775309], [53.387110, 60.929777, 61.451692, 80.077021, 147.669328]]
### 12
fourier: [[146.970542, 171.760547, 187.138858, 241.334715, 704.182565], [150.681596, 175.367653, 192.143394, 247.774904, 695.914018], [208.261784, 242.087008, 265.427101, 342.050977, 969.454612], [169.378983, 196.546205, 215.800028, 277.980678, 817.667509], [412.727831, 483.075053, 526.047443, 679.045146, 1878.303774], [290.529183, 337.215328, 370.418211, 477.303522, 1347.914340], [256.049850, 299.856463, 326.193379, 420.987220, 1206.199177], [226.667557, 261.982275, 288.911833, 371.849122, 1070.924776], [77.868773, 90.301949, 99.320874, 127.971657, 395.660331], [152.782851, 180.780105, 194.617330, 251.801009, 648.659357]]
### 14
fourier: [[132.395669, 153.327653, 168.808638, 217.595104, 628.438418], [33.904221, 37.371599, 43.203596, 55.366634, 203.973705], [40.836278, 47.847432, 52.070316, 67.237567, 165.288515], [111.517220, 132.091037, 142.182460, 183.710318, 458.195944], [30.915140, 34.770711, 39.413663, 50.776574, 172.848362], [179.953769, 209.358132, 229.452150, 295.961519, 821.493251], [89.142501, 102.239412, 113.654682, 146.355573, 434.776255], [138.816941, 158.896462, 176.991724, 227.975236, 662.518699], [10.085585, 11.786185, 12.863315, 16.653581, 98.745506], [69.610901, 80.599394, 88.754928, 114.384793, 365.910513]]
### 16
fourier: [[42.699108, 51.448663, 54.419086, 70.395284, 169.894292]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6802944839000702, "train_acc": 0.58, "val_loss": 0.7140474915504456, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6886017620563507, "train_acc": 0.58, "val_loss": 0.7091395854949951, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6793655157089233, "train_acc": 0.58, "val_loss": 0.69957435131073, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6826933324337006, "train_acc": 0.58, "val_loss": 0.6945563554763794, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6761358082294464, "train_acc": 0.58, "val_loss": 0.6753101944923401, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6508238315582275, "train_acc": 0.63, "val_loss": 0.471894770860672, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.4219880998134613, "train_acc": 0.89, "val_loss": 0.7951236963272095, "val_acc": 0.54}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6848316788673401, "train_acc": 0.635, "val_loss": 0.4108126759529114, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.435518279671669, "train_acc": 0.84, "val_loss": 0.36921268701553345, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.3915169835090637, "train_acc": 0.845, "val_loss": 0.3811458647251129, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.38170139491558075, "train_acc": 0.87, "val_loss": 0.6041333079338074, "val_acc": 0.56}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.5226349830627441, "train_acc": 0.625, "val_loss": 0.3955824375152588, "val_acc": 0.86}], "summary": {"total_epochs": 12, "degraded_epochs": 5, "improved_epochs": 7, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7140474915504456, "final_val_loss": 0.6753101944923401, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.471894770860672, "final_val_loss": 0.3955824375152588, "initial_val_acc": 0.8, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 11}, "improvement": 0.33999999999999997, "first_improvement_epoch": 4}}
|
40
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.44, "improved_accuracy": 0.92, "improvement": 0.48000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1532, "learning_rate": 0.03940536880101066, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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## Activation Signature
### 0
fourier: [[19.686663, 20.543445, 21.179341, 25.081558, 92.868879], [14.506407, 16.184483, 16.208613, 18.151389, 41.510594], [27.002492, 27.939708, 30.179528, 30.975259, 171.905971], [20.630053, 20.801415, 22.218348, 27.202714, 58.397174], [14.697468, 15.452429, 15.595563, 16.466250, 50.025744], [21.277257, 22.284791, 22.462271, 23.070589, 30.305493], [23.540282, 25.535534, 27.476116, 31.020468, 78.403888], [31.097051, 34.206684, 37.633583, 40.853905, 133.617767], [11.791511, 13.668892, 13.841396, 15.543901, 17.397747], [22.677755, 22.861085, 23.247912, 23.554707, 25.130289], [19.812940, 22.275652, 23.066845, 25.000579, 204.971830], [23.032853, 23.406975, 29.792224, 30.696445, 112.712662]]
### 2
fourier: [[33.464011, 34.570336, 40.743519, 46.745267, 112.616963], [13.863819, 17.200870, 18.876779, 19.428468, 108.269922], [7.007390, 8.763368, 10.009706, 10.888390, 19.817275], [9.004776, 9.121648, 9.383309, 10.234716, 27.243072], [20.463321, 21.264092, 23.344011, 27.172127, 49.549647], [22.062322, 24.175201, 27.369534, 27.802580, 32.138218], [12.186685, 12.589184, 12.943857, 16.837060, 138.086457], [29.482496, 29.888167, 34.555191, 39.060062, 107.129319], [27.872794, 30.385619, 35.575104, 38.125662, 105.277996], [14.888259, 16.844940, 18.161001, 21.036270, 24.427866], [26.477634, 27.956174, 32.957253, 34.243291, 73.289649], [6.691063, 7.077435, 7.533691, 8.674352, 24.553234]]
### 4
fourier: [[11.512958, 12.426827, 13.013463, 14.998938, 95.484410], [18.778173, 19.538173, 23.528723, 24.816262, 38.092948], [57.446400, 60.350320, 75.370895, 76.288718, 247.921935], [20.817918, 21.907632, 26.548154, 27.718312, 96.107065], [13.747733, 15.446667, 16.407767, 18.494910, 91.472656], [7.595701, 7.656573, 7.743644, 8.072488, 72.149421], [48.703328, 51.676955, 64.149787, 64.924363, 184.615156], [28.782843, 29.773570, 37.287301, 37.448101, 122.359000], [8.889141, 11.665371, 12.135896, 13.479033, 33.840029], [15.499595, 17.168807, 18.050247, 22.584430, 22.817505], [30.310847, 32.199763, 39.559041, 40.445953, 129.157045], [5.484173, 6.317468, 6.915896, 7.802051, 43.729072]]
### 6
fourier: [[53.201813, 55.759031, 68.600176, 70.670905, 195.741666], [58.199637, 61.806013, 76.422882, 77.363145, 208.248805], [8.807861, 8.840757, 10.074476, 11.128334, 72.424707], [24.103758, 25.887598, 31.999566, 32.307817, 110.060634], [61.132833, 64.706532, 79.695411, 81.341977, 231.884372], [29.433610, 29.462003, 35.750861, 38.626024, 75.905211], [7.831467, 8.601812, 10.481918, 10.579288, 55.575840], [6.460128, 7.059709, 7.691109, 8.287719, 65.843581], [28.325457, 30.889367, 37.687124, 38.338265, 166.240954], [4.741762, 5.449324, 5.609719, 6.865015, 29.517905], [47.844417, 51.037065, 62.992456, 63.646268, 193.463836], [50.278132, 52.433073, 64.508468, 66.819315, 190.077378]]
### 8
fourier: [[12.535245, 13.848292, 16.893795, 17.036636, 72.411096], [22.694697, 24.522141, 29.797263, 30.746548, 52.851134], [11.829419, 12.469735, 13.341588, 14.585729, 92.577850], [32.722699, 36.717702, 44.687602, 44.998526, 172.659647], [69.517812, 76.485545, 93.926730, 94.345053, 299.756832], [44.327713, 49.505329, 60.339587, 61.065833, 229.621820], [75.039697, 81.943496, 100.427351, 101.769181, 302.052427], [7.994456, 8.855689, 9.090469, 10.047555, 61.266100], [6.211800, 6.705172, 7.964509, 8.084843, 63.012649], [39.154427, 41.672300, 51.101016, 52.750640, 154.354420], [78.047483, 85.320493, 104.582824, 105.953749, 340.881767], [41.171099, 46.068049, 56.260528, 56.660885, 203.513418]]
### 10
fourier: [[20.384235, 22.365674, 26.864677, 27.821091, 116.625656], [4.012344, 4.327288, 5.159373, 5.384150, 19.525964], [15.392728, 16.884804, 20.504127, 21.089143, 77.790835], [76.991813, 84.972145, 104.163498, 104.782391, 337.321749], [114.468803, 126.476418, 154.831996, 156.224825, 497.145300], [21.322391, 22.994009, 27.481138, 28.710401, 149.603321], [50.817660, 56.274854, 68.891757, 69.455845, 240.564128], [56.031153, 61.573390, 75.374293, 76.368179, 252.146851], [53.534401, 59.167004, 72.487123, 72.739022, 248.821137], [36.109978, 39.996491, 48.929222, 49.272379, 131.113785], [37.539219, 41.414715, 50.416722, 51.651550, 155.372567], [46.182240, 50.723184, 62.082579, 62.900189, 212.407388]]
### 12
fourier: [[36.984411, 40.737848, 49.585114, 50.740742, 124.750347], [1.836241, 1.877583, 2.083240, 2.376462, 38.000991], [72.676246, 80.485678, 98.817391, 98.847190, 337.609953], [38.114656, 42.240865, 51.690378, 52.182873, 192.715012], [30.477938, 33.659728, 41.144101, 41.733779, 148.809123], [49.867636, 55.242337, 67.641498, 68.200642, 233.410643], [38.337252, 42.253193, 51.693911, 52.279734, 150.849905], [80.875083, 89.367203, 109.417620, 110.317551, 326.783481], [4.601628, 4.996452, 5.033700, 5.920725, 52.978033], [4.931574, 5.471408, 6.671744, 6.860708, 52.278920], [51.978572, 57.336791, 70.258357, 70.724814, 190.074756], [23.623151, 26.101573, 31.795319, 32.210236, 122.708456]]
### 14
fourier: [[30.750611, 34.116329, 41.631411, 41.995906, 164.097211], [52.737964, 58.503912, 71.143870, 72.133461, 240.589116], [14.306514, 15.836539, 19.188528, 19.591540, 42.381355], [41.330938, 45.845702, 56.014687, 56.413697, 161.365139], [35.811756, 39.725289, 48.399820, 48.942145, 125.163622], [36.081162, 40.073112, 49.023814, 49.228739, 158.554452], [0.156916, 0.163601, 0.170194, 0.261441, 21.803258], [55.711203, 61.826400, 75.365103, 76.124785, 213.388990], [19.788058, 21.937667, 26.740048, 27.035256, 92.235420], [21.644313, 24.015062, 29.118645, 29.641947, 69.867165], [30.338283, 33.612950, 40.908871, 41.474321, 112.759761], [5.041808, 5.551098, 6.605407, 6.938109, 58.091444]]
### 16
fourier: [[40.989311, 45.128383, 53.983208, 56.351178, 131.489925]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[19.686663, 20.543445, 21.179341, 25.081558, 92.868879], [14.506407, 16.184483, 16.208613, 18.151389, 41.510594], [27.002492, 27.939708, 30.179528, 30.975259, 171.905971], [20.630053, 20.801415, 22.218348, 27.202714, 58.397174], [14.697468, 15.452429, 15.595563, 16.466250, 50.025744], [21.277257, 22.284791, 22.462271, 23.070589, 30.305493], [23.540282, 25.535534, 27.476116, 31.020468, 78.403888], [31.097051, 34.206684, 37.633583, 40.853905, 133.617767], [11.791511, 13.668892, 13.841396, 15.543901, 17.397747], [22.677755, 22.861085, 23.247912, 23.554707, 25.130289], [19.812940, 22.275652, 23.066845, 25.000579, 204.971830], [23.032853, 23.406975, 29.792224, 30.696445, 112.712662]]
### 2
fourier: [[33.464011, 34.570336, 40.743519, 46.745267, 112.616963], [13.863819, 17.200870, 18.876779, 19.428468, 108.269922], [7.007390, 8.763368, 10.009706, 10.888390, 19.817275], [9.004776, 9.121648, 9.383309, 10.234716, 27.243072], [20.463321, 21.264092, 23.344011, 27.172127, 49.549647], [22.062322, 24.175201, 27.369534, 27.802580, 32.138218], [12.186685, 12.589184, 12.943857, 16.837060, 138.086457], [29.482496, 29.888167, 34.555191, 39.060062, 107.129319], [27.872794, 30.385619, 35.575104, 38.125662, 105.277996], [14.888259, 16.844940, 18.161001, 21.036270, 24.427866], [26.477634, 27.956174, 32.957253, 34.243291, 73.289649], [6.691063, 7.077435, 7.533691, 8.674352, 24.553234]]
### 4
fourier: [[11.512958, 12.426827, 13.013463, 14.998938, 95.484410], [18.778173, 19.538173, 23.528723, 24.816262, 38.092948], [57.446400, 60.350320, 75.370895, 76.288718, 247.921935], [20.817918, 21.907632, 26.548154, 27.718312, 96.107065], [13.747733, 15.446667, 16.407767, 18.494910, 91.472656], [7.595701, 7.656573, 7.743644, 8.072488, 72.149421], [48.703328, 51.676955, 64.149787, 64.924363, 184.615156], [28.782843, 29.773570, 37.287301, 37.448101, 122.359000], [8.889141, 11.665371, 12.135896, 13.479033, 33.840029], [15.499595, 17.168807, 18.050247, 22.584430, 22.817505], [30.310847, 32.199763, 39.559041, 40.445953, 129.157045], [5.484173, 6.317468, 6.915896, 7.802051, 43.729072]]
### 6
fourier: [[53.201813, 55.759031, 68.600176, 70.670905, 195.741666], [58.199637, 61.806013, 76.422882, 77.363145, 208.248805], [8.807861, 8.840757, 10.074476, 11.128334, 72.424707], [24.103758, 25.887598, 31.999566, 32.307817, 110.060634], [61.132833, 64.706532, 79.695411, 81.341977, 231.884372], [29.433610, 29.462003, 35.750861, 38.626024, 75.905211], [7.831467, 8.601812, 10.481918, 10.579288, 55.575840], [6.460128, 7.059709, 7.691109, 8.287719, 65.843581], [28.325457, 30.889367, 37.687124, 38.338265, 166.240954], [4.741762, 5.449324, 5.609719, 6.865015, 29.517905], [47.844417, 51.037065, 62.992456, 63.646268, 193.463836], [50.278132, 52.433073, 64.508468, 66.819315, 190.077378]]
### 8
fourier: [[12.535245, 13.848292, 16.893795, 17.036636, 72.411096], [22.694697, 24.522141, 29.797263, 30.746548, 52.851134], [11.829419, 12.469735, 13.341588, 14.585729, 92.577850], [32.722699, 36.717702, 44.687602, 44.998526, 172.659647], [69.517812, 76.485545, 93.926730, 94.345053, 299.756832], [44.327713, 49.505329, 60.339587, 61.065833, 229.621820], [75.039697, 81.943496, 100.427351, 101.769181, 302.052427], [7.994456, 8.855689, 9.090469, 10.047555, 61.266100], [6.211800, 6.705172, 7.964509, 8.084843, 63.012649], [39.154427, 41.672300, 51.101016, 52.750640, 154.354420], [78.047483, 85.320493, 104.582824, 105.953749, 340.881767], [41.171099, 46.068049, 56.260528, 56.660885, 203.513418]]
### 10
fourier: [[20.384235, 22.365674, 26.864677, 27.821091, 116.625656], [4.012344, 4.327288, 5.159373, 5.384150, 19.525964], [15.392728, 16.884804, 20.504127, 21.089143, 77.790835], [76.991813, 84.972145, 104.163498, 104.782391, 337.321749], [114.468803, 126.476418, 154.831996, 156.224825, 497.145300], [21.322391, 22.994009, 27.481138, 28.710401, 149.603321], [50.817660, 56.274854, 68.891757, 69.455845, 240.564128], [56.031153, 61.573390, 75.374293, 76.368179, 252.146851], [53.534401, 59.167004, 72.487123, 72.739022, 248.821137], [36.109978, 39.996491, 48.929222, 49.272379, 131.113785], [37.539219, 41.414715, 50.416722, 51.651550, 155.372567], [46.182240, 50.723184, 62.082579, 62.900189, 212.407388]]
### 12
fourier: [[36.984411, 40.737848, 49.585114, 50.740742, 124.750347], [1.836241, 1.877583, 2.083240, 2.376462, 38.000991], [72.676246, 80.485678, 98.817391, 98.847190, 337.609953], [38.114656, 42.240865, 51.690378, 52.182873, 192.715012], [30.477938, 33.659728, 41.144101, 41.733779, 148.809123], [49.867636, 55.242337, 67.641498, 68.200642, 233.410643], [38.337252, 42.253193, 51.693911, 52.279734, 150.849905], [80.875083, 89.367203, 109.417620, 110.317551, 326.783481], [4.601628, 4.996452, 5.033700, 5.920725, 52.978033], [4.931574, 5.471408, 6.671744, 6.860708, 52.278920], [51.978572, 57.336791, 70.258357, 70.724814, 190.074756], [23.623151, 26.101573, 31.795319, 32.210236, 122.708456]]
### 14
fourier: [[30.750611, 34.116329, 41.631411, 41.995906, 164.097211], [52.737964, 58.503912, 71.143870, 72.133461, 240.589116], [14.306514, 15.836539, 19.188528, 19.591540, 42.381355], [41.330938, 45.845702, 56.014687, 56.413697, 161.365139], [35.811756, 39.725289, 48.399820, 48.942145, 125.163622], [36.081162, 40.073112, 49.023814, 49.228739, 158.554452], [0.156916, 0.163601, 0.170194, 0.261441, 21.803258], [55.711203, 61.826400, 75.365103, 76.124785, 213.388990], [19.788058, 21.937667, 26.740048, 27.035256, 92.235420], [21.644313, 24.015062, 29.118645, 29.641947, 69.867165], [30.338283, 33.612950, 40.908871, 41.474321, 112.759761], [5.041808, 5.551098, 6.605407, 6.938109, 58.091444]]
### 16
fourier: [[40.989311, 45.128383, 53.983208, 56.351178, 131.489925]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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-0.091742, -0.200916, -0.11091, -0.232812, -0.142229, 0.050858]], "network.16.bias": [0.397945]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.699388176202774, "train_acc": 0.46, "val_loss": 0.7179272174835205, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7021217942237854, "train_acc": 0.58, "val_loss": 0.7385378479957581, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6726260185241699, "train_acc": 0.58, "val_loss": 0.6949561834335327, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6409933269023895, "train_acc": 0.58, "val_loss": 0.663350522518158, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5521406531333923, "train_acc": 0.515, "val_loss": 0.5209347009658813, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5034577697515488, "train_acc": 0.84, "val_loss": 0.4618624150753021, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.44404537975788116, "train_acc": 0.855, "val_loss": 0.4440269470214844, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.43648071587085724, "train_acc": 0.82, "val_loss": 0.42109498381614685, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.40349625051021576, "train_acc": 0.845, "val_loss": 0.3988398611545563, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.38151875138282776, "train_acc": 0.855, "val_loss": 0.37989699840545654, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.37200823426246643, "train_acc": 0.86, "val_loss": 0.340280681848526, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.34770533442497253, "train_acc": 0.865, "val_loss": 0.3327745795249939, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.3470539003610611, "train_acc": 0.875, "val_loss": 0.3185941278934479, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.32892853021621704, "train_acc": 0.875, "val_loss": 0.3073873519897461, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7179272174835205, "final_val_loss": 0.663350522518158, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5209347009658813, "final_val_loss": 0.3073873519897461, "initial_val_acc": 0.84, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 8}, "improvement": 0.48000000000000004, "first_improvement_epoch": 3}}
|
41
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.8, "improvement": 0.32000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9124, "learning_rate": 0.05450317299859903, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[19.272424, 19.365899, 20.804462, 22.078362, 22.491927], [13.783602, 16.006575, 17.756272, 19.652322, 146.078003], [12.670511, 13.058140, 13.218125, 15.952207, 40.604464], [29.689212, 31.821669, 32.899724, 40.121591, 247.780700], [18.341921, 20.302081, 20.326975, 20.490050, 87.816336], [31.681916, 37.967496, 38.289107, 44.020836, 167.643046], [25.870548, 26.181862, 30.305471, 30.704974, 101.036042], [23.984666, 30.931860, 31.708994, 35.876316, 161.533250]]
### 2
fourier: [[18.339495, 20.934695, 21.053467, 24.447400, 79.997585], [33.450974, 36.374158, 38.493535, 44.448769, 163.246820], [18.585330, 18.821504, 21.116975, 21.965968, 143.373894], [29.794750, 33.093963, 37.291802, 41.530248, 151.591704], [6.809199, 6.873039, 7.029922, 8.284616, 76.297041], [19.057089, 22.533894, 24.035945, 27.418179, 192.849611], [18.334344, 19.460407, 21.778760, 25.714567, 72.967479], [32.434070, 37.888120, 38.618296, 45.456238, 211.155324]]
### 4
fourier: [[29.905257, 34.942965, 37.669065, 41.119408, 231.123438], [33.727557, 37.659286, 39.134788, 42.229578, 47.307058], [33.584584, 33.655867, 37.399959, 43.505567, 137.211805], [24.161271, 26.995900, 27.721737, 27.898621, 34.330527], [18.317329, 18.964315, 20.216351, 23.394348, 48.817442], [2.001250, 2.336679, 2.340500, 2.523006, 8.123260], [17.036613, 17.665547, 19.774319, 22.410421, 46.259952], [25.255673, 25.426511, 27.910575, 32.304668, 34.940842]]
### 6
fourier: [[16.369298, 19.314424, 19.440366, 26.971327, 33.103336], [26.263930, 26.574758, 29.821990, 34.446202, 89.034288], [12.698450, 12.855596, 15.203978, 15.661132, 19.588509], [20.100510, 20.114667, 23.796536, 25.302228, 33.037320], [39.887657, 41.849707, 45.502521, 53.545241, 134.034818], [33.077944, 34.244673, 36.540621, 46.003853, 132.607995], [33.307062, 34.855949, 37.835923, 44.695053, 45.119889], [32.146043, 32.194839, 36.835306, 41.907806, 113.526345]]
### 8
fourier: [[48.516668, 53.460003, 55.729102, 70.825993, 109.992314], [57.763098, 62.050743, 65.222953, 81.087631, 199.172765], [13.433547, 14.843521, 15.250618, 19.604773, 70.878351], [33.207961, 35.283696, 37.245117, 45.661950, 105.216585], [40.058595, 42.587460, 45.224663, 55.961628, 134.181226], [24.516387, 27.368369, 28.052961, 36.044638, 60.903123], [24.394566, 28.718770, 29.012204, 38.112358, 61.096381], [13.212553, 13.486071, 15.906530, 15.931777, 21.276534]]
### 10
fourier: [[61.874578, 65.603902, 69.996789, 85.936430, 239.688696], [38.161688, 41.695812, 43.074190, 55.492455, 75.865610], [20.289766, 22.418475, 23.316848, 31.218071, 49.173955], [42.115754, 44.588931, 47.719579, 58.272507, 115.932633], [41.916635, 45.183251, 47.175011, 59.884277, 139.803684], [30.810026, 32.533542, 34.743970, 40.949671, 129.989702], [43.795196, 47.515508, 49.538398, 63.896637, 149.763016], [31.446559, 33.677117, 35.141634, 35.368867, 46.395049]]
### 12
fourier: [[45.245544, 49.135736, 50.885903, 69.453140, 121.708810]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[19.272424, 19.365899, 20.804462, 22.078362, 22.491927], [13.783602, 16.006575, 17.756272, 19.652322, 146.078003], [12.670511, 13.058140, 13.218125, 15.952207, 40.604464], [29.689212, 31.821669, 32.899724, 40.121591, 247.780700], [18.341921, 20.302081, 20.326975, 20.490050, 87.816336], [31.681916, 37.967496, 38.289107, 44.020836, 167.643046], [25.870548, 26.181862, 30.305471, 30.704974, 101.036042], [23.984666, 30.931860, 31.708994, 35.876316, 161.533250]]
### 2
fourier: [[18.339495, 20.934695, 21.053467, 24.447400, 79.997585], [33.450974, 36.374158, 38.493535, 44.448769, 163.246820], [18.585330, 18.821504, 21.116975, 21.965968, 143.373894], [29.794750, 33.093963, 37.291802, 41.530248, 151.591704], [6.809199, 6.873039, 7.029922, 8.284616, 76.297041], [19.057089, 22.533894, 24.035945, 27.418179, 192.849611], [18.334344, 19.460407, 21.778760, 25.714567, 72.967479], [32.434070, 37.888120, 38.618296, 45.456238, 211.155324]]
### 4
fourier: [[29.905257, 34.942965, 37.669065, 41.119408, 231.123438], [33.727557, 37.659286, 39.134788, 42.229578, 47.307058], [33.584584, 33.655867, 37.399959, 43.505567, 137.211805], [24.161271, 26.995900, 27.721737, 27.898621, 34.330527], [18.317329, 18.964315, 20.216351, 23.394348, 48.817442], [2.001250, 2.336679, 2.340500, 2.523006, 8.123260], [17.036613, 17.665547, 19.774319, 22.410421, 46.259952], [25.255673, 25.426511, 27.910575, 32.304668, 34.940842]]
### 6
fourier: [[16.369298, 19.314424, 19.440366, 26.971327, 33.103336], [26.263930, 26.574758, 29.821990, 34.446202, 89.034288], [12.698450, 12.855596, 15.203978, 15.661132, 19.588509], [20.100510, 20.114667, 23.796536, 25.302228, 33.037320], [39.887657, 41.849707, 45.502521, 53.545241, 134.034818], [33.077944, 34.244673, 36.540621, 46.003853, 132.607995], [33.307062, 34.855949, 37.835923, 44.695053, 45.119889], [32.146043, 32.194839, 36.835306, 41.907806, 113.526345]]
### 8
fourier: [[48.516668, 53.460003, 55.729102, 70.825993, 109.992314], [57.763098, 62.050743, 65.222953, 81.087631, 199.172765], [13.433547, 14.843521, 15.250618, 19.604773, 70.878351], [33.207961, 35.283696, 37.245117, 45.661950, 105.216585], [40.058595, 42.587460, 45.224663, 55.961628, 134.181226], [24.516387, 27.368369, 28.052961, 36.044638, 60.903123], [24.394566, 28.718770, 29.012204, 38.112358, 61.096381], [13.212553, 13.486071, 15.906530, 15.931777, 21.276534]]
### 10
fourier: [[61.874578, 65.603902, 69.996789, 85.936430, 239.688696], [38.161688, 41.695812, 43.074190, 55.492455, 75.865610], [20.289766, 22.418475, 23.316848, 31.218071, 49.173955], [42.115754, 44.588931, 47.719579, 58.272507, 115.932633], [41.916635, 45.183251, 47.175011, 59.884277, 139.803684], [30.810026, 32.533542, 34.743970, 40.949671, 129.989702], [43.795196, 47.515508, 49.538398, 63.896637, 149.763016], [31.446559, 33.677117, 35.141634, 35.368867, 46.395049]]
### 12
fourier: [[45.245544, 49.135736, 50.885903, 69.453140, 121.708810]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [19.272424327955218, 19.36589949611436, 20.804462007486865, 22.078362251757717, 22.491926655415387]}, "1": {"fourier": [13.783602495165898, 16.006575164736965, 17.756271825443978, 19.652321942649678, 146.07800316810608]}, "2": {"fourier": [12.670510563965465, 13.058140276131272, 13.21812455016842, 15.95220658796647, 40.60446399450302]}, "3": {"fourier": [29.68921248558781, 31.82166862197071, 32.89972440254327, 40.12159073766265, 247.7807002067566]}, "4": {"fourier": [18.341920592907602, 20.302080884440677, 20.326975118801627, 20.490049815520255, 87.81633606553078]}, "5": {"fourier": [31.6819163589642, 37.96749569578497, 38.28910657365773, 44.0208362486118, 167.64304629713297]}, "6": {"fourier": [25.870547843316036, 26.181862158679444, 30.305471255213238, 30.704973956275335, 101.03604216873646]}, "7": {"fourier": [23.98466628327897, 30.93186027071414, 31.70899409421817, 35.87631560351707, 161.53325030207634]}}, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.127036, 0.232109, -0.442795, 0.200224, -0.086212], [0.042185, 0.11108, 0.007948, 0.178469, 0.389923], [-0.067815, 0.071184, 0.046723, 0.153768, -0.389605], [-0.490676, -0.439437, -0.228467, -0.195067, -0.281055], [-0.372458, -0.178173, 0.347235, 0.339355, -0.247837], [0.672417, -0.046843, -0.190632, 0.339941, 0.680534], [0.475501, 0.168002, -0.375378, 0.222112, 0.563242], [0.499041, -0.159733, -0.106387, 0.326057, 0.585921]], "network.0.bias": [0.171168, 0.487956, 0.459008, -0.09956, 0.616513, -0.058827, -0.162096, 0.265236], "network.2.weight": [[0.462792, 0.203528, 0.273816, -0.291538, 0.532482, -0.216467, -0.039392, -0.155027], [-0.082595, 0.16081, 0.036364, -0.02809, -0.134488, 0.263183, 0.385094, 0.459213], [0.06628, -0.136071, -0.321082, -0.28003, -0.293537, -0.056252, -0.449778, -0.227966], [-0.060444, 0.271243, -0.408941, -0.283261, 0.048764, 0.181929, 0.225647, 0.523387], [-0.045596, 0.167095, 0.189783, 0.188051, 0.100698, 0.319404, -0.054671, -0.160319], [-0.35287, -0.091758, 0.107753, 0.467295, -0.192308, -0.249981, 0.068694, -0.508403], [-0.063303, -0.058178, 0.307964, -0.248886, 0.094068, -0.398729, -0.227195, 0.104181], [-0.014554, 0.031596, 0.049768, 0.106821, -0.265736, -0.581664, -0.223092, -0.426245]], "network.2.bias": [0.518922, -0.05447, 0.085756, -0.10479, 0.168923, -0.49669, -0.125528, -0.047416], "network.4.weight": [[0.232539, 0.46846, -0.30532, 0.520126, 0.421803, -0.462491, -0.001742, 0.06542], [0.489883, -0.492788, -0.389976, -0.40597, 0.320373, -0.402802, 0.248617, -0.420259], [-0.219496, 0.436166, -0.065971, 0.42791, 0.18554, 0.336747, -0.192799, 0.178495], [0.454108, -0.361716, -0.387315, -0.217487, 0.09676, -0.30609, 0.253801, -0.356925], [-0.287233, 0.045375, 0.098424, 0.298591, 0.47996, 0.152103, 0.026482, 0.329628], [0.083837, -0.009745, 0.054613, -0.056502, 0.231035, 0.377325, 0.155347, 0.224739], [-0.044645, 0.162832, 0.112489, 0.308919, 0.132012, 0.008894, -0.166754, 0.162291], [0.140573, -0.436689, -0.555157, -0.209482, -0.090702, -0.121654, 0.09396, -0.212756]], "network.4.bias": [0.30859, 0.289067, 0.156877, 0.120431, -0.050644, -0.17478, -0.313025, 0.590281], "network.6.weight": [[0.117019, -0.577927, 0.104595, -0.155236, -0.105909, -0.287224, 0.341008, -0.484827], [-0.198596, 0.285913, -0.228839, 0.03066, -0.457817, -0.287032, -0.151121, 0.026045], [0.12187, 0.313125, 0.032097, 0.294753, -0.577746, -0.406429, -0.361102, 0.068072], [0.262018, 0.322808, -0.569238, 0.436039, -0.214409, 0.054677, -0.099985, 0.610524], [0.079929, -0.125148, 0.617575, -0.314307, 0.523128, -0.149481, 0.30387, -0.31056], [0.505256, -0.459733, 0.364044, -0.280447, 0.090937, -0.136187, -0.222059, -0.416124], [-0.129462, 0.18416, -0.27173, 0.211078, -0.468752, 0.140081, -0.494664, 0.591898], [0.171775, -0.427573, 0.419391, 0.237952, 0.140525, 0.098489, 0.532327, -0.02051]], "network.6.bias": [0.262663, 0.028769, -0.16443, 0.081304, 0.134961, 0.172382, 0.463356, -0.032603], "network.8.weight": [[-0.066626, 0.283677, 0.326783, 0.466898, -0.026111, -0.675004, 0.342522, -0.607827], [0.339337, -0.45271, 0.058448, -0.409421, 0.651038, 0.519127, -0.415067, 0.186996], [-0.236223, -0.011904, 0.22855, 0.021339, -0.013772, -0.211839, 0.121004, -0.042392], [-0.616399, -0.213604, -0.066921, 0.086209, -0.420264, -0.132636, 0.44164, -0.034962], [0.378008, -0.053828, 0.048634, -0.184664, 0.177804, 0.282585, -0.540146, 0.461472], [0.080228, 0.275804, 0.320183, -0.483514, 0.327658, 0.129926, -0.373228, 0.079528], [0.253269, 0.098059, -0.267364, -0.528389, 0.325942, 0.189604, -0.07579, -0.066241], [0.017128, -0.119763, -0.160937, -0.276805, 0.071984, -0.066169, -0.236631, 0.286294]], "network.8.bias": [0.187453, 0.360489, -0.358667, -0.124443, 0.302184, 0.186223, 0.201365, -0.137554], "network.10.weight": [[-0.358752, 0.671056, -0.163443, -0.279954, 0.615946, -0.068023, 0.002657, 0.043111], [0.581587, -0.331505, 0.001929, 0.074445, -0.185365, -0.132896, -0.293132, 0.046899], [0.581729, -0.105928, -0.197042, 0.004982, -0.125851, -0.334964, 0.154868, -0.226289], [0.28342, -0.329104, -0.036555, 0.169712, -0.427625, 0.208202, -0.25888, -0.484693], [-0.318394, 0.292985, -0.239143, -0.599277, 0.393632, 0.481868, 0.010431, -0.337835], [0.057167, -0.373241, -0.045235, -0.25309, -0.184591, -0.141108, -0.053371, 0.101016], [-0.62332, 0.426237, -0.062612, -0.392579, 0.110128, 0.386607, 0.093446, 0.094235], [0.631803, -0.078576, -0.125378, -0.018661, 0.016235, -0.608103, -0.469175, 0.040822]], "network.10.bias": [0.231792, 0.321074, -0.229249, 0.231882, 0.058577, -0.042881, 0.384546, 0.375958], "network.12.weight": [[-0.351899, 0.395307, 0.333554, 0.498206, -0.14609, 0.208036, -0.266717, 0.377768]], "network.12.bias": [-0.196431]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6773893237113953, "train_acc": 0.58, "val_loss": 0.7301000356674194, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6650810837745667, "train_acc": 0.58, "val_loss": 0.6636435985565186, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5644683837890625, "train_acc": 0.63, "val_loss": 0.5385010242462158, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5332024693489075, "train_acc": 0.825, "val_loss": 0.3834584057331085, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3782011717557907, "train_acc": 0.87, "val_loss": 0.6064481139183044, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.38351958990097046, "train_acc": 0.835, "val_loss": 0.49351224303245544, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3861403614282608, "train_acc": 0.855, "val_loss": 0.47478392720222473, "val_acc": 0.76}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7301000356674194, "final_val_loss": 0.6636435985565186, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5385010242462158, "final_val_loss": 0.47478392720222473, "initial_val_acc": 0.74, "final_val_acc": 0.76, "best_val_acc": 0.8, "best_epoch": 3}, "improvement": 0.32000000000000006, "first_improvement_epoch": 1}}
|
42
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.5, "improved_accuracy": 0.86, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9386, "learning_rate": 0.08356802268451656, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[25.190423, 29.178717, 33.766350, 34.694702, 127.988317], [20.965782, 22.157333, 23.861110, 27.086962, 141.082519], [48.202969, 51.579834, 55.410783, 64.780724, 483.165039], [39.305445, 40.342932, 40.502766, 46.598136, 47.795411], [48.192645, 51.317136, 51.545342, 59.750458, 107.065188], [43.081769, 44.916394, 51.133275, 51.995052, 149.194975], [32.575758, 34.185944, 37.425111, 40.703379, 73.183495], [49.163643, 50.072860, 50.145656, 53.879772, 113.887472]]
### 2
fourier: [[44.914297, 52.864956, 55.407672, 61.744860, 185.056556], [37.538341, 48.648632, 49.959602, 56.219445, 168.362341], [37.322238, 37.987325, 40.092949, 48.596563, 185.348754], [52.410415, 55.112393, 56.976284, 64.394532, 153.867782], [36.463153, 37.369392, 45.263275, 53.116116, 111.193278], [14.573435, 15.297718, 15.848612, 16.770598, 58.075473], [18.834813, 24.118714, 27.288822, 29.509446, 102.054544], [62.231938, 74.472645, 75.348424, 79.892271, 318.810279]]
### 4
fourier: [[64.949384, 81.416446, 83.070066, 92.815204, 339.246006], [147.374235, 159.666007, 166.527282, 173.965113, 633.567827], [68.331856, 69.224342, 71.030068, 74.020521, 225.057399], [56.903799, 76.032562, 78.615850, 92.178991, 312.357806], [86.322424, 106.563350, 108.855220, 123.919207, 436.954040], [30.987296, 31.635156, 34.292759, 39.523774, 137.347499], [82.944594, 87.758054, 88.584984, 91.314446, 293.725009], [67.432375, 73.692822, 74.380296, 86.749274, 320.584642]]
### 6
fourier: [[92.090023, 95.139135, 99.364570, 103.567818, 334.679061], [148.068079, 159.341527, 166.321092, 173.981339, 710.814625], [138.814229, 143.391065, 151.886790, 155.019290, 530.842969], [51.422248, 55.785200, 57.965182, 60.569915, 199.255169], [70.916589, 75.856960, 78.515587, 82.887594, 261.816227], [6.366277, 6.381396, 6.389023, 8.769082, 41.640623], [51.208333, 55.665553, 57.713641, 60.236362, 190.530095], [66.620227, 68.034607, 72.048183, 74.081576, 259.603566]]
### 8
fourier: [[3.428695, 3.576041, 3.961816, 4.180837, 68.159692], [120.334075, 122.898474, 129.931783, 133.419581, 400.367693], [56.460098, 59.727206, 62.871124, 64.524225, 223.655223], [136.644149, 142.783098, 150.035579, 154.758152, 457.302462], [4.369884, 4.400093, 4.623859, 5.073627, 28.819362], [30.632849, 32.251756, 34.280608, 34.379153, 134.802682], [38.497051, 41.023735, 42.482584, 44.672775, 163.643845], [14.885359, 16.611090, 17.248286, 18.335183, 92.047881]]
### 10
fourier: [[22.688781, 22.773966, 23.387713, 25.352771, 48.485033], [68.344121, 68.905373, 70.447073, 74.907812, 178.577936], [60.881803, 60.885967, 62.512596, 67.533090, 199.831280], [9.919614, 10.015728, 10.348643, 12.652640, 54.669855], [65.572781, 66.331048, 67.151151, 72.231810, 163.032809], [80.026509, 81.208880, 85.538078, 88.068726, 219.337754], [32.387774, 33.468942, 35.657805, 36.462115, 171.182946], [54.492082, 54.941981, 56.730546, 61.884781, 105.985046]]
### 12
fourier: [[104.760335, 105.324585, 108.827352, 114.082415, 285.760889], [74.364999, 74.582558, 78.654131, 83.761952, 295.513117], [27.298434, 27.459027, 28.789116, 30.948097, 97.557873], [94.564754, 95.202612, 96.883717, 103.287406, 244.340016], [85.656353, 85.734284, 88.838397, 92.740085, 231.867644], [77.823705, 78.162834, 81.872353, 84.426236, 217.469209], [14.436666, 16.084291, 16.201609, 16.584703, 17.298290], [112.613930, 112.666294, 121.180069, 121.415840, 342.732432]]
### 14
fourier: [[40.107308, 40.371028, 43.023864, 44.433056, 169.685252], [83.383197, 83.716247, 88.189753, 93.031629, 306.279738], [14.342283, 15.681421, 15.775442, 16.670416, 17.164076], [135.349246, 137.165862, 145.292396, 146.916511, 437.378857], [13.593439, 14.984590, 15.190942, 15.811579, 17.109582], [32.814142, 32.858542, 34.482322, 36.823889, 141.577516], [133.659864, 135.550064, 143.224781, 145.649434, 431.829042], [102.681589, 103.843502, 109.661282, 115.128561, 412.387824]]
### 16
fourier: [[128.740445, 128.785628, 138.231000, 139.668074, 365.732056]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[25.190423, 29.178717, 33.766350, 34.694702, 127.988317], [20.965782, 22.157333, 23.861110, 27.086962, 141.082519], [48.202969, 51.579834, 55.410783, 64.780724, 483.165039], [39.305445, 40.342932, 40.502766, 46.598136, 47.795411], [48.192645, 51.317136, 51.545342, 59.750458, 107.065188], [43.081769, 44.916394, 51.133275, 51.995052, 149.194975], [32.575758, 34.185944, 37.425111, 40.703379, 73.183495], [49.163643, 50.072860, 50.145656, 53.879772, 113.887472]]
### 2
fourier: [[44.914297, 52.864956, 55.407672, 61.744860, 185.056556], [37.538341, 48.648632, 49.959602, 56.219445, 168.362341], [37.322238, 37.987325, 40.092949, 48.596563, 185.348754], [52.410415, 55.112393, 56.976284, 64.394532, 153.867782], [36.463153, 37.369392, 45.263275, 53.116116, 111.193278], [14.573435, 15.297718, 15.848612, 16.770598, 58.075473], [18.834813, 24.118714, 27.288822, 29.509446, 102.054544], [62.231938, 74.472645, 75.348424, 79.892271, 318.810279]]
### 4
fourier: [[64.949384, 81.416446, 83.070066, 92.815204, 339.246006], [147.374235, 159.666007, 166.527282, 173.965113, 633.567827], [68.331856, 69.224342, 71.030068, 74.020521, 225.057399], [56.903799, 76.032562, 78.615850, 92.178991, 312.357806], [86.322424, 106.563350, 108.855220, 123.919207, 436.954040], [30.987296, 31.635156, 34.292759, 39.523774, 137.347499], [82.944594, 87.758054, 88.584984, 91.314446, 293.725009], [67.432375, 73.692822, 74.380296, 86.749274, 320.584642]]
### 6
fourier: [[92.090023, 95.139135, 99.364570, 103.567818, 334.679061], [148.068079, 159.341527, 166.321092, 173.981339, 710.814625], [138.814229, 143.391065, 151.886790, 155.019290, 530.842969], [51.422248, 55.785200, 57.965182, 60.569915, 199.255169], [70.916589, 75.856960, 78.515587, 82.887594, 261.816227], [6.366277, 6.381396, 6.389023, 8.769082, 41.640623], [51.208333, 55.665553, 57.713641, 60.236362, 190.530095], [66.620227, 68.034607, 72.048183, 74.081576, 259.603566]]
### 8
fourier: [[3.428695, 3.576041, 3.961816, 4.180837, 68.159692], [120.334075, 122.898474, 129.931783, 133.419581, 400.367693], [56.460098, 59.727206, 62.871124, 64.524225, 223.655223], [136.644149, 142.783098, 150.035579, 154.758152, 457.302462], [4.369884, 4.400093, 4.623859, 5.073627, 28.819362], [30.632849, 32.251756, 34.280608, 34.379153, 134.802682], [38.497051, 41.023735, 42.482584, 44.672775, 163.643845], [14.885359, 16.611090, 17.248286, 18.335183, 92.047881]]
### 10
fourier: [[22.688781, 22.773966, 23.387713, 25.352771, 48.485033], [68.344121, 68.905373, 70.447073, 74.907812, 178.577936], [60.881803, 60.885967, 62.512596, 67.533090, 199.831280], [9.919614, 10.015728, 10.348643, 12.652640, 54.669855], [65.572781, 66.331048, 67.151151, 72.231810, 163.032809], [80.026509, 81.208880, 85.538078, 88.068726, 219.337754], [32.387774, 33.468942, 35.657805, 36.462115, 171.182946], [54.492082, 54.941981, 56.730546, 61.884781, 105.985046]]
### 12
fourier: [[104.760335, 105.324585, 108.827352, 114.082415, 285.760889], [74.364999, 74.582558, 78.654131, 83.761952, 295.513117], [27.298434, 27.459027, 28.789116, 30.948097, 97.557873], [94.564754, 95.202612, 96.883717, 103.287406, 244.340016], [85.656353, 85.734284, 88.838397, 92.740085, 231.867644], [77.823705, 78.162834, 81.872353, 84.426236, 217.469209], [14.436666, 16.084291, 16.201609, 16.584703, 17.298290], [112.613930, 112.666294, 121.180069, 121.415840, 342.732432]]
### 14
fourier: [[40.107308, 40.371028, 43.023864, 44.433056, 169.685252], [83.383197, 83.716247, 88.189753, 93.031629, 306.279738], [14.342283, 15.681421, 15.775442, 16.670416, 17.164076], [135.349246, 137.165862, 145.292396, 146.916511, 437.378857], [13.593439, 14.984590, 15.190942, 15.811579, 17.109582], [32.814142, 32.858542, 34.482322, 36.823889, 141.577516], [133.659864, 135.550064, 143.224781, 145.649434, 431.829042], [102.681589, 103.843502, 109.661282, 115.128561, 412.387824]]
### 16
fourier: [[128.740445, 128.785628, 138.231000, 139.668074, 365.732056]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.67488893866539, "train_acc": 0.575, "val_loss": 0.7163407802581787, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.67551589012146, "train_acc": 0.56, "val_loss": 0.6417348980903625, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5771305561065674, "train_acc": 0.62, "val_loss": 1.5631524324417114, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 1.2912810295820236, "train_acc": 0.79, "val_loss": 0.6529678106307983, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6708146631717682, "train_acc": 0.58, "val_loss": 0.6339366436004639, "val_acc": 0.48}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6069217622280121, "train_acc": 0.55, "val_loss": 0.5179307460784912, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4845857620239258, "train_acc": 0.815, "val_loss": 0.42547062039375305, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.40561819076538086, "train_acc": 0.87, "val_loss": 0.4268040359020233, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.4099809229373932, "train_acc": 0.875, "val_loss": 0.3883533477783203, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.38029876351356506, "train_acc": 0.86, "val_loss": 0.36945343017578125, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3285512328147888, "train_acc": 0.87, "val_loss": 0.3519909977912903, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.34578895568847656, "train_acc": 0.875, "val_loss": 0.3432668447494507, "val_acc": 0.86}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7163407802581787, "final_val_loss": 0.6417348980903625, "initial_val_acc": 0.48, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 1.5631524324417114, "final_val_loss": 0.3432668447494507, "initial_val_acc": 0.82, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 10}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
43
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8890, "learning_rate": 0.024940936964749232, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[21.414530, 23.730100, 24.468925, 28.442296, 165.158147], [19.184423, 21.522562, 23.276574, 29.598602, 52.144898], [21.009847, 21.568578, 25.131362, 27.871621, 66.893451], [16.886824, 18.079296, 20.326212, 22.905293, 37.615499], [19.382909, 21.224348, 25.029751, 25.413317, 137.195270], [16.094347, 17.184054, 17.889265, 18.004260, 18.849816], [24.083920, 28.349009, 29.237764, 30.085170, 43.739849], [13.983292, 14.861153, 15.664765, 15.739176, 18.165099]]
### 2
fourier: [[4.796921, 5.287952, 5.434888, 5.595534, 40.662547], [24.564146, 25.200524, 27.870319, 28.990405, 154.591983], [4.301919, 4.366576, 4.736656, 5.818574, 11.958682], [28.023189, 31.492067, 31.963462, 32.048101, 199.705396], [12.221048, 13.584794, 13.883776, 14.791484, 76.520606], [3.299215, 3.364875, 3.422459, 4.919526, 11.568408], [7.973956, 8.428475, 9.283103, 10.131027, 19.650053], [17.828612, 18.099188, 19.101747, 19.235209, 90.643901]]
### 4
fourier: [[9.327275, 9.351608, 9.433201, 9.726122, 92.508339], [27.607618, 30.631625, 32.064038, 32.440308, 184.523032], [41.064802, 45.930099, 47.286022, 47.434329, 242.504431], [6.878695, 6.957193, 7.325108, 7.512387, 78.836556], [28.399582, 31.998301, 32.821667, 33.092910, 157.296709], [4.376873, 4.588000, 5.331361, 5.363758, 35.352644], [21.453483, 24.019828, 24.552112, 24.752393, 162.634578], [22.903367, 26.737539, 26.911093, 27.167073, 135.505192]]
### 6
fourier: [[37.622022, 42.328557, 42.608712, 43.698108, 249.497228], [59.257943, 66.763177, 67.386351, 69.028370, 368.032953], [14.896883, 16.623412, 17.003888, 17.359569, 108.438832], [26.290503, 29.932079, 29.956674, 30.787581, 154.868519], [27.816652, 31.265648, 31.504683, 32.273855, 166.078826], [53.607169, 60.398854, 61.094760, 62.505642, 312.912312], [44.294370, 49.813757, 50.319351, 51.540066, 317.250010], [40.652159, 45.258086, 46.448901, 47.324636, 230.166061]]
### 8
fourier: [[48.932603, 54.884361, 55.454105, 56.891738, 304.609310], [5.606007, 6.313017, 6.424231, 6.462057, 76.731925], [16.330768, 18.037412, 18.418728, 18.918181, 128.612556], [90.814728, 102.112903, 102.905786, 105.628402, 584.636280], [75.557842, 84.313664, 85.545490, 87.687821, 493.100412], [41.710196, 46.861153, 47.188364, 48.445146, 260.729713], [59.879109, 66.914449, 67.814529, 69.501243, 336.334657], [135.015662, 150.758542, 152.814539, 156.683392, 809.873719]]
### 10
fourier: [[35.672949, 39.244304, 40.161515, 41.175239, 177.708829], [98.330300, 109.852145, 111.187323, 114.075692, 651.563519], [14.225297, 16.123083, 16.143262, 16.582870, 118.444543], [73.194145, 81.827344, 82.829859, 84.989663, 463.953307], [9.652362, 10.102619, 10.749276, 11.183217, 11.469747], [46.101957, 51.451187, 52.178140, 53.538451, 284.402636], [2.612381, 2.889887, 2.925545, 3.023789, 13.559598], [174.506241, 194.733472, 197.348509, 202.433049, 1052.424708]]
### 12
fourier: [[24.536092, 27.534855, 27.535247, 28.521083, 127.462778], [15.490410, 17.529198, 17.743870, 18.337607, 128.030182], [79.614470, 87.772305, 89.765894, 91.321677, 518.048676], [147.757428, 166.787525, 166.823715, 172.751938, 887.580747], [8.315204, 8.883613, 9.249598, 9.462892, 86.454076], [66.291600, 73.431700, 74.461172, 76.450915, 379.777181], [63.277134, 68.729956, 71.215395, 71.816720, 414.647302], [6.297223, 6.491206, 8.074969, 8.286138, 67.669330]]
### 14
fourier: [[9.608396, 9.855653, 10.838389, 10.869944, 11.273760], [92.265436, 103.484010, 104.498135, 108.040511, 494.968185], [8.013524, 8.581925, 9.382974, 9.512021, 23.708740], [8.118297, 8.308779, 8.768132, 8.813928, 75.583644], [3.933776, 4.308050, 4.562401, 4.630033, 65.459753], [44.277791, 49.081250, 49.720972, 51.100371, 283.245711], [86.498839, 96.957530, 98.614861, 101.680134, 460.374080], [15.508547, 16.823066, 18.076237, 18.356615, 25.258220]]
### 16
fourier: [[76.460736, 84.908958, 88.081243, 90.551211, 360.959607]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[21.414530, 23.730100, 24.468925, 28.442296, 165.158147], [19.184423, 21.522562, 23.276574, 29.598602, 52.144898], [21.009847, 21.568578, 25.131362, 27.871621, 66.893451], [16.886824, 18.079296, 20.326212, 22.905293, 37.615499], [19.382909, 21.224348, 25.029751, 25.413317, 137.195270], [16.094347, 17.184054, 17.889265, 18.004260, 18.849816], [24.083920, 28.349009, 29.237764, 30.085170, 43.739849], [13.983292, 14.861153, 15.664765, 15.739176, 18.165099]]
### 2
fourier: [[4.796921, 5.287952, 5.434888, 5.595534, 40.662547], [24.564146, 25.200524, 27.870319, 28.990405, 154.591983], [4.301919, 4.366576, 4.736656, 5.818574, 11.958682], [28.023189, 31.492067, 31.963462, 32.048101, 199.705396], [12.221048, 13.584794, 13.883776, 14.791484, 76.520606], [3.299215, 3.364875, 3.422459, 4.919526, 11.568408], [7.973956, 8.428475, 9.283103, 10.131027, 19.650053], [17.828612, 18.099188, 19.101747, 19.235209, 90.643901]]
### 4
fourier: [[9.327275, 9.351608, 9.433201, 9.726122, 92.508339], [27.607618, 30.631625, 32.064038, 32.440308, 184.523032], [41.064802, 45.930099, 47.286022, 47.434329, 242.504431], [6.878695, 6.957193, 7.325108, 7.512387, 78.836556], [28.399582, 31.998301, 32.821667, 33.092910, 157.296709], [4.376873, 4.588000, 5.331361, 5.363758, 35.352644], [21.453483, 24.019828, 24.552112, 24.752393, 162.634578], [22.903367, 26.737539, 26.911093, 27.167073, 135.505192]]
### 6
fourier: [[37.622022, 42.328557, 42.608712, 43.698108, 249.497228], [59.257943, 66.763177, 67.386351, 69.028370, 368.032953], [14.896883, 16.623412, 17.003888, 17.359569, 108.438832], [26.290503, 29.932079, 29.956674, 30.787581, 154.868519], [27.816652, 31.265648, 31.504683, 32.273855, 166.078826], [53.607169, 60.398854, 61.094760, 62.505642, 312.912312], [44.294370, 49.813757, 50.319351, 51.540066, 317.250010], [40.652159, 45.258086, 46.448901, 47.324636, 230.166061]]
### 8
fourier: [[48.932603, 54.884361, 55.454105, 56.891738, 304.609310], [5.606007, 6.313017, 6.424231, 6.462057, 76.731925], [16.330768, 18.037412, 18.418728, 18.918181, 128.612556], [90.814728, 102.112903, 102.905786, 105.628402, 584.636280], [75.557842, 84.313664, 85.545490, 87.687821, 493.100412], [41.710196, 46.861153, 47.188364, 48.445146, 260.729713], [59.879109, 66.914449, 67.814529, 69.501243, 336.334657], [135.015662, 150.758542, 152.814539, 156.683392, 809.873719]]
### 10
fourier: [[35.672949, 39.244304, 40.161515, 41.175239, 177.708829], [98.330300, 109.852145, 111.187323, 114.075692, 651.563519], [14.225297, 16.123083, 16.143262, 16.582870, 118.444543], [73.194145, 81.827344, 82.829859, 84.989663, 463.953307], [9.652362, 10.102619, 10.749276, 11.183217, 11.469747], [46.101957, 51.451187, 52.178140, 53.538451, 284.402636], [2.612381, 2.889887, 2.925545, 3.023789, 13.559598], [174.506241, 194.733472, 197.348509, 202.433049, 1052.424708]]
### 12
fourier: [[24.536092, 27.534855, 27.535247, 28.521083, 127.462778], [15.490410, 17.529198, 17.743870, 18.337607, 128.030182], [79.614470, 87.772305, 89.765894, 91.321677, 518.048676], [147.757428, 166.787525, 166.823715, 172.751938, 887.580747], [8.315204, 8.883613, 9.249598, 9.462892, 86.454076], [66.291600, 73.431700, 74.461172, 76.450915, 379.777181], [63.277134, 68.729956, 71.215395, 71.816720, 414.647302], [6.297223, 6.491206, 8.074969, 8.286138, 67.669330]]
### 14
fourier: [[9.608396, 9.855653, 10.838389, 10.869944, 11.273760], [92.265436, 103.484010, 104.498135, 108.040511, 494.968185], [8.013524, 8.581925, 9.382974, 9.512021, 23.708740], [8.118297, 8.308779, 8.768132, 8.813928, 75.583644], [3.933776, 4.308050, 4.562401, 4.630033, 65.459753], [44.277791, 49.081250, 49.720972, 51.100371, 283.245711], [86.498839, 96.957530, 98.614861, 101.680134, 460.374080], [15.508547, 16.823066, 18.076237, 18.356615, 25.258220]]
### 16
fourier: [[76.460736, 84.908958, 88.081243, 90.551211, 360.959607]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.384376, -0.278474, -0.023432, -0.18984, -0.280037], [-0.512036, 0.372156, -0.163526, 0.235602, 0.035342], [-0.41983, 0.064141, -0.180911, 0.419499, 0.324], [-0.414111, -0.211138, 0.468994, -0.047675, 0.03756], [-0.304221, -0.048722, -0.179815, -0.129216, -0.33757], [-0.375479, 0.00826, 0.066695, -0.056649, 0.507031], [-0.185722, -0.568633, 0.274635, -0.229217, 0.602002], [-0.371744, -0.032408, 0.140248, -0.024486, 0.389482]], "network.0.bias": [-0.047887, 0.331203, 0.227546, 0.394262, 0.012024, -0.012138, 0.297508, -0.167125], "network.2.weight": [[-0.066751, -0.108055, 0.186436, -0.335171, -0.192614, -0.017496, 0.271053, -0.13647], [0.138877, 0.498266, 0.516108, 0.488646, 0.18892, 0.572342, 0.210463, 0.419476], [0.164481, -0.335119, 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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6924887001514435, "train_acc": 0.555, "val_loss": 0.6789297461509705, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6876015961170197, "train_acc": 0.555, "val_loss": 0.675685703754425, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6796978712081909, "train_acc": 0.555, "val_loss": 0.661817729473114, "val_acc": 0.58}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6628152430057526, "train_acc": 0.555, "val_loss": 0.6103931069374084, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6067834794521332, "train_acc": 0.48, "val_loss": 0.4668012857437134, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4747399538755417, "train_acc": 0.84, "val_loss": 0.36478519439697266, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3688202202320099, "train_acc": 0.91, "val_loss": 0.2817298173904419, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3015065938234329, "train_acc": 0.95, "val_loss": 0.24158647656440735, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.22088003903627396, "train_acc": 0.955, "val_loss": 0.22519609332084656, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.16442720592021942, "train_acc": 0.955, "val_loss": 0.2302270084619522, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.1571962907910347, "train_acc": 0.96, "val_loss": 0.2730198800563812, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.1425744779407978, "train_acc": 0.96, "val_loss": 0.31091803312301636, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 4, "improved_epochs": 8, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6789297461509705, "final_val_loss": 0.6103931069374084, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.4668012857437134, "final_val_loss": 0.31091803312301636, "initial_val_acc": 0.8, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 7}, "improvement": 0.36, "first_improvement_epoch": 3}}
|
44
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.44, "improved_accuracy": 0.8, "improvement": 0.36000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 9, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1794, "learning_rate": 0.045307675361688976, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.4.weight": [
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## Activation Signature
### 0
fourier: [[27.515117, 29.322529, 29.532480, 35.810279, 151.387731], [31.278244, 31.585231, 33.679864, 41.568745, 282.461503], [24.798320, 27.555357, 30.836629, 34.396271, 158.441928], [18.405468, 18.672539, 20.093520, 20.322984, 54.269095], [23.572501, 24.468030, 27.341490, 32.334291, 37.151448], [21.358225, 22.178452, 24.905357, 24.933199, 48.382474], [24.406634, 25.246695, 27.846394, 29.749028, 108.466977], [11.535130, 12.076107, 13.650815, 14.783576, 123.514964], [14.438350, 16.135353, 16.340472, 18.069976, 112.411282]]
### 2
fourier: [[12.029885, 12.425150, 12.754951, 15.986857, 37.854142], [11.173201, 11.284723, 12.606241, 14.225757, 81.430103], [16.348125, 16.945313, 19.947249, 20.066073, 137.142778], [10.467466, 10.686746, 10.716977, 11.271185, 15.048712], [18.595377, 18.732454, 22.264129, 22.490697, 51.317022], [9.060861, 10.882961, 11.688118, 12.625226, 29.582964], [20.470120, 20.617382, 24.395841, 30.443107, 51.864160], [20.687604, 20.970532, 22.306247, 26.034832, 63.809307], [6.105362, 6.942352, 8.583281, 9.075462, 93.978991]]
### 4
fourier: [[18.056635, 19.437758, 22.217873, 26.559639, 43.626193], [10.149302, 10.549460, 10.707682, 11.488128, 14.319061], [2.958003, 3.288472, 3.426356, 3.540253, 53.112772], [14.930252, 15.352589, 16.553747, 16.654456, 21.284170], [20.609351, 22.315840, 24.768205, 29.450683, 31.828705], [16.744386, 17.164419, 19.642177, 22.390847, 114.259409], [21.040946, 22.185216, 25.015542, 29.576670, 39.961105], [9.899968, 10.568715, 10.679834, 12.157046, 14.205893], [19.676567, 21.428193, 22.448065, 24.767328, 30.274951]]
### 6
fourier: [[34.814178, 35.108389, 40.258698, 43.811085, 53.306725], [18.253877, 21.674554, 22.928182, 25.870731, 27.731793], [26.473523, 27.502146, 33.269872, 35.313434, 43.035718], [29.425240, 32.821328, 35.318019, 37.759631, 45.809681], [29.276811, 35.077867, 38.251568, 41.317218, 46.095626], [10.950217, 11.585830, 12.502748, 14.975394, 27.126499], [35.415550, 35.845445, 42.337828, 46.075662, 55.842122], [12.367545, 13.321619, 13.974122, 17.692422, 27.703639], [11.595297, 12.916519, 15.285010, 16.006670, 19.365839]]
### 8
fourier: [[26.791645, 27.084497, 32.688254, 35.291566, 42.515523], [44.749553, 45.713258, 51.298994, 60.409377, 108.298539], [13.688649, 14.052418, 14.534096, 16.078603, 65.146221], [4.774710, 4.976660, 5.727729, 7.763941, 72.908440], [6.663126, 6.712453, 6.761201, 7.803590, 59.734897], [36.591480, 39.262865, 40.827702, 44.405662, 116.213778], [18.787643, 19.113299, 21.086204, 23.566817, 83.909537], [28.406604, 30.912243, 31.269909, 35.903337, 89.294109], [22.661176, 24.077026, 25.809758, 26.626316, 109.466144]]
### 10
fourier: [[20.187740, 21.211678, 22.601814, 26.181237, 51.824772], [16.202863, 16.810375, 17.680403, 18.653926, 58.186653], [36.478078, 36.483502, 39.750344, 45.489516, 227.841733], [17.326204, 17.612947, 19.736977, 23.034293, 33.565228], [31.085375, 32.033008, 34.627568, 35.538593, 109.119364], [47.240259, 47.587972, 48.219478, 56.054256, 261.516855], [29.137512, 30.342038, 32.615757, 36.633903, 198.411010], [29.779031, 30.065988, 31.403969, 34.709354, 147.494269], [6.452372, 7.106137, 7.107833, 8.157452, 12.455702]]
### 12
fourier: [[31.996281, 34.832007, 35.920126, 40.367720, 199.898478], [33.551768, 33.797141, 34.597200, 39.210033, 182.048387], [19.953827, 20.376829, 21.437778, 24.736413, 105.541221], [58.832635, 59.793190, 61.724882, 72.462065, 355.555436], [33.158917, 33.404292, 35.181437, 40.988641, 183.097557], [23.078356, 23.404708, 24.590453, 26.827381, 108.480172], [39.252894, 39.794482, 41.824319, 45.889491, 183.834363], [45.494641, 45.606517, 47.941644, 51.957419, 253.648933], [26.542634, 26.762580, 27.823688, 31.075569, 152.491043]]
### 14
fourier: [[50.759129, 51.518774, 52.024252, 61.441610, 317.543208]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[27.515117, 29.322529, 29.532480, 35.810279, 151.387731], [31.278244, 31.585231, 33.679864, 41.568745, 282.461503], [24.798320, 27.555357, 30.836629, 34.396271, 158.441928], [18.405468, 18.672539, 20.093520, 20.322984, 54.269095], [23.572501, 24.468030, 27.341490, 32.334291, 37.151448], [21.358225, 22.178452, 24.905357, 24.933199, 48.382474], [24.406634, 25.246695, 27.846394, 29.749028, 108.466977], [11.535130, 12.076107, 13.650815, 14.783576, 123.514964], [14.438350, 16.135353, 16.340472, 18.069976, 112.411282]]
### 2
fourier: [[12.029885, 12.425150, 12.754951, 15.986857, 37.854142], [11.173201, 11.284723, 12.606241, 14.225757, 81.430103], [16.348125, 16.945313, 19.947249, 20.066073, 137.142778], [10.467466, 10.686746, 10.716977, 11.271185, 15.048712], [18.595377, 18.732454, 22.264129, 22.490697, 51.317022], [9.060861, 10.882961, 11.688118, 12.625226, 29.582964], [20.470120, 20.617382, 24.395841, 30.443107, 51.864160], [20.687604, 20.970532, 22.306247, 26.034832, 63.809307], [6.105362, 6.942352, 8.583281, 9.075462, 93.978991]]
### 4
fourier: [[18.056635, 19.437758, 22.217873, 26.559639, 43.626193], [10.149302, 10.549460, 10.707682, 11.488128, 14.319061], [2.958003, 3.288472, 3.426356, 3.540253, 53.112772], [14.930252, 15.352589, 16.553747, 16.654456, 21.284170], [20.609351, 22.315840, 24.768205, 29.450683, 31.828705], [16.744386, 17.164419, 19.642177, 22.390847, 114.259409], [21.040946, 22.185216, 25.015542, 29.576670, 39.961105], [9.899968, 10.568715, 10.679834, 12.157046, 14.205893], [19.676567, 21.428193, 22.448065, 24.767328, 30.274951]]
### 6
fourier: [[34.814178, 35.108389, 40.258698, 43.811085, 53.306725], [18.253877, 21.674554, 22.928182, 25.870731, 27.731793], [26.473523, 27.502146, 33.269872, 35.313434, 43.035718], [29.425240, 32.821328, 35.318019, 37.759631, 45.809681], [29.276811, 35.077867, 38.251568, 41.317218, 46.095626], [10.950217, 11.585830, 12.502748, 14.975394, 27.126499], [35.415550, 35.845445, 42.337828, 46.075662, 55.842122], [12.367545, 13.321619, 13.974122, 17.692422, 27.703639], [11.595297, 12.916519, 15.285010, 16.006670, 19.365839]]
### 8
fourier: [[26.791645, 27.084497, 32.688254, 35.291566, 42.515523], [44.749553, 45.713258, 51.298994, 60.409377, 108.298539], [13.688649, 14.052418, 14.534096, 16.078603, 65.146221], [4.774710, 4.976660, 5.727729, 7.763941, 72.908440], [6.663126, 6.712453, 6.761201, 7.803590, 59.734897], [36.591480, 39.262865, 40.827702, 44.405662, 116.213778], [18.787643, 19.113299, 21.086204, 23.566817, 83.909537], [28.406604, 30.912243, 31.269909, 35.903337, 89.294109], [22.661176, 24.077026, 25.809758, 26.626316, 109.466144]]
### 10
fourier: [[20.187740, 21.211678, 22.601814, 26.181237, 51.824772], [16.202863, 16.810375, 17.680403, 18.653926, 58.186653], [36.478078, 36.483502, 39.750344, 45.489516, 227.841733], [17.326204, 17.612947, 19.736977, 23.034293, 33.565228], [31.085375, 32.033008, 34.627568, 35.538593, 109.119364], [47.240259, 47.587972, 48.219478, 56.054256, 261.516855], [29.137512, 30.342038, 32.615757, 36.633903, 198.411010], [29.779031, 30.065988, 31.403969, 34.709354, 147.494269], [6.452372, 7.106137, 7.107833, 8.157452, 12.455702]]
### 12
fourier: [[31.996281, 34.832007, 35.920126, 40.367720, 199.898478], [33.551768, 33.797141, 34.597200, 39.210033, 182.048387], [19.953827, 20.376829, 21.437778, 24.736413, 105.541221], [58.832635, 59.793190, 61.724882, 72.462065, 355.555436], [33.158917, 33.404292, 35.181437, 40.988641, 183.097557], [23.078356, 23.404708, 24.590453, 26.827381, 108.480172], [39.252894, 39.794482, 41.824319, 45.889491, 183.834363], [45.494641, 45.606517, 47.941644, 51.957419, 253.648933], [26.542634, 26.762580, 27.823688, 31.075569, 152.491043]]
### 14
fourier: [[50.759129, 51.518774, 52.024252, 61.441610, 317.543208]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6875400841236115, "train_acc": 0.58, "val_loss": 0.7228894233703613, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6790843605995178, "train_acc": 0.58, "val_loss": 0.7198421955108643, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6820292770862579, "train_acc": 0.58, "val_loss": 0.7045391798019409, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6473678052425385, "train_acc": 0.58, "val_loss": 0.6368041038513184, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5979014337062836, "train_acc": 0.565, "val_loss": 0.47610893845558167, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5528293550014496, "train_acc": 0.74, "val_loss": 0.48211097717285156, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4794248044490814, "train_acc": 0.755, "val_loss": 0.5011072754859924, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5323919355869293, "train_acc": 0.74, "val_loss": 0.5001018047332764, "val_acc": 0.76}], "summary": {"total_epochs": 8, "degraded_epochs": 4, "improved_epochs": 4, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7228894233703613, "final_val_loss": 0.6368041038513184, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.47610893845558167, "final_val_loss": 0.5001018047332764, "initial_val_acc": 0.78, "final_val_acc": 0.76, "best_val_acc": 0.8, "best_epoch": 5}, "improvement": 0.36000000000000004, "first_improvement_epoch": 3}}
|
45
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.54, "improved_accuracy": 0.74, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1955, "learning_rate": 0.09855088108934446, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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## Activation Signature
### 0
fourier: [[23.363780, 24.617588, 28.039229, 32.438939, 65.999677], [16.343537, 16.922567, 18.805622, 22.440618, 153.494113], [26.642011, 27.711719, 32.615246, 41.054236, 67.015764], [31.481812, 36.100123, 36.247479, 41.038961, 59.947806], [25.214572, 25.269614, 27.010091, 30.588040, 96.285526], [35.206732, 35.365464, 36.032234, 37.242924, 146.882955], [26.266719, 26.982530, 30.893986, 34.969490, 77.644959], [36.112989, 38.845190, 39.450761, 46.697163, 65.447678]]
### 2
fourier: [[41.254810, 41.635285, 41.843766, 47.480235, 84.806716], [32.109176, 34.731435, 36.862068, 37.518907, 217.608036], [14.044245, 15.765273, 17.923278, 24.878782, 56.667262], [23.899907, 25.973499, 26.450048, 28.477762, 32.243451], [39.094734, 39.482239, 42.247657, 43.770709, 102.995861], [21.706648, 21.713389, 22.393537, 32.923679, 68.956106], [35.464811, 38.652814, 44.297318, 54.200319, 302.020501], [59.260003, 61.569769, 62.121147, 64.826073, 163.244688]]
### 4
fourier: [[16.454404, 16.593298, 18.272443, 20.233571, 24.244514], [29.798564, 30.896753, 31.613396, 33.653509, 111.634673], [12.527478, 13.605654, 14.374050, 15.210984, 36.586233], [43.283291, 44.262060, 44.517648, 46.471072, 94.075904], [12.812293, 13.441950, 14.179649, 14.769588, 14.978858], [29.168539, 29.487582, 30.893471, 34.117873, 64.763329], [9.098052, 9.820928, 9.856744, 10.081029, 11.393888], [45.721034, 47.772636, 48.403733, 50.395828, 155.857298]]
### 6
fourier: [[18.056504, 18.510432, 18.636060, 20.385558, 64.132841], [31.455514, 32.716943, 34.291833, 34.456976, 156.528406], [71.476068, 76.151837, 76.221177, 77.445542, 304.461802], [22.623451, 23.513711, 23.986118, 24.039847, 52.537013], [47.643774, 50.627567, 51.154837, 52.553266, 179.627583], [77.639335, 77.713690, 81.724441, 83.113511, 274.999154], [18.531171, 18.565842, 19.255211, 20.362977, 53.189348], [17.101238, 17.128916, 17.391340, 18.725864, 51.631459]]
### 8
fourier: [[26.821703, 29.100184, 29.333799, 31.241229, 87.504118], [72.514776, 80.369615, 82.678759, 82.835494, 393.979421], [38.818899, 40.517371, 41.874114, 42.640939, 182.718393], [37.311957, 38.677068, 40.271229, 40.703202, 153.433612], [59.190117, 65.299344, 66.207961, 66.476406, 308.875448], [17.411874, 18.393100, 18.552864, 20.892342, 43.667758], [75.513279, 81.951691, 83.041510, 84.861615, 376.133196], [121.184918, 132.839490, 133.797502, 136.180759, 567.722201]]
### 10
fourier: [[114.211558, 126.633103, 128.786634, 128.993261, 529.044244], [90.814993, 98.600168, 99.628573, 102.078262, 489.875241], [2.700994, 2.802460, 3.434547, 3.765478, 52.690277], [108.378556, 116.946612, 118.191390, 121.667274, 476.695250], [45.142509, 49.388970, 51.416814, 51.498804, 261.857153], [136.090581, 145.093283, 148.493768, 152.238329, 644.432058], [145.422890, 157.779070, 159.226205, 163.259460, 713.779464], [81.401240, 88.378873, 88.510007, 91.659772, 453.312281]]
### 12
fourier: [[189.081418, 204.931435, 205.854133, 212.200362, 860.485209], [222.744032, 241.675353, 242.925341, 250.005153, 1057.981849], [131.330567, 141.745682, 142.880791, 147.226715, 624.567125], [61.606372, 65.921359, 66.985125, 68.872614, 273.670320], [11.572404, 12.729250, 12.848316, 13.084741, 118.363082], [48.939616, 53.157010, 53.309366, 55.040905, 237.274380], [257.565772, 280.781146, 280.974779, 289.737983, 1329.115866], [30.352038, 32.326229, 32.828188, 33.864663, 187.766588]]
### 14
fourier: [[162.564949, 176.253947, 176.590177, 182.290901, 720.182586]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[23.363780, 24.617588, 28.039229, 32.438939, 65.999677], [16.343537, 16.922567, 18.805622, 22.440618, 153.494113], [26.642011, 27.711719, 32.615246, 41.054236, 67.015764], [31.481812, 36.100123, 36.247479, 41.038961, 59.947806], [25.214572, 25.269614, 27.010091, 30.588040, 96.285526], [35.206732, 35.365464, 36.032234, 37.242924, 146.882955], [26.266719, 26.982530, 30.893986, 34.969490, 77.644959], [36.112989, 38.845190, 39.450761, 46.697163, 65.447678]]
### 2
fourier: [[41.254810, 41.635285, 41.843766, 47.480235, 84.806716], [32.109176, 34.731435, 36.862068, 37.518907, 217.608036], [14.044245, 15.765273, 17.923278, 24.878782, 56.667262], [23.899907, 25.973499, 26.450048, 28.477762, 32.243451], [39.094734, 39.482239, 42.247657, 43.770709, 102.995861], [21.706648, 21.713389, 22.393537, 32.923679, 68.956106], [35.464811, 38.652814, 44.297318, 54.200319, 302.020501], [59.260003, 61.569769, 62.121147, 64.826073, 163.244688]]
### 4
fourier: [[16.454404, 16.593298, 18.272443, 20.233571, 24.244514], [29.798564, 30.896753, 31.613396, 33.653509, 111.634673], [12.527478, 13.605654, 14.374050, 15.210984, 36.586233], [43.283291, 44.262060, 44.517648, 46.471072, 94.075904], [12.812293, 13.441950, 14.179649, 14.769588, 14.978858], [29.168539, 29.487582, 30.893471, 34.117873, 64.763329], [9.098052, 9.820928, 9.856744, 10.081029, 11.393888], [45.721034, 47.772636, 48.403733, 50.395828, 155.857298]]
### 6
fourier: [[18.056504, 18.510432, 18.636060, 20.385558, 64.132841], [31.455514, 32.716943, 34.291833, 34.456976, 156.528406], [71.476068, 76.151837, 76.221177, 77.445542, 304.461802], [22.623451, 23.513711, 23.986118, 24.039847, 52.537013], [47.643774, 50.627567, 51.154837, 52.553266, 179.627583], [77.639335, 77.713690, 81.724441, 83.113511, 274.999154], [18.531171, 18.565842, 19.255211, 20.362977, 53.189348], [17.101238, 17.128916, 17.391340, 18.725864, 51.631459]]
### 8
fourier: [[26.821703, 29.100184, 29.333799, 31.241229, 87.504118], [72.514776, 80.369615, 82.678759, 82.835494, 393.979421], [38.818899, 40.517371, 41.874114, 42.640939, 182.718393], [37.311957, 38.677068, 40.271229, 40.703202, 153.433612], [59.190117, 65.299344, 66.207961, 66.476406, 308.875448], [17.411874, 18.393100, 18.552864, 20.892342, 43.667758], [75.513279, 81.951691, 83.041510, 84.861615, 376.133196], [121.184918, 132.839490, 133.797502, 136.180759, 567.722201]]
### 10
fourier: [[114.211558, 126.633103, 128.786634, 128.993261, 529.044244], [90.814993, 98.600168, 99.628573, 102.078262, 489.875241], [2.700994, 2.802460, 3.434547, 3.765478, 52.690277], [108.378556, 116.946612, 118.191390, 121.667274, 476.695250], [45.142509, 49.388970, 51.416814, 51.498804, 261.857153], [136.090581, 145.093283, 148.493768, 152.238329, 644.432058], [145.422890, 157.779070, 159.226205, 163.259460, 713.779464], [81.401240, 88.378873, 88.510007, 91.659772, 453.312281]]
### 12
fourier: [[189.081418, 204.931435, 205.854133, 212.200362, 860.485209], [222.744032, 241.675353, 242.925341, 250.005153, 1057.981849], [131.330567, 141.745682, 142.880791, 147.226715, 624.567125], [61.606372, 65.921359, 66.985125, 68.872614, 273.670320], [11.572404, 12.729250, 12.848316, 13.084741, 118.363082], [48.939616, 53.157010, 53.309366, 55.040905, 237.274380], [257.565772, 280.781146, 280.974779, 289.737983, 1329.115866], [30.352038, 32.326229, 32.828188, 33.864663, 187.766588]]
### 14
fourier: [[162.564949, 176.253947, 176.590177, 182.290901, 720.182586]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6993883848190308, "train_acc": 0.445, "val_loss": 0.6091987490653992, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 1.193991243839264, "train_acc": 0.565, "val_loss": 0.5642812848091125, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.535923033952713, "train_acc": 0.61, "val_loss": 0.7060254812240601, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.8804055452346802, "train_acc": 0.49, "val_loss": 0.5217459797859192, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.672487199306488, "train_acc": 0.74, "val_loss": 0.47166141867637634, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5162744373083115, "train_acc": 0.745, "val_loss": 0.544301450252533, "val_acc": 0.68}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5687157213687897, "train_acc": 0.685, "val_loss": 0.5620570182800293, "val_acc": 0.66}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5657970309257507, "train_acc": 0.675, "val_loss": 0.5492006540298462, "val_acc": 0.66}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6091987490653992, "final_val_loss": 0.5642812848091125, "initial_val_acc": 0.56, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.7060254812240601, "final_val_loss": 0.5492006540298462, "initial_val_acc": 0.58, "final_val_acc": 0.66, "best_val_acc": 0.74, "best_epoch": 4}, "improvement": 0.19999999999999996, "first_improvement_epoch": 1}}
|
46
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.54, "improved_accuracy": 0.84, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8626, "learning_rate": 0.025625677963126224, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[25.787500, 25.922688, 26.780717, 30.125635, 162.349810], [21.925161, 23.643058, 28.024629, 29.208894, 172.617133], [13.393914, 15.246684, 15.342363, 16.432323, 31.495715], [13.853901, 13.955707, 16.608944, 17.828416, 17.990079], [19.792377, 19.837607, 20.271697, 23.457257, 82.262300], [27.407748, 28.345984, 29.615722, 30.460984, 61.981319], [29.532111, 29.729974, 31.613225, 37.048716, 282.752851], [25.346425, 25.894972, 26.493577, 26.624468, 31.837686], [28.157955, 30.194414, 32.102362, 37.044953, 96.059200], [25.317135, 26.297237, 26.298976, 28.151970, 121.856649]]
### 2
fourier: [[25.240451, 25.844598, 26.089472, 30.710005, 167.271244], [42.719329, 43.531199, 44.111567, 44.170273, 219.465376], [10.771706, 11.787885, 12.404558, 12.662399, 109.656600], [13.839522, 14.048290, 14.455023, 15.026585, 111.424917], [8.537887, 9.207426, 9.856198, 10.556345, 27.464810], [13.348761, 14.185269, 14.603624, 16.542969, 103.166894], [6.827301, 7.316389, 8.535292, 8.883039, 10.214199], [23.704492, 27.777148, 28.514481, 30.069369, 189.348224], [30.185816, 30.438887, 31.588933, 35.525191, 133.519506], [12.524214, 13.037616, 13.154332, 15.456927, 111.061843]]
### 4
fourier: [[16.365626, 17.561813, 18.511842, 19.918130, 21.648874], [5.581690, 5.953471, 6.288561, 7.661112, 82.379385], [23.133964, 24.584083, 26.684093, 27.191329, 174.284527], [1.935188, 2.051802, 2.190219, 2.230458, 8.083773], [10.576706, 11.291888, 11.664039, 11.766938, 14.298482], [13.240591, 14.221492, 14.979429, 17.151732, 111.966046], [25.640318, 26.080713, 27.064539, 27.171265, 124.091288], [29.447371, 29.846266, 30.514766, 30.594797, 166.532446], [8.296413, 8.591504, 8.930027, 10.471334, 84.507392], [17.290896, 17.970149, 18.119820, 20.538869, 22.814648]]
### 6
fourier: [[29.807935, 30.357940, 31.014794, 31.635503, 166.232386], [16.896852, 19.878793, 20.310792, 20.460740, 141.560863], [30.370064, 30.607523, 31.401916, 31.966469, 162.378400], [18.100111, 18.823745, 18.935436, 18.941223, 82.951255], [3.625968, 3.924142, 4.429247, 5.756110, 29.697756], [8.756835, 9.546592, 9.598371, 10.608018, 53.898005], [4.442738, 4.699898, 4.809662, 5.589417, 61.562755], [33.461194, 34.324402, 35.892895, 36.668960, 176.367412], [11.949639, 12.135481, 13.080813, 13.926396, 15.039106], [36.499128, 38.453458, 39.991172, 41.045285, 213.960837]]
### 8
fourier: [[8.335386, 8.767531, 9.129227, 9.442110, 88.825919], [55.270714, 57.603588, 58.076026, 63.035942, 285.026226], [8.947322, 9.022717, 9.069393, 9.401825, 74.185109], [28.086892, 29.223781, 29.981706, 32.966843, 85.484853], [73.206420, 73.448713, 75.203071, 78.436298, 387.556557], [51.952462, 53.256093, 54.337081, 57.418260, 279.869892], [11.895382, 12.979815, 13.504656, 13.536568, 15.431993], [37.862320, 40.039094, 40.515481, 42.982373, 234.614451], [5.202123, 5.207926, 5.240751, 5.702225, 37.150852], [13.853027, 14.467187, 15.314499, 16.642580, 82.068026]]
### 10
fourier: [[27.244927, 27.415786, 29.058748, 31.919529, 89.690250], [88.595449, 92.961755, 93.156483, 100.342317, 492.062446], [7.516025, 7.724090, 9.019623, 9.308693, 63.390473], [84.016886, 87.768781, 87.780874, 94.429434, 461.606858], [6.609439, 6.949721, 7.077637, 7.154268, 12.799558], [10.456363, 11.314221, 11.405388, 12.426492, 37.721968], [10.328774, 10.696885, 11.432977, 12.560786, 78.091190], [31.502097, 31.954171, 33.197668, 33.673601, 206.647213], [3.784691, 3.981394, 4.995309, 5.607727, 56.949680], [34.335314, 36.186632, 36.758403, 39.868143, 134.822326]]
### 12
fourier: [[39.144331, 39.843595, 40.905753, 43.820975, 175.927257], [26.084214, 26.397476, 26.452678, 28.048820, 157.179238], [69.041644, 72.248811, 73.177361, 77.927058, 390.245498], [16.502015, 16.608916, 16.788330, 17.467211, 101.497065], [19.474943, 20.601444, 21.095910, 22.107277, 48.025722], [32.987494, 33.415254, 33.447593, 35.537176, 164.466941], [23.590474, 24.669190, 24.805326, 26.242400, 125.885719], [17.504187, 17.981680, 18.123248, 19.289066, 112.533504], [16.667722, 17.156358, 17.431953, 18.526802, 104.488601], [15.998365, 17.371141, 18.333108, 18.842572, 37.925530]]
### 14
fourier: [[34.574481, 35.492645, 35.800656, 37.814912, 170.281676]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[25.787500, 25.922688, 26.780717, 30.125635, 162.349810], [21.925161, 23.643058, 28.024629, 29.208894, 172.617133], [13.393914, 15.246684, 15.342363, 16.432323, 31.495715], [13.853901, 13.955707, 16.608944, 17.828416, 17.990079], [19.792377, 19.837607, 20.271697, 23.457257, 82.262300], [27.407748, 28.345984, 29.615722, 30.460984, 61.981319], [29.532111, 29.729974, 31.613225, 37.048716, 282.752851], [25.346425, 25.894972, 26.493577, 26.624468, 31.837686], [28.157955, 30.194414, 32.102362, 37.044953, 96.059200], [25.317135, 26.297237, 26.298976, 28.151970, 121.856649]]
### 2
fourier: [[25.240451, 25.844598, 26.089472, 30.710005, 167.271244], [42.719329, 43.531199, 44.111567, 44.170273, 219.465376], [10.771706, 11.787885, 12.404558, 12.662399, 109.656600], [13.839522, 14.048290, 14.455023, 15.026585, 111.424917], [8.537887, 9.207426, 9.856198, 10.556345, 27.464810], [13.348761, 14.185269, 14.603624, 16.542969, 103.166894], [6.827301, 7.316389, 8.535292, 8.883039, 10.214199], [23.704492, 27.777148, 28.514481, 30.069369, 189.348224], [30.185816, 30.438887, 31.588933, 35.525191, 133.519506], [12.524214, 13.037616, 13.154332, 15.456927, 111.061843]]
### 4
fourier: [[16.365626, 17.561813, 18.511842, 19.918130, 21.648874], [5.581690, 5.953471, 6.288561, 7.661112, 82.379385], [23.133964, 24.584083, 26.684093, 27.191329, 174.284527], [1.935188, 2.051802, 2.190219, 2.230458, 8.083773], [10.576706, 11.291888, 11.664039, 11.766938, 14.298482], [13.240591, 14.221492, 14.979429, 17.151732, 111.966046], [25.640318, 26.080713, 27.064539, 27.171265, 124.091288], [29.447371, 29.846266, 30.514766, 30.594797, 166.532446], [8.296413, 8.591504, 8.930027, 10.471334, 84.507392], [17.290896, 17.970149, 18.119820, 20.538869, 22.814648]]
### 6
fourier: [[29.807935, 30.357940, 31.014794, 31.635503, 166.232386], [16.896852, 19.878793, 20.310792, 20.460740, 141.560863], [30.370064, 30.607523, 31.401916, 31.966469, 162.378400], [18.100111, 18.823745, 18.935436, 18.941223, 82.951255], [3.625968, 3.924142, 4.429247, 5.756110, 29.697756], [8.756835, 9.546592, 9.598371, 10.608018, 53.898005], [4.442738, 4.699898, 4.809662, 5.589417, 61.562755], [33.461194, 34.324402, 35.892895, 36.668960, 176.367412], [11.949639, 12.135481, 13.080813, 13.926396, 15.039106], [36.499128, 38.453458, 39.991172, 41.045285, 213.960837]]
### 8
fourier: [[8.335386, 8.767531, 9.129227, 9.442110, 88.825919], [55.270714, 57.603588, 58.076026, 63.035942, 285.026226], [8.947322, 9.022717, 9.069393, 9.401825, 74.185109], [28.086892, 29.223781, 29.981706, 32.966843, 85.484853], [73.206420, 73.448713, 75.203071, 78.436298, 387.556557], [51.952462, 53.256093, 54.337081, 57.418260, 279.869892], [11.895382, 12.979815, 13.504656, 13.536568, 15.431993], [37.862320, 40.039094, 40.515481, 42.982373, 234.614451], [5.202123, 5.207926, 5.240751, 5.702225, 37.150852], [13.853027, 14.467187, 15.314499, 16.642580, 82.068026]]
### 10
fourier: [[27.244927, 27.415786, 29.058748, 31.919529, 89.690250], [88.595449, 92.961755, 93.156483, 100.342317, 492.062446], [7.516025, 7.724090, 9.019623, 9.308693, 63.390473], [84.016886, 87.768781, 87.780874, 94.429434, 461.606858], [6.609439, 6.949721, 7.077637, 7.154268, 12.799558], [10.456363, 11.314221, 11.405388, 12.426492, 37.721968], [10.328774, 10.696885, 11.432977, 12.560786, 78.091190], [31.502097, 31.954171, 33.197668, 33.673601, 206.647213], [3.784691, 3.981394, 4.995309, 5.607727, 56.949680], [34.335314, 36.186632, 36.758403, 39.868143, 134.822326]]
### 12
fourier: [[39.144331, 39.843595, 40.905753, 43.820975, 175.927257], [26.084214, 26.397476, 26.452678, 28.048820, 157.179238], [69.041644, 72.248811, 73.177361, 77.927058, 390.245498], [16.502015, 16.608916, 16.788330, 17.467211, 101.497065], [19.474943, 20.601444, 21.095910, 22.107277, 48.025722], [32.987494, 33.415254, 33.447593, 35.537176, 164.466941], [23.590474, 24.669190, 24.805326, 26.242400, 125.885719], [17.504187, 17.981680, 18.123248, 19.289066, 112.533504], [16.667722, 17.156358, 17.431953, 18.526802, 104.488601], [15.998365, 17.371141, 18.333108, 18.842572, 37.925530]]
### 14
fourier: [[34.574481, 35.492645, 35.800656, 37.814912, 170.281676]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6859495937824249, "train_acc": 0.56, "val_loss": 0.6894055008888245, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.681162029504776, "train_acc": 0.56, "val_loss": 0.6871804594993591, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6786786317825317, "train_acc": 0.56, "val_loss": 0.6752793788909912, "val_acc": 0.54}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6663123071193695, "train_acc": 0.56, "val_loss": 0.6303531527519226, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.632165402173996, "train_acc": 0.565, "val_loss": 0.4858514666557312, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.47050757706165314, "train_acc": 0.82, "val_loss": 0.36689162254333496, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.39544932544231415, "train_acc": 0.81, "val_loss": 0.40594637393951416, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4125698506832123, "train_acc": 0.84, "val_loss": 0.40489891171455383, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3099575489759445, "train_acc": 0.87, "val_loss": 0.4398866295814514, "val_acc": 0.82}], "summary": {"total_epochs": 9, "degraded_epochs": 4, "improved_epochs": 5, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6894055008888245, "final_val_loss": 0.6303531527519226, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.4858514666557312, "final_val_loss": 0.4398866295814514, "initial_val_acc": 0.82, "final_val_acc": 0.82, "best_val_acc": 0.84, "best_epoch": 5}, "improvement": 0.29999999999999993, "first_improvement_epoch": 3}}
|
47
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.72, "improved_accuracy": 0.94, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9169, "learning_rate": 0.02856298291523507, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[22.588198, 23.290926, 25.635201, 28.689863, 141.175354], [15.474983, 15.789454, 17.241865, 17.818904, 39.090423], [17.198807, 17.283931, 17.683057, 21.955700, 45.141138], [27.193973, 27.501249, 30.794123, 32.790555, 96.814017], [24.165398, 25.221207, 27.453938, 31.020691, 117.046806], [25.698667, 27.900970, 30.249034, 31.573875, 160.066252], [17.696739, 17.718303, 17.972728, 21.927102, 127.566891], [44.000418, 44.424008, 47.983751, 51.171202, 269.780182]]
### 2
fourier: [[12.186298, 12.257741, 14.108908, 14.614017, 104.485378], [17.791672, 18.390895, 19.630111, 19.825890, 109.389341], [12.902294, 13.571480, 14.150821, 14.733740, 48.891034], [17.140407, 17.911858, 19.529177, 21.203464, 89.098521], [8.089111, 8.857396, 10.011954, 10.227006, 76.920650], [22.644705, 22.993988, 24.512491, 25.319016, 158.657595], [17.064767, 17.616549, 17.876156, 18.877235, 24.838303], [13.229919, 13.596212, 14.075106, 15.769576, 90.808045]]
### 4
fourier: [[8.434482, 9.307792, 10.282308, 10.407277, 40.125212], [11.935419, 12.169660, 12.174943, 12.564486, 14.552598], [3.869622, 4.074779, 4.347398, 4.713224, 27.072840], [9.015957, 9.117456, 10.128218, 11.879592, 12.195806], [11.696734, 12.657322, 13.226473, 14.285096, 89.928395], [17.975711, 17.990027, 20.814731, 24.266656, 59.180722], [12.388316, 12.683145, 12.988413, 14.852485, 107.481975], [14.409628, 16.209931, 17.464918, 17.525934, 104.600272]]
### 6
fourier: [[16.833162, 18.489347, 19.533746, 19.562487, 85.485637], [13.347366, 15.687819, 15.709731, 16.482952, 92.401800], [16.951368, 19.910864, 21.009210, 21.879737, 74.544849], [25.760537, 26.104200, 26.305199, 30.477374, 165.252599], [12.946212, 14.032131, 15.995900, 16.110821, 50.508444], [8.970962, 8.978305, 10.061059, 10.754526, 18.189977], [23.011328, 23.186766, 26.059202, 27.169618, 161.524571], [12.623436, 13.812380, 14.790610, 16.322261, 50.737373]]
### 8
fourier: [[20.920447, 23.482012, 25.078110, 28.653720, 172.407968], [11.914417, 12.046723, 12.401046, 13.578148, 93.531119], [10.173574, 10.568010, 11.309112, 14.482241, 81.236082], [20.051255, 22.857205, 23.631070, 28.155441, 143.878569], [12.639270, 13.874488, 14.406278, 18.875666, 89.698903], [6.651064, 6.665459, 7.479767, 7.546061, 47.851320], [14.521435, 15.059279, 16.443727, 20.988082, 100.158238], [7.891730, 8.285376, 8.920620, 11.162787, 76.742150]]
### 10
fourier: [[11.589160, 12.236784, 13.422115, 17.177079, 97.610334], [7.212867, 7.770671, 8.481951, 9.584362, 35.096747], [13.016611, 13.734722, 15.203480, 19.290114, 75.849621], [13.822365, 15.023754, 16.936742, 17.763740, 123.136379], [14.147984, 14.916136, 16.513517, 20.865747, 152.252519], [13.482146, 14.540269, 15.572031, 17.578836, 115.891942], [10.641048, 11.061571, 12.205216, 15.512765, 129.020010], [7.273832, 7.354655, 7.567143, 8.890564, 16.595746]]
### 12
fourier: [[21.364445, 23.323912, 24.437341, 31.670065, 284.277916]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[22.588198, 23.290926, 25.635201, 28.689863, 141.175354], [15.474983, 15.789454, 17.241865, 17.818904, 39.090423], [17.198807, 17.283931, 17.683057, 21.955700, 45.141138], [27.193973, 27.501249, 30.794123, 32.790555, 96.814017], [24.165398, 25.221207, 27.453938, 31.020691, 117.046806], [25.698667, 27.900970, 30.249034, 31.573875, 160.066252], [17.696739, 17.718303, 17.972728, 21.927102, 127.566891], [44.000418, 44.424008, 47.983751, 51.171202, 269.780182]]
### 2
fourier: [[12.186298, 12.257741, 14.108908, 14.614017, 104.485378], [17.791672, 18.390895, 19.630111, 19.825890, 109.389341], [12.902294, 13.571480, 14.150821, 14.733740, 48.891034], [17.140407, 17.911858, 19.529177, 21.203464, 89.098521], [8.089111, 8.857396, 10.011954, 10.227006, 76.920650], [22.644705, 22.993988, 24.512491, 25.319016, 158.657595], [17.064767, 17.616549, 17.876156, 18.877235, 24.838303], [13.229919, 13.596212, 14.075106, 15.769576, 90.808045]]
### 4
fourier: [[8.434482, 9.307792, 10.282308, 10.407277, 40.125212], [11.935419, 12.169660, 12.174943, 12.564486, 14.552598], [3.869622, 4.074779, 4.347398, 4.713224, 27.072840], [9.015957, 9.117456, 10.128218, 11.879592, 12.195806], [11.696734, 12.657322, 13.226473, 14.285096, 89.928395], [17.975711, 17.990027, 20.814731, 24.266656, 59.180722], [12.388316, 12.683145, 12.988413, 14.852485, 107.481975], [14.409628, 16.209931, 17.464918, 17.525934, 104.600272]]
### 6
fourier: [[16.833162, 18.489347, 19.533746, 19.562487, 85.485637], [13.347366, 15.687819, 15.709731, 16.482952, 92.401800], [16.951368, 19.910864, 21.009210, 21.879737, 74.544849], [25.760537, 26.104200, 26.305199, 30.477374, 165.252599], [12.946212, 14.032131, 15.995900, 16.110821, 50.508444], [8.970962, 8.978305, 10.061059, 10.754526, 18.189977], [23.011328, 23.186766, 26.059202, 27.169618, 161.524571], [12.623436, 13.812380, 14.790610, 16.322261, 50.737373]]
### 8
fourier: [[20.920447, 23.482012, 25.078110, 28.653720, 172.407968], [11.914417, 12.046723, 12.401046, 13.578148, 93.531119], [10.173574, 10.568010, 11.309112, 14.482241, 81.236082], [20.051255, 22.857205, 23.631070, 28.155441, 143.878569], [12.639270, 13.874488, 14.406278, 18.875666, 89.698903], [6.651064, 6.665459, 7.479767, 7.546061, 47.851320], [14.521435, 15.059279, 16.443727, 20.988082, 100.158238], [7.891730, 8.285376, 8.920620, 11.162787, 76.742150]]
### 10
fourier: [[11.589160, 12.236784, 13.422115, 17.177079, 97.610334], [7.212867, 7.770671, 8.481951, 9.584362, 35.096747], [13.016611, 13.734722, 15.203480, 19.290114, 75.849621], [13.822365, 15.023754, 16.936742, 17.763740, 123.136379], [14.147984, 14.916136, 16.513517, 20.865747, 152.252519], [13.482146, 14.540269, 15.572031, 17.578836, 115.891942], [10.641048, 11.061571, 12.205216, 15.512765, 129.020010], [7.273832, 7.354655, 7.567143, 8.890564, 16.595746]]
### 12
fourier: [[21.364445, 23.323912, 24.437341, 31.670065, 284.277916]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.053408, 0.049542, -0.26834, -0.284639, -0.561466], [-0.336663, 0.036876, 0.269271, 0.324766, -0.027769], [-0.026769, -0.575742, 0.057779, 0.240574, 0.105557], [-0.675434, -0.332467, -0.086244, 0.041934, 0.293729], [-0.477055, -0.111676, 0.584366, 0.432342, 0.144521], [-0.425696, 0.582356, 0.085045, 0.160084, 0.614771], [0.133361, 0.094189, 0.309767, 0.38457, -0.428262], [0.745563, 0.674024, 0.44566, 0.167383, -0.429926]], "network.0.bias": [0.138044, -0.438572, -0.185904, 0.098622, -0.228365, -0.03207, 0.136248, 0.08189], "network.2.weight": [[-0.018673, -0.244727, -0.176019, -0.163598, -0.142278, -0.185896, 0.114156, -0.231396], [-0.115302, -0.31549, 0.533821, 0.149363, 0.139512, -0.405444, -0.260537, -0.116909], [0.621213, -0.073371, -0.084808, -0.674706, 0.000914, 0.340984, -0.389807, 0.301784], [-0.388028, -0.373785, 0.109449, 0.562538, -0.145173, 0.001849, 0.420151, 0.301765], [0.107434, -0.084155, -0.005321, 0.07587, -0.097887, -0.149902, 0.159601, -0.18721], [0.688156, 0.017173, -0.653571, -0.121963, 0.350775, 0.432137, 0.245796, 0.180164], [-0.224766, -0.142595, 0.222059, 0.331109, 0.269272, 0.22854, 0.248324, -0.434982], [-0.149438, 0.221175, 0.336226, 0.454111, -0.22351, -0.12961, 0.028466, 0.324992]], "network.2.bias": [0.054791, 0.136921, -0.299813, -0.158203, -0.067878, -0.284463, 0.346061, 0.352859], "network.4.weight": [[0.080547, 0.000296, -0.368882, 0.077847, -0.362294, -0.208897, 0.549927, 0.186751], [0.024455, 0.416799, 0.016701, -0.500428, 0.230159, 0.392262, 0.144537, -0.260339], [0.100075, 0.022767, -0.177754, 0.22578, -0.387189, -0.061271, 0.330822, 0.100627], [-0.178591, 0.251496, 0.324968, -0.246968, -0.18276, 0.358745, 0.012707, -0.481812], [-0.11409, -0.209914, -0.109769, 0.361262, -0.050936, -0.134901, 0.064709, 0.538242], [-0.290745, 0.161826, 0.210126, 0.28741, -0.413705, 0.027982, -0.662052, 0.570086], [-0.549242, -0.409366, -0.463602, 0.56336, -0.418753, -0.149872, 0.379532, 0.488446], [0.051395, -0.178657, 0.361374, 0.149687, -0.160932, 0.314469, -0.126044, 0.196987]], "network.4.bias": [0.500839, -0.024759, 0.030826, -0.135953, 0.412963, -0.073017, 0.455142, 0.13301], "network.6.weight": [[-0.261793, 0.153434, -0.219799, 0.33075, -0.382624, -0.43515, -0.444216, 0.195548], [-0.571734, 0.430438, -0.041288, 0.144553, -0.212178, -0.346374, -0.454161, 0.137973], [-0.471117, 0.52863, -0.038904, 0.525388, -0.444212, -0.10388, -0.681569, 0.049422], [0.104073, -0.289626, 0.448719, -0.022772, 0.451859, 0.476367, 0.679774, 0.192909], [-0.404583, 0.508257, -0.076031, 0.479465, -0.345114, -0.393169, -0.234532, 0.348603], [0.14679, -0.120155, 0.172894, -0.335364, 0.295165, -0.391109, 0.093657, -0.244354], [0.496337, -0.317616, 0.120019, -0.298583, 0.763413, 0.308533, 0.118294, 0.61456], [-0.154736, 0.108742, -0.216909, 0.397582, -0.263376, -0.26864, -0.559033, 0.37214]], "network.6.bias": [0.044683, -0.107765, 0.339463, 0.070061, -0.075545, 0.368763, 0.001516, 0.095081], "network.8.weight": [[-0.29608, -0.464379, -0.046398, 0.276869, -0.172949, 0.301406, 0.615106, -0.203633], [-0.321048, -0.133423, -0.335905, -0.273964, -0.547526, -0.279706, -0.093111, -0.011586], [0.343868, 0.012481, 0.208702, -0.349633, 0.500974, -0.395525, 0.033272, -0.002816], [0.440511, 0.420096, 0.097587, -0.470044, 0.21475, -0.494267, -0.362235, 0.256807], [0.079559, 0.538327, 0.401591, -0.067991, 0.358307, -0.005852, -0.328674, 0.113207], [-0.029936, -0.129841, -0.463411, -0.348963, 0.192746, 0.15287, 0.153329, 0.020697], [-0.014015, 0.003475, 0.445599, -0.274672, 0.435093, -0.150711, -0.209309, 0.341019], [0.175071, 0.130632, 0.262267, -0.072435, -0.093079, 0.092897, -0.218105, 0.177214]], "network.8.bias": [0.267601, -0.359787, -0.251166, 0.003987, -0.278728, -0.229697, -0.257228, -0.3533], "network.10.weight": [[-0.44545, 0.246086, 0.441622, 0.449339, 0.183769, -0.559197, -0.014234, 0.137347], [-0.12257, 0.004602, 0.027611, 0.450849, 0.240319, -0.144373, 0.496825, -0.189771], [-0.503193, -0.108964, 0.063364, 0.40784, 0.530148, -0.485469, 0.088083, 0.298066], [0.196265, -0.218275, -0.526773, -0.552494, -0.728056, -0.322601, -0.54858, -0.354265], [0.543169, 0.069869, -0.257781, -0.411377, -0.311724, 0.011313, -0.221341, -0.312155], [0.248229, -0.333677, -0.539402, -0.559403, -0.57163, -0.494065, -0.446497, -0.164536], [0.4015, -0.231157, -0.223606, -0.019104, -0.064758, 0.253944, -0.543372, -0.300007], [0.002024, -0.050298, 0.077375, 0.510611, 0.51603, -0.388474, 0.283234, 0.048045]], "network.10.bias": [-0.219893, -0.158242, 0.105865, 0.774247, 0.592721, 0.594093, 0.60402, -0.183182], "network.12.weight": [[0.303813, 0.371479, 0.212838, -0.778629, -0.413977, -0.468539, -0.425749, 0.212375]], "network.12.bias": [-0.139707]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6911517381668091, "train_acc": 0.555, "val_loss": 0.691301703453064, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6831766068935394, "train_acc": 0.555, "val_loss": 0.6736802458763123, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.664833277463913, "train_acc": 0.62, "val_loss": 0.6247331500053406, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6418777704238892, "train_acc": 0.69, "val_loss": 0.5772922039031982, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5768610835075378, "train_acc": 0.73, "val_loss": 0.5339184403419495, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5303548872470856, "train_acc": 0.79, "val_loss": 0.4665580689907074, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.45202571153640747, "train_acc": 0.825, "val_loss": 0.32964783906936646, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.359311506152153, "train_acc": 0.86, "val_loss": 0.33643707633018494, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.32605986297130585, "train_acc": 0.88, "val_loss": 0.22350333631038666, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3009576201438904, "train_acc": 0.895, "val_loss": 0.225914865732193, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2965373545885086, "train_acc": 0.89, "val_loss": 0.2995767295360565, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.34933287650346756, "train_acc": 0.85, "val_loss": 0.24452024698257446, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.691301703453064, "final_val_loss": 0.6247331500053406, "initial_val_acc": 0.52, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.5772922039031982, "final_val_loss": 0.24452024698257446, "initial_val_acc": 0.8, "final_val_acc": 0.88, "best_val_acc": 0.94, "best_epoch": 8}, "improvement": 0.21999999999999997, "first_improvement_epoch": 2}}
|
48
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.96, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2026, "learning_rate": 0.03338577609673197, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[17.869690, 19.779118, 19.825839, 20.932467, 20.981651], [23.140886, 23.593695, 26.747569, 31.909716, 40.428360], [19.940720, 25.228514, 28.216692, 28.652534, 39.399474], [21.341622, 27.629423, 28.793051, 28.888351, 150.793085], [22.703279, 25.831247, 27.564504, 28.003353, 144.066737], [20.338709, 22.110980, 23.469226, 29.710894, 33.898257], [23.460611, 24.040461, 27.178851, 29.453060, 100.642098], [18.717174, 19.706234, 20.087143, 21.373260, 120.081227], [15.101201, 15.664637, 16.254315, 18.910029, 56.501687], [23.444027, 23.476056, 27.039345, 27.562464, 112.939874]]
### 2
fourier: [[15.888334, 16.055381, 20.255504, 22.407715, 172.898695], [8.929691, 10.106012, 10.928941, 10.995362, 83.159874], [7.989711, 8.356668, 8.720486, 9.794760, 102.790984], [13.767604, 17.968279, 18.727794, 19.685797, 109.908568], [32.248742, 35.783536, 35.805989, 38.040099, 182.014159], [13.980504, 14.485146, 15.200259, 15.404766, 70.401746], [24.346513, 28.569476, 30.911506, 34.646678, 130.384201], [14.344031, 15.709224, 17.027071, 18.595523, 20.333021], [18.610562, 18.734757, 19.251029, 22.141804, 24.418097], [9.134972, 9.414642, 12.328410, 12.445326, 13.180520]]
### 4
fourier: [[11.633435, 12.280530, 12.917802, 13.299076, 22.387471], [9.870317, 9.952272, 10.039262, 13.281535, 36.368272], [40.115283, 42.578247, 44.746305, 52.169895, 199.851783], [30.696102, 32.970243, 33.047935, 41.008266, 173.966456], [25.022530, 25.150258, 26.500512, 30.067388, 127.494621], [23.995768, 27.069328, 27.840492, 32.522146, 157.563593], [23.866705, 24.422445, 24.497249, 28.227687, 125.619303], [5.410027, 5.675558, 6.333152, 7.526755, 8.110356], [18.768983, 22.088748, 22.498455, 26.622509, 134.955998], [12.759745, 14.787286, 15.307730, 15.319897, 101.120883]]
### 6
fourier: [[74.040028, 76.100503, 79.557615, 95.074803, 457.427247], [11.702939, 13.202140, 13.233751, 16.210951, 115.928530], [59.024606, 60.624785, 62.406951, 76.364497, 350.887889], [6.201632, 6.615866, 7.094613, 8.128435, 46.121193], [75.573647, 76.833224, 80.617835, 96.984813, 457.876440], [66.792841, 68.648655, 73.042948, 87.071146, 499.374652], [65.266237, 68.420861, 71.572059, 86.161814, 411.495473], [24.228202, 24.824588, 25.160308, 30.757344, 59.037287], [82.034244, 85.246007, 89.068034, 106.828591, 526.190529], [17.225618, 17.577175, 19.208813, 22.314136, 150.650841]]
### 8
fourier: [[179.136068, 183.395443, 193.427470, 232.829493, 1145.838431], [97.539560, 99.904823, 105.647911, 126.612932, 710.838654], [127.925437, 129.833213, 137.001419, 165.263857, 810.177412], [214.725186, 218.940166, 231.207539, 278.057829, 1371.098842], [14.768839, 19.146798, 19.549070, 19.993481, 24.717210], [60.738582, 61.862682, 65.289290, 78.146328, 410.168984], [163.345253, 167.424390, 176.256830, 212.334893, 1049.851352], [53.959913, 55.542361, 58.594865, 70.641995, 355.954930], [117.392402, 120.077793, 126.917763, 152.400215, 763.588875], [17.111461, 18.187402, 18.970299, 22.989161, 142.159324]]
### 10
fourier: [[95.489788, 97.465800, 102.930244, 123.358592, 690.355704], [191.527340, 195.748928, 206.430861, 248.713882, 1177.734289], [115.334302, 118.369865, 124.814955, 150.187174, 773.877769], [10.374324, 13.011467, 13.468019, 14.276225, 17.401865], [143.268355, 146.876596, 154.939604, 187.191296, 773.009866], [128.757392, 131.268776, 138.600397, 166.573453, 909.872878], [13.182174, 13.758281, 14.571943, 16.214560, 182.088840], [476.011076, 486.556739, 513.433013, 618.239897, 3028.685546], [257.060817, 263.327898, 277.752941, 334.301520, 1665.416616], [246.159074, 251.937079, 265.844440, 320.448518, 1532.646270]]
### 12
fourier: [[446.147291, 461.643786, 484.920490, 583.385998, 2713.562075]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[17.869690, 19.779118, 19.825839, 20.932467, 20.981651], [23.140886, 23.593695, 26.747569, 31.909716, 40.428360], [19.940720, 25.228514, 28.216692, 28.652534, 39.399474], [21.341622, 27.629423, 28.793051, 28.888351, 150.793085], [22.703279, 25.831247, 27.564504, 28.003353, 144.066737], [20.338709, 22.110980, 23.469226, 29.710894, 33.898257], [23.460611, 24.040461, 27.178851, 29.453060, 100.642098], [18.717174, 19.706234, 20.087143, 21.373260, 120.081227], [15.101201, 15.664637, 16.254315, 18.910029, 56.501687], [23.444027, 23.476056, 27.039345, 27.562464, 112.939874]]
### 2
fourier: [[15.888334, 16.055381, 20.255504, 22.407715, 172.898695], [8.929691, 10.106012, 10.928941, 10.995362, 83.159874], [7.989711, 8.356668, 8.720486, 9.794760, 102.790984], [13.767604, 17.968279, 18.727794, 19.685797, 109.908568], [32.248742, 35.783536, 35.805989, 38.040099, 182.014159], [13.980504, 14.485146, 15.200259, 15.404766, 70.401746], [24.346513, 28.569476, 30.911506, 34.646678, 130.384201], [14.344031, 15.709224, 17.027071, 18.595523, 20.333021], [18.610562, 18.734757, 19.251029, 22.141804, 24.418097], [9.134972, 9.414642, 12.328410, 12.445326, 13.180520]]
### 4
fourier: [[11.633435, 12.280530, 12.917802, 13.299076, 22.387471], [9.870317, 9.952272, 10.039262, 13.281535, 36.368272], [40.115283, 42.578247, 44.746305, 52.169895, 199.851783], [30.696102, 32.970243, 33.047935, 41.008266, 173.966456], [25.022530, 25.150258, 26.500512, 30.067388, 127.494621], [23.995768, 27.069328, 27.840492, 32.522146, 157.563593], [23.866705, 24.422445, 24.497249, 28.227687, 125.619303], [5.410027, 5.675558, 6.333152, 7.526755, 8.110356], [18.768983, 22.088748, 22.498455, 26.622509, 134.955998], [12.759745, 14.787286, 15.307730, 15.319897, 101.120883]]
### 6
fourier: [[74.040028, 76.100503, 79.557615, 95.074803, 457.427247], [11.702939, 13.202140, 13.233751, 16.210951, 115.928530], [59.024606, 60.624785, 62.406951, 76.364497, 350.887889], [6.201632, 6.615866, 7.094613, 8.128435, 46.121193], [75.573647, 76.833224, 80.617835, 96.984813, 457.876440], [66.792841, 68.648655, 73.042948, 87.071146, 499.374652], [65.266237, 68.420861, 71.572059, 86.161814, 411.495473], [24.228202, 24.824588, 25.160308, 30.757344, 59.037287], [82.034244, 85.246007, 89.068034, 106.828591, 526.190529], [17.225618, 17.577175, 19.208813, 22.314136, 150.650841]]
### 8
fourier: [[179.136068, 183.395443, 193.427470, 232.829493, 1145.838431], [97.539560, 99.904823, 105.647911, 126.612932, 710.838654], [127.925437, 129.833213, 137.001419, 165.263857, 810.177412], [214.725186, 218.940166, 231.207539, 278.057829, 1371.098842], [14.768839, 19.146798, 19.549070, 19.993481, 24.717210], [60.738582, 61.862682, 65.289290, 78.146328, 410.168984], [163.345253, 167.424390, 176.256830, 212.334893, 1049.851352], [53.959913, 55.542361, 58.594865, 70.641995, 355.954930], [117.392402, 120.077793, 126.917763, 152.400215, 763.588875], [17.111461, 18.187402, 18.970299, 22.989161, 142.159324]]
### 10
fourier: [[95.489788, 97.465800, 102.930244, 123.358592, 690.355704], [191.527340, 195.748928, 206.430861, 248.713882, 1177.734289], [115.334302, 118.369865, 124.814955, 150.187174, 773.877769], [10.374324, 13.011467, 13.468019, 14.276225, 17.401865], [143.268355, 146.876596, 154.939604, 187.191296, 773.009866], [128.757392, 131.268776, 138.600397, 166.573453, 909.872878], [13.182174, 13.758281, 14.571943, 16.214560, 182.088840], [476.011076, 486.556739, 513.433013, 618.239897, 3028.685546], [257.060817, 263.327898, 277.752941, 334.301520, 1665.416616], [246.159074, 251.937079, 265.844440, 320.448518, 1532.646270]]
### 12
fourier: [[446.147291, 461.643786, 484.920490, 583.385998, 2713.562075]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6828879714012146, "train_acc": 0.57, "val_loss": 0.687060534954071, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6650296449661255, "train_acc": 0.57, "val_loss": 0.6289801597595215, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5965317487716675, "train_acc": 0.495, "val_loss": 0.43446844816207886, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4016559273004532, "train_acc": 0.93, "val_loss": 0.3306155502796173, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.29469555616378784, "train_acc": 0.92, "val_loss": 0.2273234724998474, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.23615673184394836, "train_acc": 0.935, "val_loss": 0.18358579277992249, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2097827047109604, "train_acc": 0.945, "val_loss": 0.18162202835083008, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2682832032442093, "train_acc": 0.935, "val_loss": 0.19614177942276, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.19171124696731567, "train_acc": 0.945, "val_loss": 0.15189990401268005, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.22912928462028503, "train_acc": 0.935, "val_loss": 0.18402016162872314, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.17599734663963318, "train_acc": 0.945, "val_loss": 0.1870225965976715, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.1836724355816841, "train_acc": 0.945, "val_loss": 0.18871115148067474, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.687060534954071, "final_val_loss": 0.6289801597595215, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.43446844816207886, "final_val_loss": 0.18871115148067474, "initial_val_acc": 0.9, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 8}, "improvement": 0.43999999999999995, "first_improvement_epoch": 1}}
|
49
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.38, "improved_accuracy": 0.82, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6659, "learning_rate": 0.06192162573867004, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[33.560419, 34.669035, 39.815593, 49.906079, 81.738594], [36.991025, 38.335844, 40.703751, 49.159734, 249.416951], [30.181836, 30.624125, 32.016066, 32.240857, 47.204553], [29.722381, 34.218122, 35.316103, 36.210782, 280.779282], [24.335620, 25.259253, 25.555947, 28.975850, 123.820534], [24.287626, 24.937783, 29.669988, 34.827139, 68.941360], [35.234221, 36.986628, 43.861241, 52.774428, 296.492682], [29.886876, 30.501318, 31.896343, 44.711461, 114.420971], [17.605073, 19.121390, 21.825724, 22.417070, 70.065608], [34.959997, 36.865914, 40.535912, 50.971519, 83.683881], [27.805296, 27.917506, 32.371010, 33.568457, 63.415382]]
### 2
fourier: [[15.763336, 15.934042, 17.668234, 17.932304, 165.762866], [23.233289, 24.837566, 25.158676, 26.477303, 142.888137], [29.938975, 31.587869, 33.569294, 37.308566, 154.940938], [23.329021, 23.983385, 25.624786, 28.812379, 86.018261], [33.663454, 34.707139, 37.662127, 41.047847, 366.188045], [48.210008, 50.644261, 51.054808, 52.385123, 56.813078], [39.901577, 40.241772, 44.193119, 49.307340, 214.215211], [15.055005, 15.173059, 16.263877, 17.801792, 37.790483], [50.967472, 53.224421, 54.843198, 56.217394, 102.616185], [15.146430, 18.919477, 19.106864, 19.460985, 85.525847], [52.927887, 53.232921, 60.004263, 73.363324, 186.931561]]
### 4
fourier: [[41.583910, 41.684918, 43.192298, 45.436371, 141.218114], [27.015070, 27.688386, 30.733313, 31.781911, 32.110116], [22.538265, 22.855142, 25.340823, 25.754071, 73.367901], [45.035443, 48.003766, 48.043718, 48.950712, 52.033046], [33.780203, 35.972730, 36.541768, 40.338100, 152.327396], [48.247880, 49.926767, 50.321118, 56.776831, 183.477326], [56.826577, 57.051192, 60.150642, 69.024875, 526.221338], [12.912480, 12.969784, 14.208754, 16.492912, 37.276986], [36.247335, 37.510147, 45.955589, 47.850106, 204.608909], [52.853806, 53.372959, 58.078305, 66.690768, 505.537991], [32.138261, 32.758341, 35.514847, 40.333387, 130.406969]]
### 6
fourier: [[15.991768, 16.306982, 19.561922, 21.673706, 25.001844], [9.764245, 11.654786, 11.997226, 14.743385, 15.062212], [17.787920, 22.497438, 22.812356, 24.361214, 29.478050], [10.491195, 11.302177, 11.312918, 11.690544, 87.203792], [19.447014, 19.805737, 22.070264, 28.254664, 71.328551], [14.488242, 16.646257, 17.000855, 17.701807, 57.287331], [12.978027, 13.338474, 14.802479, 16.518221, 22.411812], [11.408562, 13.112648, 13.670669, 15.464569, 56.867602], [17.279767, 20.253122, 22.474334, 23.474945, 26.172495], [15.749533, 16.126884, 17.477191, 19.553474, 54.246067], [12.541399, 14.945988, 15.175246, 15.308237, 17.760555]]
### 8
fourier: [[23.102755, 23.541180, 29.090459, 29.140805, 75.320242], [17.143763, 17.754208, 18.433861, 21.842608, 153.235024], [18.902650, 19.268956, 23.095791, 24.423001, 142.132168], [39.959972, 42.003340, 45.365935, 51.955578, 73.063656], [14.821892, 15.166880, 15.860152, 19.464816, 19.966045], [12.443460, 13.193583, 14.613454, 15.099866, 21.428993], [24.528904, 25.387186, 30.556718, 31.732216, 63.543242], [15.239570, 16.469428, 16.807353, 23.640826, 78.218028], [20.395427, 20.562188, 25.180028, 25.862559, 154.541165], [27.423318, 27.479886, 32.259441, 34.112223, 84.456914], [29.735824, 30.178172, 35.272525, 37.106177, 88.539034]]
### 10
fourier: [[10.028753, 11.191608, 12.241407, 13.764643, 14.746091], [16.418763, 16.748678, 18.874570, 22.454954, 28.033009], [49.806952, 53.691947, 59.876015, 59.957681, 64.753059], [25.061689, 26.034790, 30.600394, 31.724595, 61.145907], [15.112993, 15.662217, 16.882800, 20.686250, 74.275289], [47.650735, 47.837420, 58.120702, 58.767394, 130.246546], [44.006220, 45.729141, 49.134842, 58.597924, 114.407747], [15.507704, 16.795883, 19.096716, 19.641251, 20.850354], [11.384417, 13.700958, 14.509624, 14.718681, 24.115652], [46.144827, 49.851141, 56.882992, 60.368975, 186.439130], [42.990505, 47.212559, 49.790689, 57.787066, 94.899781]]
### 12
fourier: [[46.615697, 46.880048, 57.327999, 57.414079, 116.586439], [53.125601, 55.003935, 65.324496, 65.797485, 144.125543], [5.348202, 5.820476, 6.351210, 6.492628, 12.268017], [25.133691, 26.179834, 30.011998, 31.350227, 36.286462], [28.589945, 29.778414, 31.966905, 33.987540, 39.809775], [25.078766, 26.877219, 27.497636, 30.882730, 31.861040], [44.978006, 46.187211, 54.633326, 56.114159, 123.278184], [19.736591, 23.636629, 23.807600, 26.701976, 28.346879], [27.030345, 29.278832, 35.177025, 36.375816, 111.036147], [32.326785, 34.664544, 40.023744, 43.435152, 45.761954], [24.580392, 24.975730, 29.340749, 29.634896, 34.016095]]
### 14
fourier: [[39.042071, 40.983471, 48.625684, 49.965977, 54.144377]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[33.560419, 34.669035, 39.815593, 49.906079, 81.738594], [36.991025, 38.335844, 40.703751, 49.159734, 249.416951], [30.181836, 30.624125, 32.016066, 32.240857, 47.204553], [29.722381, 34.218122, 35.316103, 36.210782, 280.779282], [24.335620, 25.259253, 25.555947, 28.975850, 123.820534], [24.287626, 24.937783, 29.669988, 34.827139, 68.941360], [35.234221, 36.986628, 43.861241, 52.774428, 296.492682], [29.886876, 30.501318, 31.896343, 44.711461, 114.420971], [17.605073, 19.121390, 21.825724, 22.417070, 70.065608], [34.959997, 36.865914, 40.535912, 50.971519, 83.683881], [27.805296, 27.917506, 32.371010, 33.568457, 63.415382]]
### 2
fourier: [[15.763336, 15.934042, 17.668234, 17.932304, 165.762866], [23.233289, 24.837566, 25.158676, 26.477303, 142.888137], [29.938975, 31.587869, 33.569294, 37.308566, 154.940938], [23.329021, 23.983385, 25.624786, 28.812379, 86.018261], [33.663454, 34.707139, 37.662127, 41.047847, 366.188045], [48.210008, 50.644261, 51.054808, 52.385123, 56.813078], [39.901577, 40.241772, 44.193119, 49.307340, 214.215211], [15.055005, 15.173059, 16.263877, 17.801792, 37.790483], [50.967472, 53.224421, 54.843198, 56.217394, 102.616185], [15.146430, 18.919477, 19.106864, 19.460985, 85.525847], [52.927887, 53.232921, 60.004263, 73.363324, 186.931561]]
### 4
fourier: [[41.583910, 41.684918, 43.192298, 45.436371, 141.218114], [27.015070, 27.688386, 30.733313, 31.781911, 32.110116], [22.538265, 22.855142, 25.340823, 25.754071, 73.367901], [45.035443, 48.003766, 48.043718, 48.950712, 52.033046], [33.780203, 35.972730, 36.541768, 40.338100, 152.327396], [48.247880, 49.926767, 50.321118, 56.776831, 183.477326], [56.826577, 57.051192, 60.150642, 69.024875, 526.221338], [12.912480, 12.969784, 14.208754, 16.492912, 37.276986], [36.247335, 37.510147, 45.955589, 47.850106, 204.608909], [52.853806, 53.372959, 58.078305, 66.690768, 505.537991], [32.138261, 32.758341, 35.514847, 40.333387, 130.406969]]
### 6
fourier: [[15.991768, 16.306982, 19.561922, 21.673706, 25.001844], [9.764245, 11.654786, 11.997226, 14.743385, 15.062212], [17.787920, 22.497438, 22.812356, 24.361214, 29.478050], [10.491195, 11.302177, 11.312918, 11.690544, 87.203792], [19.447014, 19.805737, 22.070264, 28.254664, 71.328551], [14.488242, 16.646257, 17.000855, 17.701807, 57.287331], [12.978027, 13.338474, 14.802479, 16.518221, 22.411812], [11.408562, 13.112648, 13.670669, 15.464569, 56.867602], [17.279767, 20.253122, 22.474334, 23.474945, 26.172495], [15.749533, 16.126884, 17.477191, 19.553474, 54.246067], [12.541399, 14.945988, 15.175246, 15.308237, 17.760555]]
### 8
fourier: [[23.102755, 23.541180, 29.090459, 29.140805, 75.320242], [17.143763, 17.754208, 18.433861, 21.842608, 153.235024], [18.902650, 19.268956, 23.095791, 24.423001, 142.132168], [39.959972, 42.003340, 45.365935, 51.955578, 73.063656], [14.821892, 15.166880, 15.860152, 19.464816, 19.966045], [12.443460, 13.193583, 14.613454, 15.099866, 21.428993], [24.528904, 25.387186, 30.556718, 31.732216, 63.543242], [15.239570, 16.469428, 16.807353, 23.640826, 78.218028], [20.395427, 20.562188, 25.180028, 25.862559, 154.541165], [27.423318, 27.479886, 32.259441, 34.112223, 84.456914], [29.735824, 30.178172, 35.272525, 37.106177, 88.539034]]
### 10
fourier: [[10.028753, 11.191608, 12.241407, 13.764643, 14.746091], [16.418763, 16.748678, 18.874570, 22.454954, 28.033009], [49.806952, 53.691947, 59.876015, 59.957681, 64.753059], [25.061689, 26.034790, 30.600394, 31.724595, 61.145907], [15.112993, 15.662217, 16.882800, 20.686250, 74.275289], [47.650735, 47.837420, 58.120702, 58.767394, 130.246546], [44.006220, 45.729141, 49.134842, 58.597924, 114.407747], [15.507704, 16.795883, 19.096716, 19.641251, 20.850354], [11.384417, 13.700958, 14.509624, 14.718681, 24.115652], [46.144827, 49.851141, 56.882992, 60.368975, 186.439130], [42.990505, 47.212559, 49.790689, 57.787066, 94.899781]]
### 12
fourier: [[46.615697, 46.880048, 57.327999, 57.414079, 116.586439], [53.125601, 55.003935, 65.324496, 65.797485, 144.125543], [5.348202, 5.820476, 6.351210, 6.492628, 12.268017], [25.133691, 26.179834, 30.011998, 31.350227, 36.286462], [28.589945, 29.778414, 31.966905, 33.987540, 39.809775], [25.078766, 26.877219, 27.497636, 30.882730, 31.861040], [44.978006, 46.187211, 54.633326, 56.114159, 123.278184], [19.736591, 23.636629, 23.807600, 26.701976, 28.346879], [27.030345, 29.278832, 35.177025, 36.375816, 111.036147], [32.326785, 34.664544, 40.023744, 43.435152, 45.761954], [24.580392, 24.975730, 29.340749, 29.634896, 34.016095]]
### 14
fourier: [[39.042071, 40.983471, 48.625684, 49.965977, 54.144377]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7055999636650085, "train_acc": 0.435, "val_loss": 0.8685474991798401, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6824537515640259, "train_acc": 0.6, "val_loss": 0.7387501001358032, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6874646246433258, "train_acc": 0.53, "val_loss": 0.7195883393287659, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.679611474275589, "train_acc": 0.555, "val_loss": 0.6602330207824707, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6459833085536957, "train_acc": 0.645, "val_loss": 0.8883394002914429, "val_acc": 0.54}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6534232497215271, "train_acc": 0.645, "val_loss": 0.6425297260284424, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6507656872272491, "train_acc": 0.69, "val_loss": 0.6217666268348694, "val_acc": 0.72}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.6112799048423767, "train_acc": 0.69, "val_loss": 0.6496375799179077, "val_acc": 0.62}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5440195500850677, "train_acc": 0.68, "val_loss": 0.6362097263336182, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.4705999940633774, "train_acc": 0.805, "val_loss": 0.617296576499939, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.36912207305431366, "train_acc": 0.82, "val_loss": 0.6113508939743042, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3571111112833023, "train_acc": 0.85, "val_loss": 0.5416976809501648, "val_acc": 0.82}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.8685474991798401, "final_val_loss": 0.7387501001358032, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.7195883393287659, "final_val_loss": 0.5416976809501648, "initial_val_acc": 0.48, "final_val_acc": 0.82, "best_val_acc": 0.82, "best_epoch": 11}, "improvement": 0.43999999999999995, "first_improvement_epoch": 1}}
|
50
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.38, "improved_accuracy": 0.84, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9475, "learning_rate": 0.013096446286897446, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[20.271992, 21.283523, 23.942000, 24.287343, 117.345605], [16.008113, 16.548847, 16.580197, 17.740065, 19.346533], [22.271730, 24.168743, 24.870072, 25.346081, 67.913959], [15.904347, 16.579679, 17.108129, 19.693524, 46.732138], [18.106725, 18.409587, 20.183422, 21.092083, 42.385927], [16.899003, 20.687683, 21.647171, 21.908693, 108.163711], [7.095910, 7.416227, 7.585183, 7.860852, 30.021662], [12.929879, 13.688853, 16.485143, 16.660083, 16.742162], [27.743867, 27.826738, 28.154506, 28.422929, 207.916614], [19.234442, 20.066022, 20.762637, 22.365421, 26.798657], [18.365216, 19.316363, 20.511497, 23.621482, 57.982640], [21.138859, 21.631810, 22.186690, 22.980583, 84.598342]]
### 2
fourier: [[7.594881, 8.621930, 8.742445, 9.066963, 36.522520], [11.793929, 12.146414, 12.634166, 13.534417, 103.755073], [12.627547, 12.730141, 14.588274, 17.020261, 109.607818], [17.688354, 19.854492, 21.057069, 22.320468, 75.101619], [12.048809, 13.129251, 15.049058, 15.348485, 23.510947], [8.750817, 8.897855, 9.583087, 12.103657, 12.544513], [11.040543, 11.219558, 15.542682, 16.967780, 105.439275], [23.729666, 26.183732, 27.894854, 28.783185, 108.501865], [5.183763, 5.550970, 6.365184, 6.668524, 6.797777], [12.790842, 13.159905, 14.440940, 15.224951, 81.814400], [14.256665, 14.476386, 14.545858, 17.648639, 23.156724], [19.396903, 20.727505, 23.069885, 23.378193, 71.068647]]
### 4
fourier: [[9.401076, 10.543540, 11.148214, 11.267583, 23.046026], [5.019729, 5.354945, 6.295952, 6.963848, 33.439322], [4.664197, 4.945013, 5.728760, 5.886583, 70.815869], [12.987967, 14.035795, 14.998499, 15.103887, 15.478788], [9.261710, 10.386267, 10.415060, 10.948140, 55.674190], [12.597330, 12.754843, 14.913451, 17.584005, 25.647557], [16.308238, 16.711976, 17.731596, 19.229594, 59.229713], [5.114145, 5.147210, 5.346117, 5.712020, 6.615958], [10.065962, 10.702510, 11.064410, 12.134960, 89.380164], [18.236525, 18.279971, 20.052994, 21.790173, 50.711477], [19.051608, 22.511200, 23.924182, 24.917001, 64.696643], [14.116980, 15.636886, 16.611399, 16.691758, 17.550347]]
### 6
fourier: [[2.795775, 2.962361, 3.238646, 3.261584, 51.796102], [26.007330, 26.243019, 26.493694, 30.823197, 108.786913], [27.178264, 27.774210, 28.481791, 32.212500, 76.416574], [12.168813, 12.259296, 12.380698, 15.221490, 55.276919], [7.522128, 8.129381, 8.313804, 8.887939, 40.074647], [2.081147, 2.122195, 2.431770, 2.584045, 50.580590], [2.401084, 2.670970, 2.700896, 3.333483, 15.201142], [2.465673, 2.998278, 3.096228, 3.363393, 12.069333], [2.841421, 3.040413, 3.543555, 3.789532, 41.313424], [11.876757, 12.335563, 12.337131, 13.942732, 64.412542], [3.097911, 3.202577, 3.451268, 3.591348, 31.942710], [19.837028, 20.477567, 20.486230, 23.449942, 46.941822]]
### 8
fourier: [[12.812341, 13.346851, 13.953893, 14.874657, 40.623009], [8.459656, 8.526364, 8.942763, 9.444089, 41.203729], [2.355331, 2.483144, 2.617115, 2.643934, 28.347752], [24.459899, 25.103066, 27.416257, 28.872993, 85.885008], [2.753764, 3.060550, 3.217683, 3.694231, 16.073582], [4.400072, 4.434059, 4.684676, 5.237859, 35.457118], [5.694877, 5.713773, 5.766095, 6.860606, 47.725603], [4.815011, 4.839551, 5.261721, 5.557762, 52.847465], [13.556729, 13.649734, 15.650762, 16.055061, 54.446340], [1.835399, 1.871820, 1.952511, 2.080492, 13.829465], [1.416021, 1.457070, 1.493065, 1.964694, 13.004396], [7.505634, 7.840633, 8.307050, 8.941831, 41.367690]]
### 10
fourier: [[1.401781, 1.423687, 1.456233, 1.768997, 31.980085], [0.806360, 0.834379, 0.911415, 0.950582, 8.586474], [3.971242, 3.996610, 4.592624, 4.671648, 35.923360], [2.782762, 2.799594, 3.067078, 3.354133, 23.040453], [2.097060, 2.107559, 2.188227, 2.502805, 29.406836], [4.862529, 4.913212, 4.916981, 6.049252, 43.146322], [13.153007, 13.202984, 14.915879, 15.703221, 76.854982], [8.729506, 8.777100, 10.045015, 10.676447, 16.559231], [5.337163, 5.349177, 6.255450, 6.346413, 31.125421], [16.682332, 16.809742, 19.698814, 19.754486, 42.722801], [10.528553, 10.596175, 11.976181, 12.594670, 54.911405], [2.858634, 2.859522, 3.217755, 3.433508, 24.903459]]
### 12
fourier: [[7.190318, 7.357894, 8.277778, 8.552274, 26.259391], [2.162266, 2.162808, 2.441262, 2.563235, 12.636703], [12.957759, 13.239815, 14.773790, 15.179259, 48.126938], [0.435788, 0.450296, 0.467252, 0.631983, 26.237859], [0.437941, 0.444680, 0.470612, 0.501756, 27.071759], [2.840315, 2.957727, 3.174240, 3.194092, 4.621300], [1.912283, 1.970094, 2.128943, 2.172775, 30.832292], [9.425156, 9.564299, 10.826659, 10.841934, 66.406497], [1.190399, 1.198182, 1.318410, 1.496798, 43.557331], [1.053988, 1.101499, 1.139153, 1.269923, 31.090853], [1.982880, 1.986146, 2.147616, 2.328604, 18.042854], [0.452093, 0.469692, 0.490309, 0.549235, 43.768177]]
### 14
fourier: [[0.396413, 0.397929, 0.443383, 0.531845, 10.245126], [1.900624, 1.967712, 2.124072, 2.206054, 18.333004], [5.137461, 5.317334, 5.706295, 6.068933, 6.199017], [1.187786, 1.252796, 1.333201, 1.351405, 11.238544], [3.383752, 3.513017, 3.823484, 4.041563, 19.402061], [1.493455, 1.522210, 1.611693, 1.937631, 85.164098], [3.844789, 3.862159, 4.403523, 4.470966, 47.522507], [5.249881, 5.449037, 5.843049, 6.048047, 18.955480], [2.219230, 2.319337, 2.558811, 2.660872, 11.753198], [0.107413, 0.109396, 0.110829, 0.148114, 6.723004], [6.141932, 6.381324, 6.579798, 7.020323, 7.308160], [4.315826, 4.467022, 4.562404, 5.016421, 5.138020]]
### 16
fourier: [[4.039233, 4.098001, 4.609310, 4.619381, 60.334267]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[20.271992, 21.283523, 23.942000, 24.287343, 117.345605], [16.008113, 16.548847, 16.580197, 17.740065, 19.346533], [22.271730, 24.168743, 24.870072, 25.346081, 67.913959], [15.904347, 16.579679, 17.108129, 19.693524, 46.732138], [18.106725, 18.409587, 20.183422, 21.092083, 42.385927], [16.899003, 20.687683, 21.647171, 21.908693, 108.163711], [7.095910, 7.416227, 7.585183, 7.860852, 30.021662], [12.929879, 13.688853, 16.485143, 16.660083, 16.742162], [27.743867, 27.826738, 28.154506, 28.422929, 207.916614], [19.234442, 20.066022, 20.762637, 22.365421, 26.798657], [18.365216, 19.316363, 20.511497, 23.621482, 57.982640], [21.138859, 21.631810, 22.186690, 22.980583, 84.598342]]
### 2
fourier: [[7.594881, 8.621930, 8.742445, 9.066963, 36.522520], [11.793929, 12.146414, 12.634166, 13.534417, 103.755073], [12.627547, 12.730141, 14.588274, 17.020261, 109.607818], [17.688354, 19.854492, 21.057069, 22.320468, 75.101619], [12.048809, 13.129251, 15.049058, 15.348485, 23.510947], [8.750817, 8.897855, 9.583087, 12.103657, 12.544513], [11.040543, 11.219558, 15.542682, 16.967780, 105.439275], [23.729666, 26.183732, 27.894854, 28.783185, 108.501865], [5.183763, 5.550970, 6.365184, 6.668524, 6.797777], [12.790842, 13.159905, 14.440940, 15.224951, 81.814400], [14.256665, 14.476386, 14.545858, 17.648639, 23.156724], [19.396903, 20.727505, 23.069885, 23.378193, 71.068647]]
### 4
fourier: [[9.401076, 10.543540, 11.148214, 11.267583, 23.046026], [5.019729, 5.354945, 6.295952, 6.963848, 33.439322], [4.664197, 4.945013, 5.728760, 5.886583, 70.815869], [12.987967, 14.035795, 14.998499, 15.103887, 15.478788], [9.261710, 10.386267, 10.415060, 10.948140, 55.674190], [12.597330, 12.754843, 14.913451, 17.584005, 25.647557], [16.308238, 16.711976, 17.731596, 19.229594, 59.229713], [5.114145, 5.147210, 5.346117, 5.712020, 6.615958], [10.065962, 10.702510, 11.064410, 12.134960, 89.380164], [18.236525, 18.279971, 20.052994, 21.790173, 50.711477], [19.051608, 22.511200, 23.924182, 24.917001, 64.696643], [14.116980, 15.636886, 16.611399, 16.691758, 17.550347]]
### 6
fourier: [[2.795775, 2.962361, 3.238646, 3.261584, 51.796102], [26.007330, 26.243019, 26.493694, 30.823197, 108.786913], [27.178264, 27.774210, 28.481791, 32.212500, 76.416574], [12.168813, 12.259296, 12.380698, 15.221490, 55.276919], [7.522128, 8.129381, 8.313804, 8.887939, 40.074647], [2.081147, 2.122195, 2.431770, 2.584045, 50.580590], [2.401084, 2.670970, 2.700896, 3.333483, 15.201142], [2.465673, 2.998278, 3.096228, 3.363393, 12.069333], [2.841421, 3.040413, 3.543555, 3.789532, 41.313424], [11.876757, 12.335563, 12.337131, 13.942732, 64.412542], [3.097911, 3.202577, 3.451268, 3.591348, 31.942710], [19.837028, 20.477567, 20.486230, 23.449942, 46.941822]]
### 8
fourier: [[12.812341, 13.346851, 13.953893, 14.874657, 40.623009], [8.459656, 8.526364, 8.942763, 9.444089, 41.203729], [2.355331, 2.483144, 2.617115, 2.643934, 28.347752], [24.459899, 25.103066, 27.416257, 28.872993, 85.885008], [2.753764, 3.060550, 3.217683, 3.694231, 16.073582], [4.400072, 4.434059, 4.684676, 5.237859, 35.457118], [5.694877, 5.713773, 5.766095, 6.860606, 47.725603], [4.815011, 4.839551, 5.261721, 5.557762, 52.847465], [13.556729, 13.649734, 15.650762, 16.055061, 54.446340], [1.835399, 1.871820, 1.952511, 2.080492, 13.829465], [1.416021, 1.457070, 1.493065, 1.964694, 13.004396], [7.505634, 7.840633, 8.307050, 8.941831, 41.367690]]
### 10
fourier: [[1.401781, 1.423687, 1.456233, 1.768997, 31.980085], [0.806360, 0.834379, 0.911415, 0.950582, 8.586474], [3.971242, 3.996610, 4.592624, 4.671648, 35.923360], [2.782762, 2.799594, 3.067078, 3.354133, 23.040453], [2.097060, 2.107559, 2.188227, 2.502805, 29.406836], [4.862529, 4.913212, 4.916981, 6.049252, 43.146322], [13.153007, 13.202984, 14.915879, 15.703221, 76.854982], [8.729506, 8.777100, 10.045015, 10.676447, 16.559231], [5.337163, 5.349177, 6.255450, 6.346413, 31.125421], [16.682332, 16.809742, 19.698814, 19.754486, 42.722801], [10.528553, 10.596175, 11.976181, 12.594670, 54.911405], [2.858634, 2.859522, 3.217755, 3.433508, 24.903459]]
### 12
fourier: [[7.190318, 7.357894, 8.277778, 8.552274, 26.259391], [2.162266, 2.162808, 2.441262, 2.563235, 12.636703], [12.957759, 13.239815, 14.773790, 15.179259, 48.126938], [0.435788, 0.450296, 0.467252, 0.631983, 26.237859], [0.437941, 0.444680, 0.470612, 0.501756, 27.071759], [2.840315, 2.957727, 3.174240, 3.194092, 4.621300], [1.912283, 1.970094, 2.128943, 2.172775, 30.832292], [9.425156, 9.564299, 10.826659, 10.841934, 66.406497], [1.190399, 1.198182, 1.318410, 1.496798, 43.557331], [1.053988, 1.101499, 1.139153, 1.269923, 31.090853], [1.982880, 1.986146, 2.147616, 2.328604, 18.042854], [0.452093, 0.469692, 0.490309, 0.549235, 43.768177]]
### 14
fourier: [[0.396413, 0.397929, 0.443383, 0.531845, 10.245126], [1.900624, 1.967712, 2.124072, 2.206054, 18.333004], [5.137461, 5.317334, 5.706295, 6.068933, 6.199017], [1.187786, 1.252796, 1.333201, 1.351405, 11.238544], [3.383752, 3.513017, 3.823484, 4.041563, 19.402061], [1.493455, 1.522210, 1.611693, 1.937631, 85.164098], [3.844789, 3.862159, 4.403523, 4.470966, 47.522507], [5.249881, 5.449037, 5.843049, 6.048047, 18.955480], [2.219230, 2.319337, 2.558811, 2.660872, 11.753198], [0.107413, 0.109396, 0.110829, 0.148114, 6.723004], [6.141932, 6.381324, 6.579798, 7.020323, 7.308160], [4.315826, 4.467022, 4.562404, 5.016421, 5.138020]]
### 16
fourier: [[4.039233, 4.098001, 4.609310, 4.619381, 60.334267]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6765503585338593, "train_acc": 0.59, "val_loss": 0.7422646284103394, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6720196604728699, "train_acc": 0.59, "val_loss": 0.744962215423584, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6771881282329559, "train_acc": 0.59, "val_loss": 0.7379235029220581, "val_acc": 0.38}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6634153425693512, "train_acc": 0.59, "val_loss": 0.7042667865753174, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.664989709854126, "train_acc": 0.595, "val_loss": 0.638471782207489, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.633351057767868, "train_acc": 0.705, "val_loss": 0.574587881565094, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6151001751422882, "train_acc": 0.705, "val_loss": 0.5788654088973999, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5994093716144562, "train_acc": 0.735, "val_loss": 0.5510495901107788, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5637938380241394, "train_acc": 0.74, "val_loss": 0.5305895209312439, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5665295720100403, "train_acc": 0.76, "val_loss": 0.5171567797660828, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.5458293259143829, "train_acc": 0.74, "val_loss": 0.4945085048675537, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.5263034105300903, "train_acc": 0.785, "val_loss": 0.47356903553009033, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.516214519739151, "train_acc": 0.81, "val_loss": 0.4736183285713196, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.5102924406528473, "train_acc": 0.765, "val_loss": 0.4258609712123871, "val_acc": 0.84}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7422646284103394, "final_val_loss": 0.7042667865753174, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.638471782207489, "final_val_loss": 0.4258609712123871, "initial_val_acc": 0.8, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 9}, "improvement": 0.45999999999999996, "first_improvement_epoch": 3}}
|
51
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.54, "improved_accuracy": 0.8, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1410, "learning_rate": 0.019232916103823, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[17.833125, 18.065125, 18.606844, 27.800825, 72.215364], [17.879622, 18.336632, 18.471827, 19.552682, 74.027866], [23.583617, 23.804325, 29.646658, 30.877073, 131.478770], [15.926482, 17.249070, 17.429698, 18.977185, 66.777612], [14.558334, 15.620762, 17.213058, 18.488594, 90.042618], [19.875446, 20.032273, 20.502695, 21.819249, 25.346980], [31.206322, 31.353615, 32.399044, 38.555406, 102.968677], [24.432508, 26.236017, 28.064962, 28.736417, 240.492152]]
### 2
fourier: [[11.369851, 11.624887, 12.492484, 14.752768, 42.458473], [22.460293, 26.002638, 29.422648, 31.128600, 172.691978], [5.632987, 6.382045, 6.783204, 8.922245, 10.833884], [17.107252, 17.433297, 19.164499, 22.462285, 41.946127], [4.734983, 5.632422, 6.188689, 6.428094, 67.259924], [14.127922, 14.633359, 17.904807, 19.379193, 67.072509], [14.890001, 16.071664, 18.429448, 19.276306, 31.408692], [21.677255, 21.865183, 28.524650, 31.057681, 93.252709]]
### 4
fourier: [[9.747809, 10.753939, 12.556760, 12.630745, 59.360572], [31.559041, 34.370777, 42.417637, 45.559193, 145.966235], [11.223241, 11.859467, 13.577250, 15.388766, 30.298104], [19.312484, 20.538748, 25.172705, 25.832193, 87.609024], [12.730386, 13.893144, 17.774083, 18.508753, 54.443857], [11.882080, 12.033044, 15.083832, 17.051552, 87.547929], [13.617643, 15.452175, 17.000419, 18.927993, 93.172238], [6.177619, 6.376375, 6.540818, 7.580859, 8.307895]]
### 6
fourier: [[6.910275, 7.107090, 8.427063, 8.980824, 42.075174], [4.442371, 5.244282, 5.560001, 6.004482, 14.549748], [34.857841, 35.061471, 42.601194, 44.748777, 153.550243], [33.299396, 35.571056, 43.360795, 46.368292, 141.901830], [17.388962, 18.308502, 21.178513, 22.026225, 57.298274], [13.221346, 13.625075, 16.185698, 16.609536, 74.412444], [6.969091, 8.569025, 9.576996, 9.878291, 49.847919], [7.635877, 9.189300, 9.509101, 10.773458, 27.881865]]
### 8
fourier: [[20.287374, 21.340155, 26.376011, 28.660251, 83.726633], [28.081022, 28.684394, 35.463020, 38.573199, 119.262450], [12.585278, 12.981962, 15.197558, 16.716435, 62.504569], [34.124145, 35.281773, 43.655044, 47.491929, 162.434572], [36.736816, 36.898529, 45.302196, 50.272594, 188.303154], [28.949332, 29.686172, 36.733601, 40.694531, 164.532948], [7.770148, 7.803674, 9.499652, 10.103062, 27.905399], [3.671296, 4.261178, 4.464331, 4.891418, 25.978159]]
### 10
fourier: [[33.464110, 33.927602, 41.763003, 46.157063, 150.731837], [27.152689, 27.474427, 33.865484, 37.454575, 145.556179], [6.651867, 6.855521, 8.500278, 9.453770, 14.524109], [23.484398, 24.136831, 29.909146, 32.895914, 116.187573], [15.451821, 15.954514, 19.872720, 22.053249, 56.923208], [59.460866, 61.217111, 75.813281, 83.805256, 308.698847], [7.147186, 7.279091, 8.761158, 9.748160, 55.863919], [14.815194, 14.887458, 18.271566, 20.420879, 103.973412]]
### 12
fourier: [[51.346521, 52.507674, 64.934147, 72.390750, 264.680098], [15.960841, 16.463077, 20.438655, 22.560908, 62.666700], [24.799401, 25.462547, 31.557720, 35.359612, 117.679430], [3.603661, 3.814439, 3.850703, 4.705767, 5.333759], [32.509515, 33.500468, 41.544245, 45.946484, 192.555496], [21.121012, 21.677797, 26.807877, 29.935506, 119.854123], [9.017519, 9.363158, 11.598156, 12.443711, 80.509052], [6.581694, 6.790942, 8.468325, 9.342747, 49.905857]]
### 14
fourier: [[29.325614, 30.060159, 37.207775, 41.369348, 129.290821]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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## Activation Signature
### 0
fourier: [[17.833125, 18.065125, 18.606844, 27.800825, 72.215364], [17.879622, 18.336632, 18.471827, 19.552682, 74.027866], [23.583617, 23.804325, 29.646658, 30.877073, 131.478770], [15.926482, 17.249070, 17.429698, 18.977185, 66.777612], [14.558334, 15.620762, 17.213058, 18.488594, 90.042618], [19.875446, 20.032273, 20.502695, 21.819249, 25.346980], [31.206322, 31.353615, 32.399044, 38.555406, 102.968677], [24.432508, 26.236017, 28.064962, 28.736417, 240.492152]]
### 2
fourier: [[11.369851, 11.624887, 12.492484, 14.752768, 42.458473], [22.460293, 26.002638, 29.422648, 31.128600, 172.691978], [5.632987, 6.382045, 6.783204, 8.922245, 10.833884], [17.107252, 17.433297, 19.164499, 22.462285, 41.946127], [4.734983, 5.632422, 6.188689, 6.428094, 67.259924], [14.127922, 14.633359, 17.904807, 19.379193, 67.072509], [14.890001, 16.071664, 18.429448, 19.276306, 31.408692], [21.677255, 21.865183, 28.524650, 31.057681, 93.252709]]
### 4
fourier: [[9.747809, 10.753939, 12.556760, 12.630745, 59.360572], [31.559041, 34.370777, 42.417637, 45.559193, 145.966235], [11.223241, 11.859467, 13.577250, 15.388766, 30.298104], [19.312484, 20.538748, 25.172705, 25.832193, 87.609024], [12.730386, 13.893144, 17.774083, 18.508753, 54.443857], [11.882080, 12.033044, 15.083832, 17.051552, 87.547929], [13.617643, 15.452175, 17.000419, 18.927993, 93.172238], [6.177619, 6.376375, 6.540818, 7.580859, 8.307895]]
### 6
fourier: [[6.910275, 7.107090, 8.427063, 8.980824, 42.075174], [4.442371, 5.244282, 5.560001, 6.004482, 14.549748], [34.857841, 35.061471, 42.601194, 44.748777, 153.550243], [33.299396, 35.571056, 43.360795, 46.368292, 141.901830], [17.388962, 18.308502, 21.178513, 22.026225, 57.298274], [13.221346, 13.625075, 16.185698, 16.609536, 74.412444], [6.969091, 8.569025, 9.576996, 9.878291, 49.847919], [7.635877, 9.189300, 9.509101, 10.773458, 27.881865]]
### 8
fourier: [[20.287374, 21.340155, 26.376011, 28.660251, 83.726633], [28.081022, 28.684394, 35.463020, 38.573199, 119.262450], [12.585278, 12.981962, 15.197558, 16.716435, 62.504569], [34.124145, 35.281773, 43.655044, 47.491929, 162.434572], [36.736816, 36.898529, 45.302196, 50.272594, 188.303154], [28.949332, 29.686172, 36.733601, 40.694531, 164.532948], [7.770148, 7.803674, 9.499652, 10.103062, 27.905399], [3.671296, 4.261178, 4.464331, 4.891418, 25.978159]]
### 10
fourier: [[33.464110, 33.927602, 41.763003, 46.157063, 150.731837], [27.152689, 27.474427, 33.865484, 37.454575, 145.556179], [6.651867, 6.855521, 8.500278, 9.453770, 14.524109], [23.484398, 24.136831, 29.909146, 32.895914, 116.187573], [15.451821, 15.954514, 19.872720, 22.053249, 56.923208], [59.460866, 61.217111, 75.813281, 83.805256, 308.698847], [7.147186, 7.279091, 8.761158, 9.748160, 55.863919], [14.815194, 14.887458, 18.271566, 20.420879, 103.973412]]
### 12
fourier: [[51.346521, 52.507674, 64.934147, 72.390750, 264.680098], [15.960841, 16.463077, 20.438655, 22.560908, 62.666700], [24.799401, 25.462547, 31.557720, 35.359612, 117.679430], [3.603661, 3.814439, 3.850703, 4.705767, 5.333759], [32.509515, 33.500468, 41.544245, 45.946484, 192.555496], [21.121012, 21.677797, 26.807877, 29.935506, 119.854123], [9.017519, 9.363158, 11.598156, 12.443711, 80.509052], [6.581694, 6.790942, 8.468325, 9.342747, 49.905857]]
### 14
fourier: [[29.325614, 30.060159, 37.207775, 41.369348, 129.290821]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.13271, -0.242562, -0.286167, 0.257126, -0.306498], [0.035258, 0.121822, 0.272711, -0.473323, -0.082614], [0.348504, 0.118543, -0.143105, 0.018959, 0.608093], [0.039491, 0.119237, 0.147505, 0.395175, -0.393827], [-0.201636, 0.301525, -0.28908, -0.215451, -0.057648], [-0.537423, -0.13912, 0.017575, 0.093141, 0.454032], [0.473847, -0.053524, 0.138847, -0.205015, 0.623538], [-0.089284, 0.41898, 0.15408, 0.428737, 0.296094]], "network.0.bias": [0.229153, -0.541154, 0.319463, -0.194279, -0.162016, -0.036993, 0.03253, 0.413327], "network.2.weight": [[-0.014649, 0.322855, -0.441279, 0.465536, 0.060482, -0.185326, 0.143012, 0.18015], [-0.054142, 0.12057, 0.467809, -0.088695, -0.265376, 0.353585, 0.193444, 0.359201], [-0.126399, -0.067157, 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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.718801736831665, "train_acc": 0.425, "val_loss": 0.7004556059837341, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7010632157325745, "train_acc": 0.425, "val_loss": 0.6859480142593384, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.67228764295578, "train_acc": 0.57, "val_loss": 0.6649235486984253, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6668495237827301, "train_acc": 0.49, "val_loss": 0.6223834753036499, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6059936285018921, "train_acc": 0.655, "val_loss": 0.5294250845909119, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5367487370967865, "train_acc": 0.765, "val_loss": 0.5019605159759521, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4878713935613632, "train_acc": 0.775, "val_loss": 0.4791894555091858, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4517100155353546, "train_acc": 0.82, "val_loss": 0.4502629041671753, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4395260810852051, "train_acc": 0.82, "val_loss": 0.5002767443656921, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4186289608478546, "train_acc": 0.825, "val_loss": 0.5104214549064636, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.41609029471874237, "train_acc": 0.835, "val_loss": 0.4417538046836853, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.4246557354927063, "train_acc": 0.82, "val_loss": 0.4169851541519165, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.384721040725708, "train_acc": 0.83, "val_loss": 0.44817793369293213, "val_acc": 0.78}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7004556059837341, "final_val_loss": 0.6649235486984253, "initial_val_acc": 0.46, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6223834753036499, "final_val_loss": 0.44817793369293213, "initial_val_acc": 0.5, "final_val_acc": 0.78, "best_val_acc": 0.8, "best_epoch": 5}, "improvement": 0.26, "first_improvement_epoch": 2}}
|
52
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.56, "improved_accuracy": 0.88, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 10, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2322, "learning_rate": 0.044373630676817134, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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## Activation Signature
### 0
fourier: [[19.405951, 20.453671, 21.305178, 22.849300, 127.617847], [26.847160, 28.405045, 30.028947, 34.985782, 143.309762], [15.243392, 15.813543, 16.104671, 16.215732, 111.714354], [20.116521, 20.360885, 21.719067, 27.559595, 59.700264], [15.306598, 15.950475, 16.040858, 17.289649, 120.110199], [10.767219, 12.207905, 13.200821, 16.606910, 20.605367], [18.338075, 18.839926, 23.378878, 24.136054, 209.574171], [33.997039, 34.415351, 35.072020, 38.713641, 162.495948], [15.649721, 15.790267, 15.797361, 16.427527, 18.992652], [19.163990, 20.051845, 20.183149, 21.473170, 193.236341]]
### 2
fourier: [[6.062379, 6.182607, 6.299538, 6.931648, 47.496851], [18.887776, 18.894083, 20.614615, 22.026243, 108.986658], [7.952947, 8.636300, 8.868844, 10.028370, 46.747138], [26.107448, 26.245341, 27.442553, 27.766680, 148.265954], [25.520892, 27.036213, 27.675056, 30.659528, 155.498318], [21.416426, 23.024405, 23.119292, 23.897801, 60.053152], [22.864348, 23.810776, 24.409977, 25.267875, 156.334206], [9.751677, 10.099893, 12.155257, 12.219164, 25.188221], [22.272337, 24.381732, 25.362272, 26.338205, 129.531854], [22.595078, 23.930583, 25.206301, 26.050473, 149.578191]]
### 4
fourier: [[16.255078, 16.625317, 16.974333, 17.204801, 62.068136], [50.829331, 53.181955, 53.952040, 57.025765, 319.411549], [40.246343, 42.877026, 43.903983, 46.171832, 240.011544], [12.281389, 13.204230, 13.619883, 14.121290, 66.022893], [6.734251, 6.983393, 7.267967, 8.304670, 42.955935], [37.426445, 37.599399, 37.638204, 40.707852, 193.443428], [28.739639, 28.758594, 29.230416, 30.739796, 68.265859], [18.848535, 19.042374, 19.294078, 24.236740, 88.902506], [10.894971, 11.019056, 11.211721, 11.326895, 12.002547], [15.165123, 15.458937, 15.728832, 15.771664, 73.626649]]
### 6
fourier: [[32.200116, 32.635464, 32.909294, 35.713069, 169.923037], [21.561710, 21.838079, 22.244669, 24.034468, 106.685685], [49.683368, 50.105659, 52.199765, 57.464586, 287.147858], [33.949613, 34.576142, 35.245071, 39.005872, 204.724751], [7.855507, 8.487521, 8.653601, 9.974713, 45.164139], [52.481343, 53.984382, 54.435695, 60.387436, 321.358022], [14.911705, 15.082646, 17.065598, 17.813816, 53.021020], [23.785016, 24.183180, 24.345534, 26.734334, 112.574770], [25.120408, 25.781579, 25.821295, 28.742041, 136.917653], [68.469918, 68.853318, 68.899739, 77.921175, 399.785007]]
### 8
fourier: [[79.197244, 79.449930, 80.668465, 92.303599, 497.462896], [37.769581, 37.979642, 38.415110, 43.980841, 217.959271], [49.529573, 49.556280, 50.544928, 57.806428, 267.700419], [61.388259, 61.961247, 62.406395, 71.194264, 379.297200], [39.696315, 40.201811, 40.422438, 46.479943, 240.878664], [18.876628, 18.947378, 19.445471, 21.869522, 109.947000], [85.641863, 85.954268, 86.547632, 99.645513, 526.589435], [38.247674, 38.454576, 38.692519, 44.819605, 228.313271], [92.889091, 93.024241, 94.137396, 108.283782, 559.829846], [65.226473, 65.562157, 67.966757, 76.273164, 381.090939]]
### 10
fourier: [[47.811284, 47.868835, 49.044432, 56.348202, 312.265755], [62.418121, 62.499472, 63.415738, 73.181927, 364.539223], [9.192485, 9.258412, 9.542088, 10.999627, 48.086641], [183.110656, 183.301547, 185.126584, 214.908014, 1139.814976], [102.458316, 102.757126, 104.304727, 120.435983, 627.284388], [18.859744, 18.877382, 18.932342, 21.787808, 119.186625], [44.206942, 44.499239, 45.816040, 52.343574, 305.076388], [2.273053, 2.457798, 2.480735, 2.839168, 32.930691], [152.902217, 153.193682, 154.978273, 179.588140, 937.635145], [34.110849, 34.945090, 34.960402, 40.597255, 199.641071]]
### 12
fourier: [[11.152344, 11.841335, 11.962692, 14.005139, 109.266483], [8.890421, 8.913104, 9.133783, 10.470266, 35.583490], [41.778869, 41.790516, 42.121626, 49.214840, 236.304489], [28.342412, 28.426209, 28.551736, 33.627985, 143.285199], [2.687120, 2.958454, 2.999263, 3.269084, 11.397323], [44.713806, 44.849922, 45.198101, 52.519112, 261.314590], [25.941144, 26.140163, 26.918101, 30.859254, 124.755945], [23.476713, 23.484592, 23.760758, 27.703325, 137.097404], [12.997510, 13.083188, 13.127746, 15.555871, 60.746223], [176.811136, 177.144889, 179.566492, 209.054634, 1101.751348]]
### 14
fourier: [[88.721977, 88.857145, 88.963624, 105.091400, 549.706953]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[19.405951, 20.453671, 21.305178, 22.849300, 127.617847], [26.847160, 28.405045, 30.028947, 34.985782, 143.309762], [15.243392, 15.813543, 16.104671, 16.215732, 111.714354], [20.116521, 20.360885, 21.719067, 27.559595, 59.700264], [15.306598, 15.950475, 16.040858, 17.289649, 120.110199], [10.767219, 12.207905, 13.200821, 16.606910, 20.605367], [18.338075, 18.839926, 23.378878, 24.136054, 209.574171], [33.997039, 34.415351, 35.072020, 38.713641, 162.495948], [15.649721, 15.790267, 15.797361, 16.427527, 18.992652], [19.163990, 20.051845, 20.183149, 21.473170, 193.236341]]
### 2
fourier: [[6.062379, 6.182607, 6.299538, 6.931648, 47.496851], [18.887776, 18.894083, 20.614615, 22.026243, 108.986658], [7.952947, 8.636300, 8.868844, 10.028370, 46.747138], [26.107448, 26.245341, 27.442553, 27.766680, 148.265954], [25.520892, 27.036213, 27.675056, 30.659528, 155.498318], [21.416426, 23.024405, 23.119292, 23.897801, 60.053152], [22.864348, 23.810776, 24.409977, 25.267875, 156.334206], [9.751677, 10.099893, 12.155257, 12.219164, 25.188221], [22.272337, 24.381732, 25.362272, 26.338205, 129.531854], [22.595078, 23.930583, 25.206301, 26.050473, 149.578191]]
### 4
fourier: [[16.255078, 16.625317, 16.974333, 17.204801, 62.068136], [50.829331, 53.181955, 53.952040, 57.025765, 319.411549], [40.246343, 42.877026, 43.903983, 46.171832, 240.011544], [12.281389, 13.204230, 13.619883, 14.121290, 66.022893], [6.734251, 6.983393, 7.267967, 8.304670, 42.955935], [37.426445, 37.599399, 37.638204, 40.707852, 193.443428], [28.739639, 28.758594, 29.230416, 30.739796, 68.265859], [18.848535, 19.042374, 19.294078, 24.236740, 88.902506], [10.894971, 11.019056, 11.211721, 11.326895, 12.002547], [15.165123, 15.458937, 15.728832, 15.771664, 73.626649]]
### 6
fourier: [[32.200116, 32.635464, 32.909294, 35.713069, 169.923037], [21.561710, 21.838079, 22.244669, 24.034468, 106.685685], [49.683368, 50.105659, 52.199765, 57.464586, 287.147858], [33.949613, 34.576142, 35.245071, 39.005872, 204.724751], [7.855507, 8.487521, 8.653601, 9.974713, 45.164139], [52.481343, 53.984382, 54.435695, 60.387436, 321.358022], [14.911705, 15.082646, 17.065598, 17.813816, 53.021020], [23.785016, 24.183180, 24.345534, 26.734334, 112.574770], [25.120408, 25.781579, 25.821295, 28.742041, 136.917653], [68.469918, 68.853318, 68.899739, 77.921175, 399.785007]]
### 8
fourier: [[79.197244, 79.449930, 80.668465, 92.303599, 497.462896], [37.769581, 37.979642, 38.415110, 43.980841, 217.959271], [49.529573, 49.556280, 50.544928, 57.806428, 267.700419], [61.388259, 61.961247, 62.406395, 71.194264, 379.297200], [39.696315, 40.201811, 40.422438, 46.479943, 240.878664], [18.876628, 18.947378, 19.445471, 21.869522, 109.947000], [85.641863, 85.954268, 86.547632, 99.645513, 526.589435], [38.247674, 38.454576, 38.692519, 44.819605, 228.313271], [92.889091, 93.024241, 94.137396, 108.283782, 559.829846], [65.226473, 65.562157, 67.966757, 76.273164, 381.090939]]
### 10
fourier: [[47.811284, 47.868835, 49.044432, 56.348202, 312.265755], [62.418121, 62.499472, 63.415738, 73.181927, 364.539223], [9.192485, 9.258412, 9.542088, 10.999627, 48.086641], [183.110656, 183.301547, 185.126584, 214.908014, 1139.814976], [102.458316, 102.757126, 104.304727, 120.435983, 627.284388], [18.859744, 18.877382, 18.932342, 21.787808, 119.186625], [44.206942, 44.499239, 45.816040, 52.343574, 305.076388], [2.273053, 2.457798, 2.480735, 2.839168, 32.930691], [152.902217, 153.193682, 154.978273, 179.588140, 937.635145], [34.110849, 34.945090, 34.960402, 40.597255, 199.641071]]
### 12
fourier: [[11.152344, 11.841335, 11.962692, 14.005139, 109.266483], [8.890421, 8.913104, 9.133783, 10.470266, 35.583490], [41.778869, 41.790516, 42.121626, 49.214840, 236.304489], [28.342412, 28.426209, 28.551736, 33.627985, 143.285199], [2.687120, 2.958454, 2.999263, 3.269084, 11.397323], [44.713806, 44.849922, 45.198101, 52.519112, 261.314590], [25.941144, 26.140163, 26.918101, 30.859254, 124.755945], [23.476713, 23.484592, 23.760758, 27.703325, 137.097404], [12.997510, 13.083188, 13.127746, 15.555871, 60.746223], [176.811136, 177.144889, 179.566492, 209.054634, 1101.751348]]
### 14
fourier: [[88.721977, 88.857145, 88.963624, 105.091400, 549.706953]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.69711634516716, "train_acc": 0.505, "val_loss": 0.6858664155006409, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.692022979259491, "train_acc": 0.555, "val_loss": 0.6542739868164062, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.641342967748642, "train_acc": 0.555, "val_loss": 0.48806703090667725, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5487655401229858, "train_acc": 0.485, "val_loss": 0.38526496291160583, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.42482510209083557, "train_acc": 0.83, "val_loss": 0.33454081416130066, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.47058916091918945, "train_acc": 0.805, "val_loss": 0.3044436275959015, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3793453872203827, "train_acc": 0.84, "val_loss": 0.32284194231033325, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.42553022503852844, "train_acc": 0.805, "val_loss": 0.36778050661087036, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.45565706491470337, "train_acc": 0.77, "val_loss": 0.388948529958725, "val_acc": 0.8}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6858664155006409, "final_val_loss": 0.48806703090667725, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.38526496291160583, "final_val_loss": 0.388948529958725, "initial_val_acc": 0.88, "final_val_acc": 0.8, "best_val_acc": 0.88, "best_epoch": 3}, "improvement": 0.31999999999999995, "first_improvement_epoch": 2}}
|
53
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.96, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3433, "learning_rate": 0.016118345119958435, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[23.931393, 24.029088, 26.061661, 28.979929, 78.281793], [20.597427, 22.296105, 24.370569, 28.436384, 94.285795], [20.523823, 20.675963, 24.220871, 24.627585, 29.812790], [35.566181, 35.684903, 37.513681, 43.644906, 268.241388], [24.069352, 24.290495, 24.872140, 24.951933, 93.327111], [18.583140, 18.863250, 22.263383, 23.160400, 134.237737], [18.595682, 18.831698, 20.524079, 23.104506, 24.937621], [28.991002, 30.133232, 35.623202, 37.449650, 231.443543], [21.111123, 22.537590, 22.575717, 25.299425, 188.793705], [36.703743, 37.752838, 38.783329, 44.224604, 182.461555]]
### 2
fourier: [[12.047851, 12.100826, 12.892384, 12.905626, 123.175098], [11.638890, 11.707280, 12.175589, 13.332637, 70.064675], [11.947527, 12.751244, 13.272208, 13.921319, 45.509607], [19.747444, 20.402885, 21.567452, 26.088641, 147.357288], [18.210023, 18.975799, 24.624469, 26.399243, 167.845595], [32.237962, 37.866247, 40.958581, 44.534215, 260.398549], [24.729999, 25.279940, 25.944320, 26.937125, 162.157568], [34.822388, 38.212987, 41.694771, 42.391032, 266.419629], [17.234302, 18.357879, 18.751663, 20.807954, 144.781210], [9.985476, 10.274216, 10.739221, 13.424057, 26.492275]]
### 4
fourier: [[7.690387, 8.221219, 9.165528, 9.261745, 59.179696], [3.196079, 3.309071, 4.012844, 4.159652, 23.822116], [2.623723, 2.701220, 3.263591, 3.618017, 31.204987], [26.184792, 31.212954, 32.092575, 34.533237, 200.832932], [17.292122, 19.071761, 20.276814, 20.829740, 116.494774], [21.467046, 25.433221, 26.096827, 27.670434, 131.099152], [3.608817, 3.759033, 4.537147, 5.471315, 44.007279], [24.464500, 29.503251, 30.141711, 32.609893, 189.004357], [10.367939, 10.596276, 12.155370, 13.561477, 127.418921], [18.984048, 22.000781, 22.511000, 22.539382, 102.615765]]
### 6
fourier: [[5.911404, 6.491577, 7.542436, 7.718071, 61.808162], [10.979021, 11.051805, 11.295490, 11.298394, 55.190914], [46.770079, 55.665353, 56.012648, 60.891470, 305.250184], [15.837661, 17.050653, 18.096071, 18.803594, 109.129138], [3.788269, 3.932168, 3.999328, 4.171161, 19.613016], [8.475300, 8.591397, 9.024250, 9.207286, 30.755339], [7.230430, 7.589429, 7.836896, 7.913552, 58.856962], [31.089255, 35.931496, 36.435529, 38.818516, 182.750660], [4.512662, 4.756603, 4.817673, 5.644338, 39.174278], [14.608947, 17.164665, 17.881960, 19.673000, 109.366649]]
### 8
fourier: [[27.818090, 31.112048, 31.772653, 34.421993, 117.285514], [8.857790, 10.057718, 11.094926, 11.676832, 103.126125], [37.596696, 42.473285, 44.164631, 47.184262, 175.587923], [13.180006, 13.356194, 14.504170, 15.018956, 51.890348], [38.465187, 43.822680, 44.344419, 48.397368, 189.382465], [31.402739, 34.370360, 35.752952, 37.721345, 148.036321], [30.777437, 34.656089, 35.038706, 37.782187, 161.452701], [3.536979, 3.689423, 4.083383, 4.283601, 47.751462], [23.660145, 26.495999, 27.515474, 29.225102, 104.450759], [5.562662, 6.414730, 6.888922, 7.285128, 66.327820]]
### 10
fourier: [[7.756683, 7.812031, 8.517597, 8.874503, 45.457802], [69.313579, 69.451090, 73.622646, 79.611532, 297.049160], [51.250401, 51.341092, 53.127594, 58.845529, 269.668846], [26.230061, 26.277062, 26.936562, 30.131211, 136.103429], [21.450317, 21.460333, 22.389550, 24.415775, 117.238163], [71.155752, 71.218702, 74.854980, 81.714058, 313.230977], [20.543072, 20.643949, 21.398529, 23.851674, 117.421836], [8.127814, 8.249287, 8.447582, 9.429829, 68.253554], [47.253731, 47.791039, 48.657443, 54.490523, 209.857014], [67.621073, 67.955255, 72.683037, 77.624364, 290.509834]]
### 12
fourier: [[113.657440, 114.794779, 115.538273, 127.396573, 511.490760]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.412755,
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0.101573,
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-0.217652,
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0.085099,
-0.293851,
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],
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0.38532,
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],
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],
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"network.12.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
fourier: [[23.931393, 24.029088, 26.061661, 28.979929, 78.281793], [20.597427, 22.296105, 24.370569, 28.436384, 94.285795], [20.523823, 20.675963, 24.220871, 24.627585, 29.812790], [35.566181, 35.684903, 37.513681, 43.644906, 268.241388], [24.069352, 24.290495, 24.872140, 24.951933, 93.327111], [18.583140, 18.863250, 22.263383, 23.160400, 134.237737], [18.595682, 18.831698, 20.524079, 23.104506, 24.937621], [28.991002, 30.133232, 35.623202, 37.449650, 231.443543], [21.111123, 22.537590, 22.575717, 25.299425, 188.793705], [36.703743, 37.752838, 38.783329, 44.224604, 182.461555]]
### 2
fourier: [[12.047851, 12.100826, 12.892384, 12.905626, 123.175098], [11.638890, 11.707280, 12.175589, 13.332637, 70.064675], [11.947527, 12.751244, 13.272208, 13.921319, 45.509607], [19.747444, 20.402885, 21.567452, 26.088641, 147.357288], [18.210023, 18.975799, 24.624469, 26.399243, 167.845595], [32.237962, 37.866247, 40.958581, 44.534215, 260.398549], [24.729999, 25.279940, 25.944320, 26.937125, 162.157568], [34.822388, 38.212987, 41.694771, 42.391032, 266.419629], [17.234302, 18.357879, 18.751663, 20.807954, 144.781210], [9.985476, 10.274216, 10.739221, 13.424057, 26.492275]]
### 4
fourier: [[7.690387, 8.221219, 9.165528, 9.261745, 59.179696], [3.196079, 3.309071, 4.012844, 4.159652, 23.822116], [2.623723, 2.701220, 3.263591, 3.618017, 31.204987], [26.184792, 31.212954, 32.092575, 34.533237, 200.832932], [17.292122, 19.071761, 20.276814, 20.829740, 116.494774], [21.467046, 25.433221, 26.096827, 27.670434, 131.099152], [3.608817, 3.759033, 4.537147, 5.471315, 44.007279], [24.464500, 29.503251, 30.141711, 32.609893, 189.004357], [10.367939, 10.596276, 12.155370, 13.561477, 127.418921], [18.984048, 22.000781, 22.511000, 22.539382, 102.615765]]
### 6
fourier: [[5.911404, 6.491577, 7.542436, 7.718071, 61.808162], [10.979021, 11.051805, 11.295490, 11.298394, 55.190914], [46.770079, 55.665353, 56.012648, 60.891470, 305.250184], [15.837661, 17.050653, 18.096071, 18.803594, 109.129138], [3.788269, 3.932168, 3.999328, 4.171161, 19.613016], [8.475300, 8.591397, 9.024250, 9.207286, 30.755339], [7.230430, 7.589429, 7.836896, 7.913552, 58.856962], [31.089255, 35.931496, 36.435529, 38.818516, 182.750660], [4.512662, 4.756603, 4.817673, 5.644338, 39.174278], [14.608947, 17.164665, 17.881960, 19.673000, 109.366649]]
### 8
fourier: [[27.818090, 31.112048, 31.772653, 34.421993, 117.285514], [8.857790, 10.057718, 11.094926, 11.676832, 103.126125], [37.596696, 42.473285, 44.164631, 47.184262, 175.587923], [13.180006, 13.356194, 14.504170, 15.018956, 51.890348], [38.465187, 43.822680, 44.344419, 48.397368, 189.382465], [31.402739, 34.370360, 35.752952, 37.721345, 148.036321], [30.777437, 34.656089, 35.038706, 37.782187, 161.452701], [3.536979, 3.689423, 4.083383, 4.283601, 47.751462], [23.660145, 26.495999, 27.515474, 29.225102, 104.450759], [5.562662, 6.414730, 6.888922, 7.285128, 66.327820]]
### 10
fourier: [[7.756683, 7.812031, 8.517597, 8.874503, 45.457802], [69.313579, 69.451090, 73.622646, 79.611532, 297.049160], [51.250401, 51.341092, 53.127594, 58.845529, 269.668846], [26.230061, 26.277062, 26.936562, 30.131211, 136.103429], [21.450317, 21.460333, 22.389550, 24.415775, 117.238163], [71.155752, 71.218702, 74.854980, 81.714058, 313.230977], [20.543072, 20.643949, 21.398529, 23.851674, 117.421836], [8.127814, 8.249287, 8.447582, 9.429829, 68.253554], [47.253731, 47.791039, 48.657443, 54.490523, 209.857014], [67.621073, 67.955255, 72.683037, 77.624364, 290.509834]]
### 12
fourier: [[113.657440, 114.794779, 115.538273, 127.396573, 511.490760]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6892619132995605, "train_acc": 0.555, "val_loss": 0.6899350881576538, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6869758665561676, "train_acc": 0.555, "val_loss": 0.6882057785987854, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6831200122833252, "train_acc": 0.555, "val_loss": 0.6849676370620728, "val_acc": 0.54}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6806296408176422, "train_acc": 0.555, "val_loss": 0.6751965284347534, "val_acc": 0.54}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6645157039165497, "train_acc": 0.555, "val_loss": 0.651084840297699, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6675902307033539, "train_acc": 0.49, "val_loss": 0.6078289151191711, "val_acc": 0.54}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6222952306270599, "train_acc": 0.49, "val_loss": 0.551642656326294, "val_acc": 0.54}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5805127322673798, "train_acc": 0.49, "val_loss": 0.511631190776825, "val_acc": 0.54}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5340209007263184, "train_acc": 0.49, "val_loss": 0.47355422377586365, "val_acc": 0.54}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5051460564136505, "train_acc": 0.615, "val_loss": 0.4469783902168274, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.4600764960050583, "train_acc": 0.835, "val_loss": 0.42471468448638916, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.43498845398426056, "train_acc": 0.87, "val_loss": 0.40027308464050293, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.426326721906662, "train_acc": 0.92, "val_loss": 0.3774530291557312, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.4013053923845291, "train_acc": 0.895, "val_loss": 0.3608207702636719, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.37173324823379517, "train_acc": 0.935, "val_loss": 0.3349285423755646, "val_acc": 0.92}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6899350881576538, "final_val_loss": 0.651084840297699, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6078289151191711, "final_val_loss": 0.3349285423755646, "initial_val_acc": 0.54, "final_val_acc": 0.92, "best_val_acc": 0.96, "best_epoch": 13}, "improvement": 0.41999999999999993, "first_improvement_epoch": 4}}
|
54
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.48, "improved_accuracy": 0.84, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8264, "learning_rate": 0.06745739206568764, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[32.656539, 32.828095, 35.436466, 37.499874, 135.179802], [20.176060, 20.193249, 21.182443, 22.115386, 97.399119], [26.819870, 28.494318, 28.651434, 35.376332, 254.978760], [23.348429, 23.725635, 26.408673, 28.535518, 121.088189], [29.917942, 30.168475, 33.689152, 38.974268, 106.499472], [21.826108, 22.945133, 24.400569, 28.146512, 225.995468], [41.495224, 44.038780, 46.200586, 46.802336, 204.880294], [24.199005, 25.633815, 29.198231, 29.882866, 240.850873], [27.139309, 28.130684, 30.550463, 33.491031, 115.273443], [31.356983, 35.326174, 35.828110, 39.213855, 272.998978]]
### 2
fourier: [[20.625338, 21.893077, 22.270918, 22.318506, 178.895825], [22.003764, 22.170437, 22.679717, 23.754949, 28.376416], [49.311044, 53.199642, 55.282544, 59.921229, 327.026051], [18.189360, 18.378585, 21.021049, 21.379936, 152.493843], [20.763015, 22.486742, 23.237351, 25.816947, 40.077683], [26.325575, 29.125743, 30.461822, 31.284013, 287.999873], [42.274128, 42.994089, 45.856376, 46.452293, 119.430142], [46.654139, 48.439234, 49.365491, 51.448089, 56.653597], [20.001232, 20.389480, 21.306020, 22.356473, 216.955920], [11.492856, 12.338096, 14.479050, 14.979050, 148.782733]]
### 4
fourier: [[37.385718, 37.456443, 40.778173, 40.895626, 313.118813], [33.592144, 37.169366, 40.308875, 41.185526, 206.176723], [29.503582, 29.561430, 29.639921, 32.715653, 232.999240], [32.640946, 33.529420, 38.500813, 43.921392, 191.462194], [36.490791, 39.289343, 39.784164, 44.466890, 317.749750], [21.031644, 21.467639, 23.462703, 25.504090, 122.829062], [26.914799, 29.252623, 30.873443, 32.088720, 154.957003], [51.507714, 55.666101, 58.389422, 62.232524, 131.576195], [40.800460, 45.327973, 54.116964, 57.867829, 217.141009], [13.232683, 13.290220, 16.204981, 16.296168, 111.913155]]
### 6
fourier: [[28.205501, 30.213376, 34.995838, 40.541069, 74.188512], [67.698531, 68.098949, 69.339642, 74.419990, 344.723403], [24.562674, 25.353876, 26.415930, 26.479709, 230.297065], [23.969320, 25.158990, 26.573125, 27.540359, 218.042345], [35.116672, 35.852177, 44.254262, 47.381874, 118.466179], [26.148951, 26.327796, 27.356632, 29.119977, 133.444494], [19.313194, 20.613919, 21.824081, 21.916770, 45.680623], [25.542473, 26.752978, 30.019113, 34.331916, 139.011418], [19.841630, 20.315229, 20.679881, 21.263254, 173.607721], [19.054266, 19.535492, 20.189031, 20.788846, 134.857403]]
### 8
fourier: [[17.972914, 18.092857, 18.328974, 19.712819, 164.840816], [2.702730, 2.803668, 2.898174, 3.060594, 42.618124], [15.103259, 16.226087, 17.255070, 20.002754, 85.670184], [23.481741, 26.476316, 27.753225, 31.713390, 60.221346], [7.356946, 7.476754, 8.833032, 9.651703, 73.178518], [55.284810, 66.384962, 67.804649, 76.258252, 257.604546], [14.988100, 15.197654, 15.270099, 16.845042, 117.141590], [5.986525, 7.805618, 7.960705, 8.255781, 46.527061], [30.903152, 30.951761, 34.241700, 37.688924, 39.589960], [18.428000, 19.377040, 19.435452, 19.606631, 96.073045]]
### 10
fourier: [[9.958869, 10.540271, 11.006198, 11.926011, 17.535769], [30.829996, 32.526427, 32.665587, 35.488220, 153.279212], [38.103726, 42.310689, 44.901305, 49.201100, 108.428351], [6.180917, 6.627867, 7.082202, 7.925265, 37.358833], [32.580106, 39.308303, 40.912111, 44.915051, 143.572913], [10.521622, 11.549633, 11.871763, 12.853713, 85.473710], [33.671759, 35.018159, 35.266975, 38.292825, 192.881834], [15.447881, 15.495846, 15.682823, 16.705137, 59.884405], [34.208945, 42.176867, 43.707413, 47.564170, 183.036163], [23.965019, 28.975458, 30.141699, 33.114568, 111.446755]]
### 12
fourier: [[11.255176, 11.427611, 12.017138, 12.420184, 84.174982], [24.082440, 25.291618, 25.478138, 25.855608, 155.207817], [12.822971, 12.936464, 13.164585, 15.210419, 108.897730], [11.529476, 11.999737, 12.806462, 13.786121, 14.267038], [6.629640, 6.633844, 7.044551, 7.491323, 12.596380], [40.371901, 46.262468, 48.424777, 52.463490, 140.624358], [27.865231, 32.598326, 33.111156, 35.908089, 133.558815], [29.201620, 34.585440, 35.927982, 38.845268, 137.404424], [10.399470, 10.542343, 10.559120, 12.285842, 76.131227], [7.733755, 8.431506, 8.922810, 9.517770, 88.523990]]
### 14
fourier: [[1.007790, 1.067591, 1.124542, 1.217826, 12.542056], [29.645757, 36.041148, 36.179568, 38.979662, 139.048168], [3.916127, 4.145790, 4.256738, 5.338997, 5.414124], [19.249826, 22.732789, 23.906280, 25.984743, 81.745121], [15.144722, 17.805817, 18.142261, 19.044638, 19.914710], [13.252839, 14.330396, 14.960856, 15.446324, 57.340261], [11.099431, 12.688762, 13.347804, 14.388626, 59.101565], [1.467950, 1.585283, 1.784059, 2.172930, 19.217327], [11.039241, 11.855125, 13.052886, 13.481309, 14.409561], [11.177310, 12.048364, 12.286680, 13.151280, 41.107430]]
### 16
fourier: [[15.358933, 15.359210, 17.111263, 18.568898, 36.547569]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[32.656539, 32.828095, 35.436466, 37.499874, 135.179802], [20.176060, 20.193249, 21.182443, 22.115386, 97.399119], [26.819870, 28.494318, 28.651434, 35.376332, 254.978760], [23.348429, 23.725635, 26.408673, 28.535518, 121.088189], [29.917942, 30.168475, 33.689152, 38.974268, 106.499472], [21.826108, 22.945133, 24.400569, 28.146512, 225.995468], [41.495224, 44.038780, 46.200586, 46.802336, 204.880294], [24.199005, 25.633815, 29.198231, 29.882866, 240.850873], [27.139309, 28.130684, 30.550463, 33.491031, 115.273443], [31.356983, 35.326174, 35.828110, 39.213855, 272.998978]]
### 2
fourier: [[20.625338, 21.893077, 22.270918, 22.318506, 178.895825], [22.003764, 22.170437, 22.679717, 23.754949, 28.376416], [49.311044, 53.199642, 55.282544, 59.921229, 327.026051], [18.189360, 18.378585, 21.021049, 21.379936, 152.493843], [20.763015, 22.486742, 23.237351, 25.816947, 40.077683], [26.325575, 29.125743, 30.461822, 31.284013, 287.999873], [42.274128, 42.994089, 45.856376, 46.452293, 119.430142], [46.654139, 48.439234, 49.365491, 51.448089, 56.653597], [20.001232, 20.389480, 21.306020, 22.356473, 216.955920], [11.492856, 12.338096, 14.479050, 14.979050, 148.782733]]
### 4
fourier: [[37.385718, 37.456443, 40.778173, 40.895626, 313.118813], [33.592144, 37.169366, 40.308875, 41.185526, 206.176723], [29.503582, 29.561430, 29.639921, 32.715653, 232.999240], [32.640946, 33.529420, 38.500813, 43.921392, 191.462194], [36.490791, 39.289343, 39.784164, 44.466890, 317.749750], [21.031644, 21.467639, 23.462703, 25.504090, 122.829062], [26.914799, 29.252623, 30.873443, 32.088720, 154.957003], [51.507714, 55.666101, 58.389422, 62.232524, 131.576195], [40.800460, 45.327973, 54.116964, 57.867829, 217.141009], [13.232683, 13.290220, 16.204981, 16.296168, 111.913155]]
### 6
fourier: [[28.205501, 30.213376, 34.995838, 40.541069, 74.188512], [67.698531, 68.098949, 69.339642, 74.419990, 344.723403], [24.562674, 25.353876, 26.415930, 26.479709, 230.297065], [23.969320, 25.158990, 26.573125, 27.540359, 218.042345], [35.116672, 35.852177, 44.254262, 47.381874, 118.466179], [26.148951, 26.327796, 27.356632, 29.119977, 133.444494], [19.313194, 20.613919, 21.824081, 21.916770, 45.680623], [25.542473, 26.752978, 30.019113, 34.331916, 139.011418], [19.841630, 20.315229, 20.679881, 21.263254, 173.607721], [19.054266, 19.535492, 20.189031, 20.788846, 134.857403]]
### 8
fourier: [[17.972914, 18.092857, 18.328974, 19.712819, 164.840816], [2.702730, 2.803668, 2.898174, 3.060594, 42.618124], [15.103259, 16.226087, 17.255070, 20.002754, 85.670184], [23.481741, 26.476316, 27.753225, 31.713390, 60.221346], [7.356946, 7.476754, 8.833032, 9.651703, 73.178518], [55.284810, 66.384962, 67.804649, 76.258252, 257.604546], [14.988100, 15.197654, 15.270099, 16.845042, 117.141590], [5.986525, 7.805618, 7.960705, 8.255781, 46.527061], [30.903152, 30.951761, 34.241700, 37.688924, 39.589960], [18.428000, 19.377040, 19.435452, 19.606631, 96.073045]]
### 10
fourier: [[9.958869, 10.540271, 11.006198, 11.926011, 17.535769], [30.829996, 32.526427, 32.665587, 35.488220, 153.279212], [38.103726, 42.310689, 44.901305, 49.201100, 108.428351], [6.180917, 6.627867, 7.082202, 7.925265, 37.358833], [32.580106, 39.308303, 40.912111, 44.915051, 143.572913], [10.521622, 11.549633, 11.871763, 12.853713, 85.473710], [33.671759, 35.018159, 35.266975, 38.292825, 192.881834], [15.447881, 15.495846, 15.682823, 16.705137, 59.884405], [34.208945, 42.176867, 43.707413, 47.564170, 183.036163], [23.965019, 28.975458, 30.141699, 33.114568, 111.446755]]
### 12
fourier: [[11.255176, 11.427611, 12.017138, 12.420184, 84.174982], [24.082440, 25.291618, 25.478138, 25.855608, 155.207817], [12.822971, 12.936464, 13.164585, 15.210419, 108.897730], [11.529476, 11.999737, 12.806462, 13.786121, 14.267038], [6.629640, 6.633844, 7.044551, 7.491323, 12.596380], [40.371901, 46.262468, 48.424777, 52.463490, 140.624358], [27.865231, 32.598326, 33.111156, 35.908089, 133.558815], [29.201620, 34.585440, 35.927982, 38.845268, 137.404424], [10.399470, 10.542343, 10.559120, 12.285842, 76.131227], [7.733755, 8.431506, 8.922810, 9.517770, 88.523990]]
### 14
fourier: [[1.007790, 1.067591, 1.124542, 1.217826, 12.542056], [29.645757, 36.041148, 36.179568, 38.979662, 139.048168], [3.916127, 4.145790, 4.256738, 5.338997, 5.414124], [19.249826, 22.732789, 23.906280, 25.984743, 81.745121], [15.144722, 17.805817, 18.142261, 19.044638, 19.914710], [13.252839, 14.330396, 14.960856, 15.446324, 57.340261], [11.099431, 12.688762, 13.347804, 14.388626, 59.101565], [1.467950, 1.585283, 1.784059, 2.172930, 19.217327], [11.039241, 11.855125, 13.052886, 13.481309, 14.409561], [11.177310, 12.048364, 12.286680, 13.151280, 41.107430]]
### 16
fourier: [[15.358933, 15.359210, 17.111263, 18.568898, 36.547569]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6789182424545288, "train_acc": 0.575, "val_loss": 0.7772886753082275, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6931084394454956, "train_acc": 0.575, "val_loss": 0.7194657921791077, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7014561891555786, "train_acc": 0.505, "val_loss": 0.6921669244766235, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6929988861083984, "train_acc": 0.495, "val_loss": 0.6918691396713257, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6968807578086853, "train_acc": 0.495, "val_loss": 0.6862226724624634, "val_acc": 0.52}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6866447925567627, "train_acc": 0.495, "val_loss": 0.6355831027030945, "val_acc": 0.62}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6322892308235168, "train_acc": 0.65, "val_loss": 0.4651068150997162, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5242343246936798, "train_acc": 0.815, "val_loss": 0.49687740206718445, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5094334185123444, "train_acc": 0.73, "val_loss": 0.445260226726532, "val_acc": 0.74}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.47825388610363007, "train_acc": 0.755, "val_loss": 0.47537916898727417, "val_acc": 0.72}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.49201568961143494, "train_acc": 0.745, "val_loss": 0.46030113101005554, "val_acc": 0.74}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.5064959228038788, "train_acc": 0.75, "val_loss": 0.4515499174594879, "val_acc": 0.8}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7772886753082275, "final_val_loss": 0.7194657921791077, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.6921669244766235, "final_val_loss": 0.4515499174594879, "initial_val_acc": 0.52, "final_val_acc": 0.8, "best_val_acc": 0.84, "best_epoch": 6}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
55
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.82, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1250, "learning_rate": 0.054650206537940234, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[33.126124, 34.726084, 35.470776, 35.934182, 43.527108], [27.246083, 29.329531, 29.454834, 30.098458, 82.202835], [52.039104, 53.595581, 55.859973, 60.924390, 402.243665], [39.016991, 40.867313, 43.012384, 53.308332, 53.975638], [51.353745, 51.771511, 54.498845, 58.424847, 325.819501], [22.125770, 27.973376, 28.922956, 29.701086, 32.188235], [26.765382, 33.421403, 33.620858, 34.196911, 211.284828]]
### 2
fourier: [[25.921879, 27.829402, 28.517655, 32.014489, 233.780681], [49.743867, 51.046602, 55.081750, 67.701683, 268.163430], [10.654980, 10.823811, 11.655525, 11.972467, 108.927889], [39.432410, 39.711298, 39.990289, 59.976969, 104.286574], [84.047480, 89.784780, 92.125296, 95.352732, 542.121573], [30.087845, 33.563211, 34.508601, 34.732015, 241.775235], [38.291641, 38.799223, 41.605277, 56.227825, 117.228648]]
### 4
fourier: [[25.363568, 27.236542, 28.247380, 28.822631, 159.401081], [39.990807, 44.811049, 45.981986, 60.549495, 251.758133], [77.972098, 82.173244, 83.798246, 87.637677, 545.186017], [29.862748, 30.335070, 33.090670, 34.415309, 248.732710], [86.373458, 96.912110, 102.677541, 126.920898, 551.569231], [14.102252, 15.725938, 16.213750, 16.325397, 93.697087], [33.545007, 34.194165, 39.725938, 55.179390, 59.045369]]
### 6
fourier: [[68.613618, 72.332677, 77.338269, 85.059985, 539.845621], [72.925151, 78.198445, 83.317491, 102.754349, 497.886003], [47.762195, 51.599273, 53.879319, 55.869941, 349.471677], [15.219131, 15.297735, 16.260107, 17.440274, 123.903377], [37.365854, 41.093003, 42.520749, 57.312464, 204.705132], [108.268045, 113.203204, 121.720970, 145.576778, 720.590587], [100.812695, 106.820802, 114.068992, 137.054239, 642.047975]]
### 8
fourier: [[263.405603, 269.385015, 290.970210, 330.305431, 1854.537067], [127.731354, 128.746641, 139.966231, 159.876831, 821.125062], [100.337797, 100.694187, 109.711258, 126.221942, 661.883840], [83.013125, 88.138396, 93.302437, 102.435804, 593.810806], [12.391397, 13.241608, 13.696520, 15.503407, 115.089917], [39.808984, 41.718110, 44.653751, 49.797624, 316.602606], [188.568314, 193.403710, 208.622258, 235.815944, 1317.332630]]
### 10
fourier: [[184.690173, 190.603809, 204.973687, 231.061974, 1293.939603], [79.843102, 82.509200, 88.605456, 99.670685, 572.470591], [6.846027, 7.552983, 7.837700, 8.240409, 65.420038], [260.647398, 265.276639, 287.160340, 326.992340, 1796.512870], [100.297363, 103.177331, 111.053433, 125.356602, 707.146563], [313.186404, 317.395141, 344.387204, 393.440107, 2190.667677], [54.086944, 55.304868, 59.643888, 67.669639, 406.414471]]
### 12
fourier: [[203.941534, 209.139545, 225.392723, 255.191648, 1430.870896], [16.743032, 17.029306, 18.429077, 21.466189, 141.678119], [144.871153, 147.959637, 159.689250, 181.307308, 1022.741222], [11.674069, 11.783376, 12.836848, 14.875629, 108.949004], [63.192604, 63.808131, 69.041161, 79.001747, 391.357375], [348.260793, 357.471584, 385.019239, 435.642419, 2398.142905], [12.743915, 12.868928, 13.941535, 15.951875, 100.103127]]
### 14
fourier: [[223.588559, 228.642183, 246.364613, 279.493330, 1489.927831]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[33.126124, 34.726084, 35.470776, 35.934182, 43.527108], [27.246083, 29.329531, 29.454834, 30.098458, 82.202835], [52.039104, 53.595581, 55.859973, 60.924390, 402.243665], [39.016991, 40.867313, 43.012384, 53.308332, 53.975638], [51.353745, 51.771511, 54.498845, 58.424847, 325.819501], [22.125770, 27.973376, 28.922956, 29.701086, 32.188235], [26.765382, 33.421403, 33.620858, 34.196911, 211.284828]]
### 2
fourier: [[25.921879, 27.829402, 28.517655, 32.014489, 233.780681], [49.743867, 51.046602, 55.081750, 67.701683, 268.163430], [10.654980, 10.823811, 11.655525, 11.972467, 108.927889], [39.432410, 39.711298, 39.990289, 59.976969, 104.286574], [84.047480, 89.784780, 92.125296, 95.352732, 542.121573], [30.087845, 33.563211, 34.508601, 34.732015, 241.775235], [38.291641, 38.799223, 41.605277, 56.227825, 117.228648]]
### 4
fourier: [[25.363568, 27.236542, 28.247380, 28.822631, 159.401081], [39.990807, 44.811049, 45.981986, 60.549495, 251.758133], [77.972098, 82.173244, 83.798246, 87.637677, 545.186017], [29.862748, 30.335070, 33.090670, 34.415309, 248.732710], [86.373458, 96.912110, 102.677541, 126.920898, 551.569231], [14.102252, 15.725938, 16.213750, 16.325397, 93.697087], [33.545007, 34.194165, 39.725938, 55.179390, 59.045369]]
### 6
fourier: [[68.613618, 72.332677, 77.338269, 85.059985, 539.845621], [72.925151, 78.198445, 83.317491, 102.754349, 497.886003], [47.762195, 51.599273, 53.879319, 55.869941, 349.471677], [15.219131, 15.297735, 16.260107, 17.440274, 123.903377], [37.365854, 41.093003, 42.520749, 57.312464, 204.705132], [108.268045, 113.203204, 121.720970, 145.576778, 720.590587], [100.812695, 106.820802, 114.068992, 137.054239, 642.047975]]
### 8
fourier: [[263.405603, 269.385015, 290.970210, 330.305431, 1854.537067], [127.731354, 128.746641, 139.966231, 159.876831, 821.125062], [100.337797, 100.694187, 109.711258, 126.221942, 661.883840], [83.013125, 88.138396, 93.302437, 102.435804, 593.810806], [12.391397, 13.241608, 13.696520, 15.503407, 115.089917], [39.808984, 41.718110, 44.653751, 49.797624, 316.602606], [188.568314, 193.403710, 208.622258, 235.815944, 1317.332630]]
### 10
fourier: [[184.690173, 190.603809, 204.973687, 231.061974, 1293.939603], [79.843102, 82.509200, 88.605456, 99.670685, 572.470591], [6.846027, 7.552983, 7.837700, 8.240409, 65.420038], [260.647398, 265.276639, 287.160340, 326.992340, 1796.512870], [100.297363, 103.177331, 111.053433, 125.356602, 707.146563], [313.186404, 317.395141, 344.387204, 393.440107, 2190.667677], [54.086944, 55.304868, 59.643888, 67.669639, 406.414471]]
### 12
fourier: [[203.941534, 209.139545, 225.392723, 255.191648, 1430.870896], [16.743032, 17.029306, 18.429077, 21.466189, 141.678119], [144.871153, 147.959637, 159.689250, 181.307308, 1022.741222], [11.674069, 11.783376, 12.836848, 14.875629, 108.949004], [63.192604, 63.808131, 69.041161, 79.001747, 391.357375], [348.260793, 357.471584, 385.019239, 435.642419, 2398.142905], [12.743915, 12.868928, 13.941535, 15.951875, 100.103127]]
### 14
fourier: [[223.588559, 228.642183, 246.364613, 279.493330, 1489.927831]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7165075242519379, "train_acc": 0.425, "val_loss": 0.6916810870170593, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6891295909881592, "train_acc": 0.485, "val_loss": 0.6873291730880737, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6464183926582336, "train_acc": 0.575, "val_loss": 0.6435275077819824, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5659957528114319, "train_acc": 0.505, "val_loss": 0.666920006275177, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5238648056983948, "train_acc": 0.505, "val_loss": 0.5357699394226074, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5056318938732147, "train_acc": 0.79, "val_loss": 0.5320376753807068, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4843136817216873, "train_acc": 0.785, "val_loss": 0.47167250514030457, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.42876893281936646, "train_acc": 0.815, "val_loss": 0.4430910348892212, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4055525064468384, "train_acc": 0.835, "val_loss": 0.41703906655311584, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4490041434764862, "train_acc": 0.835, "val_loss": 0.4266175329685211, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.41390009224414825, "train_acc": 0.835, "val_loss": 0.4584107995033264, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.40833330154418945, "train_acc": 0.81, "val_loss": 0.5104355812072754, "val_acc": 0.78}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6916810870170593, "final_val_loss": 0.6435275077819824, "initial_val_acc": 0.52, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.666920006275177, "final_val_loss": 0.5104355812072754, "initial_val_acc": 0.48, "final_val_acc": 0.78, "best_val_acc": 0.82, "best_epoch": 8}, "improvement": 0.33999999999999997, "first_improvement_epoch": 2}}
|
56
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.84, "improved_accuracy": 1.0, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 9, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6942, "learning_rate": 0.039815314088510245, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[22.424134, 22.495963, 25.556749, 27.759893, 111.322380], [14.394354, 15.124210, 15.543865, 17.191030, 98.797634], [23.261600, 26.034833, 28.521171, 30.223062, 38.118879], [18.533369, 19.506197, 22.830178, 23.246302, 112.801695], [18.094918, 19.218520, 20.332316, 21.856580, 22.541683], [19.879748, 21.937690, 22.551482, 24.710763, 120.000161], [30.148303, 31.468588, 32.712036, 34.757146, 106.769764], [22.674230, 23.161940, 23.865977, 24.221577, 192.520644], [19.621143, 19.806232, 21.770106, 21.793196, 63.345031]]
### 2
fourier: [[17.125514, 17.782714, 19.214259, 19.708855, 76.608988], [18.215396, 18.519590, 19.475105, 19.890253, 21.593828], [13.830310, 15.050951, 15.565452, 15.606458, 47.642029], [25.613190, 28.085512, 28.408436, 30.218557, 31.020181], [9.647191, 9.733798, 10.146497, 10.895967, 13.519377], [16.539587, 17.080616, 19.575502, 23.209366, 170.103410], [21.605871, 21.913911, 23.143113, 24.154021, 38.233924], [15.295100, 16.582774, 22.049059, 25.677643, 98.627752], [28.152797, 31.282627, 34.002169, 38.857404, 317.580614]]
### 4
fourier: [[5.206432, 5.677382, 5.839441, 6.396909, 9.254550], [18.096512, 18.447023, 23.504348, 24.741773, 81.487607], [14.371663, 14.892548, 16.490902, 17.448758, 20.432082], [3.273432, 3.382869, 3.779540, 4.718814, 5.917111], [18.349597, 18.371211, 18.497822, 21.030971, 51.601879], [18.256649, 19.021717, 19.673220, 19.741884, 63.388271], [8.416492, 9.054011, 9.061957, 9.308434, 32.707955], [21.978957, 22.322082, 22.708136, 24.789295, 37.081901], [22.014738, 23.543665, 23.635156, 25.960977, 67.330625]]
### 6
fourier: [[20.044803, 21.521569, 21.903576, 23.269196, 39.994220], [21.353784, 21.400012, 21.784799, 22.056689, 56.120186], [8.791059, 8.828735, 9.848591, 10.920497, 52.330849], [12.580672, 12.666040, 12.797709, 12.981540, 14.320083], [16.323164, 16.386627, 16.574788, 18.586223, 29.866361], [4.712401, 4.813044, 4.984877, 5.641882, 25.200154], [32.794945, 33.077447, 33.139110, 34.878431, 67.465075], [27.078722, 29.074901, 31.126025, 34.398003, 112.875290], [6.523577, 8.631561, 8.692782, 9.188876, 86.185806]]
### 8
fourier: [[32.609074, 32.651870, 33.285704, 34.721094, 53.730181], [24.298292, 26.468031, 26.552595, 27.903478, 141.210960], [26.286481, 28.580296, 32.292451, 35.166933, 172.784362], [23.569666, 24.410462, 24.740807, 25.587485, 27.414459], [21.646635, 22.025253, 22.298659, 25.530819, 101.441615], [29.868940, 30.657402, 30.755386, 31.348888, 38.240640], [6.295587, 6.947631, 7.388045, 7.557459, 88.482383], [5.988921, 7.280158, 7.599063, 7.755237, 68.928033], [13.866417, 15.997136, 16.636671, 16.867762, 53.264290]]
### 10
fourier: [[53.308720, 53.452155, 55.852335, 60.729516, 208.546575], [34.015546, 35.673411, 36.483362, 37.312428, 38.715231], [10.855728, 12.030170, 15.095817, 16.050413, 96.934284], [15.376751, 15.615089, 16.913700, 17.630100, 146.264872], [39.641115, 42.977063, 43.121239, 44.789969, 108.026768], [19.262543, 19.424268, 20.154652, 21.285777, 44.668173], [5.891521, 7.247192, 7.247793, 7.498321, 50.299215], [13.436666, 13.490420, 13.863566, 15.780581, 49.004439], [15.867540, 18.540520, 19.546973, 19.607847, 136.965593]]
### 12
fourier: [[7.936753, 8.039935, 10.576425, 11.411137, 134.685449], [9.865975, 9.963744, 13.829721, 14.646830, 165.645161], [40.258234, 41.035596, 46.056594, 51.451641, 351.740342], [10.129875, 10.540835, 12.030807, 13.356564, 101.601257], [47.023805, 48.902341, 49.935173, 50.276927, 154.359318], [29.103641, 29.520948, 30.794863, 32.229433, 119.213651], [43.071149, 43.925492, 44.762147, 45.204183, 199.746343], [27.108660, 27.113734, 27.897758, 27.902514, 88.989135], [47.328252, 47.891950, 48.252293, 48.434206, 203.327305]]
### 14
fourier: [[80.707655, 85.633162, 86.562015, 99.315800, 724.932038]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[22.424134, 22.495963, 25.556749, 27.759893, 111.322380], [14.394354, 15.124210, 15.543865, 17.191030, 98.797634], [23.261600, 26.034833, 28.521171, 30.223062, 38.118879], [18.533369, 19.506197, 22.830178, 23.246302, 112.801695], [18.094918, 19.218520, 20.332316, 21.856580, 22.541683], [19.879748, 21.937690, 22.551482, 24.710763, 120.000161], [30.148303, 31.468588, 32.712036, 34.757146, 106.769764], [22.674230, 23.161940, 23.865977, 24.221577, 192.520644], [19.621143, 19.806232, 21.770106, 21.793196, 63.345031]]
### 2
fourier: [[17.125514, 17.782714, 19.214259, 19.708855, 76.608988], [18.215396, 18.519590, 19.475105, 19.890253, 21.593828], [13.830310, 15.050951, 15.565452, 15.606458, 47.642029], [25.613190, 28.085512, 28.408436, 30.218557, 31.020181], [9.647191, 9.733798, 10.146497, 10.895967, 13.519377], [16.539587, 17.080616, 19.575502, 23.209366, 170.103410], [21.605871, 21.913911, 23.143113, 24.154021, 38.233924], [15.295100, 16.582774, 22.049059, 25.677643, 98.627752], [28.152797, 31.282627, 34.002169, 38.857404, 317.580614]]
### 4
fourier: [[5.206432, 5.677382, 5.839441, 6.396909, 9.254550], [18.096512, 18.447023, 23.504348, 24.741773, 81.487607], [14.371663, 14.892548, 16.490902, 17.448758, 20.432082], [3.273432, 3.382869, 3.779540, 4.718814, 5.917111], [18.349597, 18.371211, 18.497822, 21.030971, 51.601879], [18.256649, 19.021717, 19.673220, 19.741884, 63.388271], [8.416492, 9.054011, 9.061957, 9.308434, 32.707955], [21.978957, 22.322082, 22.708136, 24.789295, 37.081901], [22.014738, 23.543665, 23.635156, 25.960977, 67.330625]]
### 6
fourier: [[20.044803, 21.521569, 21.903576, 23.269196, 39.994220], [21.353784, 21.400012, 21.784799, 22.056689, 56.120186], [8.791059, 8.828735, 9.848591, 10.920497, 52.330849], [12.580672, 12.666040, 12.797709, 12.981540, 14.320083], [16.323164, 16.386627, 16.574788, 18.586223, 29.866361], [4.712401, 4.813044, 4.984877, 5.641882, 25.200154], [32.794945, 33.077447, 33.139110, 34.878431, 67.465075], [27.078722, 29.074901, 31.126025, 34.398003, 112.875290], [6.523577, 8.631561, 8.692782, 9.188876, 86.185806]]
### 8
fourier: [[32.609074, 32.651870, 33.285704, 34.721094, 53.730181], [24.298292, 26.468031, 26.552595, 27.903478, 141.210960], [26.286481, 28.580296, 32.292451, 35.166933, 172.784362], [23.569666, 24.410462, 24.740807, 25.587485, 27.414459], [21.646635, 22.025253, 22.298659, 25.530819, 101.441615], [29.868940, 30.657402, 30.755386, 31.348888, 38.240640], [6.295587, 6.947631, 7.388045, 7.557459, 88.482383], [5.988921, 7.280158, 7.599063, 7.755237, 68.928033], [13.866417, 15.997136, 16.636671, 16.867762, 53.264290]]
### 10
fourier: [[53.308720, 53.452155, 55.852335, 60.729516, 208.546575], [34.015546, 35.673411, 36.483362, 37.312428, 38.715231], [10.855728, 12.030170, 15.095817, 16.050413, 96.934284], [15.376751, 15.615089, 16.913700, 17.630100, 146.264872], [39.641115, 42.977063, 43.121239, 44.789969, 108.026768], [19.262543, 19.424268, 20.154652, 21.285777, 44.668173], [5.891521, 7.247192, 7.247793, 7.498321, 50.299215], [13.436666, 13.490420, 13.863566, 15.780581, 49.004439], [15.867540, 18.540520, 19.546973, 19.607847, 136.965593]]
### 12
fourier: [[7.936753, 8.039935, 10.576425, 11.411137, 134.685449], [9.865975, 9.963744, 13.829721, 14.646830, 165.645161], [40.258234, 41.035596, 46.056594, 51.451641, 351.740342], [10.129875, 10.540835, 12.030807, 13.356564, 101.601257], [47.023805, 48.902341, 49.935173, 50.276927, 154.359318], [29.103641, 29.520948, 30.794863, 32.229433, 119.213651], [43.071149, 43.925492, 44.762147, 45.204183, 199.746343], [27.108660, 27.113734, 27.897758, 27.902514, 88.989135], [47.328252, 47.891950, 48.252293, 48.434206, 203.327305]]
### 14
fourier: [[80.707655, 85.633162, 86.562015, 99.315800, 724.932038]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7089214026927948, "train_acc": 0.41, "val_loss": 0.6915779709815979, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6865424513816833, "train_acc": 0.52, "val_loss": 0.5582733154296875, "val_acc": 0.84}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5463421791791916, "train_acc": 0.805, "val_loss": 0.6714671850204468, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5041418820619583, "train_acc": 0.77, "val_loss": 0.29013991355895996, "val_acc": 0.98}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5501036047935486, "train_acc": 0.89, "val_loss": 0.40902453660964966, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.40840043127536774, "train_acc": 0.85, "val_loss": 0.3856027126312256, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.31051675975322723, "train_acc": 0.875, "val_loss": 0.11188756674528122, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.21621131151914597, "train_acc": 0.925, "val_loss": 0.06478352844715118, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.23146556317806244, "train_acc": 0.915, "val_loss": 0.08466329425573349, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.1824771910905838, "train_acc": 0.91, "val_loss": 0.12209886312484741, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2097945213317871, "train_acc": 0.925, "val_loss": 0.06000591441988945, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.17599288374185562, "train_acc": 0.945, "val_loss": 0.0414750874042511, "val_acc": 1.0}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6915779709815979, "final_val_loss": 0.5582733154296875, "initial_val_acc": 0.56, "final_val_acc": 0.84, "best_val_acc": 0.84}, "improved_stage": {"initial_val_loss": 0.6714671850204468, "final_val_loss": 0.0414750874042511, "initial_val_acc": 0.56, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 10}, "improvement": 0.16000000000000003, "first_improvement_epoch": 1}}
|
57
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4441, "learning_rate": 0.08862911508587232, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[13.814109, 16.586477, 16.822107, 18.873461, 84.083128], [16.216803, 21.143158, 23.173289, 24.215705, 119.327553], [17.513566, 17.697985, 17.921814, 21.433501, 74.600886], [21.363234, 23.359715, 24.732360, 29.074135, 169.998567], [25.844522, 27.971547, 28.083963, 30.115569, 108.361566], [10.796054, 10.995245, 11.588014, 11.599744, 11.780059], [21.934605, 23.792796, 24.942404, 25.050793, 108.984499], [15.603584, 16.622854, 18.484310, 18.868402, 26.025338], [15.379487, 15.848060, 16.267678, 16.977269, 17.012067], [20.417020, 20.488303, 20.700750, 21.034506, 34.078116], [26.033352, 26.439132, 28.351725, 31.206147, 89.308917], [18.676890, 19.289181, 19.723322, 19.755475, 52.278496]]
### 2
fourier: [[20.680522, 21.299296, 21.562336, 27.857129, 80.656071], [16.586528, 17.722536, 18.829312, 21.004415, 120.284844], [14.326124, 14.367772, 15.361690, 15.948674, 100.608162], [7.917042, 8.649484, 10.465272, 13.554269, 112.577462], [9.443150, 9.811033, 11.180098, 12.571888, 89.115979], [21.860013, 22.431561, 24.451374, 25.310542, 86.073900], [16.474742, 16.861099, 17.962849, 19.706773, 31.793624], [12.112987, 12.344835, 13.181090, 14.691244, 17.715788], [20.053377, 20.110171, 24.031200, 24.354986, 192.166572], [12.933054, 13.105875, 14.315436, 18.971430, 60.791024], [21.298050, 21.441633, 21.571627, 26.313116, 40.084425], [20.608371, 21.133485, 21.232242, 23.929481, 97.501745]]
### 4
fourier: [[15.461140, 15.626128, 17.107377, 17.913350, 41.555939], [9.377001, 9.631982, 9.716872, 9.824878, 57.727544], [4.568272, 4.742117, 5.751762, 6.966436, 34.279018], [14.700903, 14.737474, 14.978260, 16.214842, 19.738178], [7.643060, 8.873876, 9.123703, 9.841747, 112.457016], [21.442259, 21.894686, 22.981814, 25.017791, 28.438407], [11.473160, 12.196147, 12.605298, 15.530042, 98.760746], [21.107577, 22.642125, 22.777337, 30.310587, 88.286263], [5.411724, 6.032161, 6.036066, 6.178601, 37.724771], [26.526725, 29.738570, 30.423296, 39.121074, 112.294593], [12.548868, 13.579830, 14.328450, 17.291158, 48.836807], [20.663915, 23.111763, 23.444044, 28.647242, 129.640881]]
### 6
fourier: [[7.904303, 9.013227, 9.523935, 9.810854, 91.181944], [5.827512, 5.898028, 5.904742, 6.687407, 85.881100], [18.053851, 18.344686, 18.396562, 18.942518, 22.332584], [26.523342, 28.288013, 30.793816, 37.779799, 89.665078], [5.657860, 5.976517, 6.074814, 6.493477, 12.004347], [8.681351, 9.417795, 10.256301, 11.995644, 77.859458], [31.482220, 34.014916, 36.439378, 45.494093, 136.870901], [24.914009, 27.467948, 29.034380, 36.051198, 132.514314], [9.123942, 9.806127, 10.152886, 10.867088, 95.309518], [10.326118, 10.326434, 11.161442, 13.806950, 13.885556], [8.775006, 9.165757, 9.423783, 12.067405, 29.571039], [10.261336, 11.167377, 12.554874, 15.383846, 79.071229]]
### 8
fourier: [[14.734326, 15.934109, 16.936176, 20.441451, 139.014823], [17.286718, 20.263465, 20.295400, 25.626541, 139.193307], [6.941371, 7.505563, 8.398511, 10.532581, 64.173522], [13.445275, 14.695064, 16.289027, 20.626462, 82.446695], [16.486097, 19.242475, 20.939775, 26.188626, 144.432343], [21.992935, 24.155316, 26.800279, 33.177424, 124.436626], [31.071460, 33.137240, 37.370984, 45.416253, 131.034912], [18.947625, 19.907622, 22.410182, 27.482264, 75.389406], [16.581362, 19.120659, 20.269068, 25.915264, 140.384637], [7.283219, 8.110075, 8.664128, 11.000582, 61.478254], [9.585652, 10.664268, 11.227278, 14.463511, 86.238548], [21.729304, 22.993042, 25.637859, 31.117448, 77.416936]]
### 10
fourier: [[25.118040, 28.332641, 31.211854, 38.671770, 154.104327], [13.803699, 15.577314, 17.246323, 21.252410, 103.563279], [20.081032, 22.681256, 24.912483, 30.902213, 113.873908], [9.753247, 10.975363, 12.106661, 14.968494, 81.635426], [8.136361, 9.160938, 10.034537, 12.522108, 52.433783], [4.996821, 5.639282, 6.162086, 7.667537, 41.309753], [12.953000, 14.551554, 15.975774, 19.854394, 53.665956], [8.050169, 9.113005, 10.046452, 12.428549, 82.400972], [26.211668, 29.499904, 32.473572, 40.285175, 158.270556], [10.818151, 12.235128, 13.396417, 16.656335, 78.225711], [17.928547, 20.117643, 22.191971, 27.505837, 81.493887], [4.170755, 4.759094, 5.206340, 6.455522, 53.638905]]
### 12
fourier: [[6.046364, 6.741692, 7.516302, 9.127437, 41.004596], [0.269523, 0.313834, 0.337297, 0.357110, 6.494420], [3.323429, 3.767749, 4.123948, 5.185204, 28.111537], [18.445153, 21.040221, 22.940585, 28.837729, 123.494082], [7.456981, 8.691863, 9.307341, 11.963852, 75.449380], [8.201032, 9.296607, 10.192931, 12.706813, 15.574858], [4.190234, 4.242243, 5.049846, 5.271497, 6.966250], [28.678992, 32.705336, 35.672860, 44.766826, 162.356196], [3.786168, 4.201048, 4.708144, 5.663219, 43.537476], [20.605814, 23.343584, 25.621920, 31.874640, 130.322343], [0.882370, 0.996436, 1.020791, 1.073699, 16.056520], [10.968292, 12.366789, 13.639555, 16.835415, 78.157299]]
### 14
fourier: [[0.517925, 0.541103, 0.547116, 0.738457, 15.622227], [6.151697, 6.981909, 7.592964, 9.155735, 12.314932], [6.984358, 7.870367, 8.679540, 11.121927, 55.536999], [21.986543, 25.047664, 27.371169, 34.364791, 138.966949], [7.572859, 8.617292, 9.492937, 12.070080, 58.402713], [22.407608, 25.421333, 27.803159, 34.640655, 140.392713], [12.293188, 13.976105, 15.338672, 19.255251, 76.618744], [5.598863, 6.376136, 6.903852, 8.591693, 54.103753], [16.037439, 18.199141, 19.947803, 24.991600, 103.153876], [9.340890, 10.621528, 11.624596, 14.679130, 27.887918], [19.952133, 22.761111, 24.855754, 31.258386, 127.777928], [2.744558, 3.171475, 3.422764, 4.404848, 19.186156]]
### 16
fourier: [[9.662501, 11.063556, 12.018440, 15.266792, 48.434154]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[13.814109, 16.586477, 16.822107, 18.873461, 84.083128], [16.216803, 21.143158, 23.173289, 24.215705, 119.327553], [17.513566, 17.697985, 17.921814, 21.433501, 74.600886], [21.363234, 23.359715, 24.732360, 29.074135, 169.998567], [25.844522, 27.971547, 28.083963, 30.115569, 108.361566], [10.796054, 10.995245, 11.588014, 11.599744, 11.780059], [21.934605, 23.792796, 24.942404, 25.050793, 108.984499], [15.603584, 16.622854, 18.484310, 18.868402, 26.025338], [15.379487, 15.848060, 16.267678, 16.977269, 17.012067], [20.417020, 20.488303, 20.700750, 21.034506, 34.078116], [26.033352, 26.439132, 28.351725, 31.206147, 89.308917], [18.676890, 19.289181, 19.723322, 19.755475, 52.278496]]
### 2
fourier: [[20.680522, 21.299296, 21.562336, 27.857129, 80.656071], [16.586528, 17.722536, 18.829312, 21.004415, 120.284844], [14.326124, 14.367772, 15.361690, 15.948674, 100.608162], [7.917042, 8.649484, 10.465272, 13.554269, 112.577462], [9.443150, 9.811033, 11.180098, 12.571888, 89.115979], [21.860013, 22.431561, 24.451374, 25.310542, 86.073900], [16.474742, 16.861099, 17.962849, 19.706773, 31.793624], [12.112987, 12.344835, 13.181090, 14.691244, 17.715788], [20.053377, 20.110171, 24.031200, 24.354986, 192.166572], [12.933054, 13.105875, 14.315436, 18.971430, 60.791024], [21.298050, 21.441633, 21.571627, 26.313116, 40.084425], [20.608371, 21.133485, 21.232242, 23.929481, 97.501745]]
### 4
fourier: [[15.461140, 15.626128, 17.107377, 17.913350, 41.555939], [9.377001, 9.631982, 9.716872, 9.824878, 57.727544], [4.568272, 4.742117, 5.751762, 6.966436, 34.279018], [14.700903, 14.737474, 14.978260, 16.214842, 19.738178], [7.643060, 8.873876, 9.123703, 9.841747, 112.457016], [21.442259, 21.894686, 22.981814, 25.017791, 28.438407], [11.473160, 12.196147, 12.605298, 15.530042, 98.760746], [21.107577, 22.642125, 22.777337, 30.310587, 88.286263], [5.411724, 6.032161, 6.036066, 6.178601, 37.724771], [26.526725, 29.738570, 30.423296, 39.121074, 112.294593], [12.548868, 13.579830, 14.328450, 17.291158, 48.836807], [20.663915, 23.111763, 23.444044, 28.647242, 129.640881]]
### 6
fourier: [[7.904303, 9.013227, 9.523935, 9.810854, 91.181944], [5.827512, 5.898028, 5.904742, 6.687407, 85.881100], [18.053851, 18.344686, 18.396562, 18.942518, 22.332584], [26.523342, 28.288013, 30.793816, 37.779799, 89.665078], [5.657860, 5.976517, 6.074814, 6.493477, 12.004347], [8.681351, 9.417795, 10.256301, 11.995644, 77.859458], [31.482220, 34.014916, 36.439378, 45.494093, 136.870901], [24.914009, 27.467948, 29.034380, 36.051198, 132.514314], [9.123942, 9.806127, 10.152886, 10.867088, 95.309518], [10.326118, 10.326434, 11.161442, 13.806950, 13.885556], [8.775006, 9.165757, 9.423783, 12.067405, 29.571039], [10.261336, 11.167377, 12.554874, 15.383846, 79.071229]]
### 8
fourier: [[14.734326, 15.934109, 16.936176, 20.441451, 139.014823], [17.286718, 20.263465, 20.295400, 25.626541, 139.193307], [6.941371, 7.505563, 8.398511, 10.532581, 64.173522], [13.445275, 14.695064, 16.289027, 20.626462, 82.446695], [16.486097, 19.242475, 20.939775, 26.188626, 144.432343], [21.992935, 24.155316, 26.800279, 33.177424, 124.436626], [31.071460, 33.137240, 37.370984, 45.416253, 131.034912], [18.947625, 19.907622, 22.410182, 27.482264, 75.389406], [16.581362, 19.120659, 20.269068, 25.915264, 140.384637], [7.283219, 8.110075, 8.664128, 11.000582, 61.478254], [9.585652, 10.664268, 11.227278, 14.463511, 86.238548], [21.729304, 22.993042, 25.637859, 31.117448, 77.416936]]
### 10
fourier: [[25.118040, 28.332641, 31.211854, 38.671770, 154.104327], [13.803699, 15.577314, 17.246323, 21.252410, 103.563279], [20.081032, 22.681256, 24.912483, 30.902213, 113.873908], [9.753247, 10.975363, 12.106661, 14.968494, 81.635426], [8.136361, 9.160938, 10.034537, 12.522108, 52.433783], [4.996821, 5.639282, 6.162086, 7.667537, 41.309753], [12.953000, 14.551554, 15.975774, 19.854394, 53.665956], [8.050169, 9.113005, 10.046452, 12.428549, 82.400972], [26.211668, 29.499904, 32.473572, 40.285175, 158.270556], [10.818151, 12.235128, 13.396417, 16.656335, 78.225711], [17.928547, 20.117643, 22.191971, 27.505837, 81.493887], [4.170755, 4.759094, 5.206340, 6.455522, 53.638905]]
### 12
fourier: [[6.046364, 6.741692, 7.516302, 9.127437, 41.004596], [0.269523, 0.313834, 0.337297, 0.357110, 6.494420], [3.323429, 3.767749, 4.123948, 5.185204, 28.111537], [18.445153, 21.040221, 22.940585, 28.837729, 123.494082], [7.456981, 8.691863, 9.307341, 11.963852, 75.449380], [8.201032, 9.296607, 10.192931, 12.706813, 15.574858], [4.190234, 4.242243, 5.049846, 5.271497, 6.966250], [28.678992, 32.705336, 35.672860, 44.766826, 162.356196], [3.786168, 4.201048, 4.708144, 5.663219, 43.537476], [20.605814, 23.343584, 25.621920, 31.874640, 130.322343], [0.882370, 0.996436, 1.020791, 1.073699, 16.056520], [10.968292, 12.366789, 13.639555, 16.835415, 78.157299]]
### 14
fourier: [[0.517925, 0.541103, 0.547116, 0.738457, 15.622227], [6.151697, 6.981909, 7.592964, 9.155735, 12.314932], [6.984358, 7.870367, 8.679540, 11.121927, 55.536999], [21.986543, 25.047664, 27.371169, 34.364791, 138.966949], [7.572859, 8.617292, 9.492937, 12.070080, 58.402713], [22.407608, 25.421333, 27.803159, 34.640655, 140.392713], [12.293188, 13.976105, 15.338672, 19.255251, 76.618744], [5.598863, 6.376136, 6.903852, 8.591693, 54.103753], [16.037439, 18.199141, 19.947803, 24.991600, 103.153876], [9.340890, 10.621528, 11.624596, 14.679130, 27.887918], [19.952133, 22.761111, 24.855754, 31.258386, 127.777928], [2.744558, 3.171475, 3.422764, 4.404848, 19.186156]]
### 16
fourier: [[9.662501, 11.063556, 12.018440, 15.266792, 48.434154]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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"network.16.weight": [[-0.168902, -0.05762, -0.120897, -0.267586, 0.166391, -0.107486, -0.141447, -0.263662, 0.012385, -0.249038, 0.001858, 0.050237]], "network.16.bias": [0.140382]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7005650401115417, "train_acc": 0.485, "val_loss": 0.7033957839012146, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6870042681694031, "train_acc": 0.575, "val_loss": 0.6448907256126404, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 1.4897372722625732, "train_acc": 0.505, "val_loss": 0.5107786059379578, "val_acc": 0.96}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5728558301925659, "train_acc": 0.835, "val_loss": 0.6968267560005188, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.7113355100154877, "train_acc": 0.495, "val_loss": 0.7017587423324585, "val_acc": 0.52}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.7164599001407623, "train_acc": 0.495, "val_loss": 0.6970071196556091, "val_acc": 0.52}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7033957839012146, "final_val_loss": 0.6448907256126404, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5107786059379578, "final_val_loss": 0.6970071196556091, "initial_val_acc": 0.96, "final_val_acc": 0.52, "best_val_acc": 0.96, "best_epoch": 2}, "improvement": 0.48, "first_improvement_epoch": 1}}
|
58
|
{"target_pattern": "alternating", "degraded_accuracy": 0.56, "improved_accuracy": 1.0, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7193, "learning_rate": 0.032888687983937945, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[27.033166, 28.028545, 30.378235, 33.732679, 185.838088], [24.218728, 25.481433, 25.597258, 26.281262, 173.113836], [25.305629, 25.336989, 25.396673, 28.466088, 93.923152], [25.624945, 26.224963, 27.342590, 27.909380, 33.965250], [19.990503, 20.890450, 25.231053, 30.657112, 66.374564], [16.474070, 18.390876, 19.247659, 20.798582, 91.084285], [24.044027, 24.889695, 24.944289, 26.307457, 119.917985], [41.480415, 43.585209, 45.238618, 53.520212, 128.885841], [17.784110, 18.454867, 21.393003, 23.044892, 25.367072], [22.716828, 23.047911, 23.610809, 24.056282, 92.707834], [32.275161, 32.909329, 34.788870, 36.967889, 44.507732]]
### 2
fourier: [[24.547169, 25.146140, 25.842153, 29.044158, 206.895706], [18.735481, 18.815970, 20.652387, 23.299634, 61.565581], [12.669910, 12.969288, 13.420307, 15.043426, 16.059301], [22.723686, 23.515228, 26.375502, 27.412714, 178.261042], [31.372081, 33.144389, 33.425481, 37.590816, 173.096361], [21.484933, 22.499847, 22.798618, 25.191085, 66.950825], [23.719233, 24.320150, 26.010250, 30.491023, 59.733104], [29.210243, 32.830698, 33.844909, 37.529119, 117.250239], [29.203753, 30.824577, 33.256817, 36.000225, 197.572973], [24.365936, 24.983729, 28.874270, 29.422549, 276.143307], [16.672803, 17.273123, 19.600680, 21.320241, 135.094711]]
### 4
fourier: [[10.703992, 11.064317, 13.397722, 13.642181, 62.215871], [15.373036, 15.818334, 16.418619, 16.705384, 71.962192], [18.366565, 20.730388, 21.241113, 27.361606, 110.052415], [34.386242, 34.504238, 38.480286, 39.991934, 214.567489], [22.484460, 24.071108, 26.838869, 28.387019, 37.858053], [34.568235, 36.438459, 39.811548, 40.132173, 122.720092], [23.866325, 25.692221, 30.588368, 30.799763, 70.907446], [22.823115, 24.843866, 25.170070, 25.366224, 34.642618], [30.647974, 33.586946, 34.621459, 42.596884, 157.564943], [23.896465, 23.978416, 25.045240, 26.433107, 204.212975], [21.507010, 21.796627, 22.753441, 23.021592, 33.039463]]
### 6
fourier: [[18.857122, 18.972145, 21.490948, 21.658667, 108.810569], [18.682503, 19.366300, 22.246604, 22.251083, 120.109086], [5.909864, 5.980736, 6.620066, 8.484842, 28.369753], [9.697637, 10.517939, 12.295761, 13.072975, 38.442358], [18.486782, 19.041412, 19.522532, 19.547373, 70.786325], [17.893442, 18.040038, 19.071293, 19.138110, 140.540990], [5.995671, 6.486869, 7.017195, 7.463107, 17.563957], [10.368605, 11.868719, 12.351716, 13.517394, 60.374541], [19.585790, 21.298347, 21.525836, 28.194577, 166.103513], [12.029929, 13.653951, 17.319271, 18.070687, 18.449142], [19.708151, 21.720129, 21.996292, 30.196332, 98.732981]]
### 8
fourier: [[8.531451, 8.964309, 9.949692, 11.738229, 66.850436], [24.455183, 27.616446, 30.336383, 33.646378, 198.281033], [8.573686, 8.813309, 11.414419, 11.825698, 13.552428], [26.995151, 30.278375, 30.783773, 36.693557, 230.737396], [2.750547, 3.127160, 3.136909, 3.421562, 55.698298], [27.044726, 29.715045, 31.607325, 35.850094, 50.641977], [11.898674, 12.104308, 13.406924, 14.942425, 34.627643], [18.993510, 20.457425, 24.096931, 28.100058, 31.942370], [19.664190, 19.975189, 20.073417, 23.015885, 27.072941], [20.431612, 20.971570, 23.596142, 28.214207, 117.778154], [19.857148, 20.724187, 22.284596, 25.793877, 114.473660]]
### 10
fourier: [[23.584668, 26.314100, 26.713986, 31.787713, 82.929806], [15.200813, 15.270255, 16.727983, 19.340626, 101.215141], [18.046840, 19.946342, 20.703978, 25.033142, 51.128879], [22.500378, 23.500237, 25.117205, 30.924908, 78.946330], [44.473977, 45.424172, 46.949596, 58.175619, 233.038059], [42.397874, 42.830623, 47.717855, 52.952995, 243.762785], [35.399308, 37.260499, 37.883364, 46.478536, 106.446881], [9.560670, 10.782501, 12.052844, 13.248061, 36.686193], [40.933036, 42.188876, 45.086415, 51.618230, 227.225162], [22.909623, 24.672451, 26.115453, 31.972603, 60.980844], [28.004993, 29.258786, 31.442698, 38.972899, 117.425868]]
### 12
fourier: [[56.469957, 58.585469, 62.651900, 70.729169, 318.807957]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[27.033166, 28.028545, 30.378235, 33.732679, 185.838088], [24.218728, 25.481433, 25.597258, 26.281262, 173.113836], [25.305629, 25.336989, 25.396673, 28.466088, 93.923152], [25.624945, 26.224963, 27.342590, 27.909380, 33.965250], [19.990503, 20.890450, 25.231053, 30.657112, 66.374564], [16.474070, 18.390876, 19.247659, 20.798582, 91.084285], [24.044027, 24.889695, 24.944289, 26.307457, 119.917985], [41.480415, 43.585209, 45.238618, 53.520212, 128.885841], [17.784110, 18.454867, 21.393003, 23.044892, 25.367072], [22.716828, 23.047911, 23.610809, 24.056282, 92.707834], [32.275161, 32.909329, 34.788870, 36.967889, 44.507732]]
### 2
fourier: [[24.547169, 25.146140, 25.842153, 29.044158, 206.895706], [18.735481, 18.815970, 20.652387, 23.299634, 61.565581], [12.669910, 12.969288, 13.420307, 15.043426, 16.059301], [22.723686, 23.515228, 26.375502, 27.412714, 178.261042], [31.372081, 33.144389, 33.425481, 37.590816, 173.096361], [21.484933, 22.499847, 22.798618, 25.191085, 66.950825], [23.719233, 24.320150, 26.010250, 30.491023, 59.733104], [29.210243, 32.830698, 33.844909, 37.529119, 117.250239], [29.203753, 30.824577, 33.256817, 36.000225, 197.572973], [24.365936, 24.983729, 28.874270, 29.422549, 276.143307], [16.672803, 17.273123, 19.600680, 21.320241, 135.094711]]
### 4
fourier: [[10.703992, 11.064317, 13.397722, 13.642181, 62.215871], [15.373036, 15.818334, 16.418619, 16.705384, 71.962192], [18.366565, 20.730388, 21.241113, 27.361606, 110.052415], [34.386242, 34.504238, 38.480286, 39.991934, 214.567489], [22.484460, 24.071108, 26.838869, 28.387019, 37.858053], [34.568235, 36.438459, 39.811548, 40.132173, 122.720092], [23.866325, 25.692221, 30.588368, 30.799763, 70.907446], [22.823115, 24.843866, 25.170070, 25.366224, 34.642618], [30.647974, 33.586946, 34.621459, 42.596884, 157.564943], [23.896465, 23.978416, 25.045240, 26.433107, 204.212975], [21.507010, 21.796627, 22.753441, 23.021592, 33.039463]]
### 6
fourier: [[18.857122, 18.972145, 21.490948, 21.658667, 108.810569], [18.682503, 19.366300, 22.246604, 22.251083, 120.109086], [5.909864, 5.980736, 6.620066, 8.484842, 28.369753], [9.697637, 10.517939, 12.295761, 13.072975, 38.442358], [18.486782, 19.041412, 19.522532, 19.547373, 70.786325], [17.893442, 18.040038, 19.071293, 19.138110, 140.540990], [5.995671, 6.486869, 7.017195, 7.463107, 17.563957], [10.368605, 11.868719, 12.351716, 13.517394, 60.374541], [19.585790, 21.298347, 21.525836, 28.194577, 166.103513], [12.029929, 13.653951, 17.319271, 18.070687, 18.449142], [19.708151, 21.720129, 21.996292, 30.196332, 98.732981]]
### 8
fourier: [[8.531451, 8.964309, 9.949692, 11.738229, 66.850436], [24.455183, 27.616446, 30.336383, 33.646378, 198.281033], [8.573686, 8.813309, 11.414419, 11.825698, 13.552428], [26.995151, 30.278375, 30.783773, 36.693557, 230.737396], [2.750547, 3.127160, 3.136909, 3.421562, 55.698298], [27.044726, 29.715045, 31.607325, 35.850094, 50.641977], [11.898674, 12.104308, 13.406924, 14.942425, 34.627643], [18.993510, 20.457425, 24.096931, 28.100058, 31.942370], [19.664190, 19.975189, 20.073417, 23.015885, 27.072941], [20.431612, 20.971570, 23.596142, 28.214207, 117.778154], [19.857148, 20.724187, 22.284596, 25.793877, 114.473660]]
### 10
fourier: [[23.584668, 26.314100, 26.713986, 31.787713, 82.929806], [15.200813, 15.270255, 16.727983, 19.340626, 101.215141], [18.046840, 19.946342, 20.703978, 25.033142, 51.128879], [22.500378, 23.500237, 25.117205, 30.924908, 78.946330], [44.473977, 45.424172, 46.949596, 58.175619, 233.038059], [42.397874, 42.830623, 47.717855, 52.952995, 243.762785], [35.399308, 37.260499, 37.883364, 46.478536, 106.446881], [9.560670, 10.782501, 12.052844, 13.248061, 36.686193], [40.933036, 42.188876, 45.086415, 51.618230, 227.225162], [22.909623, 24.672451, 26.115453, 31.972603, 60.980844], [28.004993, 29.258786, 31.442698, 38.972899, 117.425868]]
### 12
fourier: [[56.469957, 58.585469, 62.651900, 70.729169, 318.807957]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.680927187204361, "train_acc": 0.575, "val_loss": 0.7000059485435486, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6594591736793518, "train_acc": 0.575, "val_loss": 0.6568688750267029, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5629286170005798, "train_acc": 0.645, "val_loss": 0.4215128421783447, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3358236253261566, "train_acc": 0.795, "val_loss": 0.2582189440727234, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 1.0921429544687271, "train_acc": 0.875, "val_loss": 0.21973936259746552, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.26470786333084106, "train_acc": 0.905, "val_loss": 0.8891980051994324, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5691023021936417, "train_acc": 0.845, "val_loss": 0.41756629943847656, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.26476308703422546, "train_acc": 0.93, "val_loss": 0.12089738994836807, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.14507890492677689, "train_acc": 0.96, "val_loss": 0.12905137240886688, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.17576255649328232, "train_acc": 0.945, "val_loss": 0.10458379983901978, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.1528414785861969, "train_acc": 0.94, "val_loss": 0.06567001342773438, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.139437235891819, "train_acc": 0.97, "val_loss": 0.05967877432703972, "val_acc": 1.0}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7000059485435486, "final_val_loss": 0.6568688750267029, "initial_val_acc": 0.5, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.4215128421783447, "final_val_loss": 0.05967877432703972, "initial_val_acc": 0.64, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 7}, "improvement": 0.43999999999999995, "first_improvement_epoch": 1}}
|
59
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3204, "learning_rate": 0.054873239535058294, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[15.179980, 16.287451, 17.215538, 18.319709, 81.762784], [32.110752, 32.219998, 36.898720, 38.762729, 236.813216], [21.905277, 22.698743, 22.954337, 25.506956, 89.709884], [14.471364, 18.367723, 18.734955, 19.169532, 153.379412], [17.051171, 17.896146, 18.567212, 18.852815, 20.959236], [23.328330, 24.085605, 24.975856, 26.376981, 62.599926], [25.477421, 26.180669, 29.014485, 36.666148, 104.261748], [17.889787, 19.332062, 19.850121, 21.741416, 156.056810], [16.745234, 17.055940, 20.140509, 21.670168, 33.676377], [18.920487, 19.096209, 21.282969, 21.504016, 43.987976], [13.626749, 13.794118, 14.978839, 15.759213, 73.847522], [28.006669, 30.634489, 30.926694, 35.416802, 218.577623]]
### 2
fourier: [[14.474237, 14.653208, 15.995137, 17.133883, 68.541127], [10.718374, 11.680390, 12.422329, 12.602980, 109.154111], [18.308810, 18.770036, 19.322692, 19.718457, 124.119586], [11.391187, 11.652913, 12.668799, 14.102985, 30.092289], [10.079968, 10.901840, 12.000249, 12.107563, 28.836848], [19.324291, 20.252701, 22.915894, 24.191191, 67.314807], [11.354115, 12.893154, 13.134602, 14.120362, 53.281484], [10.331200, 11.627397, 12.557268, 12.645058, 97.836892], [7.706219, 7.815686, 8.079603, 8.727912, 9.692770], [13.829429, 14.569000, 17.027835, 18.798852, 106.548881], [11.480029, 12.185811, 12.703069, 14.804887, 106.483671], [12.142790, 12.605989, 13.271114, 13.393152, 58.036792]]
### 4
fourier: [[8.354640, 8.411991, 9.039905, 9.450047, 41.250372], [4.586929, 4.626065, 4.815279, 5.045324, 17.729230], [15.648015, 16.336080, 18.080047, 19.326440, 67.015324], [19.883404, 20.493914, 22.967792, 23.744695, 155.950959], [10.946443, 11.592586, 12.905340, 14.292052, 98.326910], [13.635971, 13.920925, 15.327201, 15.894628, 101.183577], [26.852115, 27.060663, 29.674670, 30.297181, 201.112398], [5.117662, 5.725936, 5.880380, 6.605236, 13.626696], [15.580819, 20.094695, 21.775229, 24.995601, 60.132027], [10.604208, 11.377404, 11.465968, 11.600811, 72.307565], [8.543184, 8.876866, 11.438416, 11.625757, 51.551775], [12.614376, 12.818607, 14.554202, 15.957242, 47.336525]]
### 6
fourier: [[3.313714, 3.999723, 4.018062, 4.101737, 53.959870], [33.381754, 34.909198, 37.956753, 38.830342, 212.210386], [4.961641, 5.116555, 5.983393, 5.998106, 18.137255], [13.429544, 14.525607, 15.897187, 17.916859, 87.816542], [17.738587, 18.521985, 19.609066, 20.356891, 121.818707], [25.540449, 26.053327, 27.886500, 29.454884, 153.802360], [11.740183, 11.920032, 12.792441, 13.177516, 86.588060], [26.250806, 27.552412, 30.230552, 30.330782, 170.627725], [13.451663, 14.395771, 15.151572, 15.476946, 68.340691], [10.502522, 10.657624, 11.574344, 12.165413, 99.129586], [18.045179, 18.131275, 19.965636, 22.029362, 162.878876], [12.029633, 12.132849, 12.766792, 13.489984, 81.120413]]
### 8
fourier: [[18.422837, 19.355780, 20.247669, 20.703793, 118.990276], [19.135047, 19.626123, 20.904458, 22.060110, 115.891956], [33.916360, 35.470569, 38.569921, 38.680120, 229.640511], [35.946251, 36.462093, 38.260662, 40.724548, 242.802160], [9.189785, 9.351458, 10.241411, 10.928711, 51.747630], [13.009924, 13.590317, 14.578136, 14.859462, 84.371242], [8.417997, 8.683231, 8.941890, 9.343868, 34.231552], [35.498297, 36.945939, 39.913354, 40.358974, 224.821391], [21.758777, 22.457174, 23.865974, 24.787861, 140.683553], [25.309651, 25.641157, 26.004460, 27.791115, 139.973830], [3.663401, 3.787812, 3.870623, 4.398053, 4.734730], [18.708495, 18.827894, 19.548744, 20.484470, 70.108634]]
### 10
fourier: [[1.102523, 1.129650, 1.261141, 1.319638, 21.209322], [31.898821, 33.129772, 35.805007, 36.044587, 222.772468], [14.143431, 14.619866, 15.645148, 15.795789, 73.848226], [3.812472, 3.830048, 3.887257, 4.036091, 4.134040], [18.803117, 19.524522, 21.021223, 21.051397, 91.616838], [16.078302, 16.780136, 18.700177, 18.833358, 99.970061], [15.075987, 15.739490, 17.484792, 17.545927, 112.532101], [3.227775, 3.349733, 3.769655, 3.817616, 9.786538], [24.910825, 25.680832, 28.358611, 28.928709, 173.900601], [6.632971, 6.714706, 6.887438, 6.937481, 8.165357], [19.898358, 20.733174, 22.088337, 22.571052, 161.471051], [27.973016, 28.872247, 31.970857, 32.256500, 192.870844]]
### 12
fourier: [[23.317692, 23.685371, 26.131714, 26.184243, 161.501253], [5.094232, 5.247193, 6.125332, 6.199552, 10.939795], [8.933383, 9.135500, 9.816772, 9.943259, 49.846887], [1.412885, 1.455668, 1.525158, 1.670978, 21.730398], [28.800536, 29.591870, 32.301115, 32.593556, 205.314708], [4.218677, 4.238750, 4.326950, 4.729569, 4.913672], [31.281491, 31.854773, 34.518780, 34.764516, 220.945331], [7.510307, 7.546915, 8.333134, 8.462527, 38.013852], [13.850744, 14.163444, 15.714635, 15.776648, 67.130066], [10.581559, 10.924142, 11.548858, 11.636299, 63.280044], [19.254636, 19.543019, 21.156255, 21.287033, 151.393227], [7.551967, 7.802961, 8.378006, 8.418672, 78.343005]]
### 14
fourier: [[14.775256, 15.005831, 16.090821, 16.294773, 107.056845], [17.504145, 17.584964, 19.286861, 19.467786, 96.811167], [2.442356, 2.454383, 2.491853, 2.654913, 28.972276], [26.058505, 26.298610, 28.494072, 28.804507, 158.578600], [14.843984, 14.849795, 16.437137, 16.639418, 86.821692], [13.416276, 13.551128, 14.758880, 14.858788, 52.381613], [10.482092, 10.616260, 11.523135, 11.620256, 60.680639], [4.598254, 4.645944, 4.667603, 4.856552, 44.061907], [1.848015, 1.888623, 1.909173, 1.961706, 15.846424], [0.983903, 1.015926, 1.055070, 1.106372, 10.376897], [11.324064, 11.413708, 12.263564, 12.385287, 43.227460], [15.781576, 15.792599, 17.159007, 17.394866, 91.221323]]
### 16
fourier: [[22.557258, 22.671159, 23.840546, 24.246957, 106.988132]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[15.179980, 16.287451, 17.215538, 18.319709, 81.762784], [32.110752, 32.219998, 36.898720, 38.762729, 236.813216], [21.905277, 22.698743, 22.954337, 25.506956, 89.709884], [14.471364, 18.367723, 18.734955, 19.169532, 153.379412], [17.051171, 17.896146, 18.567212, 18.852815, 20.959236], [23.328330, 24.085605, 24.975856, 26.376981, 62.599926], [25.477421, 26.180669, 29.014485, 36.666148, 104.261748], [17.889787, 19.332062, 19.850121, 21.741416, 156.056810], [16.745234, 17.055940, 20.140509, 21.670168, 33.676377], [18.920487, 19.096209, 21.282969, 21.504016, 43.987976], [13.626749, 13.794118, 14.978839, 15.759213, 73.847522], [28.006669, 30.634489, 30.926694, 35.416802, 218.577623]]
### 2
fourier: [[14.474237, 14.653208, 15.995137, 17.133883, 68.541127], [10.718374, 11.680390, 12.422329, 12.602980, 109.154111], [18.308810, 18.770036, 19.322692, 19.718457, 124.119586], [11.391187, 11.652913, 12.668799, 14.102985, 30.092289], [10.079968, 10.901840, 12.000249, 12.107563, 28.836848], [19.324291, 20.252701, 22.915894, 24.191191, 67.314807], [11.354115, 12.893154, 13.134602, 14.120362, 53.281484], [10.331200, 11.627397, 12.557268, 12.645058, 97.836892], [7.706219, 7.815686, 8.079603, 8.727912, 9.692770], [13.829429, 14.569000, 17.027835, 18.798852, 106.548881], [11.480029, 12.185811, 12.703069, 14.804887, 106.483671], [12.142790, 12.605989, 13.271114, 13.393152, 58.036792]]
### 4
fourier: [[8.354640, 8.411991, 9.039905, 9.450047, 41.250372], [4.586929, 4.626065, 4.815279, 5.045324, 17.729230], [15.648015, 16.336080, 18.080047, 19.326440, 67.015324], [19.883404, 20.493914, 22.967792, 23.744695, 155.950959], [10.946443, 11.592586, 12.905340, 14.292052, 98.326910], [13.635971, 13.920925, 15.327201, 15.894628, 101.183577], [26.852115, 27.060663, 29.674670, 30.297181, 201.112398], [5.117662, 5.725936, 5.880380, 6.605236, 13.626696], [15.580819, 20.094695, 21.775229, 24.995601, 60.132027], [10.604208, 11.377404, 11.465968, 11.600811, 72.307565], [8.543184, 8.876866, 11.438416, 11.625757, 51.551775], [12.614376, 12.818607, 14.554202, 15.957242, 47.336525]]
### 6
fourier: [[3.313714, 3.999723, 4.018062, 4.101737, 53.959870], [33.381754, 34.909198, 37.956753, 38.830342, 212.210386], [4.961641, 5.116555, 5.983393, 5.998106, 18.137255], [13.429544, 14.525607, 15.897187, 17.916859, 87.816542], [17.738587, 18.521985, 19.609066, 20.356891, 121.818707], [25.540449, 26.053327, 27.886500, 29.454884, 153.802360], [11.740183, 11.920032, 12.792441, 13.177516, 86.588060], [26.250806, 27.552412, 30.230552, 30.330782, 170.627725], [13.451663, 14.395771, 15.151572, 15.476946, 68.340691], [10.502522, 10.657624, 11.574344, 12.165413, 99.129586], [18.045179, 18.131275, 19.965636, 22.029362, 162.878876], [12.029633, 12.132849, 12.766792, 13.489984, 81.120413]]
### 8
fourier: [[18.422837, 19.355780, 20.247669, 20.703793, 118.990276], [19.135047, 19.626123, 20.904458, 22.060110, 115.891956], [33.916360, 35.470569, 38.569921, 38.680120, 229.640511], [35.946251, 36.462093, 38.260662, 40.724548, 242.802160], [9.189785, 9.351458, 10.241411, 10.928711, 51.747630], [13.009924, 13.590317, 14.578136, 14.859462, 84.371242], [8.417997, 8.683231, 8.941890, 9.343868, 34.231552], [35.498297, 36.945939, 39.913354, 40.358974, 224.821391], [21.758777, 22.457174, 23.865974, 24.787861, 140.683553], [25.309651, 25.641157, 26.004460, 27.791115, 139.973830], [3.663401, 3.787812, 3.870623, 4.398053, 4.734730], [18.708495, 18.827894, 19.548744, 20.484470, 70.108634]]
### 10
fourier: [[1.102523, 1.129650, 1.261141, 1.319638, 21.209322], [31.898821, 33.129772, 35.805007, 36.044587, 222.772468], [14.143431, 14.619866, 15.645148, 15.795789, 73.848226], [3.812472, 3.830048, 3.887257, 4.036091, 4.134040], [18.803117, 19.524522, 21.021223, 21.051397, 91.616838], [16.078302, 16.780136, 18.700177, 18.833358, 99.970061], [15.075987, 15.739490, 17.484792, 17.545927, 112.532101], [3.227775, 3.349733, 3.769655, 3.817616, 9.786538], [24.910825, 25.680832, 28.358611, 28.928709, 173.900601], [6.632971, 6.714706, 6.887438, 6.937481, 8.165357], [19.898358, 20.733174, 22.088337, 22.571052, 161.471051], [27.973016, 28.872247, 31.970857, 32.256500, 192.870844]]
### 12
fourier: [[23.317692, 23.685371, 26.131714, 26.184243, 161.501253], [5.094232, 5.247193, 6.125332, 6.199552, 10.939795], [8.933383, 9.135500, 9.816772, 9.943259, 49.846887], [1.412885, 1.455668, 1.525158, 1.670978, 21.730398], [28.800536, 29.591870, 32.301115, 32.593556, 205.314708], [4.218677, 4.238750, 4.326950, 4.729569, 4.913672], [31.281491, 31.854773, 34.518780, 34.764516, 220.945331], [7.510307, 7.546915, 8.333134, 8.462527, 38.013852], [13.850744, 14.163444, 15.714635, 15.776648, 67.130066], [10.581559, 10.924142, 11.548858, 11.636299, 63.280044], [19.254636, 19.543019, 21.156255, 21.287033, 151.393227], [7.551967, 7.802961, 8.378006, 8.418672, 78.343005]]
### 14
fourier: [[14.775256, 15.005831, 16.090821, 16.294773, 107.056845], [17.504145, 17.584964, 19.286861, 19.467786, 96.811167], [2.442356, 2.454383, 2.491853, 2.654913, 28.972276], [26.058505, 26.298610, 28.494072, 28.804507, 158.578600], [14.843984, 14.849795, 16.437137, 16.639418, 86.821692], [13.416276, 13.551128, 14.758880, 14.858788, 52.381613], [10.482092, 10.616260, 11.523135, 11.620256, 60.680639], [4.598254, 4.645944, 4.667603, 4.856552, 44.061907], [1.848015, 1.888623, 1.909173, 1.961706, 15.846424], [0.983903, 1.015926, 1.055070, 1.106372, 10.376897], [11.324064, 11.413708, 12.263564, 12.385287, 43.227460], [15.781576, 15.792599, 17.159007, 17.394866, 91.221323]]
### 16
fourier: [[22.557258, 22.671159, 23.840546, 24.246957, 106.988132]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7071099579334259, "train_acc": 0.45, "val_loss": 0.6945417523384094, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6140775382518768, "train_acc": 0.57, "val_loss": 0.5309062004089355, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 2.1069329380989075, "train_acc": 0.515, "val_loss": 0.39750567078590393, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5089934021234512, "train_acc": 0.825, "val_loss": 0.6887243390083313, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.7063090801239014, "train_acc": 0.495, "val_loss": 0.7063787579536438, "val_acc": 0.52}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.71950763463974, "train_acc": 0.495, "val_loss": 0.6932011246681213, "val_acc": 0.52}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6945417523384094, "final_val_loss": 0.5309062004089355, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.39750567078590393, "final_val_loss": 0.6932011246681213, "initial_val_acc": 0.94, "final_val_acc": 0.52, "best_val_acc": 0.94, "best_epoch": 2}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
60
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 10, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5095, "learning_rate": 0.023510451071396633, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[17.990244, 20.409424, 21.564171, 26.608825, 30.577900], [20.219515, 21.012415, 21.588240, 27.367022, 159.678813], [20.610488, 21.713197, 21.805699, 22.295267, 33.105325], [25.655392, 26.406369, 29.823832, 31.915381, 190.375408], [17.257867, 19.134357, 19.836875, 19.960125, 122.812695], [21.418210, 24.578375, 24.641825, 26.722688, 154.283870], [9.104402, 11.521608, 11.628801, 12.106159, 25.885415], [28.576446, 28.678134, 28.716383, 29.060835, 32.064925], [35.421918, 38.013400, 38.541510, 42.931288, 229.472179], [25.812453, 27.359039, 27.365416, 27.535474, 189.470340]]
### 2
fourier: [[39.217005, 44.386303, 44.998006, 49.337060, 227.641646], [49.668338, 50.239637, 55.902234, 56.454558, 343.698786], [18.915862, 19.612268, 19.632285, 23.652813, 179.074841], [19.639268, 20.473556, 21.811146, 24.753545, 168.021936], [30.777728, 32.690240, 36.820662, 37.735055, 188.449230], [15.562650, 16.030745, 17.579587, 17.979206, 72.544958], [39.028501, 45.119139, 46.121591, 47.263809, 344.846118], [26.119232, 26.762033, 27.233659, 30.189818, 105.490500], [11.805417, 13.055417, 14.262558, 14.636032, 18.646611], [39.291476, 40.685306, 47.196003, 50.627792, 278.275585]]
### 4
fourier: [[13.769771, 14.758470, 15.655983, 17.343634, 23.862595], [17.252384, 18.384785, 18.781245, 21.745715, 171.546139], [25.474982, 26.388274, 28.683032, 30.984784, 138.216529], [20.385447, 23.028726, 23.521934, 24.703114, 164.299539], [29.125837, 29.765090, 31.029912, 36.520376, 270.863593], [18.926960, 20.761663, 22.357804, 24.053877, 188.012631], [25.357901, 27.421691, 29.153289, 30.823811, 77.196608], [43.480356, 44.179292, 44.406817, 50.169830, 201.193431], [51.558701, 52.544958, 60.597738, 61.101803, 370.394325], [27.547659, 28.988469, 29.734395, 31.764571, 151.610678]]
### 6
fourier: [[42.894899, 44.661463, 51.345013, 51.597040, 325.588471], [37.418577, 37.466499, 41.359120, 43.521485, 277.112500], [43.763602, 49.504678, 50.868333, 52.905100, 368.593917], [29.209767, 29.368872, 31.255568, 32.412112, 33.344092], [11.801789, 11.913975, 12.652807, 13.952961, 30.132091], [14.557487, 14.669599, 16.133453, 17.643641, 52.426859], [11.435513, 12.063136, 12.683798, 15.541290, 126.248463], [30.541840, 31.375783, 32.640520, 38.296052, 256.119986], [24.703101, 26.249236, 27.822820, 32.317762, 273.144627], [18.120401, 19.997424, 20.934816, 24.791812, 188.163695]]
### 8
fourier: [[8.539961, 8.846586, 9.134494, 11.581171, 79.479289], [41.659103, 44.636724, 47.010191, 50.483628, 315.389804], [35.951013, 37.065274, 39.114864, 42.297694, 167.927222], [44.617774, 44.968270, 51.652484, 51.766176, 318.812959], [13.515087, 13.796647, 14.001649, 15.927408, 58.306858], [19.208189, 19.216604, 19.896744, 21.923731, 56.425217], [29.464184, 30.805694, 33.197718, 33.509901, 73.558420], [40.762293, 40.916037, 46.863266, 48.061356, 303.434292], [27.103772, 28.230744, 30.779928, 32.062434, 174.316353], [33.844857, 35.082403, 38.462370, 38.935086, 99.796165]]
### 10
fourier: [[46.012355, 46.134170, 52.611136, 54.465431, 322.676108], [34.130844, 34.444325, 40.177437, 41.892476, 200.294032], [66.930531, 67.027462, 75.382184, 77.831562, 396.529072], [36.372101, 37.405006, 42.886021, 44.223007, 237.089105], [37.880671, 38.489868, 45.020388, 46.175185, 271.963406], [9.047194, 9.055422, 9.287079, 10.195287, 85.834370], [44.250204, 47.063045, 50.292183, 50.438020, 355.100438], [9.913693, 10.252685, 10.511715, 12.796824, 78.766513], [28.030331, 28.499046, 28.810545, 35.094430, 201.507490], [62.667692, 65.709534, 69.804138, 72.155409, 437.554279]]
### 12
fourier: [[36.090708, 37.196827, 42.703292, 43.812892, 236.904345], [38.458830, 39.753054, 40.779009, 41.749401, 252.517569], [63.141293, 65.035716, 69.780676, 72.240372, 422.503004], [20.490455, 20.573282, 24.269134, 25.217021, 107.419114], [3.804513, 3.863744, 4.102279, 4.394355, 4.397566], [33.857901, 34.703179, 41.411450, 42.479491, 234.072433], [68.649049, 69.013189, 76.621337, 79.592143, 462.441134], [55.832711, 57.308096, 61.136172, 63.474821, 378.787704], [50.636593, 51.020074, 57.597470, 59.864049, 352.710138], [48.533886, 50.077810, 52.758958, 53.485145, 349.568160]]
### 14
fourier: [[38.339972, 38.927960, 45.301023, 48.016541, 212.119692]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[17.990244, 20.409424, 21.564171, 26.608825, 30.577900], [20.219515, 21.012415, 21.588240, 27.367022, 159.678813], [20.610488, 21.713197, 21.805699, 22.295267, 33.105325], [25.655392, 26.406369, 29.823832, 31.915381, 190.375408], [17.257867, 19.134357, 19.836875, 19.960125, 122.812695], [21.418210, 24.578375, 24.641825, 26.722688, 154.283870], [9.104402, 11.521608, 11.628801, 12.106159, 25.885415], [28.576446, 28.678134, 28.716383, 29.060835, 32.064925], [35.421918, 38.013400, 38.541510, 42.931288, 229.472179], [25.812453, 27.359039, 27.365416, 27.535474, 189.470340]]
### 2
fourier: [[39.217005, 44.386303, 44.998006, 49.337060, 227.641646], [49.668338, 50.239637, 55.902234, 56.454558, 343.698786], [18.915862, 19.612268, 19.632285, 23.652813, 179.074841], [19.639268, 20.473556, 21.811146, 24.753545, 168.021936], [30.777728, 32.690240, 36.820662, 37.735055, 188.449230], [15.562650, 16.030745, 17.579587, 17.979206, 72.544958], [39.028501, 45.119139, 46.121591, 47.263809, 344.846118], [26.119232, 26.762033, 27.233659, 30.189818, 105.490500], [11.805417, 13.055417, 14.262558, 14.636032, 18.646611], [39.291476, 40.685306, 47.196003, 50.627792, 278.275585]]
### 4
fourier: [[13.769771, 14.758470, 15.655983, 17.343634, 23.862595], [17.252384, 18.384785, 18.781245, 21.745715, 171.546139], [25.474982, 26.388274, 28.683032, 30.984784, 138.216529], [20.385447, 23.028726, 23.521934, 24.703114, 164.299539], [29.125837, 29.765090, 31.029912, 36.520376, 270.863593], [18.926960, 20.761663, 22.357804, 24.053877, 188.012631], [25.357901, 27.421691, 29.153289, 30.823811, 77.196608], [43.480356, 44.179292, 44.406817, 50.169830, 201.193431], [51.558701, 52.544958, 60.597738, 61.101803, 370.394325], [27.547659, 28.988469, 29.734395, 31.764571, 151.610678]]
### 6
fourier: [[42.894899, 44.661463, 51.345013, 51.597040, 325.588471], [37.418577, 37.466499, 41.359120, 43.521485, 277.112500], [43.763602, 49.504678, 50.868333, 52.905100, 368.593917], [29.209767, 29.368872, 31.255568, 32.412112, 33.344092], [11.801789, 11.913975, 12.652807, 13.952961, 30.132091], [14.557487, 14.669599, 16.133453, 17.643641, 52.426859], [11.435513, 12.063136, 12.683798, 15.541290, 126.248463], [30.541840, 31.375783, 32.640520, 38.296052, 256.119986], [24.703101, 26.249236, 27.822820, 32.317762, 273.144627], [18.120401, 19.997424, 20.934816, 24.791812, 188.163695]]
### 8
fourier: [[8.539961, 8.846586, 9.134494, 11.581171, 79.479289], [41.659103, 44.636724, 47.010191, 50.483628, 315.389804], [35.951013, 37.065274, 39.114864, 42.297694, 167.927222], [44.617774, 44.968270, 51.652484, 51.766176, 318.812959], [13.515087, 13.796647, 14.001649, 15.927408, 58.306858], [19.208189, 19.216604, 19.896744, 21.923731, 56.425217], [29.464184, 30.805694, 33.197718, 33.509901, 73.558420], [40.762293, 40.916037, 46.863266, 48.061356, 303.434292], [27.103772, 28.230744, 30.779928, 32.062434, 174.316353], [33.844857, 35.082403, 38.462370, 38.935086, 99.796165]]
### 10
fourier: [[46.012355, 46.134170, 52.611136, 54.465431, 322.676108], [34.130844, 34.444325, 40.177437, 41.892476, 200.294032], [66.930531, 67.027462, 75.382184, 77.831562, 396.529072], [36.372101, 37.405006, 42.886021, 44.223007, 237.089105], [37.880671, 38.489868, 45.020388, 46.175185, 271.963406], [9.047194, 9.055422, 9.287079, 10.195287, 85.834370], [44.250204, 47.063045, 50.292183, 50.438020, 355.100438], [9.913693, 10.252685, 10.511715, 12.796824, 78.766513], [28.030331, 28.499046, 28.810545, 35.094430, 201.507490], [62.667692, 65.709534, 69.804138, 72.155409, 437.554279]]
### 12
fourier: [[36.090708, 37.196827, 42.703292, 43.812892, 236.904345], [38.458830, 39.753054, 40.779009, 41.749401, 252.517569], [63.141293, 65.035716, 69.780676, 72.240372, 422.503004], [20.490455, 20.573282, 24.269134, 25.217021, 107.419114], [3.804513, 3.863744, 4.102279, 4.394355, 4.397566], [33.857901, 34.703179, 41.411450, 42.479491, 234.072433], [68.649049, 69.013189, 76.621337, 79.592143, 462.441134], [55.832711, 57.308096, 61.136172, 63.474821, 378.787704], [50.636593, 51.020074, 57.597470, 59.864049, 352.710138], [48.533886, 50.077810, 52.758958, 53.485145, 349.568160]]
### 14
fourier: [[38.339972, 38.927960, 45.301023, 48.016541, 212.119692]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7310495376586914, "train_acc": 0.41, "val_loss": 0.6919676065444946, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7010302543640137, "train_acc": 0.41, "val_loss": 0.6844363212585449, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6647113263607025, "train_acc": 0.59, "val_loss": 0.6352903842926025, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5875263512134552, "train_acc": 0.615, "val_loss": 0.4074898064136505, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.3521193414926529, "train_acc": 0.905, "val_loss": 0.27759525179862976, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3046696409583092, "train_acc": 0.895, "val_loss": 0.40444493293762207, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.28406503796577454, "train_acc": 0.915, "val_loss": 0.2581510841846466, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2006320357322693, "train_acc": 0.94, "val_loss": 0.19770321249961853, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.16582780331373215, "train_acc": 0.945, "val_loss": 0.16692325472831726, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.1652592420578003, "train_acc": 0.94, "val_loss": 0.13886958360671997, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.15718074142932892, "train_acc": 0.945, "val_loss": 0.14175096154212952, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.16155654937028885, "train_acc": 0.935, "val_loss": 0.10963085293769836, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.1457344815135002, "train_acc": 0.945, "val_loss": 0.08999297022819519, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6919676065444946, "final_val_loss": 0.6352903842926025, "initial_val_acc": 0.52, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.4074898064136505, "final_val_loss": 0.08999297022819519, "initial_val_acc": 0.9, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 11}, "improvement": 0.48, "first_improvement_epoch": 2}}
|
61
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.62, "improved_accuracy": 0.84, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 9, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9999, "learning_rate": 0.05408837797356106, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[12.061317, 12.298383, 14.341713, 15.014519, 30.155508], [17.929699, 19.356901, 21.659616, 24.053922, 85.778267], [24.864560, 24.917880, 25.194958, 25.951894, 27.686604], [20.704891, 21.600916, 22.774422, 36.741837, 36.876750], [21.926451, 23.141900, 23.213863, 26.662269, 114.701448], [29.553046, 30.327852, 32.112800, 38.942639, 84.260585], [7.390602, 8.297664, 10.514590, 10.821627, 16.159986], [22.455813, 27.375257, 29.057966, 32.331098, 38.312145], [34.445446, 34.451742, 38.461496, 38.870966, 185.533425]]
### 2
fourier: [[11.832267, 12.038335, 13.928352, 16.894397, 66.630940], [9.788873, 10.451996, 10.892910, 10.942952, 49.372597], [13.996291, 14.391218, 19.023814, 20.459000, 20.837603], [22.764397, 23.393791, 23.597816, 25.496862, 91.012612], [15.220485, 15.971251, 17.111167, 18.002253, 118.327531], [18.010277, 18.914727, 19.790958, 20.487321, 39.830241], [13.104617, 14.335326, 14.544408, 14.855119, 18.359909], [20.094156, 20.853025, 21.705951, 24.803447, 133.726186], [13.604003, 14.049990, 14.406762, 16.986436, 76.621518]]
### 4
fourier: [[8.957307, 9.223683, 9.619634, 10.516991, 15.999062], [14.646475, 14.996999, 16.310557, 16.494479, 94.461286], [17.571898, 17.594952, 17.746845, 20.210393, 74.986413], [12.458373, 12.865558, 13.118239, 13.643450, 69.200575], [7.701442, 7.756504, 8.230775, 9.101564, 9.201502], [14.811266, 14.907062, 15.103546, 15.210703, 88.530979], [6.648532, 6.703548, 6.834691, 7.017961, 50.289038], [12.957912, 13.365339, 13.984449, 15.061524, 51.228818], [3.264986, 4.015299, 4.238185, 4.425632, 4.568287]]
### 6
fourier: [[2.563100, 2.657073, 2.925701, 3.439294, 15.498565], [15.979182, 16.013122, 16.116670, 16.771403, 75.941763], [20.065987, 20.191236, 20.515310, 22.733163, 94.081631], [5.638870, 5.738684, 6.066339, 6.116978, 18.935043], [6.905203, 7.650536, 7.800036, 8.747410, 29.035082], [19.267785, 19.383957, 20.454169, 21.165494, 134.315137], [15.670303, 15.734012, 16.172893, 17.318119, 61.400025], [25.339070, 25.503994, 25.783418, 27.362615, 111.194216], [7.651678, 8.158471, 8.767622, 9.998312, 35.767380]]
### 8
fourier: [[18.550556, 18.625434, 18.959169, 19.740823, 144.461462], [12.213666, 12.426064, 12.617049, 12.792174, 12.842334], [17.020121, 17.414565, 17.433286, 17.664327, 129.290636], [10.043560, 10.533720, 10.602079, 10.873756, 25.717714], [31.365506, 31.426136, 32.560782, 33.258097, 93.963741], [19.830396, 20.016668, 20.577007, 21.001316, 118.899712], [22.745926, 22.765805, 23.643970, 24.283466, 109.287426], [9.803174, 10.223610, 10.378071, 10.380027, 29.482597], [16.412147, 16.728876, 17.325793, 18.027639, 91.892645]]
### 10
fourier: [[6.498136, 6.543331, 6.700491, 8.102822, 9.326622], [5.088225, 5.140548, 5.296487, 5.859684, 9.768734], [8.907711, 8.997131, 9.175009, 10.218797, 109.711523], [12.900250, 13.080822, 13.346249, 15.751158, 43.526910], [5.175643, 5.273312, 5.310554, 5.354727, 38.782638], [2.718397, 3.038843, 3.121241, 3.389820, 48.263046], [10.673379, 10.684853, 11.342733, 11.592518, 39.160525], [10.595780, 10.840975, 11.096390, 11.288363, 72.695883], [10.554874, 10.569862, 11.260462, 11.409076, 58.859571]]
### 12
fourier: [[6.008868, 6.028675, 6.287652, 6.413384, 20.567224]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[12.061317, 12.298383, 14.341713, 15.014519, 30.155508], [17.929699, 19.356901, 21.659616, 24.053922, 85.778267], [24.864560, 24.917880, 25.194958, 25.951894, 27.686604], [20.704891, 21.600916, 22.774422, 36.741837, 36.876750], [21.926451, 23.141900, 23.213863, 26.662269, 114.701448], [29.553046, 30.327852, 32.112800, 38.942639, 84.260585], [7.390602, 8.297664, 10.514590, 10.821627, 16.159986], [22.455813, 27.375257, 29.057966, 32.331098, 38.312145], [34.445446, 34.451742, 38.461496, 38.870966, 185.533425]]
### 2
fourier: [[11.832267, 12.038335, 13.928352, 16.894397, 66.630940], [9.788873, 10.451996, 10.892910, 10.942952, 49.372597], [13.996291, 14.391218, 19.023814, 20.459000, 20.837603], [22.764397, 23.393791, 23.597816, 25.496862, 91.012612], [15.220485, 15.971251, 17.111167, 18.002253, 118.327531], [18.010277, 18.914727, 19.790958, 20.487321, 39.830241], [13.104617, 14.335326, 14.544408, 14.855119, 18.359909], [20.094156, 20.853025, 21.705951, 24.803447, 133.726186], [13.604003, 14.049990, 14.406762, 16.986436, 76.621518]]
### 4
fourier: [[8.957307, 9.223683, 9.619634, 10.516991, 15.999062], [14.646475, 14.996999, 16.310557, 16.494479, 94.461286], [17.571898, 17.594952, 17.746845, 20.210393, 74.986413], [12.458373, 12.865558, 13.118239, 13.643450, 69.200575], [7.701442, 7.756504, 8.230775, 9.101564, 9.201502], [14.811266, 14.907062, 15.103546, 15.210703, 88.530979], [6.648532, 6.703548, 6.834691, 7.017961, 50.289038], [12.957912, 13.365339, 13.984449, 15.061524, 51.228818], [3.264986, 4.015299, 4.238185, 4.425632, 4.568287]]
### 6
fourier: [[2.563100, 2.657073, 2.925701, 3.439294, 15.498565], [15.979182, 16.013122, 16.116670, 16.771403, 75.941763], [20.065987, 20.191236, 20.515310, 22.733163, 94.081631], [5.638870, 5.738684, 6.066339, 6.116978, 18.935043], [6.905203, 7.650536, 7.800036, 8.747410, 29.035082], [19.267785, 19.383957, 20.454169, 21.165494, 134.315137], [15.670303, 15.734012, 16.172893, 17.318119, 61.400025], [25.339070, 25.503994, 25.783418, 27.362615, 111.194216], [7.651678, 8.158471, 8.767622, 9.998312, 35.767380]]
### 8
fourier: [[18.550556, 18.625434, 18.959169, 19.740823, 144.461462], [12.213666, 12.426064, 12.617049, 12.792174, 12.842334], [17.020121, 17.414565, 17.433286, 17.664327, 129.290636], [10.043560, 10.533720, 10.602079, 10.873756, 25.717714], [31.365506, 31.426136, 32.560782, 33.258097, 93.963741], [19.830396, 20.016668, 20.577007, 21.001316, 118.899712], [22.745926, 22.765805, 23.643970, 24.283466, 109.287426], [9.803174, 10.223610, 10.378071, 10.380027, 29.482597], [16.412147, 16.728876, 17.325793, 18.027639, 91.892645]]
### 10
fourier: [[6.498136, 6.543331, 6.700491, 8.102822, 9.326622], [5.088225, 5.140548, 5.296487, 5.859684, 9.768734], [8.907711, 8.997131, 9.175009, 10.218797, 109.711523], [12.900250, 13.080822, 13.346249, 15.751158, 43.526910], [5.175643, 5.273312, 5.310554, 5.354727, 38.782638], [2.718397, 3.038843, 3.121241, 3.389820, 48.263046], [10.673379, 10.684853, 11.342733, 11.592518, 39.160525], [10.595780, 10.840975, 11.096390, 11.288363, 72.695883], [10.554874, 10.569862, 11.260462, 11.409076, 58.859571]]
### 12
fourier: [[6.008868, 6.028675, 6.287652, 6.413384, 20.567224]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
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"network.12.bias": [0.349049]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7066196203231812, "train_acc": 0.48, "val_loss": 0.7208299040794373, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6761766672134399, "train_acc": 0.575, "val_loss": 0.6972467303276062, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6447262465953827, "train_acc": 0.575, "val_loss": 0.7163726091384888, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.648835688829422, "train_acc": 0.615, "val_loss": 0.6199557781219482, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6096782982349396, "train_acc": 0.7, "val_loss": 1.1623902320861816, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.7211891710758209, "train_acc": 0.71, "val_loss": 0.6330015659332275, "val_acc": 0.62}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6812723278999329, "train_acc": 0.59, "val_loss": 0.7025259137153625, "val_acc": 0.54}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.7382822334766388, "train_acc": 0.49, "val_loss": 0.6365756392478943, "val_acc": 0.6}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.6596918404102325, "train_acc": 0.62, "val_loss": 0.5376495718955994, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5901083052158356, "train_acc": 0.7, "val_loss": 0.5422996282577515, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.5732130110263824, "train_acc": 0.725, "val_loss": 0.5222439765930176, "val_acc": 0.74}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.5174563527107239, "train_acc": 0.75, "val_loss": 0.47488680481910706, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.4937197417020798, "train_acc": 0.78, "val_loss": 0.4299706518650055, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.4192584306001663, "train_acc": 0.825, "val_loss": 0.41437676548957825, "val_acc": 0.82}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7208299040794373, "final_val_loss": 0.6199557781219482, "initial_val_acc": 0.46, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 1.1623902320861816, "final_val_loss": 0.41437676548957825, "initial_val_acc": 0.6, "final_val_acc": 0.82, "best_val_acc": 0.84, "best_epoch": 8}, "improvement": 0.21999999999999997, "first_improvement_epoch": 3}}
|
62
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.5, "improved_accuracy": 0.72, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 9, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2617, "learning_rate": 0.03671955834795707, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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],
[
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[
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## Activation Signature
### 0
fourier: [[7.978424, 8.708608, 8.889736, 10.029012, 12.358446], [16.584207, 17.367604, 19.559962, 20.881944, 36.705857], [6.297129, 6.474247, 7.306915, 7.625995, 103.309916], [18.923180, 18.995692, 21.647344, 22.196994, 70.696078], [24.975233, 32.925434, 35.148892, 35.266966, 219.027180], [12.845959, 13.442514, 14.274118, 16.506792, 31.006098], [18.792913, 21.194826, 21.463867, 21.520298, 27.779514], [19.348611, 20.201720, 20.279346, 21.525629, 25.785867], [26.706320, 27.926977, 31.372731, 33.156815, 187.067021]]
### 2
fourier: [[7.542452, 8.285420, 8.907282, 11.654082, 19.197153], [10.926451, 11.070583, 11.253517, 12.160805, 50.640721], [5.749762, 6.051890, 6.181992, 7.495870, 9.272333], [11.508291, 12.763026, 13.574504, 15.999666, 34.123875], [25.106757, 25.236382, 26.199056, 31.215815, 87.868290], [7.241636, 7.396599, 8.278144, 8.879036, 24.011425], [13.245608, 17.141091, 18.156459, 18.621617, 118.869277], [5.226207, 5.847495, 7.160462, 8.043493, 14.551674], [7.163366, 7.185301, 8.034506, 8.238725, 10.527013]]
### 4
fourier: [[15.376203, 15.733866, 18.404710, 19.487098, 79.830404], [3.897913, 4.184440, 4.253576, 4.284930, 13.320246], [12.091831, 12.529990, 15.924909, 16.374771, 63.821557], [9.831241, 10.637707, 11.624191, 12.005699, 47.385260], [8.885541, 9.081151, 10.053408, 11.000680, 36.427928], [5.301363, 5.447820, 5.516897, 6.439354, 14.216241], [4.689543, 4.983200, 5.177834, 5.613982, 15.246541], [4.647938, 4.735875, 6.087867, 7.077997, 7.189095], [10.893623, 11.544267, 13.036843, 14.023979, 44.664532]]
### 6
fourier: [[12.287337, 12.909652, 15.646787, 15.734535, 34.885149], [9.033965, 9.581095, 11.395859, 11.538236, 56.864656], [2.121251, 2.427015, 2.561763, 2.587610, 4.640717], [18.596112, 19.553561, 23.860020, 24.141060, 94.328784], [8.341556, 8.515875, 10.817647, 10.902968, 48.486616], [13.194102, 14.351838, 16.503308, 16.626280, 74.805317], [3.775650, 3.800813, 5.011280, 5.234896, 12.947403], [2.770869, 2.848864, 3.729921, 3.899479, 8.492270], [1.350883, 1.407973, 1.922937, 2.115900, 39.245933]]
### 8
fourier: [[9.226098, 9.240808, 11.780618, 12.402839, 63.812983], [10.475068, 10.698378, 13.303797, 13.847429, 36.289418], [15.986246, 16.251882, 20.001853, 20.954954, 110.812049], [17.777796, 18.213093, 22.366931, 23.438620, 114.035146], [18.617834, 18.634132, 23.046536, 23.936056, 78.577172], [7.660351, 7.745307, 9.682480, 10.032803, 34.408579], [2.605187, 2.746261, 3.473711, 3.562012, 14.952359], [2.993318, 3.029862, 3.625368, 3.855228, 16.920234], [11.276992, 11.534026, 14.113604, 14.878454, 43.710492]]
### 10
fourier: [[22.267659, 22.395768, 27.745101, 29.849183, 109.348274], [3.646515, 3.695704, 4.384400, 4.464919, 22.327568], [5.176264, 5.401494, 5.640023, 6.720228, 7.140395], [14.905823, 14.926783, 18.558075, 20.038011, 75.989134], [1.213374, 1.213730, 1.224191, 1.244546, 14.360602], [18.666755, 18.715524, 23.192474, 24.810496, 119.336605], [19.940220, 19.984356, 24.916212, 26.543740, 105.074977], [3.294612, 3.352577, 3.835957, 3.906663, 36.125601], [6.343226, 6.519428, 7.989249, 8.732085, 44.936843]]
### 12
fourier: [[16.065355, 16.622913, 19.981331, 21.841312, 85.461818], [2.700904, 2.832754, 3.359973, 3.594642, 13.500850], [16.555189, 17.218982, 20.591942, 22.381059, 88.723167], [19.834943, 20.500917, 24.623303, 26.839603, 113.333919], [2.819444, 2.851668, 3.599074, 3.908392, 4.860039], [8.737902, 8.751254, 10.927104, 11.780021, 50.474967], [5.817221, 5.961738, 7.317513, 7.954394, 51.897844], [2.249949, 2.333728, 2.866430, 3.246775, 4.313166], [4.972023, 5.037155, 6.230938, 6.735489, 29.581795]]
### 14
fourier: [[7.737303, 8.003546, 9.628818, 10.463802, 41.536509], [1.719689, 1.738479, 2.253172, 2.387034, 4.714171], [7.707702, 8.199772, 9.511205, 10.626513, 42.774994], [14.738035, 15.306629, 18.308619, 20.086977, 60.527785], [7.367003, 7.596628, 9.150423, 10.062565, 17.357825], [7.987312, 8.344447, 9.948210, 10.763201, 38.147022], [3.627418, 3.630279, 3.784956, 4.487767, 5.134042], [13.897025, 14.324013, 17.326365, 19.106593, 90.214926], [13.695903, 14.394599, 16.965353, 18.867093, 76.456496]]
### 16
fourier: [[12.801389, 13.290747, 15.796053, 17.910629, 45.662894]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[7.978424, 8.708608, 8.889736, 10.029012, 12.358446], [16.584207, 17.367604, 19.559962, 20.881944, 36.705857], [6.297129, 6.474247, 7.306915, 7.625995, 103.309916], [18.923180, 18.995692, 21.647344, 22.196994, 70.696078], [24.975233, 32.925434, 35.148892, 35.266966, 219.027180], [12.845959, 13.442514, 14.274118, 16.506792, 31.006098], [18.792913, 21.194826, 21.463867, 21.520298, 27.779514], [19.348611, 20.201720, 20.279346, 21.525629, 25.785867], [26.706320, 27.926977, 31.372731, 33.156815, 187.067021]]
### 2
fourier: [[7.542452, 8.285420, 8.907282, 11.654082, 19.197153], [10.926451, 11.070583, 11.253517, 12.160805, 50.640721], [5.749762, 6.051890, 6.181992, 7.495870, 9.272333], [11.508291, 12.763026, 13.574504, 15.999666, 34.123875], [25.106757, 25.236382, 26.199056, 31.215815, 87.868290], [7.241636, 7.396599, 8.278144, 8.879036, 24.011425], [13.245608, 17.141091, 18.156459, 18.621617, 118.869277], [5.226207, 5.847495, 7.160462, 8.043493, 14.551674], [7.163366, 7.185301, 8.034506, 8.238725, 10.527013]]
### 4
fourier: [[15.376203, 15.733866, 18.404710, 19.487098, 79.830404], [3.897913, 4.184440, 4.253576, 4.284930, 13.320246], [12.091831, 12.529990, 15.924909, 16.374771, 63.821557], [9.831241, 10.637707, 11.624191, 12.005699, 47.385260], [8.885541, 9.081151, 10.053408, 11.000680, 36.427928], [5.301363, 5.447820, 5.516897, 6.439354, 14.216241], [4.689543, 4.983200, 5.177834, 5.613982, 15.246541], [4.647938, 4.735875, 6.087867, 7.077997, 7.189095], [10.893623, 11.544267, 13.036843, 14.023979, 44.664532]]
### 6
fourier: [[12.287337, 12.909652, 15.646787, 15.734535, 34.885149], [9.033965, 9.581095, 11.395859, 11.538236, 56.864656], [2.121251, 2.427015, 2.561763, 2.587610, 4.640717], [18.596112, 19.553561, 23.860020, 24.141060, 94.328784], [8.341556, 8.515875, 10.817647, 10.902968, 48.486616], [13.194102, 14.351838, 16.503308, 16.626280, 74.805317], [3.775650, 3.800813, 5.011280, 5.234896, 12.947403], [2.770869, 2.848864, 3.729921, 3.899479, 8.492270], [1.350883, 1.407973, 1.922937, 2.115900, 39.245933]]
### 8
fourier: [[9.226098, 9.240808, 11.780618, 12.402839, 63.812983], [10.475068, 10.698378, 13.303797, 13.847429, 36.289418], [15.986246, 16.251882, 20.001853, 20.954954, 110.812049], [17.777796, 18.213093, 22.366931, 23.438620, 114.035146], [18.617834, 18.634132, 23.046536, 23.936056, 78.577172], [7.660351, 7.745307, 9.682480, 10.032803, 34.408579], [2.605187, 2.746261, 3.473711, 3.562012, 14.952359], [2.993318, 3.029862, 3.625368, 3.855228, 16.920234], [11.276992, 11.534026, 14.113604, 14.878454, 43.710492]]
### 10
fourier: [[22.267659, 22.395768, 27.745101, 29.849183, 109.348274], [3.646515, 3.695704, 4.384400, 4.464919, 22.327568], [5.176264, 5.401494, 5.640023, 6.720228, 7.140395], [14.905823, 14.926783, 18.558075, 20.038011, 75.989134], [1.213374, 1.213730, 1.224191, 1.244546, 14.360602], [18.666755, 18.715524, 23.192474, 24.810496, 119.336605], [19.940220, 19.984356, 24.916212, 26.543740, 105.074977], [3.294612, 3.352577, 3.835957, 3.906663, 36.125601], [6.343226, 6.519428, 7.989249, 8.732085, 44.936843]]
### 12
fourier: [[16.065355, 16.622913, 19.981331, 21.841312, 85.461818], [2.700904, 2.832754, 3.359973, 3.594642, 13.500850], [16.555189, 17.218982, 20.591942, 22.381059, 88.723167], [19.834943, 20.500917, 24.623303, 26.839603, 113.333919], [2.819444, 2.851668, 3.599074, 3.908392, 4.860039], [8.737902, 8.751254, 10.927104, 11.780021, 50.474967], [5.817221, 5.961738, 7.317513, 7.954394, 51.897844], [2.249949, 2.333728, 2.866430, 3.246775, 4.313166], [4.972023, 5.037155, 6.230938, 6.735489, 29.581795]]
### 14
fourier: [[7.737303, 8.003546, 9.628818, 10.463802, 41.536509], [1.719689, 1.738479, 2.253172, 2.387034, 4.714171], [7.707702, 8.199772, 9.511205, 10.626513, 42.774994], [14.738035, 15.306629, 18.308619, 20.086977, 60.527785], [7.367003, 7.596628, 9.150423, 10.062565, 17.357825], [7.987312, 8.344447, 9.948210, 10.763201, 38.147022], [3.627418, 3.630279, 3.784956, 4.487767, 5.134042], [13.897025, 14.324013, 17.326365, 19.106593, 90.214926], [13.695903, 14.394599, 16.965353, 18.867093, 76.456496]]
### 16
fourier: [[12.801389, 13.290747, 15.796053, 17.910629, 45.662894]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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-0.14346, -0.025246, 0.181724], [0.290317, -0.215157, -0.252689, 0.102491, -0.007978, 0.361377, 0.352714, -0.168423, -0.135297], [0.342289, -0.388696, -0.204789, 0.337147, -0.249133, 0.258664, 0.276504, -0.251525, -0.165836], [0.090387, -0.10753, 0.16895, -0.200582, 0.261164, -0.055247, 0.213211, 0.105, 0.368646], [0.154996, -0.289114, 0.403587, -0.206105, -0.052177, -0.324498, 0.450158, 0.138944, 0.000951], [-0.083221, -0.264971, 0.025224, 0.160127, -0.270193, -0.088898, -0.322378, 0.001709, -0.220975], [-0.196043, -0.295322, -0.107971, 0.161718, -0.441853, -0.264863, -0.041479, -0.417246, -0.112674], [0.313436, 0.132484, 0.178239, -0.284684, 0.014661, 0.207605, -0.364222, 0.317924, -0.259498]], "network.12.bias": [-0.157168, -0.029354, 0.206328, 0.268373, -0.073, -0.005226, -0.337989, 0.043312, -0.041636], "network.14.weight": [[-0.286968, 0.146738, 0.248543, 0.085656, 0.107164, 0.198658, -0.359575, 0.036231, -0.13518], [-0.24483, -0.111389, -0.115818, 0.03612, 0.357071, 0.240572, 0.114756, -0.498635, 0.311547], [0.1844, 0.07726, 0.116682, 0.353581, 0.08102, -0.172466, -0.010165, 0.113392, 0.224575], [-0.298945, -0.133967, 0.372474, 0.233205, -0.146834, 0.421446, -0.154019, -0.120612, -0.17961], [-0.065894, 0.119315, 0.0595, -0.250408, -0.08961, -0.332237, 0.320579, -0.024602, 0.1034], [0.420893, -0.073608, -0.231242, -0.141159, 0.017069, -0.117963, 0.185375, 0.263005, 0.177532], [-0.356885, 0.268419, 0.164593, -0.194366, 0.137126, -0.243634, -0.05972, 0.249989, -0.059989], [-0.177748, -0.0523, 0.195456, 0.342657, 0.203218, 0.353983, 0.0603, -0.339529, 0.251554], [0.112407, -0.033914, 0.385601, 0.227997, -0.193438, 0.279953, -0.232102, -0.28511, 0.006222]], "network.14.bias": [-0.034578, 0.019982, 0.080837, -0.181191, 0.250117, 0.067691, 0.099423, 0.290186, 0.116603], "network.16.weight": [[-0.220424, 0.000151, -0.315459, -0.273835, 0.157017, -0.026037, 0.106376, -0.175333, -0.142706]], "network.16.bias": [0.118603]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7133383452892303, "train_acc": 0.435, "val_loss": 0.697325587272644, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6516502201557159, "train_acc": 0.59, "val_loss": 0.8206866383552551, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6144424080848694, "train_acc": 0.565, "val_loss": 0.6402438282966614, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.8228104710578918, "train_acc": 0.5, "val_loss": 0.5882233381271362, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5589728057384491, "train_acc": 0.77, "val_loss": 0.6819251179695129, "val_acc": 0.56}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6556743383407593, "train_acc": 0.655, "val_loss": 0.6964234709739685, "val_acc": 0.52}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.677071213722229, "train_acc": 0.585, "val_loss": 0.6970956325531006, "val_acc": 0.52}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.697325587272644, "final_val_loss": 0.6402438282966614, "initial_val_acc": 0.6, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5882233381271362, "final_val_loss": 0.6970956325531006, "initial_val_acc": 0.72, "final_val_acc": 0.52, "best_val_acc": 0.72, "best_epoch": 3}, "improvement": 0.21999999999999997, "first_improvement_epoch": 2}}
|
63
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.56, "improved_accuracy": 1.0, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7357, "learning_rate": 0.03138819499583542, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[30.029978, 30.442718, 32.209573, 38.208869, 250.839988], [22.916538, 23.606141, 24.328766, 28.814765, 207.925380], [24.150341, 26.883984, 29.477011, 34.773303, 146.011163], [34.831597, 39.645041, 44.267765, 46.784481, 286.716535], [30.285973, 30.304117, 31.717746, 35.026489, 57.826529], [38.408922, 40.156845, 49.045664, 50.529868, 109.995528], [31.346338, 34.181769, 35.667921, 37.496810, 42.923597], [28.602578, 29.068626, 29.323355, 29.350386, 29.687866]]
### 2
fourier: [[33.182622, 33.351001, 33.625484, 36.549508, 104.780032], [29.568938, 31.205023, 35.122260, 42.871242, 125.272334], [29.413023, 33.332006, 36.755922, 44.372182, 133.195132], [33.807908, 35.039433, 43.054097, 52.253423, 173.123233], [35.669341, 39.143229, 39.218548, 46.209309, 112.987742], [9.475365, 10.079159, 11.133735, 11.995763, 69.647020], [46.274290, 46.953171, 55.566241, 67.104871, 183.973418], [40.965314, 41.082835, 49.456777, 60.177041, 176.875785]]
### 4
fourier: [[45.586589, 52.042739, 55.811345, 68.401652, 210.545529], [94.705913, 103.505385, 113.565241, 139.474857, 394.644001], [143.221759, 157.864316, 172.219737, 212.245799, 644.980638], [89.553510, 100.110286, 102.398382, 125.763537, 352.219319], [118.358572, 126.173348, 142.044748, 174.950961, 493.493444], [67.115031, 71.383819, 81.429925, 100.055454, 285.271172], [66.714943, 69.478731, 81.170990, 99.249247, 284.594923], [4.406933, 4.895454, 5.213178, 6.109507, 22.578839]]
### 6
fourier: [[10.527764, 11.180256, 11.392503, 13.474347, 42.895588], [354.392961, 388.991476, 424.289393, 523.940619, 1471.428487], [332.987075, 360.957661, 398.776395, 492.427355, 1402.043986], [62.146402, 69.805293, 74.452569, 92.090817, 290.142672], [1.774648, 1.884965, 1.910201, 2.769014, 84.899672], [39.511583, 44.252418, 45.645903, 55.863915, 180.909134], [261.232769, 286.292266, 312.854717, 386.353392, 1080.308951], [180.656653, 196.315418, 216.455576, 266.872147, 742.490580]]
### 8
fourier: [[7.294047, 8.170716, 8.749068, 10.674519, 47.671686], [100.057446, 109.232867, 119.856580, 148.245244, 441.292530], [26.469338, 28.530777, 30.852876, 33.161067, 41.368117], [438.453347, 478.186136, 523.024330, 647.885237, 1812.257382], [610.057292, 667.352831, 727.414361, 901.338666, 2511.498118], [92.870302, 101.655141, 110.524329, 137.087661, 404.757796], [589.012882, 644.291301, 702.009303, 870.107665, 2419.445362], [198.948341, 217.831260, 237.370083, 294.187207, 836.113952]]
### 10
fourier: [[740.450496, 811.326900, 880.024925, 1093.544002, 3054.481116], [640.651591, 702.427234, 762.381911, 945.052072, 2583.941303], [184.151304, 201.754529, 220.704742, 270.084367, 612.987407], [165.294781, 181.258005, 197.645421, 242.763606, 555.534696], [54.103128, 59.885941, 65.703949, 78.184833, 104.252875], [662.136425, 725.432463, 786.753120, 978.083919, 2713.084255], [436.550669, 477.984310, 519.129214, 644.707329, 1814.847334], [520.591365, 570.087182, 618.316406, 769.436749, 2147.012899]]
### 12
fourier: [[1538.374407, 1683.223574, 1838.357188, 2259.319856, 6122.176264]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[30.029978, 30.442718, 32.209573, 38.208869, 250.839988], [22.916538, 23.606141, 24.328766, 28.814765, 207.925380], [24.150341, 26.883984, 29.477011, 34.773303, 146.011163], [34.831597, 39.645041, 44.267765, 46.784481, 286.716535], [30.285973, 30.304117, 31.717746, 35.026489, 57.826529], [38.408922, 40.156845, 49.045664, 50.529868, 109.995528], [31.346338, 34.181769, 35.667921, 37.496810, 42.923597], [28.602578, 29.068626, 29.323355, 29.350386, 29.687866]]
### 2
fourier: [[33.182622, 33.351001, 33.625484, 36.549508, 104.780032], [29.568938, 31.205023, 35.122260, 42.871242, 125.272334], [29.413023, 33.332006, 36.755922, 44.372182, 133.195132], [33.807908, 35.039433, 43.054097, 52.253423, 173.123233], [35.669341, 39.143229, 39.218548, 46.209309, 112.987742], [9.475365, 10.079159, 11.133735, 11.995763, 69.647020], [46.274290, 46.953171, 55.566241, 67.104871, 183.973418], [40.965314, 41.082835, 49.456777, 60.177041, 176.875785]]
### 4
fourier: [[45.586589, 52.042739, 55.811345, 68.401652, 210.545529], [94.705913, 103.505385, 113.565241, 139.474857, 394.644001], [143.221759, 157.864316, 172.219737, 212.245799, 644.980638], [89.553510, 100.110286, 102.398382, 125.763537, 352.219319], [118.358572, 126.173348, 142.044748, 174.950961, 493.493444], [67.115031, 71.383819, 81.429925, 100.055454, 285.271172], [66.714943, 69.478731, 81.170990, 99.249247, 284.594923], [4.406933, 4.895454, 5.213178, 6.109507, 22.578839]]
### 6
fourier: [[10.527764, 11.180256, 11.392503, 13.474347, 42.895588], [354.392961, 388.991476, 424.289393, 523.940619, 1471.428487], [332.987075, 360.957661, 398.776395, 492.427355, 1402.043986], [62.146402, 69.805293, 74.452569, 92.090817, 290.142672], [1.774648, 1.884965, 1.910201, 2.769014, 84.899672], [39.511583, 44.252418, 45.645903, 55.863915, 180.909134], [261.232769, 286.292266, 312.854717, 386.353392, 1080.308951], [180.656653, 196.315418, 216.455576, 266.872147, 742.490580]]
### 8
fourier: [[7.294047, 8.170716, 8.749068, 10.674519, 47.671686], [100.057446, 109.232867, 119.856580, 148.245244, 441.292530], [26.469338, 28.530777, 30.852876, 33.161067, 41.368117], [438.453347, 478.186136, 523.024330, 647.885237, 1812.257382], [610.057292, 667.352831, 727.414361, 901.338666, 2511.498118], [92.870302, 101.655141, 110.524329, 137.087661, 404.757796], [589.012882, 644.291301, 702.009303, 870.107665, 2419.445362], [198.948341, 217.831260, 237.370083, 294.187207, 836.113952]]
### 10
fourier: [[740.450496, 811.326900, 880.024925, 1093.544002, 3054.481116], [640.651591, 702.427234, 762.381911, 945.052072, 2583.941303], [184.151304, 201.754529, 220.704742, 270.084367, 612.987407], [165.294781, 181.258005, 197.645421, 242.763606, 555.534696], [54.103128, 59.885941, 65.703949, 78.184833, 104.252875], [662.136425, 725.432463, 786.753120, 978.083919, 2713.084255], [436.550669, 477.984310, 519.129214, 644.707329, 1814.847334], [520.591365, 570.087182, 618.316406, 769.436749, 2147.012899]]
### 12
fourier: [[1538.374407, 1683.223574, 1838.357188, 2259.319856, 6122.176264]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.213026, -0.250507, -0.445288, -0.3068, -0.435114], [-0.097922, -0.400816, -0.522624, 0.019826, 0.103316], [0.064882, 0.268075, -0.100521, -0.395563, -0.759655], [-0.869204, -0.403476, 0.032734, -0.500565, 0.081915], [-0.61108, -0.000848, 0.047672, 0.05868, 0.945461], [0.582483, -0.047633, -0.077271, -0.163309, 1.004064], [-0.861332, 0.088331, -0.236747, 0.054999, 0.846708], [-0.81363, 0.10251, 0.101386, -0.057275, 0.482701]], "network.0.bias": [0.05918, -0.536283, -0.196432, -0.464811, 0.013031, -0.142625, -0.031881, -0.089804], "network.2.weight": [[-0.139807, 0.138095, -0.333416, 0.025782, 0.437562, 0.134253, 0.634273, 0.490463], [-0.180126, -0.055852, 0.115699, 0.015427, 0.392257, 0.434496, 0.369456, 0.396573], [-0.113942, 0.159385, -0.217152, -0.274208, 0.534401, 0.387644, 0.47857, 0.130391], [-0.161757, -0.144797, -0.151576, -0.193759, 0.706927, 0.566754, 0.131108, 0.19832], [-0.26844, 0.027954, 0.102057, 0.157511, 0.652323, 0.244934, 0.774062, 0.079538], [-0.051706, 0.278251, -0.058102, 0.118692, 0.340341, -0.282856, -0.352329, -0.279729], [0.016732, 0.054024, -0.08732, 0.026646, 0.536539, 0.784986, 0.731709, 0.121967], [0.173499, 0.132546, -0.266573, 0.061155, 0.488454, 0.72606, 0.430253, 0.373817]], "network.2.bias": [-0.070091, -0.073134, 0.005948, 0.179031, -0.291476, -0.350719, -0.195303, -0.055008], "network.4.weight": [[-0.176915, -0.129131, -0.468595, -0.301429, -0.278391, 0.146137, -0.149632, 0.045575], [0.491913, 0.29416, 0.531263, 0.139737, 0.188187, 0.080622, 0.434307, 0.676332], [0.409789, 0.481632, 0.507747, 0.510845, 0.818879, 0.287973, 0.664628, 0.764706], [0.805743, 0.188409, 0.274451, 0.248585, 0.780907, 0.058112, 0.179207, 0.26206], [0.156349, 0.190284, 0.205949, 0.526093, 0.453122, 0.057144, 0.820328, 0.818263], [0.030729, -0.007431, 0.166823, 0.539017, 0.276265, 0.13082, 0.362958, 0.447885], [-0.088043, 0.171377, 0.396348, 0.487639, 0.094517, 0.344584, 0.266823, 0.499032], [-0.100592, 0.261353, -0.183305, 0.318074, 0.177997, 0.019901, -0.162065, -0.322988]], "network.4.bias": [-0.083187, -0.160006, 0.287054, -0.115955, -0.214923, -0.148972, -0.16893, 0.404609], "network.6.weight": [[-0.017201, 0.196691, -0.452238, -0.111003, 0.129399, 0.173566, 0.332529, 0.231686], [0.25611, 0.749595, 0.625234, 0.749615, 0.577819, 0.297153, 0.607592, -0.488561], [0.222811, 0.55558, 0.35795, 0.417723, 0.820009, 0.799951, 0.62331, -0.433345], [0.188894, -0.177215, -0.277022, -0.097122, -0.138906, 0.075969, 0.197566, -0.181655], [-0.060236, -0.141473, 0.298543, 0.009911, -0.385869, 0.0426, 0.194278, 0.484139], [0.278032, -0.166873, -0.440659, -0.102128, 0.309177, 0.015195, 0.187062, 0.092649], [-0.130658, 0.475176, 0.589437, 0.398771, 0.487043, 0.474989, 0.115096, -0.27051], [-0.316858, 0.058984, 0.415563, 0.323891, 0.300484, 0.169273, 0.586218, -0.602064]], "network.6.bias": [-0.057085, -0.29141, 0.012779, -0.126245, 0.616333, -0.088004, -0.35902, -0.13612], "network.8.weight": [[0.231787, -0.256336, 0.005956, -0.106842, 0.06601, 0.273442, 0.238193, 0.107768], [0.089595, -0.080046, -0.219067, 0.323699, -0.27365, -0.032417, 0.068729, -0.094748], [-0.064452, -0.091944, 0.094887, -0.033732, 0.591586, -0.197542, -0.09462, -0.011174], [0.167215, 0.231041, 0.60021, 0.170394, -0.08993, -0.206994, 0.288322, 0.451067], [0.203233, 0.712292, 0.553256, 0.205328, -0.203167, 0.2082, 0.566241, 0.140861], [-0.318041, -0.074888, -0.03598, -0.134883, 0.122144, -0.329554, -0.188516, -0.027576], [0.229931, 0.69484, 0.453774, 0.251231, -0.22976, 0.142071, 0.445454, 0.416677], [-0.11435, -0.132085, -0.180685, -0.007631, -0.127276, -0.200882, -0.278847, -0.107436]], "network.8.bias": [-0.245976, 0.04055, 0.792744, -0.143947, -0.204452, -0.322126, -0.198942, 0.065774], "network.10.weight": [[-0.192181, 0.133394, -0.184713, 0.480632, 0.393051, 0.112716, 0.490752, 0.172466], [0.092225, 0.238007, -0.576147, 0.180959, 0.588899, 0.078664, 0.335545, -0.022801], [0.328489, -0.214653, 0.745614, -0.16179, -0.122027, 0.125843, -0.0549, -0.109944], [0.162741, -0.048192, 0.539706, -0.064523, -0.015235, -0.104035, -0.20902, 0.265551], [0.181712, 0.262727, 0.646486, 0.251756, -0.120923, 0.210838, -0.144475, -0.07981], [-0.001758, 0.290919, -0.088303, 0.477076, 0.266618, -0.205437, 0.492697, 0.137908], [-0.326922, 0.335106, -0.125834, 0.446032, 0.411403, 0.249939, -0.018199, 0.109613], [-0.059134, 0.07545, 0.088717, 0.499095, 0.272083, 0.027838, 0.232686, -0.122923]], "network.10.bias": [0.137679, -0.03884, 0.782754, 0.782994, 0.549306, -0.170681, 0.232901, -0.178874], "network.12.weight": [[-0.586993, -0.513114, 0.634245, 0.78949, 0.715477, -0.602311, -0.305317, -0.434019]], "network.12.bias": [0.117039]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.689191609621048, "train_acc": 0.555, "val_loss": 0.6853708028793335, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6878024935722351, "train_acc": 0.555, "val_loss": 0.6783226728439331, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6820994317531586, "train_acc": 0.555, "val_loss": 0.6642605662345886, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6685046553611755, "train_acc": 0.555, "val_loss": 0.5943496823310852, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6112903356552124, "train_acc": 0.485, "val_loss": 0.42257389426231384, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4996139854192734, "train_acc": 0.805, "val_loss": 0.3214595913887024, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.39484041929244995, "train_acc": 0.885, "val_loss": 0.2574863135814667, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3021278828382492, "train_acc": 0.915, "val_loss": 0.19394825398921967, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.2672862112522125, "train_acc": 0.91, "val_loss": 0.16669327020645142, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.2519543021917343, "train_acc": 0.92, "val_loss": 0.1881336271762848, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.20585447549819946, "train_acc": 0.925, "val_loss": 0.14123781025409698, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2091272622346878, "train_acc": 0.945, "val_loss": 0.2313460111618042, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.1810130774974823, "train_acc": 0.94, "val_loss": 0.10956215113401413, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.17823169380426407, "train_acc": 0.95, "val_loss": 0.01949714869260788, "val_acc": 1.0}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6853708028793335, "final_val_loss": 0.5943496823310852, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.42257389426231384, "final_val_loss": 0.01949714869260788, "initial_val_acc": 0.86, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 13}, "improvement": 0.43999999999999995, "first_improvement_epoch": 3}}
|
64
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.52, "improved_accuracy": 0.9, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8539, "learning_rate": 0.04139295371590475, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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"network.2.weight": [
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## Activation Signature
### 0
fourier: [[23.523510, 24.489004, 25.251149, 29.146391, 151.206382], [34.386115, 34.791924, 34.964358, 36.530618, 143.068072], [19.239831, 19.383684, 22.695610, 24.328261, 154.669977], [29.190974, 32.433767, 32.518514, 38.862619, 146.007296], [16.186991, 17.128377, 17.412756, 17.516119, 127.521365], [29.168165, 31.755978, 33.143223, 37.618861, 236.678341], [27.142070, 27.606571, 28.418890, 29.822462, 30.128719], [36.608529, 39.868863, 43.115038, 46.515611, 173.675788], [32.808388, 38.082565, 39.346430, 42.747498, 214.419397], [19.132945, 20.927258, 22.884930, 25.315645, 26.276002], [28.971648, 33.851646, 38.622531, 38.690652, 39.225367]]
### 2
fourier: [[11.724346, 12.875688, 12.952821, 14.069804, 72.342097], [19.922789, 25.833240, 28.900524, 31.819947, 36.189590], [37.599505, 40.585598, 48.923218, 50.818449, 168.331955], [18.398991, 19.354250, 20.362703, 24.194149, 25.294788], [16.136816, 16.160310, 17.329757, 20.712202, 31.231227], [15.046973, 15.217325, 16.536100, 17.786821, 24.228344], [22.694651, 22.695359, 23.721667, 27.352015, 139.690812], [16.987400, 17.223501, 19.270045, 23.370494, 35.098090], [13.318113, 13.613791, 15.664727, 18.439945, 162.501460], [29.746572, 34.870368, 41.386501, 43.643215, 128.877054], [17.614432, 18.195089, 19.638698, 20.805305, 38.898931]]
### 4
fourier: [[3.932468, 4.250090, 4.866062, 4.939124, 5.696105], [12.994750, 13.380310, 17.340480, 17.394191, 77.420437], [8.943574, 9.675416, 10.136110, 12.501645, 54.262920], [20.153131, 21.959115, 24.710155, 26.630291, 143.240648], [51.772805, 60.288065, 60.636379, 71.735822, 223.426154], [13.687879, 14.334675, 15.909901, 18.455402, 20.944155], [33.633345, 39.780165, 39.940532, 48.073365, 137.465474], [12.017240, 12.874277, 16.314922, 16.778890, 81.525043], [64.217306, 68.821506, 76.151464, 87.243805, 266.109036], [20.741424, 21.019775, 22.777899, 26.416891, 40.884256], [29.910050, 31.835900, 31.875880, 39.972796, 171.884904]]
### 6
fourier: [[64.278482, 76.214277, 77.326527, 89.901916, 286.276467], [25.276359, 26.633193, 30.192012, 34.580853, 78.503885], [56.960953, 65.736883, 66.580305, 77.127283, 246.825181], [71.284995, 82.981659, 83.531288, 98.265048, 328.955272], [42.125021, 44.824777, 47.368228, 53.787126, 216.139641], [35.298652, 39.058611, 40.909118, 47.295032, 174.115095], [13.901003, 16.108725, 16.429542, 18.445672, 19.529600], [20.174028, 20.772639, 23.377524, 26.517531, 104.362915], [54.822001, 61.009909, 64.228885, 75.284732, 240.645519], [23.276565, 23.688915, 26.462360, 30.730343, 75.097707], [30.745098, 35.680171, 35.956782, 40.720038, 165.443003]]
### 8
fourier: [[86.442885, 99.884367, 100.739248, 119.995124, 351.900267], [46.349659, 52.944521, 53.629935, 62.782772, 246.177792], [90.914783, 103.298213, 105.523857, 124.805947, 380.379812], [33.762235, 39.305967, 39.560366, 47.587952, 121.873764], [53.776098, 62.072892, 62.224076, 72.111301, 252.728728], [79.861231, 89.943377, 92.571826, 108.886402, 332.461644], [87.381401, 99.205025, 101.235043, 119.407563, 354.524122], [30.677118, 34.358271, 35.262271, 40.689670, 151.680880], [31.322160, 36.138535, 36.251149, 40.801426, 174.755977], [38.595481, 43.491777, 44.398759, 50.843851, 189.147399], [61.664665, 69.176699, 71.032098, 82.002690, 295.011676]]
### 10
fourier: [[99.193438, 111.232830, 112.800469, 132.392328, 409.194759], [53.742417, 60.558694, 61.092157, 71.883896, 288.941453], [15.176701, 17.191155, 17.205255, 20.235180, 75.463816], [133.779309, 150.434498, 151.993766, 178.529830, 577.193544], [18.663899, 20.986601, 21.161811, 24.789282, 83.866538], [6.582016, 7.465072, 7.533928, 8.821981, 43.053438], [122.618064, 137.213069, 139.225979, 163.016830, 537.356308], [32.754462, 36.365663, 37.253540, 43.473786, 172.641409], [24.589509, 27.442254, 27.910688, 32.683777, 120.106216], [99.918244, 111.671963, 113.525726, 132.891720, 416.076139], [25.500441, 28.206808, 28.976405, 33.788804, 127.095405]]
### 12
fourier: [[7.694223, 8.501045, 8.647185, 9.969662, 58.452542], [58.831270, 66.001047, 66.682503, 78.136914, 290.113023], [85.786499, 96.163811, 97.139511, 113.671567, 350.091632], [64.093747, 71.769823, 72.559918, 84.842933, 286.867114], [47.601338, 53.474504, 54.000018, 63.371987, 242.864983], [84.974902, 95.012421, 96.186325, 112.367509, 341.056353], [31.510323, 35.141383, 35.629644, 41.524434, 147.642502], [3.632384, 3.925386, 4.067148, 4.616777, 29.864644], [104.442039, 117.097506, 118.318523, 138.528891, 421.269091], [69.492447, 77.787621, 78.721550, 92.085778, 313.253912], [73.507815, 82.282032, 83.189229, 97.221987, 310.017551]]
### 14
fourier: [[87.532870, 97.758049, 98.709972, 114.818136, 308.934367]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[23.523510, 24.489004, 25.251149, 29.146391, 151.206382], [34.386115, 34.791924, 34.964358, 36.530618, 143.068072], [19.239831, 19.383684, 22.695610, 24.328261, 154.669977], [29.190974, 32.433767, 32.518514, 38.862619, 146.007296], [16.186991, 17.128377, 17.412756, 17.516119, 127.521365], [29.168165, 31.755978, 33.143223, 37.618861, 236.678341], [27.142070, 27.606571, 28.418890, 29.822462, 30.128719], [36.608529, 39.868863, 43.115038, 46.515611, 173.675788], [32.808388, 38.082565, 39.346430, 42.747498, 214.419397], [19.132945, 20.927258, 22.884930, 25.315645, 26.276002], [28.971648, 33.851646, 38.622531, 38.690652, 39.225367]]
### 2
fourier: [[11.724346, 12.875688, 12.952821, 14.069804, 72.342097], [19.922789, 25.833240, 28.900524, 31.819947, 36.189590], [37.599505, 40.585598, 48.923218, 50.818449, 168.331955], [18.398991, 19.354250, 20.362703, 24.194149, 25.294788], [16.136816, 16.160310, 17.329757, 20.712202, 31.231227], [15.046973, 15.217325, 16.536100, 17.786821, 24.228344], [22.694651, 22.695359, 23.721667, 27.352015, 139.690812], [16.987400, 17.223501, 19.270045, 23.370494, 35.098090], [13.318113, 13.613791, 15.664727, 18.439945, 162.501460], [29.746572, 34.870368, 41.386501, 43.643215, 128.877054], [17.614432, 18.195089, 19.638698, 20.805305, 38.898931]]
### 4
fourier: [[3.932468, 4.250090, 4.866062, 4.939124, 5.696105], [12.994750, 13.380310, 17.340480, 17.394191, 77.420437], [8.943574, 9.675416, 10.136110, 12.501645, 54.262920], [20.153131, 21.959115, 24.710155, 26.630291, 143.240648], [51.772805, 60.288065, 60.636379, 71.735822, 223.426154], [13.687879, 14.334675, 15.909901, 18.455402, 20.944155], [33.633345, 39.780165, 39.940532, 48.073365, 137.465474], [12.017240, 12.874277, 16.314922, 16.778890, 81.525043], [64.217306, 68.821506, 76.151464, 87.243805, 266.109036], [20.741424, 21.019775, 22.777899, 26.416891, 40.884256], [29.910050, 31.835900, 31.875880, 39.972796, 171.884904]]
### 6
fourier: [[64.278482, 76.214277, 77.326527, 89.901916, 286.276467], [25.276359, 26.633193, 30.192012, 34.580853, 78.503885], [56.960953, 65.736883, 66.580305, 77.127283, 246.825181], [71.284995, 82.981659, 83.531288, 98.265048, 328.955272], [42.125021, 44.824777, 47.368228, 53.787126, 216.139641], [35.298652, 39.058611, 40.909118, 47.295032, 174.115095], [13.901003, 16.108725, 16.429542, 18.445672, 19.529600], [20.174028, 20.772639, 23.377524, 26.517531, 104.362915], [54.822001, 61.009909, 64.228885, 75.284732, 240.645519], [23.276565, 23.688915, 26.462360, 30.730343, 75.097707], [30.745098, 35.680171, 35.956782, 40.720038, 165.443003]]
### 8
fourier: [[86.442885, 99.884367, 100.739248, 119.995124, 351.900267], [46.349659, 52.944521, 53.629935, 62.782772, 246.177792], [90.914783, 103.298213, 105.523857, 124.805947, 380.379812], [33.762235, 39.305967, 39.560366, 47.587952, 121.873764], [53.776098, 62.072892, 62.224076, 72.111301, 252.728728], [79.861231, 89.943377, 92.571826, 108.886402, 332.461644], [87.381401, 99.205025, 101.235043, 119.407563, 354.524122], [30.677118, 34.358271, 35.262271, 40.689670, 151.680880], [31.322160, 36.138535, 36.251149, 40.801426, 174.755977], [38.595481, 43.491777, 44.398759, 50.843851, 189.147399], [61.664665, 69.176699, 71.032098, 82.002690, 295.011676]]
### 10
fourier: [[99.193438, 111.232830, 112.800469, 132.392328, 409.194759], [53.742417, 60.558694, 61.092157, 71.883896, 288.941453], [15.176701, 17.191155, 17.205255, 20.235180, 75.463816], [133.779309, 150.434498, 151.993766, 178.529830, 577.193544], [18.663899, 20.986601, 21.161811, 24.789282, 83.866538], [6.582016, 7.465072, 7.533928, 8.821981, 43.053438], [122.618064, 137.213069, 139.225979, 163.016830, 537.356308], [32.754462, 36.365663, 37.253540, 43.473786, 172.641409], [24.589509, 27.442254, 27.910688, 32.683777, 120.106216], [99.918244, 111.671963, 113.525726, 132.891720, 416.076139], [25.500441, 28.206808, 28.976405, 33.788804, 127.095405]]
### 12
fourier: [[7.694223, 8.501045, 8.647185, 9.969662, 58.452542], [58.831270, 66.001047, 66.682503, 78.136914, 290.113023], [85.786499, 96.163811, 97.139511, 113.671567, 350.091632], [64.093747, 71.769823, 72.559918, 84.842933, 286.867114], [47.601338, 53.474504, 54.000018, 63.371987, 242.864983], [84.974902, 95.012421, 96.186325, 112.367509, 341.056353], [31.510323, 35.141383, 35.629644, 41.524434, 147.642502], [3.632384, 3.925386, 4.067148, 4.616777, 29.864644], [104.442039, 117.097506, 118.318523, 138.528891, 421.269091], [69.492447, 77.787621, 78.721550, 92.085778, 313.253912], [73.507815, 82.282032, 83.189229, 97.221987, 310.017551]]
### 14
fourier: [[87.532870, 97.758049, 98.709972, 114.818136, 308.934367]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7030588984489441, "train_acc": 0.435, "val_loss": 0.6929861307144165, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6945608556270599, "train_acc": 0.565, "val_loss": 0.6928967237472534, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.685275137424469, "train_acc": 0.565, "val_loss": 0.6925123333930969, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6761797964572906, "train_acc": 0.565, "val_loss": 0.6678525805473328, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6381335854530334, "train_acc": 0.565, "val_loss": 0.5977528095245361, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.587536484003067, "train_acc": 0.495, "val_loss": 0.5525164604187012, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5379704087972641, "train_acc": 0.635, "val_loss": 0.4798344075679779, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.47944173216819763, "train_acc": 0.865, "val_loss": 0.4496524930000305, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.44699767231941223, "train_acc": 0.855, "val_loss": 0.4337465763092041, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.4240702837705612, "train_acc": 0.88, "val_loss": 0.40651389956474304, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.40609242022037506, "train_acc": 0.865, "val_loss": 0.3854759633541107, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3852803409099579, "train_acc": 0.875, "val_loss": 0.3581656217575073, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.36298592388629913, "train_acc": 0.885, "val_loss": 0.349676251411438, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.36893971264362335, "train_acc": 0.875, "val_loss": 0.3180652856826782, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.3552212417125702, "train_acc": 0.885, "val_loss": 0.3127277195453644, "val_acc": 0.88}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6929861307144165, "final_val_loss": 0.5977528095245361, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5525164604187012, "final_val_loss": 0.3127277195453644, "initial_val_acc": 0.52, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 13}, "improvement": 0.38, "first_improvement_epoch": 4}}
|
65
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.72, "improved_accuracy": 0.96, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2699, "learning_rate": 0.011579952821622344, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[30.828715, 31.137666, 33.736229, 37.648443, 223.690914], [17.281582, 18.049685, 21.652520, 23.460735, 71.611017], [23.444338, 24.177091, 30.068479, 33.448301, 169.072296], [21.110608, 23.075710, 25.432325, 27.585978, 34.186170], [15.410297, 16.015546, 16.196898, 18.354524, 21.196758], [24.624204, 24.839773, 24.877225, 28.399101, 164.486320], [23.426307, 24.128023, 26.155736, 32.333774, 136.425457], [24.097743, 27.938109, 28.680319, 31.917071, 194.403408], [17.833509, 18.646117, 18.920960, 20.161167, 70.960777], [15.732537, 16.142437, 18.339796, 18.678032, 18.922841], [34.956381, 34.965745, 35.290898, 37.908718, 169.006343]]
### 2
fourier: [[25.656398, 26.681532, 29.642672, 32.529709, 162.972542], [11.870252, 12.137727, 13.180490, 14.567004, 77.075842], [8.607122, 8.806698, 9.041194, 9.659194, 64.998223], [19.481752, 20.567184, 22.644831, 22.720125, 98.028037], [13.948277, 14.064598, 15.338316, 16.430905, 17.606177], [6.792814, 6.996958, 7.165753, 8.725768, 88.208580], [17.639508, 17.811362, 19.296278, 20.475258, 129.613788], [9.045560, 9.357228, 10.949421, 11.403618, 66.947937], [20.539258, 21.125137, 21.168143, 23.824148, 69.110305], [8.888508, 9.163542, 9.494950, 11.354195, 49.534118], [13.199540, 13.570505, 13.631739, 13.836186, 146.237182]]
### 4
fourier: [[11.305703, 11.322750, 12.764975, 13.645393, 23.249880], [11.101953, 12.008663, 12.303665, 12.779608, 78.221108], [17.031031, 17.417175, 20.346299, 20.751506, 74.188461], [11.254367, 11.862419, 12.071820, 12.319776, 56.030801], [14.266852, 15.560591, 15.600981, 15.918756, 135.752167], [11.765651, 13.659707, 13.961269, 14.474525, 21.728170], [22.251442, 23.981047, 24.519864, 26.636688, 28.753351], [25.399711, 27.116925, 28.033530, 31.387799, 32.797565], [15.320509, 16.797005, 17.090421, 18.943031, 58.473193], [13.442153, 13.683634, 14.216098, 14.419008, 18.315545], [6.627176, 7.732677, 8.243909, 8.519511, 10.067543]]
### 6
fourier: [[10.754607, 11.084710, 12.183966, 12.824584, 23.865799], [19.638702, 20.110248, 21.310555, 22.634963, 85.838048], [16.725078, 17.264728, 18.701101, 20.033841, 42.886887], [20.494302, 23.023425, 23.383931, 25.348487, 38.852070], [19.451318, 20.874032, 20.915925, 21.345978, 37.573577], [20.813469, 22.074456, 23.280037, 24.297010, 56.580361], [22.163624, 26.242953, 27.049918, 29.398192, 119.839952], [19.487806, 21.786037, 23.391751, 24.957560, 25.378467], [28.988912, 32.402916, 33.910201, 35.794722, 113.870959], [18.163995, 19.923755, 21.533075, 21.628889, 39.501485], [27.649486, 30.166846, 30.691963, 32.031046, 34.890134]]
### 8
fourier: [[25.637649, 28.792602, 30.381076, 31.592545, 34.977515], [32.182960, 35.109306, 37.470199, 38.344331, 72.825062], [17.722268, 18.861680, 20.095286, 20.845205, 37.147427], [39.217688, 43.136183, 44.517217, 48.397871, 170.609212], [31.838278, 32.641831, 38.081152, 40.335810, 40.586307], [39.958971, 43.884932, 45.569715, 49.079121, 147.810799], [35.090978, 38.146002, 40.493537, 42.330657, 108.990661], [18.851544, 20.708413, 21.415536, 23.183754, 60.347327], [36.505843, 39.093268, 41.948424, 43.136568, 93.299979], [19.719855, 21.387710, 24.097459, 25.731299, 26.018077], [17.459829, 18.712499, 19.893951, 20.921864, 55.060584]]
### 10
fourier: [[29.857012, 32.973882, 34.034173, 37.505586, 120.841879], [49.938345, 56.238951, 59.293959, 62.627165, 130.461046], [35.212758, 40.462243, 42.260253, 44.773605, 116.036948], [28.615052, 32.124314, 34.099902, 35.425574, 94.971294], [50.317297, 57.549574, 60.560588, 63.205189, 124.303514], [40.620282, 45.692007, 48.182820, 50.669406, 100.025528], [50.996995, 52.639482, 56.644973, 57.972011, 60.944147], [33.521791, 38.277922, 40.769504, 41.709546, 65.308995], [42.973156, 48.558234, 51.130325, 53.794832, 135.836990], [23.919904, 27.378622, 29.209012, 29.450965, 38.962117], [17.901043, 20.255507, 21.412964, 22.153610, 24.963567]]
### 12
fourier: [[30.266027, 33.834171, 35.241979, 41.047628, 191.965485], [54.343626, 62.085664, 64.829473, 68.787950, 193.823817], [56.984066, 65.286532, 67.532266, 73.561029, 223.356398], [46.562059, 53.694623, 53.924630, 61.843480, 238.773981], [47.127812, 53.934960, 54.858192, 60.900642, 182.088590], [54.311697, 62.880244, 63.104319, 72.618498, 286.630423], [25.061779, 28.515756, 28.678368, 33.122309, 157.819121], [23.217649, 26.609224, 27.092627, 30.024320, 107.445216], [24.959997, 28.260889, 28.801742, 31.653812, 117.196342], [18.684642, 21.286232, 21.330182, 24.270682, 98.042321], [41.452136, 47.727088, 48.002597, 54.043065, 190.774948]]
### 14
fourier: [[72.895265, 84.035332, 85.142796, 99.325055, 430.526914]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[30.828715, 31.137666, 33.736229, 37.648443, 223.690914], [17.281582, 18.049685, 21.652520, 23.460735, 71.611017], [23.444338, 24.177091, 30.068479, 33.448301, 169.072296], [21.110608, 23.075710, 25.432325, 27.585978, 34.186170], [15.410297, 16.015546, 16.196898, 18.354524, 21.196758], [24.624204, 24.839773, 24.877225, 28.399101, 164.486320], [23.426307, 24.128023, 26.155736, 32.333774, 136.425457], [24.097743, 27.938109, 28.680319, 31.917071, 194.403408], [17.833509, 18.646117, 18.920960, 20.161167, 70.960777], [15.732537, 16.142437, 18.339796, 18.678032, 18.922841], [34.956381, 34.965745, 35.290898, 37.908718, 169.006343]]
### 2
fourier: [[25.656398, 26.681532, 29.642672, 32.529709, 162.972542], [11.870252, 12.137727, 13.180490, 14.567004, 77.075842], [8.607122, 8.806698, 9.041194, 9.659194, 64.998223], [19.481752, 20.567184, 22.644831, 22.720125, 98.028037], [13.948277, 14.064598, 15.338316, 16.430905, 17.606177], [6.792814, 6.996958, 7.165753, 8.725768, 88.208580], [17.639508, 17.811362, 19.296278, 20.475258, 129.613788], [9.045560, 9.357228, 10.949421, 11.403618, 66.947937], [20.539258, 21.125137, 21.168143, 23.824148, 69.110305], [8.888508, 9.163542, 9.494950, 11.354195, 49.534118], [13.199540, 13.570505, 13.631739, 13.836186, 146.237182]]
### 4
fourier: [[11.305703, 11.322750, 12.764975, 13.645393, 23.249880], [11.101953, 12.008663, 12.303665, 12.779608, 78.221108], [17.031031, 17.417175, 20.346299, 20.751506, 74.188461], [11.254367, 11.862419, 12.071820, 12.319776, 56.030801], [14.266852, 15.560591, 15.600981, 15.918756, 135.752167], [11.765651, 13.659707, 13.961269, 14.474525, 21.728170], [22.251442, 23.981047, 24.519864, 26.636688, 28.753351], [25.399711, 27.116925, 28.033530, 31.387799, 32.797565], [15.320509, 16.797005, 17.090421, 18.943031, 58.473193], [13.442153, 13.683634, 14.216098, 14.419008, 18.315545], [6.627176, 7.732677, 8.243909, 8.519511, 10.067543]]
### 6
fourier: [[10.754607, 11.084710, 12.183966, 12.824584, 23.865799], [19.638702, 20.110248, 21.310555, 22.634963, 85.838048], [16.725078, 17.264728, 18.701101, 20.033841, 42.886887], [20.494302, 23.023425, 23.383931, 25.348487, 38.852070], [19.451318, 20.874032, 20.915925, 21.345978, 37.573577], [20.813469, 22.074456, 23.280037, 24.297010, 56.580361], [22.163624, 26.242953, 27.049918, 29.398192, 119.839952], [19.487806, 21.786037, 23.391751, 24.957560, 25.378467], [28.988912, 32.402916, 33.910201, 35.794722, 113.870959], [18.163995, 19.923755, 21.533075, 21.628889, 39.501485], [27.649486, 30.166846, 30.691963, 32.031046, 34.890134]]
### 8
fourier: [[25.637649, 28.792602, 30.381076, 31.592545, 34.977515], [32.182960, 35.109306, 37.470199, 38.344331, 72.825062], [17.722268, 18.861680, 20.095286, 20.845205, 37.147427], [39.217688, 43.136183, 44.517217, 48.397871, 170.609212], [31.838278, 32.641831, 38.081152, 40.335810, 40.586307], [39.958971, 43.884932, 45.569715, 49.079121, 147.810799], [35.090978, 38.146002, 40.493537, 42.330657, 108.990661], [18.851544, 20.708413, 21.415536, 23.183754, 60.347327], [36.505843, 39.093268, 41.948424, 43.136568, 93.299979], [19.719855, 21.387710, 24.097459, 25.731299, 26.018077], [17.459829, 18.712499, 19.893951, 20.921864, 55.060584]]
### 10
fourier: [[29.857012, 32.973882, 34.034173, 37.505586, 120.841879], [49.938345, 56.238951, 59.293959, 62.627165, 130.461046], [35.212758, 40.462243, 42.260253, 44.773605, 116.036948], [28.615052, 32.124314, 34.099902, 35.425574, 94.971294], [50.317297, 57.549574, 60.560588, 63.205189, 124.303514], [40.620282, 45.692007, 48.182820, 50.669406, 100.025528], [50.996995, 52.639482, 56.644973, 57.972011, 60.944147], [33.521791, 38.277922, 40.769504, 41.709546, 65.308995], [42.973156, 48.558234, 51.130325, 53.794832, 135.836990], [23.919904, 27.378622, 29.209012, 29.450965, 38.962117], [17.901043, 20.255507, 21.412964, 22.153610, 24.963567]]
### 12
fourier: [[30.266027, 33.834171, 35.241979, 41.047628, 191.965485], [54.343626, 62.085664, 64.829473, 68.787950, 193.823817], [56.984066, 65.286532, 67.532266, 73.561029, 223.356398], [46.562059, 53.694623, 53.924630, 61.843480, 238.773981], [47.127812, 53.934960, 54.858192, 60.900642, 182.088590], [54.311697, 62.880244, 63.104319, 72.618498, 286.630423], [25.061779, 28.515756, 28.678368, 33.122309, 157.819121], [23.217649, 26.609224, 27.092627, 30.024320, 107.445216], [24.959997, 28.260889, 28.801742, 31.653812, 117.196342], [18.684642, 21.286232, 21.330182, 24.270682, 98.042321], [41.452136, 47.727088, 48.002597, 54.043065, 190.774948]]
### 14
fourier: [[72.895265, 84.035332, 85.142796, 99.325055, 430.526914]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7108915448188782, "train_acc": 0.445, "val_loss": 0.6927152872085571, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7018218636512756, "train_acc": 0.445, "val_loss": 0.6914418935775757, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6948095560073853, "train_acc": 0.445, "val_loss": 0.6895179748535156, "val_acc": 0.6}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6863615214824677, "train_acc": 0.615, "val_loss": 0.6802682280540466, "val_acc": 0.48}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6694445013999939, "train_acc": 0.56, "val_loss": 0.6429633498191833, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6123021841049194, "train_acc": 0.795, "val_loss": 0.5166955590248108, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.4520929902791977, "train_acc": 0.915, "val_loss": 0.37592166662216187, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.3966817259788513, "train_acc": 0.925, "val_loss": 0.2908477783203125, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.2731573134660721, "train_acc": 0.94, "val_loss": 0.25705739855766296, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.22878766059875488, "train_acc": 0.935, "val_loss": 0.23831389844417572, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.22918963432312012, "train_acc": 0.945, "val_loss": 0.21055229008197784, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.20615478605031967, "train_acc": 0.95, "val_loss": 0.19202151894569397, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.198068305850029, "train_acc": 0.95, "val_loss": 0.1925848424434662, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.19621306657791138, "train_acc": 0.945, "val_loss": 0.1863783448934555, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.18008658289909363, "train_acc": 0.95, "val_loss": 0.18770375847816467, "val_acc": 0.94}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6927152872085571, "final_val_loss": 0.6429633498191833, "initial_val_acc": 0.52, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.5166955590248108, "final_val_loss": 0.18770375847816467, "initial_val_acc": 0.9, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 11}, "improvement": 0.24, "first_improvement_epoch": 4}}
|
66
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7369, "learning_rate": 0.09905327768550999, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[40.259225, 43.647786, 49.365560, 49.915510, 383.173154], [19.127261, 19.359080, 19.400090, 22.256845, 24.300350], [31.876337, 32.018744, 37.730390, 39.078556, 181.855000], [35.285507, 36.926749, 37.078541, 38.194985, 48.060325], [28.454662, 28.889215, 29.923859, 32.819726, 134.416099], [31.597026, 34.745865, 35.750272, 38.055404, 298.297805], [21.362071, 22.752709, 25.889057, 26.904188, 71.754937], [35.869558, 36.256293, 38.722222, 44.906058, 308.066020], [21.762627, 22.159190, 28.069445, 35.356364, 47.583713], [32.851392, 33.205705, 33.461746, 34.841474, 121.672976], [25.159878, 25.545270, 25.769204, 27.966109, 88.013978]]
### 2
fourier: [[10.122336, 10.737764, 10.818883, 12.278691, 126.641890], [12.182231, 13.505302, 16.215436, 16.243240, 177.250559], [11.568961, 12.985925, 15.564260, 19.098470, 46.905934], [19.654689, 19.901540, 20.235420, 20.720710, 223.563388], [39.493628, 40.825887, 42.142118, 45.084495, 151.360988], [5.019641, 5.298378, 5.477049, 6.449724, 65.658151], [18.836343, 19.438533, 21.502522, 22.239791, 58.994644], [34.644324, 37.603313, 40.392005, 40.403562, 229.555243], [9.052269, 11.552742, 11.743235, 14.074283, 111.552756], [10.886424, 11.822156, 12.225682, 14.563325, 151.433104], [41.636262, 45.957203, 46.912318, 50.471528, 169.754075]]
### 4
fourier: [[6.066111, 7.219676, 7.517286, 8.573164, 51.256600], [18.309476, 18.698424, 22.298632, 24.790007, 35.748401], [13.517042, 13.835219, 14.820571, 16.115313, 109.068657], [10.874114, 11.144867, 11.957645, 15.117214, 66.667063], [2.246444, 2.804407, 3.641241, 3.753347, 33.916086], [41.898634, 42.532751, 46.201624, 46.520108, 242.868800], [5.358852, 5.743192, 6.242263, 6.528984, 38.872796], [7.487269, 7.622484, 8.260409, 8.511514, 75.757616], [8.584774, 8.744615, 8.915279, 9.696179, 89.833300], [18.159239, 19.404866, 20.166163, 21.296115, 115.693590], [30.544026, 33.558050, 35.235176, 35.288347, 217.794269]]
### 6
fourier: [[17.615356, 18.364550, 18.533704, 18.980641, 181.730908], [16.990982, 17.223855, 18.287096, 18.786110, 176.986986], [12.771128, 13.881470, 14.384619, 15.102455, 115.562884], [6.762287, 6.903095, 9.297582, 9.852063, 65.436004], [6.837393, 6.883480, 7.399233, 10.566389, 28.923264], [14.211816, 14.430012, 15.177657, 18.866170, 105.288935], [5.149663, 5.335078, 5.727890, 5.833327, 44.181004], [13.680918, 15.202158, 15.848035, 16.821349, 151.507881], [27.080565, 29.880210, 30.490668, 33.443331, 220.902675], [20.697686, 20.916121, 21.056344, 26.138452, 159.229569], [8.429543, 9.389484, 9.484409, 11.649957, 14.460095]]
### 8
fourier: [[7.723952, 7.818778, 7.927616, 8.111339, 81.046595], [3.173150, 3.427770, 3.535472, 3.839146, 44.249838], [7.790333, 8.112372, 8.950177, 11.628068, 50.164639], [21.964639, 22.845171, 23.634524, 28.835760, 191.989222], [7.701187, 8.674053, 8.989788, 9.733146, 94.365610], [4.446423, 5.312618, 5.325883, 5.512726, 7.086676], [3.027637, 3.046342, 3.097694, 3.106639, 59.618918], [4.398797, 4.596800, 4.915891, 5.069482, 70.569670], [9.772518, 10.792669, 10.804613, 11.116916, 90.871574], [17.262298, 19.299702, 20.001091, 20.588714, 190.396439], [11.869598, 13.134149, 13.372295, 13.651703, 110.027664]]
### 10
fourier: [[2.260484, 2.260712, 2.328234, 3.014091, 30.643973], [0.771266, 0.773470, 0.781262, 0.817084, 24.952688], [5.120050, 5.147089, 5.431519, 6.705466, 58.182410], [1.295833, 1.350140, 1.670077, 1.965408, 2.960165], [1.530861, 1.661443, 2.196774, 2.245905, 38.031091], [2.884688, 3.113520, 3.658016, 4.735467, 49.306926], [1.974800, 2.330457, 2.762690, 2.952621, 21.686374], [1.303361, 1.352545, 1.776130, 1.904296, 4.050613], [0.520361, 0.525016, 0.578171, 0.685799, 21.644294], [2.551016, 2.794549, 3.250395, 4.284814, 39.318105], [1.653321, 1.810779, 2.101352, 2.736896, 54.609701]]
### 12
fourier: [[3.425690, 3.522446, 3.886841, 5.420412, 56.969701]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[40.259225, 43.647786, 49.365560, 49.915510, 383.173154], [19.127261, 19.359080, 19.400090, 22.256845, 24.300350], [31.876337, 32.018744, 37.730390, 39.078556, 181.855000], [35.285507, 36.926749, 37.078541, 38.194985, 48.060325], [28.454662, 28.889215, 29.923859, 32.819726, 134.416099], [31.597026, 34.745865, 35.750272, 38.055404, 298.297805], [21.362071, 22.752709, 25.889057, 26.904188, 71.754937], [35.869558, 36.256293, 38.722222, 44.906058, 308.066020], [21.762627, 22.159190, 28.069445, 35.356364, 47.583713], [32.851392, 33.205705, 33.461746, 34.841474, 121.672976], [25.159878, 25.545270, 25.769204, 27.966109, 88.013978]]
### 2
fourier: [[10.122336, 10.737764, 10.818883, 12.278691, 126.641890], [12.182231, 13.505302, 16.215436, 16.243240, 177.250559], [11.568961, 12.985925, 15.564260, 19.098470, 46.905934], [19.654689, 19.901540, 20.235420, 20.720710, 223.563388], [39.493628, 40.825887, 42.142118, 45.084495, 151.360988], [5.019641, 5.298378, 5.477049, 6.449724, 65.658151], [18.836343, 19.438533, 21.502522, 22.239791, 58.994644], [34.644324, 37.603313, 40.392005, 40.403562, 229.555243], [9.052269, 11.552742, 11.743235, 14.074283, 111.552756], [10.886424, 11.822156, 12.225682, 14.563325, 151.433104], [41.636262, 45.957203, 46.912318, 50.471528, 169.754075]]
### 4
fourier: [[6.066111, 7.219676, 7.517286, 8.573164, 51.256600], [18.309476, 18.698424, 22.298632, 24.790007, 35.748401], [13.517042, 13.835219, 14.820571, 16.115313, 109.068657], [10.874114, 11.144867, 11.957645, 15.117214, 66.667063], [2.246444, 2.804407, 3.641241, 3.753347, 33.916086], [41.898634, 42.532751, 46.201624, 46.520108, 242.868800], [5.358852, 5.743192, 6.242263, 6.528984, 38.872796], [7.487269, 7.622484, 8.260409, 8.511514, 75.757616], [8.584774, 8.744615, 8.915279, 9.696179, 89.833300], [18.159239, 19.404866, 20.166163, 21.296115, 115.693590], [30.544026, 33.558050, 35.235176, 35.288347, 217.794269]]
### 6
fourier: [[17.615356, 18.364550, 18.533704, 18.980641, 181.730908], [16.990982, 17.223855, 18.287096, 18.786110, 176.986986], [12.771128, 13.881470, 14.384619, 15.102455, 115.562884], [6.762287, 6.903095, 9.297582, 9.852063, 65.436004], [6.837393, 6.883480, 7.399233, 10.566389, 28.923264], [14.211816, 14.430012, 15.177657, 18.866170, 105.288935], [5.149663, 5.335078, 5.727890, 5.833327, 44.181004], [13.680918, 15.202158, 15.848035, 16.821349, 151.507881], [27.080565, 29.880210, 30.490668, 33.443331, 220.902675], [20.697686, 20.916121, 21.056344, 26.138452, 159.229569], [8.429543, 9.389484, 9.484409, 11.649957, 14.460095]]
### 8
fourier: [[7.723952, 7.818778, 7.927616, 8.111339, 81.046595], [3.173150, 3.427770, 3.535472, 3.839146, 44.249838], [7.790333, 8.112372, 8.950177, 11.628068, 50.164639], [21.964639, 22.845171, 23.634524, 28.835760, 191.989222], [7.701187, 8.674053, 8.989788, 9.733146, 94.365610], [4.446423, 5.312618, 5.325883, 5.512726, 7.086676], [3.027637, 3.046342, 3.097694, 3.106639, 59.618918], [4.398797, 4.596800, 4.915891, 5.069482, 70.569670], [9.772518, 10.792669, 10.804613, 11.116916, 90.871574], [17.262298, 19.299702, 20.001091, 20.588714, 190.396439], [11.869598, 13.134149, 13.372295, 13.651703, 110.027664]]
### 10
fourier: [[2.260484, 2.260712, 2.328234, 3.014091, 30.643973], [0.771266, 0.773470, 0.781262, 0.817084, 24.952688], [5.120050, 5.147089, 5.431519, 6.705466, 58.182410], [1.295833, 1.350140, 1.670077, 1.965408, 2.960165], [1.530861, 1.661443, 2.196774, 2.245905, 38.031091], [2.884688, 3.113520, 3.658016, 4.735467, 49.306926], [1.974800, 2.330457, 2.762690, 2.952621, 21.686374], [1.303361, 1.352545, 1.776130, 1.904296, 4.050613], [0.520361, 0.525016, 0.578171, 0.685799, 21.644294], [2.551016, 2.794549, 3.250395, 4.284814, 39.318105], [1.653321, 1.810779, 2.101352, 2.736896, 54.609701]]
### 12
fourier: [[3.425690, 3.522446, 3.886841, 5.420412, 56.969701]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6801311373710632, "train_acc": 0.555, "val_loss": 0.6896896958351135, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7726109027862549, "train_acc": 0.485, "val_loss": 0.6709893941879272, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.657210648059845, "train_acc": 0.555, "val_loss": 0.5997767448425293, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.7678490281105042, "train_acc": 0.57, "val_loss": 1.9146809577941895, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 1.3659344911575317, "train_acc": 0.5, "val_loss": 0.5838825106620789, "val_acc": 0.54}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6024573743343353, "train_acc": 0.595, "val_loss": 0.5717288851737976, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5957125425338745, "train_acc": 0.82, "val_loss": 0.5671716928482056, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.567649245262146, "train_acc": 0.825, "val_loss": 0.4827559292316437, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4623391181230545, "train_acc": 0.815, "val_loss": 0.38912704586982727, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4069453328847885, "train_acc": 0.81, "val_loss": 0.33141255378723145, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.40181803703308105, "train_acc": 0.825, "val_loss": 0.31782862544059753, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.40886302292346954, "train_acc": 0.85, "val_loss": 0.3225537836551666, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.40073151886463165, "train_acc": 0.815, "val_loss": 0.36897990107536316, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6896896958351135, "final_val_loss": 0.5997767448425293, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 1.9146809577941895, "final_val_loss": 0.36897990107536316, "initial_val_acc": 0.5, "final_val_acc": 0.86, "best_val_acc": 0.92, "best_epoch": 5}, "improvement": 0.42000000000000004, "first_improvement_epoch": 2}}
|
67
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.56, "improved_accuracy": 0.94, "improvement": 0.3799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2865, "learning_rate": 0.05576129768179258, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[25.031784, 26.709928, 28.235033, 35.507383, 133.552845], [26.796454, 27.652720, 30.356779, 31.198474, 153.230571], [10.386932, 10.932074, 10.984280, 11.414413, 110.752924], [19.794629, 20.562330, 26.660983, 26.983600, 61.070164], [34.622208, 36.880797, 38.825449, 39.447927, 193.297439], [24.145182, 24.307340, 25.260632, 25.668998, 90.448182], [34.656551, 35.376694, 36.567169, 37.188502, 240.126083], [30.635212, 30.818712, 33.436384, 37.736408, 253.171309]]
### 2
fourier: [[26.200819, 27.153213, 29.488976, 31.155394, 77.980297], [9.974377, 11.441266, 12.358858, 12.828433, 88.097887], [18.376744, 19.452663, 19.502415, 22.828629, 75.439700], [42.922699, 43.141051, 43.398748, 47.478986, 204.854402], [17.505714, 18.697047, 19.861362, 20.873008, 145.390391], [12.465001, 12.504709, 13.212440, 15.574027, 64.324421], [21.033543, 21.176915, 22.575432, 24.553725, 131.340166], [10.000209, 10.182617, 11.158110, 12.188878, 91.381794]]
### 4
fourier: [[26.003623, 30.552941, 32.054013, 34.111705, 35.257300], [12.727294, 13.562465, 14.763913, 15.508569, 88.114387], [40.939985, 41.491170, 42.401074, 42.465826, 46.787932], [13.005715, 13.389657, 13.627739, 14.621286, 17.279989], [8.169420, 8.988212, 9.126832, 10.224774, 49.416943], [26.111455, 26.240793, 29.288133, 31.126074, 236.738366], [30.636266, 33.777831, 35.816062, 36.652420, 39.209649], [38.526954, 45.126067, 45.765144, 47.322062, 49.859796]]
### 6
fourier: [[63.749269, 66.765307, 67.115228, 67.381546, 94.907103], [34.064476, 34.445088, 34.989438, 36.012072, 136.973373], [51.269207, 55.098069, 55.380374, 55.661416, 62.456360], [9.832660, 10.434787, 10.600767, 11.577865, 123.221925], [22.437956, 22.553153, 23.127732, 23.473415, 44.592597], [33.568498, 35.386319, 36.047600, 36.662929, 36.697586], [9.115158, 9.234062, 9.638295, 10.165045, 92.391750], [53.240521, 53.558327, 59.747872, 60.945541, 62.317232]]
### 8
fourier: [[66.617518, 69.570495, 69.577786, 69.653792, 93.124355], [24.339346, 26.979359, 27.398532, 27.999662, 61.701718], [5.547013, 5.839624, 5.938534, 6.025815, 12.151582], [11.291556, 11.322131, 11.432822, 11.883907, 59.808607], [22.679688, 25.108423, 25.243417, 25.494663, 69.748517], [11.116036, 11.628259, 11.961475, 13.512039, 84.527720], [46.893897, 47.433822, 48.077726, 48.288010, 94.319457], [36.291311, 37.154664, 40.744242, 41.050912, 41.583932]]
### 10
fourier: [[34.252275, 35.356027, 38.665975, 39.276024, 40.091973], [12.942572, 13.633349, 14.107218, 15.936967, 85.153136], [38.485771, 39.940139, 42.771170, 42.931992, 43.087266], [43.187662, 45.323917, 45.836559, 45.902085, 62.866868], [24.738242, 25.819371, 25.932478, 26.219918, 28.519977], [28.526079, 30.349737, 31.958194, 32.733459, 32.966525], [16.099769, 18.767754, 18.997978, 20.531646, 62.955829], [5.237535, 6.046559, 6.814179, 7.190590, 76.174549]]
### 12
fourier: [[28.249421, 30.428323, 31.188991, 32.334795, 60.187454], [25.450918, 27.465351, 28.240446, 29.447825, 59.757055], [25.908333, 27.533090, 27.858657, 27.893418, 28.624232], [19.250249, 19.388856, 20.202463, 20.281041, 45.675244], [16.341043, 17.039204, 18.399715, 18.991518, 19.515568], [15.874773, 15.884962, 16.206616, 16.485804, 44.260847], [28.397839, 30.107968, 30.920752, 31.766222, 40.737963], [33.956693, 34.535090, 36.430358, 37.484376, 38.178035]]
### 14
fourier: [[25.358461, 27.575980, 28.486252, 30.627438, 81.991871]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
fourier: [[25.031784, 26.709928, 28.235033, 35.507383, 133.552845], [26.796454, 27.652720, 30.356779, 31.198474, 153.230571], [10.386932, 10.932074, 10.984280, 11.414413, 110.752924], [19.794629, 20.562330, 26.660983, 26.983600, 61.070164], [34.622208, 36.880797, 38.825449, 39.447927, 193.297439], [24.145182, 24.307340, 25.260632, 25.668998, 90.448182], [34.656551, 35.376694, 36.567169, 37.188502, 240.126083], [30.635212, 30.818712, 33.436384, 37.736408, 253.171309]]
### 2
fourier: [[26.200819, 27.153213, 29.488976, 31.155394, 77.980297], [9.974377, 11.441266, 12.358858, 12.828433, 88.097887], [18.376744, 19.452663, 19.502415, 22.828629, 75.439700], [42.922699, 43.141051, 43.398748, 47.478986, 204.854402], [17.505714, 18.697047, 19.861362, 20.873008, 145.390391], [12.465001, 12.504709, 13.212440, 15.574027, 64.324421], [21.033543, 21.176915, 22.575432, 24.553725, 131.340166], [10.000209, 10.182617, 11.158110, 12.188878, 91.381794]]
### 4
fourier: [[26.003623, 30.552941, 32.054013, 34.111705, 35.257300], [12.727294, 13.562465, 14.763913, 15.508569, 88.114387], [40.939985, 41.491170, 42.401074, 42.465826, 46.787932], [13.005715, 13.389657, 13.627739, 14.621286, 17.279989], [8.169420, 8.988212, 9.126832, 10.224774, 49.416943], [26.111455, 26.240793, 29.288133, 31.126074, 236.738366], [30.636266, 33.777831, 35.816062, 36.652420, 39.209649], [38.526954, 45.126067, 45.765144, 47.322062, 49.859796]]
### 6
fourier: [[63.749269, 66.765307, 67.115228, 67.381546, 94.907103], [34.064476, 34.445088, 34.989438, 36.012072, 136.973373], [51.269207, 55.098069, 55.380374, 55.661416, 62.456360], [9.832660, 10.434787, 10.600767, 11.577865, 123.221925], [22.437956, 22.553153, 23.127732, 23.473415, 44.592597], [33.568498, 35.386319, 36.047600, 36.662929, 36.697586], [9.115158, 9.234062, 9.638295, 10.165045, 92.391750], [53.240521, 53.558327, 59.747872, 60.945541, 62.317232]]
### 8
fourier: [[66.617518, 69.570495, 69.577786, 69.653792, 93.124355], [24.339346, 26.979359, 27.398532, 27.999662, 61.701718], [5.547013, 5.839624, 5.938534, 6.025815, 12.151582], [11.291556, 11.322131, 11.432822, 11.883907, 59.808607], [22.679688, 25.108423, 25.243417, 25.494663, 69.748517], [11.116036, 11.628259, 11.961475, 13.512039, 84.527720], [46.893897, 47.433822, 48.077726, 48.288010, 94.319457], [36.291311, 37.154664, 40.744242, 41.050912, 41.583932]]
### 10
fourier: [[34.252275, 35.356027, 38.665975, 39.276024, 40.091973], [12.942572, 13.633349, 14.107218, 15.936967, 85.153136], [38.485771, 39.940139, 42.771170, 42.931992, 43.087266], [43.187662, 45.323917, 45.836559, 45.902085, 62.866868], [24.738242, 25.819371, 25.932478, 26.219918, 28.519977], [28.526079, 30.349737, 31.958194, 32.733459, 32.966525], [16.099769, 18.767754, 18.997978, 20.531646, 62.955829], [5.237535, 6.046559, 6.814179, 7.190590, 76.174549]]
### 12
fourier: [[28.249421, 30.428323, 31.188991, 32.334795, 60.187454], [25.450918, 27.465351, 28.240446, 29.447825, 59.757055], [25.908333, 27.533090, 27.858657, 27.893418, 28.624232], [19.250249, 19.388856, 20.202463, 20.281041, 45.675244], [16.341043, 17.039204, 18.399715, 18.991518, 19.515568], [15.874773, 15.884962, 16.206616, 16.485804, 44.260847], [28.397839, 30.107968, 30.920752, 31.766222, 40.737963], [33.956693, 34.535090, 36.430358, 37.484376, 38.178035]]
### 14
fourier: [[25.358461, 27.575980, 28.486252, 30.627438, 81.991871]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.305702, 0.562004, 0.270386, -0.270506, 0.261509], [-0.508564, 0.057673, 0.324483, 0.400269, 0.553999], [0.100574, -0.224266, -0.106988, -0.114344, -0.150392], [0.418035, -0.603801, 0.05843, 0.049305, 0.238112], [0.73815, -0.089059, 0.474386, 0.178124, 0.041612], [-0.602288, 0.267366, 0.589341, 0.051589, -0.101205], [0.2069, -0.707832, -0.299588, -0.087847, -0.715907], [0.280549, 0.516137, 0.457468, 0.248384, -0.348161]], "network.0.bias": [-0.227853, 0.010921, -0.292911, -0.619977, -0.03279, 0.050416, 0.061424, 0.464521], "network.2.weight": [[0.377614, -0.106445, -0.576389, 0.089493, 0.378997, -0.488631, 0.096307, 0.07633], [-0.350594, -0.017107, 0.008955, -0.165994, -0.074433, 0.172113, -0.213239, 0.327067], [0.313242, -0.198616, 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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6881853640079498, "train_acc": 0.515, "val_loss": 0.6867542266845703, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6827927827835083, "train_acc": 0.565, "val_loss": 0.6407238245010376, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.545043483376503, "train_acc": 0.69, "val_loss": 0.22585970163345337, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.35035304725170135, "train_acc": 0.925, "val_loss": 0.5754437446594238, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4278760328888893, "train_acc": 0.87, "val_loss": 0.22301369905471802, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.32664819061756134, "train_acc": 0.84, "val_loss": 0.6160681843757629, "val_acc": 0.5}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5532967448234558, "train_acc": 0.63, "val_loss": 0.5894169807434082, "val_acc": 0.64}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5344978272914886, "train_acc": 0.69, "val_loss": 0.4845913350582123, "val_acc": 0.7}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6867542266845703, "final_val_loss": 0.6407238245010376, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.22585970163345337, "final_val_loss": 0.4845913350582123, "initial_val_acc": 0.94, "final_val_acc": 0.7, "best_val_acc": 0.94, "best_epoch": 2}, "improvement": 0.3799999999999999, "first_improvement_epoch": 1}}
|
68
|
{"target_pattern": "alternating", "degraded_accuracy": 0.62, "improved_accuracy": 0.9, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5223, "learning_rate": 0.022476162210298602, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.0.bias": [
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"network.2.weight": [
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## Activation Signature
### 0
fourier: [[16.844118, 18.980700, 20.390957, 21.325276, 92.952281], [25.165988, 25.919320, 26.449102, 29.246800, 198.202125], [23.014044, 23.064245, 28.973904, 30.862071, 159.909140], [32.062104, 35.121051, 42.855072, 44.323405, 203.855238], [21.223761, 21.652754, 22.428141, 25.856274, 34.703025], [19.386000, 20.876895, 21.694276, 22.029579, 23.595256], [35.559763, 35.763316, 36.121064, 49.341251, 137.268555], [27.225511, 28.432260, 29.947662, 33.098430, 219.234063], [35.795524, 40.817349, 44.701322, 46.235934, 222.189891], [15.229218, 15.476056, 16.087812, 17.028783, 24.862786], [21.076509, 22.770510, 23.756034, 24.106711, 104.459654], [19.494507, 20.016392, 20.507685, 25.414992, 34.298036]]
### 2
fourier: [[8.394450, 8.820528, 9.299624, 9.510374, 69.176250], [15.185833, 15.564732, 16.576307, 20.824130, 21.469805], [20.414962, 22.195389, 25.352976, 27.099137, 188.648658], [28.353983, 30.075816, 30.508160, 31.222174, 36.454144], [13.351856, 13.970233, 15.759168, 16.034545, 97.822936], [26.041087, 28.209440, 28.887716, 30.359927, 102.036367], [37.569007, 40.059787, 43.705447, 50.258185, 344.293314], [14.362508, 16.478103, 16.561282, 17.272819, 62.091881], [21.643351, 21.673567, 26.041715, 26.294661, 63.958451], [10.987372, 11.326520, 11.811872, 14.016941, 106.289036], [24.776853, 26.215156, 28.547994, 30.046714, 180.946065], [8.371701, 8.542716, 9.181539, 9.439883, 75.496666]]
### 4
fourier: [[9.909173, 10.289845, 11.208918, 11.518308, 91.485683], [9.354459, 9.482194, 10.763647, 12.912765, 16.728556], [8.342381, 8.706230, 9.261730, 9.407839, 54.608550], [13.702259, 13.812071, 13.841804, 14.601444, 40.737913], [7.168322, 7.349874, 7.434860, 8.093534, 67.873950], [26.837431, 28.911981, 29.336684, 32.732247, 222.080654], [11.994445, 12.349390, 14.879130, 16.071760, 33.340719], [12.063920, 12.460941, 12.666583, 12.855758, 14.427356], [20.909461, 21.386587, 23.114377, 23.351112, 196.790440], [12.320423, 12.425988, 12.445808, 12.730643, 82.000160], [12.398767, 13.772330, 14.268552, 15.901759, 68.672631], [15.573887, 15.815564, 16.875990, 17.629461, 45.623566]]
### 6
fourier: [[21.993202, 23.784742, 23.988894, 27.722650, 208.506873], [11.342640, 11.640589, 11.956470, 13.643706, 13.689068], [17.592605, 18.831815, 21.643304, 21.785278, 38.025905], [8.412466, 9.047345, 9.208205, 9.504845, 112.172184], [14.074170, 14.222967, 14.703038, 19.204029, 20.133351], [7.286721, 7.458660, 7.932423, 7.971404, 64.933333], [6.993160, 7.576592, 7.607849, 8.043396, 37.470269], [18.961344, 20.274665, 20.837842, 23.835867, 185.648995], [21.945519, 22.109419, 25.210180, 27.397972, 194.336007], [2.591427, 2.851313, 2.855376, 3.019431, 15.959902], [6.506125, 6.561474, 6.908505, 7.109375, 66.813929], [13.818358, 15.436196, 17.859865, 17.974972, 28.468275]]
### 8
fourier: [[5.682516, 5.838571, 5.903654, 6.105759, 50.492541], [23.671746, 24.545655, 31.903042, 33.210895, 52.523532], [22.664950, 23.517456, 27.167600, 28.273951, 66.435693], [23.727669, 25.345688, 26.182395, 28.168691, 244.598484], [5.981471, 6.195758, 6.496951, 7.053473, 59.521583], [27.261123, 27.646224, 28.119580, 34.128500, 264.247860], [9.141240, 9.816519, 9.851128, 10.051748, 54.264734], [29.490790, 29.773438, 30.428373, 31.456027, 139.435277], [22.291170, 22.648093, 25.596483, 26.035018, 59.383400], [17.730569, 18.976063, 21.216459, 22.039433, 155.681911], [13.495462, 13.843624, 13.925644, 14.513090, 37.635902], [19.687277, 20.009776, 22.999049, 24.337758, 178.205591]]
### 10
fourier: [[7.853646, 7.915413, 8.528296, 8.986434, 105.099845], [30.888416, 31.977634, 35.432012, 37.191296, 267.205702], [10.809798, 10.920257, 11.197452, 11.204928, 69.053625], [8.871042, 8.966231, 10.873992, 11.125318, 46.159530], [10.544794, 10.801142, 11.561368, 11.964967, 129.381346], [51.301464, 51.594273, 62.752927, 63.379791, 118.988385], [21.807217, 21.943039, 28.811974, 30.361474, 35.652771], [21.928014, 22.219143, 29.506777, 30.275728, 40.265091], [13.488866, 13.546942, 14.597191, 14.889111, 107.740306], [37.368043, 38.274700, 44.429847, 46.020437, 339.517688], [20.538940, 20.648782, 20.787507, 20.807921, 136.022779], [34.838633, 34.867692, 41.006572, 42.580756, 312.591453]]
### 12
fourier: [[47.907190, 47.942304, 62.750066, 65.045491, 210.431998]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[16.844118, 18.980700, 20.390957, 21.325276, 92.952281], [25.165988, 25.919320, 26.449102, 29.246800, 198.202125], [23.014044, 23.064245, 28.973904, 30.862071, 159.909140], [32.062104, 35.121051, 42.855072, 44.323405, 203.855238], [21.223761, 21.652754, 22.428141, 25.856274, 34.703025], [19.386000, 20.876895, 21.694276, 22.029579, 23.595256], [35.559763, 35.763316, 36.121064, 49.341251, 137.268555], [27.225511, 28.432260, 29.947662, 33.098430, 219.234063], [35.795524, 40.817349, 44.701322, 46.235934, 222.189891], [15.229218, 15.476056, 16.087812, 17.028783, 24.862786], [21.076509, 22.770510, 23.756034, 24.106711, 104.459654], [19.494507, 20.016392, 20.507685, 25.414992, 34.298036]]
### 2
fourier: [[8.394450, 8.820528, 9.299624, 9.510374, 69.176250], [15.185833, 15.564732, 16.576307, 20.824130, 21.469805], [20.414962, 22.195389, 25.352976, 27.099137, 188.648658], [28.353983, 30.075816, 30.508160, 31.222174, 36.454144], [13.351856, 13.970233, 15.759168, 16.034545, 97.822936], [26.041087, 28.209440, 28.887716, 30.359927, 102.036367], [37.569007, 40.059787, 43.705447, 50.258185, 344.293314], [14.362508, 16.478103, 16.561282, 17.272819, 62.091881], [21.643351, 21.673567, 26.041715, 26.294661, 63.958451], [10.987372, 11.326520, 11.811872, 14.016941, 106.289036], [24.776853, 26.215156, 28.547994, 30.046714, 180.946065], [8.371701, 8.542716, 9.181539, 9.439883, 75.496666]]
### 4
fourier: [[9.909173, 10.289845, 11.208918, 11.518308, 91.485683], [9.354459, 9.482194, 10.763647, 12.912765, 16.728556], [8.342381, 8.706230, 9.261730, 9.407839, 54.608550], [13.702259, 13.812071, 13.841804, 14.601444, 40.737913], [7.168322, 7.349874, 7.434860, 8.093534, 67.873950], [26.837431, 28.911981, 29.336684, 32.732247, 222.080654], [11.994445, 12.349390, 14.879130, 16.071760, 33.340719], [12.063920, 12.460941, 12.666583, 12.855758, 14.427356], [20.909461, 21.386587, 23.114377, 23.351112, 196.790440], [12.320423, 12.425988, 12.445808, 12.730643, 82.000160], [12.398767, 13.772330, 14.268552, 15.901759, 68.672631], [15.573887, 15.815564, 16.875990, 17.629461, 45.623566]]
### 6
fourier: [[21.993202, 23.784742, 23.988894, 27.722650, 208.506873], [11.342640, 11.640589, 11.956470, 13.643706, 13.689068], [17.592605, 18.831815, 21.643304, 21.785278, 38.025905], [8.412466, 9.047345, 9.208205, 9.504845, 112.172184], [14.074170, 14.222967, 14.703038, 19.204029, 20.133351], [7.286721, 7.458660, 7.932423, 7.971404, 64.933333], [6.993160, 7.576592, 7.607849, 8.043396, 37.470269], [18.961344, 20.274665, 20.837842, 23.835867, 185.648995], [21.945519, 22.109419, 25.210180, 27.397972, 194.336007], [2.591427, 2.851313, 2.855376, 3.019431, 15.959902], [6.506125, 6.561474, 6.908505, 7.109375, 66.813929], [13.818358, 15.436196, 17.859865, 17.974972, 28.468275]]
### 8
fourier: [[5.682516, 5.838571, 5.903654, 6.105759, 50.492541], [23.671746, 24.545655, 31.903042, 33.210895, 52.523532], [22.664950, 23.517456, 27.167600, 28.273951, 66.435693], [23.727669, 25.345688, 26.182395, 28.168691, 244.598484], [5.981471, 6.195758, 6.496951, 7.053473, 59.521583], [27.261123, 27.646224, 28.119580, 34.128500, 264.247860], [9.141240, 9.816519, 9.851128, 10.051748, 54.264734], [29.490790, 29.773438, 30.428373, 31.456027, 139.435277], [22.291170, 22.648093, 25.596483, 26.035018, 59.383400], [17.730569, 18.976063, 21.216459, 22.039433, 155.681911], [13.495462, 13.843624, 13.925644, 14.513090, 37.635902], [19.687277, 20.009776, 22.999049, 24.337758, 178.205591]]
### 10
fourier: [[7.853646, 7.915413, 8.528296, 8.986434, 105.099845], [30.888416, 31.977634, 35.432012, 37.191296, 267.205702], [10.809798, 10.920257, 11.197452, 11.204928, 69.053625], [8.871042, 8.966231, 10.873992, 11.125318, 46.159530], [10.544794, 10.801142, 11.561368, 11.964967, 129.381346], [51.301464, 51.594273, 62.752927, 63.379791, 118.988385], [21.807217, 21.943039, 28.811974, 30.361474, 35.652771], [21.928014, 22.219143, 29.506777, 30.275728, 40.265091], [13.488866, 13.546942, 14.597191, 14.889111, 107.740306], [37.368043, 38.274700, 44.429847, 46.020437, 339.517688], [20.538940, 20.648782, 20.787507, 20.807921, 136.022779], [34.838633, 34.867692, 41.006572, 42.580756, 312.591453]]
### 12
fourier: [[47.907190, 47.942304, 62.750066, 65.045491, 210.431998]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.138437, 0.404509, -0.111259, 0.180497, 0.018028], [-0.184471, -0.252824, -0.066234, -0.360527, -0.411108], [-0.463132, -0.412074, -0.040894, -0.170489, -0.105642], [0.523979, -0.183133, 0.534704, 0.16449, 0.475028], [0.343399, 0.157333, -0.474868, 0.174853, -0.518618], [-0.127316, -0.392122, -0.208534, 0.40667, 0.310516], [-0.374679, -0.08422, -0.613914, 0.526214, -0.412138], [-0.284069, 0.578169, 0.186043, 0.542198, -0.062046], [0.367211, 0.217184, 0.634946, 0.01388, 0.547858], [-0.137917, 0.31119, 0.307989, -0.254844, -0.187615], [0.351715, 0.230734, 0.127695, -0.200621, 0.287409], [-0.445478, -0.236786, 0.026563, 0.378338, 0.223284]], "network.0.bias": [-0.053473, -0.093462, 0.131783, -0.10884, 0.426291, -0.07114, -0.243204, 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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6793774366378784, "train_acc": 0.585, "val_loss": 0.7105211615562439, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6710697412490845, "train_acc": 0.585, "val_loss": 0.6935735940933228, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6629250049591064, "train_acc": 0.585, "val_loss": 0.6575886607170105, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6488564014434814, "train_acc": 0.595, "val_loss": 0.5463488101959229, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.518466129899025, "train_acc": 0.73, "val_loss": 0.4231742024421692, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.37074387073516846, "train_acc": 0.89, "val_loss": 0.33882254362106323, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.2202996090054512, "train_acc": 0.925, "val_loss": 0.32257935404777527, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.1515246368944645, "train_acc": 0.95, "val_loss": 0.45904722809791565, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.07642906159162521, "train_acc": 0.975, "val_loss": 0.5280469655990601, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.0841577798128128, "train_acc": 0.975, "val_loss": 0.4756089746952057, "val_acc": 0.9}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7105211615562439, "final_val_loss": 0.6575886607170105, "initial_val_acc": 0.48, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5463488101959229, "final_val_loss": 0.4756089746952057, "initial_val_acc": 0.7, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 7}, "improvement": 0.28, "first_improvement_epoch": 2}}
|
69
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.56, "improved_accuracy": 0.84, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 10, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2852, "learning_rate": 0.07766329866765023, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[28.601210, 30.096655, 31.231101, 33.109257, 216.028251], [16.673366, 17.192378, 18.706929, 23.533139, 48.582237], [24.252834, 25.668290, 26.887576, 27.516768, 40.353426], [21.455368, 21.867107, 21.913481, 22.128465, 80.992734], [31.371562, 31.445775, 34.283462, 34.721320, 250.194163], [24.945368, 29.182936, 31.866229, 32.877695, 37.362969], [25.537001, 25.576950, 28.188870, 38.503178, 70.647037], [13.697487, 15.911954, 16.944016, 18.630242, 92.617861], [29.542912, 29.801155, 33.760188, 37.210142, 107.114961], [16.216407, 17.719811, 19.487919, 23.563370, 68.039853]]
### 2
fourier: [[16.471059, 16.560930, 18.294308, 18.866267, 94.317206], [8.777372, 9.957070, 10.203331, 10.495314, 12.169120], [13.524296, 13.715276, 14.211306, 18.138595, 21.995643], [10.833383, 11.518984, 12.123329, 15.089308, 23.715216], [20.286631, 21.313034, 21.315386, 21.610992, 27.945350], [15.210477, 15.479575, 16.743593, 19.135005, 110.546017], [11.453557, 11.974911, 12.604706, 13.816058, 20.960007], [12.920354, 14.246659, 14.424542, 17.313961, 30.367342], [28.533966, 30.094212, 34.721138, 39.094164, 50.742207], [17.551418, 18.928574, 19.681373, 20.922971, 21.406598]]
### 4
fourier: [[14.613071, 14.672407, 16.900299, 19.440246, 24.534985], [11.904067, 13.429418, 15.886154, 17.488335, 76.035025], [23.544192, 25.796918, 26.777638, 32.163767, 126.767982], [11.113036, 11.699636, 13.817007, 14.287829, 16.707791], [12.551788, 13.491649, 13.552813, 16.964573, 31.458571], [16.813861, 17.037925, 21.696667, 23.293217, 49.722317], [26.278036, 29.003262, 30.482891, 36.135606, 150.668870], [11.476327, 11.691004, 12.943563, 14.635441, 38.330160], [9.641620, 10.189378, 11.907400, 13.804499, 80.178663], [16.321167, 16.789637, 16.959394, 23.949417, 25.133204]]
### 6
fourier: [[2.906904, 3.032038, 3.192415, 3.643290, 44.856068], [11.161146, 11.340151, 11.705529, 14.362193, 32.279579], [6.070952, 6.202109, 8.504597, 8.872911, 56.547716], [5.520049, 6.120665, 7.021966, 7.997954, 65.489063], [20.091038, 21.600514, 21.746046, 23.173166, 27.346194], [12.895104, 13.085127, 13.281350, 13.346675, 17.356739], [7.370341, 8.046983, 8.091360, 9.989693, 26.352317], [19.181091, 20.149384, 20.564550, 26.460223, 49.243336], [15.077187, 16.263586, 16.853147, 17.696283, 21.479904], [13.168630, 13.186704, 14.801522, 15.176926, 17.229271]]
### 8
fourier: [[17.883162, 19.007540, 20.285612, 24.291563, 47.836527], [14.598177, 14.828626, 15.947396, 16.641964, 21.040510], [19.556435, 20.242037, 21.297615, 22.183750, 27.232269], [5.918618, 6.078766, 6.473125, 8.499905, 59.772166], [2.299251, 2.494441, 3.042430, 4.104571, 56.263552], [4.960435, 5.513995, 5.569082, 6.586108, 62.192479], [22.613620, 24.936339, 25.764273, 26.228138, 33.199233], [11.403573, 12.805009, 13.612639, 13.754076, 17.889506], [7.118154, 7.499566, 8.436045, 9.452353, 43.153971], [18.654433, 18.715999, 19.550310, 25.056793, 36.903616]]
### 10
fourier: [[7.948710, 8.167536, 8.803255, 10.135765, 46.399237], [17.628561, 18.182435, 18.347070, 23.672965, 43.180371], [6.460516, 6.476669, 7.195856, 7.537742, 60.624665], [10.632638, 11.198670, 11.994862, 12.601023, 45.947001], [12.518761, 13.665160, 13.766287, 14.074967, 74.242385], [16.105079, 16.262768, 16.654109, 21.177655, 29.093536], [17.976850, 19.079098, 19.295582, 24.826637, 37.685141], [14.334424, 14.405548, 15.778985, 18.372142, 32.528863], [18.564916, 18.796070, 19.785844, 24.240262, 27.235583], [15.995970, 16.483911, 16.692301, 21.502747, 29.478433]]
### 12
fourier: [[28.550776, 29.001716, 29.544815, 37.381549, 82.113396], [1.256176, 1.289881, 1.452416, 1.763729, 61.849447], [2.531438, 2.554733, 2.688583, 3.547436, 78.554338], [1.586760, 1.595701, 1.641612, 2.080295, 60.961266], [22.617654, 22.908287, 23.115999, 29.588769, 41.047854], [7.697581, 8.258053, 8.706337, 9.859882, 24.607873], [21.264970, 21.857511, 22.054606, 27.971949, 63.094878], [10.743162, 11.512459, 12.324419, 13.531093, 62.433156], [6.677844, 7.087231, 7.240119, 7.333082, 18.986509], [8.925352, 8.942115, 9.589946, 9.799227, 61.736148]]
### 14
fourier: [[16.379403, 17.057336, 17.920612, 18.360976, 124.815119]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[28.601210, 30.096655, 31.231101, 33.109257, 216.028251], [16.673366, 17.192378, 18.706929, 23.533139, 48.582237], [24.252834, 25.668290, 26.887576, 27.516768, 40.353426], [21.455368, 21.867107, 21.913481, 22.128465, 80.992734], [31.371562, 31.445775, 34.283462, 34.721320, 250.194163], [24.945368, 29.182936, 31.866229, 32.877695, 37.362969], [25.537001, 25.576950, 28.188870, 38.503178, 70.647037], [13.697487, 15.911954, 16.944016, 18.630242, 92.617861], [29.542912, 29.801155, 33.760188, 37.210142, 107.114961], [16.216407, 17.719811, 19.487919, 23.563370, 68.039853]]
### 2
fourier: [[16.471059, 16.560930, 18.294308, 18.866267, 94.317206], [8.777372, 9.957070, 10.203331, 10.495314, 12.169120], [13.524296, 13.715276, 14.211306, 18.138595, 21.995643], [10.833383, 11.518984, 12.123329, 15.089308, 23.715216], [20.286631, 21.313034, 21.315386, 21.610992, 27.945350], [15.210477, 15.479575, 16.743593, 19.135005, 110.546017], [11.453557, 11.974911, 12.604706, 13.816058, 20.960007], [12.920354, 14.246659, 14.424542, 17.313961, 30.367342], [28.533966, 30.094212, 34.721138, 39.094164, 50.742207], [17.551418, 18.928574, 19.681373, 20.922971, 21.406598]]
### 4
fourier: [[14.613071, 14.672407, 16.900299, 19.440246, 24.534985], [11.904067, 13.429418, 15.886154, 17.488335, 76.035025], [23.544192, 25.796918, 26.777638, 32.163767, 126.767982], [11.113036, 11.699636, 13.817007, 14.287829, 16.707791], [12.551788, 13.491649, 13.552813, 16.964573, 31.458571], [16.813861, 17.037925, 21.696667, 23.293217, 49.722317], [26.278036, 29.003262, 30.482891, 36.135606, 150.668870], [11.476327, 11.691004, 12.943563, 14.635441, 38.330160], [9.641620, 10.189378, 11.907400, 13.804499, 80.178663], [16.321167, 16.789637, 16.959394, 23.949417, 25.133204]]
### 6
fourier: [[2.906904, 3.032038, 3.192415, 3.643290, 44.856068], [11.161146, 11.340151, 11.705529, 14.362193, 32.279579], [6.070952, 6.202109, 8.504597, 8.872911, 56.547716], [5.520049, 6.120665, 7.021966, 7.997954, 65.489063], [20.091038, 21.600514, 21.746046, 23.173166, 27.346194], [12.895104, 13.085127, 13.281350, 13.346675, 17.356739], [7.370341, 8.046983, 8.091360, 9.989693, 26.352317], [19.181091, 20.149384, 20.564550, 26.460223, 49.243336], [15.077187, 16.263586, 16.853147, 17.696283, 21.479904], [13.168630, 13.186704, 14.801522, 15.176926, 17.229271]]
### 8
fourier: [[17.883162, 19.007540, 20.285612, 24.291563, 47.836527], [14.598177, 14.828626, 15.947396, 16.641964, 21.040510], [19.556435, 20.242037, 21.297615, 22.183750, 27.232269], [5.918618, 6.078766, 6.473125, 8.499905, 59.772166], [2.299251, 2.494441, 3.042430, 4.104571, 56.263552], [4.960435, 5.513995, 5.569082, 6.586108, 62.192479], [22.613620, 24.936339, 25.764273, 26.228138, 33.199233], [11.403573, 12.805009, 13.612639, 13.754076, 17.889506], [7.118154, 7.499566, 8.436045, 9.452353, 43.153971], [18.654433, 18.715999, 19.550310, 25.056793, 36.903616]]
### 10
fourier: [[7.948710, 8.167536, 8.803255, 10.135765, 46.399237], [17.628561, 18.182435, 18.347070, 23.672965, 43.180371], [6.460516, 6.476669, 7.195856, 7.537742, 60.624665], [10.632638, 11.198670, 11.994862, 12.601023, 45.947001], [12.518761, 13.665160, 13.766287, 14.074967, 74.242385], [16.105079, 16.262768, 16.654109, 21.177655, 29.093536], [17.976850, 19.079098, 19.295582, 24.826637, 37.685141], [14.334424, 14.405548, 15.778985, 18.372142, 32.528863], [18.564916, 18.796070, 19.785844, 24.240262, 27.235583], [15.995970, 16.483911, 16.692301, 21.502747, 29.478433]]
### 12
fourier: [[28.550776, 29.001716, 29.544815, 37.381549, 82.113396], [1.256176, 1.289881, 1.452416, 1.763729, 61.849447], [2.531438, 2.554733, 2.688583, 3.547436, 78.554338], [1.586760, 1.595701, 1.641612, 2.080295, 60.961266], [22.617654, 22.908287, 23.115999, 29.588769, 41.047854], [7.697581, 8.258053, 8.706337, 9.859882, 24.607873], [21.264970, 21.857511, 22.054606, 27.971949, 63.094878], [10.743162, 11.512459, 12.324419, 13.531093, 62.433156], [6.677844, 7.087231, 7.240119, 7.333082, 18.986509], [8.925352, 8.942115, 9.589946, 9.799227, 61.736148]]
### 14
fourier: [[16.379403, 17.057336, 17.920612, 18.360976, 124.815119]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6785615980625153, "train_acc": 0.56, "val_loss": 0.705094575881958, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6894726753234863, "train_acc": 0.595, "val_loss": 0.6715717911720276, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.669437974691391, "train_acc": 0.56, "val_loss": 0.6382299661636353, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6522314250469208, "train_acc": 0.515, "val_loss": 0.4676669239997864, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.663104772567749, "train_acc": 0.715, "val_loss": 0.42812755703926086, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5386160016059875, "train_acc": 0.77, "val_loss": 0.5343068242073059, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5713204741477966, "train_acc": 0.73, "val_loss": 0.5779075622558594, "val_acc": 0.64}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5414520800113678, "train_acc": 0.715, "val_loss": 0.46835678815841675, "val_acc": 0.78}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.705094575881958, "final_val_loss": 0.6382299661636353, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.4676669239997864, "final_val_loss": 0.46835678815841675, "initial_val_acc": 0.84, "final_val_acc": 0.78, "best_val_acc": 0.84, "best_epoch": 3}, "improvement": 0.2799999999999999, "first_improvement_epoch": 2}}
|
70
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 10, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7491, "learning_rate": 0.0553638063323247, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[22.438941, 22.540540, 24.886051, 26.773535, 200.666948], [15.975584, 16.013040, 17.536866, 26.616458, 90.064582], [21.420432, 22.589811, 24.523040, 27.470489, 59.684737], [22.128752, 24.835178, 25.118983, 29.198503, 91.477003], [20.910136, 25.858744, 27.830928, 33.651668, 88.851439], [22.989861, 23.162121, 26.867157, 32.301084, 69.392603], [27.562193, 29.531723, 30.316104, 32.272089, 35.896460], [21.155629, 21.252107, 22.907169, 23.758829, 185.232779], [23.468129, 24.648885, 25.429135, 26.398996, 103.418740], [23.358508, 23.470935, 23.586314, 25.634886, 153.261745]]
### 2
fourier: [[28.916751, 29.256068, 30.155747, 32.415178, 35.256298], [24.507715, 25.240837, 29.865851, 30.969167, 34.982206], [11.711660, 13.540517, 14.036772, 15.060837, 110.182678], [39.409657, 39.853363, 41.918103, 42.538482, 144.114495], [54.180220, 54.369372, 57.829349, 58.531506, 83.458048], [24.097002, 27.188150, 28.347207, 28.403970, 105.068448], [24.053857, 26.014455, 27.110574, 27.963259, 110.217331], [13.218362, 15.161972, 15.339536, 17.079945, 99.397106], [29.870070, 30.098675, 31.715389, 32.930011, 71.748851], [20.392455, 23.791566, 24.324349, 25.743635, 111.924111]]
### 4
fourier: [[15.690245, 16.487285, 16.905593, 17.535493, 23.571268], [39.877312, 43.260237, 44.947279, 49.994982, 103.712265], [21.860733, 21.889869, 25.429763, 25.585913, 25.672582], [50.482276, 54.701304, 55.748439, 61.742384, 64.923698], [33.631530, 33.881759, 36.608446, 39.276842, 43.272426], [44.945017, 48.706325, 48.924998, 54.055517, 57.882828], [21.037216, 22.384531, 22.941740, 25.433604, 26.431507], [8.084808, 8.777833, 9.758373, 9.796616, 75.698835], [47.647192, 49.790331, 51.132327, 51.146953, 78.318898], [25.742212, 28.698449, 30.859173, 30.862477, 150.386597]]
### 6
fourier: [[55.807738, 56.422913, 59.639579, 69.930090, 136.178825], [53.250653, 55.118422, 61.244236, 63.440684, 71.888542], [57.054977, 62.383699, 66.357603, 71.257367, 79.564467], [34.079461, 36.867753, 43.356516, 45.597860, 122.475336], [37.473806, 43.257268, 48.750654, 52.372996, 176.574623], [63.826934, 64.443372, 72.792451, 73.969367, 84.892384], [58.184440, 64.856576, 65.667069, 76.414734, 82.875497], [61.575875, 65.992571, 70.939131, 74.688792, 85.716966], [25.047050, 26.484369, 26.891805, 34.369632, 34.783165], [6.062723, 6.451023, 6.728796, 7.053042, 37.858804]]
### 8
fourier: [[113.130476, 131.181426, 148.732838, 153.218065, 172.623978], [98.217335, 110.567275, 125.546170, 131.148220, 169.245222], [22.811249, 24.517254, 25.927320, 29.311791, 34.527827], [6.616309, 7.117771, 8.388284, 8.418517, 64.502895], [85.617937, 94.864101, 100.003458, 113.918549, 122.076890], [78.563403, 89.431082, 90.286501, 102.830173, 112.328181], [59.647614, 64.991439, 70.227719, 80.270209, 84.933326], [57.215287, 63.433345, 67.389989, 75.620838, 82.385595], [57.320081, 66.671787, 75.243150, 77.474500, 211.474141], [90.354260, 105.305588, 119.994324, 122.399147, 174.058014]]
### 10
fourier: [[1.170017, 1.286522, 1.348464, 1.502365, 23.617278], [54.457271, 56.679521, 62.320863, 63.192633, 251.205722], [77.470522, 86.915800, 90.370408, 104.190839, 110.605775], [113.909778, 118.229889, 132.545236, 142.225399, 186.937296], [60.720326, 67.245654, 71.585817, 82.796715, 85.675730], [37.969238, 40.876691, 45.173221, 51.519779, 53.590846], [28.884883, 32.720064, 32.856373, 33.941141, 38.010245], [51.211861, 57.720875, 59.552427, 68.725714, 72.625727], [50.075917, 55.973641, 57.306573, 64.996868, 70.108077], [33.567270, 34.334710, 34.661056, 37.832322, 103.546553]]
### 12
fourier: [[37.483240, 37.721433, 43.971826, 46.416671, 52.068195], [37.301617, 40.384225, 43.799443, 50.704689, 52.776651], [78.735043, 79.286748, 92.375528, 92.732124, 97.765551], [35.280653, 35.556914, 38.257333, 38.347334, 210.302362], [49.068218, 53.232402, 54.025927, 62.261276, 66.182012], [32.597734, 34.547149, 35.112341, 38.101125, 131.769023], [10.543901, 11.633815, 12.223741, 18.922252, 170.994213], [86.453083, 96.140745, 102.471850, 110.225945, 277.997383], [45.004585, 49.210304, 52.551628, 60.691780, 63.804313], [48.115603, 48.333203, 56.835396, 59.698684, 78.313744]]
### 14
fourier: [[20.394139, 22.353908, 23.509211, 25.446250, 149.346087], [88.898236, 98.303810, 102.652477, 116.268299, 120.928645], [55.788979, 61.666867, 65.262707, 75.820332, 79.154579], [115.243249, 125.318717, 135.268074, 155.577592, 162.526143], [31.395989, 33.586866, 33.657461, 38.757218, 40.584531], [5.151514, 5.484437, 6.667772, 8.523996, 88.617573], [44.551927, 49.593113, 51.947315, 60.029627, 63.085688], [19.059988, 20.849105, 22.291321, 25.517290, 26.708911], [48.104977, 48.274452, 48.817788, 52.669759, 385.933882], [116.980209, 129.131209, 136.942299, 157.859835, 165.579194]]
### 16
fourier: [[77.968348, 85.866270, 92.546683, 97.109040, 363.809492]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 10
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[22.438941, 22.540540, 24.886051, 26.773535, 200.666948], [15.975584, 16.013040, 17.536866, 26.616458, 90.064582], [21.420432, 22.589811, 24.523040, 27.470489, 59.684737], [22.128752, 24.835178, 25.118983, 29.198503, 91.477003], [20.910136, 25.858744, 27.830928, 33.651668, 88.851439], [22.989861, 23.162121, 26.867157, 32.301084, 69.392603], [27.562193, 29.531723, 30.316104, 32.272089, 35.896460], [21.155629, 21.252107, 22.907169, 23.758829, 185.232779], [23.468129, 24.648885, 25.429135, 26.398996, 103.418740], [23.358508, 23.470935, 23.586314, 25.634886, 153.261745]]
### 2
fourier: [[28.916751, 29.256068, 30.155747, 32.415178, 35.256298], [24.507715, 25.240837, 29.865851, 30.969167, 34.982206], [11.711660, 13.540517, 14.036772, 15.060837, 110.182678], [39.409657, 39.853363, 41.918103, 42.538482, 144.114495], [54.180220, 54.369372, 57.829349, 58.531506, 83.458048], [24.097002, 27.188150, 28.347207, 28.403970, 105.068448], [24.053857, 26.014455, 27.110574, 27.963259, 110.217331], [13.218362, 15.161972, 15.339536, 17.079945, 99.397106], [29.870070, 30.098675, 31.715389, 32.930011, 71.748851], [20.392455, 23.791566, 24.324349, 25.743635, 111.924111]]
### 4
fourier: [[15.690245, 16.487285, 16.905593, 17.535493, 23.571268], [39.877312, 43.260237, 44.947279, 49.994982, 103.712265], [21.860733, 21.889869, 25.429763, 25.585913, 25.672582], [50.482276, 54.701304, 55.748439, 61.742384, 64.923698], [33.631530, 33.881759, 36.608446, 39.276842, 43.272426], [44.945017, 48.706325, 48.924998, 54.055517, 57.882828], [21.037216, 22.384531, 22.941740, 25.433604, 26.431507], [8.084808, 8.777833, 9.758373, 9.796616, 75.698835], [47.647192, 49.790331, 51.132327, 51.146953, 78.318898], [25.742212, 28.698449, 30.859173, 30.862477, 150.386597]]
### 6
fourier: [[55.807738, 56.422913, 59.639579, 69.930090, 136.178825], [53.250653, 55.118422, 61.244236, 63.440684, 71.888542], [57.054977, 62.383699, 66.357603, 71.257367, 79.564467], [34.079461, 36.867753, 43.356516, 45.597860, 122.475336], [37.473806, 43.257268, 48.750654, 52.372996, 176.574623], [63.826934, 64.443372, 72.792451, 73.969367, 84.892384], [58.184440, 64.856576, 65.667069, 76.414734, 82.875497], [61.575875, 65.992571, 70.939131, 74.688792, 85.716966], [25.047050, 26.484369, 26.891805, 34.369632, 34.783165], [6.062723, 6.451023, 6.728796, 7.053042, 37.858804]]
### 8
fourier: [[113.130476, 131.181426, 148.732838, 153.218065, 172.623978], [98.217335, 110.567275, 125.546170, 131.148220, 169.245222], [22.811249, 24.517254, 25.927320, 29.311791, 34.527827], [6.616309, 7.117771, 8.388284, 8.418517, 64.502895], [85.617937, 94.864101, 100.003458, 113.918549, 122.076890], [78.563403, 89.431082, 90.286501, 102.830173, 112.328181], [59.647614, 64.991439, 70.227719, 80.270209, 84.933326], [57.215287, 63.433345, 67.389989, 75.620838, 82.385595], [57.320081, 66.671787, 75.243150, 77.474500, 211.474141], [90.354260, 105.305588, 119.994324, 122.399147, 174.058014]]
### 10
fourier: [[1.170017, 1.286522, 1.348464, 1.502365, 23.617278], [54.457271, 56.679521, 62.320863, 63.192633, 251.205722], [77.470522, 86.915800, 90.370408, 104.190839, 110.605775], [113.909778, 118.229889, 132.545236, 142.225399, 186.937296], [60.720326, 67.245654, 71.585817, 82.796715, 85.675730], [37.969238, 40.876691, 45.173221, 51.519779, 53.590846], [28.884883, 32.720064, 32.856373, 33.941141, 38.010245], [51.211861, 57.720875, 59.552427, 68.725714, 72.625727], [50.075917, 55.973641, 57.306573, 64.996868, 70.108077], [33.567270, 34.334710, 34.661056, 37.832322, 103.546553]]
### 12
fourier: [[37.483240, 37.721433, 43.971826, 46.416671, 52.068195], [37.301617, 40.384225, 43.799443, 50.704689, 52.776651], [78.735043, 79.286748, 92.375528, 92.732124, 97.765551], [35.280653, 35.556914, 38.257333, 38.347334, 210.302362], [49.068218, 53.232402, 54.025927, 62.261276, 66.182012], [32.597734, 34.547149, 35.112341, 38.101125, 131.769023], [10.543901, 11.633815, 12.223741, 18.922252, 170.994213], [86.453083, 96.140745, 102.471850, 110.225945, 277.997383], [45.004585, 49.210304, 52.551628, 60.691780, 63.804313], [48.115603, 48.333203, 56.835396, 59.698684, 78.313744]]
### 14
fourier: [[20.394139, 22.353908, 23.509211, 25.446250, 149.346087], [88.898236, 98.303810, 102.652477, 116.268299, 120.928645], [55.788979, 61.666867, 65.262707, 75.820332, 79.154579], [115.243249, 125.318717, 135.268074, 155.577592, 162.526143], [31.395989, 33.586866, 33.657461, 38.757218, 40.584531], [5.151514, 5.484437, 6.667772, 8.523996, 88.617573], [44.551927, 49.593113, 51.947315, 60.029627, 63.085688], [19.059988, 20.849105, 22.291321, 25.517290, 26.708911], [48.104977, 48.274452, 48.817788, 52.669759, 385.933882], [116.980209, 129.131209, 136.942299, 157.859835, 165.579194]]
### 16
fourier: [[77.968348, 85.866270, 92.546683, 97.109040, 363.809492]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7174644768238068, "train_acc": 0.41, "val_loss": 0.6948554515838623, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6802207827568054, "train_acc": 0.59, "val_loss": 0.6451133489608765, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5124028772115707, "train_acc": 0.64, "val_loss": 0.7302760481834412, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.48793382942676544, "train_acc": 0.795, "val_loss": 0.461642861366272, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4326433092355728, "train_acc": 0.8, "val_loss": 0.3769374191761017, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.33985450863838196, "train_acc": 0.845, "val_loss": 0.3426758646965027, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.25222066044807434, "train_acc": 0.93, "val_loss": 0.2815341651439667, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.21387556195259094, "train_acc": 0.925, "val_loss": 0.4517696499824524, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3045506328344345, "train_acc": 0.925, "val_loss": 0.3698287606239319, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.18645665794610977, "train_acc": 0.925, "val_loss": 0.26813653111457825, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2269873470067978, "train_acc": 0.925, "val_loss": 0.28121528029441833, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.20950093865394592, "train_acc": 0.94, "val_loss": 0.23337604105472565, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6948554515838623, "final_val_loss": 0.6451133489608765, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.7302760481834412, "final_val_loss": 0.23337604105472565, "initial_val_acc": 0.68, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 7}, "improvement": 0.42000000000000004, "first_improvement_epoch": 1}}
|
71
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.68, "improved_accuracy": 0.92, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4020, "learning_rate": 0.08076761257954843, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[45.402445, 50.917001, 51.047823, 54.383652, 252.919685], [35.000051, 38.843102, 46.961655, 49.893282, 121.039075], [32.209318, 33.790307, 33.831908, 41.758250, 64.316635], [24.743457, 28.836480, 29.778251, 30.911811, 32.745713], [50.673278, 53.252408, 67.646506, 68.826317, 79.067505], [29.373876, 31.294685, 34.388349, 38.387077, 152.279316], [16.092438, 16.982161, 17.973534, 18.775414, 26.284455], [33.805836, 37.820832, 42.865005, 48.595002, 260.687036], [44.498343, 45.321524, 50.155923, 50.483774, 254.785740], [50.550518, 53.837880, 56.327978, 57.637839, 186.763549], [33.205597, 34.597499, 35.958664, 39.669123, 93.475543]]
### 2
fourier: [[53.559205, 54.419898, 62.215497, 68.175350, 201.093454], [109.686228, 113.589417, 117.259989, 124.902554, 644.787493], [59.766441, 60.291530, 65.801311, 65.876396, 357.742575], [47.540948, 49.622349, 50.751708, 51.531937, 257.337438], [54.495174, 56.195981, 59.754276, 65.306932, 337.609723], [131.405838, 132.679259, 142.006135, 142.793577, 685.990234], [115.338218, 128.123214, 133.903973, 142.574227, 755.456770], [93.773856, 99.880159, 103.234150, 111.033254, 610.541949], [65.533874, 66.518854, 67.678785, 80.572293, 300.078170], [111.373917, 120.081810, 124.530235, 128.438206, 633.796360], [67.660982, 67.963600, 69.813013, 74.766294, 384.729072]]
### 4
fourier: [[31.183711, 32.973764, 33.041807, 34.704921, 95.515659], [41.462244, 42.924857, 43.031919, 43.175158, 210.135862], [49.049914, 50.224044, 52.537279, 53.410574, 197.589482], [58.825767, 59.855224, 62.159474, 62.555631, 270.810197], [39.169221, 39.492891, 39.913747, 41.014237, 206.965076], [29.644095, 29.741347, 31.324985, 31.822982, 118.006307], [44.425278, 45.599742, 46.130893, 46.611305, 218.140997], [40.925860, 41.266788, 41.853213, 43.000896, 172.260996], [44.898307, 45.359347, 47.557978, 48.366866, 175.711966], [74.771216, 76.279310, 77.424132, 78.571104, 332.220980], [26.419889, 27.237885, 28.621384, 29.323179, 66.504410]]
### 6
fourier: [[107.042375, 108.395646, 110.397354, 119.820231, 584.961742], [53.361149, 54.433832, 54.819347, 54.889820, 196.868086], [45.131840, 45.248811, 45.616350, 50.277213, 150.029760], [107.459024, 109.673396, 112.295392, 117.900582, 457.330638], [66.338499, 68.129113, 69.278473, 72.851986, 344.604263], [37.730572, 38.328309, 40.929671, 41.476444, 42.551842], [102.071484, 102.736023, 104.641835, 113.362258, 553.676103], [50.689542, 51.266208, 52.505822, 54.201108, 171.338994], [88.945900, 89.997772, 91.144957, 100.095712, 364.933338], [82.525991, 84.289894, 86.186076, 90.162274, 347.132066], [73.573982, 73.590428, 73.870665, 81.746684, 402.039628]]
### 8
fourier: [[87.211456, 87.428408, 89.961330, 92.971504, 219.405887], [12.126896, 12.591003, 12.756554, 12.779786, 29.251711], [177.535406, 178.068819, 183.413764, 193.883245, 701.295113], [48.324584, 48.989144, 49.406101, 54.197496, 239.995160], [215.134564, 216.907407, 221.101556, 239.765689, 906.200636], [168.755948, 169.115196, 174.352835, 185.837724, 667.290212], [108.559989, 108.560820, 112.091262, 118.914320, 435.331447], [111.012223, 111.045155, 114.289567, 119.183565, 406.602544], [118.980111, 119.174155, 120.042774, 130.993815, 460.174325], [61.039067, 61.740810, 62.936621, 63.656724, 155.868300], [71.135480, 72.530510, 74.258981, 78.353765, 260.322363]]
### 10
fourier: [[185.871229, 186.667135, 189.175894, 195.121278, 663.437835], [101.276530, 103.468756, 104.538450, 113.819317, 413.131729], [17.166155, 19.338268, 19.906965, 21.713014, 33.567938], [190.076363, 191.482366, 194.804384, 211.697449, 746.954180], [116.862607, 118.194974, 120.799439, 130.368356, 442.632542], [125.481295, 127.144835, 128.892889, 134.586443, 393.622264], [93.346880, 93.463499, 96.265700, 102.749996, 370.470808], [106.267165, 107.546164, 107.674067, 118.923311, 485.973818], [182.226492, 183.797094, 188.814021, 200.323464, 693.529655], [154.674071, 159.976331, 161.873359, 176.340633, 711.526117], [25.316903, 25.912849, 28.032171, 28.917743, 347.541158]]
### 12
fourier: [[161.473653, 164.234310, 166.816771, 178.993735, 613.601881]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[45.402445, 50.917001, 51.047823, 54.383652, 252.919685], [35.000051, 38.843102, 46.961655, 49.893282, 121.039075], [32.209318, 33.790307, 33.831908, 41.758250, 64.316635], [24.743457, 28.836480, 29.778251, 30.911811, 32.745713], [50.673278, 53.252408, 67.646506, 68.826317, 79.067505], [29.373876, 31.294685, 34.388349, 38.387077, 152.279316], [16.092438, 16.982161, 17.973534, 18.775414, 26.284455], [33.805836, 37.820832, 42.865005, 48.595002, 260.687036], [44.498343, 45.321524, 50.155923, 50.483774, 254.785740], [50.550518, 53.837880, 56.327978, 57.637839, 186.763549], [33.205597, 34.597499, 35.958664, 39.669123, 93.475543]]
### 2
fourier: [[53.559205, 54.419898, 62.215497, 68.175350, 201.093454], [109.686228, 113.589417, 117.259989, 124.902554, 644.787493], [59.766441, 60.291530, 65.801311, 65.876396, 357.742575], [47.540948, 49.622349, 50.751708, 51.531937, 257.337438], [54.495174, 56.195981, 59.754276, 65.306932, 337.609723], [131.405838, 132.679259, 142.006135, 142.793577, 685.990234], [115.338218, 128.123214, 133.903973, 142.574227, 755.456770], [93.773856, 99.880159, 103.234150, 111.033254, 610.541949], [65.533874, 66.518854, 67.678785, 80.572293, 300.078170], [111.373917, 120.081810, 124.530235, 128.438206, 633.796360], [67.660982, 67.963600, 69.813013, 74.766294, 384.729072]]
### 4
fourier: [[31.183711, 32.973764, 33.041807, 34.704921, 95.515659], [41.462244, 42.924857, 43.031919, 43.175158, 210.135862], [49.049914, 50.224044, 52.537279, 53.410574, 197.589482], [58.825767, 59.855224, 62.159474, 62.555631, 270.810197], [39.169221, 39.492891, 39.913747, 41.014237, 206.965076], [29.644095, 29.741347, 31.324985, 31.822982, 118.006307], [44.425278, 45.599742, 46.130893, 46.611305, 218.140997], [40.925860, 41.266788, 41.853213, 43.000896, 172.260996], [44.898307, 45.359347, 47.557978, 48.366866, 175.711966], [74.771216, 76.279310, 77.424132, 78.571104, 332.220980], [26.419889, 27.237885, 28.621384, 29.323179, 66.504410]]
### 6
fourier: [[107.042375, 108.395646, 110.397354, 119.820231, 584.961742], [53.361149, 54.433832, 54.819347, 54.889820, 196.868086], [45.131840, 45.248811, 45.616350, 50.277213, 150.029760], [107.459024, 109.673396, 112.295392, 117.900582, 457.330638], [66.338499, 68.129113, 69.278473, 72.851986, 344.604263], [37.730572, 38.328309, 40.929671, 41.476444, 42.551842], [102.071484, 102.736023, 104.641835, 113.362258, 553.676103], [50.689542, 51.266208, 52.505822, 54.201108, 171.338994], [88.945900, 89.997772, 91.144957, 100.095712, 364.933338], [82.525991, 84.289894, 86.186076, 90.162274, 347.132066], [73.573982, 73.590428, 73.870665, 81.746684, 402.039628]]
### 8
fourier: [[87.211456, 87.428408, 89.961330, 92.971504, 219.405887], [12.126896, 12.591003, 12.756554, 12.779786, 29.251711], [177.535406, 178.068819, 183.413764, 193.883245, 701.295113], [48.324584, 48.989144, 49.406101, 54.197496, 239.995160], [215.134564, 216.907407, 221.101556, 239.765689, 906.200636], [168.755948, 169.115196, 174.352835, 185.837724, 667.290212], [108.559989, 108.560820, 112.091262, 118.914320, 435.331447], [111.012223, 111.045155, 114.289567, 119.183565, 406.602544], [118.980111, 119.174155, 120.042774, 130.993815, 460.174325], [61.039067, 61.740810, 62.936621, 63.656724, 155.868300], [71.135480, 72.530510, 74.258981, 78.353765, 260.322363]]
### 10
fourier: [[185.871229, 186.667135, 189.175894, 195.121278, 663.437835], [101.276530, 103.468756, 104.538450, 113.819317, 413.131729], [17.166155, 19.338268, 19.906965, 21.713014, 33.567938], [190.076363, 191.482366, 194.804384, 211.697449, 746.954180], [116.862607, 118.194974, 120.799439, 130.368356, 442.632542], [125.481295, 127.144835, 128.892889, 134.586443, 393.622264], [93.346880, 93.463499, 96.265700, 102.749996, 370.470808], [106.267165, 107.546164, 107.674067, 118.923311, 485.973818], [182.226492, 183.797094, 188.814021, 200.323464, 693.529655], [154.674071, 159.976331, 161.873359, 176.340633, 711.526117], [25.316903, 25.912849, 28.032171, 28.917743, 347.541158]]
### 12
fourier: [[161.473653, 164.234310, 166.816771, 178.993735, 613.601881]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6935807466506958, "train_acc": 0.475, "val_loss": 0.7499200701713562, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6401551067829132, "train_acc": 0.595, "val_loss": 0.6066884994506836, "val_acc": 0.68}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5551319420337677, "train_acc": 0.72, "val_loss": 0.5034128427505493, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4669424593448639, "train_acc": 0.785, "val_loss": 0.40908515453338623, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3378768637776375, "train_acc": 0.885, "val_loss": 0.2486179769039154, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2822687551379204, "train_acc": 0.885, "val_loss": 0.4074755012989044, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2740805000066757, "train_acc": 0.91, "val_loss": 0.21918056905269623, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.30370577424764633, "train_acc": 0.915, "val_loss": 0.2661505937576294, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.25382010638713837, "train_acc": 0.91, "val_loss": 0.3848510980606079, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.32355719804763794, "train_acc": 0.84, "val_loss": 0.2980117201805115, "val_acc": 0.88}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7499200701713562, "final_val_loss": 0.6066884994506836, "initial_val_acc": 0.38, "final_val_acc": 0.68, "best_val_acc": 0.68}, "improved_stage": {"initial_val_loss": 0.5034128427505493, "final_val_loss": 0.2980117201805115, "initial_val_acc": 0.76, "final_val_acc": 0.88, "best_val_acc": 0.92, "best_epoch": 6}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
72
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1155, "learning_rate": 0.014526773120334367, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[18.656494, 19.039783, 19.452634, 22.060668, 31.270379], [14.094009, 15.204064, 15.615571, 19.437135, 33.961180], [21.077619, 23.230236, 23.232081, 23.927263, 99.628470], [24.442065, 24.742998, 24.918108, 29.221242, 141.463955], [18.675858, 19.170645, 25.779498, 28.452754, 63.751800], [30.073216, 31.030574, 33.515149, 36.381565, 205.492394], [25.191217, 26.976611, 27.400346, 27.934510, 147.444318], [26.638247, 27.719734, 28.087703, 36.092657, 270.368931], [17.232949, 18.921105, 19.262586, 20.155142, 98.008021], [14.556406, 14.726028, 18.028912, 18.844036, 18.864567], [11.305590, 11.719577, 12.162319, 15.019652, 42.754187], [19.634074, 19.687359, 21.412737, 25.502782, 51.744099]]
### 2
fourier: [[12.142100, 12.961526, 14.007261, 14.114797, 92.238075], [20.597238, 22.198765, 22.269335, 23.398392, 204.246969], [16.006824, 17.324562, 19.030093, 20.194342, 92.754971], [18.428257, 19.020722, 20.156398, 23.262213, 122.732087], [18.494096, 19.835553, 19.990054, 20.845524, 149.842341], [20.264214, 20.367034, 20.710595, 22.805842, 24.068743], [14.837219, 14.917225, 15.506991, 17.520349, 146.991426], [23.450398, 24.050059, 25.814973, 26.150466, 159.552528], [11.495526, 12.437036, 14.188851, 14.857021, 77.546433], [17.526605, 19.645184, 19.904525, 22.154503, 100.273092], [6.784639, 8.963949, 9.261350, 10.844232, 69.849300], [9.952429, 11.050456, 11.883459, 12.908607, 21.290662]]
### 4
fourier: [[5.733010, 5.861512, 6.751775, 7.921182, 64.669446], [21.550764, 23.486679, 24.865174, 25.415817, 170.038434], [12.769927, 13.119196, 15.347441, 16.121916, 77.591173], [11.373647, 11.377479, 11.682440, 14.002624, 24.833856], [10.311425, 10.339709, 11.285302, 11.696322, 18.210499], [14.324931, 14.812768, 15.086003, 15.943843, 66.376982], [24.036265, 25.119210, 26.727085, 27.680243, 141.891006], [7.085250, 7.363113, 7.877179, 9.233162, 9.347974], [17.083421, 17.192347, 17.765716, 18.868612, 106.321006], [17.124367, 17.664875, 18.307231, 19.223929, 183.172945], [8.393016, 8.556623, 9.549649, 11.054633, 46.970318], [15.586866, 16.386381, 18.420521, 18.730056, 85.686953]]
### 6
fourier: [[13.783961, 13.877502, 14.055710, 14.318527, 15.874485], [18.722051, 19.306695, 20.348899, 20.486987, 24.274357], [16.822462, 17.005317, 18.095567, 18.591870, 103.728594], [31.741816, 34.002212, 34.430609, 35.148824, 107.365628], [29.511347, 30.832872, 31.969568, 32.196785, 66.640015], [18.342271, 18.644390, 19.156269, 19.605305, 36.355481], [4.907414, 5.135100, 5.742666, 6.059182, 60.077333], [14.673213, 15.268046, 15.596318, 15.964944, 68.970414], [19.174341, 19.329889, 19.917187, 20.725424, 42.591417], [17.808805, 20.222088, 20.327254, 21.706472, 21.732035], [25.965902, 27.169219, 27.208614, 27.741057, 89.087208], [21.569831, 23.155213, 24.194377, 24.384084, 82.465573]]
### 8
fourier: [[42.338540, 45.355689, 46.020931, 46.956373, 152.382486], [17.064636, 17.616989, 19.038192, 19.790577, 68.475912], [16.287475, 18.402609, 18.660817, 19.090175, 25.198388], [17.902060, 19.130176, 19.887220, 20.790429, 21.124045], [21.742574, 24.153535, 24.457739, 25.848581, 29.444093], [19.655035, 20.770470, 21.418638, 21.666777, 38.464804], [17.029100, 18.255818, 18.957899, 19.042746, 64.188329], [22.164504, 23.586195, 24.788442, 27.360248, 30.446632], [30.092863, 30.400718, 32.141626, 32.471481, 103.759110], [21.374793, 21.690088, 23.849576, 24.111342, 71.933703], [19.963266, 20.299031, 22.218991, 23.042496, 24.782854], [16.038744, 17.983747, 18.172940, 19.152721, 21.754733]]
### 10
fourier: [[22.261987, 23.889801, 24.519583, 24.589454, 88.388172], [12.599739, 12.845266, 13.414866, 13.732926, 45.123362], [18.260882, 19.524808, 20.041090, 20.331032, 22.468780], [33.855500, 35.213864, 38.079674, 39.740165, 41.129968], [12.125491, 14.397784, 14.914322, 15.994242, 33.118752], [15.434868, 15.533921, 16.933749, 17.141916, 51.274032], [38.649651, 41.376174, 42.420623, 43.421154, 134.837575], [20.730152, 23.253284, 24.203164, 24.920034, 70.648636], [22.668516, 26.341787, 27.956850, 30.082198, 49.713405], [28.101627, 30.744656, 30.849697, 31.563126, 78.783520], [16.954856, 19.618777, 19.786969, 20.103127, 43.375215], [21.742542, 22.823647, 24.566252, 24.720676, 86.129356]]
### 12
fourier: [[21.534636, 23.150447, 23.895002, 24.439514, 74.640899], [30.817715, 31.314565, 34.373523, 35.188226, 133.909556], [26.543104, 27.412983, 28.744001, 29.346999, 113.007210], [23.162194, 25.327306, 26.178844, 26.851633, 65.870897], [35.682280, 35.788021, 39.067839, 39.890931, 157.125098], [17.810900, 18.446840, 20.061227, 20.409039, 67.973555], [9.360232, 10.061719, 10.544551, 10.630474, 64.988055], [31.927848, 34.074327, 35.553555, 36.542202, 109.811980], [19.909794, 19.987937, 21.008277, 21.122475, 146.067392], [23.292385, 26.656695, 27.557876, 27.690541, 68.348420], [11.649130, 12.939192, 13.719068, 13.955468, 16.117312], [20.157602, 22.726425, 23.102439, 23.801594, 59.712554]]
### 14
fourier: [[5.166983, 5.210984, 5.473420, 5.493741, 11.932200], [22.935683, 23.083905, 24.660212, 25.398934, 113.276196], [33.290423, 33.704968, 36.449100, 37.392804, 170.622622], [25.382864, 25.652115, 27.413678, 28.121807, 148.406938], [19.461417, 19.663479, 21.168944, 21.707443, 113.466534], [4.795764, 4.890353, 5.657242, 5.841588, 46.091352], [18.464894, 18.820773, 20.255850, 20.811655, 89.387220], [12.656232, 12.997081, 14.504130, 14.924612, 65.666473], [35.927805, 37.110127, 40.511745, 41.541845, 167.536466], [51.125825, 52.043326, 56.312255, 57.740722, 258.277505], [41.810781, 42.487515, 45.839650, 46.931412, 238.295426], [13.319440, 13.716239, 15.102616, 15.589763, 68.692879]]
### 16
fourier: [[51.432555, 51.665473, 55.167625, 57.120650, 287.116116]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.16.bias": [
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}
## Activation Signature
### 0
fourier: [[18.656494, 19.039783, 19.452634, 22.060668, 31.270379], [14.094009, 15.204064, 15.615571, 19.437135, 33.961180], [21.077619, 23.230236, 23.232081, 23.927263, 99.628470], [24.442065, 24.742998, 24.918108, 29.221242, 141.463955], [18.675858, 19.170645, 25.779498, 28.452754, 63.751800], [30.073216, 31.030574, 33.515149, 36.381565, 205.492394], [25.191217, 26.976611, 27.400346, 27.934510, 147.444318], [26.638247, 27.719734, 28.087703, 36.092657, 270.368931], [17.232949, 18.921105, 19.262586, 20.155142, 98.008021], [14.556406, 14.726028, 18.028912, 18.844036, 18.864567], [11.305590, 11.719577, 12.162319, 15.019652, 42.754187], [19.634074, 19.687359, 21.412737, 25.502782, 51.744099]]
### 2
fourier: [[12.142100, 12.961526, 14.007261, 14.114797, 92.238075], [20.597238, 22.198765, 22.269335, 23.398392, 204.246969], [16.006824, 17.324562, 19.030093, 20.194342, 92.754971], [18.428257, 19.020722, 20.156398, 23.262213, 122.732087], [18.494096, 19.835553, 19.990054, 20.845524, 149.842341], [20.264214, 20.367034, 20.710595, 22.805842, 24.068743], [14.837219, 14.917225, 15.506991, 17.520349, 146.991426], [23.450398, 24.050059, 25.814973, 26.150466, 159.552528], [11.495526, 12.437036, 14.188851, 14.857021, 77.546433], [17.526605, 19.645184, 19.904525, 22.154503, 100.273092], [6.784639, 8.963949, 9.261350, 10.844232, 69.849300], [9.952429, 11.050456, 11.883459, 12.908607, 21.290662]]
### 4
fourier: [[5.733010, 5.861512, 6.751775, 7.921182, 64.669446], [21.550764, 23.486679, 24.865174, 25.415817, 170.038434], [12.769927, 13.119196, 15.347441, 16.121916, 77.591173], [11.373647, 11.377479, 11.682440, 14.002624, 24.833856], [10.311425, 10.339709, 11.285302, 11.696322, 18.210499], [14.324931, 14.812768, 15.086003, 15.943843, 66.376982], [24.036265, 25.119210, 26.727085, 27.680243, 141.891006], [7.085250, 7.363113, 7.877179, 9.233162, 9.347974], [17.083421, 17.192347, 17.765716, 18.868612, 106.321006], [17.124367, 17.664875, 18.307231, 19.223929, 183.172945], [8.393016, 8.556623, 9.549649, 11.054633, 46.970318], [15.586866, 16.386381, 18.420521, 18.730056, 85.686953]]
### 6
fourier: [[13.783961, 13.877502, 14.055710, 14.318527, 15.874485], [18.722051, 19.306695, 20.348899, 20.486987, 24.274357], [16.822462, 17.005317, 18.095567, 18.591870, 103.728594], [31.741816, 34.002212, 34.430609, 35.148824, 107.365628], [29.511347, 30.832872, 31.969568, 32.196785, 66.640015], [18.342271, 18.644390, 19.156269, 19.605305, 36.355481], [4.907414, 5.135100, 5.742666, 6.059182, 60.077333], [14.673213, 15.268046, 15.596318, 15.964944, 68.970414], [19.174341, 19.329889, 19.917187, 20.725424, 42.591417], [17.808805, 20.222088, 20.327254, 21.706472, 21.732035], [25.965902, 27.169219, 27.208614, 27.741057, 89.087208], [21.569831, 23.155213, 24.194377, 24.384084, 82.465573]]
### 8
fourier: [[42.338540, 45.355689, 46.020931, 46.956373, 152.382486], [17.064636, 17.616989, 19.038192, 19.790577, 68.475912], [16.287475, 18.402609, 18.660817, 19.090175, 25.198388], [17.902060, 19.130176, 19.887220, 20.790429, 21.124045], [21.742574, 24.153535, 24.457739, 25.848581, 29.444093], [19.655035, 20.770470, 21.418638, 21.666777, 38.464804], [17.029100, 18.255818, 18.957899, 19.042746, 64.188329], [22.164504, 23.586195, 24.788442, 27.360248, 30.446632], [30.092863, 30.400718, 32.141626, 32.471481, 103.759110], [21.374793, 21.690088, 23.849576, 24.111342, 71.933703], [19.963266, 20.299031, 22.218991, 23.042496, 24.782854], [16.038744, 17.983747, 18.172940, 19.152721, 21.754733]]
### 10
fourier: [[22.261987, 23.889801, 24.519583, 24.589454, 88.388172], [12.599739, 12.845266, 13.414866, 13.732926, 45.123362], [18.260882, 19.524808, 20.041090, 20.331032, 22.468780], [33.855500, 35.213864, 38.079674, 39.740165, 41.129968], [12.125491, 14.397784, 14.914322, 15.994242, 33.118752], [15.434868, 15.533921, 16.933749, 17.141916, 51.274032], [38.649651, 41.376174, 42.420623, 43.421154, 134.837575], [20.730152, 23.253284, 24.203164, 24.920034, 70.648636], [22.668516, 26.341787, 27.956850, 30.082198, 49.713405], [28.101627, 30.744656, 30.849697, 31.563126, 78.783520], [16.954856, 19.618777, 19.786969, 20.103127, 43.375215], [21.742542, 22.823647, 24.566252, 24.720676, 86.129356]]
### 12
fourier: [[21.534636, 23.150447, 23.895002, 24.439514, 74.640899], [30.817715, 31.314565, 34.373523, 35.188226, 133.909556], [26.543104, 27.412983, 28.744001, 29.346999, 113.007210], [23.162194, 25.327306, 26.178844, 26.851633, 65.870897], [35.682280, 35.788021, 39.067839, 39.890931, 157.125098], [17.810900, 18.446840, 20.061227, 20.409039, 67.973555], [9.360232, 10.061719, 10.544551, 10.630474, 64.988055], [31.927848, 34.074327, 35.553555, 36.542202, 109.811980], [19.909794, 19.987937, 21.008277, 21.122475, 146.067392], [23.292385, 26.656695, 27.557876, 27.690541, 68.348420], [11.649130, 12.939192, 13.719068, 13.955468, 16.117312], [20.157602, 22.726425, 23.102439, 23.801594, 59.712554]]
### 14
fourier: [[5.166983, 5.210984, 5.473420, 5.493741, 11.932200], [22.935683, 23.083905, 24.660212, 25.398934, 113.276196], [33.290423, 33.704968, 36.449100, 37.392804, 170.622622], [25.382864, 25.652115, 27.413678, 28.121807, 148.406938], [19.461417, 19.663479, 21.168944, 21.707443, 113.466534], [4.795764, 4.890353, 5.657242, 5.841588, 46.091352], [18.464894, 18.820773, 20.255850, 20.811655, 89.387220], [12.656232, 12.997081, 14.504130, 14.924612, 65.666473], [35.927805, 37.110127, 40.511745, 41.541845, 167.536466], [51.125825, 52.043326, 56.312255, 57.740722, 258.277505], [41.810781, 42.487515, 45.839650, 46.931412, 238.295426], [13.319440, 13.716239, 15.102616, 15.589763, 68.692879]]
### 16
fourier: [[51.432555, 51.665473, 55.167625, 57.120650, 287.116116]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6911095082759857, "train_acc": 0.57, "val_loss": 0.6970446109771729, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6835242509841919, "train_acc": 0.57, "val_loss": 0.7005934715270996, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6831558048725128, "train_acc": 0.57, "val_loss": 0.7014685869216919, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6793009042739868, "train_acc": 0.57, "val_loss": 0.6796482801437378, "val_acc": 0.48}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6339357793331146, "train_acc": 0.57, "val_loss": 0.5882832407951355, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5241352319717407, "train_acc": 0.505, "val_loss": 0.4324299991130829, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.42372728884220123, "train_acc": 0.67, "val_loss": 0.36390793323516846, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.35032428801059723, "train_acc": 0.925, "val_loss": 0.2794492244720459, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.24263285845518112, "train_acc": 0.915, "val_loss": 0.20219917595386505, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.24398685991764069, "train_acc": 0.915, "val_loss": 0.15007811784744263, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.23067433387041092, "train_acc": 0.93, "val_loss": 0.27184680104255676, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.44417911767959595, "train_acc": 0.92, "val_loss": 0.14544150233268738, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.24525679647922516, "train_acc": 0.92, "val_loss": 0.20545579493045807, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.25863371789455414, "train_acc": 0.9, "val_loss": 0.26817256212234497, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.2895985022187233, "train_acc": 0.895, "val_loss": 0.3021596372127533, "val_acc": 0.86}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6970446109771729, "final_val_loss": 0.5882832407951355, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.4324299991130829, "final_val_loss": 0.3021596372127533, "initial_val_acc": 0.48, "final_val_acc": 0.86, "best_val_acc": 0.96, "best_epoch": 6}, "improvement": 0.48, "first_improvement_epoch": 4}}
|
73
|
{"target_pattern": "alternating", "degraded_accuracy": 0.66, "improved_accuracy": 0.84, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 9, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8736, "learning_rate": 0.08073496747622153, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[47.384585, 51.455057, 54.019831, 57.470507, 323.413635], [25.348439, 26.337755, 30.321815, 32.912771, 81.748090], [44.095666, 44.886688, 48.350083, 52.621402, 377.997568], [48.962023, 58.990040, 59.413652, 67.338721, 557.767923], [27.953520, 28.424935, 30.892356, 31.059764, 155.061171], [35.929403, 37.999910, 43.730581, 45.621342, 404.955647], [20.425348, 22.068423, 23.942259, 24.193305, 66.759368], [22.804285, 22.914048, 24.532013, 24.766250, 107.360761], [27.936472, 30.852105, 31.727568, 32.689997, 147.049394]]
### 2
fourier: [[19.793631, 22.242183, 22.908706, 23.008022, 137.139840], [10.694185, 11.564563, 11.896443, 11.914677, 25.123875], [39.959972, 40.174256, 50.795681, 51.327684, 163.396657], [14.559560, 15.786628, 16.072921, 17.514844, 21.036234], [28.367588, 29.721461, 33.269014, 33.855121, 214.580746], [38.510556, 38.774674, 39.297239, 45.329726, 269.179747], [67.113159, 69.413114, 70.983530, 80.023166, 531.527903], [52.605184, 52.940925, 55.311169, 60.472829, 399.862161], [48.001109, 51.208100, 57.512517, 60.196473, 239.149176]]
### 4
fourier: [[59.619565, 59.861028, 71.785728, 76.871281, 296.094416], [83.356341, 92.680143, 92.824855, 104.382386, 675.677670], [46.154788, 46.300724, 46.328522, 48.628504, 235.705106], [80.894735, 83.297168, 85.555571, 98.454498, 603.317099], [60.723748, 65.257701, 68.475863, 68.976601, 484.102488], [57.126812, 59.038427, 63.649247, 67.811262, 406.240954], [39.408382, 39.922594, 42.061852, 46.305604, 263.382391], [59.750458, 79.924420, 83.080889, 86.268981, 101.009977], [54.620191, 58.441196, 61.301437, 62.938947, 394.355477]]
### 6
fourier: [[74.823057, 75.484012, 81.981945, 88.702820, 594.300473], [56.476271, 59.860574, 64.414366, 65.528784, 259.659067], [101.791025, 104.463753, 112.940418, 113.010301, 728.420327], [56.391704, 58.003324, 61.724452, 66.971303, 452.387033], [43.499391, 43.881368, 46.468035, 51.096994, 398.408848], [59.661658, 60.216201, 65.021345, 69.531071, 399.907841], [51.530675, 51.551573, 53.084980, 60.592701, 388.429359], [91.039678, 92.076759, 102.008374, 102.390408, 635.312851], [47.474702, 47.971846, 58.146124, 65.669757, 300.042654]]
### 8
fourier: [[23.825466, 26.244674, 26.291466, 27.545485, 126.077071], [35.833900, 37.510696, 45.406611, 49.331673, 233.311250], [53.839737, 54.369821, 59.356590, 62.395372, 340.397815], [48.788848, 50.439313, 56.113902, 56.398020, 390.885274], [45.502523, 46.840164, 47.223034, 51.345666, 214.531741], [25.202848, 25.845853, 31.670288, 34.376493, 93.731223], [18.427995, 21.933972, 25.292681, 25.854584, 26.247163], [37.778136, 46.015392, 53.131438, 53.460864, 63.268620], [20.317292, 21.568006, 23.033092, 24.304291, 29.133081]]
### 10
fourier: [[46.137468, 47.415069, 49.550182, 51.020283, 355.831623], [86.042214, 87.515241, 88.705498, 98.784059, 248.794101], [18.592905, 20.173255, 22.262190, 23.245332, 59.433707], [13.129093, 13.408087, 14.063488, 15.233383, 31.498604], [27.011616, 27.287330, 29.501202, 32.177820, 214.412909], [15.666278, 16.170462, 17.116511, 18.903212, 49.894432], [21.492968, 28.597162, 30.311002, 32.158847, 97.154551], [14.482538, 14.672517, 16.194025, 16.790766, 97.467817], [7.513028, 8.121640, 9.025204, 9.084429, 13.216191]]
### 12
fourier: [[62.949366, 64.108067, 69.319727, 73.628876, 260.269239]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[47.384585, 51.455057, 54.019831, 57.470507, 323.413635], [25.348439, 26.337755, 30.321815, 32.912771, 81.748090], [44.095666, 44.886688, 48.350083, 52.621402, 377.997568], [48.962023, 58.990040, 59.413652, 67.338721, 557.767923], [27.953520, 28.424935, 30.892356, 31.059764, 155.061171], [35.929403, 37.999910, 43.730581, 45.621342, 404.955647], [20.425348, 22.068423, 23.942259, 24.193305, 66.759368], [22.804285, 22.914048, 24.532013, 24.766250, 107.360761], [27.936472, 30.852105, 31.727568, 32.689997, 147.049394]]
### 2
fourier: [[19.793631, 22.242183, 22.908706, 23.008022, 137.139840], [10.694185, 11.564563, 11.896443, 11.914677, 25.123875], [39.959972, 40.174256, 50.795681, 51.327684, 163.396657], [14.559560, 15.786628, 16.072921, 17.514844, 21.036234], [28.367588, 29.721461, 33.269014, 33.855121, 214.580746], [38.510556, 38.774674, 39.297239, 45.329726, 269.179747], [67.113159, 69.413114, 70.983530, 80.023166, 531.527903], [52.605184, 52.940925, 55.311169, 60.472829, 399.862161], [48.001109, 51.208100, 57.512517, 60.196473, 239.149176]]
### 4
fourier: [[59.619565, 59.861028, 71.785728, 76.871281, 296.094416], [83.356341, 92.680143, 92.824855, 104.382386, 675.677670], [46.154788, 46.300724, 46.328522, 48.628504, 235.705106], [80.894735, 83.297168, 85.555571, 98.454498, 603.317099], [60.723748, 65.257701, 68.475863, 68.976601, 484.102488], [57.126812, 59.038427, 63.649247, 67.811262, 406.240954], [39.408382, 39.922594, 42.061852, 46.305604, 263.382391], [59.750458, 79.924420, 83.080889, 86.268981, 101.009977], [54.620191, 58.441196, 61.301437, 62.938947, 394.355477]]
### 6
fourier: [[74.823057, 75.484012, 81.981945, 88.702820, 594.300473], [56.476271, 59.860574, 64.414366, 65.528784, 259.659067], [101.791025, 104.463753, 112.940418, 113.010301, 728.420327], [56.391704, 58.003324, 61.724452, 66.971303, 452.387033], [43.499391, 43.881368, 46.468035, 51.096994, 398.408848], [59.661658, 60.216201, 65.021345, 69.531071, 399.907841], [51.530675, 51.551573, 53.084980, 60.592701, 388.429359], [91.039678, 92.076759, 102.008374, 102.390408, 635.312851], [47.474702, 47.971846, 58.146124, 65.669757, 300.042654]]
### 8
fourier: [[23.825466, 26.244674, 26.291466, 27.545485, 126.077071], [35.833900, 37.510696, 45.406611, 49.331673, 233.311250], [53.839737, 54.369821, 59.356590, 62.395372, 340.397815], [48.788848, 50.439313, 56.113902, 56.398020, 390.885274], [45.502523, 46.840164, 47.223034, 51.345666, 214.531741], [25.202848, 25.845853, 31.670288, 34.376493, 93.731223], [18.427995, 21.933972, 25.292681, 25.854584, 26.247163], [37.778136, 46.015392, 53.131438, 53.460864, 63.268620], [20.317292, 21.568006, 23.033092, 24.304291, 29.133081]]
### 10
fourier: [[46.137468, 47.415069, 49.550182, 51.020283, 355.831623], [86.042214, 87.515241, 88.705498, 98.784059, 248.794101], [18.592905, 20.173255, 22.262190, 23.245332, 59.433707], [13.129093, 13.408087, 14.063488, 15.233383, 31.498604], [27.011616, 27.287330, 29.501202, 32.177820, 214.412909], [15.666278, 16.170462, 17.116511, 18.903212, 49.894432], [21.492968, 28.597162, 30.311002, 32.158847, 97.154551], [14.482538, 14.672517, 16.194025, 16.790766, 97.467817], [7.513028, 8.121640, 9.025204, 9.084429, 13.216191]]
### 12
fourier: [[62.949366, 64.108067, 69.319727, 73.628876, 260.269239]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6915476322174072, "train_acc": 0.56, "val_loss": 0.7116734385490417, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6818802654743195, "train_acc": 0.56, "val_loss": 0.6972877383232117, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6515665054321289, "train_acc": 0.65, "val_loss": 0.6047088503837585, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.7963976860046387, "train_acc": 0.67, "val_loss": 0.7126817107200623, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6572118401527405, "train_acc": 0.585, "val_loss": 0.6553570628166199, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6021010279655457, "train_acc": 0.55, "val_loss": 0.6428391337394714, "val_acc": 0.52}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5494861006736755, "train_acc": 0.68, "val_loss": 0.5185199975967407, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4778205156326294, "train_acc": 0.84, "val_loss": 0.4765242040157318, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.5094975978136063, "train_acc": 0.805, "val_loss": 0.40121641755104065, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.44451260566711426, "train_acc": 0.8, "val_loss": 0.40842849016189575, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4584725797176361, "train_acc": 0.83, "val_loss": 0.40398886799812317, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.34815479815006256, "train_acc": 0.845, "val_loss": 0.4017137289047241, "val_acc": 0.82}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7116734385490417, "final_val_loss": 0.6047088503837585, "initial_val_acc": 0.48, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.7126817107200623, "final_val_loss": 0.4017137289047241, "initial_val_acc": 0.48, "final_val_acc": 0.82, "best_val_acc": 0.84, "best_epoch": 9}, "improvement": 0.17999999999999994, "first_improvement_epoch": 2}}
|
74
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.4, "improved_accuracy": 0.7, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 9, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8497, "learning_rate": 0.09416931889116947, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 9
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[16.675070, 16.997125, 18.728389, 22.467648, 84.540285], [38.530244, 52.765229, 53.717999, 58.140202, 316.622834], [29.588049, 30.231617, 30.692219, 30.988861, 33.622631], [13.143064, 15.971987, 18.900243, 20.614316, 89.532445], [23.446927, 24.041025, 24.544654, 36.910631, 53.355041], [32.941740, 33.035829, 38.818971, 46.516264, 214.101558], [38.078207, 40.050587, 43.838619, 47.137905, 347.826846], [39.969393, 40.619239, 41.992620, 44.319597, 58.309700], [41.650208, 42.334696, 44.458783, 51.727849, 406.601920]]
### 2
fourier: [[23.958559, 24.298062, 24.749428, 25.251605, 135.523306], [23.693217, 24.571914, 25.141860, 31.012284, 208.099690], [30.137612, 30.936315, 32.241970, 37.072360, 72.491779], [25.897694, 29.215893, 30.254801, 31.769983, 298.649114], [14.637026, 15.822346, 16.139300, 18.732055, 176.574499], [25.568183, 25.865460, 26.300709, 27.724534, 342.447050], [25.607139, 26.039019, 28.664194, 29.158435, 35.156211], [19.944616, 21.545232, 24.278596, 25.436957, 59.862012], [24.697988, 25.049696, 25.584749, 27.618444, 311.502107]]
### 4
fourier: [[17.807456, 19.168651, 19.814925, 20.882349, 121.371219], [19.412904, 20.371418, 21.384691, 22.095109, 220.433765], [19.033869, 19.399347, 19.958776, 20.937004, 21.536226], [23.445743, 24.126221, 28.532820, 30.294255, 120.475894], [31.691934, 33.608329, 34.192838, 34.580286, 72.219681], [15.762443, 16.799329, 17.894679, 18.064934, 164.148493], [18.160936, 18.351196, 20.440732, 21.292809, 71.612231], [12.205204, 12.803090, 13.128029, 14.334184, 185.255257], [29.694212, 32.687802, 34.598428, 35.751718, 250.627427]]
### 6
fourier: [[3.271530, 3.806487, 4.026405, 4.223817, 51.806085], [19.583651, 20.363502, 21.828909, 24.118100, 47.517681], [27.393434, 27.735627, 29.263675, 31.330832, 226.546187], [18.178470, 18.352552, 18.423394, 20.287258, 156.597794], [21.321862, 21.743156, 23.477698, 24.374043, 173.376933], [18.409348, 20.892267, 21.198044, 21.217586, 103.355134], [14.419302, 15.930091, 15.996913, 16.499451, 99.725662], [11.517258, 11.537728, 13.083974, 14.377093, 20.945179], [7.993843, 8.475791, 8.985760, 9.004269, 121.174184]]
### 8
fourier: [[22.676264, 23.126559, 24.801853, 25.413701, 147.170524], [1.549644, 1.822197, 1.871965, 2.017165, 31.845066], [6.696752, 6.803092, 6.949994, 7.792079, 113.616751], [9.435204, 9.497835, 9.503207, 10.647351, 98.992946], [15.012087, 16.125142, 17.244869, 17.334535, 73.424004], [20.866891, 22.541585, 23.621696, 23.838905, 105.659660], [6.365247, 6.632244, 6.681719, 7.590319, 93.157898], [25.197788, 26.823120, 27.594326, 30.462735, 292.183568], [16.687261, 16.876165, 16.956507, 18.837029, 19.695822]]
### 10
fourier: [[12.169290, 12.980926, 13.700165, 13.921637, 51.129569], [11.442262, 11.462330, 11.697534, 12.873564, 142.739357], [14.544303, 14.987228, 15.721200, 16.466543, 42.729098], [14.441402, 15.550721, 15.900302, 16.358071, 95.109099], [10.267866, 10.326611, 10.575851, 11.666063, 122.831907], [7.142767, 7.205869, 7.526252, 8.114119, 97.766283], [8.828653, 9.896267, 10.147891, 10.418306, 130.555811], [2.155731, 2.296987, 2.321884, 2.559723, 49.264738], [16.117408, 16.683731, 16.962171, 18.461903, 173.854820]]
### 12
fourier: [[4.136806, 4.194286, 4.634500, 5.146829, 6.843048], [1.471939, 1.553051, 1.910888, 2.029946, 7.229885], [1.830721, 1.833484, 1.992146, 2.027953, 54.114171], [0.646779, 0.685791, 0.841605, 0.911131, 11.030027], [1.897737, 2.221122, 2.272254, 2.295282, 38.623599], [3.648146, 3.937876, 4.062921, 4.116570, 66.901735], [2.924561, 2.974457, 3.194645, 3.202886, 40.193804], [1.528714, 1.628807, 1.651049, 1.709827, 43.989415], [5.017937, 5.481768, 5.499599, 5.723657, 6.181335]]
### 14
fourier: [[0.566926, 0.578196, 0.669548, 0.754140, 38.847131], [1.052921, 1.101817, 1.309441, 1.412909, 25.285608], [0.119559, 0.120796, 0.121000, 0.160585, 18.115789], [0.598067, 0.620469, 0.733078, 0.801830, 28.003672], [1.646747, 1.657775, 1.901212, 2.162231, 7.871644], [1.907520, 1.956059, 2.336335, 2.550532, 24.157122], [0.410632, 0.448924, 0.459940, 0.547291, 35.758340], [0.067184, 0.067739, 0.068872, 0.083728, 31.509981], [0.894025, 0.897746, 1.043898, 1.178195, 32.313510]]
### 16
fourier: [[0.254274, 0.268340, 0.278205, 0.302251, 7.880380]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 9
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[16.675070, 16.997125, 18.728389, 22.467648, 84.540285], [38.530244, 52.765229, 53.717999, 58.140202, 316.622834], [29.588049, 30.231617, 30.692219, 30.988861, 33.622631], [13.143064, 15.971987, 18.900243, 20.614316, 89.532445], [23.446927, 24.041025, 24.544654, 36.910631, 53.355041], [32.941740, 33.035829, 38.818971, 46.516264, 214.101558], [38.078207, 40.050587, 43.838619, 47.137905, 347.826846], [39.969393, 40.619239, 41.992620, 44.319597, 58.309700], [41.650208, 42.334696, 44.458783, 51.727849, 406.601920]]
### 2
fourier: [[23.958559, 24.298062, 24.749428, 25.251605, 135.523306], [23.693217, 24.571914, 25.141860, 31.012284, 208.099690], [30.137612, 30.936315, 32.241970, 37.072360, 72.491779], [25.897694, 29.215893, 30.254801, 31.769983, 298.649114], [14.637026, 15.822346, 16.139300, 18.732055, 176.574499], [25.568183, 25.865460, 26.300709, 27.724534, 342.447050], [25.607139, 26.039019, 28.664194, 29.158435, 35.156211], [19.944616, 21.545232, 24.278596, 25.436957, 59.862012], [24.697988, 25.049696, 25.584749, 27.618444, 311.502107]]
### 4
fourier: [[17.807456, 19.168651, 19.814925, 20.882349, 121.371219], [19.412904, 20.371418, 21.384691, 22.095109, 220.433765], [19.033869, 19.399347, 19.958776, 20.937004, 21.536226], [23.445743, 24.126221, 28.532820, 30.294255, 120.475894], [31.691934, 33.608329, 34.192838, 34.580286, 72.219681], [15.762443, 16.799329, 17.894679, 18.064934, 164.148493], [18.160936, 18.351196, 20.440732, 21.292809, 71.612231], [12.205204, 12.803090, 13.128029, 14.334184, 185.255257], [29.694212, 32.687802, 34.598428, 35.751718, 250.627427]]
### 6
fourier: [[3.271530, 3.806487, 4.026405, 4.223817, 51.806085], [19.583651, 20.363502, 21.828909, 24.118100, 47.517681], [27.393434, 27.735627, 29.263675, 31.330832, 226.546187], [18.178470, 18.352552, 18.423394, 20.287258, 156.597794], [21.321862, 21.743156, 23.477698, 24.374043, 173.376933], [18.409348, 20.892267, 21.198044, 21.217586, 103.355134], [14.419302, 15.930091, 15.996913, 16.499451, 99.725662], [11.517258, 11.537728, 13.083974, 14.377093, 20.945179], [7.993843, 8.475791, 8.985760, 9.004269, 121.174184]]
### 8
fourier: [[22.676264, 23.126559, 24.801853, 25.413701, 147.170524], [1.549644, 1.822197, 1.871965, 2.017165, 31.845066], [6.696752, 6.803092, 6.949994, 7.792079, 113.616751], [9.435204, 9.497835, 9.503207, 10.647351, 98.992946], [15.012087, 16.125142, 17.244869, 17.334535, 73.424004], [20.866891, 22.541585, 23.621696, 23.838905, 105.659660], [6.365247, 6.632244, 6.681719, 7.590319, 93.157898], [25.197788, 26.823120, 27.594326, 30.462735, 292.183568], [16.687261, 16.876165, 16.956507, 18.837029, 19.695822]]
### 10
fourier: [[12.169290, 12.980926, 13.700165, 13.921637, 51.129569], [11.442262, 11.462330, 11.697534, 12.873564, 142.739357], [14.544303, 14.987228, 15.721200, 16.466543, 42.729098], [14.441402, 15.550721, 15.900302, 16.358071, 95.109099], [10.267866, 10.326611, 10.575851, 11.666063, 122.831907], [7.142767, 7.205869, 7.526252, 8.114119, 97.766283], [8.828653, 9.896267, 10.147891, 10.418306, 130.555811], [2.155731, 2.296987, 2.321884, 2.559723, 49.264738], [16.117408, 16.683731, 16.962171, 18.461903, 173.854820]]
### 12
fourier: [[4.136806, 4.194286, 4.634500, 5.146829, 6.843048], [1.471939, 1.553051, 1.910888, 2.029946, 7.229885], [1.830721, 1.833484, 1.992146, 2.027953, 54.114171], [0.646779, 0.685791, 0.841605, 0.911131, 11.030027], [1.897737, 2.221122, 2.272254, 2.295282, 38.623599], [3.648146, 3.937876, 4.062921, 4.116570, 66.901735], [2.924561, 2.974457, 3.194645, 3.202886, 40.193804], [1.528714, 1.628807, 1.651049, 1.709827, 43.989415], [5.017937, 5.481768, 5.499599, 5.723657, 6.181335]]
### 14
fourier: [[0.566926, 0.578196, 0.669548, 0.754140, 38.847131], [1.052921, 1.101817, 1.309441, 1.412909, 25.285608], [0.119559, 0.120796, 0.121000, 0.160585, 18.115789], [0.598067, 0.620469, 0.733078, 0.801830, 28.003672], [1.646747, 1.657775, 1.901212, 2.162231, 7.871644], [1.907520, 1.956059, 2.336335, 2.550532, 24.157122], [0.410632, 0.448924, 0.459940, 0.547291, 35.758340], [0.067184, 0.067739, 0.068872, 0.083728, 31.509981], [0.894025, 0.897746, 1.043898, 1.178195, 32.313510]]
### 16
fourier: [[0.254274, 0.268340, 0.278205, 0.302251, 7.880380]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 9, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.349829, 0.289658, 0.175484, 0.371865, 0.043417], [-0.71812, 0.171776, 0.006683, -0.606487, -0.945147], [0.22495, 0.581695, -0.185162, -0.747269, 0.675547], [-0.134136, -0.198817, 0.383936, 0.326158, 0.034304], [0.240239, -0.354972, -0.41472, 0.507855, -0.569268], [-0.809329, 0.532109, 0.266757, 0.546548, 0.470795], [-0.571437, -0.124541, -0.065301, -0.622214, -0.579915], [0.224742, 0.224029, 0.64837, -0.867083, -0.425555], [-0.13095, -0.659824, -0.520041, -0.333097, -0.642435]], "network.0.bias": [-0.370699, -0.485087, 0.049409, -0.019718, 0.234374, 0.106537, -0.740739, 0.989864, -0.559541], "network.2.weight": [[0.155422, -0.079453, 0.111685, 0.452575, 0.621752, -0.420021, 0.170684, 0.775638, 0.287609], [-0.08477, 0.599512, 0.693136, 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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6653410196304321, "train_acc": 0.605, "val_loss": 0.7899832129478455, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.664596289396286, "train_acc": 0.605, "val_loss": 0.8131868243217468, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6694901287555695, "train_acc": 0.605, "val_loss": 0.7590377926826477, "val_acc": 0.4}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6639150083065033, "train_acc": 0.605, "val_loss": 0.7514428496360779, "val_acc": 0.4}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6742116808891296, "train_acc": 0.605, "val_loss": 0.7276370525360107, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6755785644054413, "train_acc": 0.525, "val_loss": 0.8127381801605225, "val_acc": 0.4}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.7413113117218018, "train_acc": 0.555, "val_loss": 0.6732833981513977, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6958308219909668, "train_acc": 0.52, "val_loss": 0.6799213886260986, "val_acc": 0.6}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.6989159882068634, "train_acc": 0.475, "val_loss": 0.679575502872467, "val_acc": 0.6}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.7020529210567474, "train_acc": 0.475, "val_loss": 0.6811631917953491, "val_acc": 0.6}], "summary": {"total_epochs": 10, "degraded_epochs": 5, "improved_epochs": 5, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7899832129478455, "final_val_loss": 0.7276370525360107, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.8127381801605225, "final_val_loss": 0.6811631917953491, "initial_val_acc": 0.4, "final_val_acc": 0.6, "best_val_acc": 0.7, "best_epoch": 6}, "improvement": 0.29999999999999993, "first_improvement_epoch": 4}}
|
75
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.6, "improved_accuracy": 0.94, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8766, "learning_rate": 0.019359730823269184, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
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"network.0.bias": [
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"network.2.weight": [
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## Activation Signature
### 0
fourier: [[16.518609, 16.708198, 17.239470, 17.605852, 165.358388], [24.317757, 25.819628, 29.075142, 29.081164, 167.254624], [21.681419, 22.876169, 24.270732, 28.260333, 232.435161], [21.863527, 22.383857, 22.835678, 24.437761, 149.146987], [25.849254, 27.227818, 27.228204, 35.293423, 99.259139], [19.428077, 20.130488, 20.438421, 22.574401, 23.002049], [29.021790, 29.610075, 30.330663, 33.891877, 142.582623], [14.599033, 14.628221, 14.734616, 14.977234, 15.183884], [28.581251, 30.124331, 30.633177, 31.391388, 160.034551], [19.001691, 19.838375, 20.337978, 23.345708, 144.316366]]
### 2
fourier: [[11.884579, 12.319934, 14.909902, 16.172756, 160.795559], [23.477357, 24.100539, 26.004119, 28.866293, 234.355639], [9.125148, 10.326992, 10.681000, 10.810502, 94.945686], [23.478095, 23.912961, 24.677154, 26.585192, 49.354489], [26.692839, 27.026988, 28.028951, 30.274067, 100.558482], [16.810787, 17.686955, 18.122086, 20.518351, 152.271719], [11.525945, 11.992409, 13.320121, 13.979309, 74.656698], [4.310949, 4.711793, 4.721430, 4.749422, 48.377714], [18.714026, 19.117624, 19.696879, 20.573909, 81.890295], [15.101887, 16.409724, 16.921731, 18.748840, 120.567316]]
### 4
fourier: [[14.550548, 15.086454, 16.746848, 20.328611, 157.200501], [10.041310, 10.044868, 10.665520, 11.788758, 113.314832], [3.862448, 3.952957, 4.067855, 4.691971, 72.429427], [12.782783, 13.043664, 14.081995, 14.211376, 112.651720], [2.793988, 3.130697, 3.174142, 3.400210, 39.739203], [2.071749, 2.079239, 2.139755, 2.290674, 27.392786], [6.013071, 6.293906, 7.390933, 8.499794, 74.796601], [11.512640, 13.344097, 14.109329, 15.496897, 47.434220], [37.391608, 38.227954, 41.946074, 42.637466, 78.083827], [7.890298, 8.026040, 8.588997, 9.817709, 106.228308]]
### 6
fourier: [[1.169352, 1.259817, 1.390625, 1.652820, 1.660165], [1.563963, 1.585105, 1.597289, 2.023504, 28.067793], [15.305069, 16.626308, 17.723144, 19.113369, 22.470103], [11.446794, 11.997800, 12.024936, 12.036303, 63.542879], [6.100333, 6.739837, 6.749126, 7.926572, 53.552773], [16.196365, 16.242172, 17.601237, 18.608237, 167.399006], [6.891381, 7.385098, 8.006057, 8.459947, 19.281749], [11.160675, 11.640064, 15.056952, 15.877948, 138.218827], [16.750175, 17.687100, 18.425896, 18.864986, 40.920282], [14.323320, 14.720971, 15.712618, 17.229051, 19.167254]]
### 8
fourier: [[13.314940, 14.439221, 16.068120, 18.148495, 61.077313], [14.865296, 17.820150, 19.726318, 21.836618, 152.749100], [9.754540, 10.500459, 11.561525, 13.135062, 55.779627], [9.601389, 9.621855, 9.895819, 10.017700, 34.309218], [10.307303, 10.399383, 10.517895, 10.865180, 48.728187], [3.955033, 4.862357, 5.190147, 6.018896, 38.610926], [0.700152, 0.773772, 0.832722, 0.966767, 7.276561], [9.268729, 9.298313, 9.894832, 10.017501, 89.334199], [4.248510, 4.293916, 4.457710, 4.900482, 62.869193], [4.501343, 4.645332, 4.900743, 5.033459, 60.865149]]
### 10
fourier: [[10.375122, 10.620666, 12.586664, 13.214355, 79.629189], [7.581084, 8.708034, 9.480822, 9.582396, 101.709012], [1.779675, 1.839122, 1.890762, 2.015312, 49.276224], [5.557605, 6.066452, 6.644292, 7.172031, 59.737965], [8.478531, 8.541444, 10.260306, 10.911698, 37.174671], [12.714492, 14.757424, 15.181054, 16.930805, 121.687870], [9.898143, 10.822084, 11.833300, 13.092274, 87.677040], [1.795220, 1.880910, 2.105173, 2.131483, 13.457486], [7.943466, 9.282411, 10.203928, 10.285282, 111.713750], [1.650698, 1.869792, 1.994119, 2.358652, 34.949987]]
### 12
fourier: [[0.396372, 0.427994, 0.455672, 0.471088, 13.097417], [4.837130, 5.147534, 5.557993, 5.775885, 74.901628], [14.923693, 16.675740, 17.579910, 18.910218, 170.328888], [2.611610, 2.647820, 2.881427, 3.029526, 3.447355], [2.934667, 3.079600, 3.557830, 3.921235, 9.907703], [1.159657, 1.203107, 1.227372, 1.253170, 10.994078], [8.338932, 8.965005, 9.745700, 10.311794, 83.947223], [0.936165, 0.974738, 1.018803, 1.024568, 17.559217], [2.866834, 3.356117, 3.795232, 4.058367, 51.692525], [15.866837, 17.973162, 18.886176, 20.470751, 174.975225]]
### 14
fourier: [[12.515158, 13.967429, 14.945174, 16.132833, 102.238844]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[16.518609, 16.708198, 17.239470, 17.605852, 165.358388], [24.317757, 25.819628, 29.075142, 29.081164, 167.254624], [21.681419, 22.876169, 24.270732, 28.260333, 232.435161], [21.863527, 22.383857, 22.835678, 24.437761, 149.146987], [25.849254, 27.227818, 27.228204, 35.293423, 99.259139], [19.428077, 20.130488, 20.438421, 22.574401, 23.002049], [29.021790, 29.610075, 30.330663, 33.891877, 142.582623], [14.599033, 14.628221, 14.734616, 14.977234, 15.183884], [28.581251, 30.124331, 30.633177, 31.391388, 160.034551], [19.001691, 19.838375, 20.337978, 23.345708, 144.316366]]
### 2
fourier: [[11.884579, 12.319934, 14.909902, 16.172756, 160.795559], [23.477357, 24.100539, 26.004119, 28.866293, 234.355639], [9.125148, 10.326992, 10.681000, 10.810502, 94.945686], [23.478095, 23.912961, 24.677154, 26.585192, 49.354489], [26.692839, 27.026988, 28.028951, 30.274067, 100.558482], [16.810787, 17.686955, 18.122086, 20.518351, 152.271719], [11.525945, 11.992409, 13.320121, 13.979309, 74.656698], [4.310949, 4.711793, 4.721430, 4.749422, 48.377714], [18.714026, 19.117624, 19.696879, 20.573909, 81.890295], [15.101887, 16.409724, 16.921731, 18.748840, 120.567316]]
### 4
fourier: [[14.550548, 15.086454, 16.746848, 20.328611, 157.200501], [10.041310, 10.044868, 10.665520, 11.788758, 113.314832], [3.862448, 3.952957, 4.067855, 4.691971, 72.429427], [12.782783, 13.043664, 14.081995, 14.211376, 112.651720], [2.793988, 3.130697, 3.174142, 3.400210, 39.739203], [2.071749, 2.079239, 2.139755, 2.290674, 27.392786], [6.013071, 6.293906, 7.390933, 8.499794, 74.796601], [11.512640, 13.344097, 14.109329, 15.496897, 47.434220], [37.391608, 38.227954, 41.946074, 42.637466, 78.083827], [7.890298, 8.026040, 8.588997, 9.817709, 106.228308]]
### 6
fourier: [[1.169352, 1.259817, 1.390625, 1.652820, 1.660165], [1.563963, 1.585105, 1.597289, 2.023504, 28.067793], [15.305069, 16.626308, 17.723144, 19.113369, 22.470103], [11.446794, 11.997800, 12.024936, 12.036303, 63.542879], [6.100333, 6.739837, 6.749126, 7.926572, 53.552773], [16.196365, 16.242172, 17.601237, 18.608237, 167.399006], [6.891381, 7.385098, 8.006057, 8.459947, 19.281749], [11.160675, 11.640064, 15.056952, 15.877948, 138.218827], [16.750175, 17.687100, 18.425896, 18.864986, 40.920282], [14.323320, 14.720971, 15.712618, 17.229051, 19.167254]]
### 8
fourier: [[13.314940, 14.439221, 16.068120, 18.148495, 61.077313], [14.865296, 17.820150, 19.726318, 21.836618, 152.749100], [9.754540, 10.500459, 11.561525, 13.135062, 55.779627], [9.601389, 9.621855, 9.895819, 10.017700, 34.309218], [10.307303, 10.399383, 10.517895, 10.865180, 48.728187], [3.955033, 4.862357, 5.190147, 6.018896, 38.610926], [0.700152, 0.773772, 0.832722, 0.966767, 7.276561], [9.268729, 9.298313, 9.894832, 10.017501, 89.334199], [4.248510, 4.293916, 4.457710, 4.900482, 62.869193], [4.501343, 4.645332, 4.900743, 5.033459, 60.865149]]
### 10
fourier: [[10.375122, 10.620666, 12.586664, 13.214355, 79.629189], [7.581084, 8.708034, 9.480822, 9.582396, 101.709012], [1.779675, 1.839122, 1.890762, 2.015312, 49.276224], [5.557605, 6.066452, 6.644292, 7.172031, 59.737965], [8.478531, 8.541444, 10.260306, 10.911698, 37.174671], [12.714492, 14.757424, 15.181054, 16.930805, 121.687870], [9.898143, 10.822084, 11.833300, 13.092274, 87.677040], [1.795220, 1.880910, 2.105173, 2.131483, 13.457486], [7.943466, 9.282411, 10.203928, 10.285282, 111.713750], [1.650698, 1.869792, 1.994119, 2.358652, 34.949987]]
### 12
fourier: [[0.396372, 0.427994, 0.455672, 0.471088, 13.097417], [4.837130, 5.147534, 5.557993, 5.775885, 74.901628], [14.923693, 16.675740, 17.579910, 18.910218, 170.328888], [2.611610, 2.647820, 2.881427, 3.029526, 3.447355], [2.934667, 3.079600, 3.557830, 3.921235, 9.907703], [1.159657, 1.203107, 1.227372, 1.253170, 10.994078], [8.338932, 8.965005, 9.745700, 10.311794, 83.947223], [0.936165, 0.974738, 1.018803, 1.024568, 17.559217], [2.866834, 3.356117, 3.795232, 4.058367, 51.692525], [15.866837, 17.973162, 18.886176, 20.470751, 174.975225]]
### 14
fourier: [[12.515158, 13.967429, 14.945174, 16.132833, 102.238844]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.251623, 0.082847, 0.271452, 0.306022, 0.160958], [0.157262, -0.221129, -0.337772, -0.668871, 0.15139], [-0.130516, -0.306541, -0.255561, -0.278171, -0.259481], [-0.509307, 0.211854, 0.473306, 0.158025, 0.242026], [0.578345, 0.001195, 0.359497, -0.200187, -0.328403], [0.053756, -0.300757, 0.507799, -0.179354, 0.000211], [0.671401, 0.38737, -0.059329, 0.137008, 0.142178], [0.413504, -0.06792, -0.048344, 0.047189, -0.255978], [0.611261, -0.186512, 0.434864, 0.066844, -0.115605], [0.163378, -0.303871, -0.475902, -0.232958, 0.183245]], "network.0.bias": [0.577686, 0.302067, -0.411222, 0.27889, 0.464356, -0.010455, -0.302371, 0.048736, 0.448202, 0.014558], "network.2.weight": [[-0.279936, 0.237578, 0.130743, -0.192161, -0.077188, -0.238238, 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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7112529575824738, "train_acc": 0.455, "val_loss": 0.7092438340187073, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6989776492118835, "train_acc": 0.455, "val_loss": 0.6906816363334656, "val_acc": 0.86}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6876325905323029, "train_acc": 0.72, "val_loss": 0.670127272605896, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6824490427970886, "train_acc": 0.475, "val_loss": 0.6513451933860779, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6538431346416473, "train_acc": 0.63, "val_loss": 0.5990787744522095, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5912050902843475, "train_acc": 0.935, "val_loss": 0.4933088719844818, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4825516641139984, "train_acc": 0.93, "val_loss": 0.3373761773109436, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3635667860507965, "train_acc": 0.94, "val_loss": 0.25703147053718567, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.28385163843631744, "train_acc": 0.95, "val_loss": 0.23481754958629608, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.21427375823259354, "train_acc": 0.965, "val_loss": 0.2095354199409485, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.14566929638385773, "train_acc": 0.965, "val_loss": 0.21152301132678986, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.11494090408086777, "train_acc": 0.965, "val_loss": 0.21065780520439148, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 1.0307246036827564, "train_acc": 0.875, "val_loss": 0.27422264218330383, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7092438340187073, "final_val_loss": 0.670127272605896, "initial_val_acc": 0.4, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.6513451933860779, "final_val_loss": 0.27422264218330383, "initial_val_acc": 0.6, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 6}, "improvement": 0.33999999999999997, "first_improvement_epoch": 2}}
|
76
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.44, "improved_accuracy": 0.76, "improvement": 0.32, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7384, "learning_rate": 0.0908679592276421, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[28.322405, 31.515418, 36.133751, 38.508013, 116.881442], [18.206332, 19.113869, 21.874584, 24.091169, 156.060445], [27.131573, 27.474108, 29.303475, 32.621011, 58.642457], [16.045592, 17.864720, 18.290795, 22.361199, 143.574887], [28.696779, 29.061447, 37.508828, 38.318483, 159.182724], [28.420408, 28.429663, 32.901277, 38.620601, 303.728375], [16.732606, 16.752312, 17.696827, 19.377858, 62.001209]]
### 2
fourier: [[18.868979, 18.884767, 19.134555, 19.594650, 105.733576], [31.168515, 31.547458, 36.045786, 41.072310, 218.837754], [20.103613, 20.419957, 20.813032, 23.106540, 118.388096], [19.554823, 20.014991, 21.829883, 22.579703, 46.894078], [35.099679, 40.026153, 40.711428, 41.566629, 206.281638], [4.853461, 4.916728, 5.117395, 5.122365, 65.689990], [35.850329, 37.044119, 41.798771, 41.817403, 214.736949]]
### 4
fourier: [[9.591748, 9.821561, 13.055647, 13.080461, 141.808366], [10.312405, 10.492980, 10.704894, 12.053522, 16.307480], [38.273812, 41.245478, 43.534707, 45.331808, 242.907091], [45.453300, 46.323352, 52.225322, 53.399222, 211.633107], [37.369895, 39.407927, 43.201480, 43.256052, 250.125186], [31.772808, 33.191530, 35.038456, 37.127791, 215.081552], [24.529130, 26.520381, 27.526064, 27.969483, 148.791415]]
### 6
fourier: [[10.357464, 10.502192, 10.538581, 11.933506, 85.974526], [2.432239, 2.457729, 2.511827, 2.908525, 32.089105], [33.843964, 33.981926, 37.788827, 39.651447, 115.756865], [22.698295, 22.706533, 23.145970, 24.385064, 26.920625], [16.294077, 16.597025, 17.095731, 19.581656, 87.610177], [15.704107, 15.912065, 15.964547, 16.163317, 17.610475], [24.696684, 24.889357, 27.281681, 29.160406, 60.578332]]
### 8
fourier: [[26.147045, 26.646031, 27.538117, 32.642496, 90.415096], [2.218335, 2.248657, 2.388977, 2.451112, 86.073177], [44.821739, 46.094177, 47.439987, 48.344795, 54.756217], [41.639941, 41.689784, 42.286302, 45.261882, 48.232580], [12.597141, 12.634705, 13.132750, 14.608836, 105.103453], [46.551691, 47.348452, 47.751758, 49.920103, 55.452355], [30.426159, 30.759835, 31.370899, 36.013018, 93.603721]]
### 10
fourier: [[9.473922, 9.497916, 9.669670, 10.065034, 34.189885], [34.980042, 35.906717, 38.736156, 44.405489, 78.773625], [29.172633, 30.010963, 30.935728, 31.346500, 35.378582], [39.670548, 40.668557, 43.000497, 50.286614, 266.967392], [13.953844, 15.194709, 16.033658, 16.416454, 126.212275], [59.946778, 61.407236, 66.222407, 75.926422, 195.188227], [23.046438, 23.301762, 25.095136, 28.931377, 150.202752]]
### 12
fourier: [[30.620478, 30.897959, 33.218936, 38.059074, 61.865062], [11.557119, 12.811263, 13.474521, 14.370162, 220.996797], [39.018574, 39.617958, 42.534282, 48.417572, 115.923669], [35.121547, 35.202530, 37.695451, 43.421712, 102.171217], [48.552543, 49.996122, 52.504824, 61.501025, 329.747986], [43.560687, 44.270347, 47.653950, 53.746553, 71.444162], [17.613545, 19.491098, 20.304144, 20.810304, 214.206065]]
### 14
fourier: [[15.024868, 15.104986, 16.099666, 17.799039, 73.940397], [20.851258, 21.212484, 22.244270, 25.840928, 47.307141], [15.469014, 15.759189, 16.694341, 18.638812, 54.172560], [7.347436, 7.534385, 7.843302, 9.219294, 96.689478], [16.985805, 17.273871, 17.392065, 20.657015, 101.386843], [44.306185, 44.668397, 48.088751, 55.092617, 141.400924], [22.291648, 22.932407, 24.934212, 28.239835, 42.916976]]
### 16
fourier: [[11.533611, 11.657820, 11.756629, 12.370316, 12.728383]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[28.322405, 31.515418, 36.133751, 38.508013, 116.881442], [18.206332, 19.113869, 21.874584, 24.091169, 156.060445], [27.131573, 27.474108, 29.303475, 32.621011, 58.642457], [16.045592, 17.864720, 18.290795, 22.361199, 143.574887], [28.696779, 29.061447, 37.508828, 38.318483, 159.182724], [28.420408, 28.429663, 32.901277, 38.620601, 303.728375], [16.732606, 16.752312, 17.696827, 19.377858, 62.001209]]
### 2
fourier: [[18.868979, 18.884767, 19.134555, 19.594650, 105.733576], [31.168515, 31.547458, 36.045786, 41.072310, 218.837754], [20.103613, 20.419957, 20.813032, 23.106540, 118.388096], [19.554823, 20.014991, 21.829883, 22.579703, 46.894078], [35.099679, 40.026153, 40.711428, 41.566629, 206.281638], [4.853461, 4.916728, 5.117395, 5.122365, 65.689990], [35.850329, 37.044119, 41.798771, 41.817403, 214.736949]]
### 4
fourier: [[9.591748, 9.821561, 13.055647, 13.080461, 141.808366], [10.312405, 10.492980, 10.704894, 12.053522, 16.307480], [38.273812, 41.245478, 43.534707, 45.331808, 242.907091], [45.453300, 46.323352, 52.225322, 53.399222, 211.633107], [37.369895, 39.407927, 43.201480, 43.256052, 250.125186], [31.772808, 33.191530, 35.038456, 37.127791, 215.081552], [24.529130, 26.520381, 27.526064, 27.969483, 148.791415]]
### 6
fourier: [[10.357464, 10.502192, 10.538581, 11.933506, 85.974526], [2.432239, 2.457729, 2.511827, 2.908525, 32.089105], [33.843964, 33.981926, 37.788827, 39.651447, 115.756865], [22.698295, 22.706533, 23.145970, 24.385064, 26.920625], [16.294077, 16.597025, 17.095731, 19.581656, 87.610177], [15.704107, 15.912065, 15.964547, 16.163317, 17.610475], [24.696684, 24.889357, 27.281681, 29.160406, 60.578332]]
### 8
fourier: [[26.147045, 26.646031, 27.538117, 32.642496, 90.415096], [2.218335, 2.248657, 2.388977, 2.451112, 86.073177], [44.821739, 46.094177, 47.439987, 48.344795, 54.756217], [41.639941, 41.689784, 42.286302, 45.261882, 48.232580], [12.597141, 12.634705, 13.132750, 14.608836, 105.103453], [46.551691, 47.348452, 47.751758, 49.920103, 55.452355], [30.426159, 30.759835, 31.370899, 36.013018, 93.603721]]
### 10
fourier: [[9.473922, 9.497916, 9.669670, 10.065034, 34.189885], [34.980042, 35.906717, 38.736156, 44.405489, 78.773625], [29.172633, 30.010963, 30.935728, 31.346500, 35.378582], [39.670548, 40.668557, 43.000497, 50.286614, 266.967392], [13.953844, 15.194709, 16.033658, 16.416454, 126.212275], [59.946778, 61.407236, 66.222407, 75.926422, 195.188227], [23.046438, 23.301762, 25.095136, 28.931377, 150.202752]]
### 12
fourier: [[30.620478, 30.897959, 33.218936, 38.059074, 61.865062], [11.557119, 12.811263, 13.474521, 14.370162, 220.996797], [39.018574, 39.617958, 42.534282, 48.417572, 115.923669], [35.121547, 35.202530, 37.695451, 43.421712, 102.171217], [48.552543, 49.996122, 52.504824, 61.501025, 329.747986], [43.560687, 44.270347, 47.653950, 53.746553, 71.444162], [17.613545, 19.491098, 20.304144, 20.810304, 214.206065]]
### 14
fourier: [[15.024868, 15.104986, 16.099666, 17.799039, 73.940397], [20.851258, 21.212484, 22.244270, 25.840928, 47.307141], [15.469014, 15.759189, 16.694341, 18.638812, 54.172560], [7.347436, 7.534385, 7.843302, 9.219294, 96.689478], [16.985805, 17.273871, 17.392065, 20.657015, 101.386843], [44.306185, 44.668397, 48.088751, 55.092617, 141.400924], [22.291648, 22.932407, 24.934212, 28.239835, 42.916976]]
### 16
fourier: [[11.533611, 11.657820, 11.756629, 12.370316, 12.728383]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.700922280550003, "train_acc": 0.425, "val_loss": 0.7283244132995605, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6717100739479065, "train_acc": 0.595, "val_loss": 0.735055148601532, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6504886150360107, "train_acc": 0.595, "val_loss": 0.6493399143218994, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.7293278574943542, "train_acc": 0.535, "val_loss": 0.5692307353019714, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5957140624523163, "train_acc": 0.69, "val_loss": 0.6785840392112732, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6958085000514984, "train_acc": 0.575, "val_loss": 0.6697758436203003, "val_acc": 0.64}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6533021628856659, "train_acc": 0.62, "val_loss": 0.6067054867744446, "val_acc": 0.72}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7283244132995605, "final_val_loss": 0.6493399143218994, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5692307353019714, "final_val_loss": 0.6067054867744446, "initial_val_acc": 0.76, "final_val_acc": 0.72, "best_val_acc": 0.76, "best_epoch": 3}, "improvement": 0.32, "first_improvement_epoch": 2}}
|
77
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.6, "improved_accuracy": 0.94, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3108, "learning_rate": 0.06811339339954631, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[27.944242, 27.999061, 31.666991, 35.336729, 271.882837], [20.542540, 23.117751, 23.427204, 23.755343, 23.914387], [23.497338, 24.725308, 25.342996, 26.126849, 114.976454], [26.771529, 28.122056, 32.199975, 33.606831, 53.787626], [21.597191, 24.156682, 24.490817, 25.189263, 33.927095], [32.169955, 32.527983, 33.204204, 35.792146, 43.918525], [31.304673, 33.332343, 34.086101, 44.855287, 48.231016], [26.360072, 27.912043, 28.752973, 32.890146, 70.004038], [23.790569, 25.768048, 26.174468, 27.592573, 33.060714], [21.923640, 22.613122, 22.670300, 32.001597, 44.431564], [20.147584, 23.162746, 25.295819, 25.854592, 121.883608]]
### 2
fourier: [[26.441114, 26.511202, 27.203553, 28.531861, 173.238879], [43.943978, 46.080971, 47.383836, 49.000781, 201.349423], [39.410429, 40.253374, 40.719621, 41.535239, 151.690566], [22.788285, 23.032688, 23.634340, 24.165622, 177.551516], [18.696745, 19.627937, 19.977116, 20.609346, 100.650198], [18.646740, 22.081857, 23.277951, 33.297648, 118.731508], [62.337600, 62.576957, 68.642621, 69.492444, 359.193097], [50.927183, 53.282427, 60.123496, 64.726073, 351.745254], [16.138967, 16.346703, 17.034593, 19.197397, 115.316053], [34.194438, 34.858609, 37.484921, 44.706697, 162.167970], [23.904871, 25.564438, 29.087247, 35.389456, 168.421374]]
### 4
fourier: [[33.229909, 33.310779, 33.974149, 42.645786, 234.015293], [90.487542, 93.259346, 99.633485, 105.592956, 503.123318], [78.217042, 83.536197, 84.777334, 92.498457, 485.464728], [6.836393, 7.777299, 9.164134, 9.869266, 89.649960], [42.336660, 49.036437, 54.208126, 55.263153, 317.347102], [44.255714, 46.326799, 49.286437, 50.067353, 264.405481], [127.673116, 133.484671, 134.382937, 151.308775, 744.724247], [40.874479, 41.951240, 45.035179, 50.480132, 299.006443], [76.900001, 81.671820, 83.801773, 88.951123, 476.159372], [69.555176, 70.464940, 78.723539, 84.948210, 434.874439], [29.232552, 29.706288, 31.929945, 32.564680, 172.876971]]
### 6
fourier: [[83.362832, 87.550325, 93.388344, 97.649601, 525.785958], [114.538932, 119.572843, 124.305246, 134.556638, 681.629761], [91.150552, 95.245074, 98.226816, 106.814790, 526.062703], [42.919518, 44.122075, 47.770129, 49.788344, 255.948204], [43.619241, 43.703329, 46.495229, 52.080430, 296.814708], [41.196322, 42.479222, 47.318879, 47.554968, 249.289836], [97.548085, 101.299112, 109.105127, 113.418589, 525.306419], [12.910393, 13.731036, 13.769434, 16.411048, 34.463421], [73.801484, 77.307125, 78.778353, 86.703636, 410.511717], [190.666365, 199.644384, 213.703743, 222.501876, 1123.637223], [10.157914, 10.758482, 10.864491, 11.856331, 65.473593]]
### 8
fourier: [[73.599214, 76.505197, 81.277266, 85.341352, 361.344707], [137.100052, 143.647839, 151.259123, 159.573037, 824.111130], [159.902032, 166.941317, 176.645785, 186.504334, 929.128775], [154.437761, 161.892023, 170.341960, 180.068601, 941.159409], [58.415146, 61.381663, 64.574994, 68.316773, 358.310548], [237.252661, 247.739158, 260.841207, 277.001088, 1354.345941], [170.195131, 178.318822, 188.354187, 198.484694, 1014.206765], [114.253990, 119.734801, 126.585600, 133.096424, 700.948823], [62.410685, 65.441483, 66.661888, 73.005166, 338.489859], [156.283252, 163.787921, 170.828701, 182.411245, 925.817538], [9.774937, 10.069447, 11.000863, 12.000001, 78.191191]]
### 10
fourier: [[41.970550, 44.358663, 44.732684, 47.947943, 267.000932], [131.296991, 137.411527, 143.564367, 152.990143, 768.111322], [10.949459, 11.302284, 11.840363, 12.736678, 67.004873], [69.610562, 71.921639, 76.306704, 80.959047, 406.755418], [130.294164, 134.883900, 142.876133, 151.550495, 724.849912], [120.047514, 124.362946, 131.556075, 139.683355, 637.296883], [6.179687, 6.805051, 6.877045, 7.516213, 92.185294], [140.885067, 148.069687, 152.874826, 163.611163, 831.652936], [39.031324, 40.977654, 42.558311, 45.410749, 246.336402], [115.781555, 121.113272, 127.025899, 134.872522, 672.761175], [88.553713, 91.245322, 97.028092, 102.900050, 469.066417]]
### 12
fourier: [[38.372469, 40.306542, 41.642341, 44.548678, 241.586636], [29.009316, 30.421325, 31.686010, 33.826273, 184.459023], [115.742598, 121.170625, 126.954709, 135.024833, 613.620324], [39.216326, 41.225631, 42.403142, 45.417763, 253.208715], [48.772813, 50.996022, 53.497941, 56.892982, 280.905462], [117.984832, 123.411538, 129.462449, 137.600008, 674.287034], [94.587106, 99.215538, 103.404464, 110.258718, 558.748243], [138.693518, 145.501150, 151.651991, 161.619035, 815.034038], [59.955487, 62.315584, 65.846057, 69.750796, 335.349913], [187.706690, 196.670221, 205.986795, 219.076360, 1049.372839], [10.929942, 11.274196, 11.886515, 12.668886, 73.157679]]
### 14
fourier: [[72.142787, 75.814467, 78.622726, 83.811304, 380.008658]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[27.944242, 27.999061, 31.666991, 35.336729, 271.882837], [20.542540, 23.117751, 23.427204, 23.755343, 23.914387], [23.497338, 24.725308, 25.342996, 26.126849, 114.976454], [26.771529, 28.122056, 32.199975, 33.606831, 53.787626], [21.597191, 24.156682, 24.490817, 25.189263, 33.927095], [32.169955, 32.527983, 33.204204, 35.792146, 43.918525], [31.304673, 33.332343, 34.086101, 44.855287, 48.231016], [26.360072, 27.912043, 28.752973, 32.890146, 70.004038], [23.790569, 25.768048, 26.174468, 27.592573, 33.060714], [21.923640, 22.613122, 22.670300, 32.001597, 44.431564], [20.147584, 23.162746, 25.295819, 25.854592, 121.883608]]
### 2
fourier: [[26.441114, 26.511202, 27.203553, 28.531861, 173.238879], [43.943978, 46.080971, 47.383836, 49.000781, 201.349423], [39.410429, 40.253374, 40.719621, 41.535239, 151.690566], [22.788285, 23.032688, 23.634340, 24.165622, 177.551516], [18.696745, 19.627937, 19.977116, 20.609346, 100.650198], [18.646740, 22.081857, 23.277951, 33.297648, 118.731508], [62.337600, 62.576957, 68.642621, 69.492444, 359.193097], [50.927183, 53.282427, 60.123496, 64.726073, 351.745254], [16.138967, 16.346703, 17.034593, 19.197397, 115.316053], [34.194438, 34.858609, 37.484921, 44.706697, 162.167970], [23.904871, 25.564438, 29.087247, 35.389456, 168.421374]]
### 4
fourier: [[33.229909, 33.310779, 33.974149, 42.645786, 234.015293], [90.487542, 93.259346, 99.633485, 105.592956, 503.123318], [78.217042, 83.536197, 84.777334, 92.498457, 485.464728], [6.836393, 7.777299, 9.164134, 9.869266, 89.649960], [42.336660, 49.036437, 54.208126, 55.263153, 317.347102], [44.255714, 46.326799, 49.286437, 50.067353, 264.405481], [127.673116, 133.484671, 134.382937, 151.308775, 744.724247], [40.874479, 41.951240, 45.035179, 50.480132, 299.006443], [76.900001, 81.671820, 83.801773, 88.951123, 476.159372], [69.555176, 70.464940, 78.723539, 84.948210, 434.874439], [29.232552, 29.706288, 31.929945, 32.564680, 172.876971]]
### 6
fourier: [[83.362832, 87.550325, 93.388344, 97.649601, 525.785958], [114.538932, 119.572843, 124.305246, 134.556638, 681.629761], [91.150552, 95.245074, 98.226816, 106.814790, 526.062703], [42.919518, 44.122075, 47.770129, 49.788344, 255.948204], [43.619241, 43.703329, 46.495229, 52.080430, 296.814708], [41.196322, 42.479222, 47.318879, 47.554968, 249.289836], [97.548085, 101.299112, 109.105127, 113.418589, 525.306419], [12.910393, 13.731036, 13.769434, 16.411048, 34.463421], [73.801484, 77.307125, 78.778353, 86.703636, 410.511717], [190.666365, 199.644384, 213.703743, 222.501876, 1123.637223], [10.157914, 10.758482, 10.864491, 11.856331, 65.473593]]
### 8
fourier: [[73.599214, 76.505197, 81.277266, 85.341352, 361.344707], [137.100052, 143.647839, 151.259123, 159.573037, 824.111130], [159.902032, 166.941317, 176.645785, 186.504334, 929.128775], [154.437761, 161.892023, 170.341960, 180.068601, 941.159409], [58.415146, 61.381663, 64.574994, 68.316773, 358.310548], [237.252661, 247.739158, 260.841207, 277.001088, 1354.345941], [170.195131, 178.318822, 188.354187, 198.484694, 1014.206765], [114.253990, 119.734801, 126.585600, 133.096424, 700.948823], [62.410685, 65.441483, 66.661888, 73.005166, 338.489859], [156.283252, 163.787921, 170.828701, 182.411245, 925.817538], [9.774937, 10.069447, 11.000863, 12.000001, 78.191191]]
### 10
fourier: [[41.970550, 44.358663, 44.732684, 47.947943, 267.000932], [131.296991, 137.411527, 143.564367, 152.990143, 768.111322], [10.949459, 11.302284, 11.840363, 12.736678, 67.004873], [69.610562, 71.921639, 76.306704, 80.959047, 406.755418], [130.294164, 134.883900, 142.876133, 151.550495, 724.849912], [120.047514, 124.362946, 131.556075, 139.683355, 637.296883], [6.179687, 6.805051, 6.877045, 7.516213, 92.185294], [140.885067, 148.069687, 152.874826, 163.611163, 831.652936], [39.031324, 40.977654, 42.558311, 45.410749, 246.336402], [115.781555, 121.113272, 127.025899, 134.872522, 672.761175], [88.553713, 91.245322, 97.028092, 102.900050, 469.066417]]
### 12
fourier: [[38.372469, 40.306542, 41.642341, 44.548678, 241.586636], [29.009316, 30.421325, 31.686010, 33.826273, 184.459023], [115.742598, 121.170625, 126.954709, 135.024833, 613.620324], [39.216326, 41.225631, 42.403142, 45.417763, 253.208715], [48.772813, 50.996022, 53.497941, 56.892982, 280.905462], [117.984832, 123.411538, 129.462449, 137.600008, 674.287034], [94.587106, 99.215538, 103.404464, 110.258718, 558.748243], [138.693518, 145.501150, 151.651991, 161.619035, 815.034038], [59.955487, 62.315584, 65.846057, 69.750796, 335.349913], [187.706690, 196.670221, 205.986795, 219.076360, 1049.372839], [10.929942, 11.274196, 11.886515, 12.668886, 73.157679]]
### 14
fourier: [[72.142787, 75.814467, 78.622726, 83.811304, 380.008658]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6917881369590759, "train_acc": 0.48, "val_loss": 0.6751450300216675, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6959457993507385, "train_acc": 0.55, "val_loss": 0.6639203429222107, "val_acc": 0.6}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6810119152069092, "train_acc": 0.55, "val_loss": 0.6067337989807129, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6365702748298645, "train_acc": 0.475, "val_loss": 0.5595166087150574, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5250879377126694, "train_acc": 0.65, "val_loss": 0.3485472798347473, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.41213764250278473, "train_acc": 0.87, "val_loss": 0.30268263816833496, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3513089716434479, "train_acc": 0.945, "val_loss": 0.26903191208839417, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.31136421859264374, "train_acc": 0.945, "val_loss": 0.23757404088974, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2750938981771469, "train_acc": 0.945, "val_loss": 0.20215225219726562, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.22274581342935562, "train_acc": 0.945, "val_loss": 0.17912089824676514, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.17765428870916367, "train_acc": 0.945, "val_loss": 0.19536800682544708, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.18681032210588455, "train_acc": 0.95, "val_loss": 0.22966741025447845, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.21435073018074036, "train_acc": 0.95, "val_loss": 0.22220264375209808, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6751450300216675, "final_val_loss": 0.6067337989807129, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.5595166087150574, "final_val_loss": 0.22220264375209808, "initial_val_acc": 0.6, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 5}, "improvement": 0.33999999999999997, "first_improvement_epoch": 2}}
|
78
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.44, "improved_accuracy": 0.82, "improvement": 0.37999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1819, "learning_rate": 0.02780895152918729, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[28.404617, 31.866674, 33.704517, 35.728382, 87.907004], [19.767826, 22.600672, 23.622192, 24.588461, 128.306424], [16.113413, 17.035845, 17.506567, 19.990242, 138.485769], [22.335104, 23.051183, 25.344970, 30.536058, 33.292288], [35.147724, 38.033774, 38.195066, 39.021679, 125.560099], [28.053437, 28.092045, 29.363692, 35.696113, 218.372604], [40.193608, 40.240054, 40.725756, 40.896711, 192.539431], [23.368958, 26.396153, 29.443857, 35.009144, 40.082746], [21.910590, 22.552509, 25.280091, 26.756483, 148.829781], [20.821815, 21.179893, 22.641453, 28.881517, 81.618366], [19.033483, 20.241264, 20.786201, 21.576208, 25.481339]]
### 2
fourier: [[18.350108, 19.533976, 21.589882, 25.798108, 125.589633], [34.865255, 35.536941, 37.359160, 37.364040, 124.502701], [19.669449, 20.643881, 20.895769, 24.159719, 133.409079], [17.202493, 17.479660, 17.894571, 18.261016, 80.513583], [35.419967, 35.694737, 35.919835, 37.106015, 129.078143], [40.783617, 41.999361, 42.767274, 43.079392, 151.827204], [28.905072, 30.866124, 30.964664, 31.155491, 70.508749], [36.474998, 36.570097, 37.477891, 37.975603, 186.019968], [44.461887, 44.477874, 45.111292, 49.719383, 158.759646], [24.989193, 25.179105, 25.948720, 26.508416, 124.752422], [19.042096, 20.322908, 20.658223, 21.066320, 81.078201]]
### 4
fourier: [[72.863271, 73.427387, 74.584071, 75.261333, 252.327435], [76.695338, 77.977266, 79.089220, 80.191096, 269.731106], [27.687295, 27.904454, 28.831541, 29.059135, 150.292801], [86.972460, 88.281096, 88.508712, 90.017009, 305.439436], [32.452927, 34.961218, 35.091009, 36.130203, 66.355893], [8.457137, 8.876812, 9.797286, 10.804275, 54.459594], [34.981442, 35.234445, 36.111867, 39.282442, 69.202100], [36.058558, 36.464458, 38.128411, 38.199123, 96.266111], [10.583698, 10.676400, 11.785423, 12.331284, 71.426681], [79.098990, 80.642221, 80.908781, 82.503091, 310.693529], [20.740860, 20.861292, 21.445950, 21.536401, 170.224955]]
### 6
fourier: [[39.825140, 40.670023, 40.803722, 40.884364, 153.396003], [52.827285, 54.143814, 55.395924, 56.046733, 142.268249], [112.062029, 115.204933, 115.730226, 116.162321, 437.972452], [44.171399, 45.336084, 45.815940, 46.466860, 137.040476], [58.794932, 60.339958, 61.119644, 61.864455, 286.404505], [6.042367, 6.071483, 6.417742, 6.755769, 48.874662], [38.564189, 39.234673, 39.933339, 41.869506, 189.380052], [9.270728, 9.670456, 9.894917, 11.660855, 57.759323], [67.108965, 68.177685, 68.357517, 69.373506, 282.036388], [48.498723, 48.882511, 49.591678, 50.727870, 162.574211], [85.499934, 85.989244, 87.221123, 88.684000, 284.892114]]
### 8
fourier: [[31.506850, 32.177978, 32.392879, 32.771668, 122.207065], [45.424055, 45.678316, 45.920402, 47.488794, 162.487082], [21.821042, 22.553501, 22.663831, 23.134508, 113.813562], [29.099421, 29.258438, 29.433856, 29.561933, 143.753049], [27.435954, 27.849010, 28.233668, 29.091249, 126.186900], [50.983367, 51.361366, 51.687769, 53.170694, 190.905803], [22.255496, 22.788647, 22.823527, 22.834333, 101.175822], [41.637474, 42.311495, 42.513876, 42.527954, 165.371035], [42.402930, 42.699436, 46.229270, 47.269124, 116.144358], [31.098257, 31.586151, 31.802535, 32.653283, 97.471768], [28.923994, 29.312246, 31.404529, 31.493125, 103.981901]]
### 10
fourier: [[5.785041, 6.032258, 6.372347, 8.500000, 44.711068], [3.898048, 4.024401, 4.251079, 5.760625, 38.022690], [55.189484, 56.341295, 56.357737, 58.183368, 229.266079], [45.557042, 45.945509, 45.969374, 47.802466, 204.719258], [0.936668, 1.132848, 1.171471, 1.219307, 31.524343], [60.768906, 62.400023, 62.451320, 64.286072, 224.215104], [26.499872, 26.739575, 27.892093, 28.433203, 92.901306], [9.351215, 11.278427, 11.968495, 12.547981, 20.118249], [68.901082, 71.323718, 71.522550, 72.768068, 290.161953], [42.019505, 42.194033, 43.039102, 44.512912, 130.187735], [1.369556, 1.420769, 1.439852, 1.575006, 20.386827]]
### 12
fourier: [[14.212267, 14.241459, 14.345032, 14.842660, 26.619696], [18.078051, 18.375723, 18.615234, 18.691606, 92.452974], [19.557758, 19.782927, 20.107608, 20.620774, 97.521816], [10.146988, 10.149758, 10.234882, 10.631709, 62.431029], [76.463870, 76.722730, 76.997929, 80.445128, 325.175525], [28.930096, 29.173180, 29.963348, 30.767264, 153.761071], [87.389375, 87.951701, 88.193717, 91.913172, 357.359650], [15.257535, 15.276037, 15.628783, 16.473299, 69.686294], [7.996995, 8.202590, 8.390547, 8.916911, 49.364057], [10.595545, 10.609852, 11.178513, 11.984206, 52.197921], [13.377950, 14.192414, 14.936676, 15.318640, 66.613883]]
### 14
fourier: [[60.360871, 61.720037, 62.543712, 64.887115, 256.767808]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[28.404617, 31.866674, 33.704517, 35.728382, 87.907004], [19.767826, 22.600672, 23.622192, 24.588461, 128.306424], [16.113413, 17.035845, 17.506567, 19.990242, 138.485769], [22.335104, 23.051183, 25.344970, 30.536058, 33.292288], [35.147724, 38.033774, 38.195066, 39.021679, 125.560099], [28.053437, 28.092045, 29.363692, 35.696113, 218.372604], [40.193608, 40.240054, 40.725756, 40.896711, 192.539431], [23.368958, 26.396153, 29.443857, 35.009144, 40.082746], [21.910590, 22.552509, 25.280091, 26.756483, 148.829781], [20.821815, 21.179893, 22.641453, 28.881517, 81.618366], [19.033483, 20.241264, 20.786201, 21.576208, 25.481339]]
### 2
fourier: [[18.350108, 19.533976, 21.589882, 25.798108, 125.589633], [34.865255, 35.536941, 37.359160, 37.364040, 124.502701], [19.669449, 20.643881, 20.895769, 24.159719, 133.409079], [17.202493, 17.479660, 17.894571, 18.261016, 80.513583], [35.419967, 35.694737, 35.919835, 37.106015, 129.078143], [40.783617, 41.999361, 42.767274, 43.079392, 151.827204], [28.905072, 30.866124, 30.964664, 31.155491, 70.508749], [36.474998, 36.570097, 37.477891, 37.975603, 186.019968], [44.461887, 44.477874, 45.111292, 49.719383, 158.759646], [24.989193, 25.179105, 25.948720, 26.508416, 124.752422], [19.042096, 20.322908, 20.658223, 21.066320, 81.078201]]
### 4
fourier: [[72.863271, 73.427387, 74.584071, 75.261333, 252.327435], [76.695338, 77.977266, 79.089220, 80.191096, 269.731106], [27.687295, 27.904454, 28.831541, 29.059135, 150.292801], [86.972460, 88.281096, 88.508712, 90.017009, 305.439436], [32.452927, 34.961218, 35.091009, 36.130203, 66.355893], [8.457137, 8.876812, 9.797286, 10.804275, 54.459594], [34.981442, 35.234445, 36.111867, 39.282442, 69.202100], [36.058558, 36.464458, 38.128411, 38.199123, 96.266111], [10.583698, 10.676400, 11.785423, 12.331284, 71.426681], [79.098990, 80.642221, 80.908781, 82.503091, 310.693529], [20.740860, 20.861292, 21.445950, 21.536401, 170.224955]]
### 6
fourier: [[39.825140, 40.670023, 40.803722, 40.884364, 153.396003], [52.827285, 54.143814, 55.395924, 56.046733, 142.268249], [112.062029, 115.204933, 115.730226, 116.162321, 437.972452], [44.171399, 45.336084, 45.815940, 46.466860, 137.040476], [58.794932, 60.339958, 61.119644, 61.864455, 286.404505], [6.042367, 6.071483, 6.417742, 6.755769, 48.874662], [38.564189, 39.234673, 39.933339, 41.869506, 189.380052], [9.270728, 9.670456, 9.894917, 11.660855, 57.759323], [67.108965, 68.177685, 68.357517, 69.373506, 282.036388], [48.498723, 48.882511, 49.591678, 50.727870, 162.574211], [85.499934, 85.989244, 87.221123, 88.684000, 284.892114]]
### 8
fourier: [[31.506850, 32.177978, 32.392879, 32.771668, 122.207065], [45.424055, 45.678316, 45.920402, 47.488794, 162.487082], [21.821042, 22.553501, 22.663831, 23.134508, 113.813562], [29.099421, 29.258438, 29.433856, 29.561933, 143.753049], [27.435954, 27.849010, 28.233668, 29.091249, 126.186900], [50.983367, 51.361366, 51.687769, 53.170694, 190.905803], [22.255496, 22.788647, 22.823527, 22.834333, 101.175822], [41.637474, 42.311495, 42.513876, 42.527954, 165.371035], [42.402930, 42.699436, 46.229270, 47.269124, 116.144358], [31.098257, 31.586151, 31.802535, 32.653283, 97.471768], [28.923994, 29.312246, 31.404529, 31.493125, 103.981901]]
### 10
fourier: [[5.785041, 6.032258, 6.372347, 8.500000, 44.711068], [3.898048, 4.024401, 4.251079, 5.760625, 38.022690], [55.189484, 56.341295, 56.357737, 58.183368, 229.266079], [45.557042, 45.945509, 45.969374, 47.802466, 204.719258], [0.936668, 1.132848, 1.171471, 1.219307, 31.524343], [60.768906, 62.400023, 62.451320, 64.286072, 224.215104], [26.499872, 26.739575, 27.892093, 28.433203, 92.901306], [9.351215, 11.278427, 11.968495, 12.547981, 20.118249], [68.901082, 71.323718, 71.522550, 72.768068, 290.161953], [42.019505, 42.194033, 43.039102, 44.512912, 130.187735], [1.369556, 1.420769, 1.439852, 1.575006, 20.386827]]
### 12
fourier: [[14.212267, 14.241459, 14.345032, 14.842660, 26.619696], [18.078051, 18.375723, 18.615234, 18.691606, 92.452974], [19.557758, 19.782927, 20.107608, 20.620774, 97.521816], [10.146988, 10.149758, 10.234882, 10.631709, 62.431029], [76.463870, 76.722730, 76.997929, 80.445128, 325.175525], [28.930096, 29.173180, 29.963348, 30.767264, 153.761071], [87.389375, 87.951701, 88.193717, 91.913172, 357.359650], [15.257535, 15.276037, 15.628783, 16.473299, 69.686294], [7.996995, 8.202590, 8.390547, 8.916911, 49.364057], [10.595545, 10.609852, 11.178513, 11.984206, 52.197921], [13.377950, 14.192414, 14.936676, 15.318640, 66.613883]]
### 14
fourier: [[60.360871, 61.720037, 62.543712, 64.887115, 256.767808]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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-0.525555, 0.368943, -0.265814, 0.256933], [0.198504, 0.223419, -0.021538, 0.02906, -0.184855, 0.054976, -0.156152, 0.048644, -0.272382, -0.374326, 0.175914], [-0.132803, -0.252044, -0.247326, -0.05421, -0.072036, 0.196509, -0.028118, -0.129867, -0.052668, 0.193195, 0.123243], [-0.201717, -0.187094, -0.20726, -0.13103, 0.027584, 0.207054, -0.284935, -0.179009, -0.09189, -0.144305, 0.235912], [-0.04773, 0.11312, -0.07419, -0.164063, -0.005759, 0.008349, 0.01077, -0.437178, 0.329645, -0.309128, 0.190619]], "network.12.bias": [-0.248489, -0.077642, -0.177415, -0.143241, 0.270333, -0.164122, 0.143637, 0.029024, -0.142905, 0.09173, 0.337998], "network.14.weight": [[-0.070804, 0.011413, 0.034521, 0.06821, -0.475482, -0.115318, -0.257774, 0.055877, -0.206993, 0.146158, -0.176076]], "network.14.bias": [0.089217]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.681953102350235, "train_acc": 0.575, "val_loss": 0.7168626189231873, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6726332604885101, "train_acc": 0.575, "val_loss": 0.7077773213386536, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6523783206939697, "train_acc": 0.575, "val_loss": 0.6856126189231873, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.639299064874649, "train_acc": 0.575, "val_loss": 0.636443018913269, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.7525047957897186, "train_acc": 0.515, "val_loss": 0.6958028674125671, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6204883456230164, "train_acc": 0.515, "val_loss": 0.641304612159729, "val_acc": 0.44}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6373455226421356, "train_acc": 0.515, "val_loss": 0.6485219597816467, "val_acc": 0.44}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.6329081058502197, "train_acc": 0.515, "val_loss": 0.6228313446044922, "val_acc": 0.44}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.6065131425857544, "train_acc": 0.515, "val_loss": 0.5703426599502563, "val_acc": 0.44}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5728511214256287, "train_acc": 0.515, "val_loss": 0.5463327169418335, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.5511174201965332, "train_acc": 0.73, "val_loss": 0.5308380126953125, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.531771332025528, "train_acc": 0.725, "val_loss": 0.5104876160621643, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.5104131698608398, "train_acc": 0.75, "val_loss": 0.5085514783859253, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.514549046754837, "train_acc": 0.755, "val_loss": 0.5003653168678284, "val_acc": 0.8}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7168626189231873, "final_val_loss": 0.636443018913269, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6958028674125671, "final_val_loss": 0.5003653168678284, "initial_val_acc": 0.44, "final_val_acc": 0.8, "best_val_acc": 0.82, "best_epoch": 11}, "improvement": 0.37999999999999995, "first_improvement_epoch": 3}}
|
79
|
{"target_pattern": "alternating", "degraded_accuracy": 0.38, "improved_accuracy": 0.98, "improvement": 0.6, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1615, "learning_rate": 0.07978870000114546, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.12.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
fourier: [[28.761918, 29.987514, 32.156328, 35.384575, 223.425417], [54.121614, 58.766642, 59.164084, 59.405075, 204.540886], [32.455722, 34.301388, 37.354641, 37.764268, 146.295400], [20.226286, 21.349214, 21.558903, 22.984889, 26.423063], [32.690961, 38.931694, 39.773813, 44.741652, 183.269890], [56.804764, 60.427255, 61.165019, 62.451762, 235.611760], [25.938665, 31.483794, 31.913986, 32.332530, 151.787162]]
### 2
fourier: [[29.371400, 29.448531, 30.198972, 38.005677, 186.453099], [50.882603, 51.740302, 54.042169, 61.792983, 368.509338], [12.849236, 16.734861, 17.325272, 17.535809, 114.142885], [22.782025, 23.799616, 25.064110, 31.234081, 136.743871], [23.435211, 27.424497, 28.006462, 29.726862, 185.707159], [24.008782, 24.442824, 25.112949, 30.265633, 139.573398], [31.561539, 31.859520, 33.038042, 40.067850, 186.379829]]
### 4
fourier: [[9.555251, 9.660150, 10.221244, 12.436957, 96.682571], [7.139870, 7.349038, 7.494451, 9.435933, 26.024418], [47.481535, 47.653373, 49.932814, 60.835571, 294.936765], [16.803640, 17.018076, 17.865830, 22.177549, 98.358678], [13.644730, 13.948669, 14.838934, 17.522515, 99.503757], [7.708368, 7.710771, 8.120262, 9.841102, 75.341296], [5.142968, 5.301869, 5.668761, 6.603274, 23.093927]]
### 6
fourier: [[15.479402, 15.488591, 16.153360, 19.380800, 85.997859], [11.077704, 11.113988, 11.574414, 13.932847, 31.547402], [0.318083, 0.322383, 0.337835, 0.364215, 24.049211], [45.927335, 47.037238, 48.945649, 59.267311, 273.253768], [24.098966, 24.315185, 25.387693, 30.618103, 133.260937], [10.587465, 10.967013, 11.348663, 13.796000, 78.609782], [31.399088, 32.383785, 33.663146, 40.885272, 176.163857]]
### 8
fourier: [[11.462376, 11.783650, 12.243723, 15.210864, 82.985699], [5.275832, 5.373155, 5.452821, 6.301727, 26.855963], [8.127161, 8.439897, 8.816742, 10.839765, 64.101151], [12.279336, 12.557395, 13.083049, 15.895117, 57.820895], [26.760750, 28.020250, 29.064464, 35.884926, 123.552155], [21.742132, 22.220725, 23.111889, 28.097554, 99.624093], [40.995751, 42.270558, 43.837945, 53.468592, 219.115478]]
### 10
fourier: [[18.324673, 18.814822, 19.675446, 24.325149, 134.511154], [35.990840, 36.980512, 38.891726, 48.193627, 158.650703], [22.777954, 23.653208, 24.774098, 30.645021, 132.097028], [57.968298, 59.888151, 62.993498, 78.140610, 284.898262], [12.887890, 13.127946, 13.951225, 17.308222, 78.597691], [4.992747, 5.354017, 5.502315, 6.787006, 67.391768], [53.155848, 54.454977, 57.543136, 71.469638, 239.139728]]
### 12
fourier: [[70.684072, 71.720995, 76.413109, 95.133115, 328.425154]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[28.761918, 29.987514, 32.156328, 35.384575, 223.425417], [54.121614, 58.766642, 59.164084, 59.405075, 204.540886], [32.455722, 34.301388, 37.354641, 37.764268, 146.295400], [20.226286, 21.349214, 21.558903, 22.984889, 26.423063], [32.690961, 38.931694, 39.773813, 44.741652, 183.269890], [56.804764, 60.427255, 61.165019, 62.451762, 235.611760], [25.938665, 31.483794, 31.913986, 32.332530, 151.787162]]
### 2
fourier: [[29.371400, 29.448531, 30.198972, 38.005677, 186.453099], [50.882603, 51.740302, 54.042169, 61.792983, 368.509338], [12.849236, 16.734861, 17.325272, 17.535809, 114.142885], [22.782025, 23.799616, 25.064110, 31.234081, 136.743871], [23.435211, 27.424497, 28.006462, 29.726862, 185.707159], [24.008782, 24.442824, 25.112949, 30.265633, 139.573398], [31.561539, 31.859520, 33.038042, 40.067850, 186.379829]]
### 4
fourier: [[9.555251, 9.660150, 10.221244, 12.436957, 96.682571], [7.139870, 7.349038, 7.494451, 9.435933, 26.024418], [47.481535, 47.653373, 49.932814, 60.835571, 294.936765], [16.803640, 17.018076, 17.865830, 22.177549, 98.358678], [13.644730, 13.948669, 14.838934, 17.522515, 99.503757], [7.708368, 7.710771, 8.120262, 9.841102, 75.341296], [5.142968, 5.301869, 5.668761, 6.603274, 23.093927]]
### 6
fourier: [[15.479402, 15.488591, 16.153360, 19.380800, 85.997859], [11.077704, 11.113988, 11.574414, 13.932847, 31.547402], [0.318083, 0.322383, 0.337835, 0.364215, 24.049211], [45.927335, 47.037238, 48.945649, 59.267311, 273.253768], [24.098966, 24.315185, 25.387693, 30.618103, 133.260937], [10.587465, 10.967013, 11.348663, 13.796000, 78.609782], [31.399088, 32.383785, 33.663146, 40.885272, 176.163857]]
### 8
fourier: [[11.462376, 11.783650, 12.243723, 15.210864, 82.985699], [5.275832, 5.373155, 5.452821, 6.301727, 26.855963], [8.127161, 8.439897, 8.816742, 10.839765, 64.101151], [12.279336, 12.557395, 13.083049, 15.895117, 57.820895], [26.760750, 28.020250, 29.064464, 35.884926, 123.552155], [21.742132, 22.220725, 23.111889, 28.097554, 99.624093], [40.995751, 42.270558, 43.837945, 53.468592, 219.115478]]
### 10
fourier: [[18.324673, 18.814822, 19.675446, 24.325149, 134.511154], [35.990840, 36.980512, 38.891726, 48.193627, 158.650703], [22.777954, 23.653208, 24.774098, 30.645021, 132.097028], [57.968298, 59.888151, 62.993498, 78.140610, 284.898262], [12.887890, 13.127946, 13.951225, 17.308222, 78.597691], [4.992747, 5.354017, 5.502315, 6.787006, 67.391768], [53.155848, 54.454977, 57.543136, 71.469638, 239.139728]]
### 12
fourier: [[70.684072, 71.720995, 76.413109, 95.133115, 328.425154]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [28.761917937235193, 29.98751427219415, 32.15632791348431, 35.3845748602659, 223.42541748285294]}, "1": {"fourier": [54.121613587527804, 58.76664162088116, 59.164084245218, 59.40507483954842, 204.54088570177555]}, "2": {"fourier": [32.45572224483778, 34.3013882417263, 37.35464148100797, 37.76426795478433, 146.29540047049522]}, "3": {"fourier": [20.226286120117106, 21.349214289607442, 21.55890298126646, 22.984888969885855, 26.42306252476802]}, "4": {"fourier": [32.69096124610537, 38.93169391340014, 39.77381345778886, 44.741652257797924, 183.26989048719406]}, "5": {"fourier": [56.80476449080085, 60.4272553784333, 61.16501912714053, 62.45176206284976, 235.61175972223282]}, "6": {"fourier": [25.938665423725272, 31.48379386910197, 31.91398581420726, 32.3325295785935, 151.78716215118766]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [29.37139986137433, 29.448531420217975, 30.198971882640837, 38.005677398612676, 186.45309934020042]}, "1": {"fourier": [50.88260257860828, 51.74030153172229, 54.04216921613325, 61.792983312748134, 368.5093384385109]}, "2": {"fourier": [12.849236480764592, 16.734860792075477, 17.325272437458693, 17.53580858613145, 114.14288473129272]}, "3": {"fourier": [22.78202458626723, 23.799616419344975, 25.064110192414002, 31.23408118813429, 136.74387057125568]}, "4": {"fourier": [23.435211005850903, 27.42449736182831, 28.006461919244707, 29.72686212053835, 185.70715939998627]}, "5": {"fourier": [24.008781728553792, 24.442824360852814, 25.11294881959439, 30.265633149096328, 139.57339814305305]}, "6": {"fourier": [31.561539410431642, 31.85951963506403, 33.03804176510737, 40.06784994780468, 186.37982897274196]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [9.55525084609383, 9.660149577026047, 10.221244136755077, 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[22.77795385117127, 23.653207662459177, 24.77409820516821, 30.645020944293965, 132.09702775627375]}, "3": {"fourier": [57.968297762390904, 59.88815059947091, 62.99349772231358, 78.14060973623047, 284.8982620090246]}, "4": {"fourier": [12.8878896517472, 13.127946415288513, 13.951225254993235, 17.308222125996867, 78.59769129753113]}, "5": {"fourier": [4.9927466056874765, 5.354016690630029, 5.502315293659231, 6.787006325020296, 67.39176818728447]}, "6": {"fourier": [53.15584800331443, 54.45497702065522, 57.54313610914642, 71.46963830913775, 239.1397275775671]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [70.68407184340742, 71.72099453192858, 76.41310850381694, 95.13311497315517, 328.42515432834625]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.040329, 0.046642, 0.626, 0.063147, 0.506347], [0.431274, -0.758378, 0.436717, -1.271734, 0.400718], [0.298751, -0.735115, 0.194709, -0.592474, 0.042071], [-0.423527, -0.370951, 0.297182, 0.329287, 0.19204], [-0.348275, -0.517465, 0.77965, 0.500221, 0.433243], [0.600081, -1.225548, 0.095471, -0.999774, 0.453233], [0.196535, -0.200008, 0.36893, 0.160856, 0.588149]], "network.0.bias": [0.279772, -0.106749, 0.154176, -0.439221, 0.177046, 0.254089, -0.034577], "network.2.weight": [[-0.184709, -0.370539, -0.347656, -0.385668, -0.241922, -0.085251, -0.285512], [-0.22617, -0.006994, -0.615823, -0.280909, -0.822508, -0.131115, -0.587774], [-0.181388, 0.544694, -0.304366, -0.126626, 0.119497, -0.349863, -0.491681], [0.37414, -0.371447, 0.042661, 0.644098, 0.201105, -0.697651, 0.242464], [-0.169821, -0.138407, 0.227728, -0.229561, -0.502643, -0.039594, -0.086946], [0.13842, -0.580367, -0.480677, -0.231927, 0.544688, -0.144671, 0.457598], [0.185005, -0.65405, -0.486668, 0.384067, 0.65547, -0.480967, 0.322928]], "network.2.bias": [-0.144308, -0.434083, -0.235214, -0.151004, -0.262385, -0.227712, 0.030115], "network.4.weight": [[0.355903, 0.082788, 0.424995, -0.149346, -0.113208, -0.114281, -0.130878], [0.488465, -0.299052, 0.011077, -0.253049, 0.010331, -0.241693, 0.132095], [0.024684, 0.032792, 0.088364, 0.363402, 0.334296, 0.590965, 0.89517], [-0.068875, -0.638977, 0.332656, -0.241637, -0.453418, -0.422803, -0.07648], [0.114705, 0.035985, 0.549628, -0.387991, 0.179044, 0.077345, -0.239819], [-0.260756, 0.162751, 0.439777, -0.084696, -0.204048, -0.070301, -0.145291], [0.066003, -0.527749, 0.031542, -0.184272, -0.258795, 0.066431, -0.091181]], "network.4.bias": [-0.354203, 0.227559, -0.253874, 0.158249, -0.061269, -0.263034, 0.141226], "network.6.weight": [[-0.357024, 0.427902, -0.314648, 0.066533, 0.402246, -0.299393, 0.756814], [-0.179094, 0.150072, -0.22773, -0.01949, 0.267884, 0.281551, 0.614236], [-0.107432, 0.079038, -0.003353, 0.005077, 0.01991, -0.231122, 0.160011], [0.320152, 0.344556, -0.97871, -0.161712, 0.419513, -0.32611, -0.058442], [-0.155763, -0.222504, 0.50252, -0.345551, -0.139942, -0.011347, -0.450144], [-0.581781, -0.028092, -0.229476, -0.351326, -0.45121, -0.429012, 0.134859], [0.07509, 0.201606, 0.680125, 0.192529, -0.169691, -0.02294, 0.274402]], "network.6.bias": [0.032496, 0.375924, -0.267579, 0.207722, -0.147978, -0.098679, -0.339295], "network.8.weight": [[-0.474038, -0.336928, 0.141705, -0.253345, -0.499788, 0.169391, -0.013492], [0.046305, 0.237979, 0.245749, 0.452681, 0.060835, 0.194, -0.19142], [0.299167, -0.110818, 0.365425, -0.161473, 0.129368, 0.007535, -0.364532], [-0.089259, -0.033739, 0.125137, -0.241021, 0.127015, -0.062243, 0.293388], [-0.107161, 0.176421, 0.265205, 0.583596, 0.252084, -0.060558, 0.700549], [-0.200584, -0.202031, 0.167011, -0.27794, 0.069845, -0.079799, 0.630788], [0.003592, -0.346634, 0.050116, -0.350993, 0.684441, 0.037713, 0.793678]], "network.8.bias": [-0.018703, 0.522081, -0.170092, -0.12172, -0.491651, -0.214402, -0.16097], "network.10.weight": [[0.23741, 0.215159, 0.308279, -0.125196, 0.105665, -0.052744, -0.448095], [-0.142999, -0.474187, -0.300863, 0.169427, 0.18924, 0.096568, 0.646039], [-0.053804, 0.149223, -0.004385, -0.452992, -0.183257, 0.270063, -0.45054], [0.140067, -0.291449, 0.319989, 0.219628, 0.723067, 0.668261, 0.552867], [-0.147885, 0.182775, -0.225244, 0.134332, -0.514296, 0.297226, -0.164607], [0.275752, -0.126693, 0.122761, -0.101694, 0.089959, -0.214384, -0.054542], [-0.26425, -0.750164, 0.258208, 0.5633, 0.67946, 0.23468, 0.548721]], "network.10.bias": [-0.42947, -0.233824, -0.115012, -0.179446, -0.222815, -0.36193, -0.160583], "network.12.weight": [[0.138733, -0.314989, -0.130387, -0.601088, -0.084067, 0.353659, -0.482932]], "network.12.bias": [0.337991]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6886759996414185, "train_acc": 0.605, "val_loss": 0.770528256893158, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6692728102207184, "train_acc": 0.605, "val_loss": 0.725761890411377, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6871439218521118, "train_acc": 0.53, "val_loss": 0.7233892679214478, "val_acc": 0.38}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6242045760154724, "train_acc": 0.53, "val_loss": 0.6181987524032593, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5066001266241074, "train_acc": 0.755, "val_loss": 0.449789822101593, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.39366090297698975, "train_acc": 0.855, "val_loss": 0.3677275776863098, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3506811857223511, "train_acc": 0.88, "val_loss": 0.3347051739692688, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3309287130832672, "train_acc": 0.885, "val_loss": 0.3079613149166107, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3264062702655792, "train_acc": 0.885, "val_loss": 0.27736926078796387, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.27601010352373123, "train_acc": 0.905, "val_loss": 0.25410816073417664, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.37556086480617523, "train_acc": 0.91, "val_loss": 0.23432132601737976, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3012605383992195, "train_acc": 0.895, "val_loss": 0.2375592738389969, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.770528256893158, "final_val_loss": 0.725761890411377, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.7233892679214478, "final_val_loss": 0.2375592738389969, "initial_val_acc": 0.38, "final_val_acc": 0.94, "best_val_acc": 0.98, "best_epoch": 5}, "improvement": 0.6, "first_improvement_epoch": 1}}
|
80
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.38, "improved_accuracy": 0.94, "improvement": 0.5599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2821, "learning_rate": 0.06588945995968935, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.115082,
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],
[
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-0.629727,
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"network.12.weight": [
[
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"network.12.bias": [
-0.081822
]
}
## Activation Signature
### 0
fourier: [[29.745550, 31.097844, 31.595571, 35.791507, 127.134991], [53.052186, 53.489456, 62.765783, 63.601944, 323.316626], [29.565296, 31.485127, 36.950848, 38.060723, 261.512815], [41.886288, 47.039221, 50.004513, 50.650311, 189.914145], [56.465732, 61.692908, 66.100487, 69.752274, 332.008955], [45.295061, 46.146565, 47.196230, 47.994405, 62.512478], [60.185705, 63.297084, 64.815121, 68.102303, 217.525255]]
### 2
fourier: [[13.812961, 14.554837, 15.104117, 17.113569, 103.162056], [85.412913, 87.120924, 90.899514, 100.125996, 394.045088], [42.860454, 47.701183, 48.775476, 49.024975, 244.305017], [101.651488, 105.009879, 106.251969, 117.458119, 429.650950], [16.128419, 17.854967, 20.720065, 21.040822, 159.062185], [102.065601, 103.571359, 109.450994, 119.356293, 471.947527], [89.181046, 95.047784, 96.838197, 103.596949, 502.648505]]
### 4
fourier: [[55.792753, 57.056117, 57.392924, 66.676379, 256.770747], [65.632556, 69.005897, 72.093147, 74.897922, 387.160490], [120.103236, 127.321266, 130.710046, 141.368763, 696.197733], [14.547360, 15.434177, 15.632379, 15.952060, 120.424555], [71.194328, 72.255159, 72.954660, 85.496082, 297.918513], [56.094828, 60.951677, 61.223393, 64.007143, 329.987190], [37.249552, 37.796385, 38.627712, 40.851117, 222.161618]]
### 6
fourier: [[60.939760, 63.603391, 66.333577, 67.541179, 375.421827], [60.385015, 60.719921, 62.190676, 64.433902, 343.218579], [57.236852, 57.370748, 60.485154, 63.544466, 351.985860], [24.966382, 27.681859, 28.105954, 30.809908, 181.224715], [7.397931, 7.436836, 7.481092, 7.838223, 90.749713], [62.862169, 63.064113, 64.586661, 73.853153, 203.606419], [60.205531, 61.463294, 64.402858, 66.848446, 399.897316]]
### 8
fourier: [[23.799043, 24.102029, 24.206365, 25.343488, 27.183050], [20.897975, 23.454050, 23.726365, 23.795745, 171.432714], [13.499570, 13.754933, 14.057813, 14.220189, 58.885701], [37.304711, 37.907747, 38.154131, 46.056041, 230.879018], [11.816866, 12.227159, 12.735767, 13.240133, 77.887182], [32.075250, 33.965708, 35.104641, 36.827244, 226.748304], [12.513734, 13.217959, 13.747569, 14.266836, 140.977913]]
### 10
fourier: [[8.064590, 8.145772, 8.281808, 9.557363, 25.633619], [29.343526, 29.612380, 30.545294, 33.651754, 229.793042], [15.990713, 16.286231, 16.963672, 17.653981, 60.461047], [4.583012, 4.857321, 4.877197, 4.931528, 26.002456], [31.956188, 32.617517, 33.184142, 37.613030, 257.707200], [4.652466, 5.312186, 5.348784, 5.536859, 89.599792], [5.711216, 6.487136, 6.681220, 6.773105, 69.056154]]
### 12
fourier: [[54.738412, 57.667491, 58.412253, 59.754525, 458.732848]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[29.745550, 31.097844, 31.595571, 35.791507, 127.134991], [53.052186, 53.489456, 62.765783, 63.601944, 323.316626], [29.565296, 31.485127, 36.950848, 38.060723, 261.512815], [41.886288, 47.039221, 50.004513, 50.650311, 189.914145], [56.465732, 61.692908, 66.100487, 69.752274, 332.008955], [45.295061, 46.146565, 47.196230, 47.994405, 62.512478], [60.185705, 63.297084, 64.815121, 68.102303, 217.525255]]
### 2
fourier: [[13.812961, 14.554837, 15.104117, 17.113569, 103.162056], [85.412913, 87.120924, 90.899514, 100.125996, 394.045088], [42.860454, 47.701183, 48.775476, 49.024975, 244.305017], [101.651488, 105.009879, 106.251969, 117.458119, 429.650950], [16.128419, 17.854967, 20.720065, 21.040822, 159.062185], [102.065601, 103.571359, 109.450994, 119.356293, 471.947527], [89.181046, 95.047784, 96.838197, 103.596949, 502.648505]]
### 4
fourier: [[55.792753, 57.056117, 57.392924, 66.676379, 256.770747], [65.632556, 69.005897, 72.093147, 74.897922, 387.160490], [120.103236, 127.321266, 130.710046, 141.368763, 696.197733], [14.547360, 15.434177, 15.632379, 15.952060, 120.424555], [71.194328, 72.255159, 72.954660, 85.496082, 297.918513], [56.094828, 60.951677, 61.223393, 64.007143, 329.987190], [37.249552, 37.796385, 38.627712, 40.851117, 222.161618]]
### 6
fourier: [[60.939760, 63.603391, 66.333577, 67.541179, 375.421827], [60.385015, 60.719921, 62.190676, 64.433902, 343.218579], [57.236852, 57.370748, 60.485154, 63.544466, 351.985860], [24.966382, 27.681859, 28.105954, 30.809908, 181.224715], [7.397931, 7.436836, 7.481092, 7.838223, 90.749713], [62.862169, 63.064113, 64.586661, 73.853153, 203.606419], [60.205531, 61.463294, 64.402858, 66.848446, 399.897316]]
### 8
fourier: [[23.799043, 24.102029, 24.206365, 25.343488, 27.183050], [20.897975, 23.454050, 23.726365, 23.795745, 171.432714], [13.499570, 13.754933, 14.057813, 14.220189, 58.885701], [37.304711, 37.907747, 38.154131, 46.056041, 230.879018], [11.816866, 12.227159, 12.735767, 13.240133, 77.887182], [32.075250, 33.965708, 35.104641, 36.827244, 226.748304], [12.513734, 13.217959, 13.747569, 14.266836, 140.977913]]
### 10
fourier: [[8.064590, 8.145772, 8.281808, 9.557363, 25.633619], [29.343526, 29.612380, 30.545294, 33.651754, 229.793042], [15.990713, 16.286231, 16.963672, 17.653981, 60.461047], [4.583012, 4.857321, 4.877197, 4.931528, 26.002456], [31.956188, 32.617517, 33.184142, 37.613030, 257.707200], [4.652466, 5.312186, 5.348784, 5.536859, 89.599792], [5.711216, 6.487136, 6.681220, 6.773105, 69.056154]]
### 12
fourier: [[54.738412, 57.667491, 58.412253, 59.754525, 458.732848]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [29.745550144878305, 31.097843556116747, 31.59557125181601, 35.79150720308354, 127.1349906027317]}, "1": {"fourier": [53.05218624063394, 53.48945645712839, 62.765782656968696, 63.60194371697524, 323.3166264742613]}, "2": {"fourier": [29.565295822919268, 31.48512662453278, 36.95084792099326, 38.060722521014874, 261.5128154307604]}, "3": {"fourier": [41.88628846827285, 47.03922093901358, 50.00451283065215, 50.650311389086205, 189.9141454845667]}, "4": {"fourier": [56.46573238955547, 61.69290751604665, 66.10048672249685, 69.7522741174736, 332.00895511358976]}, "5": {"fourier": [45.29506110693398, 46.14656490313101, 47.19622999429703, 47.99440469439742, 62.512477675848416]}, "6": {"fourier": [60.18570529367772, 63.29708351969423, 64.81512116370814, 68.10230339066591, 217.52525526285172]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": 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"relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.464624, 0.640021, -0.588981, -0.047998, -0.002505], [0.955258, 1.154134, 0.101866, 0.099836, -0.076513], [-0.216325, -0.383896, -0.481486, -0.121032, -0.432725], [1.108492, 0.482852, 0.088409, 0.128349, -0.593323], [0.785288, 1.337782, -0.119184, 0.299131, -0.181373], [-0.981212, -0.462012, -0.419659, 0.583223, 0.535813], [-1.420723, -0.992377, 0.000873, 0.101775, 0.458647]], "network.0.bias": [-0.664337, -0.031961, -0.137939, 0.122687, 0.105191, 0.503644, 0.373658], "network.2.weight": [[0.051785, 0.31171, -0.02127, 0.160824, -0.185575, -0.04608, 0.702703], [-0.31663, -0.316733, 0.077732, -0.521576, -0.767538, 0.447494, 0.319893], [0.127805, 0.363463, 0.4069, 0.637667, -0.013656, 0.019092, 0.024267], [0.42973, -0.885911, -0.211233, -0.278396, -0.635483, 0.696111, 0.452229], [-0.266928, -0.296925, -0.097685, 0.155651, -0.113722, -0.325187, -0.157745], [0.093915, -0.74587, 0.188738, -0.628869, -0.592809, 0.427875, 0.427986], [0.691077, 0.376804, 0.058572, 0.78372, 0.62407, 0.073075, -0.398087]], "network.2.bias": [0.186579, 0.367452, -0.050278, 0.575822, -0.249399, 0.557015, 0.03668], "network.4.weight": [[-1.016902, 0.591675, 0.085822, 0.799846, 0.094004, 0.365171, -0.437074], [-0.740461, 0.381332, -0.200638, -0.055818, -0.16561, 0.014988, -0.539651], [1.127537, -0.221417, 0.521775, -0.378868, 0.474638, -0.579647, 0.916627], [0.144977, 0.055931, -0.216879, -0.502929, -0.153288, -0.227265, -0.087629], [-1.000057, 0.809775, 0.141839, 0.700803, 0.018531, 0.639096, -0.62507], [-0.348589, 0.166575, 0.167333, 0.271353, -0.069, -0.174971, 0.602403], [0.112266, -0.271066, -0.34675, 0.163652, -0.36253, -0.06032, -0.248001]], "network.4.bias": [-0.000779, 0.049979, 0.235655, -0.184142, 0.347062, 0.143822, -0.25973], "network.6.weight": [[0.025139, 0.103005, 0.448427, -0.147335, 0.045701, 0.119747, 0.061247], [-0.186982, 0.12269, 0.440885, 0.36093, 0.492951, 0.123718, -0.093443], [0.004705, -0.56682, -0.246485, 0.122217, 0.056888, -0.455028, 0.033317], [-0.193091, -0.358707, -0.046, -0.522306, -0.52141, -0.385459, -0.291312], [0.062317, -0.132142, -0.107309, 0.000124, -0.378741, 0.12061, -0.502834], [0.78964, 0.224016, -0.465443, 0.068155, 0.869607, 0.215309, 0.183416], [-0.237029, -0.54724, -0.373632, 0.040799, -0.480829, -0.310505, -0.248598]], "network.6.bias": [0.200796, -0.24329, -0.342432, 0.042133, -0.466528, -0.025178, -0.106609], "network.8.weight": [[0.101605, 0.109141, -0.338875, 0.107609, -0.3456, -0.544133, -0.09101], [0.009427, -0.274946, -0.314814, -0.49245, 0.477133, -0.665207, 0.096801], [0.563354, -0.451183, -0.110918, 0.040651, 0.269015, 0.57908, -0.217749], [0.303933, 0.218408, -0.082989, 0.242605, 0.192941, -0.488655, -0.007366], [-0.174072, -0.011769, -0.122535, -0.493602, 0.27207, -0.267498, 0.130812], [-0.455289, -0.109664, -0.449787, 0.121233, -0.157266, -0.231638, -0.251374], [-0.178638, -0.035661, 0.300771, -0.220995, 0.088465, -0.215595, -0.344074]], "network.8.bias": [-0.251452, -0.495824, -0.323084, 0.758282, 0.066353, -0.062831, -0.55569], "network.10.weight": [[0.289327, -0.236185, -0.241524, 0.121575, -0.346498, 0.332363, -0.373867], [0.151446, -0.011086, -0.380833, 0.784354, 0.083851, 0.263752, 0.234256], [-0.046819, 0.172672, -0.543765, 0.414159, -0.139106, -0.027958, -0.309037], [-0.086142, 0.356972, 0.34909, 0.041106, 0.209247, 0.207766, 0.010383], [0.151944, 0.306707, -0.643671, 0.85739, 0.408958, 0.052398, -0.333942], [-0.224099, -0.036984, -0.240011, -0.001762, -0.405934, 0.115082, -0.238713], [-0.122022, -0.138773, -0.332967, -0.046743, 0.098871, -0.277081, 0.104515]], "network.10.bias": [-0.629727, 0.606042, -0.05395, 0.002386, 0.892373, -0.696143, -0.348736], "network.12.weight": [[0.18242, -0.723253, -0.236437, 0.363166, -1.045916, 0.099732, -0.245433]], "network.12.bias": [-0.081822]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6752191185951233, "train_acc": 0.605, "val_loss": 0.7769232392311096, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6758485436439514, "train_acc": 0.605, "val_loss": 0.7878619432449341, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6679750978946686, "train_acc": 0.605, "val_loss": 0.7134090662002563, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6518759727478027, "train_acc": 0.53, "val_loss": 0.6489788293838501, "val_acc": 0.38}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5629277527332306, "train_acc": 0.625, "val_loss": 0.34325501322746277, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3991108238697052, "train_acc": 0.845, "val_loss": 0.26281142234802246, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3130037933588028, "train_acc": 0.88, "val_loss": 0.24757857620716095, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.326523020863533, "train_acc": 0.87, "val_loss": 0.23486728966236115, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.353559285402298, "train_acc": 0.85, "val_loss": 0.2471117079257965, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.30194228887557983, "train_acc": 0.875, "val_loss": 0.3561953604221344, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.32774342596530914, "train_acc": 0.905, "val_loss": 0.3702516555786133, "val_acc": 0.94}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7769232392311096, "final_val_loss": 0.7134090662002563, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.6489788293838501, "final_val_loss": 0.3702516555786133, "initial_val_acc": 0.38, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 9}, "improvement": 0.5599999999999999, "first_improvement_epoch": 2}}
|
81
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.48, "improved_accuracy": 0.66, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 9, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9710, "learning_rate": 0.036471643370111356, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "vowel_consonant", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["vowel_consonant"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[28.678355, 29.201213, 31.333269, 31.645743, 275.628959], [16.450217, 17.079075, 17.152079, 18.676978, 19.509647], [26.475830, 27.592824, 28.196623, 35.770285, 57.763051], [22.019061, 22.930553, 24.048798, 25.006081, 34.772994], [20.735886, 24.500680, 28.772710, 35.481608, 70.123112], [25.788546, 27.499958, 32.892240, 41.335237, 107.359958], [13.489214, 14.083573, 14.667021, 16.440514, 19.561732], [26.167531, 26.620903, 26.938546, 32.244950, 203.129975], [30.879164, 30.893015, 31.103715, 31.872494, 152.481262]]
### 2
fourier: [[8.748465, 9.215923, 9.347674, 9.801203, 67.915182], [13.940131, 15.058389, 15.380282, 19.272634, 41.625694], [11.099693, 14.536791, 17.637351, 19.392386, 38.997061], [15.428690, 15.585094, 15.914927, 16.193329, 17.229116], [19.131713, 19.800707, 22.728286, 26.945754, 113.834763], [8.382512, 9.378036, 9.712735, 9.790058, 22.253381], [9.681136, 10.115513, 13.135251, 13.886055, 15.149521], [8.961868, 9.824825, 10.417754, 11.409385, 52.845811], [16.210843, 16.515591, 16.670854, 17.933733, 34.046066]]
### 4
fourier: [[10.053786, 11.099157, 12.849212, 14.464657, 54.653053], [7.629927, 7.954986, 8.843452, 10.186201, 40.877678], [9.236208, 10.233474, 10.890908, 12.571478, 53.540912], [6.540751, 6.724600, 7.052876, 7.308008, 41.555706], [5.589712, 6.536277, 6.745034, 8.336377, 54.304501], [4.369544, 4.418117, 5.509864, 6.132852, 32.892032], [4.018622, 4.476557, 4.516419, 4.581760, 13.549789], [10.546209, 11.199681, 11.521659, 14.296977, 24.166174], [8.652999, 8.850820, 8.919377, 11.943374, 80.400434]]
### 6
fourier: [[11.597266, 12.415164, 13.242401, 13.270328, 13.608790], [5.485422, 6.153305, 6.769219, 7.028507, 16.696762], [5.022688, 5.288029, 5.430242, 5.775999, 14.102853], [6.818296, 6.840556, 8.386221, 9.046831, 28.146296], [5.792380, 5.856765, 6.356519, 7.139230, 30.068376], [6.926188, 6.951250, 7.704786, 7.812922, 8.510310], [12.296369, 12.654901, 15.530823, 15.534263, 24.345415], [5.670266, 6.211454, 6.361450, 7.137154, 13.559852], [7.631976, 8.070822, 8.757035, 10.292662, 56.585299]]
### 8
fourier: [[9.010061, 9.227183, 10.577055, 11.519877, 33.995147], [2.043239, 2.201376, 2.703860, 2.937797, 25.768896], [4.045718, 4.050675, 4.112543, 4.454549, 7.823960], [3.906003, 3.985304, 4.113213, 4.683039, 4.854749], [5.979939, 6.067911, 7.773071, 8.261525, 21.617761], [4.925156, 5.077435, 5.388621, 6.664822, 6.764898], [4.857200, 5.452986, 5.635379, 6.103538, 31.787195], [9.690710, 10.096370, 11.250583, 12.011922, 22.645201], [6.840730, 7.038398, 8.065068, 8.739041, 8.950840]]
### 10
fourier: [[7.647065, 7.756989, 8.668735, 8.817230, 10.718085], [5.580310, 6.273377, 6.541834, 7.870706, 37.340297], [7.101252, 7.101871, 7.963377, 8.116973, 9.748154], [6.939190, 6.978518, 7.713450, 7.948818, 9.356701], [5.958518, 6.288175, 6.602845, 7.099141, 8.258647], [7.499208, 8.438006, 8.572653, 10.806495, 52.405728], [1.794579, 1.872247, 2.052126, 2.069306, 28.284268], [0.524575, 0.543675, 0.681718, 0.691583, 3.061723], [5.808495, 6.434738, 6.757901, 7.918623, 8.427647]]
### 12
fourier: [[2.562108, 2.731878, 2.916239, 3.658852, 5.699289], [1.591261, 1.664349, 1.682118, 1.730076, 7.036408], [7.235066, 7.654379, 8.880145, 9.803164, 37.276609], [1.554138, 1.580713, 1.656433, 1.722416, 18.973408], [2.161340, 2.403620, 2.600101, 3.020685, 29.048622], [4.641716, 4.662370, 5.509266, 5.513617, 31.826144], [4.013861, 4.515741, 4.598801, 5.622495, 12.585885], [7.003272, 7.027309, 8.281140, 8.594232, 9.082166], [3.829265, 4.146877, 4.731339, 5.327292, 12.763733]]
### 14
fourier: [[2.582293, 2.921401, 3.071164, 3.687414, 21.402167], [2.602228, 2.943265, 2.970248, 3.680430, 25.479914], [2.685361, 2.724524, 3.041209, 3.278858, 3.823277], [1.457826, 1.507690, 1.599065, 2.016417, 8.671874], [2.844056, 3.189608, 3.379942, 4.025556, 4.456763], [1.853457, 2.098694, 2.141185, 2.703478, 14.163191], [0.731810, 0.773484, 0.831085, 1.038608, 6.989017], [3.192710, 3.198294, 3.593977, 3.898473, 4.561161], [4.446787, 5.027582, 5.292487, 6.356314, 12.581206]]
### 16
fourier: [[1.440190, 1.631918, 1.650959, 2.058533, 4.063413]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
vowel_consonant
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[28.678355, 29.201213, 31.333269, 31.645743, 275.628959], [16.450217, 17.079075, 17.152079, 18.676978, 19.509647], [26.475830, 27.592824, 28.196623, 35.770285, 57.763051], [22.019061, 22.930553, 24.048798, 25.006081, 34.772994], [20.735886, 24.500680, 28.772710, 35.481608, 70.123112], [25.788546, 27.499958, 32.892240, 41.335237, 107.359958], [13.489214, 14.083573, 14.667021, 16.440514, 19.561732], [26.167531, 26.620903, 26.938546, 32.244950, 203.129975], [30.879164, 30.893015, 31.103715, 31.872494, 152.481262]]
### 2
fourier: [[8.748465, 9.215923, 9.347674, 9.801203, 67.915182], [13.940131, 15.058389, 15.380282, 19.272634, 41.625694], [11.099693, 14.536791, 17.637351, 19.392386, 38.997061], [15.428690, 15.585094, 15.914927, 16.193329, 17.229116], [19.131713, 19.800707, 22.728286, 26.945754, 113.834763], [8.382512, 9.378036, 9.712735, 9.790058, 22.253381], [9.681136, 10.115513, 13.135251, 13.886055, 15.149521], [8.961868, 9.824825, 10.417754, 11.409385, 52.845811], [16.210843, 16.515591, 16.670854, 17.933733, 34.046066]]
### 4
fourier: [[10.053786, 11.099157, 12.849212, 14.464657, 54.653053], [7.629927, 7.954986, 8.843452, 10.186201, 40.877678], [9.236208, 10.233474, 10.890908, 12.571478, 53.540912], [6.540751, 6.724600, 7.052876, 7.308008, 41.555706], [5.589712, 6.536277, 6.745034, 8.336377, 54.304501], [4.369544, 4.418117, 5.509864, 6.132852, 32.892032], [4.018622, 4.476557, 4.516419, 4.581760, 13.549789], [10.546209, 11.199681, 11.521659, 14.296977, 24.166174], [8.652999, 8.850820, 8.919377, 11.943374, 80.400434]]
### 6
fourier: [[11.597266, 12.415164, 13.242401, 13.270328, 13.608790], [5.485422, 6.153305, 6.769219, 7.028507, 16.696762], [5.022688, 5.288029, 5.430242, 5.775999, 14.102853], [6.818296, 6.840556, 8.386221, 9.046831, 28.146296], [5.792380, 5.856765, 6.356519, 7.139230, 30.068376], [6.926188, 6.951250, 7.704786, 7.812922, 8.510310], [12.296369, 12.654901, 15.530823, 15.534263, 24.345415], [5.670266, 6.211454, 6.361450, 7.137154, 13.559852], [7.631976, 8.070822, 8.757035, 10.292662, 56.585299]]
### 8
fourier: [[9.010061, 9.227183, 10.577055, 11.519877, 33.995147], [2.043239, 2.201376, 2.703860, 2.937797, 25.768896], [4.045718, 4.050675, 4.112543, 4.454549, 7.823960], [3.906003, 3.985304, 4.113213, 4.683039, 4.854749], [5.979939, 6.067911, 7.773071, 8.261525, 21.617761], [4.925156, 5.077435, 5.388621, 6.664822, 6.764898], [4.857200, 5.452986, 5.635379, 6.103538, 31.787195], [9.690710, 10.096370, 11.250583, 12.011922, 22.645201], [6.840730, 7.038398, 8.065068, 8.739041, 8.950840]]
### 10
fourier: [[7.647065, 7.756989, 8.668735, 8.817230, 10.718085], [5.580310, 6.273377, 6.541834, 7.870706, 37.340297], [7.101252, 7.101871, 7.963377, 8.116973, 9.748154], [6.939190, 6.978518, 7.713450, 7.948818, 9.356701], [5.958518, 6.288175, 6.602845, 7.099141, 8.258647], [7.499208, 8.438006, 8.572653, 10.806495, 52.405728], [1.794579, 1.872247, 2.052126, 2.069306, 28.284268], [0.524575, 0.543675, 0.681718, 0.691583, 3.061723], [5.808495, 6.434738, 6.757901, 7.918623, 8.427647]]
### 12
fourier: [[2.562108, 2.731878, 2.916239, 3.658852, 5.699289], [1.591261, 1.664349, 1.682118, 1.730076, 7.036408], [7.235066, 7.654379, 8.880145, 9.803164, 37.276609], [1.554138, 1.580713, 1.656433, 1.722416, 18.973408], [2.161340, 2.403620, 2.600101, 3.020685, 29.048622], [4.641716, 4.662370, 5.509266, 5.513617, 31.826144], [4.013861, 4.515741, 4.598801, 5.622495, 12.585885], [7.003272, 7.027309, 8.281140, 8.594232, 9.082166], [3.829265, 4.146877, 4.731339, 5.327292, 12.763733]]
### 14
fourier: [[2.582293, 2.921401, 3.071164, 3.687414, 21.402167], [2.602228, 2.943265, 2.970248, 3.680430, 25.479914], [2.685361, 2.724524, 3.041209, 3.278858, 3.823277], [1.457826, 1.507690, 1.599065, 2.016417, 8.671874], [2.844056, 3.189608, 3.379942, 4.025556, 4.456763], [1.853457, 2.098694, 2.141185, 2.703478, 14.163191], [0.731810, 0.773484, 0.831085, 1.038608, 6.989017], [3.192710, 3.198294, 3.593977, 3.898473, 4.561161], [4.446787, 5.027582, 5.292487, 6.356314, 12.581206]]
### 16
fourier: [[1.440190, 1.631918, 1.650959, 2.058533, 4.063413]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
vowel_consonant
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6903789937496185, "train_acc": 0.48, "val_loss": 0.7085658311843872, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6784521043300629, "train_acc": 0.57, "val_loss": 0.7190573215484619, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6927259564399719, "train_acc": 0.57, "val_loss": 0.7044874429702759, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6597975790500641, "train_acc": 0.57, "val_loss": 0.6568478345870972, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.8559411764144897, "train_acc": 0.505, "val_loss": 0.6386397480964661, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.656968504190445, "train_acc": 0.545, "val_loss": 0.6771067976951599, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6812168061733246, "train_acc": 0.625, "val_loss": 0.6835179924964905, "val_acc": 0.56}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.6853512227535248, "train_acc": 0.56, "val_loss": 0.6875959634780884, "val_acc": 0.54}], "summary": {"total_epochs": 8, "degraded_epochs": 4, "improved_epochs": 4, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.7085658311843872, "final_val_loss": 0.6568478345870972, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.6386397480964661, "final_val_loss": 0.6875959634780884, "initial_val_acc": 0.48, "final_val_acc": 0.54, "best_val_acc": 0.66, "best_epoch": 5}, "improvement": 0.18000000000000005, "first_improvement_epoch": 3}}
|
82
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.66, "improved_accuracy": 0.88, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9035, "learning_rate": 0.06297279981819921, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[33.874502, 36.233772, 36.366074, 36.845130, 153.807142], [17.096384, 17.255723, 18.099899, 18.444833, 82.149741], [22.103485, 22.574453, 22.673321, 23.156230, 226.051414], [19.794171, 21.365469, 25.129450, 26.091904, 28.823920], [24.169316, 25.726685, 26.684293, 26.749169, 147.847360], [22.153616, 23.785625, 25.148215, 30.173235, 199.298446], [28.500768, 28.655244, 29.567670, 31.294176, 231.870368], [16.270451, 16.586271, 16.929180, 19.125905, 21.626714]]
### 2
fourier: [[26.238915, 26.292845, 27.996116, 30.793019, 95.505969], [11.349185, 12.223140, 12.572575, 13.637074, 57.852809], [26.101919, 26.727923, 26.983913, 27.077186, 113.652749], [34.983936, 35.106957, 37.572620, 38.149416, 118.683654], [23.453756, 26.435091, 27.635444, 28.065916, 130.795606], [28.968601, 29.462419, 32.609629, 33.856332, 90.837492], [26.579944, 28.213274, 28.693339, 29.707613, 82.082094], [27.424499, 27.820454, 28.842412, 30.462799, 292.251003]]
### 4
fourier: [[44.839661, 46.218787, 48.276992, 52.349689, 85.082865], [16.635294, 18.045325, 18.938442, 22.332550, 88.466980], [54.876480, 54.896287, 56.961541, 57.954866, 176.373734], [56.415097, 56.577825, 56.941098, 58.664212, 187.256176], [35.790944, 36.102032, 39.470352, 42.058352, 43.878753], [27.426970, 27.735440, 30.618606, 34.572777, 255.306652], [39.666379, 40.547332, 41.047202, 42.876622, 132.337358], [42.362395, 45.028482, 46.154196, 48.650029, 52.846308]]
### 6
fourier: [[50.647702, 51.487577, 51.489337, 60.612332, 169.828177], [76.241687, 83.028294, 83.355560, 85.823358, 88.905509], [83.895004, 90.696266, 93.569999, 95.230710, 129.994144], [13.283188, 13.968642, 15.197309, 16.153144, 83.727666], [62.885197, 68.100973, 68.365026, 78.559776, 126.555477], [73.013011, 76.888381, 84.518243, 86.498077, 91.052473], [66.396293, 70.156082, 70.830590, 80.569085, 105.710051], [12.069111, 12.503411, 13.520726, 13.692843, 115.370424]]
### 8
fourier: [[134.173137, 137.638553, 151.195268, 154.013542, 171.701954], [67.156842, 69.969748, 73.444505, 86.496627, 229.905346], [111.813394, 117.734262, 122.225763, 141.432550, 217.252667], [53.324157, 53.538296, 61.380841, 69.248088, 257.186313], [46.979526, 47.129844, 52.283821, 60.008784, 182.236662], [93.875987, 93.962732, 94.759711, 98.859201, 176.341740], [62.415965, 62.664944, 64.492573, 65.971082, 120.389393], [76.286724, 77.294492, 78.499067, 80.733270, 124.866931]]
### 10
fourier: [[95.190985, 98.733823, 101.285121, 103.167841, 105.242851], [179.516478, 187.264235, 203.467675, 207.085872, 228.933020], [205.236041, 218.815442, 222.334277, 265.031480, 538.407019], [99.129444, 106.113999, 108.132318, 128.429631, 261.985470], [73.760805, 74.080987, 94.063875, 96.097934, 554.041924], [119.875873, 120.947155, 138.131707, 155.366812, 539.527242], [69.196419, 73.186658, 76.944942, 89.855156, 254.504002], [60.621598, 62.581856, 69.463479, 70.354250, 309.808941]]
### 12
fourier: [[135.237137, 136.865986, 145.014364, 169.109693, 296.644394], [42.360724, 42.828000, 44.504943, 46.109190, 46.137510], [139.883296, 143.866445, 180.961680, 181.158017, 960.936332], [112.979665, 122.381635, 125.274542, 140.215979, 140.542748], [186.333355, 188.649143, 223.086703, 243.691094, 969.085774], [85.068837, 87.784395, 97.252580, 99.157570, 423.030037], [85.962955, 86.757814, 110.103820, 111.402449, 609.248180], [53.808581, 54.991727, 65.514515, 70.904395, 274.512716]]
### 14
fourier: [[102.723257, 106.044201, 116.306085, 132.586686, 423.873542], [43.394801, 44.434332, 46.350787, 47.585055, 453.143122], [80.871138, 88.089354, 90.471359, 102.043852, 164.667356], [148.764920, 148.992444, 175.943310, 193.475466, 777.628871], [109.240305, 115.069493, 120.122648, 140.583309, 396.769508], [46.720027, 48.631735, 50.189382, 59.189203, 197.246146], [48.799218, 50.140294, 60.134549, 64.625265, 311.239143], [71.716547, 73.918572, 88.388455, 90.589133, 576.551056]]
### 16
fourier: [[61.670415, 66.466701, 66.805809, 79.677268, 211.769932]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[33.874502, 36.233772, 36.366074, 36.845130, 153.807142], [17.096384, 17.255723, 18.099899, 18.444833, 82.149741], [22.103485, 22.574453, 22.673321, 23.156230, 226.051414], [19.794171, 21.365469, 25.129450, 26.091904, 28.823920], [24.169316, 25.726685, 26.684293, 26.749169, 147.847360], [22.153616, 23.785625, 25.148215, 30.173235, 199.298446], [28.500768, 28.655244, 29.567670, 31.294176, 231.870368], [16.270451, 16.586271, 16.929180, 19.125905, 21.626714]]
### 2
fourier: [[26.238915, 26.292845, 27.996116, 30.793019, 95.505969], [11.349185, 12.223140, 12.572575, 13.637074, 57.852809], [26.101919, 26.727923, 26.983913, 27.077186, 113.652749], [34.983936, 35.106957, 37.572620, 38.149416, 118.683654], [23.453756, 26.435091, 27.635444, 28.065916, 130.795606], [28.968601, 29.462419, 32.609629, 33.856332, 90.837492], [26.579944, 28.213274, 28.693339, 29.707613, 82.082094], [27.424499, 27.820454, 28.842412, 30.462799, 292.251003]]
### 4
fourier: [[44.839661, 46.218787, 48.276992, 52.349689, 85.082865], [16.635294, 18.045325, 18.938442, 22.332550, 88.466980], [54.876480, 54.896287, 56.961541, 57.954866, 176.373734], [56.415097, 56.577825, 56.941098, 58.664212, 187.256176], [35.790944, 36.102032, 39.470352, 42.058352, 43.878753], [27.426970, 27.735440, 30.618606, 34.572777, 255.306652], [39.666379, 40.547332, 41.047202, 42.876622, 132.337358], [42.362395, 45.028482, 46.154196, 48.650029, 52.846308]]
### 6
fourier: [[50.647702, 51.487577, 51.489337, 60.612332, 169.828177], [76.241687, 83.028294, 83.355560, 85.823358, 88.905509], [83.895004, 90.696266, 93.569999, 95.230710, 129.994144], [13.283188, 13.968642, 15.197309, 16.153144, 83.727666], [62.885197, 68.100973, 68.365026, 78.559776, 126.555477], [73.013011, 76.888381, 84.518243, 86.498077, 91.052473], [66.396293, 70.156082, 70.830590, 80.569085, 105.710051], [12.069111, 12.503411, 13.520726, 13.692843, 115.370424]]
### 8
fourier: [[134.173137, 137.638553, 151.195268, 154.013542, 171.701954], [67.156842, 69.969748, 73.444505, 86.496627, 229.905346], [111.813394, 117.734262, 122.225763, 141.432550, 217.252667], [53.324157, 53.538296, 61.380841, 69.248088, 257.186313], [46.979526, 47.129844, 52.283821, 60.008784, 182.236662], [93.875987, 93.962732, 94.759711, 98.859201, 176.341740], [62.415965, 62.664944, 64.492573, 65.971082, 120.389393], [76.286724, 77.294492, 78.499067, 80.733270, 124.866931]]
### 10
fourier: [[95.190985, 98.733823, 101.285121, 103.167841, 105.242851], [179.516478, 187.264235, 203.467675, 207.085872, 228.933020], [205.236041, 218.815442, 222.334277, 265.031480, 538.407019], [99.129444, 106.113999, 108.132318, 128.429631, 261.985470], [73.760805, 74.080987, 94.063875, 96.097934, 554.041924], [119.875873, 120.947155, 138.131707, 155.366812, 539.527242], [69.196419, 73.186658, 76.944942, 89.855156, 254.504002], [60.621598, 62.581856, 69.463479, 70.354250, 309.808941]]
### 12
fourier: [[135.237137, 136.865986, 145.014364, 169.109693, 296.644394], [42.360724, 42.828000, 44.504943, 46.109190, 46.137510], [139.883296, 143.866445, 180.961680, 181.158017, 960.936332], [112.979665, 122.381635, 125.274542, 140.215979, 140.542748], [186.333355, 188.649143, 223.086703, 243.691094, 969.085774], [85.068837, 87.784395, 97.252580, 99.157570, 423.030037], [85.962955, 86.757814, 110.103820, 111.402449, 609.248180], [53.808581, 54.991727, 65.514515, 70.904395, 274.512716]]
### 14
fourier: [[102.723257, 106.044201, 116.306085, 132.586686, 423.873542], [43.394801, 44.434332, 46.350787, 47.585055, 453.143122], [80.871138, 88.089354, 90.471359, 102.043852, 164.667356], [148.764920, 148.992444, 175.943310, 193.475466, 777.628871], [109.240305, 115.069493, 120.122648, 140.583309, 396.769508], [46.720027, 48.631735, 50.189382, 59.189203, 197.246146], [48.799218, 50.140294, 60.134549, 64.625265, 311.239143], [71.716547, 73.918572, 88.388455, 90.589133, 576.551056]]
### 16
fourier: [[61.670415, 66.466701, 66.805809, 79.677268, 211.769932]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6857146322727203, "train_acc": 0.5, "val_loss": 0.7457724213600159, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6699118316173553, "train_acc": 0.59, "val_loss": 0.7721048593521118, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6783140003681183, "train_acc": 0.59, "val_loss": 0.7259553670883179, "val_acc": 0.42}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5286157876253128, "train_acc": 0.59, "val_loss": 0.48993560671806335, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.33763937652111053, "train_acc": 0.885, "val_loss": 9.2345552444458, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 2.4246326833963394, "train_acc": 0.785, "val_loss": 0.4439307153224945, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.34557923674583435, "train_acc": 0.855, "val_loss": 0.5101509690284729, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5573990941047668, "train_acc": 0.655, "val_loss": 0.602618396282196, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.6137281358242035, "train_acc": 0.685, "val_loss": 0.5951181650161743, "val_acc": 0.76}], "summary": {"total_epochs": 9, "degraded_epochs": 4, "improved_epochs": 5, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7457724213600159, "final_val_loss": 0.48993560671806335, "initial_val_acc": 0.42, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 9.2345552444458, "final_val_loss": 0.5951181650161743, "initial_val_acc": 0.48, "final_val_acc": 0.76, "best_val_acc": 0.88, "best_epoch": 5}, "improvement": 0.21999999999999997, "first_improvement_epoch": 3}}
|
83
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.4, "improved_accuracy": 0.92, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6008, "learning_rate": 0.05233751093130795, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[16.236208, 16.576460, 16.808391, 19.782765, 21.276417], [27.585586, 31.891605, 33.161526, 38.502835, 129.085440], [9.743027, 10.875827, 11.024425, 11.227619, 12.283959], [28.233049, 31.850267, 33.673592, 35.487433, 320.325275], [13.523558, 13.930609, 15.261149, 16.704433, 19.589801], [16.628020, 17.229890, 17.629135, 22.055364, 23.541044], [16.206042, 16.973396, 17.560724, 17.624092, 29.509651], [16.198043, 18.353504, 18.566315, 19.035407, 46.301366], [19.290272, 21.370595, 22.209751, 26.689902, 84.524013], [25.004212, 25.714912, 29.098334, 31.814407, 221.597611], [30.482403, 31.227464, 31.592454, 33.272261, 169.280755]]
### 2
fourier: [[4.133400, 5.124353, 5.791279, 6.837376, 7.320552], [23.547871, 25.512751, 28.382008, 31.052100, 140.330586], [11.960782, 13.118679, 16.012005, 19.672467, 83.273952], [9.741826, 11.667250, 13.885946, 14.586970, 21.052145], [15.862972, 17.308500, 21.044731, 21.913290, 96.841998], [5.626198, 5.913931, 6.169624, 6.786343, 20.139525], [10.489680, 11.902466, 12.827238, 13.699855, 58.407571], [7.955364, 7.957627, 9.583545, 10.719344, 10.923456], [8.748448, 9.475371, 10.344649, 11.530891, 11.763663], [18.359418, 19.535912, 23.920491, 25.978614, 83.682819], [17.501264, 17.929750, 18.909536, 23.815692, 106.240541]]
### 4
fourier: [[13.756847, 14.224312, 16.070774, 17.079691, 18.733636], [19.334526, 19.389665, 23.376201, 24.071300, 145.987751], [13.545911, 14.370571, 17.207687, 18.385824, 24.436557], [6.963915, 7.707565, 8.789355, 9.051308, 61.186935], [9.002792, 9.978761, 10.042994, 10.526888, 13.476143], [8.521248, 9.037824, 9.404588, 11.028467, 68.127066], [4.891676, 5.689416, 5.695693, 6.059538, 26.364372], [5.558135, 6.144466, 6.297714, 7.224520, 7.381464], [10.444083, 11.152101, 13.746158, 15.363552, 64.188055], [35.995774, 36.895544, 45.009623, 45.858938, 167.846884], [9.264538, 10.978894, 11.257226, 12.017594, 22.732810]]
### 6
fourier: [[18.745680, 20.117218, 22.903665, 24.984753, 64.073921], [10.333547, 10.841591, 11.795176, 13.917536, 14.602617], [3.161890, 3.171064, 3.655055, 4.765192, 37.615875], [19.585694, 20.139490, 23.382590, 25.606820, 94.365877], [13.208441, 14.287807, 16.916799, 18.033886, 23.060945], [9.219562, 9.788951, 11.806420, 11.843945, 14.212196], [7.745740, 8.228266, 9.806051, 9.876152, 13.070180], [4.619009, 4.642657, 5.588138, 6.904498, 15.058523], [11.572920, 12.190451, 13.036478, 15.256838, 49.204194], [25.073408, 25.339104, 30.360803, 31.990756, 104.749007], [20.921636, 21.792414, 26.488336, 27.443578, 65.082662]]
### 8
fourier: [[13.477078, 13.803357, 14.804661, 17.502549, 45.016993], [27.639420, 28.878693, 33.565278, 35.618711, 108.146764], [9.025687, 9.391331, 10.870846, 11.281151, 45.617111], [27.926632, 29.588150, 34.486691, 36.018763, 83.845278], [3.962481, 4.471603, 5.119085, 5.229293, 21.021977], [32.167263, 33.608622, 38.874252, 41.317535, 131.860093], [29.865911, 31.622076, 36.935160, 38.582701, 113.205142], [35.961873, 38.221014, 45.168686, 46.247670, 132.735779], [8.791059, 9.649933, 11.461768, 12.036958, 30.054654], [18.066403, 18.690803, 22.040437, 22.900787, 86.118683], [13.726629, 14.624420, 17.533611, 17.871635, 97.300647]]
### 10
fourier: [[2.613162, 2.637493, 2.702497, 3.515437, 25.716487], [12.721112, 14.488454, 16.365839, 17.036796, 58.774538], [53.300526, 59.512771, 68.874707, 69.706445, 242.207340], [38.444195, 42.995608, 49.398295, 50.431420, 178.081918], [18.646498, 20.274556, 23.144942, 24.678388, 83.274012], [58.676606, 65.770395, 76.303241, 76.715626, 259.671303], [0.959905, 1.136130, 1.257684, 1.429119, 12.648632], [42.670693, 48.082219, 55.635301, 55.807764, 184.208014], [0.942044, 1.151799, 1.172564, 1.408455, 20.389386], [7.239805, 7.506056, 8.428977, 9.548401, 42.814826], [3.658151, 4.240796, 4.508952, 5.600167, 21.037369]]
### 12
fourier: [[51.191182, 58.252463, 67.343647, 67.363532, 219.291900], [10.832709, 12.476227, 14.172417, 14.571967, 76.461157], [39.981255, 45.487290, 52.448193, 52.583141, 193.599604], [60.366885, 68.403889, 79.005279, 79.572603, 283.129846], [32.482551, 36.972096, 42.535782, 42.893759, 137.935872], [30.195695, 34.360361, 39.748060, 39.773122, 139.805496], [70.007273, 79.300223, 91.588644, 92.062936, 327.582640], [50.146216, 56.908288, 65.629925, 66.115411, 226.991010], [7.146931, 8.023216, 9.111953, 9.496442, 58.650965], [3.424284, 4.154058, 4.269353, 5.124466, 12.615927], [71.292072, 81.185756, 93.720302, 93.960936, 301.648684]]
### 14
fourier: [[57.819824, 66.055062, 76.198224, 76.410047, 241.611755]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[16.236208, 16.576460, 16.808391, 19.782765, 21.276417], [27.585586, 31.891605, 33.161526, 38.502835, 129.085440], [9.743027, 10.875827, 11.024425, 11.227619, 12.283959], [28.233049, 31.850267, 33.673592, 35.487433, 320.325275], [13.523558, 13.930609, 15.261149, 16.704433, 19.589801], [16.628020, 17.229890, 17.629135, 22.055364, 23.541044], [16.206042, 16.973396, 17.560724, 17.624092, 29.509651], [16.198043, 18.353504, 18.566315, 19.035407, 46.301366], [19.290272, 21.370595, 22.209751, 26.689902, 84.524013], [25.004212, 25.714912, 29.098334, 31.814407, 221.597611], [30.482403, 31.227464, 31.592454, 33.272261, 169.280755]]
### 2
fourier: [[4.133400, 5.124353, 5.791279, 6.837376, 7.320552], [23.547871, 25.512751, 28.382008, 31.052100, 140.330586], [11.960782, 13.118679, 16.012005, 19.672467, 83.273952], [9.741826, 11.667250, 13.885946, 14.586970, 21.052145], [15.862972, 17.308500, 21.044731, 21.913290, 96.841998], [5.626198, 5.913931, 6.169624, 6.786343, 20.139525], [10.489680, 11.902466, 12.827238, 13.699855, 58.407571], [7.955364, 7.957627, 9.583545, 10.719344, 10.923456], [8.748448, 9.475371, 10.344649, 11.530891, 11.763663], [18.359418, 19.535912, 23.920491, 25.978614, 83.682819], [17.501264, 17.929750, 18.909536, 23.815692, 106.240541]]
### 4
fourier: [[13.756847, 14.224312, 16.070774, 17.079691, 18.733636], [19.334526, 19.389665, 23.376201, 24.071300, 145.987751], [13.545911, 14.370571, 17.207687, 18.385824, 24.436557], [6.963915, 7.707565, 8.789355, 9.051308, 61.186935], [9.002792, 9.978761, 10.042994, 10.526888, 13.476143], [8.521248, 9.037824, 9.404588, 11.028467, 68.127066], [4.891676, 5.689416, 5.695693, 6.059538, 26.364372], [5.558135, 6.144466, 6.297714, 7.224520, 7.381464], [10.444083, 11.152101, 13.746158, 15.363552, 64.188055], [35.995774, 36.895544, 45.009623, 45.858938, 167.846884], [9.264538, 10.978894, 11.257226, 12.017594, 22.732810]]
### 6
fourier: [[18.745680, 20.117218, 22.903665, 24.984753, 64.073921], [10.333547, 10.841591, 11.795176, 13.917536, 14.602617], [3.161890, 3.171064, 3.655055, 4.765192, 37.615875], [19.585694, 20.139490, 23.382590, 25.606820, 94.365877], [13.208441, 14.287807, 16.916799, 18.033886, 23.060945], [9.219562, 9.788951, 11.806420, 11.843945, 14.212196], [7.745740, 8.228266, 9.806051, 9.876152, 13.070180], [4.619009, 4.642657, 5.588138, 6.904498, 15.058523], [11.572920, 12.190451, 13.036478, 15.256838, 49.204194], [25.073408, 25.339104, 30.360803, 31.990756, 104.749007], [20.921636, 21.792414, 26.488336, 27.443578, 65.082662]]
### 8
fourier: [[13.477078, 13.803357, 14.804661, 17.502549, 45.016993], [27.639420, 28.878693, 33.565278, 35.618711, 108.146764], [9.025687, 9.391331, 10.870846, 11.281151, 45.617111], [27.926632, 29.588150, 34.486691, 36.018763, 83.845278], [3.962481, 4.471603, 5.119085, 5.229293, 21.021977], [32.167263, 33.608622, 38.874252, 41.317535, 131.860093], [29.865911, 31.622076, 36.935160, 38.582701, 113.205142], [35.961873, 38.221014, 45.168686, 46.247670, 132.735779], [8.791059, 9.649933, 11.461768, 12.036958, 30.054654], [18.066403, 18.690803, 22.040437, 22.900787, 86.118683], [13.726629, 14.624420, 17.533611, 17.871635, 97.300647]]
### 10
fourier: [[2.613162, 2.637493, 2.702497, 3.515437, 25.716487], [12.721112, 14.488454, 16.365839, 17.036796, 58.774538], [53.300526, 59.512771, 68.874707, 69.706445, 242.207340], [38.444195, 42.995608, 49.398295, 50.431420, 178.081918], [18.646498, 20.274556, 23.144942, 24.678388, 83.274012], [58.676606, 65.770395, 76.303241, 76.715626, 259.671303], [0.959905, 1.136130, 1.257684, 1.429119, 12.648632], [42.670693, 48.082219, 55.635301, 55.807764, 184.208014], [0.942044, 1.151799, 1.172564, 1.408455, 20.389386], [7.239805, 7.506056, 8.428977, 9.548401, 42.814826], [3.658151, 4.240796, 4.508952, 5.600167, 21.037369]]
### 12
fourier: [[51.191182, 58.252463, 67.343647, 67.363532, 219.291900], [10.832709, 12.476227, 14.172417, 14.571967, 76.461157], [39.981255, 45.487290, 52.448193, 52.583141, 193.599604], [60.366885, 68.403889, 79.005279, 79.572603, 283.129846], [32.482551, 36.972096, 42.535782, 42.893759, 137.935872], [30.195695, 34.360361, 39.748060, 39.773122, 139.805496], [70.007273, 79.300223, 91.588644, 92.062936, 327.582640], [50.146216, 56.908288, 65.629925, 66.115411, 226.991010], [7.146931, 8.023216, 9.111953, 9.496442, 58.650965], [3.424284, 4.154058, 4.269353, 5.124466, 12.615927], [71.292072, 81.185756, 93.720302, 93.960936, 301.648684]]
### 14
fourier: [[57.819824, 66.055062, 76.198224, 76.410047, 241.611755]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6994316279888153, "train_acc": 0.465, "val_loss": 0.74237459897995, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7332817614078522, "train_acc": 0.605, "val_loss": 0.702282726764679, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5900372862815857, "train_acc": 0.525, "val_loss": 0.43561363220214844, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3947480618953705, "train_acc": 0.86, "val_loss": 4.371007919311523, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 1.7990618348121643, "train_acc": 0.685, "val_loss": 0.388345330953598, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4575127363204956, "train_acc": 0.775, "val_loss": 0.4098724126815796, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5456467568874359, "train_acc": 0.685, "val_loss": 0.4155692756175995, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5748430490493774, "train_acc": 0.665, "val_loss": 0.4454093277454376, "val_acc": 0.84}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.74237459897995, "final_val_loss": 0.702282726764679, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.43561363220214844, "final_val_loss": 0.4454093277454376, "initial_val_acc": 0.92, "final_val_acc": 0.84, "best_val_acc": 0.92, "best_epoch": 2}, "improvement": 0.52, "first_improvement_epoch": 1}}
|
84
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4211, "learning_rate": 0.038871271727713465, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[28.803758, 29.584609, 31.296647, 31.571761, 151.178073], [34.472166, 37.393995, 43.703531, 47.418012, 286.335011], [34.863788, 35.725916, 39.046529, 40.331846, 181.712296], [22.024083, 22.087596, 23.927594, 26.107111, 196.213606], [23.838276, 25.781499, 29.386525, 29.446997, 279.284367], [24.923805, 24.988315, 25.205689, 25.554230, 75.998169], [23.675292, 24.387807, 25.793023, 28.181280, 67.153560], [17.722258, 18.037577, 20.601235, 22.928535, 94.424881]]
### 2
fourier: [[13.644970, 13.864524, 14.815492, 16.142820, 89.597872], [35.610782, 36.487180, 37.214483, 40.101344, 71.597225], [19.330879, 20.469080, 21.011521, 22.655301, 83.718565], [9.719633, 10.343847, 13.565763, 13.710085, 91.925702], [9.548780, 9.583462, 10.666172, 11.394899, 41.333491], [8.202204, 8.648754, 9.232125, 9.357714, 90.624027], [14.030761, 14.767166, 15.200709, 16.341510, 104.630246], [27.721006, 28.485071, 31.816179, 33.033586, 96.247358]]
### 4
fourier: [[6.139062, 6.167771, 7.513094, 7.892773, 113.495069], [27.454574, 27.769896, 28.103276, 29.586164, 32.649939], [28.366401, 28.531482, 29.843628, 30.429672, 55.201175], [5.779342, 6.287974, 6.601045, 6.694370, 53.445712], [19.600997, 19.706694, 19.954797, 20.309129, 43.827608], [11.479662, 11.814337, 12.563316, 12.636120, 59.109967], [21.205939, 21.638243, 23.580681, 23.755549, 52.127864], [7.839165, 8.233149, 9.195425, 9.397065, 37.212825]]
### 6
fourier: [[1.899343, 1.948162, 2.154086, 2.246255, 60.653555], [23.957995, 24.628560, 28.147694, 29.179164, 30.971272], [43.480307, 47.711300, 53.697953, 53.783727, 104.465401], [32.079904, 34.875393, 35.837278, 41.023237, 42.134290], [28.699466, 30.688018, 34.783797, 35.261723, 75.382133], [3.570472, 3.705716, 3.869763, 3.921980, 50.579725], [52.139745, 55.674011, 63.067417, 63.954031, 114.579283], [17.247092, 20.983900, 21.311665, 22.767311, 115.276450]]
### 8
fourier: [[85.173082, 97.669877, 107.316705, 108.823175, 257.171870], [71.840614, 81.685779, 90.270708, 90.763313, 187.672219], [61.789226, 69.953982, 77.535654, 77.695078, 184.137371], [1.895145, 2.369122, 2.434972, 2.559073, 8.752781], [50.972663, 57.786261, 64.033046, 64.365914, 138.822711], [17.946389, 20.822887, 22.656308, 23.258110, 67.451437], [30.436846, 34.732831, 38.324804, 38.655164, 98.958342], [29.045184, 32.632150, 36.263880, 36.277183, 91.515946]]
### 10
fourier: [[37.985874, 43.553327, 47.949220, 48.659895, 119.516874], [8.951043, 10.265572, 11.245568, 11.388752, 34.313260], [82.918951, 95.187778, 104.740781, 106.446977, 232.434045], [37.460629, 43.072767, 47.302685, 48.135851, 130.251302], [0.464354, 0.533590, 0.546438, 0.557549, 34.776643], [14.514456, 16.737824, 18.394228, 18.800818, 53.647285], [55.601292, 63.686751, 70.095294, 71.024696, 162.075727], [17.502600, 20.068026, 22.024121, 22.316434, 81.590482]]
### 12
fourier: [[4.703105, 5.411215, 5.950025, 6.064922, 7.504133], [8.323370, 9.576556, 10.530121, 10.733460, 24.124398], [30.601990, 35.209499, 38.715407, 39.463013, 84.155545], [20.161527, 23.197096, 25.506896, 25.999441, 73.122114], [39.822381, 45.818136, 50.380376, 51.353236, 115.741836], [21.497741, 24.734493, 27.197376, 27.722564, 89.678835], [3.331980, 3.833651, 4.215379, 4.296779, 24.924162], [21.584284, 24.834067, 27.306864, 27.834167, 32.948286]]
### 14
fourier: [[14.088502, 15.764415, 17.521553, 17.787788, 23.540798], [10.733985, 11.522686, 13.643199, 14.783868, 15.227187], [37.513813, 42.765321, 47.244004, 48.172360, 107.664206], [13.296556, 14.485432, 16.249968, 16.309620, 24.378622], [9.614723, 11.428327, 12.421295, 12.756148, 49.503632], [12.372198, 13.399625, 15.111072, 15.194864, 19.115562], [4.820447, 5.804993, 6.074397, 6.405923, 46.954121], [12.822447, 15.086932, 16.431736, 16.845414, 49.090673]]
### 16
fourier: [[22.285122, 23.835950, 25.714940, 27.157522, 27.268973]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[28.803758, 29.584609, 31.296647, 31.571761, 151.178073], [34.472166, 37.393995, 43.703531, 47.418012, 286.335011], [34.863788, 35.725916, 39.046529, 40.331846, 181.712296], [22.024083, 22.087596, 23.927594, 26.107111, 196.213606], [23.838276, 25.781499, 29.386525, 29.446997, 279.284367], [24.923805, 24.988315, 25.205689, 25.554230, 75.998169], [23.675292, 24.387807, 25.793023, 28.181280, 67.153560], [17.722258, 18.037577, 20.601235, 22.928535, 94.424881]]
### 2
fourier: [[13.644970, 13.864524, 14.815492, 16.142820, 89.597872], [35.610782, 36.487180, 37.214483, 40.101344, 71.597225], [19.330879, 20.469080, 21.011521, 22.655301, 83.718565], [9.719633, 10.343847, 13.565763, 13.710085, 91.925702], [9.548780, 9.583462, 10.666172, 11.394899, 41.333491], [8.202204, 8.648754, 9.232125, 9.357714, 90.624027], [14.030761, 14.767166, 15.200709, 16.341510, 104.630246], [27.721006, 28.485071, 31.816179, 33.033586, 96.247358]]
### 4
fourier: [[6.139062, 6.167771, 7.513094, 7.892773, 113.495069], [27.454574, 27.769896, 28.103276, 29.586164, 32.649939], [28.366401, 28.531482, 29.843628, 30.429672, 55.201175], [5.779342, 6.287974, 6.601045, 6.694370, 53.445712], [19.600997, 19.706694, 19.954797, 20.309129, 43.827608], [11.479662, 11.814337, 12.563316, 12.636120, 59.109967], [21.205939, 21.638243, 23.580681, 23.755549, 52.127864], [7.839165, 8.233149, 9.195425, 9.397065, 37.212825]]
### 6
fourier: [[1.899343, 1.948162, 2.154086, 2.246255, 60.653555], [23.957995, 24.628560, 28.147694, 29.179164, 30.971272], [43.480307, 47.711300, 53.697953, 53.783727, 104.465401], [32.079904, 34.875393, 35.837278, 41.023237, 42.134290], [28.699466, 30.688018, 34.783797, 35.261723, 75.382133], [3.570472, 3.705716, 3.869763, 3.921980, 50.579725], [52.139745, 55.674011, 63.067417, 63.954031, 114.579283], [17.247092, 20.983900, 21.311665, 22.767311, 115.276450]]
### 8
fourier: [[85.173082, 97.669877, 107.316705, 108.823175, 257.171870], [71.840614, 81.685779, 90.270708, 90.763313, 187.672219], [61.789226, 69.953982, 77.535654, 77.695078, 184.137371], [1.895145, 2.369122, 2.434972, 2.559073, 8.752781], [50.972663, 57.786261, 64.033046, 64.365914, 138.822711], [17.946389, 20.822887, 22.656308, 23.258110, 67.451437], [30.436846, 34.732831, 38.324804, 38.655164, 98.958342], [29.045184, 32.632150, 36.263880, 36.277183, 91.515946]]
### 10
fourier: [[37.985874, 43.553327, 47.949220, 48.659895, 119.516874], [8.951043, 10.265572, 11.245568, 11.388752, 34.313260], [82.918951, 95.187778, 104.740781, 106.446977, 232.434045], [37.460629, 43.072767, 47.302685, 48.135851, 130.251302], [0.464354, 0.533590, 0.546438, 0.557549, 34.776643], [14.514456, 16.737824, 18.394228, 18.800818, 53.647285], [55.601292, 63.686751, 70.095294, 71.024696, 162.075727], [17.502600, 20.068026, 22.024121, 22.316434, 81.590482]]
### 12
fourier: [[4.703105, 5.411215, 5.950025, 6.064922, 7.504133], [8.323370, 9.576556, 10.530121, 10.733460, 24.124398], [30.601990, 35.209499, 38.715407, 39.463013, 84.155545], [20.161527, 23.197096, 25.506896, 25.999441, 73.122114], [39.822381, 45.818136, 50.380376, 51.353236, 115.741836], [21.497741, 24.734493, 27.197376, 27.722564, 89.678835], [3.331980, 3.833651, 4.215379, 4.296779, 24.924162], [21.584284, 24.834067, 27.306864, 27.834167, 32.948286]]
### 14
fourier: [[14.088502, 15.764415, 17.521553, 17.787788, 23.540798], [10.733985, 11.522686, 13.643199, 14.783868, 15.227187], [37.513813, 42.765321, 47.244004, 48.172360, 107.664206], [13.296556, 14.485432, 16.249968, 16.309620, 24.378622], [9.614723, 11.428327, 12.421295, 12.756148, 49.503632], [12.372198, 13.399625, 15.111072, 15.194864, 19.115562], [4.820447, 5.804993, 6.074397, 6.405923, 46.954121], [12.822447, 15.086932, 16.431736, 16.845414, 49.090673]]
### 16
fourier: [[22.285122, 23.835950, 25.714940, 27.157522, 27.268973]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6836788952350616, "train_acc": 0.575, "val_loss": 0.7037913799285889, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6784632802009583, "train_acc": 0.575, "val_loss": 0.7103322744369507, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6753441393375397, "train_acc": 0.575, "val_loss": 0.7016175985336304, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.667413741350174, "train_acc": 0.575, "val_loss": 0.6598410606384277, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6225963830947876, "train_acc": 0.62, "val_loss": 0.4614414870738983, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.42608658969402313, "train_acc": 0.82, "val_loss": 0.27256324887275696, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3230135291814804, "train_acc": 0.905, "val_loss": 0.24399933218955994, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.25419532507658005, "train_acc": 0.915, "val_loss": 0.1875934600830078, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.2387990653514862, "train_acc": 0.92, "val_loss": 0.14157640933990479, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.18188196420669556, "train_acc": 0.93, "val_loss": 0.15470808744430542, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.1649651601910591, "train_acc": 0.945, "val_loss": 0.13160566985607147, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.1629767268896103, "train_acc": 0.92, "val_loss": 0.1545500010251999, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.14198551326990128, "train_acc": 0.94, "val_loss": 0.16873107850551605, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.13977567106485367, "train_acc": 0.94, "val_loss": 0.12894833087921143, "val_acc": 0.94}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7037913799285889, "final_val_loss": 0.6598410606384277, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.4614414870738983, "final_val_loss": 0.12894833087921143, "initial_val_acc": 0.86, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 5}, "improvement": 0.48, "first_improvement_epoch": 3}}
|
85
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 1.0, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 11, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4634, "learning_rate": 0.018804108780871603, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[13.454506, 14.579122, 14.591934, 17.581595, 39.640082], [12.173677, 12.670859, 13.899875, 16.391371, 92.108548], [12.278285, 14.750386, 14.959928, 15.241645, 68.061558], [19.085483, 20.890350, 23.752298, 27.558541, 79.096301], [11.349377, 11.951664, 12.593277, 13.313838, 78.180786], [17.141670, 17.143514, 18.709660, 20.264713, 91.357035], [23.797082, 23.985225, 24.925494, 26.018939, 175.574625], [18.874944, 18.917395, 19.602487, 25.486893, 76.217409], [16.025997, 16.814162, 17.082505, 18.112751, 18.350387], [23.086168, 23.380885, 24.194590, 24.958890, 109.697866], [18.892057, 20.612548, 21.790949, 22.791211, 83.154478]]
### 2
fourier: [[16.417946, 16.840368, 18.157787, 19.363504, 151.227966], [15.761422, 16.350905, 18.609077, 19.022107, 163.170350], [10.094329, 10.511309, 11.318281, 11.643265, 25.027632], [14.495835, 15.065144, 17.971918, 18.315397, 74.853718], [27.188342, 27.250877, 30.849472, 31.284717, 214.385020], [6.698858, 7.166617, 7.803154, 8.276396, 9.115847], [13.440019, 14.618486, 15.848049, 16.870440, 103.996269], [12.504361, 14.034491, 14.087274, 18.442399, 92.511225], [5.290417, 5.358106, 5.690693, 6.346629, 18.683803], [8.479503, 8.957984, 10.730392, 11.044355, 38.197404], [7.220924, 7.325006, 7.502148, 9.640092, 47.182196]]
### 4
fourier: [[27.633567, 31.641862, 32.529195, 34.025656, 218.350975], [5.120652, 5.725267, 6.144782, 6.788525, 31.764486], [6.556970, 6.630854, 7.896217, 8.242325, 17.773624], [11.131567, 11.846493, 12.647973, 13.006625, 98.793571], [7.639110, 8.367696, 8.889813, 9.581197, 75.211798], [13.612981, 15.525830, 16.189961, 16.507789, 77.713089], [18.362507, 21.892891, 22.424197, 23.084688, 110.929169], [7.387724, 7.586075, 7.615759, 8.756993, 27.863389], [4.610111, 4.745700, 5.436340, 5.456826, 5.517935], [17.142502, 18.395112, 21.803082, 22.657415, 124.335547], [18.968060, 22.922648, 23.715106, 24.151048, 133.440284]]
### 6
fourier: [[27.044937, 32.744019, 33.785107, 34.112328, 193.879334], [12.480391, 12.656364, 14.769017, 16.333932, 28.069022], [24.780515, 29.950711, 31.274757, 31.690200, 193.904088], [6.687041, 7.632098, 8.464002, 8.761154, 29.575937], [13.360247, 13.425502, 15.810211, 15.890438, 130.447461], [26.761209, 31.932360, 32.835733, 33.483145, 214.890110], [9.830369, 10.057817, 11.943534, 12.943664, 26.014496], [11.562649, 11.767530, 12.999538, 14.972514, 38.126197], [32.224021, 38.426353, 39.647173, 40.503858, 222.052708], [11.365198, 13.708347, 13.972148, 15.120799, 46.295376], [32.800368, 39.300074, 41.742040, 41.918689, 234.465595]]
### 8
fourier: [[36.697225, 45.231051, 45.477778, 47.142289, 277.690416], [40.479992, 50.660380, 50.734720, 51.964009, 261.981242], [11.603034, 13.112485, 13.145820, 13.792947, 29.365635], [31.856278, 39.634234, 39.782980, 40.957421, 208.823757], [42.365019, 52.997521, 53.068560, 54.546290, 314.456416], [38.812157, 48.318110, 48.416333, 50.214903, 268.394724], [13.602019, 16.169921, 16.189692, 16.821396, 32.048902], [34.434471, 42.288653, 42.435481, 43.896606, 273.573014], [34.947412, 44.430827, 45.160665, 45.278355, 258.606687], [20.367907, 24.306012, 24.331857, 25.010257, 62.674122], [41.586676, 53.102203, 53.324587, 53.975504, 274.531810]]
### 10
fourier: [[46.604939, 58.723924, 60.588420, 61.061545, 267.150146], [73.107552, 88.829649, 92.380398, 94.466574, 533.915831], [40.060262, 50.370367, 52.263592, 52.443022, 256.830297], [31.291772, 39.847234, 40.173415, 40.645320, 138.982994], [71.018776, 86.426594, 89.627540, 91.610406, 499.640577], [73.095543, 90.825134, 93.740923, 95.264173, 510.028163], [78.898607, 95.772976, 99.826762, 101.920556, 564.487504], [69.286003, 85.662493, 88.830924, 90.102809, 505.789334], [27.603907, 34.707479, 36.205276, 36.264141, 143.672628], [91.433881, 112.399116, 116.501300, 118.580263, 636.637736], [66.093324, 83.934003, 86.655699, 87.058832, 440.747400]]
### 12
fourier: [[153.995598, 188.036184, 197.598525, 200.144653, 1082.067267], [68.661221, 85.418824, 88.325934, 89.352180, 425.615652], [114.549234, 141.578992, 147.619362, 149.232996, 772.087831], [141.166345, 174.191422, 182.402461, 184.146461, 981.740804], [67.800995, 82.266229, 86.776845, 87.751426, 441.376738], [103.268898, 126.006630, 132.902138, 134.438274, 708.167746], [163.285387, 200.440354, 210.596371, 212.894687, 1155.335295], [129.035587, 159.611025, 166.920425, 168.732556, 896.082904], [76.354335, 94.091461, 98.029467, 99.234937, 496.577066], [141.619139, 173.368857, 181.532206, 183.981184, 1009.327596], [162.745409, 200.381027, 210.001613, 212.454231, 1160.692123]]
### 14
fourier: [[206.677189, 253.196827, 266.156451, 269.092846, 1454.989031], [286.895891, 350.890987, 368.614039, 373.254313, 2072.295411], [287.373473, 351.675497, 369.438987, 374.001367, 2065.605634], [182.719867, 223.862002, 235.261211, 238.021382, 1280.961258], [296.576686, 363.185218, 381.652519, 386.236028, 2144.595462], [162.771452, 198.802863, 208.964012, 211.532250, 1126.300127], [364.774298, 446.116279, 469.536323, 474.973147, 2634.001389], [221.903655, 272.194564, 285.676383, 289.010836, 1578.766177], [190.516049, 233.593890, 245.191901, 248.065657, 1318.203009], [179.431817, 219.035951, 230.438736, 233.265024, 1251.249389], [273.713900, 334.664502, 352.203609, 356.292412, 1942.665047]]
### 16
fourier: [[478.910688, 585.260427, 615.628868, 623.139225, 3433.317397]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 11
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[13.454506, 14.579122, 14.591934, 17.581595, 39.640082], [12.173677, 12.670859, 13.899875, 16.391371, 92.108548], [12.278285, 14.750386, 14.959928, 15.241645, 68.061558], [19.085483, 20.890350, 23.752298, 27.558541, 79.096301], [11.349377, 11.951664, 12.593277, 13.313838, 78.180786], [17.141670, 17.143514, 18.709660, 20.264713, 91.357035], [23.797082, 23.985225, 24.925494, 26.018939, 175.574625], [18.874944, 18.917395, 19.602487, 25.486893, 76.217409], [16.025997, 16.814162, 17.082505, 18.112751, 18.350387], [23.086168, 23.380885, 24.194590, 24.958890, 109.697866], [18.892057, 20.612548, 21.790949, 22.791211, 83.154478]]
### 2
fourier: [[16.417946, 16.840368, 18.157787, 19.363504, 151.227966], [15.761422, 16.350905, 18.609077, 19.022107, 163.170350], [10.094329, 10.511309, 11.318281, 11.643265, 25.027632], [14.495835, 15.065144, 17.971918, 18.315397, 74.853718], [27.188342, 27.250877, 30.849472, 31.284717, 214.385020], [6.698858, 7.166617, 7.803154, 8.276396, 9.115847], [13.440019, 14.618486, 15.848049, 16.870440, 103.996269], [12.504361, 14.034491, 14.087274, 18.442399, 92.511225], [5.290417, 5.358106, 5.690693, 6.346629, 18.683803], [8.479503, 8.957984, 10.730392, 11.044355, 38.197404], [7.220924, 7.325006, 7.502148, 9.640092, 47.182196]]
### 4
fourier: [[27.633567, 31.641862, 32.529195, 34.025656, 218.350975], [5.120652, 5.725267, 6.144782, 6.788525, 31.764486], [6.556970, 6.630854, 7.896217, 8.242325, 17.773624], [11.131567, 11.846493, 12.647973, 13.006625, 98.793571], [7.639110, 8.367696, 8.889813, 9.581197, 75.211798], [13.612981, 15.525830, 16.189961, 16.507789, 77.713089], [18.362507, 21.892891, 22.424197, 23.084688, 110.929169], [7.387724, 7.586075, 7.615759, 8.756993, 27.863389], [4.610111, 4.745700, 5.436340, 5.456826, 5.517935], [17.142502, 18.395112, 21.803082, 22.657415, 124.335547], [18.968060, 22.922648, 23.715106, 24.151048, 133.440284]]
### 6
fourier: [[27.044937, 32.744019, 33.785107, 34.112328, 193.879334], [12.480391, 12.656364, 14.769017, 16.333932, 28.069022], [24.780515, 29.950711, 31.274757, 31.690200, 193.904088], [6.687041, 7.632098, 8.464002, 8.761154, 29.575937], [13.360247, 13.425502, 15.810211, 15.890438, 130.447461], [26.761209, 31.932360, 32.835733, 33.483145, 214.890110], [9.830369, 10.057817, 11.943534, 12.943664, 26.014496], [11.562649, 11.767530, 12.999538, 14.972514, 38.126197], [32.224021, 38.426353, 39.647173, 40.503858, 222.052708], [11.365198, 13.708347, 13.972148, 15.120799, 46.295376], [32.800368, 39.300074, 41.742040, 41.918689, 234.465595]]
### 8
fourier: [[36.697225, 45.231051, 45.477778, 47.142289, 277.690416], [40.479992, 50.660380, 50.734720, 51.964009, 261.981242], [11.603034, 13.112485, 13.145820, 13.792947, 29.365635], [31.856278, 39.634234, 39.782980, 40.957421, 208.823757], [42.365019, 52.997521, 53.068560, 54.546290, 314.456416], [38.812157, 48.318110, 48.416333, 50.214903, 268.394724], [13.602019, 16.169921, 16.189692, 16.821396, 32.048902], [34.434471, 42.288653, 42.435481, 43.896606, 273.573014], [34.947412, 44.430827, 45.160665, 45.278355, 258.606687], [20.367907, 24.306012, 24.331857, 25.010257, 62.674122], [41.586676, 53.102203, 53.324587, 53.975504, 274.531810]]
### 10
fourier: [[46.604939, 58.723924, 60.588420, 61.061545, 267.150146], [73.107552, 88.829649, 92.380398, 94.466574, 533.915831], [40.060262, 50.370367, 52.263592, 52.443022, 256.830297], [31.291772, 39.847234, 40.173415, 40.645320, 138.982994], [71.018776, 86.426594, 89.627540, 91.610406, 499.640577], [73.095543, 90.825134, 93.740923, 95.264173, 510.028163], [78.898607, 95.772976, 99.826762, 101.920556, 564.487504], [69.286003, 85.662493, 88.830924, 90.102809, 505.789334], [27.603907, 34.707479, 36.205276, 36.264141, 143.672628], [91.433881, 112.399116, 116.501300, 118.580263, 636.637736], [66.093324, 83.934003, 86.655699, 87.058832, 440.747400]]
### 12
fourier: [[153.995598, 188.036184, 197.598525, 200.144653, 1082.067267], [68.661221, 85.418824, 88.325934, 89.352180, 425.615652], [114.549234, 141.578992, 147.619362, 149.232996, 772.087831], [141.166345, 174.191422, 182.402461, 184.146461, 981.740804], [67.800995, 82.266229, 86.776845, 87.751426, 441.376738], [103.268898, 126.006630, 132.902138, 134.438274, 708.167746], [163.285387, 200.440354, 210.596371, 212.894687, 1155.335295], [129.035587, 159.611025, 166.920425, 168.732556, 896.082904], [76.354335, 94.091461, 98.029467, 99.234937, 496.577066], [141.619139, 173.368857, 181.532206, 183.981184, 1009.327596], [162.745409, 200.381027, 210.001613, 212.454231, 1160.692123]]
### 14
fourier: [[206.677189, 253.196827, 266.156451, 269.092846, 1454.989031], [286.895891, 350.890987, 368.614039, 373.254313, 2072.295411], [287.373473, 351.675497, 369.438987, 374.001367, 2065.605634], [182.719867, 223.862002, 235.261211, 238.021382, 1280.961258], [296.576686, 363.185218, 381.652519, 386.236028, 2144.595462], [162.771452, 198.802863, 208.964012, 211.532250, 1126.300127], [364.774298, 446.116279, 469.536323, 474.973147, 2634.001389], [221.903655, 272.194564, 285.676383, 289.010836, 1578.766177], [190.516049, 233.593890, 245.191901, 248.065657, 1318.203009], [179.431817, 219.035951, 230.438736, 233.265024, 1251.249389], [273.713900, 334.664502, 352.203609, 356.292412, 1942.665047]]
### 16
fourier: [[478.910688, 585.260427, 615.628868, 623.139225, 3433.317397]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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"network.16.weight": [[-0.171163, -0.209259, -0.25336, -0.258473, -0.131462, 0.262765, -0.364866, 0.110806, 0.440441, 0.243861, -0.3386]], "network.16.bias": [0.128692]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6869249939918518, "train_acc": 0.57, "val_loss": 0.6947677731513977, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6860476732254028, "train_acc": 0.57, "val_loss": 0.6815249919891357, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6486160159111023, "train_acc": 0.57, "val_loss": 0.6239159107208252, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6507993042469025, "train_acc": 0.495, "val_loss": 0.5606766939163208, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5464662164449692, "train_acc": 0.495, "val_loss": 0.43244513869285583, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4585026204586029, "train_acc": 0.65, "val_loss": 0.3501269221305847, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.38556282222270966, "train_acc": 0.925, "val_loss": 0.29307734966278076, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3453561067581177, "train_acc": 0.915, "val_loss": 0.23502430319786072, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.29210345447063446, "train_acc": 0.925, "val_loss": 0.18170922994613647, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2213088572025299, "train_acc": 0.945, "val_loss": 0.10172799229621887, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.17661920189857483, "train_acc": 0.945, "val_loss": 0.04137653484940529, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.21316443383693695, "train_acc": 0.94, "val_loss": 0.012739438563585281, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.19523651897907257, "train_acc": 0.945, "val_loss": 0.06195290386676788, "val_acc": 0.98}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6947677731513977, "final_val_loss": 0.6239159107208252, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5606766939163208, "final_val_loss": 0.06195290386676788, "initial_val_acc": 0.52, "final_val_acc": 0.98, "best_val_acc": 1.0, "best_epoch": 9}, "improvement": 0.48, "first_improvement_epoch": 2}}
|
86
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.58, "improved_accuracy": 0.98, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9691, "learning_rate": 0.046354749672465514, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[27.364026, 27.479974, 27.570963, 37.327733, 45.511737], [30.228383, 30.531053, 38.052854, 47.977504, 49.944887], [32.254471, 33.185391, 37.415467, 45.582436, 46.513082], [22.644671, 23.954286, 24.442627, 26.057784, 26.212693], [15.397511, 15.893482, 16.299235, 17.729989, 19.226258], [28.500524, 33.881139, 35.320324, 36.991739, 60.909505], [17.907085, 20.127116, 20.149275, 22.404495, 107.480394]]
### 2
fourier: [[13.588065, 13.750067, 16.130965, 18.320608, 145.413049], [30.028918, 30.939630, 32.817784, 43.179953, 243.033721], [21.609263, 23.206268, 23.668653, 30.577998, 142.751629], [35.616417, 37.074340, 39.652127, 47.913752, 215.597032], [37.367773, 40.240994, 42.946622, 51.274386, 242.168779], [32.242104, 33.245342, 34.351889, 43.612288, 249.120011], [19.577090, 19.980460, 21.608722, 22.621960, 58.658319]]
### 4
fourier: [[45.460564, 46.734951, 49.352048, 62.416933, 374.263030], [38.951070, 39.087948, 44.217584, 51.216354, 236.426345], [96.386377, 97.658483, 103.748513, 145.473077, 655.497476], [20.334462, 20.371308, 21.136215, 32.033010, 184.434090], [30.219868, 31.522847, 32.677461, 45.806613, 177.361292], [33.575736, 35.238289, 38.346914, 42.783204, 272.021410], [21.986253, 22.256155, 23.044119, 32.676179, 128.546075]]
### 6
fourier: [[34.102572, 34.464493, 35.781860, 49.873495, 240.568280], [42.803558, 42.897879, 43.271756, 62.563442, 236.392946], [77.404600, 78.725471, 84.629476, 115.070955, 587.000841], [118.426381, 119.599543, 128.259963, 176.819628, 845.863166], [45.373892, 45.625947, 50.883811, 64.201677, 200.417096], [37.445016, 37.565884, 39.218049, 55.195088, 214.118879], [55.155233, 55.415234, 59.252776, 79.560162, 309.205296]]
### 8
fourier: [[68.319756, 68.682537, 72.222982, 99.861299, 435.749618], [45.468151, 47.185893, 47.454291, 65.965793, 167.082998], [58.963965, 60.057715, 64.103193, 88.466082, 401.632474], [2.262654, 2.462674, 2.583288, 3.396938, 11.220482], [12.403963, 12.412003, 13.003139, 17.350032, 155.177829], [23.792265, 24.116498, 25.201805, 34.830302, 98.461091], [125.832206, 126.248904, 133.258068, 184.133484, 813.073732]]
### 10
fourier: [[153.334971, 154.510423, 161.870481, 225.930547, 962.796845], [44.610142, 45.501913, 46.967265, 65.179686, 198.395783], [102.240438, 102.306215, 106.211082, 148.393991, 540.250354], [140.879789, 143.641771, 150.207610, 210.116398, 894.254686], [69.130324, 69.234737, 72.507704, 100.810523, 351.993582], [92.432099, 93.579268, 97.842612, 136.503977, 512.057351], [69.997516, 70.736582, 72.638122, 101.338476, 342.812539]]
### 12
fourier: [[153.162416, 156.173761, 159.935853, 222.717658, 800.978133], [134.649331, 141.650846, 144.078289, 194.486947, 516.979756], [69.016934, 72.654998, 75.644139, 99.069794, 242.043379], [173.404336, 174.590731, 181.069483, 252.552267, 957.083757], [144.069935, 144.678762, 150.167892, 209.785789, 795.658984], [186.006719, 188.501537, 194.118018, 270.639519, 995.981677], [3.136067, 3.425199, 3.650745, 4.331163, 62.479112]]
### 14
fourier: [[259.474194, 265.691844, 274.854015, 386.238461, 1532.886264], [193.928705, 199.357184, 201.645272, 280.511411, 894.418175], [37.634206, 39.027328, 40.004689, 53.926339, 140.534647], [249.169599, 255.871528, 264.529665, 372.004586, 1463.052891], [277.607735, 288.525473, 298.060844, 419.880860, 1748.864109], [15.607377, 17.507709, 17.723489, 25.341393, 118.283285], [286.602011, 300.629200, 309.770895, 437.257753, 1840.199205]]
### 16
fourier: [[428.230118, 447.850476, 462.585027, 652.276686, 2728.723672]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.16.weight": [
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],
"network.16.bias": [
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}
## Activation Signature
### 0
fourier: [[27.364026, 27.479974, 27.570963, 37.327733, 45.511737], [30.228383, 30.531053, 38.052854, 47.977504, 49.944887], [32.254471, 33.185391, 37.415467, 45.582436, 46.513082], [22.644671, 23.954286, 24.442627, 26.057784, 26.212693], [15.397511, 15.893482, 16.299235, 17.729989, 19.226258], [28.500524, 33.881139, 35.320324, 36.991739, 60.909505], [17.907085, 20.127116, 20.149275, 22.404495, 107.480394]]
### 2
fourier: [[13.588065, 13.750067, 16.130965, 18.320608, 145.413049], [30.028918, 30.939630, 32.817784, 43.179953, 243.033721], [21.609263, 23.206268, 23.668653, 30.577998, 142.751629], [35.616417, 37.074340, 39.652127, 47.913752, 215.597032], [37.367773, 40.240994, 42.946622, 51.274386, 242.168779], [32.242104, 33.245342, 34.351889, 43.612288, 249.120011], [19.577090, 19.980460, 21.608722, 22.621960, 58.658319]]
### 4
fourier: [[45.460564, 46.734951, 49.352048, 62.416933, 374.263030], [38.951070, 39.087948, 44.217584, 51.216354, 236.426345], [96.386377, 97.658483, 103.748513, 145.473077, 655.497476], [20.334462, 20.371308, 21.136215, 32.033010, 184.434090], [30.219868, 31.522847, 32.677461, 45.806613, 177.361292], [33.575736, 35.238289, 38.346914, 42.783204, 272.021410], [21.986253, 22.256155, 23.044119, 32.676179, 128.546075]]
### 6
fourier: [[34.102572, 34.464493, 35.781860, 49.873495, 240.568280], [42.803558, 42.897879, 43.271756, 62.563442, 236.392946], [77.404600, 78.725471, 84.629476, 115.070955, 587.000841], [118.426381, 119.599543, 128.259963, 176.819628, 845.863166], [45.373892, 45.625947, 50.883811, 64.201677, 200.417096], [37.445016, 37.565884, 39.218049, 55.195088, 214.118879], [55.155233, 55.415234, 59.252776, 79.560162, 309.205296]]
### 8
fourier: [[68.319756, 68.682537, 72.222982, 99.861299, 435.749618], [45.468151, 47.185893, 47.454291, 65.965793, 167.082998], [58.963965, 60.057715, 64.103193, 88.466082, 401.632474], [2.262654, 2.462674, 2.583288, 3.396938, 11.220482], [12.403963, 12.412003, 13.003139, 17.350032, 155.177829], [23.792265, 24.116498, 25.201805, 34.830302, 98.461091], [125.832206, 126.248904, 133.258068, 184.133484, 813.073732]]
### 10
fourier: [[153.334971, 154.510423, 161.870481, 225.930547, 962.796845], [44.610142, 45.501913, 46.967265, 65.179686, 198.395783], [102.240438, 102.306215, 106.211082, 148.393991, 540.250354], [140.879789, 143.641771, 150.207610, 210.116398, 894.254686], [69.130324, 69.234737, 72.507704, 100.810523, 351.993582], [92.432099, 93.579268, 97.842612, 136.503977, 512.057351], [69.997516, 70.736582, 72.638122, 101.338476, 342.812539]]
### 12
fourier: [[153.162416, 156.173761, 159.935853, 222.717658, 800.978133], [134.649331, 141.650846, 144.078289, 194.486947, 516.979756], [69.016934, 72.654998, 75.644139, 99.069794, 242.043379], [173.404336, 174.590731, 181.069483, 252.552267, 957.083757], [144.069935, 144.678762, 150.167892, 209.785789, 795.658984], [186.006719, 188.501537, 194.118018, 270.639519, 995.981677], [3.136067, 3.425199, 3.650745, 4.331163, 62.479112]]
### 14
fourier: [[259.474194, 265.691844, 274.854015, 386.238461, 1532.886264], [193.928705, 199.357184, 201.645272, 280.511411, 894.418175], [37.634206, 39.027328, 40.004689, 53.926339, 140.534647], [249.169599, 255.871528, 264.529665, 372.004586, 1463.052891], [277.607735, 288.525473, 298.060844, 419.880860, 1748.864109], [15.607377, 17.507709, 17.723489, 25.341393, 118.283285], [286.602011, 300.629200, 309.770895, 437.257753, 1840.199205]]
### 16
fourier: [[428.230118, 447.850476, 462.585027, 652.276686, 2728.723672]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.636914, -0.400747, 0.425708, -0.129394, 0.609988], [-0.467318, -0.741097, 0.396896, 0.088719, 0.551219], [-0.705594, -0.461949, 0.608944, 0.126122, 0.558865], [-0.212374, 0.14117, -0.02891, 0.394364, -0.612324], [-0.34782, -0.159331, 0.464846, -0.064513, -0.027697], [-0.549149, 0.149276, -0.267841, 0.687598, -0.069274], [-0.387228, -0.29087, -0.052052, 0.012387, -0.148106]], "network.0.bias": [0.57351, -0.322109, -0.005428, 0.191511, -0.251924, 0.258558, 0.082517], "network.2.weight": [[-0.577571, -0.320701, -0.059566, -0.597074, 0.381328, -0.011662, 0.595048], [0.391723, 0.017442, 0.640329, 0.409863, -0.033527, 0.870606, -0.89655], [0.414453, -0.004743, -0.120655, 0.241322, 0.563302, 0.935346, -0.975268], [0.503916, 0.430907, 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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6991737484931946, "train_acc": 0.45, "val_loss": 0.6837904453277588, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.697372555732727, "train_acc": 0.55, "val_loss": 0.6685686707496643, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6822593510150909, "train_acc": 0.55, "val_loss": 0.5853691697120667, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5794587731361389, "train_acc": 0.48, "val_loss": 0.3398420810699463, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4193580895662308, "train_acc": 0.88, "val_loss": 0.2733887732028961, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.33675767481327057, "train_acc": 0.915, "val_loss": 0.23095546662807465, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.27275003492832184, "train_acc": 0.925, "val_loss": 0.15597984194755554, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2210789918899536, "train_acc": 0.94, "val_loss": 0.0887347161769867, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2119680568575859, "train_acc": 0.935, "val_loss": 0.08126204460859299, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.242281474173069, "train_acc": 0.93, "val_loss": 0.11281406134366989, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.21213925629854202, "train_acc": 0.93, "val_loss": 0.11963445693254471, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.20269682258367538, "train_acc": 0.94, "val_loss": 0.34073933959007263, "val_acc": 0.86}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6837904453277588, "final_val_loss": 0.5853691697120667, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.3398420810699463, "final_val_loss": 0.34073933959007263, "initial_val_acc": 0.9, "final_val_acc": 0.86, "best_val_acc": 0.98, "best_epoch": 7}, "improvement": 0.4, "first_improvement_epoch": 2}}
|
87
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.54, "improved_accuracy": 0.86, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 9, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6772, "learning_rate": 0.08443058899112679, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 9
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.440804
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[
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[
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1.259664
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[
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[
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1.049776
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[
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],
[
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## Activation Signature
### 0
fourier: [[37.995631, 38.322554, 39.786442, 43.330677, 50.107063], [39.704522, 44.622538, 48.423465, 54.682962, 224.058132], [35.020036, 35.794975, 36.569668, 38.126013, 44.881780], [28.234183, 28.389587, 30.415932, 34.356571, 221.270406], [28.399377, 29.230222, 30.195304, 32.961432, 41.461342], [32.577509, 32.623243, 33.017075, 43.255269, 250.222519], [36.190061, 38.329858, 39.215063, 41.735994, 49.205139], [21.131698, 22.435988, 22.897937, 26.943306, 83.164421], [42.142860, 42.905946, 45.060571, 48.742734, 61.945571]]
### 2
fourier: [[57.360137, 64.403272, 70.223149, 73.943407, 285.814620], [22.769215, 24.062869, 29.104074, 33.189623, 136.920472], [60.904363, 64.411642, 71.417110, 73.156679, 294.362608], [61.891679, 65.378228, 68.834022, 73.032106, 259.534246], [65.442155, 70.273215, 73.108251, 75.201590, 303.998160], [79.458382, 85.771329, 90.761791, 103.871647, 367.489905], [51.067747, 55.429714, 56.570329, 57.747472, 238.410735], [42.542097, 44.127341, 47.308337, 56.191716, 166.498320], [67.810133, 71.267261, 77.242952, 79.855071, 380.946928]]
### 4
fourier: [[159.259934, 174.084793, 184.826927, 188.177286, 714.692509], [71.134622, 81.582667, 85.028673, 86.618136, 379.969030], [53.339852, 60.996783, 63.666984, 69.134287, 280.712684], [35.228439, 37.273357, 39.064368, 44.864150, 174.053684], [140.937546, 152.743002, 162.148011, 165.111302, 642.800745], [54.079422, 58.644418, 63.738566, 67.767311, 265.685205], [124.978155, 135.928005, 145.108682, 151.458937, 569.571841], [163.736085, 180.026667, 189.803811, 193.559003, 751.754545], [83.476105, 93.384809, 97.608132, 106.833469, 400.259762]]
### 6
fourier: [[338.817136, 369.703817, 392.051048, 401.769386, 1528.416880], [99.643334, 108.894836, 115.129688, 117.223259, 482.972390], [351.147503, 383.131876, 406.532066, 415.941226, 1603.033908], [294.055247, 321.153231, 340.499233, 348.631428, 1330.932812], [81.255724, 88.932654, 94.332351, 96.923390, 405.084382], [153.168890, 166.787591, 177.066885, 180.547719, 729.475037], [50.001708, 54.721900, 58.142710, 59.979859, 244.114473], [118.097255, 128.600220, 136.747237, 140.483152, 550.037715], [112.988625, 123.197688, 130.996969, 134.914799, 505.150162]]
### 8
fourier: [[545.113336, 594.660793, 631.034688, 646.556745, 2448.199597], [119.984785, 130.888702, 138.933840, 142.428341, 573.285652], [85.442984, 93.228887, 98.926305, 101.330330, 407.629189], [297.838167, 324.870850, 344.734334, 353.176383, 1366.814345], [154.380121, 168.409010, 178.710845, 183.252055, 678.259483], [354.282337, 386.638465, 410.098293, 419.655590, 1605.169914], [175.873009, 191.925018, 203.650985, 208.812402, 782.953404], [440.951552, 481.098146, 510.511464, 522.908110, 1986.942434], [446.989491, 487.807398, 517.424490, 529.708566, 2025.631945]]
### 10
fourier: [[271.772284, 296.484566, 314.632806, 322.256155, 1211.370323], [128.757211, 140.332712, 149.001275, 152.716004, 579.025859], [132.139200, 144.114517, 152.995063, 156.748787, 617.153165], [293.533691, 320.090842, 339.739756, 348.074276, 1321.722035], [691.326989, 753.950644, 800.198920, 819.680663, 3108.110594], [549.983842, 599.795632, 636.603965, 652.170053, 2490.039711], [1.953712, 2.223042, 2.313946, 2.319794, 35.329182], [465.983853, 508.224590, 539.417705, 552.585274, 2158.400359], [51.710779, 56.379167, 59.872609, 61.377376, 248.213303]]
### 12
fourier: [[358.792353, 391.233971, 415.281501, 425.415972, 1581.160376], [137.059861, 149.446690, 158.637897, 162.511625, 617.055095], [409.208903, 446.161474, 473.627763, 485.204901, 1839.159537], [207.997357, 226.802338, 240.744649, 246.620509, 943.256934], [116.223359, 126.704385, 134.517191, 137.810885, 540.745028], [24.226948, 26.447408, 28.046345, 28.719008, 71.485874], [127.469064, 138.932220, 147.527636, 151.152539, 531.559539], [239.920190, 261.653542, 277.700552, 284.461713, 1105.097278], [8.826743, 9.658909, 10.222247, 10.458331, 66.099031]]
### 14
fourier: [[146.601654, 159.660551, 169.530951, 173.860689, 574.203089]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 9
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[37.995631, 38.322554, 39.786442, 43.330677, 50.107063], [39.704522, 44.622538, 48.423465, 54.682962, 224.058132], [35.020036, 35.794975, 36.569668, 38.126013, 44.881780], [28.234183, 28.389587, 30.415932, 34.356571, 221.270406], [28.399377, 29.230222, 30.195304, 32.961432, 41.461342], [32.577509, 32.623243, 33.017075, 43.255269, 250.222519], [36.190061, 38.329858, 39.215063, 41.735994, 49.205139], [21.131698, 22.435988, 22.897937, 26.943306, 83.164421], [42.142860, 42.905946, 45.060571, 48.742734, 61.945571]]
### 2
fourier: [[57.360137, 64.403272, 70.223149, 73.943407, 285.814620], [22.769215, 24.062869, 29.104074, 33.189623, 136.920472], [60.904363, 64.411642, 71.417110, 73.156679, 294.362608], [61.891679, 65.378228, 68.834022, 73.032106, 259.534246], [65.442155, 70.273215, 73.108251, 75.201590, 303.998160], [79.458382, 85.771329, 90.761791, 103.871647, 367.489905], [51.067747, 55.429714, 56.570329, 57.747472, 238.410735], [42.542097, 44.127341, 47.308337, 56.191716, 166.498320], [67.810133, 71.267261, 77.242952, 79.855071, 380.946928]]
### 4
fourier: [[159.259934, 174.084793, 184.826927, 188.177286, 714.692509], [71.134622, 81.582667, 85.028673, 86.618136, 379.969030], [53.339852, 60.996783, 63.666984, 69.134287, 280.712684], [35.228439, 37.273357, 39.064368, 44.864150, 174.053684], [140.937546, 152.743002, 162.148011, 165.111302, 642.800745], [54.079422, 58.644418, 63.738566, 67.767311, 265.685205], [124.978155, 135.928005, 145.108682, 151.458937, 569.571841], [163.736085, 180.026667, 189.803811, 193.559003, 751.754545], [83.476105, 93.384809, 97.608132, 106.833469, 400.259762]]
### 6
fourier: [[338.817136, 369.703817, 392.051048, 401.769386, 1528.416880], [99.643334, 108.894836, 115.129688, 117.223259, 482.972390], [351.147503, 383.131876, 406.532066, 415.941226, 1603.033908], [294.055247, 321.153231, 340.499233, 348.631428, 1330.932812], [81.255724, 88.932654, 94.332351, 96.923390, 405.084382], [153.168890, 166.787591, 177.066885, 180.547719, 729.475037], [50.001708, 54.721900, 58.142710, 59.979859, 244.114473], [118.097255, 128.600220, 136.747237, 140.483152, 550.037715], [112.988625, 123.197688, 130.996969, 134.914799, 505.150162]]
### 8
fourier: [[545.113336, 594.660793, 631.034688, 646.556745, 2448.199597], [119.984785, 130.888702, 138.933840, 142.428341, 573.285652], [85.442984, 93.228887, 98.926305, 101.330330, 407.629189], [297.838167, 324.870850, 344.734334, 353.176383, 1366.814345], [154.380121, 168.409010, 178.710845, 183.252055, 678.259483], [354.282337, 386.638465, 410.098293, 419.655590, 1605.169914], [175.873009, 191.925018, 203.650985, 208.812402, 782.953404], [440.951552, 481.098146, 510.511464, 522.908110, 1986.942434], [446.989491, 487.807398, 517.424490, 529.708566, 2025.631945]]
### 10
fourier: [[271.772284, 296.484566, 314.632806, 322.256155, 1211.370323], [128.757211, 140.332712, 149.001275, 152.716004, 579.025859], [132.139200, 144.114517, 152.995063, 156.748787, 617.153165], [293.533691, 320.090842, 339.739756, 348.074276, 1321.722035], [691.326989, 753.950644, 800.198920, 819.680663, 3108.110594], [549.983842, 599.795632, 636.603965, 652.170053, 2490.039711], [1.953712, 2.223042, 2.313946, 2.319794, 35.329182], [465.983853, 508.224590, 539.417705, 552.585274, 2158.400359], [51.710779, 56.379167, 59.872609, 61.377376, 248.213303]]
### 12
fourier: [[358.792353, 391.233971, 415.281501, 425.415972, 1581.160376], [137.059861, 149.446690, 158.637897, 162.511625, 617.055095], [409.208903, 446.161474, 473.627763, 485.204901, 1839.159537], [207.997357, 226.802338, 240.744649, 246.620509, 943.256934], [116.223359, 126.704385, 134.517191, 137.810885, 540.745028], [24.226948, 26.447408, 28.046345, 28.719008, 71.485874], [127.469064, 138.932220, 147.527636, 151.152539, 531.559539], [239.920190, 261.653542, 277.700552, 284.461713, 1105.097278], [8.826743, 9.658909, 10.222247, 10.458331, 66.099031]]
### 14
fourier: [[146.601654, 159.660551, 169.530951, 173.860689, 574.203089]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6980866193771362, "train_acc": 0.495, "val_loss": 0.7814087867736816, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7044821977615356, "train_acc": 0.565, "val_loss": 0.6894890069961548, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6766224503517151, "train_acc": 0.49, "val_loss": 0.6074820160865784, "val_acc": 0.54}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6000436842441559, "train_acc": 0.505, "val_loss": 0.5160236358642578, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5066777765750885, "train_acc": 0.825, "val_loss": 0.5221469402313232, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4483463019132614, "train_acc": 0.815, "val_loss": 0.4526718258857727, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3829886466264725, "train_acc": 0.855, "val_loss": 0.41631218791007996, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.38959601521492004, "train_acc": 0.865, "val_loss": 0.3701677620410919, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3533829599618912, "train_acc": 0.85, "val_loss": 0.35454636812210083, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3452472388744354, "train_acc": 0.87, "val_loss": 0.31058377027511597, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.29879987239837646, "train_acc": 0.89, "val_loss": 0.34354329109191895, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.27707134187221527, "train_acc": 0.895, "val_loss": 0.4017695486545563, "val_acc": 0.84}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7814087867736816, "final_val_loss": 0.6894890069961548, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6074820160865784, "final_val_loss": 0.4017695486545563, "initial_val_acc": 0.54, "final_val_acc": 0.84, "best_val_acc": 0.86, "best_epoch": 6}, "improvement": 0.31999999999999995, "first_improvement_epoch": 1}}
|
88
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.56, "improved_accuracy": 0.92, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 9, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4426, "learning_rate": 0.04712606318248816, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 9
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[20.058142, 21.826758, 22.138286, 25.587287, 179.959280], [18.997556, 19.140170, 19.216653, 19.797879, 33.627165], [20.300004, 21.012133, 24.442889, 24.960422, 64.770137], [21.308962, 24.622956, 27.430563, 29.925745, 82.911104], [22.927033, 23.747406, 28.422687, 30.586938, 115.417094], [21.206578, 21.423061, 22.219839, 22.543221, 65.676140], [23.946175, 25.709494, 29.296369, 29.451337, 30.560415], [20.903685, 20.995071, 22.016200, 23.396854, 30.477445], [12.940186, 13.056857, 13.762573, 15.342493, 17.792702]]
### 2
fourier: [[19.357298, 19.852249, 21.603984, 24.734409, 96.795790], [10.510240, 10.714863, 11.328152, 12.955907, 107.703851], [7.574089, 7.948809, 9.529864, 10.999325, 85.879451], [9.406158, 9.436477, 12.097770, 15.569725, 47.797567], [26.061397, 26.872745, 26.904949, 34.432438, 138.495932], [18.507387, 21.070599, 21.709594, 22.620423, 159.375641], [26.871621, 29.967718, 32.267553, 33.215872, 168.115577], [11.961356, 11.982441, 14.320235, 16.419054, 93.320621], [19.508390, 21.421700, 22.571912, 29.692357, 99.258357]]
### 4
fourier: [[4.273508, 4.383823, 4.542622, 6.269640, 28.479658], [18.677700, 19.545194, 19.661775, 28.123062, 131.501935], [11.639137, 12.593365, 12.832884, 16.119936, 57.862415], [36.618292, 41.238279, 44.904131, 48.737275, 251.984205], [8.124478, 8.684400, 9.013322, 12.089150, 72.937580], [19.975015, 22.257123, 24.059418, 29.198221, 117.791868], [23.112859, 24.667902, 28.517537, 30.107373, 174.802733], [19.529025, 20.834248, 24.088774, 25.924234, 133.119366], [6.927968, 7.103783, 7.445274, 10.561070, 70.730319]]
### 6
fourier: [[7.475608, 7.773540, 8.747430, 9.264919, 10.339650], [11.318120, 11.935755, 13.253187, 15.866641, 106.500916], [2.394855, 2.725039, 2.916284, 3.583458, 39.122251], [16.302238, 17.907549, 19.583585, 19.641186, 141.757066], [28.420412, 32.080241, 35.934073, 37.833336, 240.075037], [9.852961, 11.314528, 11.853778, 14.387441, 95.557367], [10.028787, 11.135492, 12.339775, 12.559213, 109.556687], [38.033486, 42.954810, 48.302190, 50.687908, 246.370280], [5.243405, 5.805854, 6.177448, 6.756787, 54.343966]]
### 8
fourier: [[4.490468, 5.372208, 5.651542, 6.199100, 59.066390], [6.282001, 7.896461, 8.064211, 9.110872, 35.709388], [12.335777, 13.779579, 15.622692, 16.325702, 73.416779], [7.353020, 8.284613, 9.356138, 9.813648, 22.527722], [3.041639, 3.791703, 3.829510, 4.387289, 44.928298], [9.581518, 10.443456, 12.117112, 12.470880, 97.737387], [34.623394, 39.956292, 44.065087, 46.953182, 231.931386], [1.248718, 1.301104, 1.572699, 1.576187, 40.891106], [21.183036, 24.002022, 26.887155, 28.334880, 200.463396]]
### 10
fourier: [[2.525499, 2.618816, 2.884555, 3.326124, 15.455290], [36.312029, 42.809762, 46.590995, 50.373890, 214.757455], [1.228603, 1.448268, 1.501925, 1.695559, 30.354584], [11.282890, 13.413960, 14.446597, 15.728243, 88.980473], [1.043021, 1.188034, 1.331726, 1.401705, 30.361873], [32.183343, 36.911808, 40.985106, 43.432453, 208.121691], [10.801618, 13.201538, 13.514482, 15.408195, 33.272142], [7.403802, 8.463744, 9.481609, 10.073650, 51.348014], [17.955361, 21.615401, 23.096399, 25.301424, 96.558285]]
### 12
fourier: [[21.002554, 24.208609, 26.738823, 28.364108, 142.696083], [14.052992, 16.312683, 17.825911, 18.943764, 106.243452], [7.028798, 8.042410, 8.684304, 9.351240, 58.877736], [8.460257, 9.519622, 10.614349, 10.931333, 48.633618], [29.165287, 33.254074, 36.824490, 38.498547, 189.769825], [4.683688, 5.027221, 5.519828, 5.554902, 65.173909], [30.882442, 35.575935, 39.287584, 41.636832, 183.068989], [50.229198, 57.511261, 63.641988, 66.924693, 328.023058], [38.017979, 43.754001, 48.357057, 51.194746, 259.701334]]
### 14
fourier: [[52.200921, 59.573438, 66.006442, 69.335860, 317.469700]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 9
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[20.058142, 21.826758, 22.138286, 25.587287, 179.959280], [18.997556, 19.140170, 19.216653, 19.797879, 33.627165], [20.300004, 21.012133, 24.442889, 24.960422, 64.770137], [21.308962, 24.622956, 27.430563, 29.925745, 82.911104], [22.927033, 23.747406, 28.422687, 30.586938, 115.417094], [21.206578, 21.423061, 22.219839, 22.543221, 65.676140], [23.946175, 25.709494, 29.296369, 29.451337, 30.560415], [20.903685, 20.995071, 22.016200, 23.396854, 30.477445], [12.940186, 13.056857, 13.762573, 15.342493, 17.792702]]
### 2
fourier: [[19.357298, 19.852249, 21.603984, 24.734409, 96.795790], [10.510240, 10.714863, 11.328152, 12.955907, 107.703851], [7.574089, 7.948809, 9.529864, 10.999325, 85.879451], [9.406158, 9.436477, 12.097770, 15.569725, 47.797567], [26.061397, 26.872745, 26.904949, 34.432438, 138.495932], [18.507387, 21.070599, 21.709594, 22.620423, 159.375641], [26.871621, 29.967718, 32.267553, 33.215872, 168.115577], [11.961356, 11.982441, 14.320235, 16.419054, 93.320621], [19.508390, 21.421700, 22.571912, 29.692357, 99.258357]]
### 4
fourier: [[4.273508, 4.383823, 4.542622, 6.269640, 28.479658], [18.677700, 19.545194, 19.661775, 28.123062, 131.501935], [11.639137, 12.593365, 12.832884, 16.119936, 57.862415], [36.618292, 41.238279, 44.904131, 48.737275, 251.984205], [8.124478, 8.684400, 9.013322, 12.089150, 72.937580], [19.975015, 22.257123, 24.059418, 29.198221, 117.791868], [23.112859, 24.667902, 28.517537, 30.107373, 174.802733], [19.529025, 20.834248, 24.088774, 25.924234, 133.119366], [6.927968, 7.103783, 7.445274, 10.561070, 70.730319]]
### 6
fourier: [[7.475608, 7.773540, 8.747430, 9.264919, 10.339650], [11.318120, 11.935755, 13.253187, 15.866641, 106.500916], [2.394855, 2.725039, 2.916284, 3.583458, 39.122251], [16.302238, 17.907549, 19.583585, 19.641186, 141.757066], [28.420412, 32.080241, 35.934073, 37.833336, 240.075037], [9.852961, 11.314528, 11.853778, 14.387441, 95.557367], [10.028787, 11.135492, 12.339775, 12.559213, 109.556687], [38.033486, 42.954810, 48.302190, 50.687908, 246.370280], [5.243405, 5.805854, 6.177448, 6.756787, 54.343966]]
### 8
fourier: [[4.490468, 5.372208, 5.651542, 6.199100, 59.066390], [6.282001, 7.896461, 8.064211, 9.110872, 35.709388], [12.335777, 13.779579, 15.622692, 16.325702, 73.416779], [7.353020, 8.284613, 9.356138, 9.813648, 22.527722], [3.041639, 3.791703, 3.829510, 4.387289, 44.928298], [9.581518, 10.443456, 12.117112, 12.470880, 97.737387], [34.623394, 39.956292, 44.065087, 46.953182, 231.931386], [1.248718, 1.301104, 1.572699, 1.576187, 40.891106], [21.183036, 24.002022, 26.887155, 28.334880, 200.463396]]
### 10
fourier: [[2.525499, 2.618816, 2.884555, 3.326124, 15.455290], [36.312029, 42.809762, 46.590995, 50.373890, 214.757455], [1.228603, 1.448268, 1.501925, 1.695559, 30.354584], [11.282890, 13.413960, 14.446597, 15.728243, 88.980473], [1.043021, 1.188034, 1.331726, 1.401705, 30.361873], [32.183343, 36.911808, 40.985106, 43.432453, 208.121691], [10.801618, 13.201538, 13.514482, 15.408195, 33.272142], [7.403802, 8.463744, 9.481609, 10.073650, 51.348014], [17.955361, 21.615401, 23.096399, 25.301424, 96.558285]]
### 12
fourier: [[21.002554, 24.208609, 26.738823, 28.364108, 142.696083], [14.052992, 16.312683, 17.825911, 18.943764, 106.243452], [7.028798, 8.042410, 8.684304, 9.351240, 58.877736], [8.460257, 9.519622, 10.614349, 10.931333, 48.633618], [29.165287, 33.254074, 36.824490, 38.498547, 189.769825], [4.683688, 5.027221, 5.519828, 5.554902, 65.173909], [30.882442, 35.575935, 39.287584, 41.636832, 183.068989], [50.229198, 57.511261, 63.641988, 66.924693, 328.023058], [38.017979, 43.754001, 48.357057, 51.194746, 259.701334]]
### 14
fourier: [[52.200921, 59.573438, 66.006442, 69.335860, 317.469700]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7020525336265564, "train_acc": 0.45, "val_loss": 0.6892240643501282, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.684883326292038, "train_acc": 0.55, "val_loss": 0.6855419874191284, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6925957202911377, "train_acc": 0.55, "val_loss": 0.6744134426116943, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6628510057926178, "train_acc": 0.55, "val_loss": 0.6242544651031494, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5665714293718338, "train_acc": 0.485, "val_loss": 0.4585496485233307, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.42276954650878906, "train_acc": 0.665, "val_loss": 0.36642226576805115, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3559909164905548, "train_acc": 0.94, "val_loss": 0.3151170015335083, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.32218657433986664, "train_acc": 0.95, "val_loss": 0.29727524518966675, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.2985069453716278, "train_acc": 0.955, "val_loss": 0.28601357340812683, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.27516428381204605, "train_acc": 0.955, "val_loss": 0.275892972946167, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.26033955812454224, "train_acc": 0.955, "val_loss": 0.2669444978237152, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.24937313050031662, "train_acc": 0.955, "val_loss": 0.25908905267715454, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.24468959122896194, "train_acc": 0.955, "val_loss": 0.2523360252380371, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.2336309850215912, "train_acc": 0.96, "val_loss": 0.6009510159492493, "val_acc": 0.84}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6892240643501282, "final_val_loss": 0.6242544651031494, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.4585496485233307, "final_val_loss": 0.6009510159492493, "initial_val_acc": 0.56, "final_val_acc": 0.84, "best_val_acc": 0.92, "best_epoch": 5}, "improvement": 0.36, "first_improvement_epoch": 3}}
|
89
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.58, "improved_accuracy": 0.84, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1469, "learning_rate": 0.05734450156595675, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[22.728472, 24.287054, 24.885381, 25.340337, 25.558877], [34.735371, 37.022406, 39.381908, 40.181021, 47.357203], [22.447372, 23.973414, 24.056446, 26.702309, 46.308925], [35.852161, 36.764740, 39.508327, 46.529238, 94.998481], [20.514439, 21.212989, 22.045435, 27.866176, 100.286471], [28.572203, 29.291029, 29.799367, 31.548655, 83.393701], [19.550383, 19.640020, 20.455194, 25.831894, 29.094016], [29.078269, 30.292308, 36.147202, 37.901059, 101.081245]]
### 2
fourier: [[16.078688, 18.107181, 21.200234, 23.656091, 72.715221], [27.371985, 27.636573, 28.165062, 28.765431, 78.639469], [43.497238, 43.738590, 50.588207, 54.247889, 128.374161], [11.949315, 12.530072, 13.731237, 14.347419, 175.573999], [29.236115, 31.315173, 35.272334, 42.381068, 148.001250], [32.545915, 39.534498, 41.249670, 50.278099, 113.005581], [37.967774, 44.389517, 48.517084, 58.445675, 108.681634], [54.451115, 57.227740, 64.609912, 69.293897, 149.703432]]
### 4
fourier: [[64.969087, 74.896270, 81.728148, 89.210315, 293.559718], [6.495766, 7.884218, 7.884770, 8.368234, 9.018985], [21.493353, 22.672675, 23.516661, 23.608912, 47.297103], [6.245552, 7.733797, 7.960548, 10.204145, 33.915565], [38.271575, 39.962312, 45.196864, 55.727192, 176.927724], [24.037116, 27.305135, 29.910128, 36.648160, 152.733156], [56.490444, 65.091792, 70.376280, 79.233348, 300.214608], [47.893476, 56.989173, 61.153377, 65.304665, 195.422915]]
### 6
fourier: [[8.884337, 10.951513, 11.164754, 13.333543, 58.794266], [21.786445, 26.245990, 28.816110, 29.156465, 50.906323], [22.952872, 29.004914, 30.328788, 32.112029, 125.511183], [22.125414, 27.328390, 29.622115, 29.766519, 56.617676], [69.587614, 84.806217, 91.560486, 96.904985, 299.996151], [13.969005, 16.375576, 18.469623, 18.757354, 37.883876], [57.730222, 68.934777, 75.289763, 77.915162, 234.184999], [15.405195, 19.351792, 21.080228, 21.158513, 35.500787]]
### 8
fourier: [[66.175956, 81.563776, 89.029010, 90.581800, 279.600004], [76.488002, 94.396735, 102.980867, 105.854714, 336.993620], [63.336318, 79.846393, 81.895716, 92.378878, 404.696205], [60.352096, 73.878113, 81.655350, 81.791714, 224.498541], [22.983375, 28.260461, 30.875563, 31.787679, 83.086380], [23.145263, 28.497365, 30.719994, 32.093061, 61.950488], [34.076441, 41.946989, 46.118604, 46.471833, 99.760661], [45.932358, 56.735861, 62.145159, 62.440359, 120.831701]]
### 10
fourier: [[39.330809, 46.814372, 50.717275, 54.294302, 111.458098], [11.928445, 14.385055, 15.505924, 16.811596, 28.237904], [39.878056, 48.354634, 52.418861, 55.433522, 84.671700], [33.568486, 42.570534, 45.725372, 47.457131, 171.228251], [130.479352, 161.995912, 178.788877, 179.043819, 525.588355], [40.871189, 49.308873, 53.677931, 56.386947, 87.203414], [66.818643, 82.539049, 91.248733, 91.296157, 237.268886], [44.891071, 56.585611, 61.212800, 63.072582, 211.765281]]
### 12
fourier: [[88.476814, 110.722578, 121.522367, 122.758555, 307.476345], [69.914922, 87.668901, 96.706288, 96.734742, 282.172017], [50.393539, 63.643565, 69.791980, 70.602098, 173.423481], [112.035720, 141.569718, 154.096634, 157.153938, 413.577229], [52.866849, 66.732239, 72.990106, 74.077343, 191.453586], [126.446007, 160.898303, 174.180125, 179.103918, 565.479514], [131.027922, 166.517534, 180.357017, 185.488841, 581.558872], [65.935107, 82.773732, 91.210432, 91.343129, 243.635263]]
### 14
fourier: [[107.008467, 135.213386, 148.431658, 149.131761, 395.861177]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[22.728472, 24.287054, 24.885381, 25.340337, 25.558877], [34.735371, 37.022406, 39.381908, 40.181021, 47.357203], [22.447372, 23.973414, 24.056446, 26.702309, 46.308925], [35.852161, 36.764740, 39.508327, 46.529238, 94.998481], [20.514439, 21.212989, 22.045435, 27.866176, 100.286471], [28.572203, 29.291029, 29.799367, 31.548655, 83.393701], [19.550383, 19.640020, 20.455194, 25.831894, 29.094016], [29.078269, 30.292308, 36.147202, 37.901059, 101.081245]]
### 2
fourier: [[16.078688, 18.107181, 21.200234, 23.656091, 72.715221], [27.371985, 27.636573, 28.165062, 28.765431, 78.639469], [43.497238, 43.738590, 50.588207, 54.247889, 128.374161], [11.949315, 12.530072, 13.731237, 14.347419, 175.573999], [29.236115, 31.315173, 35.272334, 42.381068, 148.001250], [32.545915, 39.534498, 41.249670, 50.278099, 113.005581], [37.967774, 44.389517, 48.517084, 58.445675, 108.681634], [54.451115, 57.227740, 64.609912, 69.293897, 149.703432]]
### 4
fourier: [[64.969087, 74.896270, 81.728148, 89.210315, 293.559718], [6.495766, 7.884218, 7.884770, 8.368234, 9.018985], [21.493353, 22.672675, 23.516661, 23.608912, 47.297103], [6.245552, 7.733797, 7.960548, 10.204145, 33.915565], [38.271575, 39.962312, 45.196864, 55.727192, 176.927724], [24.037116, 27.305135, 29.910128, 36.648160, 152.733156], [56.490444, 65.091792, 70.376280, 79.233348, 300.214608], [47.893476, 56.989173, 61.153377, 65.304665, 195.422915]]
### 6
fourier: [[8.884337, 10.951513, 11.164754, 13.333543, 58.794266], [21.786445, 26.245990, 28.816110, 29.156465, 50.906323], [22.952872, 29.004914, 30.328788, 32.112029, 125.511183], [22.125414, 27.328390, 29.622115, 29.766519, 56.617676], [69.587614, 84.806217, 91.560486, 96.904985, 299.996151], [13.969005, 16.375576, 18.469623, 18.757354, 37.883876], [57.730222, 68.934777, 75.289763, 77.915162, 234.184999], [15.405195, 19.351792, 21.080228, 21.158513, 35.500787]]
### 8
fourier: [[66.175956, 81.563776, 89.029010, 90.581800, 279.600004], [76.488002, 94.396735, 102.980867, 105.854714, 336.993620], [63.336318, 79.846393, 81.895716, 92.378878, 404.696205], [60.352096, 73.878113, 81.655350, 81.791714, 224.498541], [22.983375, 28.260461, 30.875563, 31.787679, 83.086380], [23.145263, 28.497365, 30.719994, 32.093061, 61.950488], [34.076441, 41.946989, 46.118604, 46.471833, 99.760661], [45.932358, 56.735861, 62.145159, 62.440359, 120.831701]]
### 10
fourier: [[39.330809, 46.814372, 50.717275, 54.294302, 111.458098], [11.928445, 14.385055, 15.505924, 16.811596, 28.237904], [39.878056, 48.354634, 52.418861, 55.433522, 84.671700], [33.568486, 42.570534, 45.725372, 47.457131, 171.228251], [130.479352, 161.995912, 178.788877, 179.043819, 525.588355], [40.871189, 49.308873, 53.677931, 56.386947, 87.203414], [66.818643, 82.539049, 91.248733, 91.296157, 237.268886], [44.891071, 56.585611, 61.212800, 63.072582, 211.765281]]
### 12
fourier: [[88.476814, 110.722578, 121.522367, 122.758555, 307.476345], [69.914922, 87.668901, 96.706288, 96.734742, 282.172017], [50.393539, 63.643565, 69.791980, 70.602098, 173.423481], [112.035720, 141.569718, 154.096634, 157.153938, 413.577229], [52.866849, 66.732239, 72.990106, 74.077343, 191.453586], [126.446007, 160.898303, 174.180125, 179.103918, 565.479514], [131.027922, 166.517534, 180.357017, 185.488841, 581.558872], [65.935107, 82.773732, 91.210432, 91.343129, 243.635263]]
### 14
fourier: [[107.008467, 135.213386, 148.431658, 149.131761, 395.861177]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6895688772201538, "train_acc": 0.515, "val_loss": 0.6761741638183594, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6884602010250092, "train_acc": 0.555, "val_loss": 0.626121461391449, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6378854513168335, "train_acc": 0.48, "val_loss": 0.4370773732662201, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5639417171478271, "train_acc": 0.685, "val_loss": 0.4857424795627594, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5329059958457947, "train_acc": 0.755, "val_loss": 0.4408886730670929, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.46132683753967285, "train_acc": 0.78, "val_loss": 0.3798970878124237, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4255223721265793, "train_acc": 0.805, "val_loss": 0.32860344648361206, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.43941667675971985, "train_acc": 0.82, "val_loss": 0.3516641855239868, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.386560395359993, "train_acc": 0.835, "val_loss": 0.38311636447906494, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.4164998382329941, "train_acc": 0.83, "val_loss": 0.37991154193878174, "val_acc": 0.82}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6761741638183594, "final_val_loss": 0.626121461391449, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.4370773732662201, "final_val_loss": 0.37991154193878174, "initial_val_acc": 0.7, "final_val_acc": 0.82, "best_val_acc": 0.84, "best_epoch": 7}, "improvement": 0.26, "first_improvement_epoch": 1}}
|
90
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.6, "improved_accuracy": 0.84, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 10, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9217, "learning_rate": 0.03413339280459434, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.03995,
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0.435619,
0.226602,
-0.115252
],
[
0.015637,
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0.095069,
0.048155,
-0.392603
],
[
-0.523177,
0.348747,
0.269419,
0.073853,
0.224129
],
[
0.001595,
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-0.151025,
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],
[
-0.344714,
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## Activation Signature
### 0
fourier: [[12.077839, 12.551732, 15.487982, 18.559982, 50.626439], [18.332888, 20.841115, 21.053084, 22.288124, 50.235610], [18.673143, 19.879945, 20.855931, 23.762109, 79.981003], [11.916583, 12.116809, 13.718211, 14.374364, 87.402144], [12.771819, 14.998935, 15.051668, 15.838513, 17.015780], [17.774855, 17.883367, 18.136917, 19.642176, 141.890906], [20.930599, 21.329732, 25.296287, 31.395709, 79.454429], [25.318626, 27.526117, 28.473783, 31.275995, 61.359704], [23.095146, 24.451618, 25.507309, 28.587773, 131.402442], [29.776136, 30.819514, 37.544105, 41.576730, 264.849428]]
### 2
fourier: [[14.540913, 15.612020, 16.519954, 19.364215, 57.597269], [13.625273, 13.997068, 15.816880, 15.937607, 44.996390], [5.850902, 5.861313, 6.235814, 7.242691, 20.073789], [13.561720, 14.571129, 16.540600, 17.170077, 68.657646], [3.585577, 4.069512, 4.448247, 4.806980, 64.803833], [11.415364, 11.474511, 11.591994, 11.681030, 14.963142], [13.699418, 14.590768, 15.388969, 21.679695, 53.542782], [10.328259, 11.858162, 12.326772, 13.933011, 83.076551], [4.492966, 4.972392, 6.024280, 6.831152, 34.836456], [19.054197, 20.548994, 23.353399, 23.877197, 118.713969]]
### 4
fourier: [[7.331473, 7.759141, 8.258975, 9.504013, 90.788939], [12.455817, 12.633638, 14.532003, 14.647301, 49.497102], [19.518901, 20.339218, 20.865493, 24.483775, 114.065508], [28.118399, 29.550880, 30.837897, 34.165353, 178.648097], [13.011943, 13.075279, 14.109730, 14.700502, 16.128122], [5.480584, 5.730912, 6.913335, 7.505988, 8.174077], [7.832375, 8.248573, 8.692923, 8.744590, 23.211337], [18.022522, 18.073365, 19.140709, 19.780461, 113.514022], [5.331338, 6.516385, 7.025622, 8.592767, 10.096030], [14.479665, 14.852773, 16.079960, 18.294835, 83.654385]]
### 6
fourier: [[22.869279, 23.774986, 24.810539, 27.915635, 122.769219], [22.347400, 23.348182, 24.934404, 26.890740, 141.266889], [12.566601, 13.822181, 14.302306, 15.821667, 94.763172], [37.926210, 38.564927, 39.268042, 44.240276, 228.611409], [20.891258, 22.646286, 23.535807, 24.688547, 120.849492], [16.966402, 18.125663, 19.416405, 20.413496, 115.322418], [5.340988, 5.361048, 6.314872, 8.832453, 32.467242], [23.573794, 24.495645, 24.639591, 27.216712, 140.505984], [5.195765, 5.511694, 5.811608, 7.072904, 16.570838], [33.867716, 35.529519, 35.696576, 39.987392, 210.228627]]
### 8
fourier: [[53.982825, 54.561293, 56.055740, 62.243499, 344.024666], [35.029154, 36.604188, 36.616544, 40.993321, 219.814661], [21.938213, 22.105041, 22.644368, 24.993784, 133.322425], [47.062138, 47.590287, 49.119305, 54.807964, 280.384587], [35.503513, 37.573871, 37.720718, 42.059914, 232.228921], [17.655099, 17.822367, 18.291629, 20.280330, 115.054734], [25.837659, 27.084740, 27.117175, 30.549646, 142.126827], [61.670271, 62.086709, 64.194324, 71.670284, 383.715369], [58.099116, 59.997064, 60.786711, 67.479750, 355.275851], [23.412011, 24.085826, 25.063523, 27.882140, 147.303768]]
### 10
fourier: [[79.483787, 80.883030, 82.894181, 92.123967, 501.384188], [7.676985, 7.757634, 7.970723, 8.835320, 66.467132], [12.698638, 12.872081, 13.227350, 14.670655, 110.312458], [1.210960, 1.274301, 1.383429, 1.505194, 5.895696], [62.324691, 63.059125, 64.919302, 72.231693, 380.499841], [23.838257, 24.133259, 24.939341, 27.840451, 172.170707], [26.566197, 27.059977, 27.730320, 30.855632, 160.178182], [18.174119, 18.606275, 19.038119, 21.272501, 114.908328], [26.026989, 26.511766, 27.106228, 30.018209, 165.564123], [43.308001, 43.989058, 45.138332, 50.227399, 263.696292]]
### 12
fourier: [[71.862666, 72.940871, 74.908223, 83.315386, 417.281981]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 10
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[12.077839, 12.551732, 15.487982, 18.559982, 50.626439], [18.332888, 20.841115, 21.053084, 22.288124, 50.235610], [18.673143, 19.879945, 20.855931, 23.762109, 79.981003], [11.916583, 12.116809, 13.718211, 14.374364, 87.402144], [12.771819, 14.998935, 15.051668, 15.838513, 17.015780], [17.774855, 17.883367, 18.136917, 19.642176, 141.890906], [20.930599, 21.329732, 25.296287, 31.395709, 79.454429], [25.318626, 27.526117, 28.473783, 31.275995, 61.359704], [23.095146, 24.451618, 25.507309, 28.587773, 131.402442], [29.776136, 30.819514, 37.544105, 41.576730, 264.849428]]
### 2
fourier: [[14.540913, 15.612020, 16.519954, 19.364215, 57.597269], [13.625273, 13.997068, 15.816880, 15.937607, 44.996390], [5.850902, 5.861313, 6.235814, 7.242691, 20.073789], [13.561720, 14.571129, 16.540600, 17.170077, 68.657646], [3.585577, 4.069512, 4.448247, 4.806980, 64.803833], [11.415364, 11.474511, 11.591994, 11.681030, 14.963142], [13.699418, 14.590768, 15.388969, 21.679695, 53.542782], [10.328259, 11.858162, 12.326772, 13.933011, 83.076551], [4.492966, 4.972392, 6.024280, 6.831152, 34.836456], [19.054197, 20.548994, 23.353399, 23.877197, 118.713969]]
### 4
fourier: [[7.331473, 7.759141, 8.258975, 9.504013, 90.788939], [12.455817, 12.633638, 14.532003, 14.647301, 49.497102], [19.518901, 20.339218, 20.865493, 24.483775, 114.065508], [28.118399, 29.550880, 30.837897, 34.165353, 178.648097], [13.011943, 13.075279, 14.109730, 14.700502, 16.128122], [5.480584, 5.730912, 6.913335, 7.505988, 8.174077], [7.832375, 8.248573, 8.692923, 8.744590, 23.211337], [18.022522, 18.073365, 19.140709, 19.780461, 113.514022], [5.331338, 6.516385, 7.025622, 8.592767, 10.096030], [14.479665, 14.852773, 16.079960, 18.294835, 83.654385]]
### 6
fourier: [[22.869279, 23.774986, 24.810539, 27.915635, 122.769219], [22.347400, 23.348182, 24.934404, 26.890740, 141.266889], [12.566601, 13.822181, 14.302306, 15.821667, 94.763172], [37.926210, 38.564927, 39.268042, 44.240276, 228.611409], [20.891258, 22.646286, 23.535807, 24.688547, 120.849492], [16.966402, 18.125663, 19.416405, 20.413496, 115.322418], [5.340988, 5.361048, 6.314872, 8.832453, 32.467242], [23.573794, 24.495645, 24.639591, 27.216712, 140.505984], [5.195765, 5.511694, 5.811608, 7.072904, 16.570838], [33.867716, 35.529519, 35.696576, 39.987392, 210.228627]]
### 8
fourier: [[53.982825, 54.561293, 56.055740, 62.243499, 344.024666], [35.029154, 36.604188, 36.616544, 40.993321, 219.814661], [21.938213, 22.105041, 22.644368, 24.993784, 133.322425], [47.062138, 47.590287, 49.119305, 54.807964, 280.384587], [35.503513, 37.573871, 37.720718, 42.059914, 232.228921], [17.655099, 17.822367, 18.291629, 20.280330, 115.054734], [25.837659, 27.084740, 27.117175, 30.549646, 142.126827], [61.670271, 62.086709, 64.194324, 71.670284, 383.715369], [58.099116, 59.997064, 60.786711, 67.479750, 355.275851], [23.412011, 24.085826, 25.063523, 27.882140, 147.303768]]
### 10
fourier: [[79.483787, 80.883030, 82.894181, 92.123967, 501.384188], [7.676985, 7.757634, 7.970723, 8.835320, 66.467132], [12.698638, 12.872081, 13.227350, 14.670655, 110.312458], [1.210960, 1.274301, 1.383429, 1.505194, 5.895696], [62.324691, 63.059125, 64.919302, 72.231693, 380.499841], [23.838257, 24.133259, 24.939341, 27.840451, 172.170707], [26.566197, 27.059977, 27.730320, 30.855632, 160.178182], [18.174119, 18.606275, 19.038119, 21.272501, 114.908328], [26.026989, 26.511766, 27.106228, 30.018209, 165.564123], [43.308001, 43.989058, 45.138332, 50.227399, 263.696292]]
### 12
fourier: [[71.862666, 72.940871, 74.908223, 83.315386, 417.281981]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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91
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{"target_pattern": "starts_with", "degraded_accuracy": 0.54, "improved_accuracy": 0.8, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9283, "learning_rate": 0.081365940997261, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[22.422081, 27.520970, 27.978229, 31.321774, 213.202478], [21.199105, 23.071879, 26.433271, 28.082483, 28.754647], [24.361087, 24.670022, 28.415029, 35.202945, 64.821244], [15.442171, 17.521251, 20.703197, 25.769069, 25.996245], [30.062130, 34.392858, 38.562254, 44.146759, 110.199467], [22.329167, 23.368845, 24.376276, 27.070638, 30.280813], [25.487579, 27.350828, 28.905629, 30.190876, 32.512254], [32.400476, 33.784744, 34.967405, 36.927964, 157.743464], [18.824249, 20.628238, 22.198357, 22.749923, 146.734285], [23.614754, 24.199674, 28.615069, 35.994447, 124.058387], [36.129360, 38.712589, 39.048055, 40.584951, 191.413598], [36.379673, 37.235546, 38.050269, 43.837251, 264.369262]]
### 2
fourier: [[12.058797, 13.078841, 13.831362, 18.566022, 20.001795], [35.030914, 37.074027, 38.687507, 44.980970, 230.453133], [14.686232, 15.409713, 15.725494, 16.104927, 102.155683], [33.543407, 34.247315, 36.848868, 41.895018, 200.614094], [9.669591, 9.872970, 10.814958, 16.300224, 32.697777], [74.050328, 75.071321, 79.166647, 83.736329, 474.568850], [14.650456, 15.152318, 17.918284, 18.289525, 161.825630], [19.073635, 20.146503, 21.842935, 25.996146, 181.153239], [33.752390, 35.966799, 37.730032, 40.270912, 277.651501], [43.291705, 45.462961, 46.690635, 49.622302, 299.896405], [14.383273, 16.537154, 17.922157, 18.598828, 69.950902], [24.156174, 25.657302, 25.806649, 28.905215, 231.086180]]
### 4
fourier: [[41.412329, 43.861105, 50.338848, 53.691511, 261.627019], [54.734639, 59.262856, 64.287140, 65.584137, 395.695412], [61.399459, 64.713963, 65.952500, 68.846396, 458.991458], [34.490690, 36.333582, 36.911394, 36.921117, 298.838401], [37.486008, 39.382021, 41.788166, 43.851717, 345.593411], [21.507551, 24.719361, 25.857927, 29.641468, 144.130127], [46.388889, 48.912240, 50.641902, 55.384183, 329.299358], [26.181086, 30.902343, 31.514296, 31.554343, 222.432685], [33.191000, 34.270527, 37.397232, 41.246460, 250.954795], [40.286327, 41.856447, 43.606859, 43.770523, 303.500769], [52.580126, 54.946339, 67.308331, 78.571899, 281.103225], [67.598955, 70.399792, 84.254069, 88.769926, 410.097535]]
### 6
fourier: [[38.213987, 40.214665, 46.935320, 53.844847, 253.038674], [51.425196, 53.148798, 60.571478, 65.301780, 351.744203], [1.355944, 1.393281, 1.459383, 1.569457, 34.640043], [20.388431, 20.787571, 23.137074, 23.964624, 161.102668], [16.543248, 17.327582, 20.034526, 22.720109, 126.436910], [44.016175, 45.894088, 52.826742, 59.025552, 245.938324], [58.201533, 60.776183, 70.447118, 78.152096, 360.373488], [6.834018, 7.135499, 8.379511, 9.085442, 56.646390], [41.001822, 42.874355, 49.631201, 55.707482, 281.740793], [29.933942, 30.919408, 35.194441, 37.986910, 187.961040], [62.580579, 65.317013, 75.258385, 84.487018, 403.993623], [25.828222, 26.378773, 29.691762, 30.175963, 193.161475]]
### 8
fourier: [[41.020800, 42.254814, 48.658548, 53.851930, 278.004341], [49.012054, 51.048938, 58.967809, 65.743188, 320.242961], [37.627394, 39.247577, 45.306496, 50.535711, 240.017727], [44.207724, 45.531091, 52.206204, 56.971710, 310.129616], [2.075453, 2.195949, 2.208368, 2.515391, 66.287899], [102.561988, 106.284646, 122.323876, 135.277612, 650.204370], [52.192611, 53.823675, 61.931731, 68.599442, 323.037045], [17.086870, 17.929307, 20.414291, 21.840745, 167.768975], [21.695284, 22.455525, 25.674331, 27.809781, 152.540644], [42.931053, 44.498922, 51.355094, 57.298694, 266.565945], [7.401221, 7.863749, 8.993376, 9.981493, 86.922172], [28.517971, 29.606825, 34.297279, 38.069922, 198.747222]]
### 10
fourier: [[30.972068, 31.931193, 36.935972, 41.258979, 146.700709], [9.914977, 10.272420, 11.796059, 13.058328, 70.133150], [23.000389, 23.970953, 27.480341, 30.086605, 187.690830], [48.674435, 50.668399, 58.093629, 63.741432, 366.403973], [15.405744, 16.036233, 18.405638, 20.152786, 145.059580], [52.452113, 54.419815, 62.607300, 69.191113, 334.718727], [21.452106, 22.173745, 25.667087, 28.728766, 98.977333], [5.881205, 6.091007, 7.012414, 7.806379, 63.642297], [7.186355, 7.501786, 8.561871, 9.283368, 84.754435], [21.344758, 22.086620, 25.517350, 28.458162, 136.326587], [3.306245, 3.363973, 3.859183, 4.184519, 21.624973], [25.380066, 26.409141, 30.293509, 33.236977, 184.866782]]
### 12
fourier: [[2.642381, 2.710250, 3.155956, 3.427897, 36.127448], [10.108678, 10.332779, 11.963922, 13.284382, 59.733676], [17.952341, 18.057564, 20.989963, 23.532342, 81.734054], [10.999474, 11.515778, 13.232272, 14.493770, 91.300590], [14.719084, 15.212334, 17.552005, 19.353755, 94.220770], [5.603994, 5.909514, 6.735117, 7.469989, 13.819763], [17.328383, 18.142542, 20.825487, 22.876671, 132.215159], [7.509934, 7.965779, 9.079676, 9.991692, 60.133719], [25.527449, 25.952884, 30.080143, 33.516316, 131.902824], [9.887023, 9.998683, 11.538401, 13.086254, 53.144139], [22.087678, 22.821890, 26.298147, 29.080147, 140.368462], [32.743557, 33.557610, 38.746359, 43.107904, 204.976955]]
### 14
fourier: [[12.583409, 12.598776, 14.550409, 16.379866, 32.993397]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[22.422081, 27.520970, 27.978229, 31.321774, 213.202478], [21.199105, 23.071879, 26.433271, 28.082483, 28.754647], [24.361087, 24.670022, 28.415029, 35.202945, 64.821244], [15.442171, 17.521251, 20.703197, 25.769069, 25.996245], [30.062130, 34.392858, 38.562254, 44.146759, 110.199467], [22.329167, 23.368845, 24.376276, 27.070638, 30.280813], [25.487579, 27.350828, 28.905629, 30.190876, 32.512254], [32.400476, 33.784744, 34.967405, 36.927964, 157.743464], [18.824249, 20.628238, 22.198357, 22.749923, 146.734285], [23.614754, 24.199674, 28.615069, 35.994447, 124.058387], [36.129360, 38.712589, 39.048055, 40.584951, 191.413598], [36.379673, 37.235546, 38.050269, 43.837251, 264.369262]]
### 2
fourier: [[12.058797, 13.078841, 13.831362, 18.566022, 20.001795], [35.030914, 37.074027, 38.687507, 44.980970, 230.453133], [14.686232, 15.409713, 15.725494, 16.104927, 102.155683], [33.543407, 34.247315, 36.848868, 41.895018, 200.614094], [9.669591, 9.872970, 10.814958, 16.300224, 32.697777], [74.050328, 75.071321, 79.166647, 83.736329, 474.568850], [14.650456, 15.152318, 17.918284, 18.289525, 161.825630], [19.073635, 20.146503, 21.842935, 25.996146, 181.153239], [33.752390, 35.966799, 37.730032, 40.270912, 277.651501], [43.291705, 45.462961, 46.690635, 49.622302, 299.896405], [14.383273, 16.537154, 17.922157, 18.598828, 69.950902], [24.156174, 25.657302, 25.806649, 28.905215, 231.086180]]
### 4
fourier: [[41.412329, 43.861105, 50.338848, 53.691511, 261.627019], [54.734639, 59.262856, 64.287140, 65.584137, 395.695412], [61.399459, 64.713963, 65.952500, 68.846396, 458.991458], [34.490690, 36.333582, 36.911394, 36.921117, 298.838401], [37.486008, 39.382021, 41.788166, 43.851717, 345.593411], [21.507551, 24.719361, 25.857927, 29.641468, 144.130127], [46.388889, 48.912240, 50.641902, 55.384183, 329.299358], [26.181086, 30.902343, 31.514296, 31.554343, 222.432685], [33.191000, 34.270527, 37.397232, 41.246460, 250.954795], [40.286327, 41.856447, 43.606859, 43.770523, 303.500769], [52.580126, 54.946339, 67.308331, 78.571899, 281.103225], [67.598955, 70.399792, 84.254069, 88.769926, 410.097535]]
### 6
fourier: [[38.213987, 40.214665, 46.935320, 53.844847, 253.038674], [51.425196, 53.148798, 60.571478, 65.301780, 351.744203], [1.355944, 1.393281, 1.459383, 1.569457, 34.640043], [20.388431, 20.787571, 23.137074, 23.964624, 161.102668], [16.543248, 17.327582, 20.034526, 22.720109, 126.436910], [44.016175, 45.894088, 52.826742, 59.025552, 245.938324], [58.201533, 60.776183, 70.447118, 78.152096, 360.373488], [6.834018, 7.135499, 8.379511, 9.085442, 56.646390], [41.001822, 42.874355, 49.631201, 55.707482, 281.740793], [29.933942, 30.919408, 35.194441, 37.986910, 187.961040], [62.580579, 65.317013, 75.258385, 84.487018, 403.993623], [25.828222, 26.378773, 29.691762, 30.175963, 193.161475]]
### 8
fourier: [[41.020800, 42.254814, 48.658548, 53.851930, 278.004341], [49.012054, 51.048938, 58.967809, 65.743188, 320.242961], [37.627394, 39.247577, 45.306496, 50.535711, 240.017727], [44.207724, 45.531091, 52.206204, 56.971710, 310.129616], [2.075453, 2.195949, 2.208368, 2.515391, 66.287899], [102.561988, 106.284646, 122.323876, 135.277612, 650.204370], [52.192611, 53.823675, 61.931731, 68.599442, 323.037045], [17.086870, 17.929307, 20.414291, 21.840745, 167.768975], [21.695284, 22.455525, 25.674331, 27.809781, 152.540644], [42.931053, 44.498922, 51.355094, 57.298694, 266.565945], [7.401221, 7.863749, 8.993376, 9.981493, 86.922172], [28.517971, 29.606825, 34.297279, 38.069922, 198.747222]]
### 10
fourier: [[30.972068, 31.931193, 36.935972, 41.258979, 146.700709], [9.914977, 10.272420, 11.796059, 13.058328, 70.133150], [23.000389, 23.970953, 27.480341, 30.086605, 187.690830], [48.674435, 50.668399, 58.093629, 63.741432, 366.403973], [15.405744, 16.036233, 18.405638, 20.152786, 145.059580], [52.452113, 54.419815, 62.607300, 69.191113, 334.718727], [21.452106, 22.173745, 25.667087, 28.728766, 98.977333], [5.881205, 6.091007, 7.012414, 7.806379, 63.642297], [7.186355, 7.501786, 8.561871, 9.283368, 84.754435], [21.344758, 22.086620, 25.517350, 28.458162, 136.326587], [3.306245, 3.363973, 3.859183, 4.184519, 21.624973], [25.380066, 26.409141, 30.293509, 33.236977, 184.866782]]
### 12
fourier: [[2.642381, 2.710250, 3.155956, 3.427897, 36.127448], [10.108678, 10.332779, 11.963922, 13.284382, 59.733676], [17.952341, 18.057564, 20.989963, 23.532342, 81.734054], [10.999474, 11.515778, 13.232272, 14.493770, 91.300590], [14.719084, 15.212334, 17.552005, 19.353755, 94.220770], [5.603994, 5.909514, 6.735117, 7.469989, 13.819763], [17.328383, 18.142542, 20.825487, 22.876671, 132.215159], [7.509934, 7.965779, 9.079676, 9.991692, 60.133719], [25.527449, 25.952884, 30.080143, 33.516316, 131.902824], [9.887023, 9.998683, 11.538401, 13.086254, 53.144139], [22.087678, 22.821890, 26.298147, 29.080147, 140.368462], [32.743557, 33.557610, 38.746359, 43.107904, 204.976955]]
### 14
fourier: [[12.583409, 12.598776, 14.550409, 16.379866, 32.993397]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6988609433174133, "train_acc": 0.485, "val_loss": 0.7630334496498108, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7121547758579254, "train_acc": 0.575, "val_loss": 0.6886571645736694, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6937328279018402, "train_acc": 0.5, "val_loss": 0.6276208758354187, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6396494805812836, "train_acc": 0.7, "val_loss": 0.5390422940254211, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5582132637500763, "train_acc": 0.75, "val_loss": 0.515657365322113, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5010880827903748, "train_acc": 0.765, "val_loss": 0.5205087065696716, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6663764417171478, "train_acc": 0.715, "val_loss": 0.4433923661708832, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4838659018278122, "train_acc": 0.775, "val_loss": 0.5401105284690857, "val_acc": 0.7}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.579910397529602, "train_acc": 0.705, "val_loss": 0.5814761519432068, "val_acc": 0.68}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.587651938199997, "train_acc": 0.66, "val_loss": 0.530867338180542, "val_acc": 0.7}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7630334496498108, "final_val_loss": 0.6886571645736694, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6276208758354187, "final_val_loss": 0.530867338180542, "initial_val_acc": 0.76, "final_val_acc": 0.7, "best_val_acc": 0.8, "best_epoch": 3}, "improvement": 0.26, "first_improvement_epoch": 1}}
|
92
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.62, "improved_accuracy": 0.96, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1428, "learning_rate": 0.04296735297046316, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[31.535283, 31.978625, 34.928579, 38.146781, 148.692361], [26.608902, 28.698110, 35.146812, 37.094730, 60.228862], [14.142770, 16.048083, 16.057252, 20.520730, 20.628839], [23.248583, 25.815944, 26.497289, 33.549622, 141.672940], [12.804029, 13.554167, 14.799067, 16.427215, 18.076050], [30.147009, 31.420179, 33.147131, 34.228852, 45.764810], [23.179518, 24.631993, 25.138382, 28.690477, 92.215018]]
### 2
fourier: [[12.256132, 13.737684, 15.481006, 16.024975, 93.344171], [14.919779, 15.005114, 15.333500, 16.834896, 137.211559], [16.267374, 16.647842, 17.865195, 18.230843, 104.763445], [11.800650, 12.324029, 12.807235, 15.357496, 103.594348], [22.701686, 23.540837, 26.982829, 29.110526, 160.776259], [12.250968, 12.631214, 13.561693, 15.514957, 45.404385], [10.871513, 11.733212, 15.009371, 20.657325, 104.187582]]
### 4
fourier: [[29.350328, 29.674108, 34.032545, 36.819622, 215.826932], [13.190483, 14.979006, 15.138249, 15.629502, 114.486801], [29.631405, 32.480922, 34.381101, 35.022946, 216.210042], [56.416108, 59.921230, 64.863878, 65.708359, 380.241451], [12.323042, 13.898064, 15.421450, 16.124072, 55.908690], [7.607924, 8.444652, 9.357422, 10.934675, 47.196437], [27.020133, 27.575134, 30.993521, 31.556200, 209.909150]]
### 6
fourier: [[28.728811, 30.768226, 32.766888, 34.030345, 170.566678], [19.733764, 20.937119, 22.548771, 22.728081, 138.999013], [51.995367, 53.645068, 59.122694, 61.178495, 362.713964], [13.080886, 14.235497, 14.708179, 15.989046, 103.658847], [47.375541, 49.800334, 53.568361, 57.035620, 341.993614], [87.022738, 90.868074, 99.004619, 102.930021, 614.057380], [74.679165, 77.520695, 84.621290, 88.891857, 548.494803]]
### 8
fourier: [[13.537566, 14.120949, 15.798808, 15.996385, 72.105619], [127.215555, 131.835963, 144.287401, 151.186093, 903.546024], [89.877127, 93.103846, 101.687578, 106.617072, 706.486191], [74.695901, 76.906754, 85.095691, 88.390284, 524.812966], [136.300660, 141.433317, 154.605445, 162.082234, 992.760349], [119.735275, 124.331135, 135.891678, 142.094940, 839.143518], [77.316671, 79.916908, 87.779162, 91.497871, 528.421334]]
### 10
fourier: [[220.400624, 228.150323, 250.062628, 261.747222, 1555.672691], [111.902785, 116.929898, 127.129966, 133.408965, 884.735244], [55.648332, 57.237627, 63.035908, 65.852049, 323.926977], [123.666945, 128.752911, 140.564728, 147.006469, 888.997582], [13.046134, 14.546315, 15.002694, 15.591894, 172.926348], [240.091510, 248.269720, 272.268463, 285.343138, 1703.856029], [218.449675, 226.124665, 247.798825, 259.501487, 1530.515421]]
### 12
fourier: [[68.762399, 71.286783, 77.328114, 81.594631, 414.046020], [433.784757, 449.452682, 491.812159, 515.564072, 3043.926389], [147.474919, 153.027693, 168.763161, 175.750006, 1173.718880], [421.362821, 436.817021, 478.001993, 500.844548, 2951.715658], [159.824172, 165.670141, 180.310001, 189.688778, 1041.969797], [30.006625, 30.985877, 32.923051, 35.364922, 105.119450], [155.446093, 161.179869, 176.751103, 184.847875, 1207.647548]]
### 14
fourier: [[282.552408, 295.181121, 319.657299, 334.811679, 1943.040447], [295.877343, 306.641624, 335.773522, 351.891543, 2031.791627], [275.045606, 286.665804, 311.376468, 326.359867, 1865.649100], [290.674791, 304.367950, 329.606578, 344.619963, 1846.896495], [38.472075, 41.246650, 44.003134, 45.291913, 181.852966], [502.625008, 523.232784, 569.530546, 596.747995, 3464.889055], [215.203931, 219.871333, 244.042862, 256.780630, 1682.468540]]
### 16
fourier: [[364.116598, 377.104690, 414.407887, 433.488075, 2382.294718]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[31.535283, 31.978625, 34.928579, 38.146781, 148.692361], [26.608902, 28.698110, 35.146812, 37.094730, 60.228862], [14.142770, 16.048083, 16.057252, 20.520730, 20.628839], [23.248583, 25.815944, 26.497289, 33.549622, 141.672940], [12.804029, 13.554167, 14.799067, 16.427215, 18.076050], [30.147009, 31.420179, 33.147131, 34.228852, 45.764810], [23.179518, 24.631993, 25.138382, 28.690477, 92.215018]]
### 2
fourier: [[12.256132, 13.737684, 15.481006, 16.024975, 93.344171], [14.919779, 15.005114, 15.333500, 16.834896, 137.211559], [16.267374, 16.647842, 17.865195, 18.230843, 104.763445], [11.800650, 12.324029, 12.807235, 15.357496, 103.594348], [22.701686, 23.540837, 26.982829, 29.110526, 160.776259], [12.250968, 12.631214, 13.561693, 15.514957, 45.404385], [10.871513, 11.733212, 15.009371, 20.657325, 104.187582]]
### 4
fourier: [[29.350328, 29.674108, 34.032545, 36.819622, 215.826932], [13.190483, 14.979006, 15.138249, 15.629502, 114.486801], [29.631405, 32.480922, 34.381101, 35.022946, 216.210042], [56.416108, 59.921230, 64.863878, 65.708359, 380.241451], [12.323042, 13.898064, 15.421450, 16.124072, 55.908690], [7.607924, 8.444652, 9.357422, 10.934675, 47.196437], [27.020133, 27.575134, 30.993521, 31.556200, 209.909150]]
### 6
fourier: [[28.728811, 30.768226, 32.766888, 34.030345, 170.566678], [19.733764, 20.937119, 22.548771, 22.728081, 138.999013], [51.995367, 53.645068, 59.122694, 61.178495, 362.713964], [13.080886, 14.235497, 14.708179, 15.989046, 103.658847], [47.375541, 49.800334, 53.568361, 57.035620, 341.993614], [87.022738, 90.868074, 99.004619, 102.930021, 614.057380], [74.679165, 77.520695, 84.621290, 88.891857, 548.494803]]
### 8
fourier: [[13.537566, 14.120949, 15.798808, 15.996385, 72.105619], [127.215555, 131.835963, 144.287401, 151.186093, 903.546024], [89.877127, 93.103846, 101.687578, 106.617072, 706.486191], [74.695901, 76.906754, 85.095691, 88.390284, 524.812966], [136.300660, 141.433317, 154.605445, 162.082234, 992.760349], [119.735275, 124.331135, 135.891678, 142.094940, 839.143518], [77.316671, 79.916908, 87.779162, 91.497871, 528.421334]]
### 10
fourier: [[220.400624, 228.150323, 250.062628, 261.747222, 1555.672691], [111.902785, 116.929898, 127.129966, 133.408965, 884.735244], [55.648332, 57.237627, 63.035908, 65.852049, 323.926977], [123.666945, 128.752911, 140.564728, 147.006469, 888.997582], [13.046134, 14.546315, 15.002694, 15.591894, 172.926348], [240.091510, 248.269720, 272.268463, 285.343138, 1703.856029], [218.449675, 226.124665, 247.798825, 259.501487, 1530.515421]]
### 12
fourier: [[68.762399, 71.286783, 77.328114, 81.594631, 414.046020], [433.784757, 449.452682, 491.812159, 515.564072, 3043.926389], [147.474919, 153.027693, 168.763161, 175.750006, 1173.718880], [421.362821, 436.817021, 478.001993, 500.844548, 2951.715658], [159.824172, 165.670141, 180.310001, 189.688778, 1041.969797], [30.006625, 30.985877, 32.923051, 35.364922, 105.119450], [155.446093, 161.179869, 176.751103, 184.847875, 1207.647548]]
### 14
fourier: [[282.552408, 295.181121, 319.657299, 334.811679, 1943.040447], [295.877343, 306.641624, 335.773522, 351.891543, 2031.791627], [275.045606, 286.665804, 311.376468, 326.359867, 1865.649100], [290.674791, 304.367950, 329.606578, 344.619963, 1846.896495], [38.472075, 41.246650, 44.003134, 45.291913, 181.852966], [502.625008, 523.232784, 569.530546, 596.747995, 3464.889055], [215.203931, 219.871333, 244.042862, 256.780630, 1682.468540]]
### 16
fourier: [[364.116598, 377.104690, 414.407887, 433.488075, 2382.294718]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6990126073360443, "train_acc": 0.45, "val_loss": 0.6773439049720764, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7064446806907654, "train_acc": 0.55, "val_loss": 0.6633309721946716, "val_acc": 0.62}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6811786890029907, "train_acc": 0.55, "val_loss": 0.6315767168998718, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6386476457118988, "train_acc": 0.47, "val_loss": 0.3992905914783478, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5222990065813065, "train_acc": 0.59, "val_loss": 0.3253759741783142, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.44209176301956177, "train_acc": 0.865, "val_loss": 0.26456978917121887, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.35281091928482056, "train_acc": 0.905, "val_loss": 0.3834077715873718, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3302978128194809, "train_acc": 0.905, "val_loss": 0.20239326357841492, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.255399614572525, "train_acc": 0.94, "val_loss": 0.19943709671497345, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.23582268506288528, "train_acc": 0.935, "val_loss": 0.20711147785186768, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.19459111988544464, "train_acc": 0.94, "val_loss": 0.19861236214637756, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.20562694221735, "train_acc": 0.94, "val_loss": 0.1762194037437439, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.17629092931747437, "train_acc": 0.95, "val_loss": 0.14931245148181915, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6773439049720764, "final_val_loss": 0.6315767168998718, "initial_val_acc": 0.62, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.3992905914783478, "final_val_loss": 0.14931245148181915, "initial_val_acc": 0.62, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 12}, "improvement": 0.33999999999999997, "first_improvement_epoch": 2}}
|
93
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.5, "improved_accuracy": 0.96, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 9, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3126, "learning_rate": 0.08469175679902498, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[13.132559, 17.053599, 17.998887, 19.399582, 100.625926], [29.280062, 31.637895, 34.628721, 37.440744, 38.812444], [31.510787, 35.010820, 40.997887, 41.218052, 140.465278], [33.226370, 36.168434, 41.294301, 43.024177, 225.543020], [49.180847, 52.200257, 52.614957, 62.573537, 232.471915], [28.968311, 30.455348, 32.275434, 33.752041, 116.021948], [24.169276, 24.918391, 25.687758, 26.718602, 128.308602], [27.637985, 27.761315, 28.291191, 28.503476, 76.563959], [25.470344, 33.312055, 38.413975, 39.424289, 188.613921]]
### 2
fourier: [[35.035725, 39.758938, 39.926300, 40.346082, 66.382058], [19.571976, 24.858709, 27.325610, 27.924821, 99.638443], [19.221071, 20.020067, 20.861792, 21.098225, 23.359415], [28.720571, 28.761631, 29.936408, 37.928783, 151.776939], [32.614062, 37.540013, 38.150141, 39.378270, 177.956655], [30.158992, 33.858274, 34.368516, 43.463093, 55.849076], [31.144078, 35.397667, 35.548333, 36.341633, 115.383785], [11.697468, 12.628917, 12.722281, 16.621775, 86.995383], [11.586038, 11.588059, 14.820812, 18.811278, 64.332581]]
### 4
fourier: [[10.951534, 11.616538, 11.722092, 12.194048, 31.843703], [57.480656, 59.655030, 63.739136, 65.089490, 242.951209], [32.168353, 35.752434, 40.862403, 42.433234, 73.598887], [25.869157, 26.462460, 27.512244, 33.480576, 36.142221], [20.876271, 21.717729, 25.769715, 26.185794, 82.107294], [9.172774, 9.438631, 10.690913, 12.078817, 17.366014], [47.078626, 51.374237, 52.730368, 56.624993, 133.080710], [10.716008, 11.196044, 12.503381, 12.892026, 44.329368], [19.446917, 20.340912, 22.914653, 24.732874, 24.880874]]
### 6
fourier: [[13.193232, 16.305756, 17.146187, 19.014734, 91.246460], [15.914985, 19.109133, 20.896157, 22.170218, 42.665630], [40.152556, 40.850842, 44.385361, 45.812588, 97.615944], [4.469192, 4.710769, 4.944503, 6.201152, 125.445137], [59.973952, 73.346429, 78.705556, 87.982229, 297.251095], [39.864696, 41.231789, 44.464160, 45.208718, 116.825248], [20.744935, 21.093634, 22.710415, 22.989033, 26.055495], [64.601434, 78.924368, 84.679496, 95.740017, 271.466277], [78.498024, 81.388579, 87.100610, 91.112436, 303.091634]]
### 8
fourier: [[43.502560, 46.746257, 48.426617, 49.895389, 131.465694], [38.730036, 46.606352, 50.917507, 59.247341, 211.549338], [29.589709, 31.553512, 31.994533, 33.459551, 72.333882], [26.818719, 26.898990, 28.247877, 31.291327, 44.250621], [27.610614, 30.798312, 34.837340, 39.933059, 108.706725], [26.994314, 27.141321, 28.483988, 31.060551, 68.645398], [22.773128, 29.855518, 31.909713, 33.869567, 180.717809], [37.288315, 39.266660, 41.201476, 46.598863, 120.205655], [83.379229, 89.746615, 92.756766, 102.398616, 322.222947]]
### 10
fourier: [[35.772801, 41.872622, 45.795522, 52.581496, 219.921148], [84.528249, 97.827704, 107.579044, 125.467334, 460.383644], [31.913907, 37.977228, 39.797690, 45.957213, 153.253570], [40.064192, 45.299703, 45.850439, 53.214396, 190.357049], [36.868267, 43.844862, 48.094675, 55.557890, 193.257227], [33.375009, 39.446418, 41.014909, 47.384309, 165.898914], [77.343094, 91.527786, 98.580428, 114.631364, 344.554467], [73.890381, 85.774955, 88.799653, 104.120443, 352.810588], [53.588980, 61.462143, 68.605876, 79.381696, 310.217041]]
### 12
fourier: [[45.971271, 52.668170, 56.769860, 67.693373, 264.137302], [43.362062, 46.688508, 53.655653, 62.659632, 236.620324], [38.712039, 43.082900, 48.243662, 57.077891, 222.019543], [25.291847, 29.159430, 32.456454, 38.478725, 148.504952], [60.181018, 68.898241, 72.765478, 85.886327, 239.652698], [68.117189, 79.946968, 84.523288, 99.907986, 346.581374], [33.122727, 37.424380, 41.545209, 49.385617, 204.300998], [36.493533, 40.361031, 46.693783, 54.033374, 211.361000], [61.473082, 70.034725, 73.686045, 86.547113, 304.659768]]
### 14
fourier: [[74.281181, 80.677293, 93.113983, 109.669797, 487.376467], [43.512386, 49.712881, 54.549830, 63.948717, 232.847152], [2.732666, 2.938291, 3.465281, 3.653737, 35.140819], [61.398199, 69.513583, 76.170908, 89.424425, 345.781327], [23.901945, 27.034354, 29.188407, 34.590713, 94.580458], [93.420441, 103.907803, 118.033056, 138.995410, 555.851990], [45.442498, 49.385857, 56.529053, 66.775579, 304.397997], [50.668304, 58.976558, 65.115506, 76.597765, 274.696559], [29.478776, 32.404815, 34.042779, 34.203158, 40.798928]]
### 16
fourier: [[64.621629, 73.346809, 83.623339, 98.488209, 354.732344]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 9
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[13.132559, 17.053599, 17.998887, 19.399582, 100.625926], [29.280062, 31.637895, 34.628721, 37.440744, 38.812444], [31.510787, 35.010820, 40.997887, 41.218052, 140.465278], [33.226370, 36.168434, 41.294301, 43.024177, 225.543020], [49.180847, 52.200257, 52.614957, 62.573537, 232.471915], [28.968311, 30.455348, 32.275434, 33.752041, 116.021948], [24.169276, 24.918391, 25.687758, 26.718602, 128.308602], [27.637985, 27.761315, 28.291191, 28.503476, 76.563959], [25.470344, 33.312055, 38.413975, 39.424289, 188.613921]]
### 2
fourier: [[35.035725, 39.758938, 39.926300, 40.346082, 66.382058], [19.571976, 24.858709, 27.325610, 27.924821, 99.638443], [19.221071, 20.020067, 20.861792, 21.098225, 23.359415], [28.720571, 28.761631, 29.936408, 37.928783, 151.776939], [32.614062, 37.540013, 38.150141, 39.378270, 177.956655], [30.158992, 33.858274, 34.368516, 43.463093, 55.849076], [31.144078, 35.397667, 35.548333, 36.341633, 115.383785], [11.697468, 12.628917, 12.722281, 16.621775, 86.995383], [11.586038, 11.588059, 14.820812, 18.811278, 64.332581]]
### 4
fourier: [[10.951534, 11.616538, 11.722092, 12.194048, 31.843703], [57.480656, 59.655030, 63.739136, 65.089490, 242.951209], [32.168353, 35.752434, 40.862403, 42.433234, 73.598887], [25.869157, 26.462460, 27.512244, 33.480576, 36.142221], [20.876271, 21.717729, 25.769715, 26.185794, 82.107294], [9.172774, 9.438631, 10.690913, 12.078817, 17.366014], [47.078626, 51.374237, 52.730368, 56.624993, 133.080710], [10.716008, 11.196044, 12.503381, 12.892026, 44.329368], [19.446917, 20.340912, 22.914653, 24.732874, 24.880874]]
### 6
fourier: [[13.193232, 16.305756, 17.146187, 19.014734, 91.246460], [15.914985, 19.109133, 20.896157, 22.170218, 42.665630], [40.152556, 40.850842, 44.385361, 45.812588, 97.615944], [4.469192, 4.710769, 4.944503, 6.201152, 125.445137], [59.973952, 73.346429, 78.705556, 87.982229, 297.251095], [39.864696, 41.231789, 44.464160, 45.208718, 116.825248], [20.744935, 21.093634, 22.710415, 22.989033, 26.055495], [64.601434, 78.924368, 84.679496, 95.740017, 271.466277], [78.498024, 81.388579, 87.100610, 91.112436, 303.091634]]
### 8
fourier: [[43.502560, 46.746257, 48.426617, 49.895389, 131.465694], [38.730036, 46.606352, 50.917507, 59.247341, 211.549338], [29.589709, 31.553512, 31.994533, 33.459551, 72.333882], [26.818719, 26.898990, 28.247877, 31.291327, 44.250621], [27.610614, 30.798312, 34.837340, 39.933059, 108.706725], [26.994314, 27.141321, 28.483988, 31.060551, 68.645398], [22.773128, 29.855518, 31.909713, 33.869567, 180.717809], [37.288315, 39.266660, 41.201476, 46.598863, 120.205655], [83.379229, 89.746615, 92.756766, 102.398616, 322.222947]]
### 10
fourier: [[35.772801, 41.872622, 45.795522, 52.581496, 219.921148], [84.528249, 97.827704, 107.579044, 125.467334, 460.383644], [31.913907, 37.977228, 39.797690, 45.957213, 153.253570], [40.064192, 45.299703, 45.850439, 53.214396, 190.357049], [36.868267, 43.844862, 48.094675, 55.557890, 193.257227], [33.375009, 39.446418, 41.014909, 47.384309, 165.898914], [77.343094, 91.527786, 98.580428, 114.631364, 344.554467], [73.890381, 85.774955, 88.799653, 104.120443, 352.810588], [53.588980, 61.462143, 68.605876, 79.381696, 310.217041]]
### 12
fourier: [[45.971271, 52.668170, 56.769860, 67.693373, 264.137302], [43.362062, 46.688508, 53.655653, 62.659632, 236.620324], [38.712039, 43.082900, 48.243662, 57.077891, 222.019543], [25.291847, 29.159430, 32.456454, 38.478725, 148.504952], [60.181018, 68.898241, 72.765478, 85.886327, 239.652698], [68.117189, 79.946968, 84.523288, 99.907986, 346.581374], [33.122727, 37.424380, 41.545209, 49.385617, 204.300998], [36.493533, 40.361031, 46.693783, 54.033374, 211.361000], [61.473082, 70.034725, 73.686045, 86.547113, 304.659768]]
### 14
fourier: [[74.281181, 80.677293, 93.113983, 109.669797, 487.376467], [43.512386, 49.712881, 54.549830, 63.948717, 232.847152], [2.732666, 2.938291, 3.465281, 3.653737, 35.140819], [61.398199, 69.513583, 76.170908, 89.424425, 345.781327], [23.901945, 27.034354, 29.188407, 34.590713, 94.580458], [93.420441, 103.907803, 118.033056, 138.995410, 555.851990], [45.442498, 49.385857, 56.529053, 66.775579, 304.397997], [50.668304, 58.976558, 65.115506, 76.597765, 274.696559], [29.478776, 32.404815, 34.042779, 34.203158, 40.798928]]
### 16
fourier: [[64.621629, 73.346809, 83.623339, 98.488209, 354.732344]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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-0.188653, -0.199184]], "network.16.bias": [0.181265]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7013742625713348, "train_acc": 0.475, "val_loss": 0.7325378656387329, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6784544885158539, "train_acc": 0.585, "val_loss": 0.7182615399360657, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6774198412895203, "train_acc": 0.585, "val_loss": 0.6805230975151062, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.8258113861083984, "train_acc": 0.57, "val_loss": 0.659555196762085, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6796472370624542, "train_acc": 0.67, "val_loss": 0.6806830763816833, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.652974009513855, "train_acc": 0.62, "val_loss": 0.6504268646240234, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6431223452091217, "train_acc": 0.755, "val_loss": 0.5969877243041992, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5596291124820709, "train_acc": 0.855, "val_loss": 0.3812362253665924, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.44759660959243774, "train_acc": 0.88, "val_loss": 0.2858707010746002, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.43314090371131897, "train_acc": 0.865, "val_loss": 0.6161254644393921, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.5084429532289505, "train_acc": 0.78, "val_loss": 0.43190014362335205, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.48996496200561523, "train_acc": 0.805, "val_loss": 0.4019915461540222, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7325378656387329, "final_val_loss": 0.6805230975151062, "initial_val_acc": 0.48, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.659555196762085, "final_val_loss": 0.4019915461540222, "initial_val_acc": 0.64, "final_val_acc": 0.88, "best_val_acc": 0.96, "best_epoch": 8}, "improvement": 0.45999999999999996, "first_improvement_epoch": 2}}
|
94
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.44, "improved_accuracy": 0.9, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 11, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5994, "learning_rate": 0.027663846854421838, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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[
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[
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"network.0.bias": [
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## Activation Signature
### 0
fourier: [[30.051910, 30.510226, 40.224503, 49.627037, 88.287912], [29.674509, 31.253507, 32.537870, 39.126054, 165.334911], [34.296225, 37.583037, 39.585713, 42.259025, 101.030206], [26.797978, 28.246402, 29.816368, 32.384377, 32.890282], [33.418747, 35.942450, 40.413258, 43.525729, 75.287362], [17.193753, 17.659312, 17.863758, 18.196633, 18.203709], [17.606333, 17.673812, 17.864835, 18.517119, 66.277397], [19.742440, 22.139384, 26.028591, 28.093812, 49.807046], [25.737652, 29.356360, 31.699433, 38.133788, 96.303925], [18.890768, 20.981290, 21.437951, 21.711584, 38.485135], [31.060722, 32.209328, 37.193308, 40.032051, 102.809621]]
### 2
fourier: [[51.876896, 56.770551, 60.424636, 64.480190, 190.943999], [49.855224, 50.068820, 50.661291, 56.655989, 109.594786], [31.920066, 35.935626, 38.392085, 42.143113, 199.841272], [14.948929, 15.306798, 16.538598, 17.822078, 184.063082], [26.774309, 28.701922, 29.682155, 39.285201, 60.038920], [54.229182, 57.224823, 64.603560, 71.899725, 253.346863], [29.708096, 29.770468, 30.393755, 32.152207, 142.364572], [11.131995, 12.150388, 12.540470, 12.910931, 70.420143], [27.409907, 27.669120, 29.147514, 32.449125, 81.027833], [30.833517, 32.349529, 32.837253, 41.810051, 189.847443], [34.868764, 35.978819, 36.994079, 46.822729, 143.314669]]
### 4
fourier: [[39.415906, 39.523941, 41.168985, 44.585644, 108.465433], [14.814120, 16.020145, 18.281080, 18.361528, 128.536883], [18.702502, 18.753711, 22.748326, 23.309025, 43.964438], [38.863277, 41.508863, 48.031138, 48.301924, 194.288149], [57.393923, 59.434972, 63.889433, 65.481940, 255.119645], [35.829493, 35.853107, 42.176554, 44.908189, 198.446988], [24.345681, 24.766690, 28.209288, 33.122522, 135.229223], [88.318712, 92.393298, 100.984713, 107.567405, 398.515674], [44.881053, 46.395262, 51.049439, 54.961796, 156.807786], [28.679397, 29.909637, 30.554236, 37.108335, 148.146596], [5.267885, 5.560011, 6.240350, 6.316240, 50.296960]]
### 6
fourier: [[6.883321, 7.279331, 7.566633, 8.534329, 34.047340], [41.543436, 43.851944, 44.528127, 46.942503, 158.447196], [5.389841, 5.637291, 6.742437, 7.410373, 32.414415], [83.411273, 85.511455, 96.216643, 101.262294, 416.236565], [89.219006, 89.998437, 102.947241, 110.730404, 429.970462], [23.509146, 24.804404, 26.051584, 26.410081, 95.618103], [2.859081, 2.872187, 3.157764, 3.489351, 40.744003], [53.601760, 54.084177, 59.958568, 61.734119, 278.184410], [88.690463, 90.780896, 101.198055, 106.078807, 439.846433], [30.702775, 31.440290, 31.700232, 33.941257, 79.131683], [3.085712, 3.090539, 3.688858, 4.369033, 27.745422]]
### 8
fourier: [[101.431701, 102.226913, 114.382537, 118.454563, 513.307822], [12.364280, 12.449731, 15.553512, 16.703745, 17.421126], [56.284950, 57.171232, 65.389866, 67.591392, 290.144084], [145.773377, 147.907664, 166.189543, 173.358114, 734.716188], [40.594471, 42.910452, 43.147315, 43.695068, 164.124969], [138.380883, 139.773803, 160.120280, 167.772117, 738.695593], [47.163081, 47.315027, 54.205836, 57.058766, 254.441652], [30.946792, 31.089240, 35.754204, 37.436928, 201.030485], [10.465201, 11.188513, 12.744907, 13.912416, 15.060731], [38.476962, 39.902714, 43.880504, 45.849876, 254.791281], [63.913680, 67.156768, 68.760212, 70.747197, 257.080651]]
### 10
fourier: [[51.141257, 52.459876, 59.676731, 61.688577, 271.633061], [34.311708, 34.567583, 34.921145, 39.656798, 119.062132], [69.828685, 71.331873, 80.819957, 84.032550, 375.011733], [148.947503, 150.279011, 165.793314, 171.517057, 761.553103], [42.660293, 42.809899, 49.315623, 51.580897, 240.760405], [27.739958, 28.589167, 32.530889, 33.720481, 176.889409], [49.675821, 51.094076, 57.747834, 60.056754, 261.864414], [56.293206, 58.701209, 65.546411, 68.681473, 323.173603], [8.705302, 9.185795, 9.384085, 12.854760, 12.962102], [56.003065, 58.011460, 65.334561, 68.449292, 317.921551], [76.147755, 77.500611, 88.119754, 91.493254, 412.314055]]
### 12
fourier: [[16.529907, 16.990228, 19.330134, 19.950922, 98.701205], [67.969655, 70.179281, 75.790912, 77.465045, 353.561625], [13.453217, 13.820449, 14.750036, 15.484519, 81.598966], [80.007839, 81.218709, 89.571040, 91.824634, 411.310626], [48.499589, 51.025001, 53.236368, 54.241396, 207.099708], [6.944558, 6.976077, 7.228684, 7.414995, 7.523463], [66.064875, 66.983005, 74.129814, 76.005102, 351.692751], [74.865956, 77.818418, 82.933283, 84.675446, 409.221642], [5.163512, 5.404965, 5.967116, 6.189173, 38.311896], [14.097607, 14.273307, 16.144895, 16.624980, 91.453522], [15.889928, 16.053355, 18.115164, 18.648919, 119.099662]]
### 14
fourier: [[116.982430, 118.822320, 131.400909, 134.086445, 662.993081]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 11
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[30.051910, 30.510226, 40.224503, 49.627037, 88.287912], [29.674509, 31.253507, 32.537870, 39.126054, 165.334911], [34.296225, 37.583037, 39.585713, 42.259025, 101.030206], [26.797978, 28.246402, 29.816368, 32.384377, 32.890282], [33.418747, 35.942450, 40.413258, 43.525729, 75.287362], [17.193753, 17.659312, 17.863758, 18.196633, 18.203709], [17.606333, 17.673812, 17.864835, 18.517119, 66.277397], [19.742440, 22.139384, 26.028591, 28.093812, 49.807046], [25.737652, 29.356360, 31.699433, 38.133788, 96.303925], [18.890768, 20.981290, 21.437951, 21.711584, 38.485135], [31.060722, 32.209328, 37.193308, 40.032051, 102.809621]]
### 2
fourier: [[51.876896, 56.770551, 60.424636, 64.480190, 190.943999], [49.855224, 50.068820, 50.661291, 56.655989, 109.594786], [31.920066, 35.935626, 38.392085, 42.143113, 199.841272], [14.948929, 15.306798, 16.538598, 17.822078, 184.063082], [26.774309, 28.701922, 29.682155, 39.285201, 60.038920], [54.229182, 57.224823, 64.603560, 71.899725, 253.346863], [29.708096, 29.770468, 30.393755, 32.152207, 142.364572], [11.131995, 12.150388, 12.540470, 12.910931, 70.420143], [27.409907, 27.669120, 29.147514, 32.449125, 81.027833], [30.833517, 32.349529, 32.837253, 41.810051, 189.847443], [34.868764, 35.978819, 36.994079, 46.822729, 143.314669]]
### 4
fourier: [[39.415906, 39.523941, 41.168985, 44.585644, 108.465433], [14.814120, 16.020145, 18.281080, 18.361528, 128.536883], [18.702502, 18.753711, 22.748326, 23.309025, 43.964438], [38.863277, 41.508863, 48.031138, 48.301924, 194.288149], [57.393923, 59.434972, 63.889433, 65.481940, 255.119645], [35.829493, 35.853107, 42.176554, 44.908189, 198.446988], [24.345681, 24.766690, 28.209288, 33.122522, 135.229223], [88.318712, 92.393298, 100.984713, 107.567405, 398.515674], [44.881053, 46.395262, 51.049439, 54.961796, 156.807786], [28.679397, 29.909637, 30.554236, 37.108335, 148.146596], [5.267885, 5.560011, 6.240350, 6.316240, 50.296960]]
### 6
fourier: [[6.883321, 7.279331, 7.566633, 8.534329, 34.047340], [41.543436, 43.851944, 44.528127, 46.942503, 158.447196], [5.389841, 5.637291, 6.742437, 7.410373, 32.414415], [83.411273, 85.511455, 96.216643, 101.262294, 416.236565], [89.219006, 89.998437, 102.947241, 110.730404, 429.970462], [23.509146, 24.804404, 26.051584, 26.410081, 95.618103], [2.859081, 2.872187, 3.157764, 3.489351, 40.744003], [53.601760, 54.084177, 59.958568, 61.734119, 278.184410], [88.690463, 90.780896, 101.198055, 106.078807, 439.846433], [30.702775, 31.440290, 31.700232, 33.941257, 79.131683], [3.085712, 3.090539, 3.688858, 4.369033, 27.745422]]
### 8
fourier: [[101.431701, 102.226913, 114.382537, 118.454563, 513.307822], [12.364280, 12.449731, 15.553512, 16.703745, 17.421126], [56.284950, 57.171232, 65.389866, 67.591392, 290.144084], [145.773377, 147.907664, 166.189543, 173.358114, 734.716188], [40.594471, 42.910452, 43.147315, 43.695068, 164.124969], [138.380883, 139.773803, 160.120280, 167.772117, 738.695593], [47.163081, 47.315027, 54.205836, 57.058766, 254.441652], [30.946792, 31.089240, 35.754204, 37.436928, 201.030485], [10.465201, 11.188513, 12.744907, 13.912416, 15.060731], [38.476962, 39.902714, 43.880504, 45.849876, 254.791281], [63.913680, 67.156768, 68.760212, 70.747197, 257.080651]]
### 10
fourier: [[51.141257, 52.459876, 59.676731, 61.688577, 271.633061], [34.311708, 34.567583, 34.921145, 39.656798, 119.062132], [69.828685, 71.331873, 80.819957, 84.032550, 375.011733], [148.947503, 150.279011, 165.793314, 171.517057, 761.553103], [42.660293, 42.809899, 49.315623, 51.580897, 240.760405], [27.739958, 28.589167, 32.530889, 33.720481, 176.889409], [49.675821, 51.094076, 57.747834, 60.056754, 261.864414], [56.293206, 58.701209, 65.546411, 68.681473, 323.173603], [8.705302, 9.185795, 9.384085, 12.854760, 12.962102], [56.003065, 58.011460, 65.334561, 68.449292, 317.921551], [76.147755, 77.500611, 88.119754, 91.493254, 412.314055]]
### 12
fourier: [[16.529907, 16.990228, 19.330134, 19.950922, 98.701205], [67.969655, 70.179281, 75.790912, 77.465045, 353.561625], [13.453217, 13.820449, 14.750036, 15.484519, 81.598966], [80.007839, 81.218709, 89.571040, 91.824634, 411.310626], [48.499589, 51.025001, 53.236368, 54.241396, 207.099708], [6.944558, 6.976077, 7.228684, 7.414995, 7.523463], [66.064875, 66.983005, 74.129814, 76.005102, 351.692751], [74.865956, 77.818418, 82.933283, 84.675446, 409.221642], [5.163512, 5.404965, 5.967116, 6.189173, 38.311896], [14.097607, 14.273307, 16.144895, 16.624980, 91.453522], [15.889928, 16.053355, 18.115164, 18.648919, 119.099662]]
### 14
fourier: [[116.982430, 118.822320, 131.400909, 134.086445, 662.993081]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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95
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{"target_pattern": "contains_abc", "degraded_accuracy": 0.48, "improved_accuracy": 0.98, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5671, "learning_rate": 0.07537601734150075, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[38.252599, 39.221692, 42.306248, 44.871410, 61.431560], [50.288373, 58.842113, 60.289603, 62.178525, 318.680044], [49.772418, 53.192154, 55.083417, 65.021624, 341.701976], [41.705939, 43.763812, 45.389279, 46.953797, 169.965029], [68.706397, 71.894393, 85.548725, 87.283121, 230.435538], [53.918314, 56.026800, 56.361064, 58.243556, 204.451199], [42.013579, 44.266073, 48.102718, 52.363801, 100.672962], [47.185805, 51.279073, 59.768731, 59.986353, 376.747111]]
### 2
fourier: [[23.396304, 24.133933, 24.522064, 26.330265, 32.232964], [67.646839, 71.273943, 73.700741, 81.310618, 217.032387], [81.042255, 81.573057, 82.190594, 84.003144, 298.685539], [38.698086, 38.845569, 40.850533, 47.125164, 296.339269], [50.710060, 51.298179, 51.877906, 52.609780, 173.922334], [195.381501, 197.588261, 201.333293, 203.506127, 823.718722], [59.966616, 60.229822, 62.318067, 62.588274, 285.334695], [59.293736, 60.689154, 61.391883, 62.568004, 313.573122]]
### 4
fourier: [[139.225486, 142.202475, 143.162640, 144.487390, 562.015411], [131.810311, 137.412358, 138.125567, 140.123921, 520.572174], [154.922608, 163.440119, 163.601408, 169.125851, 595.127889], [128.606322, 134.873009, 135.248245, 137.836110, 532.439991], [89.533191, 93.453921, 94.563223, 94.700325, 358.506974], [80.350456, 83.034075, 83.060901, 87.660685, 373.379208], [108.298971, 111.580377, 112.514851, 116.807517, 493.248519], [84.976295, 85.931022, 87.211225, 87.990832, 342.495432]]
### 6
fourier: [[1.298697, 1.471486, 1.556318, 1.695265, 36.503224], [82.806334, 85.316914, 86.196956, 90.450375, 335.551789], [311.728905, 324.446595, 327.768474, 340.572098, 1193.111530], [66.712956, 69.065661, 70.178875, 70.939342, 292.587719], [121.027256, 127.188111, 127.246658, 128.534970, 424.200395], [103.752326, 107.031681, 108.085518, 113.645969, 449.141838], [161.359988, 166.394143, 168.584924, 176.773580, 694.613265], [116.144513, 120.306780, 121.884600, 127.093796, 487.557268]]
### 8
fourier: [[3.743540, 3.930720, 3.952131, 4.039690, 27.287307], [142.266232, 144.461935, 146.360282, 154.900591, 612.178801], [209.454240, 215.201462, 217.592405, 228.294101, 780.902103], [285.516165, 292.033125, 295.502590, 311.072652, 1082.887222], [81.443301, 83.426298, 84.396109, 88.745040, 268.264403], [80.231439, 81.694165, 82.728400, 87.377944, 308.159631], [212.775832, 217.637844, 220.222542, 231.821851, 801.118100], [14.178119, 14.491161, 15.272952, 16.438020, 60.819281]]
### 10
fourier: [[161.627153, 164.083072, 166.085166, 175.613324, 623.115390], [17.909427, 17.950536, 18.186107, 19.352345, 88.581841], [461.748478, 465.990196, 471.501919, 500.568566, 1707.477211], [49.166807, 49.739451, 50.356222, 53.351789, 207.487278], [443.850496, 448.612419, 454.009508, 481.444491, 1641.130003], [88.285646, 89.159009, 90.207349, 95.748371, 458.201945], [48.411859, 48.526460, 48.924861, 52.346672, 196.347772], [84.059264, 85.803478, 86.883488, 91.546708, 355.422960]]
### 12
fourier: [[270.151980, 271.762728, 275.001670, 292.458758, 1012.038995], [274.840023, 276.426571, 279.685904, 297.527263, 1064.042152], [228.978600, 229.958772, 232.709994, 247.696577, 655.125607], [520.945137, 523.935166, 530.144872, 563.922862, 1938.489328], [446.631393, 449.201537, 454.529652, 483.479279, 1694.069627], [71.715135, 72.171731, 73.039118, 77.646843, 300.657242], [30.912576, 31.064672, 31.434660, 33.449834, 148.304813], [142.419645, 143.270789, 144.971028, 154.184134, 508.948459]]
### 14
fourier: [[451.669564, 463.308205, 472.280624, 495.667226, 1513.566728]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 7
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[38.252599, 39.221692, 42.306248, 44.871410, 61.431560], [50.288373, 58.842113, 60.289603, 62.178525, 318.680044], [49.772418, 53.192154, 55.083417, 65.021624, 341.701976], [41.705939, 43.763812, 45.389279, 46.953797, 169.965029], [68.706397, 71.894393, 85.548725, 87.283121, 230.435538], [53.918314, 56.026800, 56.361064, 58.243556, 204.451199], [42.013579, 44.266073, 48.102718, 52.363801, 100.672962], [47.185805, 51.279073, 59.768731, 59.986353, 376.747111]]
### 2
fourier: [[23.396304, 24.133933, 24.522064, 26.330265, 32.232964], [67.646839, 71.273943, 73.700741, 81.310618, 217.032387], [81.042255, 81.573057, 82.190594, 84.003144, 298.685539], [38.698086, 38.845569, 40.850533, 47.125164, 296.339269], [50.710060, 51.298179, 51.877906, 52.609780, 173.922334], [195.381501, 197.588261, 201.333293, 203.506127, 823.718722], [59.966616, 60.229822, 62.318067, 62.588274, 285.334695], [59.293736, 60.689154, 61.391883, 62.568004, 313.573122]]
### 4
fourier: [[139.225486, 142.202475, 143.162640, 144.487390, 562.015411], [131.810311, 137.412358, 138.125567, 140.123921, 520.572174], [154.922608, 163.440119, 163.601408, 169.125851, 595.127889], [128.606322, 134.873009, 135.248245, 137.836110, 532.439991], [89.533191, 93.453921, 94.563223, 94.700325, 358.506974], [80.350456, 83.034075, 83.060901, 87.660685, 373.379208], [108.298971, 111.580377, 112.514851, 116.807517, 493.248519], [84.976295, 85.931022, 87.211225, 87.990832, 342.495432]]
### 6
fourier: [[1.298697, 1.471486, 1.556318, 1.695265, 36.503224], [82.806334, 85.316914, 86.196956, 90.450375, 335.551789], [311.728905, 324.446595, 327.768474, 340.572098, 1193.111530], [66.712956, 69.065661, 70.178875, 70.939342, 292.587719], [121.027256, 127.188111, 127.246658, 128.534970, 424.200395], [103.752326, 107.031681, 108.085518, 113.645969, 449.141838], [161.359988, 166.394143, 168.584924, 176.773580, 694.613265], [116.144513, 120.306780, 121.884600, 127.093796, 487.557268]]
### 8
fourier: [[3.743540, 3.930720, 3.952131, 4.039690, 27.287307], [142.266232, 144.461935, 146.360282, 154.900591, 612.178801], [209.454240, 215.201462, 217.592405, 228.294101, 780.902103], [285.516165, 292.033125, 295.502590, 311.072652, 1082.887222], [81.443301, 83.426298, 84.396109, 88.745040, 268.264403], [80.231439, 81.694165, 82.728400, 87.377944, 308.159631], [212.775832, 217.637844, 220.222542, 231.821851, 801.118100], [14.178119, 14.491161, 15.272952, 16.438020, 60.819281]]
### 10
fourier: [[161.627153, 164.083072, 166.085166, 175.613324, 623.115390], [17.909427, 17.950536, 18.186107, 19.352345, 88.581841], [461.748478, 465.990196, 471.501919, 500.568566, 1707.477211], [49.166807, 49.739451, 50.356222, 53.351789, 207.487278], [443.850496, 448.612419, 454.009508, 481.444491, 1641.130003], [88.285646, 89.159009, 90.207349, 95.748371, 458.201945], [48.411859, 48.526460, 48.924861, 52.346672, 196.347772], [84.059264, 85.803478, 86.883488, 91.546708, 355.422960]]
### 12
fourier: [[270.151980, 271.762728, 275.001670, 292.458758, 1012.038995], [274.840023, 276.426571, 279.685904, 297.527263, 1064.042152], [228.978600, 229.958772, 232.709994, 247.696577, 655.125607], [520.945137, 523.935166, 530.144872, 563.922862, 1938.489328], [446.631393, 449.201537, 454.529652, 483.479279, 1694.069627], [71.715135, 72.171731, 73.039118, 77.646843, 300.657242], [30.912576, 31.064672, 31.434660, 33.449834, 148.304813], [142.419645, 143.270789, 144.971028, 154.184134, 508.948459]]
### 14
fourier: [[451.669564, 463.308205, 472.280624, 495.667226, 1513.566728]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 7, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.128726, 0.045224, 0.019092, -0.185394, 0.156973], [1.094849, 0.49744, 0.450228, 0.526102, -0.16407], [1.003134, 0.4354, 0.321428, 0.485995, 0.345827], [1.228596, 0.077617, -0.264729, 0.501485, 0.023416], [1.728711, -0.118822, 0.760815, -0.34129, -0.061227], [1.205569, 0.986467, -0.047988, -0.080812, -0.00343], [0.984037, 0.599014, 0.17191, -0.158853, -0.580407], [-1.016348, -0.150334, -0.107814, -0.992303, -0.126297]], "network.0.bias": [0.80374, -0.594355, -0.385187, -0.333154, -0.156238, -0.748378, -0.500141, -0.138433], "network.2.weight": [[-0.292157, 0.108286, -0.314559, 0.247314, 0.084769, -0.022035, 0.450047, -0.030981], [-0.159074, 0.178828, 0.029237, -0.383328, 0.659669, 0.509438, 0.069898, 0.275701], [-0.189471, 0.373618, 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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6856444478034973, "train_acc": 0.57, "val_loss": 0.7009167671203613, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6578018963336945, "train_acc": 0.57, "val_loss": 0.629707396030426, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6556245386600494, "train_acc": 0.545, "val_loss": 0.5650978684425354, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5486504435539246, "train_acc": 0.765, "val_loss": 0.44608229398727417, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.45065049827098846, "train_acc": 0.785, "val_loss": 0.4708247482776642, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3957531154155731, "train_acc": 0.845, "val_loss": 0.35150060057640076, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.30552859604358673, "train_acc": 0.84, "val_loss": 0.3134823739528656, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.29372502863407135, "train_acc": 0.88, "val_loss": 0.20448023080825806, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2787175923585892, "train_acc": 0.88, "val_loss": 0.1528252214193344, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.16495800018310547, "train_acc": 0.945, "val_loss": 0.2224462628364563, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.22501879930496216, "train_acc": 0.915, "val_loss": 0.09364969283342361, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3442896865308285, "train_acc": 0.92, "val_loss": 0.09167204797267914, "val_acc": 0.98}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7009167671203613, "final_val_loss": 0.629707396030426, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5650978684425354, "final_val_loss": 0.09167204797267914, "initial_val_acc": 0.82, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 11}, "improvement": 0.5, "first_improvement_epoch": 1}}
|
96
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.48, "improved_accuracy": 0.98, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4544, "learning_rate": 0.04678194613108013, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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## Activation Signature
### 0
fourier: [[28.638540, 35.800632, 37.702187, 39.674535, 133.508942], [43.702371, 45.077086, 45.203055, 46.582185, 163.519718], [34.610638, 34.756362, 36.113095, 43.745800, 292.386368], [22.548637, 24.019233, 24.932371, 28.907423, 253.204684], [39.543881, 39.600529, 40.932906, 46.469592, 183.253412], [10.250156, 10.461179, 11.173753, 13.360548, 13.406705], [30.608126, 32.147963, 38.504192, 38.596819, 101.913912], [11.948025, 15.098018, 16.317702, 18.859918, 77.602430], [18.899169, 19.087754, 19.974313, 21.704164, 64.924862], [19.017423, 19.475668, 26.540132, 28.337003, 58.232451], [33.438405, 33.857850, 35.250686, 39.477671, 113.136051], [41.343551, 43.038906, 44.597126, 49.469215, 219.214269]]
### 2
fourier: [[106.430862, 108.143296, 109.965045, 111.783890, 482.586449], [104.556466, 108.076731, 108.552140, 108.852545, 498.376974], [26.770412, 27.300820, 27.375084, 28.326753, 60.333014], [34.026061, 34.132481, 34.453135, 35.820513, 122.977404], [34.532070, 36.261982, 36.724120, 38.421613, 180.900909], [71.400719, 72.932442, 73.104611, 74.009118, 368.436101], [90.333215, 92.978794, 93.392568, 95.195888, 422.335085], [38.570535, 41.174469, 41.780283, 41.808866, 205.851922], [100.735515, 103.183297, 103.312736, 106.120271, 468.585104], [30.729976, 31.309950, 31.431536, 32.471987, 81.269825], [24.475197, 25.256597, 26.140317, 29.277003, 135.672335], [85.183000, 86.158511, 87.165514, 88.467876, 400.331978]]
### 4
fourier: [[103.683491, 104.458000, 106.516181, 107.824196, 496.312165], [152.568317, 153.352693, 156.709320, 158.915115, 747.436548], [152.637453, 153.637379, 156.633252, 158.516306, 737.142324], [120.353980, 120.545507, 122.995505, 124.382896, 593.557806], [182.454110, 184.056358, 184.927053, 188.680939, 771.170334], [64.678161, 65.468380, 65.867341, 66.882742, 309.136572], [130.979720, 131.542070, 134.202872, 136.213557, 607.115738], [16.281376, 16.619498, 16.827902, 17.498609, 113.687152], [70.611158, 71.746016, 72.731501, 73.175590, 365.706831], [118.062641, 120.176882, 120.913978, 123.690863, 525.171792], [148.859577, 150.594628, 150.751474, 153.881907, 627.813453], [104.132735, 104.945122, 104.989538, 107.508578, 463.736882]]
### 6
fourier: [[19.999970, 20.115636, 20.412023, 20.424694, 102.034305], [41.652532, 42.063523, 42.356981, 42.705021, 163.780992], [129.132350, 131.567145, 132.009873, 132.107973, 579.074653], [137.925564, 140.150256, 140.764291, 141.175323, 568.309722], [146.953632, 149.472209, 150.089035, 150.418445, 680.544841], [88.856844, 90.451938, 90.792882, 90.915464, 376.345077], [14.394516, 14.533954, 14.718837, 14.871017, 35.061649], [1.265535, 1.273553, 1.274748, 1.286459, 32.606564], [90.788700, 92.310729, 92.714500, 92.944704, 416.580647], [141.531494, 143.740456, 144.366123, 144.831120, 587.216842], [11.540805, 11.729688, 11.758132, 11.795976, 89.285315], [16.449892, 16.743588, 16.867281, 16.902333, 91.986012]]
### 8
fourier: [[122.909322, 124.667043, 125.411843, 125.552848, 496.152209], [15.967800, 16.249096, 16.331436, 16.342496, 33.522382], [202.624361, 206.452962, 207.277447, 207.548394, 831.487111], [11.784019, 11.948372, 12.189881, 12.219311, 17.149422], [85.167048, 87.035863, 87.185897, 87.393331, 338.512487], [2.289888, 2.394131, 2.464232, 2.713202, 8.290454], [43.598837, 43.751619, 44.007162, 44.212696, 118.188412], [105.794181, 107.466144, 107.884500, 108.166548, 443.021828], [57.398661, 58.478562, 58.721320, 58.797780, 256.081764], [40.547914, 41.098046, 41.343643, 41.406158, 200.850513], [60.067736, 60.520995, 60.986444, 61.118199, 258.918838], [10.132595, 10.158861, 10.471374, 10.889887, 23.089375]]
### 10
fourier: [[110.366199, 112.066793, 112.748271, 112.917720, 401.382384], [139.383646, 142.376020, 142.961519, 143.191110, 529.857334], [6.783849, 6.802056, 7.086052, 7.389061, 50.505093], [55.455114, 55.543267, 55.866843, 56.218392, 116.293427], [21.743582, 22.082784, 22.181005, 22.194041, 127.039030], [105.971105, 107.387607, 108.232590, 108.414771, 392.104383], [122.314186, 123.562133, 124.523430, 124.637334, 471.962899], [55.752086, 56.869198, 57.052767, 57.382212, 283.065423], [75.988919, 76.175751, 77.123673, 78.553916, 183.696112], [1.387717, 1.404141, 1.430012, 1.502910, 50.321835], [30.728694, 30.755676, 31.373281, 33.034390, 190.966071], [116.024828, 118.219918, 118.750854, 119.305747, 535.798521]]
### 12
fourier: [[211.019410, 211.442752, 211.878640, 214.591945, 713.140139]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
fourier: [[28.638540, 35.800632, 37.702187, 39.674535, 133.508942], [43.702371, 45.077086, 45.203055, 46.582185, 163.519718], [34.610638, 34.756362, 36.113095, 43.745800, 292.386368], [22.548637, 24.019233, 24.932371, 28.907423, 253.204684], [39.543881, 39.600529, 40.932906, 46.469592, 183.253412], [10.250156, 10.461179, 11.173753, 13.360548, 13.406705], [30.608126, 32.147963, 38.504192, 38.596819, 101.913912], [11.948025, 15.098018, 16.317702, 18.859918, 77.602430], [18.899169, 19.087754, 19.974313, 21.704164, 64.924862], [19.017423, 19.475668, 26.540132, 28.337003, 58.232451], [33.438405, 33.857850, 35.250686, 39.477671, 113.136051], [41.343551, 43.038906, 44.597126, 49.469215, 219.214269]]
### 2
fourier: [[106.430862, 108.143296, 109.965045, 111.783890, 482.586449], [104.556466, 108.076731, 108.552140, 108.852545, 498.376974], [26.770412, 27.300820, 27.375084, 28.326753, 60.333014], [34.026061, 34.132481, 34.453135, 35.820513, 122.977404], [34.532070, 36.261982, 36.724120, 38.421613, 180.900909], [71.400719, 72.932442, 73.104611, 74.009118, 368.436101], [90.333215, 92.978794, 93.392568, 95.195888, 422.335085], [38.570535, 41.174469, 41.780283, 41.808866, 205.851922], [100.735515, 103.183297, 103.312736, 106.120271, 468.585104], [30.729976, 31.309950, 31.431536, 32.471987, 81.269825], [24.475197, 25.256597, 26.140317, 29.277003, 135.672335], [85.183000, 86.158511, 87.165514, 88.467876, 400.331978]]
### 4
fourier: [[103.683491, 104.458000, 106.516181, 107.824196, 496.312165], [152.568317, 153.352693, 156.709320, 158.915115, 747.436548], [152.637453, 153.637379, 156.633252, 158.516306, 737.142324], [120.353980, 120.545507, 122.995505, 124.382896, 593.557806], [182.454110, 184.056358, 184.927053, 188.680939, 771.170334], [64.678161, 65.468380, 65.867341, 66.882742, 309.136572], [130.979720, 131.542070, 134.202872, 136.213557, 607.115738], [16.281376, 16.619498, 16.827902, 17.498609, 113.687152], [70.611158, 71.746016, 72.731501, 73.175590, 365.706831], [118.062641, 120.176882, 120.913978, 123.690863, 525.171792], [148.859577, 150.594628, 150.751474, 153.881907, 627.813453], [104.132735, 104.945122, 104.989538, 107.508578, 463.736882]]
### 6
fourier: [[19.999970, 20.115636, 20.412023, 20.424694, 102.034305], [41.652532, 42.063523, 42.356981, 42.705021, 163.780992], [129.132350, 131.567145, 132.009873, 132.107973, 579.074653], [137.925564, 140.150256, 140.764291, 141.175323, 568.309722], [146.953632, 149.472209, 150.089035, 150.418445, 680.544841], [88.856844, 90.451938, 90.792882, 90.915464, 376.345077], [14.394516, 14.533954, 14.718837, 14.871017, 35.061649], [1.265535, 1.273553, 1.274748, 1.286459, 32.606564], [90.788700, 92.310729, 92.714500, 92.944704, 416.580647], [141.531494, 143.740456, 144.366123, 144.831120, 587.216842], [11.540805, 11.729688, 11.758132, 11.795976, 89.285315], [16.449892, 16.743588, 16.867281, 16.902333, 91.986012]]
### 8
fourier: [[122.909322, 124.667043, 125.411843, 125.552848, 496.152209], [15.967800, 16.249096, 16.331436, 16.342496, 33.522382], [202.624361, 206.452962, 207.277447, 207.548394, 831.487111], [11.784019, 11.948372, 12.189881, 12.219311, 17.149422], [85.167048, 87.035863, 87.185897, 87.393331, 338.512487], [2.289888, 2.394131, 2.464232, 2.713202, 8.290454], [43.598837, 43.751619, 44.007162, 44.212696, 118.188412], [105.794181, 107.466144, 107.884500, 108.166548, 443.021828], [57.398661, 58.478562, 58.721320, 58.797780, 256.081764], [40.547914, 41.098046, 41.343643, 41.406158, 200.850513], [60.067736, 60.520995, 60.986444, 61.118199, 258.918838], [10.132595, 10.158861, 10.471374, 10.889887, 23.089375]]
### 10
fourier: [[110.366199, 112.066793, 112.748271, 112.917720, 401.382384], [139.383646, 142.376020, 142.961519, 143.191110, 529.857334], [6.783849, 6.802056, 7.086052, 7.389061, 50.505093], [55.455114, 55.543267, 55.866843, 56.218392, 116.293427], [21.743582, 22.082784, 22.181005, 22.194041, 127.039030], [105.971105, 107.387607, 108.232590, 108.414771, 392.104383], [122.314186, 123.562133, 124.523430, 124.637334, 471.962899], [55.752086, 56.869198, 57.052767, 57.382212, 283.065423], [75.988919, 76.175751, 77.123673, 78.553916, 183.696112], [1.387717, 1.404141, 1.430012, 1.502910, 50.321835], [30.728694, 30.755676, 31.373281, 33.034390, 190.966071], [116.024828, 118.219918, 118.750854, 119.305747, 535.798521]]
### 12
fourier: [[211.019410, 211.442752, 211.878640, 214.591945, 713.140139]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7080104649066925, "train_acc": 0.395, "val_loss": 0.6954538226127625, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6845534443855286, "train_acc": 0.565, "val_loss": 0.7023223638534546, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6625826954841614, "train_acc": 0.565, "val_loss": 0.7046161890029907, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6074299514293671, "train_acc": 0.565, "val_loss": 0.5582258701324463, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5780230760574341, "train_acc": 0.55, "val_loss": 0.5020838379859924, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5135532021522522, "train_acc": 0.82, "val_loss": 0.3635850250720978, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.39535410702228546, "train_acc": 0.8, "val_loss": 0.262427419424057, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.34383702278137207, "train_acc": 0.805, "val_loss": 0.21244929730892181, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3429037183523178, "train_acc": 0.88, "val_loss": 0.17281346023082733, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.29065948724746704, "train_acc": 0.895, "val_loss": 0.30564427375793457, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.2909410893917084, "train_acc": 0.875, "val_loss": 0.14890749752521515, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.24418146163225174, "train_acc": 0.915, "val_loss": 0.15141193568706512, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.21933060884475708, "train_acc": 0.925, "val_loss": 0.13068197667598724, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.1798655390739441, "train_acc": 0.94, "val_loss": 0.2022736668586731, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6954538226127625, "final_val_loss": 0.5582258701324463, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5020838379859924, "final_val_loss": 0.2022736668586731, "initial_val_acc": 0.9, "final_val_acc": 0.92, "best_val_acc": 0.98, "best_epoch": 10}, "improvement": 0.5, "first_improvement_epoch": 3}}
|
97
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.58, "improved_accuracy": 0.92, "improvement": 0.3400000000000001, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 9, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5234, "learning_rate": 0.05054527604583981, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 9
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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"network.2.weight": [
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## Activation Signature
### 0
fourier: [[27.119709, 30.102801, 31.253347, 32.744831, 106.963339], [26.310758, 27.443699, 27.778158, 29.332269, 41.009687], [17.178822, 17.259556, 20.589290, 27.830430, 61.751927], [26.407547, 26.639361, 27.542474, 29.557234, 52.960317], [21.243285, 21.731498, 23.944819, 24.253957, 185.712780], [24.186925, 24.362889, 25.757113, 26.821432, 39.719225], [23.162041, 24.958840, 27.350883, 30.015816, 38.675811], [28.010795, 28.077514, 30.633092, 37.702333, 118.379007], [18.456497, 19.036568, 19.854975, 20.504746, 72.225059]]
### 2
fourier: [[11.102386, 12.064199, 12.483335, 15.974505, 40.086903], [9.791832, 10.346371, 10.937522, 11.941940, 116.478206], [26.226266, 27.627033, 28.441786, 34.022902, 65.366836], [10.916149, 11.578079, 12.853164, 13.163044, 50.141028], [4.642849, 4.650040, 5.308275, 6.600416, 55.766357], [16.094835, 18.792531, 18.878189, 21.653412, 50.386011], [26.022585, 26.959790, 30.520124, 37.171097, 102.924529], [14.212277, 14.414843, 18.743080, 19.750033, 131.812569], [20.289190, 22.379356, 25.513241, 29.588068, 37.186307]]
### 4
fourier: [[13.941672, 15.189058, 16.779236, 16.825733, 20.081692], [27.053044, 28.719620, 28.937050, 30.477190, 136.999820], [10.554513, 11.877963, 12.477700, 15.336829, 83.582324], [17.997708, 19.385893, 20.537218, 22.735737, 55.188416], [19.219358, 20.205826, 20.944395, 22.266430, 91.690001], [2.738223, 2.792092, 3.739600, 4.180147, 82.354307], [11.249640, 11.820767, 12.692280, 12.981938, 87.303251], [10.408718, 12.502361, 15.281898, 16.646658, 137.365328], [22.922011, 23.660705, 24.017962, 25.664971, 160.009394]]
### 6
fourier: [[16.216731, 16.757639, 16.935695, 17.569502, 20.304083], [11.335642, 11.776699, 12.083569, 12.125870, 13.892489], [6.976002, 8.086731, 8.230942, 10.937767, 82.394728], [5.561075, 5.565041, 6.234605, 8.040076, 39.440035], [14.582686, 15.196530, 15.523236, 15.909042, 172.239442], [43.323010, 46.862982, 48.721799, 49.824219, 252.856594], [3.635855, 3.647729, 4.184861, 4.338065, 48.914436], [27.768210, 29.403826, 29.602318, 30.279184, 170.370666], [32.214249, 34.128355, 34.543756, 34.935422, 156.761984]]
### 8
fourier: [[6.085945, 6.912943, 6.913781, 7.053668, 96.182901], [23.770248, 25.494260, 27.620596, 27.809241, 129.373899], [3.354721, 3.804700, 3.978708, 4.306114, 30.379935], [44.094448, 47.385953, 50.389093, 51.012599, 250.043949], [8.302432, 8.919161, 9.363057, 9.471309, 17.679784], [48.890224, 51.579905, 53.580232, 54.575728, 261.415393], [17.598224, 18.754138, 18.966286, 19.462970, 144.644660], [13.321247, 14.090265, 14.149006, 14.185977, 104.892299], [37.076848, 38.704576, 42.406681, 42.587844, 189.050329]]
### 10
fourier: [[47.381664, 48.382212, 51.014821, 51.806788, 266.060041], [72.396764, 74.168840, 77.796432, 79.198181, 389.835405], [16.116957, 16.821543, 17.923751, 18.131894, 113.776519], [9.982176, 10.581812, 11.124053, 11.315661, 90.108664], [61.498276, 63.131298, 66.420481, 67.434445, 360.618483], [77.971258, 79.730248, 83.945381, 85.282601, 449.593116], [16.761439, 17.047663, 17.786695, 18.150765, 76.003858], [56.951621, 58.578312, 61.445155, 62.394290, 318.514226], [45.194422, 46.311034, 48.542351, 49.314504, 251.824593]]
### 12
fourier: [[99.672584, 101.914648, 106.942476, 108.767028, 549.759821], [49.022991, 50.251199, 52.840847, 53.690702, 295.355529], [43.332777, 44.451997, 46.695451, 47.437114, 253.505710], [131.772327, 134.928696, 141.906920, 144.126893, 731.393644], [26.679344, 27.265559, 28.646895, 29.131990, 163.466090], [66.354681, 67.755873, 71.107036, 72.300170, 392.522183], [104.191042, 106.531380, 112.000772, 113.818643, 583.518612], [74.099292, 75.705636, 79.485751, 80.849217, 406.694043], [154.138667, 157.647108, 165.636275, 168.368386, 890.408052]]
### 14
fourier: [[12.789555, 13.060410, 13.694360, 13.950856, 101.336320], [16.172411, 16.562826, 17.431860, 17.707514, 98.180140], [23.273733, 23.611123, 24.706656, 25.166099, 132.734200], [10.777258, 11.014690, 11.502280, 11.748244, 85.888836], [94.610506, 96.619768, 101.462093, 103.139438, 550.746812], [142.919967, 145.812123, 153.029321, 155.638380, 809.119336], [165.588781, 169.167441, 177.662315, 180.604205, 947.318895], [65.202178, 66.600455, 69.906021, 71.076991, 399.313307], [82.349458, 84.098792, 88.271420, 89.774729, 486.050033]]
### 16
fourier: [[60.581969, 61.804730, 64.873350, 65.971196, 321.358860]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 9
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[27.119709, 30.102801, 31.253347, 32.744831, 106.963339], [26.310758, 27.443699, 27.778158, 29.332269, 41.009687], [17.178822, 17.259556, 20.589290, 27.830430, 61.751927], [26.407547, 26.639361, 27.542474, 29.557234, 52.960317], [21.243285, 21.731498, 23.944819, 24.253957, 185.712780], [24.186925, 24.362889, 25.757113, 26.821432, 39.719225], [23.162041, 24.958840, 27.350883, 30.015816, 38.675811], [28.010795, 28.077514, 30.633092, 37.702333, 118.379007], [18.456497, 19.036568, 19.854975, 20.504746, 72.225059]]
### 2
fourier: [[11.102386, 12.064199, 12.483335, 15.974505, 40.086903], [9.791832, 10.346371, 10.937522, 11.941940, 116.478206], [26.226266, 27.627033, 28.441786, 34.022902, 65.366836], [10.916149, 11.578079, 12.853164, 13.163044, 50.141028], [4.642849, 4.650040, 5.308275, 6.600416, 55.766357], [16.094835, 18.792531, 18.878189, 21.653412, 50.386011], [26.022585, 26.959790, 30.520124, 37.171097, 102.924529], [14.212277, 14.414843, 18.743080, 19.750033, 131.812569], [20.289190, 22.379356, 25.513241, 29.588068, 37.186307]]
### 4
fourier: [[13.941672, 15.189058, 16.779236, 16.825733, 20.081692], [27.053044, 28.719620, 28.937050, 30.477190, 136.999820], [10.554513, 11.877963, 12.477700, 15.336829, 83.582324], [17.997708, 19.385893, 20.537218, 22.735737, 55.188416], [19.219358, 20.205826, 20.944395, 22.266430, 91.690001], [2.738223, 2.792092, 3.739600, 4.180147, 82.354307], [11.249640, 11.820767, 12.692280, 12.981938, 87.303251], [10.408718, 12.502361, 15.281898, 16.646658, 137.365328], [22.922011, 23.660705, 24.017962, 25.664971, 160.009394]]
### 6
fourier: [[16.216731, 16.757639, 16.935695, 17.569502, 20.304083], [11.335642, 11.776699, 12.083569, 12.125870, 13.892489], [6.976002, 8.086731, 8.230942, 10.937767, 82.394728], [5.561075, 5.565041, 6.234605, 8.040076, 39.440035], [14.582686, 15.196530, 15.523236, 15.909042, 172.239442], [43.323010, 46.862982, 48.721799, 49.824219, 252.856594], [3.635855, 3.647729, 4.184861, 4.338065, 48.914436], [27.768210, 29.403826, 29.602318, 30.279184, 170.370666], [32.214249, 34.128355, 34.543756, 34.935422, 156.761984]]
### 8
fourier: [[6.085945, 6.912943, 6.913781, 7.053668, 96.182901], [23.770248, 25.494260, 27.620596, 27.809241, 129.373899], [3.354721, 3.804700, 3.978708, 4.306114, 30.379935], [44.094448, 47.385953, 50.389093, 51.012599, 250.043949], [8.302432, 8.919161, 9.363057, 9.471309, 17.679784], [48.890224, 51.579905, 53.580232, 54.575728, 261.415393], [17.598224, 18.754138, 18.966286, 19.462970, 144.644660], [13.321247, 14.090265, 14.149006, 14.185977, 104.892299], [37.076848, 38.704576, 42.406681, 42.587844, 189.050329]]
### 10
fourier: [[47.381664, 48.382212, 51.014821, 51.806788, 266.060041], [72.396764, 74.168840, 77.796432, 79.198181, 389.835405], [16.116957, 16.821543, 17.923751, 18.131894, 113.776519], [9.982176, 10.581812, 11.124053, 11.315661, 90.108664], [61.498276, 63.131298, 66.420481, 67.434445, 360.618483], [77.971258, 79.730248, 83.945381, 85.282601, 449.593116], [16.761439, 17.047663, 17.786695, 18.150765, 76.003858], [56.951621, 58.578312, 61.445155, 62.394290, 318.514226], [45.194422, 46.311034, 48.542351, 49.314504, 251.824593]]
### 12
fourier: [[99.672584, 101.914648, 106.942476, 108.767028, 549.759821], [49.022991, 50.251199, 52.840847, 53.690702, 295.355529], [43.332777, 44.451997, 46.695451, 47.437114, 253.505710], [131.772327, 134.928696, 141.906920, 144.126893, 731.393644], [26.679344, 27.265559, 28.646895, 29.131990, 163.466090], [66.354681, 67.755873, 71.107036, 72.300170, 392.522183], [104.191042, 106.531380, 112.000772, 113.818643, 583.518612], [74.099292, 75.705636, 79.485751, 80.849217, 406.694043], [154.138667, 157.647108, 165.636275, 168.368386, 890.408052]]
### 14
fourier: [[12.789555, 13.060410, 13.694360, 13.950856, 101.336320], [16.172411, 16.562826, 17.431860, 17.707514, 98.180140], [23.273733, 23.611123, 24.706656, 25.166099, 132.734200], [10.777258, 11.014690, 11.502280, 11.748244, 85.888836], [94.610506, 96.619768, 101.462093, 103.139438, 550.746812], [142.919967, 145.812123, 153.029321, 155.638380, 809.119336], [165.588781, 169.167441, 177.662315, 180.604205, 947.318895], [65.202178, 66.600455, 69.906021, 71.076991, 399.313307], [82.349458, 84.098792, 88.271420, 89.774729, 486.050033]]
### 16
fourier: [[60.581969, 61.804730, 64.873350, 65.971196, 321.358860]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6895670294761658, "train_acc": 0.56, "val_loss": 0.6800517439842224, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6913341283798218, "train_acc": 0.56, "val_loss": 0.6784535050392151, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6859410107135773, "train_acc": 0.56, "val_loss": 0.6706326007843018, "val_acc": 0.58}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6646398901939392, "train_acc": 0.56, "val_loss": 0.6161023378372192, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6255007982254028, "train_acc": 0.48, "val_loss": 0.4203830659389496, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.7235142588615417, "train_acc": 0.6, "val_loss": 0.3280532956123352, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4794607013463974, "train_acc": 0.85, "val_loss": 0.46305274963378906, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4873601794242859, "train_acc": 0.785, "val_loss": 0.48469027876853943, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5179088413715363, "train_acc": 0.755, "val_loss": 0.5122168064117432, "val_acc": 0.74}], "summary": {"total_epochs": 9, "degraded_epochs": 4, "improved_epochs": 5, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6800517439842224, "final_val_loss": 0.6161023378372192, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.4203830659389496, "final_val_loss": 0.5122168064117432, "initial_val_acc": 0.58, "final_val_acc": 0.74, "best_val_acc": 0.92, "best_epoch": 5}, "improvement": 0.3400000000000001, "first_improvement_epoch": 3}}
|
98
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.48, "improved_accuracy": 0.82, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 12, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8497, "learning_rate": 0.029074184699055018, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[20.278857, 20.445683, 22.417650, 25.452018, 133.336307], [22.852480, 26.526923, 30.241149, 31.843997, 126.552344], [19.035350, 22.875666, 23.310429, 24.124637, 25.108270], [25.274024, 25.693778, 25.761880, 29.913875, 74.933318], [28.409455, 31.903717, 33.238079, 33.976976, 157.853805], [25.489290, 26.415237, 26.505160, 27.794166, 226.165593], [13.211697, 13.686167, 13.898750, 14.124417, 14.293396], [16.955000, 17.183980, 17.184121, 19.314086, 21.146200], [22.914742, 22.996635, 23.134579, 27.968416, 204.154402], [9.383247, 10.257563, 10.275700, 15.676950, 30.760995], [14.822278, 15.406883, 16.749494, 17.033316, 20.057122], [26.450078, 27.381755, 27.447325, 28.488363, 177.994320]]
### 2
fourier: [[26.601968, 26.824946, 27.669198, 33.567026, 281.344205], [15.168301, 15.561190, 16.167085, 20.757917, 112.322688], [24.613886, 25.669258, 28.670695, 32.619889, 214.272579], [15.797549, 16.195726, 17.769083, 20.872381, 54.116136], [21.557648, 23.751865, 24.895817, 26.463206, 134.682191], [15.091306, 16.173844, 16.338971, 17.389264, 131.632401], [13.247133, 13.991412, 16.405809, 16.616022, 111.092744], [12.477860, 12.960626, 14.279181, 16.279371, 39.968108], [17.710228, 17.958415, 18.939049, 22.438475, 167.631500], [13.548593, 13.590803, 13.788251, 14.279847, 109.777987], [12.290315, 13.345845, 13.554221, 14.833626, 92.377642], [18.859441, 19.344818, 20.118913, 23.525494, 54.986719]]
### 4
fourier: [[33.235464, 33.862400, 36.340678, 39.299214, 187.405078], [5.564465, 6.370729, 6.730516, 7.320859, 50.870150], [20.348826, 21.323081, 21.338404, 24.539085, 90.269191], [19.279860, 19.752421, 21.003718, 22.475593, 128.514924], [27.350308, 28.166332, 28.894609, 33.113991, 120.431731], [8.503103, 8.791621, 9.899377, 11.670630, 88.034705], [7.951467, 8.137780, 8.789691, 10.822239, 64.970955], [15.256299, 16.624063, 17.147849, 18.148890, 103.274377], [12.720672, 13.811990, 14.084878, 14.616193, 127.210548], [23.404480, 24.365344, 27.615430, 28.555466, 195.506817], [19.079314, 20.942954, 20.978820, 23.967719, 180.469325], [21.783452, 24.573814, 27.489831, 27.514581, 184.195996]]
### 6
fourier: [[25.835564, 26.132305, 27.223580, 30.972299, 252.154024], [36.344227, 36.769030, 36.892082, 42.298960, 100.256515], [33.200933, 34.749533, 39.603525, 41.049347, 268.699225], [23.211111, 24.483545, 24.697081, 28.243054, 79.748067], [6.659996, 6.820023, 7.393139, 8.832067, 49.674278], [19.517579, 20.159221, 20.303672, 26.638335, 63.098485], [23.126265, 28.086408, 29.187429, 30.223113, 161.619440], [14.251864, 14.933043, 16.552234, 16.865762, 58.138671], [20.164259, 21.269424, 23.732904, 24.921743, 31.565026], [10.926262, 12.062192, 12.188904, 15.938897, 26.295955], [44.142458, 47.959960, 47.964100, 55.216454, 199.313606], [13.225283, 15.994108, 16.216719, 20.034596, 72.990663]]
### 8
fourier: [[31.456795, 32.152787, 34.972848, 36.310938, 38.652621], [20.052918, 20.372179, 20.930383, 22.198377, 28.112511], [17.252076, 22.078687, 22.180647, 24.458775, 24.774100], [5.834936, 5.869817, 6.020702, 8.206021, 37.587475], [23.372161, 24.259423, 25.528711, 27.842146, 57.582107], [24.856679, 30.315320, 31.580400, 34.978122, 130.113374], [34.157395, 34.509704, 35.142373, 45.245184, 100.485396], [30.961849, 32.417611, 32.758064, 36.747431, 41.639808], [9.933869, 10.230254, 11.412014, 12.403819, 12.561714], [35.720019, 35.931123, 38.346024, 41.919773, 67.053523], [50.404987, 52.655783, 53.323203, 61.122926, 215.319798], [35.677492, 36.091526, 38.114204, 42.139817, 69.458798]]
### 10
fourier: [[43.346703, 52.561888, 54.100909, 57.538554, 60.144284], [19.953205, 20.662447, 21.351702, 22.928136, 36.739407], [27.625874, 28.394873, 28.482678, 29.284169, 32.688671], [36.965866, 43.923813, 44.713323, 50.411406, 50.577531], [21.586541, 22.566251, 23.332850, 26.529947, 28.826195], [34.667137, 35.366289, 35.697251, 39.455432, 62.897754], [41.452740, 43.269034, 46.486241, 50.295623, 127.349033], [45.792149, 46.944081, 48.656486, 52.802576, 87.717069], [26.388364, 26.399646, 30.276598, 33.078353, 58.480056], [42.969633, 43.755235, 45.525593, 49.382188, 84.419342], [44.108052, 44.982500, 45.895305, 49.916518, 94.825820], [44.582661, 46.366416, 47.375448, 54.515796, 59.334541]]
### 12
fourier: [[7.639108, 7.797692, 8.608401, 9.057688, 43.690435], [28.338195, 29.855978, 29.925282, 32.357515, 49.469169], [19.631155, 20.821173, 20.995585, 23.485063, 23.674890], [17.517802, 18.372538, 18.749228, 21.707056, 22.088513], [29.603296, 32.099884, 33.576118, 34.713565, 36.667513], [45.502922, 53.807331, 55.273704, 60.940905, 61.087881], [20.249138, 21.383934, 22.604236, 23.071716, 59.822446], [19.857374, 22.014757, 22.719307, 26.058948, 39.526469], [43.898154, 47.831439, 49.078465, 55.250294, 56.817413], [26.106611, 30.489125, 32.091879, 32.482775, 34.607428], [49.028331, 49.746528, 52.403436, 56.118810, 108.820311], [23.362356, 25.477745, 26.300394, 29.203150, 29.453614]]
### 14
fourier: [[24.777190, 25.383561, 27.069702, 28.799768, 70.876147], [10.580918, 10.636693, 11.217735, 11.452332, 80.517040], [23.649623, 23.807018, 24.799471, 26.414733, 57.413698], [7.341049, 7.759563, 8.234600, 8.599008, 20.957034], [21.472222, 23.398923, 24.486117, 28.382968, 61.184780], [13.570586, 15.826835, 16.101870, 17.651350, 18.311465], [25.634733, 26.768558, 26.805802, 30.544579, 33.144501], [20.116415, 22.107226, 22.830347, 25.395215, 26.150725], [38.281700, 40.215960, 42.695625, 43.329128, 44.933850], [10.915791, 11.615521, 12.357440, 13.628979, 47.838623], [34.899181, 35.881023, 36.399041, 39.882326, 44.928390], [26.466795, 28.472194, 28.739466, 32.108545, 34.800943]]
### 16
fourier: [[24.877582, 25.217314, 25.633855, 28.597041, 31.847172]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[20.278857, 20.445683, 22.417650, 25.452018, 133.336307], [22.852480, 26.526923, 30.241149, 31.843997, 126.552344], [19.035350, 22.875666, 23.310429, 24.124637, 25.108270], [25.274024, 25.693778, 25.761880, 29.913875, 74.933318], [28.409455, 31.903717, 33.238079, 33.976976, 157.853805], [25.489290, 26.415237, 26.505160, 27.794166, 226.165593], [13.211697, 13.686167, 13.898750, 14.124417, 14.293396], [16.955000, 17.183980, 17.184121, 19.314086, 21.146200], [22.914742, 22.996635, 23.134579, 27.968416, 204.154402], [9.383247, 10.257563, 10.275700, 15.676950, 30.760995], [14.822278, 15.406883, 16.749494, 17.033316, 20.057122], [26.450078, 27.381755, 27.447325, 28.488363, 177.994320]]
### 2
fourier: [[26.601968, 26.824946, 27.669198, 33.567026, 281.344205], [15.168301, 15.561190, 16.167085, 20.757917, 112.322688], [24.613886, 25.669258, 28.670695, 32.619889, 214.272579], [15.797549, 16.195726, 17.769083, 20.872381, 54.116136], [21.557648, 23.751865, 24.895817, 26.463206, 134.682191], [15.091306, 16.173844, 16.338971, 17.389264, 131.632401], [13.247133, 13.991412, 16.405809, 16.616022, 111.092744], [12.477860, 12.960626, 14.279181, 16.279371, 39.968108], [17.710228, 17.958415, 18.939049, 22.438475, 167.631500], [13.548593, 13.590803, 13.788251, 14.279847, 109.777987], [12.290315, 13.345845, 13.554221, 14.833626, 92.377642], [18.859441, 19.344818, 20.118913, 23.525494, 54.986719]]
### 4
fourier: [[33.235464, 33.862400, 36.340678, 39.299214, 187.405078], [5.564465, 6.370729, 6.730516, 7.320859, 50.870150], [20.348826, 21.323081, 21.338404, 24.539085, 90.269191], [19.279860, 19.752421, 21.003718, 22.475593, 128.514924], [27.350308, 28.166332, 28.894609, 33.113991, 120.431731], [8.503103, 8.791621, 9.899377, 11.670630, 88.034705], [7.951467, 8.137780, 8.789691, 10.822239, 64.970955], [15.256299, 16.624063, 17.147849, 18.148890, 103.274377], [12.720672, 13.811990, 14.084878, 14.616193, 127.210548], [23.404480, 24.365344, 27.615430, 28.555466, 195.506817], [19.079314, 20.942954, 20.978820, 23.967719, 180.469325], [21.783452, 24.573814, 27.489831, 27.514581, 184.195996]]
### 6
fourier: [[25.835564, 26.132305, 27.223580, 30.972299, 252.154024], [36.344227, 36.769030, 36.892082, 42.298960, 100.256515], [33.200933, 34.749533, 39.603525, 41.049347, 268.699225], [23.211111, 24.483545, 24.697081, 28.243054, 79.748067], [6.659996, 6.820023, 7.393139, 8.832067, 49.674278], [19.517579, 20.159221, 20.303672, 26.638335, 63.098485], [23.126265, 28.086408, 29.187429, 30.223113, 161.619440], [14.251864, 14.933043, 16.552234, 16.865762, 58.138671], [20.164259, 21.269424, 23.732904, 24.921743, 31.565026], [10.926262, 12.062192, 12.188904, 15.938897, 26.295955], [44.142458, 47.959960, 47.964100, 55.216454, 199.313606], [13.225283, 15.994108, 16.216719, 20.034596, 72.990663]]
### 8
fourier: [[31.456795, 32.152787, 34.972848, 36.310938, 38.652621], [20.052918, 20.372179, 20.930383, 22.198377, 28.112511], [17.252076, 22.078687, 22.180647, 24.458775, 24.774100], [5.834936, 5.869817, 6.020702, 8.206021, 37.587475], [23.372161, 24.259423, 25.528711, 27.842146, 57.582107], [24.856679, 30.315320, 31.580400, 34.978122, 130.113374], [34.157395, 34.509704, 35.142373, 45.245184, 100.485396], [30.961849, 32.417611, 32.758064, 36.747431, 41.639808], [9.933869, 10.230254, 11.412014, 12.403819, 12.561714], [35.720019, 35.931123, 38.346024, 41.919773, 67.053523], [50.404987, 52.655783, 53.323203, 61.122926, 215.319798], [35.677492, 36.091526, 38.114204, 42.139817, 69.458798]]
### 10
fourier: [[43.346703, 52.561888, 54.100909, 57.538554, 60.144284], [19.953205, 20.662447, 21.351702, 22.928136, 36.739407], [27.625874, 28.394873, 28.482678, 29.284169, 32.688671], [36.965866, 43.923813, 44.713323, 50.411406, 50.577531], [21.586541, 22.566251, 23.332850, 26.529947, 28.826195], [34.667137, 35.366289, 35.697251, 39.455432, 62.897754], [41.452740, 43.269034, 46.486241, 50.295623, 127.349033], [45.792149, 46.944081, 48.656486, 52.802576, 87.717069], [26.388364, 26.399646, 30.276598, 33.078353, 58.480056], [42.969633, 43.755235, 45.525593, 49.382188, 84.419342], [44.108052, 44.982500, 45.895305, 49.916518, 94.825820], [44.582661, 46.366416, 47.375448, 54.515796, 59.334541]]
### 12
fourier: [[7.639108, 7.797692, 8.608401, 9.057688, 43.690435], [28.338195, 29.855978, 29.925282, 32.357515, 49.469169], [19.631155, 20.821173, 20.995585, 23.485063, 23.674890], [17.517802, 18.372538, 18.749228, 21.707056, 22.088513], [29.603296, 32.099884, 33.576118, 34.713565, 36.667513], [45.502922, 53.807331, 55.273704, 60.940905, 61.087881], [20.249138, 21.383934, 22.604236, 23.071716, 59.822446], [19.857374, 22.014757, 22.719307, 26.058948, 39.526469], [43.898154, 47.831439, 49.078465, 55.250294, 56.817413], [26.106611, 30.489125, 32.091879, 32.482775, 34.607428], [49.028331, 49.746528, 52.403436, 56.118810, 108.820311], [23.362356, 25.477745, 26.300394, 29.203150, 29.453614]]
### 14
fourier: [[24.777190, 25.383561, 27.069702, 28.799768, 70.876147], [10.580918, 10.636693, 11.217735, 11.452332, 80.517040], [23.649623, 23.807018, 24.799471, 26.414733, 57.413698], [7.341049, 7.759563, 8.234600, 8.599008, 20.957034], [21.472222, 23.398923, 24.486117, 28.382968, 61.184780], [13.570586, 15.826835, 16.101870, 17.651350, 18.311465], [25.634733, 26.768558, 26.805802, 30.544579, 33.144501], [20.116415, 22.107226, 22.830347, 25.395215, 26.150725], [38.281700, 40.215960, 42.695625, 43.329128, 44.933850], [10.915791, 11.615521, 12.357440, 13.628979, 47.838623], [34.899181, 35.881023, 36.399041, 39.882326, 44.928390], [26.466795, 28.472194, 28.739466, 32.108545, 34.800943]]
### 16
fourier: [[24.877582, 25.217314, 25.633855, 28.597041, 31.847172]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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"network.16.bias": [-0.231753]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6892505288124084, "train_acc": 0.57, "val_loss": 0.7134959697723389, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6822752058506012, "train_acc": 0.57, "val_loss": 0.7037851810455322, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6808562874794006, "train_acc": 0.57, "val_loss": 0.6758773326873779, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5854860246181488, "train_acc": 0.67, "val_loss": 0.5272175669670105, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.7479191422462463, "train_acc": 0.745, "val_loss": 0.4361151456832886, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4455227255821228, "train_acc": 0.82, "val_loss": 0.49958786368370056, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5361551940441132, "train_acc": 0.775, "val_loss": 0.5432354211807251, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5712670683860779, "train_acc": 0.74, "val_loss": 0.5332843661308289, "val_acc": 0.8}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7134959697723389, "final_val_loss": 0.6758773326873779, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5272175669670105, "final_val_loss": 0.5332843661308289, "initial_val_acc": 0.82, "final_val_acc": 0.8, "best_val_acc": 0.82, "best_epoch": 3}, "improvement": 0.33999999999999997, "first_improvement_epoch": 2}}
|
99
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.38, "improved_accuracy": 0.96, "improvement": 0.58, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 12, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6618, "learning_rate": 0.05968348250934507, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[45.500697, 47.355996, 47.508952, 55.979101, 96.384742], [25.333279, 26.150405, 31.798196, 35.357206, 213.781711], [43.054836, 43.188111, 43.731488, 50.601977, 209.341342], [22.820837, 22.942320, 23.039354, 23.121703, 31.331366], [47.795001, 47.851334, 54.947976, 56.136999, 207.195679], [43.898177, 48.242160, 55.743569, 57.597986, 218.446148], [25.661487, 27.457291, 27.515237, 29.780202, 61.325991], [41.073064, 44.406805, 45.535426, 48.309482, 296.331400], [59.583158, 59.857669, 60.225204, 61.644735, 245.701790], [40.147135, 42.905011, 45.845614, 54.827361, 87.272584], [55.826597, 57.538499, 58.069550, 58.190173, 270.599587], [34.257010, 37.066405, 41.199872, 44.187249, 213.445507]]
### 2
fourier: [[134.193944, 144.153137, 147.342559, 151.545979, 784.002322], [141.084231, 150.389960, 156.427345, 159.841165, 855.920630], [13.999893, 14.219348, 15.243682, 15.360927, 111.120872], [36.286905, 39.332712, 40.367447, 40.838678, 219.727934], [67.066443, 69.856678, 72.839902, 76.051470, 388.644222], [139.588780, 146.856606, 149.972996, 152.265864, 772.906337], [51.467278, 57.530401, 57.676977, 60.101880, 357.058695], [163.942313, 170.579449, 180.561020, 181.909734, 940.702220], [87.978257, 90.986755, 93.676419, 97.723572, 433.769438], [81.013262, 85.581858, 86.857144, 91.937603, 467.246019], [135.123902, 137.599279, 139.948821, 145.925783, 739.794355], [132.621049, 137.602598, 146.795360, 148.149738, 762.743543]]
### 4
fourier: [[217.917767, 228.115467, 236.823070, 238.806283, 1236.656422], [323.806263, 340.342455, 356.382876, 358.349701, 1837.798183], [162.041113, 172.496413, 178.375220, 180.197563, 940.142624], [277.543860, 291.241722, 303.712718, 306.149925, 1574.984405], [231.392823, 239.025196, 250.014991, 254.282240, 1284.057835], [251.350657, 264.856598, 274.428759, 276.982864, 1485.502940], [285.452206, 302.267207, 316.478677, 317.425308, 1638.700545], [325.703185, 341.833299, 356.291759, 358.958330, 1873.241123], [294.216484, 309.436058, 322.140492, 323.836487, 1654.550683], [280.572823, 295.900143, 310.019238, 310.584712, 1605.657246], [236.304579, 248.454420, 258.854653, 259.809628, 1390.965961], [267.472580, 282.369493, 293.112027, 294.606771, 1585.102879]]
### 6
fourier: [[691.946426, 729.508200, 760.334889, 766.666021, 3986.377763], [298.444344, 314.810124, 327.990774, 330.623301, 1698.212870], [566.906074, 595.781245, 619.339693, 626.894127, 3206.592661], [545.852303, 576.573859, 600.587102, 604.237953, 3093.114614], [146.136843, 152.807111, 158.779254, 161.601355, 835.331018], [655.925554, 689.098171, 716.125435, 724.530216, 3749.025645], [562.416054, 591.636789, 614.798312, 621.946079, 3226.306793], [545.058387, 573.448237, 596.763970, 602.903103, 3066.972266], [821.802122, 866.014072, 902.463616, 910.430327, 4691.103799], [24.440264, 25.251828, 25.451518, 26.119763, 113.197174], [518.055473, 546.147724, 567.080727, 572.500195, 2977.063453], [753.503789, 795.008037, 827.565827, 834.244654, 4276.661828]]
### 8
fourier: [[571.599416, 603.242029, 627.773110, 633.266536, 3295.880467], [623.417822, 657.724146, 684.382641, 690.684653, 3554.431078], [573.402018, 604.649869, 628.438215, 634.970666, 3288.376079], [450.161591, 474.926794, 494.531812, 499.277227, 2603.691823], [471.010150, 497.008591, 516.840782, 521.619249, 2709.836823], [369.535740, 389.674244, 404.709608, 409.027853, 2145.144862], [772.505460, 815.395156, 848.420716, 856.050680, 4412.667729], [354.481661, 373.634313, 388.490173, 392.740043, 2032.865219], [419.537488, 442.647373, 461.619683, 465.696353, 2334.716693], [557.056157, 588.166447, 611.922828, 617.544148, 3183.045836], [713.304882, 751.536133, 782.835772, 789.626953, 4020.766192], [480.604319, 506.715434, 526.696686, 532.080055, 2760.884065]]
### 10
fourier: [[494.185804, 521.018505, 542.272910, 547.642084, 2746.265918], [167.878394, 177.057914, 184.230364, 186.069825, 966.854410], [464.370086, 489.527125, 509.541441, 514.572938, 2573.010793], [127.153021, 134.379321, 139.608061, 141.067975, 746.496703], [361.240132, 380.865905, 396.393842, 400.321386, 1988.336128], [415.915285, 438.611887, 456.415335, 460.961596, 2325.652173], [236.637824, 249.514930, 259.671325, 262.249158, 1321.518714], [254.004354, 267.687423, 278.692651, 281.426138, 1350.465009], [82.082380, 86.662319, 90.100941, 91.022609, 470.662115], [151.411500, 159.702448, 166.162552, 167.824466, 866.206651], [438.136437, 462.030708, 480.796473, 485.581994, 2470.749957], [214.479608, 226.036734, 235.327070, 237.635989, 1214.693784]]
### 12
fourier: [[478.606404, 503.598577, 524.100400, 529.346296, 2704.775830], [22.479239, 23.506485, 24.553163, 24.642119, 140.825016], [132.269583, 138.514930, 144.328184, 145.494300, 767.936661], [121.484801, 128.647355, 133.685170, 135.295421, 695.834183], [431.010955, 452.818719, 471.462458, 475.890880, 2451.734056], [522.166394, 550.092615, 572.354350, 578.269230, 2883.545924], [310.554039, 325.169462, 338.817875, 341.628786, 1744.806682], [344.135733, 363.330423, 377.714971, 382.104358, 1848.505240], [292.545654, 306.871270, 319.650748, 322.406038, 1658.699852], [116.766781, 122.942649, 127.870251, 129.299490, 621.060302], [269.907452, 283.315990, 295.005601, 297.732336, 1515.107103], [780.861441, 822.616746, 855.815671, 864.803780, 4330.126487]]
### 14
fourier: [[14.147768, 14.602946, 15.221956, 15.317518, 52.729894], [272.195954, 288.127477, 299.198219, 303.231133, 1479.762899], [384.631327, 405.225573, 421.333394, 426.157600, 2118.554080], [25.773031, 27.324889, 28.380724, 28.763020, 153.077331], [17.594663, 19.033227, 19.621370, 20.109318, 93.462616], [108.792095, 113.452788, 118.353131, 119.130091, 628.583168], [423.970350, 445.724712, 463.745560, 468.595298, 2361.349660], [134.243069, 141.541015, 147.136004, 148.869512, 762.953736], [100.942508, 106.807790, 110.900600, 112.402461, 532.284527], [98.880246, 103.358427, 107.708188, 108.570783, 559.817876], [492.005315, 516.028281, 537.300607, 542.311179, 2724.356436], [342.060462, 359.252196, 373.923745, 377.625408, 1899.080697]]
### 16
fourier: [[53.781499, 56.176699, 58.518029, 58.948863, 223.158726]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 12
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[45.500697, 47.355996, 47.508952, 55.979101, 96.384742], [25.333279, 26.150405, 31.798196, 35.357206, 213.781711], [43.054836, 43.188111, 43.731488, 50.601977, 209.341342], [22.820837, 22.942320, 23.039354, 23.121703, 31.331366], [47.795001, 47.851334, 54.947976, 56.136999, 207.195679], [43.898177, 48.242160, 55.743569, 57.597986, 218.446148], [25.661487, 27.457291, 27.515237, 29.780202, 61.325991], [41.073064, 44.406805, 45.535426, 48.309482, 296.331400], [59.583158, 59.857669, 60.225204, 61.644735, 245.701790], [40.147135, 42.905011, 45.845614, 54.827361, 87.272584], [55.826597, 57.538499, 58.069550, 58.190173, 270.599587], [34.257010, 37.066405, 41.199872, 44.187249, 213.445507]]
### 2
fourier: [[134.193944, 144.153137, 147.342559, 151.545979, 784.002322], [141.084231, 150.389960, 156.427345, 159.841165, 855.920630], [13.999893, 14.219348, 15.243682, 15.360927, 111.120872], [36.286905, 39.332712, 40.367447, 40.838678, 219.727934], [67.066443, 69.856678, 72.839902, 76.051470, 388.644222], [139.588780, 146.856606, 149.972996, 152.265864, 772.906337], [51.467278, 57.530401, 57.676977, 60.101880, 357.058695], [163.942313, 170.579449, 180.561020, 181.909734, 940.702220], [87.978257, 90.986755, 93.676419, 97.723572, 433.769438], [81.013262, 85.581858, 86.857144, 91.937603, 467.246019], [135.123902, 137.599279, 139.948821, 145.925783, 739.794355], [132.621049, 137.602598, 146.795360, 148.149738, 762.743543]]
### 4
fourier: [[217.917767, 228.115467, 236.823070, 238.806283, 1236.656422], [323.806263, 340.342455, 356.382876, 358.349701, 1837.798183], [162.041113, 172.496413, 178.375220, 180.197563, 940.142624], [277.543860, 291.241722, 303.712718, 306.149925, 1574.984405], [231.392823, 239.025196, 250.014991, 254.282240, 1284.057835], [251.350657, 264.856598, 274.428759, 276.982864, 1485.502940], [285.452206, 302.267207, 316.478677, 317.425308, 1638.700545], [325.703185, 341.833299, 356.291759, 358.958330, 1873.241123], [294.216484, 309.436058, 322.140492, 323.836487, 1654.550683], [280.572823, 295.900143, 310.019238, 310.584712, 1605.657246], [236.304579, 248.454420, 258.854653, 259.809628, 1390.965961], [267.472580, 282.369493, 293.112027, 294.606771, 1585.102879]]
### 6
fourier: [[691.946426, 729.508200, 760.334889, 766.666021, 3986.377763], [298.444344, 314.810124, 327.990774, 330.623301, 1698.212870], [566.906074, 595.781245, 619.339693, 626.894127, 3206.592661], [545.852303, 576.573859, 600.587102, 604.237953, 3093.114614], [146.136843, 152.807111, 158.779254, 161.601355, 835.331018], [655.925554, 689.098171, 716.125435, 724.530216, 3749.025645], [562.416054, 591.636789, 614.798312, 621.946079, 3226.306793], [545.058387, 573.448237, 596.763970, 602.903103, 3066.972266], [821.802122, 866.014072, 902.463616, 910.430327, 4691.103799], [24.440264, 25.251828, 25.451518, 26.119763, 113.197174], [518.055473, 546.147724, 567.080727, 572.500195, 2977.063453], [753.503789, 795.008037, 827.565827, 834.244654, 4276.661828]]
### 8
fourier: [[571.599416, 603.242029, 627.773110, 633.266536, 3295.880467], [623.417822, 657.724146, 684.382641, 690.684653, 3554.431078], [573.402018, 604.649869, 628.438215, 634.970666, 3288.376079], [450.161591, 474.926794, 494.531812, 499.277227, 2603.691823], [471.010150, 497.008591, 516.840782, 521.619249, 2709.836823], [369.535740, 389.674244, 404.709608, 409.027853, 2145.144862], [772.505460, 815.395156, 848.420716, 856.050680, 4412.667729], [354.481661, 373.634313, 388.490173, 392.740043, 2032.865219], [419.537488, 442.647373, 461.619683, 465.696353, 2334.716693], [557.056157, 588.166447, 611.922828, 617.544148, 3183.045836], [713.304882, 751.536133, 782.835772, 789.626953, 4020.766192], [480.604319, 506.715434, 526.696686, 532.080055, 2760.884065]]
### 10
fourier: [[494.185804, 521.018505, 542.272910, 547.642084, 2746.265918], [167.878394, 177.057914, 184.230364, 186.069825, 966.854410], [464.370086, 489.527125, 509.541441, 514.572938, 2573.010793], [127.153021, 134.379321, 139.608061, 141.067975, 746.496703], [361.240132, 380.865905, 396.393842, 400.321386, 1988.336128], [415.915285, 438.611887, 456.415335, 460.961596, 2325.652173], [236.637824, 249.514930, 259.671325, 262.249158, 1321.518714], [254.004354, 267.687423, 278.692651, 281.426138, 1350.465009], [82.082380, 86.662319, 90.100941, 91.022609, 470.662115], [151.411500, 159.702448, 166.162552, 167.824466, 866.206651], [438.136437, 462.030708, 480.796473, 485.581994, 2470.749957], [214.479608, 226.036734, 235.327070, 237.635989, 1214.693784]]
### 12
fourier: [[478.606404, 503.598577, 524.100400, 529.346296, 2704.775830], [22.479239, 23.506485, 24.553163, 24.642119, 140.825016], [132.269583, 138.514930, 144.328184, 145.494300, 767.936661], [121.484801, 128.647355, 133.685170, 135.295421, 695.834183], [431.010955, 452.818719, 471.462458, 475.890880, 2451.734056], [522.166394, 550.092615, 572.354350, 578.269230, 2883.545924], [310.554039, 325.169462, 338.817875, 341.628786, 1744.806682], [344.135733, 363.330423, 377.714971, 382.104358, 1848.505240], [292.545654, 306.871270, 319.650748, 322.406038, 1658.699852], [116.766781, 122.942649, 127.870251, 129.299490, 621.060302], [269.907452, 283.315990, 295.005601, 297.732336, 1515.107103], [780.861441, 822.616746, 855.815671, 864.803780, 4330.126487]]
### 14
fourier: [[14.147768, 14.602946, 15.221956, 15.317518, 52.729894], [272.195954, 288.127477, 299.198219, 303.231133, 1479.762899], [384.631327, 405.225573, 421.333394, 426.157600, 2118.554080], [25.773031, 27.324889, 28.380724, 28.763020, 153.077331], [17.594663, 19.033227, 19.621370, 20.109318, 93.462616], [108.792095, 113.452788, 118.353131, 119.130091, 628.583168], [423.970350, 445.724712, 463.745560, 468.595298, 2361.349660], [134.243069, 141.541015, 147.136004, 148.869512, 762.953736], [100.942508, 106.807790, 110.900600, 112.402461, 532.284527], [98.880246, 103.358427, 107.708188, 108.570783, 559.817876], [492.005315, 516.028281, 537.300607, 542.311179, 2724.356436], [342.060462, 359.252196, 373.923745, 377.625408, 1899.080697]]
### 16
fourier: [[53.781499, 56.176699, 58.518029, 58.948863, 223.158726]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7291360795497894, "train_acc": 0.405, "val_loss": 0.6989566087722778, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7044833302497864, "train_acc": 0.595, "val_loss": 0.7019569277763367, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6326508820056915, "train_acc": 0.595, "val_loss": 0.6749313473701477, "val_acc": 0.38}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5936465561389923, "train_acc": 0.595, "val_loss": 0.5930609703063965, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.44434116780757904, "train_acc": 0.53, "val_loss": 0.6492589712142944, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.37519054114818573, "train_acc": 0.915, "val_loss": 0.4171164035797119, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3740658462047577, "train_acc": 0.905, "val_loss": 0.3725346028804779, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.33039091527462006, "train_acc": 0.92, "val_loss": 0.4917354881763458, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.37960779666900635, "train_acc": 0.945, "val_loss": 0.3881722390651703, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.2868873178958893, "train_acc": 0.95, "val_loss": 0.3172484338283539, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.33264417946338654, "train_acc": 0.885, "val_loss": 0.27402016520500183, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.25596410781145096, "train_acc": 0.955, "val_loss": 0.4529663026332855, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.27901139855384827, "train_acc": 0.915, "val_loss": 0.2618834972381592, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.21348724514245987, "train_acc": 0.95, "val_loss": 0.22081054747104645, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6989566087722778, "final_val_loss": 0.5930609703063965, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.6492589712142944, "final_val_loss": 0.22081054747104645, "initial_val_acc": 0.8, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 9}, "improvement": 0.58, "first_improvement_epoch": 3}}
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