example_id
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10k
| metadata
stringlengths 679
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stringlengths 6.02k
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stringclasses 14
values | classification_text
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| improved_signature
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stringlengths 1.76k
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stringlengths 1.46k
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|---|---|---|---|---|---|---|---|
100
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{"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 1.0, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9115, "learning_rate": 0.01570519040435236, "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: 5
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: [[18.694082, 20.459866, 21.398807, 22.736638, 24.408206, 24.589706, 26.031664, 28.927572, 32.746660, 107.076914], [21.338114, 22.001889, 24.180552, 24.814353, 24.937600, 25.612399, 26.469265, 30.918888, 32.815679, 113.403953], [24.392909, 24.968268, 27.923010, 28.786495, 29.037605, 29.281227, 29.786292, 30.747002, 32.055099, 63.617073], [15.233829, 15.665074, 16.537016, 21.070510, 22.443401, 23.618180, 23.800636, 30.786610, 32.487408, 131.612047], [20.792657, 21.591201, 23.002247, 23.524635, 24.697885, 25.658096, 28.075422, 28.268472, 33.089380, 106.880576], [16.140801, 16.364322, 17.883976, 18.911546, 19.351829, 20.033376, 24.469465, 25.332306, 25.677061, 135.829112], [20.984159, 22.856468, 24.776774, 25.208026, 25.552881, 26.615668, 27.687406, 27.980249, 37.147191, 53.156150]]
### 2
fourier: [[26.291167, 29.521733, 30.283095, 32.118411, 34.890499, 36.924218, 38.873091, 40.061302, 46.162167, 94.185092], [20.178034, 20.676154, 21.026726, 24.350179, 25.037883, 27.754258, 28.044240, 30.270500, 34.884579, 164.977775], [21.832284, 22.493680, 23.168921, 24.367427, 24.571650, 25.995463, 26.669861, 27.110279, 27.807587, 180.435032], [18.893438, 19.751538, 19.966043, 21.005028, 24.115020, 25.433966, 25.871742, 26.580751, 27.461891, 27.648685], [7.616685, 8.248819, 8.949685, 9.106194, 9.547464, 10.273642, 11.851376, 13.564669, 14.811126, 15.301444], [20.075906, 20.213997, 21.056300, 23.050663, 26.458129, 26.657338, 29.789716, 36.821059, 38.422097, 195.209645], [24.985485, 25.776479, 27.201308, 27.530802, 27.559162, 29.545786, 32.169603, 34.719281, 39.737978, 169.043912]]
### 4
fourier: [[5.723426, 5.881015, 6.423535, 6.441703, 6.732075, 7.032241, 7.262226, 7.995677, 8.028276, 57.870275], [7.057897, 7.158626, 7.182227, 8.793763, 8.812225, 8.935652, 10.810578, 12.029614, 12.601527, 64.485056], [31.074442, 32.610744, 33.735432, 35.092904, 35.536886, 41.200142, 43.729481, 49.281709, 55.654982, 220.325748], [35.371221, 37.807895, 40.132447, 41.160654, 43.551082, 45.725923, 51.567658, 64.255551, 69.338996, 323.142173], [26.831076, 27.127626, 28.628517, 30.443771, 32.287319, 34.162383, 35.502349, 36.019454, 37.689479, 134.388454], [34.050101, 35.997916, 37.737829, 38.343524, 39.862432, 41.994277, 46.103331, 49.648892, 50.499443, 220.254126], [12.461241, 13.363771, 13.388029, 13.658763, 14.394810, 14.480012, 15.183108, 16.303803, 17.581494, 18.990673]]
### 6
fourier: [[14.458221, 14.698098, 14.813985, 15.379896, 15.573006, 16.906743, 18.968208, 19.772408, 24.125107, 90.149644], [7.020757, 7.160131, 7.224541, 7.249920, 7.284900, 7.757193, 8.772974, 10.203214, 10.954730, 11.775518], [25.959170, 27.724251, 30.297568, 32.469360, 34.185329, 35.203894, 37.450143, 48.331543, 49.262346, 197.431593], [34.646139, 36.039309, 40.464067, 41.752462, 41.919683, 42.679592, 49.610347, 62.522530, 64.151897, 273.827378], [11.094593, 11.296485, 13.086930, 13.732029, 14.535464, 15.603459, 17.312030, 20.458616, 21.426480, 150.550713], [39.396826, 40.447329, 43.557797, 46.093832, 47.187445, 50.082106, 56.205813, 69.814532, 73.120453, 314.281875], [35.934675, 37.079001, 41.718255, 43.065856, 43.203622, 44.179552, 51.451862, 63.499656, 64.597117, 269.666889]]
### 8
fourier: [[13.049221, 13.105342, 14.052836, 14.983576, 17.856965, 18.037232, 20.053741, 21.889172, 23.208183, 46.342705], [13.056771, 13.800763, 13.948656, 16.162744, 19.107314, 19.248579, 19.414272, 20.812843, 23.580580, 30.223478], [11.447606, 11.509603, 13.234330, 14.089515, 14.230902, 14.675341, 16.596620, 20.649497, 20.931720, 109.732070], [77.126205, 83.740517, 86.448215, 91.061870, 94.830121, 97.712637, 111.236279, 138.580675, 138.741657, 560.800235], [1.068315, 1.078277, 1.079032, 1.154875, 1.157296, 1.268101, 1.408670, 1.537123, 1.610909, 22.408095], [70.761088, 76.356823, 77.745415, 84.013955, 85.159438, 87.907717, 101.615819, 125.796810, 126.575719, 534.898795], [14.313370, 14.424025, 14.569426, 19.091717, 19.777123, 20.451066, 20.952010, 23.350030, 26.567970, 99.609022]]
### 10
fourier: [[77.081999, 84.123469, 86.202186, 91.259345, 95.360350, 98.945179, 111.865687, 138.345203, 140.458833, 520.683396]]
## 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: 5
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: [[18.694082, 20.459866, 21.398807, 22.736638, 24.408206, 24.589706, 26.031664, 28.927572, 32.746660, 107.076914], [21.338114, 22.001889, 24.180552, 24.814353, 24.937600, 25.612399, 26.469265, 30.918888, 32.815679, 113.403953], [24.392909, 24.968268, 27.923010, 28.786495, 29.037605, 29.281227, 29.786292, 30.747002, 32.055099, 63.617073], [15.233829, 15.665074, 16.537016, 21.070510, 22.443401, 23.618180, 23.800636, 30.786610, 32.487408, 131.612047], [20.792657, 21.591201, 23.002247, 23.524635, 24.697885, 25.658096, 28.075422, 28.268472, 33.089380, 106.880576], [16.140801, 16.364322, 17.883976, 18.911546, 19.351829, 20.033376, 24.469465, 25.332306, 25.677061, 135.829112], [20.984159, 22.856468, 24.776774, 25.208026, 25.552881, 26.615668, 27.687406, 27.980249, 37.147191, 53.156150]]
### 2
fourier: [[26.291167, 29.521733, 30.283095, 32.118411, 34.890499, 36.924218, 38.873091, 40.061302, 46.162167, 94.185092], [20.178034, 20.676154, 21.026726, 24.350179, 25.037883, 27.754258, 28.044240, 30.270500, 34.884579, 164.977775], [21.832284, 22.493680, 23.168921, 24.367427, 24.571650, 25.995463, 26.669861, 27.110279, 27.807587, 180.435032], [18.893438, 19.751538, 19.966043, 21.005028, 24.115020, 25.433966, 25.871742, 26.580751, 27.461891, 27.648685], [7.616685, 8.248819, 8.949685, 9.106194, 9.547464, 10.273642, 11.851376, 13.564669, 14.811126, 15.301444], [20.075906, 20.213997, 21.056300, 23.050663, 26.458129, 26.657338, 29.789716, 36.821059, 38.422097, 195.209645], [24.985485, 25.776479, 27.201308, 27.530802, 27.559162, 29.545786, 32.169603, 34.719281, 39.737978, 169.043912]]
### 4
fourier: [[5.723426, 5.881015, 6.423535, 6.441703, 6.732075, 7.032241, 7.262226, 7.995677, 8.028276, 57.870275], [7.057897, 7.158626, 7.182227, 8.793763, 8.812225, 8.935652, 10.810578, 12.029614, 12.601527, 64.485056], [31.074442, 32.610744, 33.735432, 35.092904, 35.536886, 41.200142, 43.729481, 49.281709, 55.654982, 220.325748], [35.371221, 37.807895, 40.132447, 41.160654, 43.551082, 45.725923, 51.567658, 64.255551, 69.338996, 323.142173], [26.831076, 27.127626, 28.628517, 30.443771, 32.287319, 34.162383, 35.502349, 36.019454, 37.689479, 134.388454], [34.050101, 35.997916, 37.737829, 38.343524, 39.862432, 41.994277, 46.103331, 49.648892, 50.499443, 220.254126], [12.461241, 13.363771, 13.388029, 13.658763, 14.394810, 14.480012, 15.183108, 16.303803, 17.581494, 18.990673]]
### 6
fourier: [[14.458221, 14.698098, 14.813985, 15.379896, 15.573006, 16.906743, 18.968208, 19.772408, 24.125107, 90.149644], [7.020757, 7.160131, 7.224541, 7.249920, 7.284900, 7.757193, 8.772974, 10.203214, 10.954730, 11.775518], [25.959170, 27.724251, 30.297568, 32.469360, 34.185329, 35.203894, 37.450143, 48.331543, 49.262346, 197.431593], [34.646139, 36.039309, 40.464067, 41.752462, 41.919683, 42.679592, 49.610347, 62.522530, 64.151897, 273.827378], [11.094593, 11.296485, 13.086930, 13.732029, 14.535464, 15.603459, 17.312030, 20.458616, 21.426480, 150.550713], [39.396826, 40.447329, 43.557797, 46.093832, 47.187445, 50.082106, 56.205813, 69.814532, 73.120453, 314.281875], [35.934675, 37.079001, 41.718255, 43.065856, 43.203622, 44.179552, 51.451862, 63.499656, 64.597117, 269.666889]]
### 8
fourier: [[13.049221, 13.105342, 14.052836, 14.983576, 17.856965, 18.037232, 20.053741, 21.889172, 23.208183, 46.342705], [13.056771, 13.800763, 13.948656, 16.162744, 19.107314, 19.248579, 19.414272, 20.812843, 23.580580, 30.223478], [11.447606, 11.509603, 13.234330, 14.089515, 14.230902, 14.675341, 16.596620, 20.649497, 20.931720, 109.732070], [77.126205, 83.740517, 86.448215, 91.061870, 94.830121, 97.712637, 111.236279, 138.580675, 138.741657, 560.800235], [1.068315, 1.078277, 1.079032, 1.154875, 1.157296, 1.268101, 1.408670, 1.537123, 1.610909, 22.408095], [70.761088, 76.356823, 77.745415, 84.013955, 85.159438, 87.907717, 101.615819, 125.796810, 126.575719, 534.898795], [14.313370, 14.424025, 14.569426, 19.091717, 19.777123, 20.451066, 20.952010, 23.350030, 26.567970, 99.609022]]
### 10
fourier: [[77.081999, 84.123469, 86.202186, 91.259345, 95.360350, 98.945179, 111.865687, 138.345203, 140.458833, 520.683396]]
## 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": 0.6987836360931396, "train_acc": 0.43, "val_loss": 0.6911932229995728, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6896753311157227, "train_acc": 0.53, "val_loss": 0.6864280700683594, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6806614100933075, "train_acc": 0.57, "val_loss": 0.6811648011207581, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6587112247943878, "train_acc": 0.57, "val_loss": 0.6676982045173645, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6382985711097717, "train_acc": 0.57, "val_loss": 0.6355589032173157, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6286284625530243, "train_acc": 0.495, "val_loss": 0.5857686400413513, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5864620208740234, "train_acc": 0.495, "val_loss": 0.5376394391059875, "val_acc": 0.54}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5421876013278961, "train_acc": 0.655, "val_loss": 0.4927480220794678, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.501225009560585, "train_acc": 0.79, "val_loss": 0.443547785282135, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.4368070960044861, "train_acc": 0.86, "val_loss": 0.3990502953529358, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.38808518648147583, "train_acc": 0.87, "val_loss": 0.3507007658481598, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.34452131390571594, "train_acc": 0.905, "val_loss": 0.29781731963157654, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.29155565798282623, "train_acc": 0.94, "val_loss": 0.2367507964372635, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.23767589032649994, "train_acc": 0.96, "val_loss": 0.15190739929676056, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.16260424256324768, "train_acc": 0.985, "val_loss": 0.07400795817375183, "val_acc": 1.0}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6911932229995728, "final_val_loss": 0.6355589032173157, "initial_val_acc": 0.48, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5857686400413513, "final_val_loss": 0.07400795817375183, "initial_val_acc": 0.52, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 13}, "improvement": 0.48, "first_improvement_epoch": 4}}
|
101
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 1.0, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1654, "learning_rate": 0.04213763995791613, "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: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[19.414748, 19.822023, 20.605390, 21.507174, 22.569074, 23.562246, 24.248748, 24.697457, 27.428906, 50.590424], [17.883410, 18.228144, 18.335060, 19.916362, 20.263406, 20.433107, 21.509620, 23.695392, 24.234228, 30.659387], [19.716909, 22.325526, 22.631382, 23.326389, 23.340366, 25.176150, 26.725884, 32.494306, 33.248645, 68.858588], [17.675542, 19.609702, 20.129616, 20.258190, 20.286087, 20.832715, 22.032102, 27.357933, 29.767239, 73.211747], [19.434341, 19.666990, 21.100944, 21.490979, 22.057741, 23.923898, 23.928534, 28.502101, 32.925258, 35.872895], [21.090368, 21.276820, 21.496167, 22.706682, 23.094522, 24.479668, 26.150181, 29.753227, 30.417337, 117.102497]]
### 2
fourier: [[27.314531, 28.190160, 29.944823, 30.894978, 31.161416, 33.455073, 37.417931, 41.078593, 41.507186, 184.991494], [18.256234, 19.164234, 19.401913, 19.498422, 19.509990, 20.366210, 23.987094, 24.568253, 30.555618, 162.321770], [7.275399, 7.516145, 7.575084, 8.774755, 8.917359, 9.009647, 9.540705, 9.640349, 11.883599, 17.994244], [7.247630, 7.412708, 8.056273, 8.575608, 9.145624, 10.681461, 11.044960, 11.505226, 12.098214, 59.016207], [34.299218, 34.848349, 37.407094, 39.933457, 40.896035, 44.474820, 49.110338, 50.591614, 53.253043, 209.851896], [9.084672, 9.260632, 10.140022, 10.184734, 10.804132, 11.398700, 11.719877, 11.961218, 12.493138, 95.810157]]
### 4
fourier: [[56.613344, 59.858100, 59.996721, 60.087385, 63.952503, 64.105680, 75.657852, 82.812569, 87.705931, 447.123893], [8.463743, 8.502533, 8.791943, 10.047703, 10.917344, 12.490258, 12.782204, 13.066960, 13.327785, 14.957814], [9.783088, 9.893215, 11.252384, 11.262791, 12.497634, 12.813593, 14.294680, 15.079013, 15.121356, 15.482701], [11.563812, 11.760935, 13.942986, 14.100294, 15.549088, 16.554478, 17.508386, 17.786914, 19.660454, 41.897638], [9.152903, 9.449778, 9.668635, 10.208420, 11.115352, 11.368908, 12.460876, 13.775332, 13.889640, 83.809408], [40.884263, 43.483649, 46.112335, 47.817315, 48.191359, 50.945236, 58.043701, 64.179417, 64.450157, 312.612898]]
### 6
fourier: [[14.869344, 15.840762, 17.569158, 17.839020, 18.962503, 19.130091, 22.595730, 24.270623, 25.431608, 37.408515], [56.076511, 60.435439, 64.938933, 66.053137, 68.458715, 69.032189, 82.594187, 88.768564, 93.950798, 412.646403], [26.699089, 28.830313, 30.584335, 31.271871, 31.997927, 32.594408, 39.242660, 41.451771, 45.126948, 143.714241], [13.117422, 14.108027, 14.657864, 15.059670, 15.672365, 16.549877, 16.809308, 18.578556, 20.457109, 162.181051], [42.896973, 44.434998, 44.958998, 45.033235, 48.225913, 48.740760, 56.275671, 62.558475, 64.563534, 337.250826], [20.580020, 21.795553, 24.244536, 25.062266, 25.732270, 28.452225, 33.034115, 33.375709, 37.339681, 38.370426]]
### 8
fourier: [[2.491907, 2.502155, 2.506110, 2.632507, 3.237125, 3.416668, 3.852495, 4.042785, 4.869431, 45.327863], [51.977652, 55.962665, 58.784259, 59.052976, 60.284767, 62.690038, 74.320892, 81.264802, 85.527293, 422.453682], [9.859600, 10.560288, 11.103625, 11.182701, 11.658936, 11.770876, 12.616528, 14.120556, 14.738327, 114.810308], [62.057392, 68.315854, 74.154174, 74.640427, 77.737543, 78.338780, 95.939390, 102.643567, 110.935561, 431.834494], [40.381298, 44.334524, 48.551256, 49.823217, 51.655889, 52.975522, 64.746315, 68.244490, 74.886976, 259.637600], [70.876944, 77.601080, 83.089733, 83.973516, 85.316450, 87.848651, 106.069341, 114.512358, 122.318217, 541.776200]]
### 10
fourier: [[133.209872, 143.419603, 148.019100, 150.056203, 152.761991, 161.176252, 189.002322, 208.308425, 219.186010, 998.562566]]
## 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: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
fourier: [[19.414748, 19.822023, 20.605390, 21.507174, 22.569074, 23.562246, 24.248748, 24.697457, 27.428906, 50.590424], [17.883410, 18.228144, 18.335060, 19.916362, 20.263406, 20.433107, 21.509620, 23.695392, 24.234228, 30.659387], [19.716909, 22.325526, 22.631382, 23.326389, 23.340366, 25.176150, 26.725884, 32.494306, 33.248645, 68.858588], [17.675542, 19.609702, 20.129616, 20.258190, 20.286087, 20.832715, 22.032102, 27.357933, 29.767239, 73.211747], [19.434341, 19.666990, 21.100944, 21.490979, 22.057741, 23.923898, 23.928534, 28.502101, 32.925258, 35.872895], [21.090368, 21.276820, 21.496167, 22.706682, 23.094522, 24.479668, 26.150181, 29.753227, 30.417337, 117.102497]]
### 2
fourier: [[27.314531, 28.190160, 29.944823, 30.894978, 31.161416, 33.455073, 37.417931, 41.078593, 41.507186, 184.991494], [18.256234, 19.164234, 19.401913, 19.498422, 19.509990, 20.366210, 23.987094, 24.568253, 30.555618, 162.321770], [7.275399, 7.516145, 7.575084, 8.774755, 8.917359, 9.009647, 9.540705, 9.640349, 11.883599, 17.994244], [7.247630, 7.412708, 8.056273, 8.575608, 9.145624, 10.681461, 11.044960, 11.505226, 12.098214, 59.016207], [34.299218, 34.848349, 37.407094, 39.933457, 40.896035, 44.474820, 49.110338, 50.591614, 53.253043, 209.851896], [9.084672, 9.260632, 10.140022, 10.184734, 10.804132, 11.398700, 11.719877, 11.961218, 12.493138, 95.810157]]
### 4
fourier: [[56.613344, 59.858100, 59.996721, 60.087385, 63.952503, 64.105680, 75.657852, 82.812569, 87.705931, 447.123893], [8.463743, 8.502533, 8.791943, 10.047703, 10.917344, 12.490258, 12.782204, 13.066960, 13.327785, 14.957814], [9.783088, 9.893215, 11.252384, 11.262791, 12.497634, 12.813593, 14.294680, 15.079013, 15.121356, 15.482701], [11.563812, 11.760935, 13.942986, 14.100294, 15.549088, 16.554478, 17.508386, 17.786914, 19.660454, 41.897638], [9.152903, 9.449778, 9.668635, 10.208420, 11.115352, 11.368908, 12.460876, 13.775332, 13.889640, 83.809408], [40.884263, 43.483649, 46.112335, 47.817315, 48.191359, 50.945236, 58.043701, 64.179417, 64.450157, 312.612898]]
### 6
fourier: [[14.869344, 15.840762, 17.569158, 17.839020, 18.962503, 19.130091, 22.595730, 24.270623, 25.431608, 37.408515], [56.076511, 60.435439, 64.938933, 66.053137, 68.458715, 69.032189, 82.594187, 88.768564, 93.950798, 412.646403], [26.699089, 28.830313, 30.584335, 31.271871, 31.997927, 32.594408, 39.242660, 41.451771, 45.126948, 143.714241], [13.117422, 14.108027, 14.657864, 15.059670, 15.672365, 16.549877, 16.809308, 18.578556, 20.457109, 162.181051], [42.896973, 44.434998, 44.958998, 45.033235, 48.225913, 48.740760, 56.275671, 62.558475, 64.563534, 337.250826], [20.580020, 21.795553, 24.244536, 25.062266, 25.732270, 28.452225, 33.034115, 33.375709, 37.339681, 38.370426]]
### 8
fourier: [[2.491907, 2.502155, 2.506110, 2.632507, 3.237125, 3.416668, 3.852495, 4.042785, 4.869431, 45.327863], [51.977652, 55.962665, 58.784259, 59.052976, 60.284767, 62.690038, 74.320892, 81.264802, 85.527293, 422.453682], [9.859600, 10.560288, 11.103625, 11.182701, 11.658936, 11.770876, 12.616528, 14.120556, 14.738327, 114.810308], [62.057392, 68.315854, 74.154174, 74.640427, 77.737543, 78.338780, 95.939390, 102.643567, 110.935561, 431.834494], [40.381298, 44.334524, 48.551256, 49.823217, 51.655889, 52.975522, 64.746315, 68.244490, 74.886976, 259.637600], [70.876944, 77.601080, 83.089733, 83.973516, 85.316450, 87.848651, 106.069341, 114.512358, 122.318217, 541.776200]]
### 10
fourier: [[133.209872, 143.419603, 148.019100, 150.056203, 152.761991, 161.176252, 189.002322, 208.308425, 219.186010, 998.562566]]
## 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": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.500244, -0.25792, 0.103693, 0.549712, 0.034489], [-0.440243, -0.33931, 0.320356, 0.119338, 0.434239], [-0.361157, 0.042791, 0.260971, -0.195715, 0.831784], [-0.71737, 0.249981, 0.369901, 0.08531, 0.064901], [-0.719573, 0.255244, 0.218149, 0.331245, -0.072007], [0.650175, 0.047155, 0.233338, 0.056915, -0.243824]], "network.0.bias": [0.216663, -0.031226, -0.014746, 0.214999, -0.281025, 0.097354], "network.2.weight": [[0.582756, 0.752028, 0.153628, 0.498424, 0.526474, -0.334611], [0.501948, 0.554047, 0.011211, 0.359964, 0.471, 0.021736], [0.186772, 0.036526, -0.226106, 0.115923, -0.209642, 0.365428], [-0.083587, -0.225664, -0.326925, 0.09889, 0.029359, 0.005081], [0.706537, 0.574692, 0.476057, 0.874966, 0.656384, -0.345805], [-0.076008, -0.339893, -0.040911, -0.512207, 0.15722, 5.2e-05]], "network.2.bias": [0.288874, 0.110836, -0.21585, -0.226563, -0.262078, -0.28872], "network.4.weight": [[0.81915, 0.608189, 0.133289, -0.124784, 0.829169, -0.075038], [-0.329432, 0.229696, 0.41406, 0.15754, -0.139092, 0.054649], [-0.015397, -0.092409, 0.302262, 0.248433, -0.240901, -0.430731], [-0.322111, 0.273835, 0.351572, 0.282269, -0.27876, 0.180422], [-0.020819, 0.13595, -0.147958, -0.319397, -0.376213, -0.022688], [0.841692, -0.023828, -0.304461, 0.271999, 0.699184, -0.08144]], "network.4.bias": [-0.114984, 0.463503, 0.555836, 0.355554, -0.113415, -0.043305], "network.6.weight": [[-0.070415, 0.270865, -0.037081, 0.414518, 0.015513, -0.241824], [0.584913, -0.812037, -0.217274, -0.596896, 0.221001, 0.508838], [-0.464677, 0.582748, 0.164823, 0.110533, -0.198494, 0.025045], [0.052052, -0.065933, -0.611656, -0.168438, 0.076193, -0.459217], [0.577412, -0.241756, 0.352947, 0.243476, -0.192073, 0.258182], [-0.216519, 0.597731, 0.846551, 0.147877, -0.191322, -0.114556]], "network.6.bias": [0.643619, 0.273918, 0.400498, -0.224467, -0.110408, 0.642502], "network.8.weight": [[-0.185383, -0.14718, 0.063276, 0.141192, 0.182316, -0.251315], [-0.42615, 0.587952, -0.245808, 0.216416, 0.450371, 0.120691], [-0.271591, -0.396099, 0.333175, 0.267884, 0.228774, -0.356913], [-0.637437, 0.692253, -0.198053, 0.117042, 0.507857, -0.480574], [-0.053696, 0.637421, -0.521333, 0.101461, 0.063412, -0.519312], [-0.147555, 0.774977, -0.288366, -0.167636, 0.631515, -0.509801]], "network.8.bias": [-0.287128, 0.345829, -0.026973, 0.1536, 0.075081, 0.386009], "network.10.weight": [[0.386702, -0.808918, -0.359784, -0.622372, -0.175226, -0.669827]], "network.10.bias": [0.683339]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.685449093580246, "train_acc": 0.56, "val_loss": 0.6711976528167725, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6430018842220306, "train_acc": 0.56, "val_loss": 0.5584871768951416, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5476366877555847, "train_acc": 0.635, "val_loss": 0.38880181312561035, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4098786562681198, "train_acc": 0.89, "val_loss": 0.3317534327507019, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.35910406708717346, "train_acc": 0.89, "val_loss": 0.27265873551368713, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3512592166662216, "train_acc": 0.905, "val_loss": 0.2532511055469513, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3371216654777527, "train_acc": 0.91, "val_loss": 0.23102441430091858, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.29707834124565125, "train_acc": 0.92, "val_loss": 0.2005692720413208, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.26958639919757843, "train_acc": 0.945, "val_loss": 0.2661501169204712, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2541278004646301, "train_acc": 0.945, "val_loss": 0.2584238350391388, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2396276369690895, "train_acc": 0.945, "val_loss": 0.16295850276947021, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2318575605750084, "train_acc": 0.95, "val_loss": 0.1492421180009842, "val_acc": 1.0}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6711976528167725, "final_val_loss": 0.5584871768951416, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.38880181312561035, "final_val_loss": 0.1492421180009842, "initial_val_acc": 0.94, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 7}, "improvement": 0.48, "first_improvement_epoch": 1}}
|
102
|
{"target_pattern": "alternating", "degraded_accuracy": 0.64, "improved_accuracy": 0.96, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7898, "learning_rate": 0.06855529555649914, "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: 4
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: [[21.232285, 21.847071, 24.053096, 25.528095, 25.695652, 26.038919, 26.951032, 28.343490, 32.268247, 183.707492], [29.689029, 31.295486, 32.591314, 33.268197, 36.355855, 36.473577, 39.105943, 40.243073, 49.854444, 60.754845], [20.318028, 21.751765, 22.181169, 22.646382, 23.171828, 23.222140, 25.722838, 27.060840, 27.728004, 28.344909], [21.237994, 21.700278, 24.851189, 25.022431, 25.073047, 25.240565, 26.182447, 27.605237, 28.683173, 243.160851], [34.248749, 38.983319, 39.400108, 39.668977, 40.835949, 43.882590, 44.283930, 45.086608, 53.626950, 103.864785], [15.887150, 16.204315, 18.019803, 19.011814, 19.344908, 20.975499, 21.535607, 23.928331, 26.750954, 216.556267], [17.510246, 18.883014, 19.031415, 19.332654, 20.122429, 20.186281, 21.318118, 22.054241, 23.219261, 43.553479], [20.253082, 21.527345, 21.815475, 21.940039, 22.072337, 23.154309, 23.481727, 26.615548, 30.110061, 160.939257]]
### 2
fourier: [[23.414357, 23.588326, 24.883081, 25.866845, 28.342481, 32.029260, 34.987785, 37.070476, 38.886908, 58.021936], [14.198834, 14.206916, 14.448938, 15.596958, 17.715465, 18.131528, 18.559626, 18.568337, 21.737219, 55.845712], [7.487409, 8.147150, 8.459185, 8.484560, 9.015917, 9.771512, 11.816781, 12.935139, 13.790126, 111.785141], [10.202479, 11.152965, 11.237065, 11.509770, 12.269577, 12.406404, 13.492038, 15.623298, 19.640612, 129.935513], [19.266377, 21.200341, 21.338088, 21.496673, 23.982126, 24.793663, 25.376093, 28.443980, 32.941745, 51.019162], [12.960427, 14.551919, 14.565669, 14.598841, 14.849898, 16.147617, 16.965116, 18.115655, 20.182852, 179.852342], [11.969702, 12.745726, 12.942438, 13.330270, 13.425665, 14.312020, 15.111956, 15.173987, 19.203519, 40.915617], [11.182166, 12.135941, 12.418739, 12.516048, 12.628814, 14.150082, 16.670117, 17.771534, 19.759704, 139.163071]]
### 4
fourier: [[3.204818, 3.226278, 3.834747, 3.904474, 3.977516, 4.204817, 4.372670, 4.721892, 5.890058, 76.408629], [12.917904, 14.836919, 16.065051, 16.174101, 16.891142, 18.330805, 19.225473, 20.413640, 25.869853, 91.691022], [3.878448, 3.921498, 4.032076, 4.141171, 4.275213, 4.374335, 4.768159, 5.123658, 5.160296, 18.956077], [17.449033, 17.692663, 17.988348, 18.636612, 19.262979, 19.353605, 19.971436, 20.853982, 21.185781, 44.188059], [10.451232, 10.935829, 11.056075, 11.059300, 11.217340, 11.585181, 13.629220, 13.737405, 13.994834, 15.129550], [7.950331, 7.973330, 8.076997, 8.274250, 8.736020, 8.845992, 9.245078, 11.293827, 13.317136, 90.625335], [15.012585, 15.958785, 16.089067, 17.537218, 18.319002, 19.738304, 21.015005, 23.000253, 27.098809, 122.373908], [10.041916, 10.163649, 10.286558, 10.901055, 11.108890, 11.440838, 11.559795, 11.960349, 12.325164, 48.770206]]
### 6
fourier: [[8.965766, 9.042783, 9.826979, 10.538514, 11.177795, 11.218208, 11.931144, 12.657929, 16.225565, 89.536037], [27.244361, 28.817721, 29.987442, 30.846918, 32.327196, 35.894798, 40.338471, 40.614093, 49.808369, 204.967569], [35.925108, 36.990621, 38.105831, 38.222984, 39.484451, 41.052569, 42.753627, 43.251524, 46.784245, 47.849346], [24.514106, 25.850303, 26.533697, 27.260560, 28.000377, 28.165937, 29.763051, 30.876627, 31.169785, 33.926457], [18.953359, 19.517225, 21.536670, 21.565367, 22.626352, 24.767659, 27.289034, 28.570246, 34.826398, 157.490595], [17.980496, 18.016692, 18.749128, 19.078781, 19.316311, 20.386304, 20.695825, 21.749263, 22.137181, 70.270373], [10.907100, 11.943347, 12.032432, 12.074656, 12.741927, 14.074092, 14.132174, 14.988908, 16.264418, 133.571845], [21.537811, 22.542878, 22.835820, 24.111895, 25.538794, 28.028097, 31.832833, 32.166409, 38.637584, 169.006501]]
### 8
fourier: [[73.106447, 73.292118, 76.371261, 77.101833, 77.381663, 82.573745, 92.778467, 98.630183, 106.794755, 241.537763]]
## 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: 4
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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[
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## Activation Signature
### 0
fourier: [[21.232285, 21.847071, 24.053096, 25.528095, 25.695652, 26.038919, 26.951032, 28.343490, 32.268247, 183.707492], [29.689029, 31.295486, 32.591314, 33.268197, 36.355855, 36.473577, 39.105943, 40.243073, 49.854444, 60.754845], [20.318028, 21.751765, 22.181169, 22.646382, 23.171828, 23.222140, 25.722838, 27.060840, 27.728004, 28.344909], [21.237994, 21.700278, 24.851189, 25.022431, 25.073047, 25.240565, 26.182447, 27.605237, 28.683173, 243.160851], [34.248749, 38.983319, 39.400108, 39.668977, 40.835949, 43.882590, 44.283930, 45.086608, 53.626950, 103.864785], [15.887150, 16.204315, 18.019803, 19.011814, 19.344908, 20.975499, 21.535607, 23.928331, 26.750954, 216.556267], [17.510246, 18.883014, 19.031415, 19.332654, 20.122429, 20.186281, 21.318118, 22.054241, 23.219261, 43.553479], [20.253082, 21.527345, 21.815475, 21.940039, 22.072337, 23.154309, 23.481727, 26.615548, 30.110061, 160.939257]]
### 2
fourier: [[23.414357, 23.588326, 24.883081, 25.866845, 28.342481, 32.029260, 34.987785, 37.070476, 38.886908, 58.021936], [14.198834, 14.206916, 14.448938, 15.596958, 17.715465, 18.131528, 18.559626, 18.568337, 21.737219, 55.845712], [7.487409, 8.147150, 8.459185, 8.484560, 9.015917, 9.771512, 11.816781, 12.935139, 13.790126, 111.785141], [10.202479, 11.152965, 11.237065, 11.509770, 12.269577, 12.406404, 13.492038, 15.623298, 19.640612, 129.935513], [19.266377, 21.200341, 21.338088, 21.496673, 23.982126, 24.793663, 25.376093, 28.443980, 32.941745, 51.019162], [12.960427, 14.551919, 14.565669, 14.598841, 14.849898, 16.147617, 16.965116, 18.115655, 20.182852, 179.852342], [11.969702, 12.745726, 12.942438, 13.330270, 13.425665, 14.312020, 15.111956, 15.173987, 19.203519, 40.915617], [11.182166, 12.135941, 12.418739, 12.516048, 12.628814, 14.150082, 16.670117, 17.771534, 19.759704, 139.163071]]
### 4
fourier: [[3.204818, 3.226278, 3.834747, 3.904474, 3.977516, 4.204817, 4.372670, 4.721892, 5.890058, 76.408629], [12.917904, 14.836919, 16.065051, 16.174101, 16.891142, 18.330805, 19.225473, 20.413640, 25.869853, 91.691022], [3.878448, 3.921498, 4.032076, 4.141171, 4.275213, 4.374335, 4.768159, 5.123658, 5.160296, 18.956077], [17.449033, 17.692663, 17.988348, 18.636612, 19.262979, 19.353605, 19.971436, 20.853982, 21.185781, 44.188059], [10.451232, 10.935829, 11.056075, 11.059300, 11.217340, 11.585181, 13.629220, 13.737405, 13.994834, 15.129550], [7.950331, 7.973330, 8.076997, 8.274250, 8.736020, 8.845992, 9.245078, 11.293827, 13.317136, 90.625335], [15.012585, 15.958785, 16.089067, 17.537218, 18.319002, 19.738304, 21.015005, 23.000253, 27.098809, 122.373908], [10.041916, 10.163649, 10.286558, 10.901055, 11.108890, 11.440838, 11.559795, 11.960349, 12.325164, 48.770206]]
### 6
fourier: [[8.965766, 9.042783, 9.826979, 10.538514, 11.177795, 11.218208, 11.931144, 12.657929, 16.225565, 89.536037], [27.244361, 28.817721, 29.987442, 30.846918, 32.327196, 35.894798, 40.338471, 40.614093, 49.808369, 204.967569], [35.925108, 36.990621, 38.105831, 38.222984, 39.484451, 41.052569, 42.753627, 43.251524, 46.784245, 47.849346], [24.514106, 25.850303, 26.533697, 27.260560, 28.000377, 28.165937, 29.763051, 30.876627, 31.169785, 33.926457], [18.953359, 19.517225, 21.536670, 21.565367, 22.626352, 24.767659, 27.289034, 28.570246, 34.826398, 157.490595], [17.980496, 18.016692, 18.749128, 19.078781, 19.316311, 20.386304, 20.695825, 21.749263, 22.137181, 70.270373], [10.907100, 11.943347, 12.032432, 12.074656, 12.741927, 14.074092, 14.132174, 14.988908, 16.264418, 133.571845], [21.537811, 22.542878, 22.835820, 24.111895, 25.538794, 28.028097, 31.832833, 32.166409, 38.637584, 169.006501]]
### 8
fourier: [[73.106447, 73.292118, 76.371261, 77.101833, 77.381663, 82.573745, 92.778467, 98.630183, 106.794755, 241.537763]]
## 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": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.1913, -0.362204, -0.495821, -0.296543, 0.333878], [0.189502, 0.589003, -0.74908, 0.566615, -0.61001], [-0.601317, -0.256025, 0.411028, 0.352646, 0.241413], [-0.117237, 0.106165, 0.572681, 0.364972, 0.348859], [0.734428, -0.548678, 0.348552, -0.95183, 0.082309], [-0.318811, 0.028353, -0.136428, -0.408546, -0.257792], [-0.341372, 0.060392, -0.334098, -0.23909, 0.605261], [0.173905, 0.337783, 0.355823, 0.296664, -0.503628]], "network.0.bias": [0.116738, 0.198159, -0.573822, 0.245037, 0.14335, -0.582074, 0.294963, 0.197969], "network.2.weight": [[-0.147254, -0.90972, 0.01687, 0.299379, 0.665329, 0.036244, -0.266245, -0.304439], [0.27967, -0.45285, -0.062173, 0.109741, 0.362726, 0.236444, -0.382885, -0.334546], [0.207569, -0.365165, 0.249828, -0.165773, 0.003329, 0.202766, -0.098478, -0.07663], [-0.125125, -0.325984, -0.322818, -0.41213, -0.313014, 0.18545, 0.240656, 0.280256], [0.364639, -0.471356, 0.55467, 0.42096, -0.436879, -0.196714, 0.480224, -0.109538], [-0.039437, -0.212203, 0.023172, -0.501293, -0.112088, 0.146815, -0.181986, -0.221996], [0.015106, 0.262911, 0.157447, -0.179108, -0.472852, -0.032855, -0.263029, 0.145159], [0.193876, -0.205428, 0.139142, 0.320879, 0.032265, -0.031809, 0.716353, 0.195461]], "network.2.bias": [-0.16085, 0.159372, -0.377674, -0.118821, -0.098184, 0.129157, -0.278409, 0.20453], "network.4.weight": [[0.202717, 0.038324, 0.034953, -0.237717, 0.22773, 0.020641, -0.244664, -0.188339], [-0.213485, -0.303589, 0.008929, -0.111693, 0.700255, 0.406456, -0.006001, 0.324431], [0.284046, 0.063401, -0.12886, -0.284163, 0.012603, 0.048619, -0.024804, -0.099193], [0.773394, 0.964703, 0.202028, -0.027018, -0.146312, 0.190357, 0.361932, -0.368198], [0.347943, 0.594076, -0.151839, 0.368831, -0.097884, -0.300768, 0.191264, -0.559935], [-0.034797, -0.058643, 0.23812, -0.425107, -0.441061, 0.164485, -0.069821, -0.080229], [-0.543532, -0.054558, 0.021305, 0.277327, 0.732995, -0.03248, 0.366552, 0.373765], [0.46815, 0.475905, -0.170868, -0.017424, -0.170163, 0.083561, 0.264548, -0.080853]], "network.4.bias": [0.878264, 0.005677, 0.232491, 0.693492, 0.691668, -0.44627, 0.285216, 0.529045], "network.6.weight": [[0.495094, 0.293177, -0.26924, -0.253378, 0.214785, -0.00244, 0.30881, 0.228593], [0.525786, 0.825046, -0.010551, -0.336824, -0.03453, 0.401786, 0.902677, -0.351534], [0.333053, -0.401969, 0.397883, 0.849673, 0.785501, -0.23878, -0.57498, 0.689809], [0.309107, -0.065854, 0.384935, 0.47889, 0.515281, 0.13655, -0.659027, 0.659117], [0.282612, 0.700393, -0.171999, -0.218189, 0.325955, -0.298754, 0.585101, -0.275489], [0.050917, -0.341987, 0.129976, 0.420799, 0.363971, -0.200141, 0.070136, 0.645297], [-0.508979, -0.085536, -0.046834, -0.332232, -0.377819, 0.143735, 0.023788, -0.328463], [0.426298, 0.368468, -0.034784, -0.301631, 0.06538, 0.182586, 0.957581, -0.313836]], "network.6.bias": [-0.15671, 0.079583, 0.274051, 0.066781, 0.158094, 0.247105, -0.485786, 0.105937], "network.8.weight": [[-0.271628, -0.650906, 0.775521, 0.470077, -0.657513, 0.379364, 0.079174, -0.61516]], "network.8.bias": [-0.028646]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6770781874656677, "train_acc": 0.52, "val_loss": 0.7538005709648132, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.627291202545166, "train_acc": 0.58, "val_loss": 0.645435631275177, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.48264768719673157, "train_acc": 0.745, "val_loss": 0.4373153746128082, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.262078657746315, "train_acc": 0.89, "val_loss": 0.3193742036819458, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.28080202639102936, "train_acc": 0.92, "val_loss": 0.5709784030914307, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2001279667019844, "train_acc": 0.93, "val_loss": 0.42684364318847656, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.12401589006185532, "train_acc": 0.955, "val_loss": 0.35687077045440674, "val_acc": 0.94}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7538005709648132, "final_val_loss": 0.645435631275177, "initial_val_acc": 0.44, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.4373153746128082, "final_val_loss": 0.35687077045440674, "initial_val_acc": 0.82, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 5}, "improvement": 0.31999999999999995, "first_improvement_epoch": 1}}
|
103
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 0.8, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2254, "learning_rate": 0.03622493745133102, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[25.591602, 25.698597, 27.595343, 30.088553, 31.936825, 33.686913, 35.706183, 36.660653, 41.673254, 244.305750], [19.694029, 21.587805, 22.897578, 23.020912, 23.068472, 24.532759, 26.819481, 30.149207, 30.470202, 173.364331], [14.154407, 14.285605, 14.468658, 14.626920, 15.056069, 15.099792, 15.752055, 16.697455, 17.580244, 19.467439], [18.285057, 21.931453, 22.151942, 22.925411, 23.903482, 24.510180, 28.096763, 29.689536, 32.470206, 175.683532], [14.545769, 15.121690, 16.209725, 16.526752, 17.099891, 18.234301, 18.372205, 19.688699, 22.140060, 22.482554]]
### 2
fourier: [[9.042612, 9.239006, 9.399239, 9.859152, 10.391380, 12.091063, 12.413720, 12.611655, 13.317737, 15.217926], [10.375503, 10.486365, 10.623095, 12.292012, 12.405538, 14.104498, 14.235787, 14.692189, 15.363728, 19.294073], [4.590749, 4.611034, 4.701362, 5.068357, 6.015224, 6.187424, 6.277417, 6.614416, 6.901418, 46.062850], [19.904079, 21.170664, 22.482445, 23.074823, 25.349272, 27.090395, 27.432862, 29.200843, 29.709555, 164.386733], [10.761758, 11.457426, 11.841359, 12.401604, 14.877859, 14.879819, 15.045358, 15.105651, 19.099213, 108.801452]]
### 4
fourier: [[12.082176, 12.430188, 12.830817, 12.997778, 13.510249, 13.875558, 16.202356, 17.129260, 20.365683, 66.452840], [14.851066, 14.914277, 15.578831, 16.360151, 16.690073, 18.161119, 19.013524, 20.192047, 26.045682, 116.548911], [5.570819, 5.587768, 5.609199, 5.657519, 5.866790, 6.319156, 6.642203, 6.734741, 9.309931, 66.018141], [9.716120, 9.808320, 9.875078, 9.935537, 10.314140, 11.919190, 12.907564, 13.498192, 15.096962, 92.280942], [11.097738, 11.123247, 12.381087, 12.423540, 12.861612, 13.119559, 13.186692, 16.905958, 17.355187, 20.911489]]
### 6
fourier: [[11.667124, 11.879867, 12.929979, 13.056809, 14.140746, 14.701888, 15.861674, 17.353829, 21.750239, 81.872651], [15.767753, 16.136752, 16.891609, 17.458168, 18.886272, 19.877280, 21.196361, 22.959765, 29.326458, 137.480984], [7.589323, 7.844784, 8.340001, 9.218160, 9.754279, 9.769603, 10.505888, 10.742546, 14.845346, 63.645111], [12.909672, 12.942383, 14.098832, 14.867369, 15.947543, 16.294614, 17.547048, 19.333677, 24.215556, 108.433982], [6.139949, 6.186452, 6.295875, 6.346227, 7.182994, 7.425000, 7.573708, 7.763726, 10.861949, 69.863579]]
### 8
fourier: [[17.837920, 18.532329, 18.853144, 20.827141, 22.136986, 25.127448, 26.152639, 28.838123, 32.620539, 146.620231], [3.301358, 3.315217, 3.412347, 3.489613, 3.742744, 4.461201, 5.026978, 5.202005, 5.591890, 47.828657], [17.643843, 18.456260, 18.786486, 20.230050, 21.725277, 24.870796, 26.627201, 28.670357, 31.938447, 144.298208], [21.576097, 22.636476, 23.121629, 24.695254, 26.562914, 30.550540, 33.064873, 35.288317, 39.077139, 165.337144], [26.318544, 27.365095, 27.941384, 30.855732, 32.677887, 37.249486, 38.838563, 42.739851, 48.309276, 253.171264]]
### 10
fourier: [[21.944437, 22.609154, 23.547267, 26.283420, 27.674852, 31.611266, 32.696618, 36.081330, 40.674894, 174.457873], [25.327292, 26.898828, 27.376965, 28.992980, 30.849742, 35.872015, 38.713290, 41.839765, 45.959660, 225.420577], [19.014068, 19.552850, 19.941941, 23.877130, 23.893856, 25.526592, 27.132275, 29.928813, 35.220942, 158.174954], [21.332732, 22.068130, 22.975552, 25.598699, 26.673019, 30.712655, 31.606805, 35.113292, 39.612038, 196.183992], [18.983857, 19.570511, 19.934504, 23.595694, 24.168924, 26.661883, 27.343906, 30.605632, 35.512169, 150.785881]]
### 12
fourier: [[45.049029, 48.051248, 49.080577, 50.479063, 53.372962, 63.537978, 69.637849, 74.558756, 80.214265, 399.445197]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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],
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0.16931,
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],
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0.499603,
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],
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0.344489,
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0.042543,
-0.607208,
0.288537
]
],
"network.6.bias": [
-0.073305,
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0.209945,
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],
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-0.658404,
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}
## Activation Signature
### 0
fourier: [[25.591602, 25.698597, 27.595343, 30.088553, 31.936825, 33.686913, 35.706183, 36.660653, 41.673254, 244.305750], [19.694029, 21.587805, 22.897578, 23.020912, 23.068472, 24.532759, 26.819481, 30.149207, 30.470202, 173.364331], [14.154407, 14.285605, 14.468658, 14.626920, 15.056069, 15.099792, 15.752055, 16.697455, 17.580244, 19.467439], [18.285057, 21.931453, 22.151942, 22.925411, 23.903482, 24.510180, 28.096763, 29.689536, 32.470206, 175.683532], [14.545769, 15.121690, 16.209725, 16.526752, 17.099891, 18.234301, 18.372205, 19.688699, 22.140060, 22.482554]]
### 2
fourier: [[9.042612, 9.239006, 9.399239, 9.859152, 10.391380, 12.091063, 12.413720, 12.611655, 13.317737, 15.217926], [10.375503, 10.486365, 10.623095, 12.292012, 12.405538, 14.104498, 14.235787, 14.692189, 15.363728, 19.294073], [4.590749, 4.611034, 4.701362, 5.068357, 6.015224, 6.187424, 6.277417, 6.614416, 6.901418, 46.062850], [19.904079, 21.170664, 22.482445, 23.074823, 25.349272, 27.090395, 27.432862, 29.200843, 29.709555, 164.386733], [10.761758, 11.457426, 11.841359, 12.401604, 14.877859, 14.879819, 15.045358, 15.105651, 19.099213, 108.801452]]
### 4
fourier: [[12.082176, 12.430188, 12.830817, 12.997778, 13.510249, 13.875558, 16.202356, 17.129260, 20.365683, 66.452840], [14.851066, 14.914277, 15.578831, 16.360151, 16.690073, 18.161119, 19.013524, 20.192047, 26.045682, 116.548911], [5.570819, 5.587768, 5.609199, 5.657519, 5.866790, 6.319156, 6.642203, 6.734741, 9.309931, 66.018141], [9.716120, 9.808320, 9.875078, 9.935537, 10.314140, 11.919190, 12.907564, 13.498192, 15.096962, 92.280942], [11.097738, 11.123247, 12.381087, 12.423540, 12.861612, 13.119559, 13.186692, 16.905958, 17.355187, 20.911489]]
### 6
fourier: [[11.667124, 11.879867, 12.929979, 13.056809, 14.140746, 14.701888, 15.861674, 17.353829, 21.750239, 81.872651], [15.767753, 16.136752, 16.891609, 17.458168, 18.886272, 19.877280, 21.196361, 22.959765, 29.326458, 137.480984], [7.589323, 7.844784, 8.340001, 9.218160, 9.754279, 9.769603, 10.505888, 10.742546, 14.845346, 63.645111], [12.909672, 12.942383, 14.098832, 14.867369, 15.947543, 16.294614, 17.547048, 19.333677, 24.215556, 108.433982], [6.139949, 6.186452, 6.295875, 6.346227, 7.182994, 7.425000, 7.573708, 7.763726, 10.861949, 69.863579]]
### 8
fourier: [[17.837920, 18.532329, 18.853144, 20.827141, 22.136986, 25.127448, 26.152639, 28.838123, 32.620539, 146.620231], [3.301358, 3.315217, 3.412347, 3.489613, 3.742744, 4.461201, 5.026978, 5.202005, 5.591890, 47.828657], [17.643843, 18.456260, 18.786486, 20.230050, 21.725277, 24.870796, 26.627201, 28.670357, 31.938447, 144.298208], [21.576097, 22.636476, 23.121629, 24.695254, 26.562914, 30.550540, 33.064873, 35.288317, 39.077139, 165.337144], [26.318544, 27.365095, 27.941384, 30.855732, 32.677887, 37.249486, 38.838563, 42.739851, 48.309276, 253.171264]]
### 10
fourier: [[21.944437, 22.609154, 23.547267, 26.283420, 27.674852, 31.611266, 32.696618, 36.081330, 40.674894, 174.457873], [25.327292, 26.898828, 27.376965, 28.992980, 30.849742, 35.872015, 38.713290, 41.839765, 45.959660, 225.420577], [19.014068, 19.552850, 19.941941, 23.877130, 23.893856, 25.526592, 27.132275, 29.928813, 35.220942, 158.174954], [21.332732, 22.068130, 22.975552, 25.598699, 26.673019, 30.712655, 31.606805, 35.113292, 39.612038, 196.183992], [18.983857, 19.570511, 19.934504, 23.595694, 24.168924, 26.661883, 27.343906, 30.605632, 35.512169, 150.785881]]
### 12
fourier: [[45.049029, 48.051248, 49.080577, 50.479063, 53.372962, 63.537978, 69.637849, 74.558756, 80.214265, 399.445197]]
## 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": 0.6858323216438293, "train_acc": 0.57, "val_loss": 0.69712233543396, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6835358142852783, "train_acc": 0.57, "val_loss": 0.6884738802909851, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6685293614864349, "train_acc": 0.57, "val_loss": 0.6664279103279114, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6346324980258942, "train_acc": 0.57, "val_loss": 0.6211979389190674, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.588049590587616, "train_acc": 0.495, "val_loss": 0.5482585430145264, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.49987854063510895, "train_acc": 0.85, "val_loss": 0.4889431297779083, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.43457405269145966, "train_acc": 0.84, "val_loss": 0.4635799527168274, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.39676491916179657, "train_acc": 0.835, "val_loss": 0.4575699269771576, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.36673566699028015, "train_acc": 0.84, "val_loss": 0.4471946656703949, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.32080602645874023, "train_acc": 0.86, "val_loss": 0.45177093148231506, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.40195034444332123, "train_acc": 0.86, "val_loss": 0.4856327772140503, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.38165169954299927, "train_acc": 0.845, "val_loss": 0.5373176336288452, "val_acc": 0.76}], "summary": {"total_epochs": 12, "degraded_epochs": 4, "improved_epochs": 8, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.69712233543396, "final_val_loss": 0.6211979389190674, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5482585430145264, "final_val_loss": 0.5373176336288452, "initial_val_acc": 0.74, "final_val_acc": 0.76, "best_val_acc": 0.8, "best_epoch": 5}, "improvement": 0.28, "first_improvement_epoch": 3}}
|
104
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.54, "improved_accuracy": 0.96, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6191, "learning_rate": 0.014589337002906898, "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: 4
Neurons per Layer: 6
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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],
"network.2.bias": [
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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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[
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}
## Activation Signature
### 0
fourier: [[23.362808, 23.439176, 25.487607, 26.034343, 26.257055, 26.638308, 27.643077, 31.063871, 36.107833, 37.970222], [19.636241, 20.307036, 22.118071, 22.414459, 22.443351, 22.463746, 22.603032, 23.596906, 24.401263, 78.007920], [18.427005, 20.901265, 21.723625, 21.940878, 22.698887, 23.051968, 25.599005, 25.953582, 29.494648, 179.091205], [25.543455, 26.139471, 26.980866, 27.098858, 28.498789, 32.082074, 32.361204, 34.725019, 37.017597, 270.218895], [14.075783, 14.289931, 14.773091, 15.146209, 15.169187, 16.043006, 18.736824, 18.897786, 19.503731, 19.649051], [14.474243, 15.858103, 16.183302, 17.057812, 17.469162, 17.746541, 18.219874, 19.323376, 19.786380, 21.232301]]
### 2
fourier: [[5.468204, 5.677416, 5.913804, 6.464572, 6.772078, 7.081223, 7.340373, 7.555132, 8.022846, 21.398591], [11.489775, 11.515981, 11.519281, 13.402228, 13.979589, 13.986118, 15.904190, 16.803061, 17.044785, 94.522486], [8.591383, 9.200258, 9.498824, 10.427105, 11.170689, 11.427466, 12.040686, 12.529255, 13.090223, 45.843148], [23.609208, 24.914857, 25.263926, 26.369549, 26.803528, 28.599774, 29.087719, 30.944171, 30.947883, 150.459936], [5.953145, 6.424433, 6.677907, 6.802864, 7.056613, 8.161791, 9.332915, 9.397688, 9.412491, 71.490848], [19.330941, 20.088882, 21.155269, 21.974371, 22.908674, 23.160317, 23.594736, 24.234965, 25.242987, 120.800722]]
### 4
fourier: [[21.209896, 21.834542, 22.387509, 23.784360, 25.041166, 25.423504, 27.041638, 27.696004, 28.848149, 162.214521], [1.641588, 1.645933, 1.706697, 1.821382, 2.031014, 2.060599, 2.106412, 2.474691, 2.831998, 32.126880], [5.465828, 5.573814, 5.624746, 5.670974, 6.393041, 6.537508, 6.648545, 7.685971, 7.770543, 15.592135], [3.527863, 3.751208, 4.345810, 4.441461, 4.510500, 4.738935, 4.809033, 5.020772, 5.614753, 21.699437], [2.996676, 3.116166, 3.198034, 3.548016, 3.898810, 4.083738, 4.639848, 5.445980, 6.045723, 20.808504], [13.174346, 13.184913, 13.323854, 13.892750, 15.367199, 16.105886, 16.702814, 17.048524, 18.636143, 87.492636]]
### 6
fourier: [[7.210191, 7.462325, 7.518565, 7.845689, 8.807602, 9.038726, 9.293288, 9.628234, 9.795804, 28.094360], [9.180888, 9.351467, 9.745059, 10.451105, 10.989706, 11.774076, 11.791502, 12.463730, 13.060122, 65.699793], [5.858044, 6.866825, 6.914998, 7.020039, 7.079002, 7.670493, 7.761891, 7.802600, 8.272855, 9.236741], [15.054137, 15.054271, 15.566103, 15.571087, 17.180930, 18.809082, 19.004991, 19.622630, 20.268254, 81.323580], [18.127334, 18.348675, 18.635762, 19.224807, 19.932978, 22.018544, 22.762199, 23.995111, 24.221172, 105.989187], [15.901592, 16.168683, 16.392669, 17.202635, 17.562313, 19.566073, 20.141259, 21.309086, 21.431353, 109.718483]]
### 8
fourier: [[22.197070, 24.081866, 24.158805, 25.100041, 25.729995, 29.684554, 30.019832, 30.842330, 31.056731, 132.862061]]
## 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: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.596475
],
[
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0.009845,
0.017432
],
[
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0.176937,
-0.347669
],
[
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0.550718,
0.415367,
0.499216
],
[
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[
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]
],
"network.0.bias": [
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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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[
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[
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[
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[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[23.362808, 23.439176, 25.487607, 26.034343, 26.257055, 26.638308, 27.643077, 31.063871, 36.107833, 37.970222], [19.636241, 20.307036, 22.118071, 22.414459, 22.443351, 22.463746, 22.603032, 23.596906, 24.401263, 78.007920], [18.427005, 20.901265, 21.723625, 21.940878, 22.698887, 23.051968, 25.599005, 25.953582, 29.494648, 179.091205], [25.543455, 26.139471, 26.980866, 27.098858, 28.498789, 32.082074, 32.361204, 34.725019, 37.017597, 270.218895], [14.075783, 14.289931, 14.773091, 15.146209, 15.169187, 16.043006, 18.736824, 18.897786, 19.503731, 19.649051], [14.474243, 15.858103, 16.183302, 17.057812, 17.469162, 17.746541, 18.219874, 19.323376, 19.786380, 21.232301]]
### 2
fourier: [[5.468204, 5.677416, 5.913804, 6.464572, 6.772078, 7.081223, 7.340373, 7.555132, 8.022846, 21.398591], [11.489775, 11.515981, 11.519281, 13.402228, 13.979589, 13.986118, 15.904190, 16.803061, 17.044785, 94.522486], [8.591383, 9.200258, 9.498824, 10.427105, 11.170689, 11.427466, 12.040686, 12.529255, 13.090223, 45.843148], [23.609208, 24.914857, 25.263926, 26.369549, 26.803528, 28.599774, 29.087719, 30.944171, 30.947883, 150.459936], [5.953145, 6.424433, 6.677907, 6.802864, 7.056613, 8.161791, 9.332915, 9.397688, 9.412491, 71.490848], [19.330941, 20.088882, 21.155269, 21.974371, 22.908674, 23.160317, 23.594736, 24.234965, 25.242987, 120.800722]]
### 4
fourier: [[21.209896, 21.834542, 22.387509, 23.784360, 25.041166, 25.423504, 27.041638, 27.696004, 28.848149, 162.214521], [1.641588, 1.645933, 1.706697, 1.821382, 2.031014, 2.060599, 2.106412, 2.474691, 2.831998, 32.126880], [5.465828, 5.573814, 5.624746, 5.670974, 6.393041, 6.537508, 6.648545, 7.685971, 7.770543, 15.592135], [3.527863, 3.751208, 4.345810, 4.441461, 4.510500, 4.738935, 4.809033, 5.020772, 5.614753, 21.699437], [2.996676, 3.116166, 3.198034, 3.548016, 3.898810, 4.083738, 4.639848, 5.445980, 6.045723, 20.808504], [13.174346, 13.184913, 13.323854, 13.892750, 15.367199, 16.105886, 16.702814, 17.048524, 18.636143, 87.492636]]
### 6
fourier: [[7.210191, 7.462325, 7.518565, 7.845689, 8.807602, 9.038726, 9.293288, 9.628234, 9.795804, 28.094360], [9.180888, 9.351467, 9.745059, 10.451105, 10.989706, 11.774076, 11.791502, 12.463730, 13.060122, 65.699793], [5.858044, 6.866825, 6.914998, 7.020039, 7.079002, 7.670493, 7.761891, 7.802600, 8.272855, 9.236741], [15.054137, 15.054271, 15.566103, 15.571087, 17.180930, 18.809082, 19.004991, 19.622630, 20.268254, 81.323580], [18.127334, 18.348675, 18.635762, 19.224807, 19.932978, 22.018544, 22.762199, 23.995111, 24.221172, 105.989187], [15.901592, 16.168683, 16.392669, 17.202635, 17.562313, 19.566073, 20.141259, 21.309086, 21.431353, 109.718483]]
### 8
fourier: [[22.197070, 24.081866, 24.158805, 25.100041, 25.729995, 29.684554, 30.019832, 30.842330, 31.056731, 132.862061]]
## 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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11.170689058165374, 11.42746595266362, 12.040686083658374, 12.52925504853572, 13.090222613815326, 45.84314778447151]}, "3": {"fourier": [23.6092084242746, 24.914856831249644, 25.263926442221667, 26.369548610483225, 26.803527716583414, 28.599774394348934, 29.087719262947246, 30.944171172289916, 30.947883061695663, 150.4599363207817]}, "4": {"fourier": [5.953144661664622, 6.424433322737634, 6.677907234482978, 6.802864189157347, 7.056613067745481, 8.161790993662006, 9.332915411512369, 9.397688241960426, 9.412490645024826, 71.49084827303886]}, "5": {"fourier": [19.33094099252352, 20.088881656214273, 21.155268724285182, 21.974370820572258, 22.908673768497877, 23.160316676023115, 23.59473556942337, 24.234964543245844, 25.242986864790687, 120.80072189867496]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [21.209896022641843, 21.834541891444296, 22.38750889059564, 23.78436040371405, 25.041165919708792, 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["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.155386, -0.375628, 0.179801, -0.467392, 0.596475], [0.604019, 0.224847, -0.064475, 0.009845, 0.017432], [0.287919, 0.36195, 0.347092, 0.176937, -0.347669], [-0.560223, 0.282656, 0.550718, 0.415367, 0.499216], [0.178387, -0.404462, -0.016749, 0.102284, 0.434421], [0.184031, -0.452077, -0.302183, 0.405217, 0.116004]], "network.0.bias": [-0.039723, -0.202567, 0.296375, 0.527716, -0.245129, 0.141885], "network.2.weight": [[-0.176602, 0.264181, 0.023618, -0.064754, 0.199578, -0.064837], [-0.269709, 0.088873, -0.108264, 0.452615, 0.403893, -0.082523], [-0.005903, -0.580865, 0.442815, 0.125512, 0.263537, -0.067399], [0.584738, -0.518601, -0.230813, 0.576265, 0.44277, 0.047826], [-0.261338, 0.129672, -0.194721, -0.114778, 0.324452, 0.312047], [0.268379, -0.325385, -0.067536, 0.564241, 0.105422, 0.563047]], "network.2.bias": [0.191244, -0.159801, -0.285495, 0.47591, -0.267488, -0.244918], "network.4.weight": [[-0.232917, 0.24775, 0.120284, 0.504178, 0.408224, 0.401789], [-0.214022, -0.00446, -0.045021, -0.105204, 0.195855, 0.179943], [0.014859, 0.146962, 0.319763, -0.20783, -0.260529, -0.226332], [-0.084187, -0.175776, 0.061719, 0.011253, 0.382023, 0.263089], [-0.161163, 0.273742, -0.307092, -0.131127, -0.381777, -0.117397], [-0.608658, 0.074395, 0.598279, 0.106191, -0.486775, 0.289498]], "network.4.bias": [0.109998, -0.325755, 0.19365, -0.429059, 0.043617, 0.071526], "network.6.weight": [[-0.168516, -0.353733, 0.110078, -0.567129, 0.142595, -0.215958], [0.412484, -0.115203, 0.028, 0.191101, -0.543341, -0.002436], [-0.350627, -0.177508, 0.141585, -0.542738, 0.130872, 0.193804], [0.397345, 0.266211, -0.006873, 0.229254, -0.125871, 0.505496], [0.592609, 0.170044, -0.384994, 0.003877, -0.137914, 0.397676], [0.549206, -0.034047, -0.251945, -0.027491, -0.274084, 0.313733]], "network.6.bias": [0.121316, -0.03661, 0.312438, -0.240402, -0.241307, -0.078353], "network.8.weight": [[0.588047, -0.419824, 0.457027, -0.3994, -0.388447, -0.356325]], "network.8.bias": [0.033478]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6810579895973206, "train_acc": 0.755, "val_loss": 0.6638414263725281, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.656427264213562, "train_acc": 0.56, "val_loss": 0.6356627941131592, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6213429868221283, "train_acc": 0.56, "val_loss": 0.5951355695724487, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5750762224197388, "train_acc": 0.54, "val_loss": 0.5318474769592285, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5142849832773209, "train_acc": 0.81, "val_loss": 0.464995414018631, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4488046020269394, "train_acc": 0.885, "val_loss": 0.4060056209564209, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.39493484795093536, "train_acc": 0.92, "val_loss": 0.35799092054367065, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3468553423881531, "train_acc": 0.93, "val_loss": 0.3190869092941284, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.30903996527194977, "train_acc": 0.945, "val_loss": 0.2875911593437195, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.28445519506931305, "train_acc": 0.95, "val_loss": 0.25869476795196533, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.25204165279865265, "train_acc": 0.95, "val_loss": 0.23018811643123627, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2137489914894104, "train_acc": 0.95, "val_loss": 0.20531250536441803, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.19038475304841995, "train_acc": 0.955, "val_loss": 0.1917182207107544, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6638414263725281, "final_val_loss": 0.5951355695724487, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5318474769592285, "final_val_loss": 0.1917182207107544, "initial_val_acc": 0.76, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 7}, "improvement": 0.41999999999999993, "first_improvement_epoch": 2}}
|
105
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.9, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4632, "learning_rate": 0.04874646437157364, "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: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
0.871749,
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0.789604,
0.437096
],
[
-0.398582,
0.072223,
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-0.680582,
0.091193
]
],
"network.4.bias": [
0.049257,
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0.342023,
0.140465,
0.222717,
-0.087014
],
"network.6.weight": [
[
-0.146143,
0.055454,
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0.002931,
1.003784,
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],
[
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0.677579
],
[
-0.02247,
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0.849513,
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],
[
0.303215,
0.267003,
0.113301,
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0.026039
],
[
0.17391,
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0.10104,
0.455597,
1.096768,
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[
0.077792,
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],
"network.6.bias": [
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0.005412,
0.810603
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[
-0.34004,
1.05768,
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-0.003227,
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0.782481
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],
"network.8.bias": [
0.696973
]
}
## Activation Signature
### 0
fourier: [[25.455857, 25.640326, 26.157680, 26.887792, 27.302391, 34.989758, 36.256733, 40.319706, 45.082233, 89.481795], [31.255717, 32.525579, 33.609971, 34.450142, 34.982748, 39.672704, 45.767996, 54.003231, 54.027816, 157.967276], [29.262429, 29.612311, 30.587191, 31.317312, 31.407554, 34.574281, 36.643781, 39.246837, 45.756978, 121.887875], [35.941868, 36.539982, 37.206532, 38.995810, 43.678895, 43.859045, 49.637378, 52.590587, 62.973727, 351.436180], [27.177293, 27.302946, 29.330603, 30.095886, 32.791933, 33.907506, 35.337033, 35.696273, 37.972344, 104.027898], [33.836885, 35.484346, 35.812307, 36.813196, 40.121304, 43.737313, 46.581743, 57.681064, 61.702699, 169.229952]]
### 2
fourier: [[58.768746, 58.789169, 60.191558, 61.656406, 64.041038, 64.254918, 73.801035, 95.876739, 114.951583, 348.509152], [26.940037, 26.943763, 26.945056, 30.423385, 32.321264, 33.565977, 34.650060, 38.960200, 54.851525, 123.760959], [28.927778, 29.075230, 30.035644, 31.613038, 35.640952, 37.201175, 37.515165, 46.252152, 61.119660, 117.040059], [24.665176, 27.906645, 28.228880, 32.182338, 34.473784, 35.858570, 36.366743, 46.112805, 50.379482, 59.123427], [59.450054, 63.312365, 63.677818, 72.484452, 74.240518, 77.746644, 87.784260, 109.858493, 122.976854, 384.020525], [35.136203, 35.450973, 37.957128, 43.319518, 43.962227, 44.180567, 46.816705, 63.290240, 73.586818, 195.213435]]
### 4
fourier: [[36.832397, 39.095952, 40.999155, 42.259002, 42.848169, 46.617496, 53.803190, 64.376995, 74.250349, 252.117996], [40.034819, 40.836461, 41.649193, 45.487624, 47.151597, 48.168396, 53.072887, 68.506425, 79.973658, 306.354382], [84.241713, 85.361032, 88.684486, 101.987099, 102.290310, 103.773052, 115.589467, 149.706510, 171.964042, 485.189765], [9.097778, 9.686494, 10.766677, 11.648855, 11.941268, 12.150163, 12.531902, 13.294923, 13.359952, 15.509891], [118.635979, 119.993366, 121.021642, 134.727790, 143.701292, 144.348517, 149.086866, 206.557777, 240.184288, 666.321785], [60.708184, 60.872733, 62.699571, 68.653654, 71.800229, 72.064657, 81.759538, 103.627611, 119.703166, 404.472624]]
### 6
fourier: [[114.175724, 120.412135, 121.011124, 135.394097, 139.095700, 143.854083, 147.069473, 204.101099, 236.917464, 654.005711], [36.424479, 37.303806, 38.073209, 42.430250, 43.842988, 44.002319, 46.463813, 63.616595, 74.862646, 135.264653], [95.683980, 101.012494, 101.159991, 113.838482, 117.239505, 120.991891, 122.909812, 171.132896, 199.248982, 546.699663], [25.931266, 27.192894, 27.530143, 30.522594, 31.266645, 32.301760, 33.493360, 46.167374, 53.451605, 180.337224], [127.824619, 132.899417, 135.206826, 149.615775, 153.479170, 157.236444, 164.699984, 226.047435, 262.641671, 759.766675], [29.721906, 31.191306, 31.899699, 35.994064, 37.275114, 37.778282, 38.897261, 53.738480, 62.710444, 104.114055]]
### 8
fourier: [[195.429649, 202.855825, 207.662437, 234.974967, 235.925713, 246.111198, 254.044140, 356.082092, 402.976565, 1005.820259]]
## 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: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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],
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1.123163
],
[
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0.222983,
1.16603
],
[
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],
[
0.582165,
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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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],
[
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1.005049
],
[
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]
],
"network.2.bias": [
0.345064,
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0.06373,
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],
"network.4.weight": [
[
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[
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],
[
-0.185504,
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],
[
0.525597,
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],
[
0.871749,
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0.437096
],
[
-0.398582,
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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"network.6.bias": [
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0.005412,
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"network.8.weight": [
[
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],
"network.8.bias": [
0.696973
]
}
## Activation Signature
### 0
fourier: [[25.455857, 25.640326, 26.157680, 26.887792, 27.302391, 34.989758, 36.256733, 40.319706, 45.082233, 89.481795], [31.255717, 32.525579, 33.609971, 34.450142, 34.982748, 39.672704, 45.767996, 54.003231, 54.027816, 157.967276], [29.262429, 29.612311, 30.587191, 31.317312, 31.407554, 34.574281, 36.643781, 39.246837, 45.756978, 121.887875], [35.941868, 36.539982, 37.206532, 38.995810, 43.678895, 43.859045, 49.637378, 52.590587, 62.973727, 351.436180], [27.177293, 27.302946, 29.330603, 30.095886, 32.791933, 33.907506, 35.337033, 35.696273, 37.972344, 104.027898], [33.836885, 35.484346, 35.812307, 36.813196, 40.121304, 43.737313, 46.581743, 57.681064, 61.702699, 169.229952]]
### 2
fourier: [[58.768746, 58.789169, 60.191558, 61.656406, 64.041038, 64.254918, 73.801035, 95.876739, 114.951583, 348.509152], [26.940037, 26.943763, 26.945056, 30.423385, 32.321264, 33.565977, 34.650060, 38.960200, 54.851525, 123.760959], [28.927778, 29.075230, 30.035644, 31.613038, 35.640952, 37.201175, 37.515165, 46.252152, 61.119660, 117.040059], [24.665176, 27.906645, 28.228880, 32.182338, 34.473784, 35.858570, 36.366743, 46.112805, 50.379482, 59.123427], [59.450054, 63.312365, 63.677818, 72.484452, 74.240518, 77.746644, 87.784260, 109.858493, 122.976854, 384.020525], [35.136203, 35.450973, 37.957128, 43.319518, 43.962227, 44.180567, 46.816705, 63.290240, 73.586818, 195.213435]]
### 4
fourier: [[36.832397, 39.095952, 40.999155, 42.259002, 42.848169, 46.617496, 53.803190, 64.376995, 74.250349, 252.117996], [40.034819, 40.836461, 41.649193, 45.487624, 47.151597, 48.168396, 53.072887, 68.506425, 79.973658, 306.354382], [84.241713, 85.361032, 88.684486, 101.987099, 102.290310, 103.773052, 115.589467, 149.706510, 171.964042, 485.189765], [9.097778, 9.686494, 10.766677, 11.648855, 11.941268, 12.150163, 12.531902, 13.294923, 13.359952, 15.509891], [118.635979, 119.993366, 121.021642, 134.727790, 143.701292, 144.348517, 149.086866, 206.557777, 240.184288, 666.321785], [60.708184, 60.872733, 62.699571, 68.653654, 71.800229, 72.064657, 81.759538, 103.627611, 119.703166, 404.472624]]
### 6
fourier: [[114.175724, 120.412135, 121.011124, 135.394097, 139.095700, 143.854083, 147.069473, 204.101099, 236.917464, 654.005711], [36.424479, 37.303806, 38.073209, 42.430250, 43.842988, 44.002319, 46.463813, 63.616595, 74.862646, 135.264653], [95.683980, 101.012494, 101.159991, 113.838482, 117.239505, 120.991891, 122.909812, 171.132896, 199.248982, 546.699663], [25.931266, 27.192894, 27.530143, 30.522594, 31.266645, 32.301760, 33.493360, 46.167374, 53.451605, 180.337224], [127.824619, 132.899417, 135.206826, 149.615775, 153.479170, 157.236444, 164.699984, 226.047435, 262.641671, 759.766675], [29.721906, 31.191306, 31.899699, 35.994064, 37.275114, 37.778282, 38.897261, 53.738480, 62.710444, 104.114055]]
### 8
fourier: [[195.429649, 202.855825, 207.662437, 234.974967, 235.925713, 246.111198, 254.044140, 356.082092, 402.976565, 1005.820259]]
## 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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"model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "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": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.406934, 0.139114, -0.206662, -0.342277, 0.966877], [0.4754, -0.244314, 0.140598, 0.001007, 1.123163], [-0.458258, -0.02833, -0.116339, 0.222983, 1.16603], [-0.477578, -0.603753, -0.104043, -0.985058, 0.174633], [0.582165, -0.374834, 0.497452, 0.388421, -1.00592], [0.447989, -0.122676, 0.06521, -0.083992, 1.313554]], "network.0.bias": [0.207543, -0.072311, 0.302949, -0.095997, 0.48299, -0.02977], "network.2.weight": [[-0.015399, 0.635526, 0.964644, 0.47455, -0.225515, 0.574816], [-0.729712, 0.305586, -0.354321, -0.005126, 0.212297, -0.378741], [-0.427394, -0.164823, -0.276706, 0.170277, 0.335138, -0.272977], [0.184757, -0.129546, -0.229502, -0.255875, 0.46339, -0.642593], [0.128015, 0.701196, 0.473251, 0.194593, 0.072291, 1.005049], [0.143936, 0.590219, 0.33565, -0.224574, -0.104485, 0.322786]], "network.2.bias": [0.345064, 0.032819, 0.06373, 0.386481, -0.113878, -0.162233], "network.4.weight": [[-0.057657, -0.053031, -0.373547, -0.242788, -0.393323, -0.323155], [-0.307828, 0.038987, -0.275379, -0.109092, -0.33051, -0.084816], [-0.185504, 0.202602, -0.332956, 0.095039, -0.876957, -0.579076], [0.525597, -0.219104, 0.098097, -0.411166, -0.346331, -0.124715], [0.871749, -0.571506, -0.430924, -0.609241, 0.789604, 0.437096], [-0.398582, 0.072223, -0.485703, -0.103976, -0.680582, 0.091193]], "network.4.bias": [0.049257, -0.492618, 0.342023, 0.140465, 0.222717, -0.087014], "network.6.weight": [[-0.146143, 0.055454, -0.23441, 0.002931, 1.003784, -0.169021], [-0.426102, 0.038867, -0.625795, -0.077759, -0.314156, 0.677579], [-0.02247, 0.04382, 0.132629, -0.154179, 0.849513, -0.003239], [0.303215, 0.267003, 0.113301, -0.071504, -0.224016, 0.026039], [0.17391, -0.007357, 0.10104, 0.455597, 1.096768, -0.519085], [0.077792, -0.669782, -0.052901, 0.280378, -0.27548, -0.436809]], "network.6.bias": [-0.279652, 0.919743, -0.266244, -0.294903, 0.005412, 0.810603], "network.8.weight": [[-0.34004, 1.05768, -0.337234, -0.003227, -0.943742, 0.782481]], "network.8.bias": [0.696973]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6882820725440979, "train_acc": 0.57, "val_loss": 0.6801387071609497, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6667946577072144, "train_acc": 0.57, "val_loss": 0.6335607171058655, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6224317848682404, "train_acc": 0.495, "val_loss": 0.5310763716697693, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5187045633792877, "train_acc": 0.605, "val_loss": 0.4544743001461029, "val_acc": 0.62}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4729859530925751, "train_acc": 0.7, "val_loss": 0.3981042504310608, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4318729043006897, "train_acc": 0.81, "val_loss": 0.35003527998924255, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.358022540807724, "train_acc": 0.85, "val_loss": 0.3409065902233124, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3310422897338867, "train_acc": 0.855, "val_loss": 0.3507906198501587, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.30900008976459503, "train_acc": 0.875, "val_loss": 0.3206304907798767, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2950955629348755, "train_acc": 0.89, "val_loss": 0.31790515780448914, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.28196150064468384, "train_acc": 0.88, "val_loss": 0.27477988600730896, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2538915127515793, "train_acc": 0.895, "val_loss": 0.2376103401184082, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6801387071609497, "final_val_loss": 0.6335607171058655, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5310763716697693, "final_val_loss": 0.2376103401184082, "initial_val_acc": 0.52, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 11}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
106
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.46, "improved_accuracy": 0.9, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6215, "learning_rate": 0.02629771032868996, "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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[16.290218, 16.320164, 16.512073, 16.647192, 18.005705, 19.165129, 19.757315, 21.113257, 21.130786, 78.108162], [16.778509, 17.091345, 17.278028, 17.724442, 19.838164, 21.501520, 22.427409, 24.386274, 26.216585, 76.746936], [18.893910, 19.413252, 19.807294, 20.120690, 21.408185, 21.556987, 21.720137, 23.775228, 24.610496, 25.659402], [14.714562, 15.338963, 15.416790, 15.747965, 16.517988, 16.601850, 17.915148, 21.882114, 27.991062, 50.957807], [25.403159, 25.995234, 26.357171, 27.191086, 27.317522, 27.989530, 29.712031, 33.178176, 34.081264, 57.963584]]
### 2
fourier: [[13.118530, 14.173419, 14.767328, 17.022221, 17.541443, 17.989439, 19.621136, 19.837146, 20.190816, 21.798846], [20.591546, 20.966964, 20.997522, 21.902839, 24.310921, 24.352191, 29.791039, 30.480923, 31.296244, 140.937176], [13.565154, 13.758142, 14.163534, 14.185522, 14.317034, 14.350638, 14.813107, 15.123636, 20.099458, 21.864283], [7.146844, 7.279825, 7.415443, 7.493282, 7.797563, 8.851782, 9.363661, 9.974776, 10.009532, 67.618602], [13.853896, 14.279140, 15.631373, 16.140136, 16.172045, 17.678546, 18.514234, 18.843901, 20.033139, 92.723064]]
### 4
fourier: [[15.523414, 15.577794, 16.650843, 16.744951, 18.288078, 18.328085, 22.684307, 23.057761, 23.313502, 93.455121], [24.246601, 24.284932, 25.359908, 26.429239, 27.724692, 31.445282, 34.464948, 35.595356, 38.255845, 191.920633], [2.402123, 2.561177, 2.593533, 2.619601, 2.777430, 2.863401, 3.156520, 3.315845, 3.554214, 49.269501], [17.804330, 18.030211, 18.374840, 19.801583, 20.254392, 23.388670, 25.445447, 26.426630, 27.975427, 132.638740], [9.383858, 9.577806, 10.408471, 11.092826, 12.060425, 12.168405, 12.195136, 12.269166, 13.445228, 16.285719]]
### 6
fourier: [[38.728185, 39.119747, 39.222806, 42.287649, 44.290143, 49.985282, 55.239226, 56.960358, 60.226493, 300.533753], [8.617032, 9.393359, 9.548498, 9.612100, 10.670339, 12.271748, 12.763682, 13.381950, 13.502757, 17.963920], [16.224629, 16.388409, 16.480864, 18.009503, 18.245996, 20.239581, 23.414245, 23.916728, 24.853439, 108.736465], [28.675202, 28.692918, 29.055132, 30.310341, 32.342142, 37.054302, 40.204805, 42.021613, 43.437461, 205.111405], [7.217359, 7.405879, 7.447610, 7.524920, 8.088739, 8.097360, 9.209005, 10.530914, 10.866929, 11.122140]]
### 8
fourier: [[6.867841, 7.137420, 7.539720, 7.665938, 8.250226, 8.351771, 9.814102, 10.321622, 10.762952, 115.300152], [11.202945, 11.341506, 11.376389, 12.466456, 13.059395, 14.295073, 16.411364, 17.031530, 17.625777, 86.171408], [28.260784, 28.617986, 28.998085, 29.468092, 33.185568, 37.270609, 39.860993, 42.538594, 43.471119, 185.221443], [51.538044, 51.632844, 52.192406, 54.772095, 59.668431, 66.727671, 73.166915, 76.701248, 79.364680, 354.660083], [17.767491, 17.944998, 18.031177, 18.971247, 20.467826, 23.150938, 25.115887, 26.179275, 27.386547, 158.870083]]
### 10
fourier: [[29.419714, 29.743506, 30.141765, 31.699922, 35.329752, 37.788408, 42.939827, 45.639628, 46.472491, 210.350471], [51.549321, 52.114983, 52.814173, 55.579649, 61.846312, 66.214820, 75.232456, 79.869851, 81.423189, 365.965061], [7.796147, 7.879688, 7.986943, 8.447886, 9.281887, 10.015990, 11.369126, 11.957050, 12.306380, 65.847080], [14.619502, 14.782403, 14.978632, 15.711580, 17.624749, 18.775786, 21.345801, 22.796387, 23.100373, 91.565024], [12.204789, 12.336410, 12.503717, 13.207276, 14.561093, 15.679234, 17.802096, 18.770563, 19.268931, 92.129282]]
### 12
fourier: [[47.195272, 47.684359, 48.330721, 50.899792, 56.605120, 60.559261, 68.844552, 73.322428, 74.618096, 336.775329]]
## 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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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0.210478,
0.256686
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[
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0.146951,
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],
[
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## Activation Signature
### 0
fourier: [[16.290218, 16.320164, 16.512073, 16.647192, 18.005705, 19.165129, 19.757315, 21.113257, 21.130786, 78.108162], [16.778509, 17.091345, 17.278028, 17.724442, 19.838164, 21.501520, 22.427409, 24.386274, 26.216585, 76.746936], [18.893910, 19.413252, 19.807294, 20.120690, 21.408185, 21.556987, 21.720137, 23.775228, 24.610496, 25.659402], [14.714562, 15.338963, 15.416790, 15.747965, 16.517988, 16.601850, 17.915148, 21.882114, 27.991062, 50.957807], [25.403159, 25.995234, 26.357171, 27.191086, 27.317522, 27.989530, 29.712031, 33.178176, 34.081264, 57.963584]]
### 2
fourier: [[13.118530, 14.173419, 14.767328, 17.022221, 17.541443, 17.989439, 19.621136, 19.837146, 20.190816, 21.798846], [20.591546, 20.966964, 20.997522, 21.902839, 24.310921, 24.352191, 29.791039, 30.480923, 31.296244, 140.937176], [13.565154, 13.758142, 14.163534, 14.185522, 14.317034, 14.350638, 14.813107, 15.123636, 20.099458, 21.864283], [7.146844, 7.279825, 7.415443, 7.493282, 7.797563, 8.851782, 9.363661, 9.974776, 10.009532, 67.618602], [13.853896, 14.279140, 15.631373, 16.140136, 16.172045, 17.678546, 18.514234, 18.843901, 20.033139, 92.723064]]
### 4
fourier: [[15.523414, 15.577794, 16.650843, 16.744951, 18.288078, 18.328085, 22.684307, 23.057761, 23.313502, 93.455121], [24.246601, 24.284932, 25.359908, 26.429239, 27.724692, 31.445282, 34.464948, 35.595356, 38.255845, 191.920633], [2.402123, 2.561177, 2.593533, 2.619601, 2.777430, 2.863401, 3.156520, 3.315845, 3.554214, 49.269501], [17.804330, 18.030211, 18.374840, 19.801583, 20.254392, 23.388670, 25.445447, 26.426630, 27.975427, 132.638740], [9.383858, 9.577806, 10.408471, 11.092826, 12.060425, 12.168405, 12.195136, 12.269166, 13.445228, 16.285719]]
### 6
fourier: [[38.728185, 39.119747, 39.222806, 42.287649, 44.290143, 49.985282, 55.239226, 56.960358, 60.226493, 300.533753], [8.617032, 9.393359, 9.548498, 9.612100, 10.670339, 12.271748, 12.763682, 13.381950, 13.502757, 17.963920], [16.224629, 16.388409, 16.480864, 18.009503, 18.245996, 20.239581, 23.414245, 23.916728, 24.853439, 108.736465], [28.675202, 28.692918, 29.055132, 30.310341, 32.342142, 37.054302, 40.204805, 42.021613, 43.437461, 205.111405], [7.217359, 7.405879, 7.447610, 7.524920, 8.088739, 8.097360, 9.209005, 10.530914, 10.866929, 11.122140]]
### 8
fourier: [[6.867841, 7.137420, 7.539720, 7.665938, 8.250226, 8.351771, 9.814102, 10.321622, 10.762952, 115.300152], [11.202945, 11.341506, 11.376389, 12.466456, 13.059395, 14.295073, 16.411364, 17.031530, 17.625777, 86.171408], [28.260784, 28.617986, 28.998085, 29.468092, 33.185568, 37.270609, 39.860993, 42.538594, 43.471119, 185.221443], [51.538044, 51.632844, 52.192406, 54.772095, 59.668431, 66.727671, 73.166915, 76.701248, 79.364680, 354.660083], [17.767491, 17.944998, 18.031177, 18.971247, 20.467826, 23.150938, 25.115887, 26.179275, 27.386547, 158.870083]]
### 10
fourier: [[29.419714, 29.743506, 30.141765, 31.699922, 35.329752, 37.788408, 42.939827, 45.639628, 46.472491, 210.350471], [51.549321, 52.114983, 52.814173, 55.579649, 61.846312, 66.214820, 75.232456, 79.869851, 81.423189, 365.965061], [7.796147, 7.879688, 7.986943, 8.447886, 9.281887, 10.015990, 11.369126, 11.957050, 12.306380, 65.847080], [14.619502, 14.782403, 14.978632, 15.711580, 17.624749, 18.775786, 21.345801, 22.796387, 23.100373, 91.565024], [12.204789, 12.336410, 12.503717, 13.207276, 14.561093, 15.679234, 17.802096, 18.770563, 19.268931, 92.129282]]
### 12
fourier: [[47.195272, 47.684359, 48.330721, 50.899792, 56.605120, 60.559261, 68.844552, 73.322428, 74.618096, 336.775329]]
## 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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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.351035, -0.315494, -0.111271, 0.42876, 0.279475], [-0.115825, -0.076756, -0.559283, 0.210478, 0.256686], [-0.330708, 0.583187, 0.146951, -0.049072, -0.484203], [0.339606, 0.316131, -0.200405, 0.192274, -0.288519], [0.622777, 0.392405, -0.121053, -0.350234, 0.397499]], "network.0.bias": [-0.025779, -0.168397, -0.051765, -0.07034, -0.332347], "network.2.weight": [[-0.33086, -0.392792, 0.264779, 0.180334, -0.548756], [0.642512, 0.549303, -0.024856, 0.060992, 0.724325], [0.59639, 0.531613, -0.194048, 0.140107, -0.647417], [0.007391, -0.024927, -0.323849, -0.18521, -0.170666], [0.339014, -0.210447, 0.037789, 0.094218, 0.540514]], "network.2.bias": [0.429142, 0.050481, 0.138066, -0.228064, 0.075884], "network.4.weight": [[0.034142, 0.68819, -0.026018, -0.115936, 0.118188], [-0.531099, 0.584939, 0.41991, -0.323106, 0.763894], [-0.430035, -0.272406, -0.08663, 0.444244, 0.232535], [-0.49808, 0.576373, 0.16298, 0.244548, 0.319404], [0.391624, -0.252178, -0.537579, -0.087977, -0.128999]], "network.4.bias": [-0.159219, 0.393778, -0.190442, 0.316257, 0.630324], "network.6.weight": [[0.332449, 0.751465, -0.221859, 0.803726, -0.319619], [-0.178952, -0.026111, 0.193417, -0.177845, 0.658124], [0.529538, 0.181933, -0.265461, 0.18492, -0.126736], [0.578627, 0.46794, 0.174396, 0.315628, -0.707772], [-0.322303, -0.178435, 0.277358, 0.136641, 0.145236]], "network.6.bias": [0.29093, 0.507312, 0.023875, 0.416103, 0.506942], "network.8.weight": [[0.029926, -0.145208, -0.223461, -0.223845, -0.401542], [-0.043344, -0.194885, -0.211549, -0.21899, 0.40167], [0.371595, -0.564977, 0.394501, 0.144167, -0.316418], [0.59011, -0.433535, 0.434982, 0.668656, -0.317801], [-0.407848, 0.30413, -0.14798, 0.04938, -0.180791]], "network.8.bias": [-0.436807, -0.073652, 0.313105, 0.158907, -0.414312], "network.10.weight": [[0.255793, -0.51117, 0.417053, 0.370135, 0.145819], [-0.441468, -0.317517, 0.626918, 0.704025, -0.102718], [0.092332, -0.299169, 0.031537, -0.173963, 0.126315], [0.443246, -0.313819, -0.328676, -0.119061, 0.121425], [0.167197, -0.36978, -0.004184, -0.243733, -0.119388]], "network.10.bias": [-0.033876, -0.088382, -0.103316, 0.160861, -0.040018], "network.12.weight": [[-0.319837, -0.735559, 0.1143, 0.221396, 0.429594]], "network.12.bias": [0.005188]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6789404153823853, "train_acc": 0.595, "val_loss": 0.7216507792472839, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6785475611686707, "train_acc": 0.595, "val_loss": 0.7320584058761597, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6717345118522644, "train_acc": 0.595, "val_loss": 0.724271297454834, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6638848185539246, "train_acc": 0.595, "val_loss": 0.7023606896400452, "val_acc": 0.46}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6514805257320404, "train_acc": 0.595, "val_loss": 0.6689649224281311, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6283502578735352, "train_acc": 0.51, "val_loss": 0.5976548790931702, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5491211116313934, "train_acc": 0.51, "val_loss": 0.5445795655250549, "val_acc": 0.46}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.47955842316150665, "train_acc": 0.51, "val_loss": 0.5284569263458252, "val_acc": 0.46}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4297371655702591, "train_acc": 0.64, "val_loss": 0.5420204997062683, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.43763840198516846, "train_acc": 0.905, "val_loss": 0.5252568125724792, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3848355859518051, "train_acc": 0.935, "val_loss": 0.47322285175323486, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.37708815932273865, "train_acc": 0.915, "val_loss": 0.4741908311843872, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.35433340072631836, "train_acc": 0.925, "val_loss": 0.4819824695587158, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.3467036336660385, "train_acc": 0.925, "val_loss": 0.4513110816478729, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.31216615438461304, "train_acc": 0.93, "val_loss": 0.41838493943214417, "val_acc": 0.84}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7216507792472839, "final_val_loss": 0.6689649224281311, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5976548790931702, "final_val_loss": 0.41838493943214417, "initial_val_acc": 0.46, "final_val_acc": 0.84, "best_val_acc": 0.9, "best_epoch": 8}, "improvement": 0.44, "first_improvement_epoch": 4}}
|
107
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.52, "improved_accuracy": 0.86, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9370, "learning_rate": 0.07753878097600657, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[13.344385, 13.375490, 14.398224, 14.685059, 14.755523, 14.885751, 15.156578, 15.485859, 16.615126, 125.655356], [34.480895, 35.104790, 36.779642, 39.411614, 43.432292, 43.466443, 43.945129, 46.417220, 48.409539, 60.827706], [30.278779, 31.291246, 31.851114, 32.542283, 34.119659, 34.469726, 35.542645, 36.725932, 38.338517, 217.529027], [35.429007, 36.024104, 37.380386, 37.394102, 38.590878, 39.539074, 41.280593, 45.865396, 46.945450, 212.113365], [35.900191, 37.597666, 37.735654, 42.070177, 42.614088, 44.960843, 45.629080, 49.627137, 52.684686, 209.062574]]
### 2
fourier: [[17.074457, 17.515969, 17.984976, 19.714360, 20.559132, 21.079655, 21.219043, 23.026497, 23.197089, 138.986509], [64.631863, 67.525116, 68.361864, 71.618281, 72.461294, 77.301460, 80.038494, 80.533721, 80.535646, 392.498575], [31.868913, 33.340909, 34.142860, 36.892408, 38.689516, 40.356224, 40.725299, 41.157090, 42.666728, 204.063059], [7.019513, 7.383768, 7.822875, 7.965717, 8.493765, 9.096927, 9.360902, 10.855801, 11.102486, 41.490527], [14.025833, 14.296365, 14.513252, 14.719667, 15.006951, 15.549270, 16.026698, 16.279883, 19.889939, 133.803019]]
### 4
fourier: [[32.673727, 33.060893, 34.218771, 34.728931, 35.007730, 40.143416, 40.602715, 41.109098, 41.135364, 309.719545], [84.857467, 85.718208, 88.491407, 90.922605, 91.265949, 104.286554, 105.786519, 106.762561, 107.084071, 641.350978], [54.611066, 58.307343, 58.680013, 60.457166, 63.780705, 68.132173, 69.005084, 70.088545, 70.183461, 394.876991], [18.446196, 18.811721, 18.857508, 19.399013, 20.083160, 22.646987, 22.770640, 22.885541, 22.932089, 112.298220], [31.855251, 36.253916, 36.376255, 38.012770, 39.186827, 40.380843, 41.356077, 42.108731, 42.745573, 200.335065]]
### 6
fourier: [[51.942458, 54.940569, 55.258174, 57.108403, 60.386069, 65.167159, 65.301334, 65.798387, 66.475114, 361.683083], [62.715795, 65.733099, 65.926262, 68.233377, 73.108707, 78.229873, 79.151863, 79.281057, 79.863062, 420.306985], [27.481915, 28.771325, 28.907795, 29.982221, 32.335757, 34.293887, 34.874414, 34.947585, 35.066882, 177.335865], [13.967418, 15.019610, 15.309611, 15.904255, 16.567774, 17.593376, 17.715238, 18.152784, 18.176292, 188.275587], [37.701397, 39.889766, 40.229228, 41.573092, 44.172894, 47.445075, 47.675745, 47.807686, 48.402313, 224.535208]]
### 8
fourier: [[37.430519, 39.130646, 39.669683, 40.827449, 43.094266, 46.626222, 46.776644, 47.046545, 47.635542, 244.961102], [116.320489, 120.846573, 121.462567, 125.554103, 134.196091, 145.053497, 145.320596, 145.586313, 147.277064, 678.788934], [62.205128, 64.445224, 64.798952, 67.097883, 71.914976, 77.618415, 77.774828, 77.904439, 78.778315, 421.228664], [85.492297, 88.311611, 88.941852, 91.929972, 98.325748, 106.322009, 106.669539, 106.695761, 108.026573, 512.397647], [54.294895, 56.505162, 57.133393, 59.057921, 62.875975, 67.906914, 67.987484, 68.184393, 69.052655, 374.104665]]
### 10
fourier: [[50.925955, 57.552389, 57.958654, 59.103446, 60.133334, 63.315583, 64.434763, 66.104976, 66.919966, 307.177758], [20.800042, 24.152725, 24.548890, 24.715339, 24.806313, 25.049582, 25.748648, 26.919464, 27.329587, 71.756978], [61.458543, 68.478630, 68.706285, 70.245218, 72.595870, 77.515401, 78.553603, 79.303865, 80.738928, 368.021118], [39.396482, 46.581235, 47.011076, 47.101090, 47.546182, 47.641397, 48.673686, 51.934440, 52.061270, 242.875625], [6.762855, 7.045153, 7.086766, 7.141782, 7.727520, 7.929492, 8.365842, 8.367903, 8.612345, 9.090102]]
### 12
fourier: [[18.455602, 21.938454, 22.102182, 22.261495, 22.950773, 23.116448, 23.152628, 24.570388, 24.926875, 63.996424]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.51251
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-0.303824,
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0.294824
],
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0.918451,
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0.048072
],
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-0.069854,
-0.713459,
-0.480791,
0.122825,
-0.332688
]
],
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0.017629,
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0.61514,
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-0.733742,
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],
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}
## Activation Signature
### 0
fourier: [[13.344385, 13.375490, 14.398224, 14.685059, 14.755523, 14.885751, 15.156578, 15.485859, 16.615126, 125.655356], [34.480895, 35.104790, 36.779642, 39.411614, 43.432292, 43.466443, 43.945129, 46.417220, 48.409539, 60.827706], [30.278779, 31.291246, 31.851114, 32.542283, 34.119659, 34.469726, 35.542645, 36.725932, 38.338517, 217.529027], [35.429007, 36.024104, 37.380386, 37.394102, 38.590878, 39.539074, 41.280593, 45.865396, 46.945450, 212.113365], [35.900191, 37.597666, 37.735654, 42.070177, 42.614088, 44.960843, 45.629080, 49.627137, 52.684686, 209.062574]]
### 2
fourier: [[17.074457, 17.515969, 17.984976, 19.714360, 20.559132, 21.079655, 21.219043, 23.026497, 23.197089, 138.986509], [64.631863, 67.525116, 68.361864, 71.618281, 72.461294, 77.301460, 80.038494, 80.533721, 80.535646, 392.498575], [31.868913, 33.340909, 34.142860, 36.892408, 38.689516, 40.356224, 40.725299, 41.157090, 42.666728, 204.063059], [7.019513, 7.383768, 7.822875, 7.965717, 8.493765, 9.096927, 9.360902, 10.855801, 11.102486, 41.490527], [14.025833, 14.296365, 14.513252, 14.719667, 15.006951, 15.549270, 16.026698, 16.279883, 19.889939, 133.803019]]
### 4
fourier: [[32.673727, 33.060893, 34.218771, 34.728931, 35.007730, 40.143416, 40.602715, 41.109098, 41.135364, 309.719545], [84.857467, 85.718208, 88.491407, 90.922605, 91.265949, 104.286554, 105.786519, 106.762561, 107.084071, 641.350978], [54.611066, 58.307343, 58.680013, 60.457166, 63.780705, 68.132173, 69.005084, 70.088545, 70.183461, 394.876991], [18.446196, 18.811721, 18.857508, 19.399013, 20.083160, 22.646987, 22.770640, 22.885541, 22.932089, 112.298220], [31.855251, 36.253916, 36.376255, 38.012770, 39.186827, 40.380843, 41.356077, 42.108731, 42.745573, 200.335065]]
### 6
fourier: [[51.942458, 54.940569, 55.258174, 57.108403, 60.386069, 65.167159, 65.301334, 65.798387, 66.475114, 361.683083], [62.715795, 65.733099, 65.926262, 68.233377, 73.108707, 78.229873, 79.151863, 79.281057, 79.863062, 420.306985], [27.481915, 28.771325, 28.907795, 29.982221, 32.335757, 34.293887, 34.874414, 34.947585, 35.066882, 177.335865], [13.967418, 15.019610, 15.309611, 15.904255, 16.567774, 17.593376, 17.715238, 18.152784, 18.176292, 188.275587], [37.701397, 39.889766, 40.229228, 41.573092, 44.172894, 47.445075, 47.675745, 47.807686, 48.402313, 224.535208]]
### 8
fourier: [[37.430519, 39.130646, 39.669683, 40.827449, 43.094266, 46.626222, 46.776644, 47.046545, 47.635542, 244.961102], [116.320489, 120.846573, 121.462567, 125.554103, 134.196091, 145.053497, 145.320596, 145.586313, 147.277064, 678.788934], [62.205128, 64.445224, 64.798952, 67.097883, 71.914976, 77.618415, 77.774828, 77.904439, 78.778315, 421.228664], [85.492297, 88.311611, 88.941852, 91.929972, 98.325748, 106.322009, 106.669539, 106.695761, 108.026573, 512.397647], [54.294895, 56.505162, 57.133393, 59.057921, 62.875975, 67.906914, 67.987484, 68.184393, 69.052655, 374.104665]]
### 10
fourier: [[50.925955, 57.552389, 57.958654, 59.103446, 60.133334, 63.315583, 64.434763, 66.104976, 66.919966, 307.177758], [20.800042, 24.152725, 24.548890, 24.715339, 24.806313, 25.049582, 25.748648, 26.919464, 27.329587, 71.756978], [61.458543, 68.478630, 68.706285, 70.245218, 72.595870, 77.515401, 78.553603, 79.303865, 80.738928, 368.021118], [39.396482, 46.581235, 47.011076, 47.101090, 47.546182, 47.641397, 48.673686, 51.934440, 52.061270, 242.875625], [6.762855, 7.045153, 7.086766, 7.141782, 7.727520, 7.929492, 8.365842, 8.367903, 8.612345, 9.090102]]
### 12
fourier: [[18.455602, 21.938454, 22.102182, 22.261495, 22.950773, 23.116448, 23.152628, 24.570388, 24.926875, 63.996424]]
## 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": 0.6825801730155945, "train_acc": 0.58, "val_loss": 0.7125394940376282, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6851667761802673, "train_acc": 0.58, "val_loss": 0.7018678188323975, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6739009320735931, "train_acc": 0.58, "val_loss": 0.6871804594993591, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6565848588943481, "train_acc": 0.58, "val_loss": 0.6172711253166199, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5905081629753113, "train_acc": 0.61, "val_loss": 0.4336268901824951, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.546035647392273, "train_acc": 0.78, "val_loss": 0.5044733285903931, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5626102983951569, "train_acc": 0.705, "val_loss": 0.40044745802879333, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4509415030479431, "train_acc": 0.82, "val_loss": 0.5575264692306519, "val_acc": 0.68}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4659370481967926, "train_acc": 0.815, "val_loss": 0.42684391140937805, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.45420539379119873, "train_acc": 0.835, "val_loss": 0.45283034443855286, "val_acc": 0.86}], "summary": {"total_epochs": 10, "degraded_epochs": 4, "improved_epochs": 6, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7125394940376282, "final_val_loss": 0.6172711253166199, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.4336268901824951, "final_val_loss": 0.45283034443855286, "initial_val_acc": 0.82, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 8}, "improvement": 0.33999999999999997, "first_improvement_epoch": 3}}
|
108
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5841, "learning_rate": 0.08035630298006999, "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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[19.087160, 19.960654, 20.461273, 20.626854, 21.393278, 21.611512, 22.137418, 26.877328, 28.397087, 210.352843], [20.668195, 20.853142, 22.396296, 26.209344, 26.747247, 28.539718, 29.457042, 29.953899, 32.436374, 83.601515], [23.088937, 26.182702, 26.772716, 27.063828, 29.248424, 29.745395, 30.419395, 33.696049, 39.101105, 109.199875], [19.248678, 19.483642, 21.887597, 22.633890, 23.621405, 24.477001, 24.649983, 26.795254, 27.231389, 112.227797], [26.387221, 27.446318, 27.572395, 28.622813, 29.039614, 33.047337, 33.840659, 35.185527, 36.062601, 119.733265], [17.030150, 19.401730, 19.743496, 20.053744, 21.434419, 24.432915, 25.715111, 26.864707, 28.355209, 55.424682]]
### 2
fourier: [[27.918755, 32.286271, 35.891607, 36.435921, 37.362441, 37.380477, 45.862417, 46.331483, 47.539219, 77.398854], [21.368068, 21.550095, 23.870633, 23.907183, 24.760454, 25.727753, 26.570134, 26.677403, 26.717971, 41.853808], [19.186879, 19.330945, 19.543313, 19.861436, 20.739162, 22.485326, 22.722972, 24.395299, 24.884054, 26.206266], [29.371916, 29.809225, 35.052881, 35.878689, 38.619325, 38.678061, 43.085165, 43.728589, 46.786302, 131.967233], [38.877598, 39.399118, 42.465133, 43.712221, 44.417106, 49.541623, 52.599133, 54.314194, 54.339871, 173.768081], [19.678642, 19.778302, 20.539229, 20.645755, 21.213131, 21.887002, 23.448406, 26.070482, 26.193759, 30.669774]]
### 4
fourier: [[41.857075, 43.749675, 43.752897, 46.185271, 47.481179, 47.707436, 54.707909, 58.371181, 60.908114, 323.440856], [39.695784, 44.865029, 46.436982, 48.150575, 49.302435, 51.557297, 53.723969, 57.108155, 59.505686, 259.646959], [26.578847, 26.886301, 30.270386, 30.746599, 32.428720, 35.229235, 36.617713, 37.212209, 40.160493, 150.056592], [16.607037, 17.205167, 17.792902, 21.161683, 21.833930, 22.704494, 25.150830, 26.399749, 28.976725, 40.980777], [18.075703, 19.460959, 22.232339, 22.559667, 22.964518, 26.591820, 28.306793, 28.746201, 29.012703, 96.225019], [34.347815, 37.175484, 39.717484, 41.954611, 43.045465, 48.557993, 48.693234, 49.194683, 52.931822, 225.406615]]
### 6
fourier: [[60.413645, 63.234046, 66.574438, 71.424465, 72.417814, 81.279943, 82.015935, 83.687854, 92.538064, 306.858473], [17.121003, 17.278416, 19.915224, 21.537425, 21.675218, 22.313211, 23.404386, 23.582540, 26.027735, 223.622642], [27.573233, 29.209655, 30.646719, 31.207005, 33.098421, 33.606282, 37.083368, 39.402224, 40.785623, 168.383426], [25.629411, 26.777141, 27.106595, 27.473999, 28.500720, 28.773653, 33.497975, 35.332238, 37.024004, 169.965600], [26.971759, 28.505251, 28.544606, 29.123571, 31.846799, 32.182601, 35.952362, 37.899915, 39.637238, 194.375640], [66.472354, 72.534048, 72.677974, 77.771084, 79.348400, 81.151378, 90.213056, 97.860549, 99.214811, 546.134690]]
### 8
fourier: [[39.545153, 44.071248, 47.001130, 47.538058, 47.985915, 53.443491, 56.491417, 57.518160, 62.452362, 217.429040], [31.457808, 33.716591, 34.285081, 37.746162, 38.063864, 40.151597, 44.111524, 46.376120, 47.169599, 268.660941], [60.125947, 62.173356, 67.207991, 67.402035, 70.851585, 75.501286, 80.567226, 80.732049, 88.783763, 278.781893], [49.808126, 52.893374, 53.271060, 53.786583, 57.375386, 58.189583, 65.365907, 68.945657, 72.430871, 410.521264], [75.635564, 79.976550, 80.357551, 86.705711, 86.776486, 88.862134, 100.405044, 108.370435, 108.524923, 592.208725], [13.323489, 13.386577, 13.546109, 13.633258, 14.118616, 14.973791, 15.726074, 17.693724, 19.908029, 174.961742]]
### 10
fourier: [[78.853389, 82.186819, 84.941787, 91.456343, 92.460390, 95.672254, 107.592417, 113.756974, 114.021834, 589.827903], [72.422989, 75.531639, 76.817293, 84.063139, 85.023544, 85.669816, 97.989163, 103.741669, 104.461779, 540.002323], [119.630259, 123.086432, 125.694841, 138.724820, 139.003217, 141.271616, 161.689226, 170.213181, 170.687958, 792.077920], [21.735007, 23.128314, 23.463547, 23.836851, 24.354800, 25.382802, 28.823269, 29.736053, 31.769506, 155.431705], [65.941538, 66.812072, 72.185152, 76.636839, 76.788709, 84.714396, 91.826351, 92.914042, 96.180300, 385.993442], [25.087185, 25.093887, 27.163662, 28.152651, 28.862350, 30.595129, 33.683688, 34.728090, 36.066185, 133.944048]]
### 12
fourier: [[74.628362, 76.196634, 79.696248, 85.716499, 87.453907, 92.972021, 103.012110, 107.069819, 107.389336, 474.474515]]
## 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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[19.087160, 19.960654, 20.461273, 20.626854, 21.393278, 21.611512, 22.137418, 26.877328, 28.397087, 210.352843], [20.668195, 20.853142, 22.396296, 26.209344, 26.747247, 28.539718, 29.457042, 29.953899, 32.436374, 83.601515], [23.088937, 26.182702, 26.772716, 27.063828, 29.248424, 29.745395, 30.419395, 33.696049, 39.101105, 109.199875], [19.248678, 19.483642, 21.887597, 22.633890, 23.621405, 24.477001, 24.649983, 26.795254, 27.231389, 112.227797], [26.387221, 27.446318, 27.572395, 28.622813, 29.039614, 33.047337, 33.840659, 35.185527, 36.062601, 119.733265], [17.030150, 19.401730, 19.743496, 20.053744, 21.434419, 24.432915, 25.715111, 26.864707, 28.355209, 55.424682]]
### 2
fourier: [[27.918755, 32.286271, 35.891607, 36.435921, 37.362441, 37.380477, 45.862417, 46.331483, 47.539219, 77.398854], [21.368068, 21.550095, 23.870633, 23.907183, 24.760454, 25.727753, 26.570134, 26.677403, 26.717971, 41.853808], [19.186879, 19.330945, 19.543313, 19.861436, 20.739162, 22.485326, 22.722972, 24.395299, 24.884054, 26.206266], [29.371916, 29.809225, 35.052881, 35.878689, 38.619325, 38.678061, 43.085165, 43.728589, 46.786302, 131.967233], [38.877598, 39.399118, 42.465133, 43.712221, 44.417106, 49.541623, 52.599133, 54.314194, 54.339871, 173.768081], [19.678642, 19.778302, 20.539229, 20.645755, 21.213131, 21.887002, 23.448406, 26.070482, 26.193759, 30.669774]]
### 4
fourier: [[41.857075, 43.749675, 43.752897, 46.185271, 47.481179, 47.707436, 54.707909, 58.371181, 60.908114, 323.440856], [39.695784, 44.865029, 46.436982, 48.150575, 49.302435, 51.557297, 53.723969, 57.108155, 59.505686, 259.646959], [26.578847, 26.886301, 30.270386, 30.746599, 32.428720, 35.229235, 36.617713, 37.212209, 40.160493, 150.056592], [16.607037, 17.205167, 17.792902, 21.161683, 21.833930, 22.704494, 25.150830, 26.399749, 28.976725, 40.980777], [18.075703, 19.460959, 22.232339, 22.559667, 22.964518, 26.591820, 28.306793, 28.746201, 29.012703, 96.225019], [34.347815, 37.175484, 39.717484, 41.954611, 43.045465, 48.557993, 48.693234, 49.194683, 52.931822, 225.406615]]
### 6
fourier: [[60.413645, 63.234046, 66.574438, 71.424465, 72.417814, 81.279943, 82.015935, 83.687854, 92.538064, 306.858473], [17.121003, 17.278416, 19.915224, 21.537425, 21.675218, 22.313211, 23.404386, 23.582540, 26.027735, 223.622642], [27.573233, 29.209655, 30.646719, 31.207005, 33.098421, 33.606282, 37.083368, 39.402224, 40.785623, 168.383426], [25.629411, 26.777141, 27.106595, 27.473999, 28.500720, 28.773653, 33.497975, 35.332238, 37.024004, 169.965600], [26.971759, 28.505251, 28.544606, 29.123571, 31.846799, 32.182601, 35.952362, 37.899915, 39.637238, 194.375640], [66.472354, 72.534048, 72.677974, 77.771084, 79.348400, 81.151378, 90.213056, 97.860549, 99.214811, 546.134690]]
### 8
fourier: [[39.545153, 44.071248, 47.001130, 47.538058, 47.985915, 53.443491, 56.491417, 57.518160, 62.452362, 217.429040], [31.457808, 33.716591, 34.285081, 37.746162, 38.063864, 40.151597, 44.111524, 46.376120, 47.169599, 268.660941], [60.125947, 62.173356, 67.207991, 67.402035, 70.851585, 75.501286, 80.567226, 80.732049, 88.783763, 278.781893], [49.808126, 52.893374, 53.271060, 53.786583, 57.375386, 58.189583, 65.365907, 68.945657, 72.430871, 410.521264], [75.635564, 79.976550, 80.357551, 86.705711, 86.776486, 88.862134, 100.405044, 108.370435, 108.524923, 592.208725], [13.323489, 13.386577, 13.546109, 13.633258, 14.118616, 14.973791, 15.726074, 17.693724, 19.908029, 174.961742]]
### 10
fourier: [[78.853389, 82.186819, 84.941787, 91.456343, 92.460390, 95.672254, 107.592417, 113.756974, 114.021834, 589.827903], [72.422989, 75.531639, 76.817293, 84.063139, 85.023544, 85.669816, 97.989163, 103.741669, 104.461779, 540.002323], [119.630259, 123.086432, 125.694841, 138.724820, 139.003217, 141.271616, 161.689226, 170.213181, 170.687958, 792.077920], [21.735007, 23.128314, 23.463547, 23.836851, 24.354800, 25.382802, 28.823269, 29.736053, 31.769506, 155.431705], [65.941538, 66.812072, 72.185152, 76.636839, 76.788709, 84.714396, 91.826351, 92.914042, 96.180300, 385.993442], [25.087185, 25.093887, 27.163662, 28.152651, 28.862350, 30.595129, 33.683688, 34.728090, 36.066185, 133.944048]]
### 12
fourier: [[74.628362, 76.196634, 79.696248, 85.716499, 87.453907, 92.972021, 103.012110, 107.069819, 107.389336, 474.474515]]
## 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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[65.94153838335934, 66.81207155391834, 72.18515178412001, 76.63683892594159, 76.78870880508276, 84.71439628182367, 91.82635135271147, 92.91404162634232, 96.1802998212754, 385.99344167113304]}, "5": {"fourier": [25.087185098542182, 25.09388660239634, 27.163661873837512, 28.152651238791172, 28.862349619467647, 30.59512901551544, 33.68368799388007, 34.72809045250522, 36.06618505171732, 133.94404762983322]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [74.62836180657786, 76.19663415012666, 79.69624778245931, 85.71649864021472, 87.45390704355604, 92.97202092492708, 103.01211020572978, 107.06981884298004, 107.3893359306266, 474.4745153337717]}}, "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": 6, "activation_type": "gelu", "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": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.382969, 0.193435, 0.581277, 0.015996, 0.413483], [0.621795, 0.254583, -0.016543, -0.412385, 0.213482], [0.887142, -0.192723, 0.06811, 0.130255, -0.034282], [-0.398419, 0.048866, -0.083098, 0.490798, 0.461128], [-0.806515, -0.003312, 0.611772, 0.389462, 0.309172], [0.010425, -0.19532, 0.691907, -0.216972, -0.007292]], "network.0.bias": [0.702868, 0.346808, 0.081199, 0.206109, -0.154348, -0.012268], "network.2.weight": [[-0.171132, 0.30991, 0.55354, -0.575429, -0.436715, -0.252089], [-0.18554, 0.109749, 0.237727, 0.662345, -0.480772, -0.673524], [0.118493, 0.067897, -0.005394, 0.635482, -0.637996, -0.667498], [0.28661, -0.330133, -0.586306, 0.395245, 0.384677, 0.43945], [0.174365, -0.527475, -0.318318, 0.352127, 0.990733, 0.21232], [0.276921, 0.538107, 0.226984, -0.256959, -0.156295, -0.684136]], "network.2.bias": [0.19092, -0.021582, 0.08068, 0.384437, 0.271581, -0.021071], "network.4.weight": [[-0.041961, 0.499465, 0.788178, 0.547089, 0.973481, 0.102714], [0.036488, 0.379383, -0.096144, -0.552633, -0.88843, 0.160234], [-0.29097, 0.275257, 0.108588, 0.670936, 0.308581, 0.013921], [0.606519, 0.222196, 0.080391, -0.276404, 0.12312, 0.445518], [0.702898, -0.025671, -1.044955, 0.412828, -0.290693, 0.547239], [-0.322461, -0.031155, 0.183701, 0.52194, 0.577376, -0.321864]], "network.4.bias": [-0.058181, 0.076025, -0.233584, -0.012163, 0.492519, 0.508084], "network.6.weight": [[-0.692207, -0.096849, -0.282313, 0.334292, 0.472519, -0.498633], [0.164244, 0.041023, 0.169382, 0.521526, 0.528186, 0.2252], [0.358468, 0.320132, 0.077882, -0.320651, 0.114669, 0.301021], [0.688847, 0.208052, 0.120445, -0.009562, -0.013793, -0.198372], [0.563502, -0.603528, 0.243227, -0.026312, 0.301075, -0.005462], [0.722742, -0.710804, 0.464961, 0.228043, 0.033503, 0.890794]], "network.6.bias": [0.238897, 0.122152, -0.333187, -0.25129, -0.503388, 0.15702], "network.8.weight": [[-0.569358, -0.236099, -0.298325, 0.460639, 0.319342, 0.359494], [-0.472337, 0.301343, -0.29079, -0.180024, 0.056562, 0.53317], [0.228118, 0.437417, -0.155598, -0.477931, -0.453965, -0.461034], [-0.435652, 0.565169, -0.168789, 0.237983, 0.429212, 0.413141], [-0.417078, 0.323028, 0.131393, 0.53597, 0.091399, 0.730295], [-0.086067, -0.383342, 0.322249, 0.190686, -0.594398, -0.073057]], "network.8.bias": [0.189237, 0.112312, 0.660441, -0.082054, 0.18107, -0.235818], "network.10.weight": [[-0.075705, 0.643508, -0.294821, 0.211366, 0.625962, -0.343243], [0.418189, 0.412618, -0.203436, 0.378149, 0.315369, -0.36111], [-0.65592, -0.125208, 0.737035, -1.171956, -0.354442, -0.239693], [-0.302483, 0.120516, -0.060998, 0.562555, -0.009304, 0.045504], [-0.21781, -0.085098, 0.82418, -0.271728, -0.452062, -0.278864], [0.010847, -0.12349, -0.192311, -0.065542, 0.392276, -0.038172]], "network.10.bias": [-0.017244, -0.054909, 0.54203, -0.218644, 0.225993, -0.32969], "network.12.weight": [[-0.407722, -0.448031, 0.482553, -0.261044, 0.268798, -0.030833]], "network.12.bias": [0.328616]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.68011274933815, "train_acc": 0.575, "val_loss": 0.7506864070892334, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6557222604751587, "train_acc": 0.575, "val_loss": 0.6266029477119446, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.4921066164970398, "train_acc": 0.635, "val_loss": 0.7970328330993652, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.37875406444072723, "train_acc": 0.87, "val_loss": 0.5113187432289124, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2744584158062935, "train_acc": 0.89, "val_loss": 0.33393800258636475, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.21616308391094208, "train_acc": 0.93, "val_loss": 0.345055490732193, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.22100305557250977, "train_acc": 0.92, "val_loss": 0.26590800285339355, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.22740532457828522, "train_acc": 0.94, "val_loss": 0.37997135519981384, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.27625467628240585, "train_acc": 0.935, "val_loss": 0.3452609181404114, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2041095867753029, "train_acc": 0.935, "val_loss": 0.30572110414505005, "val_acc": 0.9}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7506864070892334, "final_val_loss": 0.6266029477119446, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.7970328330993652, "final_val_loss": 0.30572110414505005, "initial_val_acc": 0.8, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 6}, "improvement": 0.42000000000000004, "first_improvement_epoch": 1}}
|
109
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.4, "improved_accuracy": 0.9, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7404, "learning_rate": 0.08354148567894708, "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: 6
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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[
-1.225335,
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],
[
1.532064,
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[
1.065158,
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]
],
"network.0.bias": [
0.115776,
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"network.2.weight": [
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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.2.bias": [
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"network.4.weight": [
[
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[
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[
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[
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],
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"network.8.weight": [
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[
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"network.8.bias": [
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"network.10.weight": [
[
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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: [[6.853783, 7.606601, 7.755412, 7.946199, 8.264937, 8.439101, 9.593007, 9.791162, 10.369139, 12.730769], [28.599422, 33.305565, 35.277269, 37.011579, 40.102527, 40.431609, 44.384150, 47.982171, 50.182482, 270.653367], [35.243492, 36.556258, 38.530005, 39.942929, 42.528445, 42.583637, 46.225499, 47.895501, 50.387770, 356.310296], [34.976281, 36.262588, 37.572581, 39.840861, 43.489263, 44.228326, 44.398510, 51.394311, 57.610928, 108.602910], [37.756091, 42.292685, 47.649689, 50.372160, 53.768760, 57.169553, 58.171330, 64.238706, 67.053768, 125.938815], [30.311439, 30.801578, 31.078720, 32.658745, 33.859489, 35.214661, 35.837891, 38.926170, 40.203709, 221.913620]]
### 2
fourier: [[64.594324, 69.448604, 77.442962, 78.353645, 81.407491, 89.121399, 90.082875, 90.890697, 94.851777, 333.421246], [33.382797, 35.107383, 38.003900, 41.315243, 42.322163, 45.373439, 46.091970, 46.215637, 47.990013, 140.325017], [18.493054, 19.310958, 19.492908, 22.578157, 24.251958, 24.701367, 27.303416, 27.777234, 28.052226, 57.244229], [5.594706, 5.638349, 5.829130, 6.194970, 6.213688, 6.478504, 6.506305, 7.116303, 10.233544, 12.913787], [8.014036, 8.393891, 8.411689, 8.793372, 8.804160, 10.450727, 10.714658, 12.753745, 14.337722, 35.150137], [36.619060, 37.369137, 39.044681, 40.485685, 46.120027, 50.760071, 52.131662, 53.176366, 60.527426, 68.261374]]
### 4
fourier: [[39.279464, 42.196002, 43.567112, 55.380881, 56.963588, 57.332217, 58.257225, 59.675493, 69.134762, 111.961459], [69.134375, 76.484802, 82.053943, 86.603519, 88.819686, 95.079171, 95.463902, 95.516440, 100.417556, 341.746940], [24.569487, 24.787138, 26.574564, 33.782726, 34.629848, 34.884968, 35.360766, 35.767658, 40.425531, 160.271162], [94.524063, 104.647780, 113.023886, 117.693040, 121.122034, 130.298611, 130.716869, 131.523075, 138.260715, 498.146983], [24.275473, 25.755414, 28.653603, 29.150405, 30.754181, 33.061461, 33.408786, 34.595995, 34.748745, 170.373694], [9.481933, 9.714934, 11.383069, 12.049041, 12.721532, 13.711645, 14.424941, 14.525957, 15.188004, 111.218130]]
### 6
fourier: [[91.874266, 93.760724, 105.073341, 112.072799, 118.330512, 124.026509, 124.956170, 129.822094, 131.272999, 486.330596], [94.488443, 95.760160, 107.367305, 115.585561, 121.750100, 127.322469, 128.482061, 133.422471, 135.720109, 514.086639], [82.324818, 84.552696, 95.373781, 99.556464, 105.928649, 111.336645, 111.714814, 115.728265, 116.064912, 413.608330], [35.967367, 37.718651, 40.042970, 47.112047, 48.579293, 50.056847, 51.008085, 52.219271, 55.723645, 203.864477], [76.242234, 78.814649, 88.668519, 92.073422, 97.897582, 103.461330, 103.686394, 107.737189, 107.837954, 356.501562], [47.927859, 52.460833, 54.589754, 65.244867, 67.885307, 69.094692, 70.149057, 70.972915, 76.210317, 182.234392]]
### 8
fourier: [[107.799808, 112.409571, 128.332354, 129.489923, 139.827377, 145.588779, 145.872807, 147.732708, 152.954279, 607.869460], [237.643955, 255.988547, 283.247454, 291.694160, 306.635284, 321.044392, 323.584212, 324.558515, 340.431680, 1317.087356], [118.603168, 125.947988, 141.801865, 143.655887, 153.370720, 161.043136, 161.167864, 161.185233, 169.169949, 637.244746], [170.970776, 186.780215, 203.253112, 213.207315, 221.269310, 229.994550, 233.162456, 234.078399, 246.833590, 933.990187], [14.546579, 15.282729, 16.338228, 18.589196, 19.460591, 20.459883, 21.283109, 22.644081, 26.640613, 56.204956], [41.314336, 41.702170, 46.780602, 58.240740, 60.374655, 60.675515, 60.768297, 61.397800, 70.996265, 110.377630]]
### 10
fourier: [[120.716493, 131.360436, 144.409527, 151.243951, 155.847326, 162.231789, 164.851917, 166.000973, 174.419893, 702.477396], [14.642039, 16.864694, 17.910931, 21.123377, 21.253312, 21.970674, 22.209580, 23.015661, 23.520547, 112.957021], [224.962321, 238.302453, 269.785986, 274.370522, 291.072134, 304.543095, 305.250137, 305.451335, 321.781271, 1327.052244], [134.294650, 143.906686, 161.301364, 166.143706, 173.016496, 181.427063, 182.905366, 183.742373, 193.339521, 804.808360], [68.907202, 74.503784, 81.491586, 84.523346, 89.308218, 92.754971, 93.640260, 93.784896, 98.419290, 339.379497], [74.116290, 80.906490, 89.259366, 93.870875, 95.053069, 99.622041, 101.522188, 102.546373, 107.790338, 440.376460]]
### 12
fourier: [[183.209037, 195.977341, 219.499444, 225.969128, 236.570768, 246.772606, 249.066529, 249.842422, 263.039666, 1039.207864]]
## 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: 6
Activation Function: gelu
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: [[6.853783, 7.606601, 7.755412, 7.946199, 8.264937, 8.439101, 9.593007, 9.791162, 10.369139, 12.730769], [28.599422, 33.305565, 35.277269, 37.011579, 40.102527, 40.431609, 44.384150, 47.982171, 50.182482, 270.653367], [35.243492, 36.556258, 38.530005, 39.942929, 42.528445, 42.583637, 46.225499, 47.895501, 50.387770, 356.310296], [34.976281, 36.262588, 37.572581, 39.840861, 43.489263, 44.228326, 44.398510, 51.394311, 57.610928, 108.602910], [37.756091, 42.292685, 47.649689, 50.372160, 53.768760, 57.169553, 58.171330, 64.238706, 67.053768, 125.938815], [30.311439, 30.801578, 31.078720, 32.658745, 33.859489, 35.214661, 35.837891, 38.926170, 40.203709, 221.913620]]
### 2
fourier: [[64.594324, 69.448604, 77.442962, 78.353645, 81.407491, 89.121399, 90.082875, 90.890697, 94.851777, 333.421246], [33.382797, 35.107383, 38.003900, 41.315243, 42.322163, 45.373439, 46.091970, 46.215637, 47.990013, 140.325017], [18.493054, 19.310958, 19.492908, 22.578157, 24.251958, 24.701367, 27.303416, 27.777234, 28.052226, 57.244229], [5.594706, 5.638349, 5.829130, 6.194970, 6.213688, 6.478504, 6.506305, 7.116303, 10.233544, 12.913787], [8.014036, 8.393891, 8.411689, 8.793372, 8.804160, 10.450727, 10.714658, 12.753745, 14.337722, 35.150137], [36.619060, 37.369137, 39.044681, 40.485685, 46.120027, 50.760071, 52.131662, 53.176366, 60.527426, 68.261374]]
### 4
fourier: [[39.279464, 42.196002, 43.567112, 55.380881, 56.963588, 57.332217, 58.257225, 59.675493, 69.134762, 111.961459], [69.134375, 76.484802, 82.053943, 86.603519, 88.819686, 95.079171, 95.463902, 95.516440, 100.417556, 341.746940], [24.569487, 24.787138, 26.574564, 33.782726, 34.629848, 34.884968, 35.360766, 35.767658, 40.425531, 160.271162], [94.524063, 104.647780, 113.023886, 117.693040, 121.122034, 130.298611, 130.716869, 131.523075, 138.260715, 498.146983], [24.275473, 25.755414, 28.653603, 29.150405, 30.754181, 33.061461, 33.408786, 34.595995, 34.748745, 170.373694], [9.481933, 9.714934, 11.383069, 12.049041, 12.721532, 13.711645, 14.424941, 14.525957, 15.188004, 111.218130]]
### 6
fourier: [[91.874266, 93.760724, 105.073341, 112.072799, 118.330512, 124.026509, 124.956170, 129.822094, 131.272999, 486.330596], [94.488443, 95.760160, 107.367305, 115.585561, 121.750100, 127.322469, 128.482061, 133.422471, 135.720109, 514.086639], [82.324818, 84.552696, 95.373781, 99.556464, 105.928649, 111.336645, 111.714814, 115.728265, 116.064912, 413.608330], [35.967367, 37.718651, 40.042970, 47.112047, 48.579293, 50.056847, 51.008085, 52.219271, 55.723645, 203.864477], [76.242234, 78.814649, 88.668519, 92.073422, 97.897582, 103.461330, 103.686394, 107.737189, 107.837954, 356.501562], [47.927859, 52.460833, 54.589754, 65.244867, 67.885307, 69.094692, 70.149057, 70.972915, 76.210317, 182.234392]]
### 8
fourier: [[107.799808, 112.409571, 128.332354, 129.489923, 139.827377, 145.588779, 145.872807, 147.732708, 152.954279, 607.869460], [237.643955, 255.988547, 283.247454, 291.694160, 306.635284, 321.044392, 323.584212, 324.558515, 340.431680, 1317.087356], [118.603168, 125.947988, 141.801865, 143.655887, 153.370720, 161.043136, 161.167864, 161.185233, 169.169949, 637.244746], [170.970776, 186.780215, 203.253112, 213.207315, 221.269310, 229.994550, 233.162456, 234.078399, 246.833590, 933.990187], [14.546579, 15.282729, 16.338228, 18.589196, 19.460591, 20.459883, 21.283109, 22.644081, 26.640613, 56.204956], [41.314336, 41.702170, 46.780602, 58.240740, 60.374655, 60.675515, 60.768297, 61.397800, 70.996265, 110.377630]]
### 10
fourier: [[120.716493, 131.360436, 144.409527, 151.243951, 155.847326, 162.231789, 164.851917, 166.000973, 174.419893, 702.477396], [14.642039, 16.864694, 17.910931, 21.123377, 21.253312, 21.970674, 22.209580, 23.015661, 23.520547, 112.957021], [224.962321, 238.302453, 269.785986, 274.370522, 291.072134, 304.543095, 305.250137, 305.451335, 321.781271, 1327.052244], [134.294650, 143.906686, 161.301364, 166.143706, 173.016496, 181.427063, 182.905366, 183.742373, 193.339521, 804.808360], [68.907202, 74.503784, 81.491586, 84.523346, 89.308218, 92.754971, 93.640260, 93.784896, 98.419290, 339.379497], [74.116290, 80.906490, 89.259366, 93.870875, 95.053069, 99.622041, 101.522188, 102.546373, 107.790338, 440.376460]]
### 12
fourier: [[183.209037, 195.977341, 219.499444, 225.969128, 236.570768, 246.772606, 249.066529, 249.842422, 263.039666, 1039.207864]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [6.85378308549469, 7.606600760645233, 7.755411923150649, 7.946198696084952, 8.264937200832977, 8.439101366853485, 9.593006883472242, 9.791162397637764, 10.369138810777475, 12.7307686625997]}, "1": {"fourier": [28.599421540830665, 33.30556459691155, 35.27726874221802, 37.01157886688322, 40.102527248591215, 40.43160926199578, 44.38415039206167, 47.98217137136483, 50.18248174319159, 270.6533671617508]}, "2": {"fourier": [35.243492108672584, 36.55625756675654, 38.53000531948135, 39.94292910547781, 42.52844505845573, 42.58363743156938, 46.22549880950521, 47.89550149644137, 50.38776962265851, 356.3102960586548]}, "3": {"fourier": [34.97628116917672, 36.26258787071544, 37.57258058799248, 39.840860834085326, 43.489262715727925, 44.22832617774589, 44.39851002367026, 51.39431075383636, 57.61092776784335, 108.60291035473347]}, "4": {"fourier": [37.756090596669395, 42.2926851762974, 47.64968863232815, 50.372159840161316, 53.768759606078845, 57.16955257861761, 58.17132987140859, 64.23870582729482, 67.05376805024936, 125.93881526589394]}, "5": {"fourier": [30.31143918229177, 30.80157829452572, 31.078719881524396, 32.65874489745618, 33.85948903915541, 35.214660772698856, 35.83789095851397, 38.92616988059454, 40.20370854719149, 221.91362005472183]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [64.59432409755365, 69.44860426437678, 77.44296217380091, 78.35364476170378, 81.40749133028126, 89.12139894187084, 90.08287497501236, 90.89069660034026, 94.85177712568307, 333.4212459772825]}, "1": {"fourier": [33.38279717403837, 35.107383443152465, 38.00389993344875, 41.31524259884582, 42.32216349270342, 45.3734389905887, 46.091970334141635, 46.21563730679793, 47.990013054720244, 140.3250171840191]}, "2": {"fourier": [18.493054044040896, 19.310957559519316, 19.49290791444465, 22.57815662967471, 24.25195849813807, 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"input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.290437, -0.244689, -0.074019, 0.056781, -0.049465], [-0.541065, 0.12156, -0.857579, 0.051092, -0.338918], [-0.786802, 0.177409, -0.169096, -1.129202, -0.013823], [-1.225335, 0.486468, -0.029817, 0.320204, 0.835624], [1.532064, 0.278449, -0.026609, -0.423976, -0.283927], [1.065158, 0.00045, -0.120923, 0.328495, -0.17909]], "network.0.bias": [0.115776, -0.455622, -0.511369, 0.19013, 0.300306, 0.90839], "network.2.weight": [[-0.753258, -0.254803, -0.223855, -0.304885, 0.720377, 1.281672], [-0.657336, -0.503395, -0.275214, -0.154924, 0.470959, 0.540212], [-0.162824, 0.624099, 0.316592, -0.180048, 0.047578, 0.5355], [0.609151, -0.350309, -0.119935, 0.232708, 0.032259, -0.128903], [-0.042895, 0.283506, 0.065544, -0.317503, 0.011752, 0.035456], [0.589609, -0.914641, -0.024403, 0.802252, -0.688194, -0.060327]], "network.2.bias": [-0.067481, -0.274421, -0.366593, -0.082729, 0.076826, -0.432091], "network.4.weight": [[-0.598884, 0.152546, -0.068091, -0.408327, 0.804413, 0.924659], [0.80051, 0.615128, -0.133046, 0.077229, -0.965074, -0.202153], [-0.64887, 0.365012, 0.414141, 0.062418, 0.838019, 0.371862], [1.17336, 0.526233, 0.074542, -0.130756, -0.774467, -0.246259], [-0.15394, -0.387226, -0.064789, 0.586151, 0.422638, -0.008986], [-0.040353, -0.327449, 0.057085, -0.274402, 0.807922, -0.105142]], "network.4.bias": [0.010178, 0.090074, -0.578027, 0.492399, -0.724811, -0.454036], "network.6.weight": [[-0.42494, 0.427056, -0.711409, 0.626508, -0.532981, -0.63665], [-0.441127, 0.327786, -0.890523, 0.719036, -0.324023, -0.176043], [-0.468605, 0.763502, -0.171995, 0.276712, -0.480347, -0.427399], [-0.229137, 0.110921, -0.64565, 0.295734, 0.138083, -0.715939], [-0.327224, 0.8593, -0.635297, 0.145145, -0.025817, 0.052296], [0.626188, -0.680353, 0.088981, -0.001726, 0.238053, 0.275767]], "network.6.bias": [0.380817, 0.640817, 0.28747, 0.243589, 0.059371, 0.311583], "network.8.weight": [[0.005213, 0.731673, 0.300924, 0.537, -0.078781, -0.322084], [0.733003, 0.62117, 0.598917, 0.661236, 0.547183, -0.411238], [-0.001176, -0.677312, -0.367836, -0.476295, -0.103807, 0.260554], [-1.152592, -0.740842, -0.248121, -0.168217, 0.349458, -0.091123], [0.016261, -0.139587, -0.373964, 0.519038, 0.459848, -0.699243], [0.019901, -0.229463, 0.198596, 0.621137, 0.27252, -1.152361]], "network.8.bias": [0.200558, 0.446853, 0.078163, 0.532769, -0.98473, -0.65164], "network.10.weight": [[-0.277994, -0.393529, -0.02281, -0.314379, 0.020082, 0.033113], [0.231277, 0.039403, -0.042811, 0.051414, -0.197959, -0.441158], [0.647153, 0.744555, -0.610635, 0.312959, -0.406586, -0.493854], [-0.011169, 0.627655, -0.390553, 0.850655, -0.335168, -0.28607], [0.05965, 0.252176, -0.165843, -0.432917, 0.145984, 0.041034], [0.135707, -0.401294, 0.067475, -0.823014, 0.231879, 0.109825]], "network.10.bias": [-0.168356, -0.091371, 0.338822, 0.327716, -0.411239, -0.110433], "network.12.weight": [[-0.026726, -0.053053, -0.463628, -0.438622, -0.279423, -0.057398]], "network.12.bias": [0.325255]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7131723463535309, "train_acc": 0.405, "val_loss": 0.7550726532936096, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.700246274471283, "train_acc": 0.595, "val_loss": 0.7898297905921936, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6705840528011322, "train_acc": 0.595, "val_loss": 0.7239210605621338, "val_acc": 0.4}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6701328158378601, "train_acc": 0.595, "val_loss": 0.7008151412010193, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6389493048191071, "train_acc": 0.58, "val_loss": 0.601496160030365, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5719473659992218, "train_acc": 0.64, "val_loss": 0.5053586363792419, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5905817747116089, "train_acc": 0.64, "val_loss": 0.4824138879776001, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5456705540418625, "train_acc": 0.67, "val_loss": 0.4020230174064636, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5846416652202606, "train_acc": 0.695, "val_loss": 0.46782225370407104, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5395742058753967, "train_acc": 0.685, "val_loss": 0.47514259815216064, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.5337459146976471, "train_acc": 0.735, "val_loss": 0.4815177917480469, "val_acc": 0.82}], "summary": {"total_epochs": 11, "degraded_epochs": 4, "improved_epochs": 7, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7550726532936096, "final_val_loss": 0.7008151412010193, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.601496160030365, "final_val_loss": 0.4815177917480469, "initial_val_acc": 0.8, "final_val_acc": 0.82, "best_val_acc": 0.9, "best_epoch": 7}, "improvement": 0.5, "first_improvement_epoch": 3}}
|
110
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.92, "improvement": 0.44000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8783, "learning_rate": 0.031108643354402415, "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: 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: [[18.063782, 18.911428, 18.924447, 19.618069, 20.590902, 20.738623, 21.011671, 21.137332, 21.161749, 25.725244], [13.308899, 16.052372, 16.909032, 17.795897, 17.824193, 18.373282, 18.539726, 18.764122, 22.521040, 85.511859], [14.518038, 14.640150, 14.660037, 14.930453, 15.297700, 15.824443, 19.914029, 20.881658, 22.045076, 60.369694], [22.325471, 23.172311, 23.704798, 24.710029, 26.511072, 27.983289, 29.170083, 29.822995, 29.955675, 154.681394], [15.962861, 16.135320, 16.355727, 18.210115, 18.690629, 21.148257, 21.433640, 22.005069, 25.673484, 94.057477], [18.644657, 20.554578, 20.591979, 21.902382, 22.248579, 22.449018, 22.695211, 24.369676, 28.238614, 47.451127], [25.758812, 25.957376, 26.108209, 27.280199, 31.682908, 31.690363, 35.967612, 36.372123, 37.225606, 267.651970], [23.780151, 24.298755, 24.766210, 26.280871, 26.400216, 26.975442, 28.953387, 30.532643, 35.667975, 201.800551]]
### 2
fourier: [[8.045722, 8.985364, 9.047466, 9.062325, 10.292816, 10.674998, 11.316319, 13.732795, 15.684354, 22.837487], [11.371598, 11.507039, 11.766492, 12.724441, 13.073160, 13.314322, 14.654734, 15.140024, 16.596813, 50.190154], [17.213795, 19.064095, 19.182204, 20.451475, 21.424710, 22.112635, 23.827888, 24.279267, 24.444688, 125.544585], [19.113327, 19.135692, 19.737649, 20.092420, 20.565978, 20.630462, 22.501912, 24.807127, 29.089410, 188.156557], [12.368371, 13.153241, 13.752035, 14.266879, 15.660435, 15.812673, 16.362091, 16.825972, 19.601091, 48.146412], [13.016609, 13.444840, 13.648321, 14.722415, 15.174099, 16.771155, 16.968966, 19.744112, 19.994835, 155.682521], [37.866003, 38.927060, 39.533428, 42.287871, 43.076459, 43.233902, 45.154962, 50.549108, 59.680124, 411.705164], [8.250422, 8.347484, 8.371113, 8.961860, 9.469215, 9.938678, 10.041053, 10.611887, 11.687859, 77.326453]]
### 4
fourier: [[3.937844, 4.041678, 4.257008, 4.513224, 5.059715, 5.105750, 5.156182, 5.190793, 6.163281, 69.581890], [4.195325, 4.394928, 4.429953, 4.535128, 4.640514, 5.018807, 5.205370, 5.282725, 5.688382, 57.520678], [11.847199, 11.872246, 12.213067, 13.202363, 13.373089, 13.747957, 15.737268, 15.824509, 16.172974, 171.536750], [15.837122, 16.666776, 16.833401, 17.548368, 17.620855, 17.868261, 18.548179, 21.025986, 24.696465, 176.291881], [18.582867, 19.532458, 20.876100, 20.921078, 21.112117, 21.865398, 23.238932, 25.183500, 29.483826, 214.257768], [17.412783, 17.695767, 17.708580, 18.922302, 19.326072, 20.342667, 21.473695, 22.746926, 27.377709, 181.794732], [22.031525, 22.760755, 24.503593, 24.904364, 25.742741, 27.726803, 27.929860, 28.691212, 30.991147, 83.932617], [16.959003, 19.149325, 19.453257, 20.401054, 20.623457, 21.655193, 22.730525, 23.346226, 27.239557, 200.150588]]
### 6
fourier: [[7.232772, 7.491557, 7.616380, 8.017019, 8.364250, 8.501262, 8.984224, 9.937780, 10.436339, 80.887191], [6.174566, 6.421098, 6.685754, 6.961012, 7.073161, 7.564812, 8.533596, 8.598478, 8.998101, 95.476510], [7.496575, 8.150719, 8.282691, 8.300818, 9.152001, 9.959206, 10.179700, 10.991925, 11.673994, 79.497972], [5.154636, 5.228261, 5.245572, 5.495477, 5.717700, 5.899680, 6.407031, 6.659541, 6.831607, 77.602272], [8.202188, 8.367563, 8.811311, 9.128786, 9.146198, 9.675057, 9.994061, 10.450664, 10.979075, 88.299268], [7.766594, 7.925747, 8.743216, 9.031703, 9.102104, 9.241572, 9.250068, 9.286210, 9.701187, 18.821762], [6.224870, 6.472236, 6.546979, 7.443761, 7.814070, 8.404871, 8.461771, 8.600486, 9.766201, 113.271095], [11.352732, 11.495372, 11.800159, 14.353962, 14.354499, 14.467225, 15.059025, 15.103758, 16.546516, 21.783235]]
### 8
fourier: [[2.055571, 2.102345, 2.229908, 2.342526, 2.445118, 2.492874, 2.627399, 2.730281, 2.791710, 77.695795], [2.526696, 2.611301, 2.785853, 2.912917, 3.164998, 3.472431, 3.504832, 3.592084, 3.944470, 45.254052], [2.695111, 2.756779, 3.017689, 3.212928, 3.382207, 3.669676, 3.741392, 3.841303, 4.054482, 83.807015], [3.258141, 3.706145, 3.954058, 4.033235, 4.222626, 4.277819, 4.539172, 5.004426, 5.276066, 10.189887], [1.762016, 1.787836, 1.956275, 1.959365, 2.065464, 2.179056, 2.180811, 2.474841, 2.889270, 32.095437], [10.176545, 10.478448, 10.801850, 10.860371, 12.143154, 13.123110, 13.221133, 13.964219, 16.006798, 102.259206], [8.794360, 9.213965, 9.987345, 10.445789, 11.091800, 11.824992, 11.895060, 11.920515, 14.383145, 95.363474], [1.539077, 1.721228, 1.751164, 1.834516, 1.913902, 2.131647, 2.246528, 2.295363, 2.318228, 36.084165]]
### 10
fourier: [[2.036687, 2.081022, 2.211781, 2.407873, 2.540569, 2.723278, 2.751068, 2.825116, 3.245088, 44.418077], [6.707386, 7.638797, 7.694012, 7.800172, 8.085517, 9.528494, 9.669911, 10.310808, 10.732027, 94.498865], [3.523767, 3.594467, 3.613091, 3.891919, 4.230594, 4.649963, 4.723735, 4.752013, 5.455448, 48.474226], [8.661889, 9.455401, 9.585450, 9.744742, 10.373090, 12.068971, 12.180325, 12.912169, 13.683725, 117.993650], [4.055512, 4.250518, 4.521969, 4.928536, 5.215936, 5.540097, 5.573805, 5.647061, 6.646036, 11.375624], [1.525230, 1.528545, 1.817957, 1.920150, 1.963241, 2.053488, 2.078674, 2.195104, 2.559153, 28.494016], [2.856374, 2.989043, 3.043132, 3.302704, 3.566483, 3.856477, 3.896844, 3.899426, 4.574798, 5.295480], [1.203051, 1.220208, 1.314727, 1.484289, 1.567171, 1.591227, 1.596920, 1.730486, 1.807659, 1.985734]]
### 12
fourier: [[9.199719, 9.216058, 9.564406, 9.628082, 10.408256, 11.765318, 12.327712, 12.499943, 14.070736, 107.732311]]
## 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: 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: [[18.063782, 18.911428, 18.924447, 19.618069, 20.590902, 20.738623, 21.011671, 21.137332, 21.161749, 25.725244], [13.308899, 16.052372, 16.909032, 17.795897, 17.824193, 18.373282, 18.539726, 18.764122, 22.521040, 85.511859], [14.518038, 14.640150, 14.660037, 14.930453, 15.297700, 15.824443, 19.914029, 20.881658, 22.045076, 60.369694], [22.325471, 23.172311, 23.704798, 24.710029, 26.511072, 27.983289, 29.170083, 29.822995, 29.955675, 154.681394], [15.962861, 16.135320, 16.355727, 18.210115, 18.690629, 21.148257, 21.433640, 22.005069, 25.673484, 94.057477], [18.644657, 20.554578, 20.591979, 21.902382, 22.248579, 22.449018, 22.695211, 24.369676, 28.238614, 47.451127], [25.758812, 25.957376, 26.108209, 27.280199, 31.682908, 31.690363, 35.967612, 36.372123, 37.225606, 267.651970], [23.780151, 24.298755, 24.766210, 26.280871, 26.400216, 26.975442, 28.953387, 30.532643, 35.667975, 201.800551]]
### 2
fourier: [[8.045722, 8.985364, 9.047466, 9.062325, 10.292816, 10.674998, 11.316319, 13.732795, 15.684354, 22.837487], [11.371598, 11.507039, 11.766492, 12.724441, 13.073160, 13.314322, 14.654734, 15.140024, 16.596813, 50.190154], [17.213795, 19.064095, 19.182204, 20.451475, 21.424710, 22.112635, 23.827888, 24.279267, 24.444688, 125.544585], [19.113327, 19.135692, 19.737649, 20.092420, 20.565978, 20.630462, 22.501912, 24.807127, 29.089410, 188.156557], [12.368371, 13.153241, 13.752035, 14.266879, 15.660435, 15.812673, 16.362091, 16.825972, 19.601091, 48.146412], [13.016609, 13.444840, 13.648321, 14.722415, 15.174099, 16.771155, 16.968966, 19.744112, 19.994835, 155.682521], [37.866003, 38.927060, 39.533428, 42.287871, 43.076459, 43.233902, 45.154962, 50.549108, 59.680124, 411.705164], [8.250422, 8.347484, 8.371113, 8.961860, 9.469215, 9.938678, 10.041053, 10.611887, 11.687859, 77.326453]]
### 4
fourier: [[3.937844, 4.041678, 4.257008, 4.513224, 5.059715, 5.105750, 5.156182, 5.190793, 6.163281, 69.581890], [4.195325, 4.394928, 4.429953, 4.535128, 4.640514, 5.018807, 5.205370, 5.282725, 5.688382, 57.520678], [11.847199, 11.872246, 12.213067, 13.202363, 13.373089, 13.747957, 15.737268, 15.824509, 16.172974, 171.536750], [15.837122, 16.666776, 16.833401, 17.548368, 17.620855, 17.868261, 18.548179, 21.025986, 24.696465, 176.291881], [18.582867, 19.532458, 20.876100, 20.921078, 21.112117, 21.865398, 23.238932, 25.183500, 29.483826, 214.257768], [17.412783, 17.695767, 17.708580, 18.922302, 19.326072, 20.342667, 21.473695, 22.746926, 27.377709, 181.794732], [22.031525, 22.760755, 24.503593, 24.904364, 25.742741, 27.726803, 27.929860, 28.691212, 30.991147, 83.932617], [16.959003, 19.149325, 19.453257, 20.401054, 20.623457, 21.655193, 22.730525, 23.346226, 27.239557, 200.150588]]
### 6
fourier: [[7.232772, 7.491557, 7.616380, 8.017019, 8.364250, 8.501262, 8.984224, 9.937780, 10.436339, 80.887191], [6.174566, 6.421098, 6.685754, 6.961012, 7.073161, 7.564812, 8.533596, 8.598478, 8.998101, 95.476510], [7.496575, 8.150719, 8.282691, 8.300818, 9.152001, 9.959206, 10.179700, 10.991925, 11.673994, 79.497972], [5.154636, 5.228261, 5.245572, 5.495477, 5.717700, 5.899680, 6.407031, 6.659541, 6.831607, 77.602272], [8.202188, 8.367563, 8.811311, 9.128786, 9.146198, 9.675057, 9.994061, 10.450664, 10.979075, 88.299268], [7.766594, 7.925747, 8.743216, 9.031703, 9.102104, 9.241572, 9.250068, 9.286210, 9.701187, 18.821762], [6.224870, 6.472236, 6.546979, 7.443761, 7.814070, 8.404871, 8.461771, 8.600486, 9.766201, 113.271095], [11.352732, 11.495372, 11.800159, 14.353962, 14.354499, 14.467225, 15.059025, 15.103758, 16.546516, 21.783235]]
### 8
fourier: [[2.055571, 2.102345, 2.229908, 2.342526, 2.445118, 2.492874, 2.627399, 2.730281, 2.791710, 77.695795], [2.526696, 2.611301, 2.785853, 2.912917, 3.164998, 3.472431, 3.504832, 3.592084, 3.944470, 45.254052], [2.695111, 2.756779, 3.017689, 3.212928, 3.382207, 3.669676, 3.741392, 3.841303, 4.054482, 83.807015], [3.258141, 3.706145, 3.954058, 4.033235, 4.222626, 4.277819, 4.539172, 5.004426, 5.276066, 10.189887], [1.762016, 1.787836, 1.956275, 1.959365, 2.065464, 2.179056, 2.180811, 2.474841, 2.889270, 32.095437], [10.176545, 10.478448, 10.801850, 10.860371, 12.143154, 13.123110, 13.221133, 13.964219, 16.006798, 102.259206], [8.794360, 9.213965, 9.987345, 10.445789, 11.091800, 11.824992, 11.895060, 11.920515, 14.383145, 95.363474], [1.539077, 1.721228, 1.751164, 1.834516, 1.913902, 2.131647, 2.246528, 2.295363, 2.318228, 36.084165]]
### 10
fourier: [[2.036687, 2.081022, 2.211781, 2.407873, 2.540569, 2.723278, 2.751068, 2.825116, 3.245088, 44.418077], [6.707386, 7.638797, 7.694012, 7.800172, 8.085517, 9.528494, 9.669911, 10.310808, 10.732027, 94.498865], [3.523767, 3.594467, 3.613091, 3.891919, 4.230594, 4.649963, 4.723735, 4.752013, 5.455448, 48.474226], [8.661889, 9.455401, 9.585450, 9.744742, 10.373090, 12.068971, 12.180325, 12.912169, 13.683725, 117.993650], [4.055512, 4.250518, 4.521969, 4.928536, 5.215936, 5.540097, 5.573805, 5.647061, 6.646036, 11.375624], [1.525230, 1.528545, 1.817957, 1.920150, 1.963241, 2.053488, 2.078674, 2.195104, 2.559153, 28.494016], [2.856374, 2.989043, 3.043132, 3.302704, 3.566483, 3.856477, 3.896844, 3.899426, 4.574798, 5.295480], [1.203051, 1.220208, 1.314727, 1.484289, 1.567171, 1.591227, 1.596920, 1.730486, 1.807659, 1.985734]]
### 12
fourier: [[9.199719, 9.216058, 9.564406, 9.628082, 10.408256, 11.765318, 12.327712, 12.499943, 14.070736, 107.732311]]
## 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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{"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [9.19971935742919, 9.216057525878739, 9.564405874935092, 9.628082067734569, 10.408256371341038, 11.765318098121307, 12.327711735515015, 12.499942875144555, 14.070736077655676, 107.73231079056859]}}, "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": 8, "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": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.08437, -0.501718, 0.058524, 0.328254, 0.444682], [-0.270366, 0.271067, -0.420444, -0.134076, -0.030906], [-0.284734, -0.265683, 0.341689, 0.223101, 0.24566], [0.33248, 0.110546, -0.401044, -0.428548, -0.582003], [0.598369, -0.172368, 0.094452, 0.213743, -0.290608], [0.510398, 0.322795, 0.097438, -0.251639, -0.049733], [-0.048237, 0.470449, 0.477805, 0.56227, 0.131843], [0.43399, 0.483493, 0.250957, 0.090525, 0.174052]], "network.0.bias": [-0.27953, 0.096273, 0.014084, 0.140662, 0.317296, -0.298705, -0.189766, -0.111893], "network.2.weight": [[-0.502393, -0.135604, -0.177652, 0.270712, -0.367774, -0.11367, 0.274047, -0.055468], [-0.137704, -0.511557, -0.153728, 0.150249, 0.097689, 0.214787, -0.146944, 0.336156], [0.491137, 0.100633, 0.519835, 0.188332, -0.320497, -0.357416, 0.325945, 0.079674], [-0.044325, -0.110366, -0.128427, 0.01491, -0.339902, -0.007883, -0.191319, -0.45439], [-0.206981, -0.009955, -0.177837, 0.17147, 0.377393, 0.057717, -0.156562, 0.359908], [-0.113212, -0.29067, 0.088059, -0.304493, -0.00721, 0.011513, -0.425702, -0.145369], [0.30302, 0.041392, -0.009165, -0.015769, 0.580644, 0.350171, 0.528555, 0.665998], [0.032958, -0.164054, 0.10465, -0.046272, -0.0842, 0.280897, -0.406022, 0.076515]], "network.2.bias": [0.013315, 0.201872, 0.100768, 0.037215, -0.005398, -0.081081, 0.370912, -0.042049], "network.4.weight": [[0.020251, -0.357876, 0.098046, 0.289986, 0.003618, 0.1111, 0.077514, -0.145621], [-0.054389, -0.190756, 0.061127, 0.211564, -0.052304, 0.232054, -0.030772, -0.382744], [-0.115625, -0.074776, 0.314271, 0.03632, -0.122169, -0.102877, 0.278534, 0.150037], [-0.016521, 0.107936, -0.088807, 0.206127, -0.04016, 0.38588, -0.416565, -0.210465], [0.082208, 0.226657, -0.180374, 0.030578, -0.25541, -0.203816, -0.464813, -0.390287], [0.191797, 0.087098, 0.167722, 0.078203, 0.130481, -0.187515, -0.525177, -0.022599], [-0.341, 0.32112, -0.530038, 0.011164, 0.46892, -0.17031, 0.309013, -0.086741], [0.029017, -0.22138, 0.049571, -0.017017, -0.147107, 0.19336, -0.387031, 0.123944]], "network.4.bias": [0.489286, -0.427181, 0.306758, 0.040966, 0.022869, -0.024625, -0.139064, -0.305907], "network.6.weight": [[0.245213, 0.142482, 0.377511, -0.018283, -0.144431, -0.235253, -0.294165, 0.12023], [-0.302204, 0.1005, -0.442993, -0.135289, 0.152709, 0.141292, -0.059522, -0.048757], [0.332977, 0.165468, 0.304207, 0.050616, -0.361355, -0.107702, -0.343875, -0.242588], [-0.080681, -0.318816, -0.410606, -0.054014, 0.208504, -0.362494, 0.013221, -0.078597], [0.134164, -0.170568, -0.249321, -0.121607, 0.181657, 0.082826, -0.28574, -0.276373], [-0.46653, 0.129616, 0.204653, -0.288694, 0.167851, -0.522991, 0.254914, 0.00445], [0.421734, -0.278767, 0.401654, -0.0731, 0.221134, 0.115825, -0.170575, 0.156998], [-0.028179, -0.168515, -0.161638, 0.082114, -0.313395, 0.047873, 0.580761, 0.167673]], "network.6.bias": [0.29058, 0.078094, 0.39785, -0.03078, -0.317291, -0.080967, 0.341413, -0.022337], "network.8.weight": [[0.192826, 0.289831, -0.322422, -0.342747, -0.132889, 0.295386, -0.312683, -0.353041], [0.013101, -0.405545, -0.055928, -0.060455, -0.062658, -0.123128, -0.378496, 0.053115], [-0.25156, 0.091573, 0.151231, 0.340022, 0.336839, -0.329922, -0.351183, 0.103967], [0.177385, 0.30094, 0.269219, 0.297445, 0.323458, 0.109725, -0.274935, 0.399813], [0.269629, -0.235959, 0.082196, -0.089838, -0.305985, 0.104338, -0.345336, 0.17062], [0.41034, 0.250485, 0.177658, 0.184901, -0.235239, -0.257207, 0.401069, -0.346829], [0.287291, -0.127561, 0.400673, -0.078213, 0.263802, -0.09471, 0.119369, -0.411144], [-0.046922, -0.312564, -0.235875, -0.199601, 0.348375, 0.056589, 0.047482, -0.032762]], "network.8.bias": [-0.282257, 0.025972, -0.350686, -0.150203, -0.34548, 0.304037, 0.468242, -0.19986], "network.10.weight": [[-0.345596, -0.141465, 0.104834, -0.122282, 0.166012, -0.00038, 0.237523, 0.062392], [-0.307254, 0.045925, -0.237672, 0.125878, 0.072502, 0.497503, 0.440978, -0.148947], [-0.208188, -0.056623, -0.313116, -0.174459, 0.283111, 0.121001, 0.277933, -0.331153], [-0.165578, 0.174723, 0.320547, 0.053046, -0.117949, 0.582864, 0.57189, 0.158404], [-0.334663, 0.038055, -0.320005, 0.327208, -0.055205, -0.138856, -0.295843, 0.193233], [0.236799, -0.157683, -0.317242, -0.328227, 0.128112, 0.104361, -0.023886, 0.052035], [0.091137, -0.116222, -0.322223, 0.201156, -0.051517, -0.15398, -0.149337, -0.0725], [-0.246256, 0.215496, 0.292792, 0.019666, 0.038832, 0.260302, -0.451589, -0.012298]], "network.10.bias": [0.242867, -0.063989, 0.102137, -0.042859, 0.330751, 0.259993, 0.268771, 0.202202], "network.12.weight": [[-0.107465, -0.360375, -0.055305, -0.550692, 0.269612, -0.061447, 0.244286, 0.121283]], "network.12.bias": [-0.039158]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.690592348575592, "train_acc": 0.565, "val_loss": 0.6973573565483093, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6820725202560425, "train_acc": 0.565, "val_loss": 0.701005220413208, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.674869954586029, "train_acc": 0.565, "val_loss": 0.6951323747634888, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6509894132614136, "train_acc": 0.565, "val_loss": 0.6623098850250244, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.616317093372345, "train_acc": 0.505, "val_loss": 0.5521275997161865, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5121116936206818, "train_acc": 0.585, "val_loss": 0.4489102065563202, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.37124308943748474, "train_acc": 0.945, "val_loss": 0.4232249855995178, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.32003261148929596, "train_acc": 0.92, "val_loss": 0.3443254828453064, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.2049693688750267, "train_acc": 0.935, "val_loss": 0.3080917298793793, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.14164336770772934, "train_acc": 0.955, "val_loss": 0.3122048079967499, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.12591277062892914, "train_acc": 0.95, "val_loss": 0.47231003642082214, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.1804439090192318, "train_acc": 0.96, "val_loss": 0.5480488538742065, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 4, "improved_epochs": 8, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6973573565483093, "final_val_loss": 0.6623098850250244, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5521275997161865, "final_val_loss": 0.5480488538742065, "initial_val_acc": 0.48, "final_val_acc": 0.88, "best_val_acc": 0.92, "best_epoch": 5}, "improvement": 0.44000000000000006, "first_improvement_epoch": 3}}
|
111
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.4, "improved_accuracy": 0.9, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3098, "learning_rate": 0.09600290499421175, "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: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.8.bias": [
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}
## Activation Signature
### 0
fourier: [[21.648867, 22.410889, 23.387930, 24.113692, 26.481911, 27.736309, 29.154710, 29.421409, 37.986910, 265.586858], [79.821934, 80.656097, 86.959403, 87.049306, 87.055505, 92.033463, 94.881029, 100.856048, 111.611020, 333.931405], [53.956733, 54.572848, 55.969137, 56.672219, 59.676680, 65.025759, 65.682318, 69.515993, 76.697515, 231.359571], [33.157637, 34.700296, 35.386268, 36.946523, 38.012350, 39.361316, 42.497725, 49.133912, 54.980019, 369.760440], [45.083188, 46.555671, 46.639191, 47.149581, 47.961973, 50.470099, 53.545861, 54.442593, 58.284512, 155.737927], [39.841743, 39.916273, 41.790225, 42.043666, 43.184889, 44.841516, 62.791008, 65.845010, 66.754172, 209.801612], [61.270872, 62.727421, 67.970957, 70.740003, 72.057528, 74.574190, 83.357516, 87.536815, 90.173623, 439.372270]]
### 2
fourier: [[58.570892, 59.710513, 66.787330, 67.236830, 68.237435, 69.363464, 73.169766, 77.498509, 78.525263, 344.646867], [86.595607, 87.883903, 97.038984, 97.294060, 98.459530, 98.518523, 102.540112, 106.245616, 109.119770, 552.965786], [68.408888, 72.840258, 75.528568, 76.978338, 77.831863, 80.852210, 85.327355, 90.499914, 91.593354, 405.249203], [44.558694, 47.006432, 52.817155, 53.129106, 53.804617, 54.845128, 55.884317, 60.296040, 62.077214, 233.817425], [53.536324, 57.914683, 58.972774, 59.896653, 62.010278, 63.729516, 65.858981, 66.582983, 71.101441, 302.257533], [212.114303, 227.335920, 247.296624, 250.516712, 251.902775, 254.225876, 261.962930, 265.567330, 286.772912, 1197.230061], [249.332966, 257.625823, 275.568295, 284.309123, 285.625125, 292.618925, 295.435671, 304.267115, 321.528161, 1377.581597]]
### 4
fourier: [[237.814858, 255.384398, 280.057031, 281.062001, 281.719251, 281.943291, 285.882102, 293.823523, 314.799823, 1386.361911], [91.458063, 94.545246, 98.828933, 104.156386, 104.374727, 107.908406, 109.063170, 111.099969, 116.605443, 543.215983], [312.057240, 335.200286, 367.482053, 368.894407, 369.895788, 370.064691, 375.156067, 385.605623, 413.186067, 1700.354660], [280.926893, 300.135962, 328.809652, 330.460701, 330.910373, 331.260828, 337.270680, 346.156973, 369.950097, 1593.996904], [165.474205, 175.540696, 190.455869, 193.393228, 193.671767, 194.984228, 198.329067, 203.183339, 216.374197, 983.804967], [16.728108, 17.833784, 19.480939, 19.639252, 19.680982, 19.706507, 20.072729, 20.590016, 21.981964, 99.615023], [93.456653, 98.811728, 106.711298, 108.891180, 108.997906, 110.141606, 111.928772, 114.574297, 121.799888, 541.394837]]
### 6
fourier: [[141.021102, 154.404645, 167.040202, 167.868463, 168.823433, 169.492125, 171.998186, 174.024697, 186.855821, 797.227344], [26.128082, 28.607756, 30.948844, 31.102303, 31.279238, 31.403131, 31.867447, 32.242916, 34.620239, 152.171766], [153.289259, 167.837107, 181.571899, 182.472217, 183.510259, 184.237126, 186.961203, 189.164014, 203.111379, 795.603506], [133.244667, 145.890198, 157.828981, 158.611567, 159.513880, 160.145694, 162.513554, 164.428322, 176.551894, 689.325585], [168.085528, 184.037609, 199.098151, 200.085365, 201.223614, 202.020638, 205.007646, 207.423092, 222.716742, 970.354147], [54.899356, 60.109556, 65.028561, 65.351005, 65.722773, 65.983091, 66.958697, 67.747621, 72.742760, 338.181611], [37.767834, 41.352175, 44.736191, 44.958015, 45.213768, 45.392857, 46.064022, 46.606756, 50.043147, 248.726254]]
### 8
fourier: [[139.794143, 157.160929, 165.793866, 166.291567, 169.307305, 171.179220, 172.285368, 173.051959, 184.593862, 628.561049]]
## 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: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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"network.4.weight": [
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}
## Activation Signature
### 0
fourier: [[21.648867, 22.410889, 23.387930, 24.113692, 26.481911, 27.736309, 29.154710, 29.421409, 37.986910, 265.586858], [79.821934, 80.656097, 86.959403, 87.049306, 87.055505, 92.033463, 94.881029, 100.856048, 111.611020, 333.931405], [53.956733, 54.572848, 55.969137, 56.672219, 59.676680, 65.025759, 65.682318, 69.515993, 76.697515, 231.359571], [33.157637, 34.700296, 35.386268, 36.946523, 38.012350, 39.361316, 42.497725, 49.133912, 54.980019, 369.760440], [45.083188, 46.555671, 46.639191, 47.149581, 47.961973, 50.470099, 53.545861, 54.442593, 58.284512, 155.737927], [39.841743, 39.916273, 41.790225, 42.043666, 43.184889, 44.841516, 62.791008, 65.845010, 66.754172, 209.801612], [61.270872, 62.727421, 67.970957, 70.740003, 72.057528, 74.574190, 83.357516, 87.536815, 90.173623, 439.372270]]
### 2
fourier: [[58.570892, 59.710513, 66.787330, 67.236830, 68.237435, 69.363464, 73.169766, 77.498509, 78.525263, 344.646867], [86.595607, 87.883903, 97.038984, 97.294060, 98.459530, 98.518523, 102.540112, 106.245616, 109.119770, 552.965786], [68.408888, 72.840258, 75.528568, 76.978338, 77.831863, 80.852210, 85.327355, 90.499914, 91.593354, 405.249203], [44.558694, 47.006432, 52.817155, 53.129106, 53.804617, 54.845128, 55.884317, 60.296040, 62.077214, 233.817425], [53.536324, 57.914683, 58.972774, 59.896653, 62.010278, 63.729516, 65.858981, 66.582983, 71.101441, 302.257533], [212.114303, 227.335920, 247.296624, 250.516712, 251.902775, 254.225876, 261.962930, 265.567330, 286.772912, 1197.230061], [249.332966, 257.625823, 275.568295, 284.309123, 285.625125, 292.618925, 295.435671, 304.267115, 321.528161, 1377.581597]]
### 4
fourier: [[237.814858, 255.384398, 280.057031, 281.062001, 281.719251, 281.943291, 285.882102, 293.823523, 314.799823, 1386.361911], [91.458063, 94.545246, 98.828933, 104.156386, 104.374727, 107.908406, 109.063170, 111.099969, 116.605443, 543.215983], [312.057240, 335.200286, 367.482053, 368.894407, 369.895788, 370.064691, 375.156067, 385.605623, 413.186067, 1700.354660], [280.926893, 300.135962, 328.809652, 330.460701, 330.910373, 331.260828, 337.270680, 346.156973, 369.950097, 1593.996904], [165.474205, 175.540696, 190.455869, 193.393228, 193.671767, 194.984228, 198.329067, 203.183339, 216.374197, 983.804967], [16.728108, 17.833784, 19.480939, 19.639252, 19.680982, 19.706507, 20.072729, 20.590016, 21.981964, 99.615023], [93.456653, 98.811728, 106.711298, 108.891180, 108.997906, 110.141606, 111.928772, 114.574297, 121.799888, 541.394837]]
### 6
fourier: [[141.021102, 154.404645, 167.040202, 167.868463, 168.823433, 169.492125, 171.998186, 174.024697, 186.855821, 797.227344], [26.128082, 28.607756, 30.948844, 31.102303, 31.279238, 31.403131, 31.867447, 32.242916, 34.620239, 152.171766], [153.289259, 167.837107, 181.571899, 182.472217, 183.510259, 184.237126, 186.961203, 189.164014, 203.111379, 795.603506], [133.244667, 145.890198, 157.828981, 158.611567, 159.513880, 160.145694, 162.513554, 164.428322, 176.551894, 689.325585], [168.085528, 184.037609, 199.098151, 200.085365, 201.223614, 202.020638, 205.007646, 207.423092, 222.716742, 970.354147], [54.899356, 60.109556, 65.028561, 65.351005, 65.722773, 65.983091, 66.958697, 67.747621, 72.742760, 338.181611], [37.767834, 41.352175, 44.736191, 44.958015, 45.213768, 45.392857, 46.064022, 46.606756, 50.043147, 248.726254]]
### 8
fourier: [[139.794143, 157.160929, 165.793866, 166.291567, 169.307305, 171.179220, 172.285368, 173.051959, 184.593862, 628.561049]]
## 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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"input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.224726, -0.596597, -0.450329, 0.07548, -0.549015], [2.228907, 0.806375, 0.679291, -0.269671, -0.403455], [1.331704, 1.34945, -0.589677, 0.064427, -0.291887], [-0.659357, -0.002822, -0.677554, -0.334547, -0.419606], [1.356509, 0.453492, 0.046914, 0.292393, -0.386235], [1.416719, -0.710871, 0.372519, 0.743409, 0.044741], [1.780293, 0.483346, 0.524895, 0.820857, -0.172753]], "network.0.bias": [-0.687548, -0.87587, -0.091962, -0.632507, -1.032702, -0.564066, -0.857995], "network.2.weight": [[-0.466368, -0.243677, -0.067935, -0.057399, -0.618924, -0.574326, 0.127757], [-0.49737, -0.368419, -0.096217, -0.304013, -0.474156, -0.044127, -0.521218], [-0.67413, 0.048755, -0.559483, -0.080889, -0.608869, -0.21843, -0.252287], [-0.648269, -0.198846, -0.085513, -0.520699, -0.585974, -0.521145, 0.243181], [-0.273618, -0.534079, -0.424557, -0.569453, 0.104755, -0.037199, 0.044753], [-0.100719, 0.821113, 1.725996, 0.227734, 0.37399, 0.710399, 0.617754], [-0.000648, 1.370366, 0.982043, 0.295353, 0.411356, 0.684499, 0.947608]], "network.2.bias": [-0.518432, -0.671625, -0.002459, -0.198899, -0.306694, -0.698311, -0.435757], "network.4.weight": [[-0.082777, -0.164606, -0.144428, -0.200617, -0.156802, -0.640505, -0.419196], [-0.20267, -0.222132, -0.578603, 0.166467, 0.347627, 0.091551, -0.446492], [0.621112, 0.319374, 0.615585, 0.129711, 0.273402, 0.848539, 0.543242], [-0.411446, -0.130857, -0.593957, 0.258287, 0.261358, -0.615451, -0.614384], [-0.211728, 0.008804, -0.543162, -0.275316, 0.066387, -0.248177, -0.458434], [-0.282604, -0.151853, -0.349158, 0.356395, -0.222465, -0.033157, -0.039531], [0.064085, -0.261609, -0.19265, -0.215541, -0.069565, -0.109833, -0.284526]], "network.4.bias": [-0.393561, -0.405364, -0.807081, -0.038878, -0.56986, -0.055992, -0.176405], "network.6.weight": [[-0.097361, -0.190649, -0.457193, -0.204613, -0.41767, 0.060899, 0.138072], [0.044334, -0.345047, -0.084708, -0.113291, -0.08857, -0.232784, -0.247821], [0.023887, 0.456726, 0.496967, 0.634355, 0.46421, -0.233673, -0.251195], [0.003713, -0.002324, 0.431982, 0.517605, -0.006564, 0.214724, -0.35562], [-0.64809, -0.107289, -0.544936, -0.344885, -0.597453, -0.063232, 0.057308], [-0.546849, -0.093308, -0.177985, -0.072073, -0.068153, 0.333407, -0.139469], [-0.457091, -0.03394, -0.122444, -0.106626, -0.690326, -0.20586, -0.111106]], "network.6.bias": [-0.170574, -0.081195, -0.60324, -0.549273, -0.42692, -0.375537, -0.436964], "network.8.weight": [[-0.006003, 0.25548, -0.56993, -0.410101, 0.443339, -0.259987, -0.294814]], "network.8.bias": [1.296411]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.734990119934082, "train_acc": 0.395, "val_loss": 0.7086459994316101, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6657368838787079, "train_acc": 0.605, "val_loss": 0.8352104425430298, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6209792494773865, "train_acc": 0.605, "val_loss": 0.7023375034332275, "val_acc": 0.4}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5739763677120209, "train_acc": 0.605, "val_loss": 0.6394011974334717, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6774581372737885, "train_acc": 0.54, "val_loss": 0.548993706703186, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.515559047460556, "train_acc": 0.755, "val_loss": 0.552390456199646, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5548390448093414, "train_acc": 0.775, "val_loss": 0.5028378963470459, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4878629297018051, "train_acc": 0.82, "val_loss": 0.4906987249851227, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4147094786167145, "train_acc": 0.79, "val_loss": 0.4379028379917145, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.38040874898433685, "train_acc": 0.83, "val_loss": 0.40982887148857117, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3500809520483017, "train_acc": 0.87, "val_loss": 0.3913745582103729, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3323252350091934, "train_acc": 0.865, "val_loss": 0.36393576860427856, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.3082890659570694, "train_acc": 0.895, "val_loss": 0.3442329466342926, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.32352104783058167, "train_acc": 0.875, "val_loss": 0.29859408736228943, "val_acc": 0.9}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7086459994316101, "final_val_loss": 0.6394011974334717, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.548993706703186, "final_val_loss": 0.29859408736228943, "initial_val_acc": 0.74, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 13}, "improvement": 0.5, "first_improvement_epoch": 3}}
|
112
|
{"target_pattern": "palindrome", "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": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8945, "learning_rate": 0.027708096281166404, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[18.882461, 19.664697, 20.321981, 20.674552, 22.644164, 25.260703, 28.474514, 31.423598, 37.065600, 147.369486], [15.254261, 16.113311, 17.058329, 17.525682, 17.954061, 18.204308, 20.236801, 21.145118, 21.690231, 74.218475], [21.574192, 22.791807, 23.642842, 24.345731, 24.684911, 24.686947, 31.844937, 34.408047, 36.236839, 194.029739], [17.245320, 17.757041, 18.692368, 19.127744, 20.068273, 20.579278, 20.619909, 21.133448, 22.222194, 77.914901], [15.334518, 16.124580, 17.065203, 17.069527, 17.954591, 19.179258, 20.610614, 21.508087, 22.065971, 23.718291], [14.897280, 15.303305, 15.642445, 18.561802, 18.618928, 20.220937, 20.934596, 21.346470, 23.056927, 135.297468], [14.788013, 15.481107, 15.961193, 16.712212, 19.523003, 21.188474, 21.901184, 22.496052, 23.111417, 24.523542], [17.851948, 18.775539, 18.795997, 19.357182, 20.612379, 22.474809, 26.506772, 30.424090, 31.472564, 127.632809]]
### 2
fourier: [[8.527727, 9.203791, 9.743821, 9.897047, 10.544858, 10.674628, 11.915129, 12.735861, 17.090378, 52.734450], [9.866472, 9.942896, 10.526042, 11.485484, 11.879217, 12.067049, 14.613628, 17.168773, 18.084213, 89.601375], [11.829906, 12.768968, 12.788683, 12.822276, 13.630338, 14.721605, 15.688355, 15.833444, 16.372486, 77.256977], [11.885541, 12.736679, 13.721699, 14.013765, 15.087644, 15.332304, 15.430146, 16.726080, 17.350521, 152.293616], [33.063109, 33.196242, 33.701231, 34.571694, 38.968686, 41.428871, 44.178750, 45.206951, 53.641041, 169.714997], [14.797856, 15.277300, 15.353569, 15.930814, 19.732962, 21.426300, 22.029210, 27.490273, 29.458247, 146.870248], [4.685585, 4.900496, 5.044693, 5.072434, 5.789141, 5.811706, 6.099904, 6.369860, 7.029044, 82.646055], [38.679738, 39.268267, 39.846480, 41.096675, 45.378204, 45.609129, 52.416531, 53.963968, 65.355244, 234.384302]]
### 4
fourier: [[33.576858, 35.641184, 36.355421, 37.291629, 40.435425, 48.454581, 51.764417, 53.419153, 65.254855, 229.354530], [37.460975, 39.387953, 39.904363, 40.825901, 44.807951, 54.002812, 56.563682, 59.125655, 72.203761, 270.454121], [1.647480, 1.734399, 1.748614, 1.771803, 1.832673, 2.206997, 2.321981, 2.925514, 3.171395, 7.483116], [17.747971, 17.993790, 19.263571, 19.971529, 20.671552, 26.495899, 26.766388, 30.426900, 35.229105, 142.912472], [14.329587, 14.479941, 16.001190, 16.248273, 16.716732, 20.060779, 21.891910, 23.136036, 27.773786, 95.815555], [31.769603, 33.344179, 35.290869, 35.309333, 39.098365, 44.100948, 48.579031, 49.196169, 60.646522, 222.183279], [20.397148, 20.963115, 23.586057, 23.808317, 25.541370, 29.670974, 31.962171, 35.666167, 41.279655, 235.452013], [30.466735, 33.052949, 33.374784, 33.756965, 37.105540, 42.463042, 46.043145, 48.563333, 58.489833, 251.862386]]
### 6
fourier: [[14.270209, 15.101078, 15.691747, 15.792142, 16.976309, 21.084841, 22.010405, 23.450429, 28.039241, 142.585360], [3.341472, 3.415707, 3.473790, 4.008701, 4.424788, 4.920556, 5.065728, 5.752341, 6.146712, 46.227023], [11.259514, 12.244692, 12.873228, 12.916131, 13.794488, 16.528621, 17.870574, 18.928550, 22.332401, 125.648878], [0.427628, 0.459030, 0.466858, 0.485404, 0.492795, 0.501228, 0.511697, 0.565195, 0.769740, 53.849616], [9.489429, 9.544868, 10.234347, 10.600309, 11.095292, 13.902981, 14.269533, 15.498251, 18.596326, 113.237136], [12.953955, 13.270511, 14.599200, 14.864463, 16.275571, 19.132622, 19.709971, 22.927430, 26.181889, 165.433385], [80.750128, 86.991529, 88.400376, 89.922302, 98.623867, 116.983360, 124.625159, 129.458211, 157.307279, 616.636290], [3.939703, 4.475036, 4.713496, 4.735045, 4.948445, 5.362621, 6.393676, 6.681085, 7.697521, 68.600158]]
### 8
fourier: [[3.957414, 4.215987, 4.407121, 4.497083, 4.805342, 5.600184, 6.116472, 6.461123, 7.744707, 44.105280], [1.809871, 1.818229, 2.006230, 2.401205, 2.416060, 2.459237, 2.741747, 3.246207, 3.407566, 65.607894], [44.848284, 47.676604, 49.583977, 49.604101, 55.022778, 65.656827, 69.228660, 71.490374, 87.330022, 293.486789], [17.963427, 19.247504, 19.867334, 20.283885, 21.710689, 25.440551, 27.696597, 29.108030, 34.995622, 198.601567], [6.316205, 6.789313, 6.961891, 7.152501, 7.743513, 9.056124, 9.785848, 10.304217, 12.401665, 70.562694], [8.393660, 8.923803, 9.368751, 9.536053, 10.141523, 11.819047, 12.952689, 13.682120, 16.386343, 55.558166], [1.929650, 1.986174, 2.097065, 2.444563, 2.481227, 2.637369, 2.856596, 3.423531, 3.521744, 56.164374], [18.846171, 19.315999, 20.437549, 21.403971, 23.414796, 28.364811, 29.106044, 29.595321, 36.667839, 98.958066]]
### 10
fourier: [[31.744182, 32.835688, 35.746157, 38.572959, 40.908181, 48.798114, 51.247762, 51.909870, 63.257005, 167.394908], [12.268395, 12.298531, 13.778105, 15.609716, 16.167672, 19.516337, 20.171886, 20.236591, 20.802330, 24.883974], [5.539270, 6.111425, 6.208043, 6.447683, 6.990468, 8.155224, 8.838810, 9.124717, 10.956739, 13.678689], [27.484932, 28.819641, 31.108577, 32.890553, 35.244056, 41.829526, 44.199975, 45.017676, 54.623583, 170.809031], [24.255979, 25.144799, 27.242964, 29.288225, 31.155551, 37.153268, 38.966723, 39.536035, 48.147637, 133.115865], [13.571382, 14.704377, 15.378477, 15.449141, 17.055667, 20.060368, 21.385165, 22.029492, 26.547434, 95.059420], [14.371882, 15.351214, 16.508008, 17.119177, 18.417725, 21.636874, 23.262713, 23.881569, 28.721486, 99.392555], [5.308913, 5.329916, 5.610743, 5.927232, 6.583059, 7.928747, 7.969175, 8.083383, 9.960777, 27.028824]]
### 12
fourier: [[47.696679, 50.835001, 54.619652, 61.662378, 62.662785, 75.880790, 78.890534, 81.134924, 97.844576, 234.568619]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[18.882461, 19.664697, 20.321981, 20.674552, 22.644164, 25.260703, 28.474514, 31.423598, 37.065600, 147.369486], [15.254261, 16.113311, 17.058329, 17.525682, 17.954061, 18.204308, 20.236801, 21.145118, 21.690231, 74.218475], [21.574192, 22.791807, 23.642842, 24.345731, 24.684911, 24.686947, 31.844937, 34.408047, 36.236839, 194.029739], [17.245320, 17.757041, 18.692368, 19.127744, 20.068273, 20.579278, 20.619909, 21.133448, 22.222194, 77.914901], [15.334518, 16.124580, 17.065203, 17.069527, 17.954591, 19.179258, 20.610614, 21.508087, 22.065971, 23.718291], [14.897280, 15.303305, 15.642445, 18.561802, 18.618928, 20.220937, 20.934596, 21.346470, 23.056927, 135.297468], [14.788013, 15.481107, 15.961193, 16.712212, 19.523003, 21.188474, 21.901184, 22.496052, 23.111417, 24.523542], [17.851948, 18.775539, 18.795997, 19.357182, 20.612379, 22.474809, 26.506772, 30.424090, 31.472564, 127.632809]]
### 2
fourier: [[8.527727, 9.203791, 9.743821, 9.897047, 10.544858, 10.674628, 11.915129, 12.735861, 17.090378, 52.734450], [9.866472, 9.942896, 10.526042, 11.485484, 11.879217, 12.067049, 14.613628, 17.168773, 18.084213, 89.601375], [11.829906, 12.768968, 12.788683, 12.822276, 13.630338, 14.721605, 15.688355, 15.833444, 16.372486, 77.256977], [11.885541, 12.736679, 13.721699, 14.013765, 15.087644, 15.332304, 15.430146, 16.726080, 17.350521, 152.293616], [33.063109, 33.196242, 33.701231, 34.571694, 38.968686, 41.428871, 44.178750, 45.206951, 53.641041, 169.714997], [14.797856, 15.277300, 15.353569, 15.930814, 19.732962, 21.426300, 22.029210, 27.490273, 29.458247, 146.870248], [4.685585, 4.900496, 5.044693, 5.072434, 5.789141, 5.811706, 6.099904, 6.369860, 7.029044, 82.646055], [38.679738, 39.268267, 39.846480, 41.096675, 45.378204, 45.609129, 52.416531, 53.963968, 65.355244, 234.384302]]
### 4
fourier: [[33.576858, 35.641184, 36.355421, 37.291629, 40.435425, 48.454581, 51.764417, 53.419153, 65.254855, 229.354530], [37.460975, 39.387953, 39.904363, 40.825901, 44.807951, 54.002812, 56.563682, 59.125655, 72.203761, 270.454121], [1.647480, 1.734399, 1.748614, 1.771803, 1.832673, 2.206997, 2.321981, 2.925514, 3.171395, 7.483116], [17.747971, 17.993790, 19.263571, 19.971529, 20.671552, 26.495899, 26.766388, 30.426900, 35.229105, 142.912472], [14.329587, 14.479941, 16.001190, 16.248273, 16.716732, 20.060779, 21.891910, 23.136036, 27.773786, 95.815555], [31.769603, 33.344179, 35.290869, 35.309333, 39.098365, 44.100948, 48.579031, 49.196169, 60.646522, 222.183279], [20.397148, 20.963115, 23.586057, 23.808317, 25.541370, 29.670974, 31.962171, 35.666167, 41.279655, 235.452013], [30.466735, 33.052949, 33.374784, 33.756965, 37.105540, 42.463042, 46.043145, 48.563333, 58.489833, 251.862386]]
### 6
fourier: [[14.270209, 15.101078, 15.691747, 15.792142, 16.976309, 21.084841, 22.010405, 23.450429, 28.039241, 142.585360], [3.341472, 3.415707, 3.473790, 4.008701, 4.424788, 4.920556, 5.065728, 5.752341, 6.146712, 46.227023], [11.259514, 12.244692, 12.873228, 12.916131, 13.794488, 16.528621, 17.870574, 18.928550, 22.332401, 125.648878], [0.427628, 0.459030, 0.466858, 0.485404, 0.492795, 0.501228, 0.511697, 0.565195, 0.769740, 53.849616], [9.489429, 9.544868, 10.234347, 10.600309, 11.095292, 13.902981, 14.269533, 15.498251, 18.596326, 113.237136], [12.953955, 13.270511, 14.599200, 14.864463, 16.275571, 19.132622, 19.709971, 22.927430, 26.181889, 165.433385], [80.750128, 86.991529, 88.400376, 89.922302, 98.623867, 116.983360, 124.625159, 129.458211, 157.307279, 616.636290], [3.939703, 4.475036, 4.713496, 4.735045, 4.948445, 5.362621, 6.393676, 6.681085, 7.697521, 68.600158]]
### 8
fourier: [[3.957414, 4.215987, 4.407121, 4.497083, 4.805342, 5.600184, 6.116472, 6.461123, 7.744707, 44.105280], [1.809871, 1.818229, 2.006230, 2.401205, 2.416060, 2.459237, 2.741747, 3.246207, 3.407566, 65.607894], [44.848284, 47.676604, 49.583977, 49.604101, 55.022778, 65.656827, 69.228660, 71.490374, 87.330022, 293.486789], [17.963427, 19.247504, 19.867334, 20.283885, 21.710689, 25.440551, 27.696597, 29.108030, 34.995622, 198.601567], [6.316205, 6.789313, 6.961891, 7.152501, 7.743513, 9.056124, 9.785848, 10.304217, 12.401665, 70.562694], [8.393660, 8.923803, 9.368751, 9.536053, 10.141523, 11.819047, 12.952689, 13.682120, 16.386343, 55.558166], [1.929650, 1.986174, 2.097065, 2.444563, 2.481227, 2.637369, 2.856596, 3.423531, 3.521744, 56.164374], [18.846171, 19.315999, 20.437549, 21.403971, 23.414796, 28.364811, 29.106044, 29.595321, 36.667839, 98.958066]]
### 10
fourier: [[31.744182, 32.835688, 35.746157, 38.572959, 40.908181, 48.798114, 51.247762, 51.909870, 63.257005, 167.394908], [12.268395, 12.298531, 13.778105, 15.609716, 16.167672, 19.516337, 20.171886, 20.236591, 20.802330, 24.883974], [5.539270, 6.111425, 6.208043, 6.447683, 6.990468, 8.155224, 8.838810, 9.124717, 10.956739, 13.678689], [27.484932, 28.819641, 31.108577, 32.890553, 35.244056, 41.829526, 44.199975, 45.017676, 54.623583, 170.809031], [24.255979, 25.144799, 27.242964, 29.288225, 31.155551, 37.153268, 38.966723, 39.536035, 48.147637, 133.115865], [13.571382, 14.704377, 15.378477, 15.449141, 17.055667, 20.060368, 21.385165, 22.029492, 26.547434, 95.059420], [14.371882, 15.351214, 16.508008, 17.119177, 18.417725, 21.636874, 23.262713, 23.881569, 28.721486, 99.392555], [5.308913, 5.329916, 5.610743, 5.927232, 6.583059, 7.928747, 7.969175, 8.083383, 9.960777, 27.028824]]
### 12
fourier: [[47.696679, 50.835001, 54.619652, 61.662378, 62.662785, 75.880790, 78.890534, 81.134924, 97.844576, 234.568619]]
## 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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{"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [47.696678793549026, 50.835001251063304, 54.619652193506695, 61.66237822353045, 62.662785498837266, 75.88079032712257, 78.89053439464966, 81.13492369739097, 97.84457586353521, 234.56861904263496]}}, "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": 8, "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": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.721675, -0.251418, -0.008364, 0.265904, 0.268397], [-0.262052, -0.206788, -0.059206, 0.432949, 0.320781], [0.190822, 0.021414, 0.076682, 0.392789, 0.69322], [-0.108989, 0.442342, 0.407749, -0.200887, -0.299153], [-0.065018, -0.228175, 0.421742, -0.356256, 0.033481], [-0.423822, 0.277023, 0.356264, 0.318909, -0.114189], [0.616723, 0.004694, -0.050636, -0.036979, -0.326753], [0.239614, -0.218205, 0.001976, 0.312163, 0.640126]], "network.0.bias": [0.313726, 0.327181, 0.021933, 0.14331, 0.099424, 0.238684, -0.168381, 0.05454], "network.2.weight": [[-0.152184, 0.154964, -0.012342, 0.170697, -0.285664, 0.092869, -0.017739, -0.266253], [-0.217624, 0.125774, -0.414971, -0.053701, 0.015084, 0.121008, -0.185016, 0.191874], [-0.411358, -0.477131, 0.086739, 0.335632, -0.160127, -0.104461, 0.408026, -0.010221], [-0.173212, -0.048232, -0.431083, -0.273584, -0.385893, -0.382388, 0.183668, 0.255033], [0.595705, 0.252096, 0.421665, -0.178585, -0.358904, -0.305981, 0.34043, 0.430858], [0.548362, -0.042878, -0.059597, 0.210218, -0.157242, 0.063404, 0.050436, 0.461512], [0.023638, -0.152979, 0.130705, -0.393284, 0.130864, 0.012904, 0.063951, -0.341624], [0.588857, 0.376566, 0.360181, -0.424806, 0.030966, -0.124852, 0.687163, 0.66637]], "network.2.bias": [-0.289698, -0.199792, -0.185844, 0.121498, -0.261488, -0.053261, -0.290867, -0.196098], "network.4.weight": [[0.181777, -0.030792, 0.195256, -0.173842, 0.614187, 0.179625, 0.233026, 0.454619], [-0.325514, -0.027509, 0.351272, -0.287637, 0.660729, 0.195042, -0.228448, 0.510434], [-0.117677, 0.341595, -0.139873, 0.045394, 0.097854, 0.17579, -0.017684, -0.117026], [-0.238432, -0.225113, 0.285132, -0.039454, 0.227299, 0.535375, -0.176058, 0.119131], [0.043395, -0.442322, -0.059797, 0.221038, -0.003668, 0.237834, -0.202112, 0.332723], [-0.065201, -0.352039, -0.285734, 0.210484, 0.50517, -0.003431, 0.168909, 0.552516], [0.070957, -0.241368, -0.265645, 0.007803, -0.073568, 0.685589, 0.400392, 0.39556], [-0.372573, 0.017222, -0.460927, -0.129605, 0.43116, 0.263911, -0.258938, 0.448991]], "network.4.bias": [-0.314471, -0.122849, -0.071432, -0.101429, -0.233681, -0.093876, 0.572845, 0.266855], "network.6.weight": [[-0.321926, -0.239479, 0.079229, 0.004118, 0.09371, 0.127818, -0.279439, 0.183218], [-0.414361, -0.307107, 0.199346, -0.165111, 0.25772, 0.025096, 0.464318, 0.3454], [-0.319776, 0.114526, -0.211364, 0.108464, -0.306515, 0.069433, -0.246566, 0.013381], [0.184161, -0.136037, -0.234609, -0.136068, -0.41033, -0.031023, 0.304378, 0.05544], [0.189982, -0.43817, -0.012753, -0.041386, -0.189553, 0.083712, -0.104243, 0.113469], [0.08731, 0.047289, -0.2939, -0.393981, 0.214444, 0.005147, -0.367554, -0.195103], [0.474884, 0.656665, -0.057571, 0.303015, 0.369214, 0.51107, 0.08408, 0.435018], [-0.33541, 0.184115, -0.120857, 0.306163, 0.05018, 0.115152, -0.308138, -0.094384]], "network.6.bias": [-0.243269, 0.23297, -0.288508, 0.348222, -0.408635, -0.29502, 0.029199, -0.192807], "network.8.weight": [[-0.023904, -0.106665, 0.279392, 0.072563, 0.165718, -0.147304, -0.052613, 0.130041], [-0.164013, 0.361481, 0.160566, 0.235065, -0.196404, 0.220284, -0.008725, 0.314999], [0.039161, -0.35222, 0.081773, -0.269436, -0.096696, -0.048423, 0.542479, -0.294428], [-0.350504, -0.269436, -0.154997, -0.311497, -0.072398, -0.275755, -0.232471, -0.089804], [0.13267, -0.167438, 0.304979, 0.339265, -0.186778, -0.004639, -0.083475, 0.001411], [0.168453, 0.202233, 0.324231, 0.038544, -0.354221, 0.166349, 0.111098, -0.064013], [-0.277476, 0.476921, 0.141765, -0.041588, 0.13173, -0.044473, -0.006334, -0.039288], [0.336002, -0.516823, -0.132007, -0.53217, -0.102064, -0.013527, 0.214085, -0.237042]], "network.8.bias": [-0.116786, 0.45761, -0.10901, -0.285533, -0.326851, -0.273513, 0.440995, 0.223504], "network.10.weight": [[-0.228109, -0.437165, 0.495541, -0.274387, 0.001537, 0.166974, -0.515126, 0.456027], [-0.113314, 0.56139, -0.006677, -0.322469, 0.053033, -0.429275, 0.42893, -0.415332], [-0.111561, -0.089272, -0.080217, -0.14195, -0.285833, -0.412161, 0.014435, 0.061131], [0.08281, -0.493582, 0.501005, 0.069298, -0.279111, 0.153074, 0.053133, 0.247982], [0.176139, -0.465299, 0.465659, 0.197174, -0.107907, -0.11355, -0.196175, 0.246256], [0.32426, 0.223153, 0.370636, 0.257651, -0.278656, 0.167678, -0.090713, -0.204435], [-0.161112, -0.018667, 0.242834, 0.268108, -0.155134, 0.14586, 0.27228, 0.200525], [0.119084, 0.251591, -0.187058, -0.200182, -0.290274, -0.03686, 0.488897, 0.26441]], "network.10.bias": [0.163732, 0.361838, 0.363611, 0.134058, 0.14239, -0.155113, -0.209752, 0.141092], "network.12.weight": [[-0.548069, 0.350989, 0.077751, -0.488288, -0.426682, -0.112621, -0.38226, 0.408954]], "network.12.bias": [0.338501]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6912227272987366, "train_acc": 0.535, "val_loss": 0.6896303296089172, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6809789836406708, "train_acc": 0.56, "val_loss": 0.678175687789917, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6624161601066589, "train_acc": 0.56, "val_loss": 0.6365202069282532, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6391477584838867, "train_acc": 0.495, "val_loss": 0.49995097517967224, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5267238318920135, "train_acc": 0.825, "val_loss": 0.35199829936027527, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4014870822429657, "train_acc": 0.85, "val_loss": 0.28115639090538025, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.372334823012352, "train_acc": 0.85, "val_loss": 0.2341165989637375, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.32663844525814056, "train_acc": 0.86, "val_loss": 0.20364487171173096, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3085011839866638, "train_acc": 0.855, "val_loss": 0.17016583681106567, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.28514543920755386, "train_acc": 0.865, "val_loss": 0.3174591362476349, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.36977560818195343, "train_acc": 0.84, "val_loss": 0.1684606522321701, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.40457765758037567, "train_acc": 0.85, "val_loss": 0.20351465046405792, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3529227077960968, "train_acc": 0.85, "val_loss": 0.17257381975650787, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6896303296089172, "final_val_loss": 0.6365202069282532, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.49995097517967224, "final_val_loss": 0.17257381975650787, "initial_val_acc": 0.92, "final_val_acc": 0.92, "best_val_acc": 0.96, "best_epoch": 6}, "improvement": 0.43999999999999995, "first_improvement_epoch": 2}}
|
113
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.46, "improved_accuracy": 0.8, "improvement": 0.34, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2258, "learning_rate": 0.0886809520122628, "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: 5
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: [[21.457102, 21.536015, 22.746515, 23.042525, 27.456696, 28.501046, 28.790516, 31.512342, 36.479154, 263.058865], [20.354975, 21.974029, 22.202274, 23.251780, 23.888106, 24.250879, 25.171834, 26.097647, 28.199201, 163.094175], [10.395571, 10.689097, 11.391343, 12.062707, 12.370735, 12.372180, 14.341964, 14.684135, 14.990017, 29.554070], [13.329765, 13.609974, 13.683954, 14.611328, 15.811968, 15.954567, 16.723684, 20.073438, 23.522083, 157.763518], [20.391903, 21.225699, 21.672412, 21.823660, 24.385012, 25.093239, 29.649784, 30.237829, 30.491644, 195.462599], [12.245091, 12.245453, 12.817497, 13.975651, 15.301440, 16.260645, 18.063797, 18.597725, 19.249115, 143.445413], [15.289159, 15.342300, 15.588905, 16.668780, 17.902335, 18.642060, 18.735399, 18.967060, 18.983054, 19.103392]]
### 2
fourier: [[4.666692, 4.707544, 4.780052, 4.885754, 4.983629, 5.054504, 5.102871, 5.366425, 6.901324, 50.468069], [6.298728, 6.563056, 6.577210, 6.604758, 6.612438, 6.616681, 7.157242, 7.894072, 8.229680, 88.276932], [6.670679, 6.849925, 7.089060, 7.622852, 7.689871, 7.941459, 8.129558, 8.465122, 8.560070, 12.133746], [4.551500, 4.978592, 5.129979, 5.190595, 5.206992, 5.451007, 5.608838, 5.686916, 7.084313, 41.124621], [8.619601, 8.723064, 9.176110, 9.640472, 9.796591, 9.805712, 9.839967, 10.872710, 11.171632, 83.952392], [10.518815, 10.834628, 11.716162, 11.896448, 12.019295, 12.042516, 12.863590, 13.292826, 14.477524, 51.051065], [7.471396, 7.787514, 7.821509, 8.235401, 8.761495, 8.955854, 9.045112, 9.524293, 9.778773, 89.256857]]
### 4
fourier: [[7.949533, 7.951034, 8.102673, 8.236824, 8.241528, 8.268841, 9.159612, 9.387675, 10.107443, 132.221275], [6.375208, 6.620422, 6.808838, 7.068683, 7.339103, 7.425792, 7.584323, 7.858835, 8.898126, 36.228432], [13.543102, 13.562129, 13.790496, 13.943081, 14.049712, 14.522040, 15.351776, 15.951309, 16.363252, 67.061370], [2.002737, 2.026828, 2.058272, 2.081818, 2.326919, 2.337086, 2.489970, 2.495946, 2.496267, 3.225713], [7.372244, 7.665649, 8.081423, 8.223143, 8.574994, 9.054390, 9.246340, 9.327987, 10.039449, 63.131200], [10.148027, 10.189290, 10.797218, 10.804102, 11.179076, 11.628864, 11.919940, 11.977348, 12.440740, 13.155280], [4.584120, 4.686791, 4.751515, 4.868977, 4.897936, 5.089919, 5.197255, 5.401446, 5.991855, 60.580796]]
### 6
fourier: [[8.689346, 8.729955, 8.750003, 9.172617, 9.433724, 9.494666, 10.052598, 10.333299, 10.714058, 89.254210], [12.732229, 12.815657, 12.898514, 12.902039, 13.134158, 13.155692, 13.798814, 14.317888, 15.087437, 15.668401], [5.369029, 5.467897, 5.568524, 5.618375, 5.620100, 5.639631, 5.845341, 6.154097, 6.840989, 21.802891], [9.639881, 10.001521, 10.511349, 10.532029, 10.574213, 10.926852, 11.297535, 11.618281, 12.420337, 23.539301], [5.910446, 5.942262, 5.952910, 6.384647, 6.431320, 6.481177, 6.641950, 6.702187, 6.714479, 7.465209], [8.166566, 8.305478, 8.576182, 8.686024, 8.857442, 8.926509, 8.995319, 9.613015, 9.665487, 54.418509], [8.380096, 8.486841, 8.718558, 8.770381, 8.835871, 9.187131, 9.518756, 10.104083, 10.385133, 123.641440]]
### 8
fourier: [[7.694135, 7.889914, 8.107802, 8.157013, 8.384371, 8.513599, 8.670217, 8.906319, 11.459985, 70.347864], [5.832697, 6.002272, 6.037266, 6.413768, 6.567486, 6.619983, 6.633037, 6.659558, 6.908647, 92.509444], [10.339166, 10.917884, 11.290244, 11.566484, 11.765353, 12.069968, 12.104831, 12.619147, 15.296147, 56.734725], [2.034864, 2.079422, 2.101891, 2.228563, 2.241812, 2.271451, 2.462747, 2.512817, 2.580112, 6.243049], [5.181957, 5.204729, 5.408376, 5.418297, 5.707865, 5.825433, 6.018836, 6.087492, 7.260732, 12.192735], [3.344376, 3.530486, 3.569259, 3.579066, 3.732276, 3.847981, 3.858179, 3.892646, 4.003777, 24.661057], [2.793539, 2.968655, 3.030823, 3.147339, 3.164221, 3.331223, 3.377490, 3.459386, 4.122633, 14.944664]]
### 10
fourier: [[7.021460, 7.102741, 7.315207, 7.424115, 7.619740, 7.772001, 7.865674, 7.952259, 10.672971, 65.450657]]
## 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: 5
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: [[21.457102, 21.536015, 22.746515, 23.042525, 27.456696, 28.501046, 28.790516, 31.512342, 36.479154, 263.058865], [20.354975, 21.974029, 22.202274, 23.251780, 23.888106, 24.250879, 25.171834, 26.097647, 28.199201, 163.094175], [10.395571, 10.689097, 11.391343, 12.062707, 12.370735, 12.372180, 14.341964, 14.684135, 14.990017, 29.554070], [13.329765, 13.609974, 13.683954, 14.611328, 15.811968, 15.954567, 16.723684, 20.073438, 23.522083, 157.763518], [20.391903, 21.225699, 21.672412, 21.823660, 24.385012, 25.093239, 29.649784, 30.237829, 30.491644, 195.462599], [12.245091, 12.245453, 12.817497, 13.975651, 15.301440, 16.260645, 18.063797, 18.597725, 19.249115, 143.445413], [15.289159, 15.342300, 15.588905, 16.668780, 17.902335, 18.642060, 18.735399, 18.967060, 18.983054, 19.103392]]
### 2
fourier: [[4.666692, 4.707544, 4.780052, 4.885754, 4.983629, 5.054504, 5.102871, 5.366425, 6.901324, 50.468069], [6.298728, 6.563056, 6.577210, 6.604758, 6.612438, 6.616681, 7.157242, 7.894072, 8.229680, 88.276932], [6.670679, 6.849925, 7.089060, 7.622852, 7.689871, 7.941459, 8.129558, 8.465122, 8.560070, 12.133746], [4.551500, 4.978592, 5.129979, 5.190595, 5.206992, 5.451007, 5.608838, 5.686916, 7.084313, 41.124621], [8.619601, 8.723064, 9.176110, 9.640472, 9.796591, 9.805712, 9.839967, 10.872710, 11.171632, 83.952392], [10.518815, 10.834628, 11.716162, 11.896448, 12.019295, 12.042516, 12.863590, 13.292826, 14.477524, 51.051065], [7.471396, 7.787514, 7.821509, 8.235401, 8.761495, 8.955854, 9.045112, 9.524293, 9.778773, 89.256857]]
### 4
fourier: [[7.949533, 7.951034, 8.102673, 8.236824, 8.241528, 8.268841, 9.159612, 9.387675, 10.107443, 132.221275], [6.375208, 6.620422, 6.808838, 7.068683, 7.339103, 7.425792, 7.584323, 7.858835, 8.898126, 36.228432], [13.543102, 13.562129, 13.790496, 13.943081, 14.049712, 14.522040, 15.351776, 15.951309, 16.363252, 67.061370], [2.002737, 2.026828, 2.058272, 2.081818, 2.326919, 2.337086, 2.489970, 2.495946, 2.496267, 3.225713], [7.372244, 7.665649, 8.081423, 8.223143, 8.574994, 9.054390, 9.246340, 9.327987, 10.039449, 63.131200], [10.148027, 10.189290, 10.797218, 10.804102, 11.179076, 11.628864, 11.919940, 11.977348, 12.440740, 13.155280], [4.584120, 4.686791, 4.751515, 4.868977, 4.897936, 5.089919, 5.197255, 5.401446, 5.991855, 60.580796]]
### 6
fourier: [[8.689346, 8.729955, 8.750003, 9.172617, 9.433724, 9.494666, 10.052598, 10.333299, 10.714058, 89.254210], [12.732229, 12.815657, 12.898514, 12.902039, 13.134158, 13.155692, 13.798814, 14.317888, 15.087437, 15.668401], [5.369029, 5.467897, 5.568524, 5.618375, 5.620100, 5.639631, 5.845341, 6.154097, 6.840989, 21.802891], [9.639881, 10.001521, 10.511349, 10.532029, 10.574213, 10.926852, 11.297535, 11.618281, 12.420337, 23.539301], [5.910446, 5.942262, 5.952910, 6.384647, 6.431320, 6.481177, 6.641950, 6.702187, 6.714479, 7.465209], [8.166566, 8.305478, 8.576182, 8.686024, 8.857442, 8.926509, 8.995319, 9.613015, 9.665487, 54.418509], [8.380096, 8.486841, 8.718558, 8.770381, 8.835871, 9.187131, 9.518756, 10.104083, 10.385133, 123.641440]]
### 8
fourier: [[7.694135, 7.889914, 8.107802, 8.157013, 8.384371, 8.513599, 8.670217, 8.906319, 11.459985, 70.347864], [5.832697, 6.002272, 6.037266, 6.413768, 6.567486, 6.619983, 6.633037, 6.659558, 6.908647, 92.509444], [10.339166, 10.917884, 11.290244, 11.566484, 11.765353, 12.069968, 12.104831, 12.619147, 15.296147, 56.734725], [2.034864, 2.079422, 2.101891, 2.228563, 2.241812, 2.271451, 2.462747, 2.512817, 2.580112, 6.243049], [5.181957, 5.204729, 5.408376, 5.418297, 5.707865, 5.825433, 6.018836, 6.087492, 7.260732, 12.192735], [3.344376, 3.530486, 3.569259, 3.579066, 3.732276, 3.847981, 3.858179, 3.892646, 4.003777, 24.661057], [2.793539, 2.968655, 3.030823, 3.147339, 3.164221, 3.331223, 3.377490, 3.459386, 4.122633, 14.944664]]
### 10
fourier: [[7.021460, 7.102741, 7.315207, 7.424115, 7.619740, 7.772001, 7.865674, 7.952259, 10.672971, 65.450657]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [21.457102459797298, 21.53601504431213, 22.746515416841127, 23.042525466046435, 27.456696414141852, 28.501046068305644, 28.79051630660776, 31.51234240642821, 36.4791539744257, 263.05886498093605]}, "1": {"fourier": [20.354975013658443, 21.97402864866972, 22.202274195836885, 23.251779785183338, 23.888105927853267, 24.25087938784751, 25.171833605576246, 26.097647225475182, 28.199201072065012, 163.0941749960184]}, "2": {"fourier": [10.395571288536212, 10.689097286799887, 11.391342551182964, 12.062706536494241, 12.370735495897412, 12.372180250223712, 14.341963561737062, 14.684134748290004, 14.990017086210907, 29.554069995880127]}, "3": {"fourier": [13.329765299397561, 13.609974394064748, 13.683954072482795, 14.611328217503159, 15.811967937512906, 15.954566678536004, 16.723684107245113, 20.073438112653562, 23.522082817446464, 157.76351809501648]}, "4": {"fourier": [20.39190270991158, 21.22569924341871, 21.67241156723845, 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"layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [7.021459817503592, 7.10274109471699, 7.315207066240289, 7.424115184903469, 7.619740215995501, 7.772001437350565, 7.865673853301738, 7.952259301335984, 10.672971200474496, 65.4506567120552]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.240672, -0.13832, -0.445899, -0.294155, -0.417382], [-0.255654, 0.230931, -0.043158, 0.491695, 0.497567], [0.104367, -0.143091, 0.177172, -0.244504, 0.142488], [-0.070252, -0.116324, -0.39701, -0.014624, -0.23215], [-0.172745, 0.217159, -0.182695, -0.488935, -0.551544], [-0.07237, -0.191311, -0.066521, -0.197944, -0.328425], [-0.160038, -0.442728, -0.048198, 0.41204, 0.172084]], "network.0.bias": [-0.29432, 0.131571, 0.43774, -0.306547, -0.242187, -0.186675, 0.039557], "network.2.weight": [[-0.3604, -0.072121, -0.030683, -0.244235, -0.463462, -0.142384, 0.538209], [-0.052858, -0.301686, 0.242399, 0.103631, 0.215055, 0.1115, 0.12137], [0.275038, 0.256941, -0.284672, 0.495927, 0.231114, 0.241159, 0.001836], [-0.410782, -0.091196, 0.332813, 0.237598, 0.036964, -0.174802, -0.135962], [-0.260707, 0.378903, -0.350121, 0.39521, -0.049538, 0.200027, -0.07977], [0.734414, 0.579516, -0.14142, 0.083033, 0.186188, 0.466614, -0.512106], [0.335662, 0.378328, 0.052553, -0.200891, 0.490277, -0.249296, -0.085951]], "network.2.bias": [0.434599, -0.553761, -0.398414, -0.382014, 0.459431, -0.136065, 0.335905], "network.4.weight": [[0.195056, 0.209862, 0.272774, -0.121555, -0.498468, 0.005718, -0.5943], [-0.199821, -0.162387, -0.152939, 0.167251, 0.208275, 0.422996, 0.181165], [-0.119066, -0.017658, 0.492608, 0.112025, 0.432466, 0.342961, 0.563321], [0.020116, 0.448304, -0.291329, -0.189843, -0.128601, 0.0466, -0.066736], [-0.659031, -0.233532, -0.274813, 0.411005, 0.354361, 0.451159, 0.143224], [-0.601816, 0.345489, 0.624629, -0.074756, 0.366565, 0.536457, -0.030925], [0.497041, -0.219778, -0.145616, -0.221749, 0.005683, -0.345635, -0.012106]], "network.4.bias": [-0.62643, -0.068747, -0.244389, 0.144833, 0.344839, -0.165323, 0.607297], "network.6.weight": [[-0.216503, 0.163464, 0.238324, 0.378562, 0.425364, 0.314363, 0.152034], [-0.170046, -0.004098, -0.602114, 0.114113, -0.022158, -0.526047, 0.216385], [-0.757589, 0.100684, -0.35512, 0.322396, -0.003854, 0.00201, 0.212304], [-0.088292, -0.59404, -0.16498, 0.26169, 0.181523, -0.430107, 0.625122], [-0.051429, 0.601332, -0.005991, 0.081643, 0.264441, -0.006348, -0.125372], [-0.116567, 0.012558, -0.450396, 0.1463, 0.291886, -0.647734, -0.325631], [0.683886, -0.117897, -0.455436, -0.438425, -0.56774, -0.04112, -0.527184]], "network.6.bias": [0.337568, 0.401169, 0.269204, 0.232674, -0.215443, -0.133581, -0.312118], "network.8.weight": [[-0.147193, 0.671316, 0.388231, 0.37225, -0.275162, 0.207306, -0.737547], [-0.600099, -0.259662, 0.631693, -0.197535, -0.121585, -0.356977, 0.649896], [-0.326858, 0.833701, 0.097987, 0.433531, -0.644952, -0.169207, -0.790417], [0.316067, 0.431731, -0.327262, -0.175998, -0.309034, 0.383653, 0.329122], [0.206627, -0.625229, -0.2237, 0.161805, 0.257932, 0.082949, 0.456759], [-0.399491, -0.327661, -0.11983, 0.205694, -0.060487, 0.416728, 0.197429], [-0.009857, -0.23062, -0.225181, -0.017094, 0.351776, 0.163456, 0.276798]], "network.8.bias": [0.505958, -0.459754, 0.504531, -0.062147, -0.141168, 0.170643, -0.039589], "network.10.weight": [[-0.242073, 0.219573, -0.558248, 0.120862, 0.324377, -0.117993, 0.072201]], "network.10.bias": [-0.172294]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6926624774932861, "train_acc": 0.495, "val_loss": 0.688981831073761, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6902424991130829, "train_acc": 0.51, "val_loss": 0.6527982950210571, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6704088449478149, "train_acc": 0.535, "val_loss": 0.5846710801124573, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.8841416537761688, "train_acc": 0.66, "val_loss": 0.5841535925865173, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.59806889295578, "train_acc": 0.675, "val_loss": 0.6139009594917297, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6176295280456543, "train_acc": 0.65, "val_loss": 0.610149621963501, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6577794551849365, "train_acc": 0.615, "val_loss": 0.6074990630149841, "val_acc": 0.66}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.688981831073761, "final_val_loss": 0.6527982950210571, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5846710801124573, "final_val_loss": 0.6074990630149841, "initial_val_acc": 0.8, "final_val_acc": 0.66, "best_val_acc": 0.8, "best_epoch": 2}, "improvement": 0.34, "first_improvement_epoch": 1}}
|
114
|
{"target_pattern": "alternating", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7736, "learning_rate": 0.053853333531890014, "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.2.weight": [
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"network.4.weight": [
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## Activation Signature
### 0
fourier: [[37.765429, 39.288096, 40.170360, 42.292767, 44.540488, 48.378159, 49.203199, 52.486166, 59.046356, 221.959628], [15.115709, 16.176522, 17.221389, 17.462018, 17.521618, 18.703570, 19.041903, 22.933372, 25.218913, 155.645877], [17.375788, 17.678203, 18.664677, 18.719599, 19.502810, 21.506999, 22.499158, 22.852353, 27.762583, 114.569497], [22.517226, 23.246377, 23.463068, 24.582309, 25.353993, 25.372921, 26.058278, 28.792284, 31.677272, 32.019672], [53.678867, 57.636186, 58.092711, 59.740243, 66.715935, 69.210169, 73.743594, 87.040920, 91.637510, 243.742956], [22.954461, 25.079784, 25.129651, 25.895353, 26.589773, 27.478804, 28.406861, 30.954876, 33.028411, 139.297155], [23.583305, 23.640824, 23.854739, 24.442105, 26.760604, 27.536069, 31.133585, 33.852683, 34.221008, 39.075786]]
### 2
fourier: [[12.264885, 12.331088, 12.508236, 13.455616, 14.118652, 14.146315, 15.614518, 17.384305, 21.006179, 47.976916], [10.757758, 11.091327, 11.133822, 12.013220, 12.741231, 14.204235, 14.577543, 15.604745, 17.702268, 101.793208], [22.127073, 22.451031, 22.474336, 23.189810, 24.646585, 25.570799, 25.602353, 26.426117, 27.622938, 35.319132], [17.815562, 20.631266, 22.619526, 22.778139, 23.506191, 23.641340, 24.337311, 24.955843, 25.377367, 60.869106], [11.206728, 11.387285, 11.680786, 12.090657, 12.169927, 13.438874, 13.903770, 17.221444, 17.842339, 21.717341], [17.691606, 19.276857, 19.359014, 20.431514, 21.421748, 27.438374, 27.514297, 30.192511, 30.296360, 103.346857], [19.449286, 19.645864, 21.254665, 21.748244, 24.294979, 26.183437, 26.974186, 28.891204, 31.095428, 35.042010]]
### 4
fourier: [[7.114954, 7.371372, 8.941617, 9.139517, 9.362480, 11.277861, 11.286108, 12.282121, 13.151243, 58.736178], [4.232118, 4.254114, 4.512187, 4.534330, 4.921011, 5.388198, 5.696072, 6.159653, 6.437106, 26.650494], [39.600356, 40.383646, 41.128326, 42.075764, 45.316821, 47.709155, 51.206773, 53.837551, 55.136310, 226.541887], [21.487277, 21.523978, 21.946453, 23.983594, 24.528992, 27.788170, 29.323534, 30.502527, 32.330864, 136.791562], [28.477927, 29.310500, 29.596345, 31.730463, 34.449168, 35.056052, 39.443061, 39.778109, 40.908287, 177.391078], [6.633618, 6.868457, 7.089767, 7.797612, 8.129561, 8.474833, 8.943908, 11.359556, 11.579377, 88.833321], [34.157881, 35.263435, 35.399667, 36.288774, 40.867800, 42.147389, 45.988932, 46.685027, 47.535065, 201.598558]]
### 6
fourier: [[29.421170, 30.070256, 30.920648, 31.591016, 33.003423, 34.740829, 38.831393, 40.020378, 40.702402, 207.003134], [68.216293, 72.732020, 73.148558, 74.127268, 77.433010, 84.336299, 92.451053, 96.678613, 99.366825, 420.053391], [18.370196, 19.128095, 19.643887, 20.474650, 20.762451, 23.106606, 25.100398, 26.331214, 27.282740, 151.909100], [44.365754, 47.087486, 47.195240, 47.305292, 50.384098, 54.129489, 59.961696, 61.656497, 63.231406, 258.023702], [81.207686, 86.527796, 86.530189, 86.598592, 91.874624, 99.053521, 109.168751, 113.428037, 116.267844, 485.170217], [9.311197, 10.072660, 10.305146, 10.387883, 10.918216, 11.650544, 13.120156, 13.763972, 14.132835, 104.603906], [19.278193, 19.471552, 20.104590, 20.351376, 21.326649, 22.572352, 25.007937, 25.753655, 26.197514, 128.429973]]
### 8
fourier: [[84.234980, 89.107345, 89.699194, 90.576488, 93.205564, 102.391739, 112.459919, 117.841465, 120.585194, 528.903443], [111.182909, 117.462045, 118.276071, 119.181132, 122.747823, 134.840085, 148.211144, 155.014564, 158.506136, 654.276828], [15.777386, 16.744348, 16.971117, 17.432277, 17.673627, 19.590909, 21.377362, 22.569528, 23.205998, 148.356605], [101.996627, 107.862533, 108.645126, 109.741259, 112.848631, 124.046965, 136.226497, 142.708085, 146.033708, 588.281106], [11.421917, 12.102980, 12.139999, 12.233234, 12.641417, 13.836722, 15.210698, 15.959472, 16.327582, 77.747318], [112.351415, 118.800936, 119.646477, 120.804622, 124.266810, 136.572521, 150.004743, 157.110345, 160.752822, 701.135959], [103.076171, 109.050363, 109.858257, 111.085090, 114.150771, 125.516047, 137.785407, 144.441984, 147.857615, 600.070392]]
### 10
fourier: [[27.058457, 28.439087, 28.767471, 29.071568, 29.440057, 32.774967, 35.798524, 37.590941, 38.340041, 188.663136], [16.091062, 16.924404, 17.155763, 17.489018, 17.492849, 19.622536, 21.327706, 22.546184, 23.028106, 114.168574], [118.638413, 124.651908, 126.275786, 128.145699, 128.795779, 144.117326, 156.935700, 165.333792, 168.688297, 669.276275], [40.045251, 42.000761, 42.650146, 43.220637, 43.446359, 48.743453, 52.846214, 55.857067, 56.969887, 239.394298], [172.078036, 180.683012, 183.233786, 186.330078, 186.370611, 209.288143, 227.439527, 240.021100, 244.878105, 988.118219], [17.521932, 18.347239, 18.683907, 18.795164, 19.138786, 21.399094, 23.075278, 24.503005, 24.989004, 114.248079], [165.376560, 173.696349, 176.048712, 178.805815, 179.318029, 200.984871, 218.656057, 230.522592, 235.184159, 951.143066]]
### 12
fourier: [[122.625700, 128.622457, 130.596392, 132.374641, 132.911389, 149.193338, 161.835273, 170.925375, 174.292021, 634.566513]]
## 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: [[37.765429, 39.288096, 40.170360, 42.292767, 44.540488, 48.378159, 49.203199, 52.486166, 59.046356, 221.959628], [15.115709, 16.176522, 17.221389, 17.462018, 17.521618, 18.703570, 19.041903, 22.933372, 25.218913, 155.645877], [17.375788, 17.678203, 18.664677, 18.719599, 19.502810, 21.506999, 22.499158, 22.852353, 27.762583, 114.569497], [22.517226, 23.246377, 23.463068, 24.582309, 25.353993, 25.372921, 26.058278, 28.792284, 31.677272, 32.019672], [53.678867, 57.636186, 58.092711, 59.740243, 66.715935, 69.210169, 73.743594, 87.040920, 91.637510, 243.742956], [22.954461, 25.079784, 25.129651, 25.895353, 26.589773, 27.478804, 28.406861, 30.954876, 33.028411, 139.297155], [23.583305, 23.640824, 23.854739, 24.442105, 26.760604, 27.536069, 31.133585, 33.852683, 34.221008, 39.075786]]
### 2
fourier: [[12.264885, 12.331088, 12.508236, 13.455616, 14.118652, 14.146315, 15.614518, 17.384305, 21.006179, 47.976916], [10.757758, 11.091327, 11.133822, 12.013220, 12.741231, 14.204235, 14.577543, 15.604745, 17.702268, 101.793208], [22.127073, 22.451031, 22.474336, 23.189810, 24.646585, 25.570799, 25.602353, 26.426117, 27.622938, 35.319132], [17.815562, 20.631266, 22.619526, 22.778139, 23.506191, 23.641340, 24.337311, 24.955843, 25.377367, 60.869106], [11.206728, 11.387285, 11.680786, 12.090657, 12.169927, 13.438874, 13.903770, 17.221444, 17.842339, 21.717341], [17.691606, 19.276857, 19.359014, 20.431514, 21.421748, 27.438374, 27.514297, 30.192511, 30.296360, 103.346857], [19.449286, 19.645864, 21.254665, 21.748244, 24.294979, 26.183437, 26.974186, 28.891204, 31.095428, 35.042010]]
### 4
fourier: [[7.114954, 7.371372, 8.941617, 9.139517, 9.362480, 11.277861, 11.286108, 12.282121, 13.151243, 58.736178], [4.232118, 4.254114, 4.512187, 4.534330, 4.921011, 5.388198, 5.696072, 6.159653, 6.437106, 26.650494], [39.600356, 40.383646, 41.128326, 42.075764, 45.316821, 47.709155, 51.206773, 53.837551, 55.136310, 226.541887], [21.487277, 21.523978, 21.946453, 23.983594, 24.528992, 27.788170, 29.323534, 30.502527, 32.330864, 136.791562], [28.477927, 29.310500, 29.596345, 31.730463, 34.449168, 35.056052, 39.443061, 39.778109, 40.908287, 177.391078], [6.633618, 6.868457, 7.089767, 7.797612, 8.129561, 8.474833, 8.943908, 11.359556, 11.579377, 88.833321], [34.157881, 35.263435, 35.399667, 36.288774, 40.867800, 42.147389, 45.988932, 46.685027, 47.535065, 201.598558]]
### 6
fourier: [[29.421170, 30.070256, 30.920648, 31.591016, 33.003423, 34.740829, 38.831393, 40.020378, 40.702402, 207.003134], [68.216293, 72.732020, 73.148558, 74.127268, 77.433010, 84.336299, 92.451053, 96.678613, 99.366825, 420.053391], [18.370196, 19.128095, 19.643887, 20.474650, 20.762451, 23.106606, 25.100398, 26.331214, 27.282740, 151.909100], [44.365754, 47.087486, 47.195240, 47.305292, 50.384098, 54.129489, 59.961696, 61.656497, 63.231406, 258.023702], [81.207686, 86.527796, 86.530189, 86.598592, 91.874624, 99.053521, 109.168751, 113.428037, 116.267844, 485.170217], [9.311197, 10.072660, 10.305146, 10.387883, 10.918216, 11.650544, 13.120156, 13.763972, 14.132835, 104.603906], [19.278193, 19.471552, 20.104590, 20.351376, 21.326649, 22.572352, 25.007937, 25.753655, 26.197514, 128.429973]]
### 8
fourier: [[84.234980, 89.107345, 89.699194, 90.576488, 93.205564, 102.391739, 112.459919, 117.841465, 120.585194, 528.903443], [111.182909, 117.462045, 118.276071, 119.181132, 122.747823, 134.840085, 148.211144, 155.014564, 158.506136, 654.276828], [15.777386, 16.744348, 16.971117, 17.432277, 17.673627, 19.590909, 21.377362, 22.569528, 23.205998, 148.356605], [101.996627, 107.862533, 108.645126, 109.741259, 112.848631, 124.046965, 136.226497, 142.708085, 146.033708, 588.281106], [11.421917, 12.102980, 12.139999, 12.233234, 12.641417, 13.836722, 15.210698, 15.959472, 16.327582, 77.747318], [112.351415, 118.800936, 119.646477, 120.804622, 124.266810, 136.572521, 150.004743, 157.110345, 160.752822, 701.135959], [103.076171, 109.050363, 109.858257, 111.085090, 114.150771, 125.516047, 137.785407, 144.441984, 147.857615, 600.070392]]
### 10
fourier: [[27.058457, 28.439087, 28.767471, 29.071568, 29.440057, 32.774967, 35.798524, 37.590941, 38.340041, 188.663136], [16.091062, 16.924404, 17.155763, 17.489018, 17.492849, 19.622536, 21.327706, 22.546184, 23.028106, 114.168574], [118.638413, 124.651908, 126.275786, 128.145699, 128.795779, 144.117326, 156.935700, 165.333792, 168.688297, 669.276275], [40.045251, 42.000761, 42.650146, 43.220637, 43.446359, 48.743453, 52.846214, 55.857067, 56.969887, 239.394298], [172.078036, 180.683012, 183.233786, 186.330078, 186.370611, 209.288143, 227.439527, 240.021100, 244.878105, 988.118219], [17.521932, 18.347239, 18.683907, 18.795164, 19.138786, 21.399094, 23.075278, 24.503005, 24.989004, 114.248079], [165.376560, 173.696349, 176.048712, 178.805815, 179.318029, 200.984871, 218.656057, 230.522592, 235.184159, 951.143066]]
### 12
fourier: [[122.625700, 128.622457, 130.596392, 132.374641, 132.911389, 149.193338, 161.835273, 170.925375, 174.292021, 634.566513]]
## 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": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.658509, -1.361109, 0.18895, -0.549081, 0.054693], [-0.351865, -0.227502, -0.105437, -0.22683, -0.103144], [0.588223, 0.222166, -0.35129, 0.202049, -0.134917], [0.205527, 0.321989, 0.491597, -0.298606, -0.540334], [-1.242478, 0.661959, -0.98567, 0.07803, -0.908327], [-0.517696, 0.035224, 0.571057, 0.308623, 0.510527], [-0.197523, -0.333434, 0.704878, 0.391196, -0.765565]], "network.0.bias": [-0.090131, -0.043082, 0.603068, -0.289501, 0.643599, -0.356543, -0.079541], "network.2.weight": [[-0.550955, 0.06748, -0.097741, 0.406162, -0.702197, 0.253993, 0.095309], [0.121395, 0.207435, 0.130348, -0.38495, 0.222023, -0.478122, 0.082954], [-0.479609, -0.315451, -0.575861, -0.031501, -0.541795, 0.424607, 0.531962], [-0.45475, -0.134229, -0.635229, -0.317617, -0.224278, 0.377058, 0.248397], [-0.305158, -0.078016, -0.342684, 0.423105, -0.315946, -0.2133, 0.37651], [-0.190431, -0.174962, 0.295889, 0.534222, -0.348959, -0.217441, 0.958627], [-0.54107, 0.012287, -0.670844, -0.11314, -0.707462, 0.374501, 0.206348]], "network.2.bias": [0.258262, -0.385758, 0.065233, -0.218117, 0.133986, 0.022998, 0.22026], "network.4.weight": [[-0.06416, -0.388843, 0.008827, -0.546967, 0.158465, -0.081303, -0.507783], [0.112471, 0.361187, -0.274553, -0.103922, -0.298983, 0.015049, 0.090955], [0.434242, 0.389509, 0.828039, 0.440892, 0.938078, 0.915478, 0.724202], [0.69343, -0.05027, 0.392697, 0.253478, 0.634309, 0.312492, 0.407952], [0.661446, 0.013303, 0.696583, 0.146737, 0.492638, 0.647162, 0.372432], [-0.213444, 0.102542, -0.458954, -0.148411, 0.143566, -0.055468, 0.173346], [0.61308, 0.414276, 0.677444, 0.086347, 0.95166, 0.723468, 0.72015]], "network.4.bias": [-0.119919, -0.126904, -0.41137, -0.182274, -0.296906, -0.462324, -0.353556], "network.6.weight": [[0.162285, -0.098924, -0.353712, 0.233271, -0.366903, -0.00736, -0.302764], [0.194908, -0.364783, 0.74115, 0.738984, 0.547102, 0.20011, 0.294079], [-0.085756, 0.357789, -0.12146, -0.459935, -0.122506, -0.056044, -0.025735], [-0.132865, -0.292334, 0.333683, 0.163795, 0.27112, -0.064713, 0.620148], [-0.201145, 0.307894, 0.880357, 0.385948, 0.578055, -0.134106, 0.70539], [-0.237538, 0.06042, -0.00035, -0.176384, -0.473959, 0.199642, 0.222993], [0.321776, -0.342402, -0.299882, 0.207812, 0.014134, -0.181701, -0.36373]], "network.6.bias": [-0.292464, -0.216519, -0.343607, -0.248117, -0.321406, -0.435948, -0.155354], "network.8.weight": [[-0.221973, -0.451925, -0.300194, -0.113845, -0.597511, 0.133408, 0.304793], [-0.101019, 0.354015, 0.153442, 0.56066, 0.768484, -0.133047, 0.218717], [-0.138493, -0.410536, -0.468355, 0.013179, 0.143072, -0.056947, 0.194158], [-0.152902, 0.598376, 0.105741, 0.287206, 0.599057, 0.145206, 0.210623], [0.055244, -0.024226, 0.182404, 0.078106, -0.16317, 0.102998, -0.309544], [0.346643, -0.605787, -0.217932, -0.329874, -0.697307, 0.032231, -0.281055], [0.031845, 0.727592, -0.051051, 0.19111, 0.55625, -0.392041, -0.268219]], "network.8.bias": [-0.135919, -0.255959, -0.53114, -0.413378, -0.085153, -0.14235, -0.376394], "network.10.weight": [[-0.113958, -0.291823, 0.042158, -0.133585, 0.1956, -0.178793, 0.183822], [-0.028518, 0.01779, 0.295585, 0.207982, 0.219823, -0.415241, -0.381616], [0.068028, -0.605462, -0.358992, -0.177809, -0.222481, -0.109887, -0.325571], [-0.12328, 0.0148, -0.242322, -0.366987, -0.322614, 0.041576, -0.043081], [-0.26344, 0.378897, 0.111341, 0.583043, -0.216547, -0.097628, 0.690047], [0.067359, 0.144013, 0.020812, -0.23672, 0.215447, -0.02557, -0.092128], [-0.050695, 0.644901, -0.181345, 0.492315, 0.169872, 0.20974, 0.427144]], "network.10.bias": [-0.309389, -0.197498, 0.400951, -0.033227, -0.362589, -0.126646, -0.341195], "network.12.weight": [[0.019889, -0.109747, 0.442003, 0.112794, -0.359491, 0.309589, -0.368148]], "network.12.bias": [0.810248]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7053627967834473, "train_acc": 0.395, "val_loss": 0.6970861554145813, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6726741194725037, "train_acc": 0.595, "val_loss": 0.7350274920463562, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6688724458217621, "train_acc": 0.595, "val_loss": 0.7241007089614868, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6269034743309021, "train_acc": 0.595, "val_loss": 0.6446011066436768, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6212484240531921, "train_acc": 0.505, "val_loss": 0.5388311743736267, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5265423357486725, "train_acc": 0.65, "val_loss": 0.47896960377693176, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.42763660848140717, "train_acc": 0.96, "val_loss": 0.3955312967300415, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.33635348081588745, "train_acc": 0.96, "val_loss": 0.35796141624450684, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3105604499578476, "train_acc": 0.95, "val_loss": 0.327078640460968, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.29920248687267303, "train_acc": 0.95, "val_loss": 0.2709328532218933, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.24906907230615616, "train_acc": 0.95, "val_loss": 0.30110058188438416, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.24949803203344345, "train_acc": 0.9, "val_loss": 0.21545566618442535, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.1983437016606331, "train_acc": 0.97, "val_loss": 0.20266982913017273, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.1774040162563324, "train_acc": 0.96, "val_loss": 0.17421621084213257, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6970861554145813, "final_val_loss": 0.6446011066436768, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5388311743736267, "final_val_loss": 0.17421621084213257, "initial_val_acc": 0.48, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 11}, "improvement": 0.48, "first_improvement_epoch": 3}}
|
115
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.56, "improved_accuracy": 0.78, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4366, "learning_rate": 0.09229432792759958, "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: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[33.188842, 33.843069, 36.422370, 36.919300, 40.405168, 44.460364, 47.521627, 47.708213, 59.226822, 73.208913], [30.704639, 31.748824, 32.162777, 33.243286, 39.108154, 45.480314, 46.070126, 55.268508, 55.725450, 154.694950], [16.328919, 16.343450, 16.863604, 16.937722, 17.311019, 18.367754, 19.105259, 23.694136, 26.969759, 168.884281], [19.584735, 20.287613, 22.828672, 23.090414, 23.736060, 27.104106, 28.522997, 29.601310, 31.559421, 261.455247], [37.561727, 42.007972, 42.251262, 46.329056, 47.265132, 47.538470, 48.255988, 60.372457, 62.287837, 122.080862], [25.444541, 25.488550, 31.674436, 31.866579, 33.179031, 33.243414, 33.440822, 33.946989, 38.549862, 94.110420]]
### 2
fourier: [[56.432722, 58.416307, 58.715214, 62.241163, 77.026199, 81.780983, 88.278997, 103.561380, 113.528079, 247.418447], [11.651820, 11.841154, 13.110153, 14.842853, 16.409096, 16.927450, 18.032584, 18.185446, 20.328405, 150.103520], [29.644708, 30.070688, 30.274990, 31.318882, 34.432582, 35.450244, 44.971833, 47.744977, 54.393515, 72.200719], [9.820724, 10.243892, 10.312761, 10.405476, 12.992753, 13.208961, 14.367161, 14.882821, 17.177969, 113.229095], [10.144515, 11.460061, 11.873174, 12.460930, 12.914664, 16.234485, 17.740238, 17.822647, 20.223910, 203.271576], [69.586116, 70.186506, 71.750160, 74.253016, 91.278607, 97.218664, 107.807101, 124.729295, 136.912100, 323.308994]]
### 4
fourier: [[79.637227, 82.978651, 83.375631, 101.520642, 106.920132, 116.738828, 116.988373, 141.434009, 163.528030, 419.475560], [38.479032, 40.202208, 40.778557, 49.108812, 52.157145, 56.835807, 57.182411, 69.015645, 79.209024, 259.358499], [106.912110, 111.471867, 112.829771, 136.280186, 144.330826, 157.372170, 157.947943, 190.674418, 219.618994, 609.215945], [58.486659, 60.692533, 61.626031, 74.296641, 78.613954, 85.497334, 85.841995, 103.235014, 119.514022, 287.289769], [32.183191, 32.254000, 32.868417, 40.573267, 41.367704, 44.210984, 45.658698, 53.803388, 64.754539, 199.397790], [76.208242, 78.517956, 78.919860, 96.414019, 100.815270, 109.288287, 110.049544, 131.743903, 154.617811, 403.572228]]
### 6
fourier: [[163.075697, 168.659563, 171.746387, 207.360134, 218.047416, 237.502912, 238.005810, 287.171647, 332.152122, 861.732239], [29.660665, 29.938012, 31.104940, 37.575742, 38.854123, 42.407855, 42.780222, 50.855898, 59.636589, 192.545170], [63.292093, 64.813393, 66.207118, 80.169553, 83.721227, 91.107936, 91.441300, 109.590862, 128.032002, 400.052793], [109.950689, 111.747109, 114.837108, 139.080116, 144.478916, 157.159774, 158.269936, 188.728518, 221.456009, 636.521228], [4.181633, 4.407934, 4.457380, 5.330803, 5.411381, 6.027585, 6.184629, 7.062601, 8.413738, 57.079068], [47.403476, 49.295570, 50.058583, 60.414987, 63.787575, 69.517253, 69.811510, 84.210996, 97.042703, 304.670567]]
### 8
fourier: [[167.189346, 169.766209, 175.229508, 211.309884, 219.822090, 238.968063, 240.039284, 287.040837, 336.099566, 936.193138], [73.324952, 74.302721, 77.471800, 92.499836, 96.540129, 104.644596, 104.799043, 125.953120, 146.753068, 335.590492], [51.656485, 52.372168, 54.466565, 65.196281, 67.987644, 73.830632, 73.833477, 88.720784, 103.502257, 298.688566], [111.501465, 113.202182, 116.934672, 140.906059, 146.618252, 159.371173, 160.013824, 191.439851, 224.075762, 556.699257], [82.864235, 84.189724, 86.658058, 104.785991, 108.910039, 118.442077, 119.166192, 142.246575, 166.782807, 487.809647], [7.422258, 7.505296, 7.612592, 9.460097, 9.700420, 10.612606, 10.941741, 12.714823, 15.213481, 80.879602]]
### 10
fourier: [[73.387688, 74.542658, 76.838263, 93.597976, 94.907961, 102.890832, 105.585676, 122.729988, 147.579223, 305.611614]]
## 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: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.962626
],
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1.146046
],
[
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## Activation Signature
### 0
fourier: [[33.188842, 33.843069, 36.422370, 36.919300, 40.405168, 44.460364, 47.521627, 47.708213, 59.226822, 73.208913], [30.704639, 31.748824, 32.162777, 33.243286, 39.108154, 45.480314, 46.070126, 55.268508, 55.725450, 154.694950], [16.328919, 16.343450, 16.863604, 16.937722, 17.311019, 18.367754, 19.105259, 23.694136, 26.969759, 168.884281], [19.584735, 20.287613, 22.828672, 23.090414, 23.736060, 27.104106, 28.522997, 29.601310, 31.559421, 261.455247], [37.561727, 42.007972, 42.251262, 46.329056, 47.265132, 47.538470, 48.255988, 60.372457, 62.287837, 122.080862], [25.444541, 25.488550, 31.674436, 31.866579, 33.179031, 33.243414, 33.440822, 33.946989, 38.549862, 94.110420]]
### 2
fourier: [[56.432722, 58.416307, 58.715214, 62.241163, 77.026199, 81.780983, 88.278997, 103.561380, 113.528079, 247.418447], [11.651820, 11.841154, 13.110153, 14.842853, 16.409096, 16.927450, 18.032584, 18.185446, 20.328405, 150.103520], [29.644708, 30.070688, 30.274990, 31.318882, 34.432582, 35.450244, 44.971833, 47.744977, 54.393515, 72.200719], [9.820724, 10.243892, 10.312761, 10.405476, 12.992753, 13.208961, 14.367161, 14.882821, 17.177969, 113.229095], [10.144515, 11.460061, 11.873174, 12.460930, 12.914664, 16.234485, 17.740238, 17.822647, 20.223910, 203.271576], [69.586116, 70.186506, 71.750160, 74.253016, 91.278607, 97.218664, 107.807101, 124.729295, 136.912100, 323.308994]]
### 4
fourier: [[79.637227, 82.978651, 83.375631, 101.520642, 106.920132, 116.738828, 116.988373, 141.434009, 163.528030, 419.475560], [38.479032, 40.202208, 40.778557, 49.108812, 52.157145, 56.835807, 57.182411, 69.015645, 79.209024, 259.358499], [106.912110, 111.471867, 112.829771, 136.280186, 144.330826, 157.372170, 157.947943, 190.674418, 219.618994, 609.215945], [58.486659, 60.692533, 61.626031, 74.296641, 78.613954, 85.497334, 85.841995, 103.235014, 119.514022, 287.289769], [32.183191, 32.254000, 32.868417, 40.573267, 41.367704, 44.210984, 45.658698, 53.803388, 64.754539, 199.397790], [76.208242, 78.517956, 78.919860, 96.414019, 100.815270, 109.288287, 110.049544, 131.743903, 154.617811, 403.572228]]
### 6
fourier: [[163.075697, 168.659563, 171.746387, 207.360134, 218.047416, 237.502912, 238.005810, 287.171647, 332.152122, 861.732239], [29.660665, 29.938012, 31.104940, 37.575742, 38.854123, 42.407855, 42.780222, 50.855898, 59.636589, 192.545170], [63.292093, 64.813393, 66.207118, 80.169553, 83.721227, 91.107936, 91.441300, 109.590862, 128.032002, 400.052793], [109.950689, 111.747109, 114.837108, 139.080116, 144.478916, 157.159774, 158.269936, 188.728518, 221.456009, 636.521228], [4.181633, 4.407934, 4.457380, 5.330803, 5.411381, 6.027585, 6.184629, 7.062601, 8.413738, 57.079068], [47.403476, 49.295570, 50.058583, 60.414987, 63.787575, 69.517253, 69.811510, 84.210996, 97.042703, 304.670567]]
### 8
fourier: [[167.189346, 169.766209, 175.229508, 211.309884, 219.822090, 238.968063, 240.039284, 287.040837, 336.099566, 936.193138], [73.324952, 74.302721, 77.471800, 92.499836, 96.540129, 104.644596, 104.799043, 125.953120, 146.753068, 335.590492], [51.656485, 52.372168, 54.466565, 65.196281, 67.987644, 73.830632, 73.833477, 88.720784, 103.502257, 298.688566], [111.501465, 113.202182, 116.934672, 140.906059, 146.618252, 159.371173, 160.013824, 191.439851, 224.075762, 556.699257], [82.864235, 84.189724, 86.658058, 104.785991, 108.910039, 118.442077, 119.166192, 142.246575, 166.782807, 487.809647], [7.422258, 7.505296, 7.612592, 9.460097, 9.700420, 10.612606, 10.941741, 12.714823, 15.213481, 80.879602]]
### 10
fourier: [[73.387688, 74.542658, 76.838263, 93.597976, 94.907961, 102.890832, 105.585676, 122.729988, 147.579223, 305.611614]]
## 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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"num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [73.38768804292522, 74.54265794420802, 76.83826255509348, 93.5979763266611, 94.907960659, 102.89083181877363, 105.58567553993441, 122.72998808582739, 147.5792228068094, 305.6116138100624]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "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": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.753143, -0.37556, 0.103716, -0.221931, 0.962626], [0.66301, 0.087571, -0.221217, -0.310299, 1.146046], [-0.066499, -0.189398, -0.451519, -0.053387, -0.256484], [-0.046994, -0.484616, -0.274058, -0.103881, -0.487532], [0.499487, -0.275167, 0.076919, -0.403838, 1.383965], [-0.232884, 0.549666, 0.569547, 0.048676, -0.860676]], "network.0.bias": [-0.367429, 0.44824, -0.074625, -0.566965, 0.234728, 0.101266], "network.2.weight": [[0.711429, 0.843878, -0.270721, -0.40359, 0.540313, -0.421007], [-0.21204, -0.249572, -0.549027, 0.045834, -0.015727, -0.301568], [0.143837, 0.343177, -0.324009, 0.054796, 0.399831, -0.416399], [0.035167, 0.23128, -0.007344, 0.692284, -0.56831, -0.151807], [0.233244, -0.514083, -0.103454, 0.099376, 0.006435, -0.636167], [0.903612, 0.9169, -0.084139, -0.351463, 0.677047, -0.604484]], "network.2.bias": [-0.330894, -0.410529, -0.226713, -0.497285, -0.666133, 0.105388], "network.4.weight": [[0.448335, -0.169607, 0.031555, -0.206294, -0.116108, 0.888454], [-0.348865, -0.286531, 0.117915, -0.212853, -0.246341, -0.370799], [0.963554, 0.33545, -0.163222, 0.105293, 0.537586, 0.971793], [-0.760201, 0.298401, -0.017744, -0.083919, 0.031355, -0.297089], [-0.119686, -0.072186, -0.54817, -0.439954, -0.278278, -0.204923], [0.862731, 0.246315, 0.469874, -0.048529, -0.211774, 0.321175]], "network.4.bias": [-0.491775, -0.375617, -0.149506, 0.527104, -0.268838, -0.257389], "network.6.weight": [[0.940791, 0.057558, 0.742578, -0.489336, -0.482017, 0.113195], [-0.136998, -0.389615, -0.265589, -0.341532, -0.243846, 0.126561], [-0.061991, 0.202349, -0.329937, -0.110421, 0.345849, -0.302441], [0.153352, 0.308376, 0.641907, 0.60767, 0.135458, 0.381343], [0.191522, 0.377632, -0.243826, -0.302119, -0.244766, 0.086441], [-0.045001, -0.329732, -0.404716, 0.072452, 0.413157, -0.007321]], "network.6.bias": [-0.462272, -0.163255, -0.480597, 0.058899, -0.225192, -0.387764], "network.8.weight": [[-0.48465, -0.171747, -0.074781, -0.800106, 0.203803, -0.345859], [0.70286, -0.326767, -0.517466, -0.377984, -0.104879, -0.344232], [-0.407473, -0.683558, -0.086817, 0.135935, -0.197604, 0.110982], [0.379592, -0.360843, -0.016724, 0.449803, 0.262309, -0.375306], [-0.088436, -0.120477, -0.011684, -0.62218, -0.328457, -0.076981], [0.199924, 0.38991, -0.308892, -0.364705, 0.327901, -0.113452]], "network.8.bias": [0.034698, -0.527384, -0.262909, -0.738042, -0.147877, -0.290333], "network.10.weight": [[0.001531, -0.259659, 0.047679, -0.49977, -0.068443, -0.003295]], "network.10.bias": [0.890105]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6938254833221436, "train_acc": 0.5, "val_loss": 0.6868581175804138, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6834960877895355, "train_acc": 0.55, "val_loss": 0.6811876893043518, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6737189292907715, "train_acc": 0.55, "val_loss": 0.6242114305496216, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6363819539546967, "train_acc": 0.485, "val_loss": 0.5192235708236694, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5530923306941986, "train_acc": 0.575, "val_loss": 0.49485844373703003, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5078359842300415, "train_acc": 0.79, "val_loss": 0.5350325107574463, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.49306969344615936, "train_acc": 0.76, "val_loss": 0.49367302656173706, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4608249366283417, "train_acc": 0.775, "val_loss": 0.4656795561313629, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.46354152262210846, "train_acc": 0.795, "val_loss": 0.4687415361404419, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.47410622239112854, "train_acc": 0.815, "val_loss": 0.4398843050003052, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4237314611673355, "train_acc": 0.815, "val_loss": 0.47196120023727417, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.42724549770355225, "train_acc": 0.805, "val_loss": 0.46507003903388977, "val_acc": 0.78}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.42532023787498474, "train_acc": 0.81, "val_loss": 0.46665725111961365, "val_acc": 0.74}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6868581175804138, "final_val_loss": 0.6242114305496216, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5192235708236694, "final_val_loss": 0.46665725111961365, "initial_val_acc": 0.56, "final_val_acc": 0.74, "best_val_acc": 0.78, "best_epoch": 9}, "improvement": 0.21999999999999997, "first_improvement_epoch": 2}}
|
116
|
{"target_pattern": "sorted_descending", "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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9845, "learning_rate": 0.08172799291554145, "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: 8
Activation Function: gelu
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: [[19.057428, 21.377739, 25.846476, 26.104468, 26.842856, 29.992466, 31.462317, 32.909138, 32.992553, 118.712381], [18.459385, 18.878204, 19.272455, 19.276812, 19.412229, 19.568139, 19.833772, 20.367473, 26.776510, 29.617873], [16.489291, 16.579016, 16.614512, 17.354666, 17.783328, 19.546946, 21.226757, 23.557029, 27.210525, 29.339462], [18.382704, 18.394805, 19.185138, 19.580676, 20.151057, 21.918180, 25.740502, 26.679301, 28.439915, 81.434606], [22.593508, 22.615502, 24.127338, 25.351089, 26.194307, 28.866312, 29.363775, 29.536641, 32.846252, 50.780755], [19.278197, 19.460740, 19.653736, 20.838041, 22.928089, 23.185696, 23.747763, 23.905546, 24.068569, 29.436820], [11.925279, 12.678474, 15.340571, 15.351844, 15.521385, 16.314213, 16.388998, 17.133620, 17.833196, 57.481032], [21.735988, 22.378490, 23.350086, 23.992567, 25.711081, 25.898871, 28.465274, 28.988802, 32.004665, 47.559281]]
### 2
fourier: [[22.377302, 22.965576, 24.569162, 24.970422, 26.601565, 26.767074, 28.089545, 30.627644, 31.573657, 162.565765], [29.942867, 32.170784, 34.270663, 35.838087, 36.530868, 37.766491, 41.043629, 43.243026, 45.249576, 275.003027], [13.877718, 13.959759, 14.433240, 15.077152, 15.925546, 16.005365, 18.033269, 19.961140, 21.522702, 28.540062], [35.343709, 35.484810, 41.399322, 43.176340, 44.385597, 45.023121, 49.264457, 52.631586, 54.127245, 327.732451], [18.464512, 19.395321, 19.643916, 20.199472, 20.363578, 21.484272, 22.060006, 26.562669, 28.533037, 150.874166], [15.173445, 15.269208, 15.541001, 18.630061, 18.658084, 21.831845, 22.063703, 26.261025, 27.140262, 93.750368], [24.674998, 27.218271, 28.168337, 28.300629, 28.809978, 29.806574, 33.727223, 35.409098, 42.019167, 190.169360], [25.895089, 27.434868, 29.160496, 30.936772, 31.048634, 31.653334, 33.091108, 40.327682, 40.921320, 168.607581]]
### 4
fourier: [[36.904874, 38.136523, 40.635190, 42.474643, 44.784967, 45.443256, 50.413669, 56.325702, 57.230085, 259.966529], [31.388953, 33.745867, 34.196858, 36.983968, 37.489309, 38.753713, 40.356481, 50.473820, 53.977473, 219.664204], [16.154383, 16.797453, 16.947158, 17.240717, 17.262896, 19.299502, 20.312768, 25.445198, 26.546838, 227.899058], [40.539987, 45.322241, 45.999927, 47.877788, 51.385378, 53.732436, 57.801943, 66.910884, 69.892069, 277.332203], [35.177526, 36.283910, 38.614931, 40.313089, 42.572840, 42.947015, 50.508324, 53.202411, 57.369180, 223.072873], [51.076272, 52.913641, 59.692750, 59.795831, 60.359538, 64.185425, 73.239836, 75.318738, 78.931986, 441.181195], [42.994818, 45.092740, 45.435486, 49.551616, 53.667277, 54.766671, 58.150777, 68.579849, 69.603496, 326.392065], [34.461398, 36.249806, 37.266880, 40.235077, 42.309533, 43.325521, 49.518305, 53.559397, 56.712961, 302.281068]]
### 6
fourier: [[15.913438, 16.759201, 17.824797, 18.168460, 19.962668, 19.975924, 21.445948, 25.735521, 25.981350, 32.655993], [76.113562, 77.355836, 77.513382, 84.411315, 88.355866, 91.576981, 101.669664, 113.906808, 115.306227, 570.549608], [35.561121, 36.750556, 38.827207, 40.417869, 40.710395, 45.472283, 51.045970, 52.801320, 53.427164, 371.044246], [68.264046, 72.222679, 74.527212, 79.431745, 84.964684, 87.909499, 93.227894, 110.295631, 111.781966, 476.774660], [73.718428, 77.550083, 80.183220, 85.659678, 91.588878, 94.941525, 100.267632, 118.775115, 120.137960, 491.493440], [58.295055, 58.655230, 59.725968, 66.107465, 69.875533, 72.504825, 77.961401, 90.197962, 91.322495, 457.380566], [73.444580, 74.975808, 76.714090, 83.048810, 88.422901, 89.145642, 99.152177, 112.834092, 113.112307, 539.218797], [26.448452, 27.086455, 30.357172, 30.627837, 33.372740, 35.647027, 36.123799, 39.248233, 39.362892, 329.339401]]
### 8
fourier: [[47.096432, 47.718610, 48.026892, 55.594736, 56.042200, 59.653339, 67.207773, 73.880645, 77.874222, 194.219144], [6.422704, 6.618118, 6.878062, 7.243475, 7.266884, 7.457562, 8.743176, 11.129449, 11.947119, 15.639702], [38.254006, 38.383796, 40.640307, 42.879431, 45.372470, 47.973185, 55.368098, 61.271075, 65.598382, 206.809196], [83.307697, 83.678238, 85.148621, 95.665099, 99.338997, 106.796447, 110.048809, 129.373245, 132.454657, 541.408160], [7.339204, 7.387168, 7.723278, 8.075129, 8.398016, 9.403054, 9.437561, 9.705246, 10.835949, 41.833026], [22.459630, 23.779210, 23.979564, 24.274565, 25.253995, 27.161923, 32.026904, 34.674991, 35.048102, 277.474769], [3.418290, 3.468818, 3.487464, 3.595015, 3.612502, 3.943056, 4.664972, 4.757318, 5.208119, 16.958842], [28.326570, 28.981172, 29.924639, 32.692465, 33.893860, 35.157132, 42.411445, 45.406725, 48.531812, 103.191689]]
### 10
fourier: [[35.579819, 38.714853, 38.756404, 38.830476, 44.502238, 49.027000, 50.758507, 52.164914, 55.535307, 316.456154], [14.625846, 14.818437, 14.873544, 15.771197, 15.849881, 18.030719, 20.457827, 21.043820, 21.425881, 114.619491], [69.663927, 69.904690, 71.942429, 79.545695, 81.429521, 91.869712, 92.845162, 110.803220, 112.816261, 416.990438], [50.006210, 51.912262, 52.558214, 57.007962, 58.689232, 66.094074, 70.786352, 83.012889, 85.341059, 265.387197], [66.999395, 68.744269, 69.132473, 77.195108, 77.664433, 88.433365, 92.187058, 108.546999, 111.566358, 360.778662], [63.002545, 63.956059, 65.936035, 72.361600, 75.205535, 82.261464, 84.953522, 99.959092, 101.802265, 360.732352], [73.986765, 74.804487, 77.246917, 84.776821, 88.070812, 94.889438, 100.317544, 117.957422, 118.674749, 462.245872], [3.436883, 3.713529, 3.751556, 3.861609, 3.954532, 4.285483, 4.944606, 5.250265, 5.849853, 17.894177]]
### 12
fourier: [[72.419884, 72.757838, 75.550974, 80.676193, 85.828654, 88.311344, 97.777526, 112.477405, 112.724863, 425.083093]]
## 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[19.057428, 21.377739, 25.846476, 26.104468, 26.842856, 29.992466, 31.462317, 32.909138, 32.992553, 118.712381], [18.459385, 18.878204, 19.272455, 19.276812, 19.412229, 19.568139, 19.833772, 20.367473, 26.776510, 29.617873], [16.489291, 16.579016, 16.614512, 17.354666, 17.783328, 19.546946, 21.226757, 23.557029, 27.210525, 29.339462], [18.382704, 18.394805, 19.185138, 19.580676, 20.151057, 21.918180, 25.740502, 26.679301, 28.439915, 81.434606], [22.593508, 22.615502, 24.127338, 25.351089, 26.194307, 28.866312, 29.363775, 29.536641, 32.846252, 50.780755], [19.278197, 19.460740, 19.653736, 20.838041, 22.928089, 23.185696, 23.747763, 23.905546, 24.068569, 29.436820], [11.925279, 12.678474, 15.340571, 15.351844, 15.521385, 16.314213, 16.388998, 17.133620, 17.833196, 57.481032], [21.735988, 22.378490, 23.350086, 23.992567, 25.711081, 25.898871, 28.465274, 28.988802, 32.004665, 47.559281]]
### 2
fourier: [[22.377302, 22.965576, 24.569162, 24.970422, 26.601565, 26.767074, 28.089545, 30.627644, 31.573657, 162.565765], [29.942867, 32.170784, 34.270663, 35.838087, 36.530868, 37.766491, 41.043629, 43.243026, 45.249576, 275.003027], [13.877718, 13.959759, 14.433240, 15.077152, 15.925546, 16.005365, 18.033269, 19.961140, 21.522702, 28.540062], [35.343709, 35.484810, 41.399322, 43.176340, 44.385597, 45.023121, 49.264457, 52.631586, 54.127245, 327.732451], [18.464512, 19.395321, 19.643916, 20.199472, 20.363578, 21.484272, 22.060006, 26.562669, 28.533037, 150.874166], [15.173445, 15.269208, 15.541001, 18.630061, 18.658084, 21.831845, 22.063703, 26.261025, 27.140262, 93.750368], [24.674998, 27.218271, 28.168337, 28.300629, 28.809978, 29.806574, 33.727223, 35.409098, 42.019167, 190.169360], [25.895089, 27.434868, 29.160496, 30.936772, 31.048634, 31.653334, 33.091108, 40.327682, 40.921320, 168.607581]]
### 4
fourier: [[36.904874, 38.136523, 40.635190, 42.474643, 44.784967, 45.443256, 50.413669, 56.325702, 57.230085, 259.966529], [31.388953, 33.745867, 34.196858, 36.983968, 37.489309, 38.753713, 40.356481, 50.473820, 53.977473, 219.664204], [16.154383, 16.797453, 16.947158, 17.240717, 17.262896, 19.299502, 20.312768, 25.445198, 26.546838, 227.899058], [40.539987, 45.322241, 45.999927, 47.877788, 51.385378, 53.732436, 57.801943, 66.910884, 69.892069, 277.332203], [35.177526, 36.283910, 38.614931, 40.313089, 42.572840, 42.947015, 50.508324, 53.202411, 57.369180, 223.072873], [51.076272, 52.913641, 59.692750, 59.795831, 60.359538, 64.185425, 73.239836, 75.318738, 78.931986, 441.181195], [42.994818, 45.092740, 45.435486, 49.551616, 53.667277, 54.766671, 58.150777, 68.579849, 69.603496, 326.392065], [34.461398, 36.249806, 37.266880, 40.235077, 42.309533, 43.325521, 49.518305, 53.559397, 56.712961, 302.281068]]
### 6
fourier: [[15.913438, 16.759201, 17.824797, 18.168460, 19.962668, 19.975924, 21.445948, 25.735521, 25.981350, 32.655993], [76.113562, 77.355836, 77.513382, 84.411315, 88.355866, 91.576981, 101.669664, 113.906808, 115.306227, 570.549608], [35.561121, 36.750556, 38.827207, 40.417869, 40.710395, 45.472283, 51.045970, 52.801320, 53.427164, 371.044246], [68.264046, 72.222679, 74.527212, 79.431745, 84.964684, 87.909499, 93.227894, 110.295631, 111.781966, 476.774660], [73.718428, 77.550083, 80.183220, 85.659678, 91.588878, 94.941525, 100.267632, 118.775115, 120.137960, 491.493440], [58.295055, 58.655230, 59.725968, 66.107465, 69.875533, 72.504825, 77.961401, 90.197962, 91.322495, 457.380566], [73.444580, 74.975808, 76.714090, 83.048810, 88.422901, 89.145642, 99.152177, 112.834092, 113.112307, 539.218797], [26.448452, 27.086455, 30.357172, 30.627837, 33.372740, 35.647027, 36.123799, 39.248233, 39.362892, 329.339401]]
### 8
fourier: [[47.096432, 47.718610, 48.026892, 55.594736, 56.042200, 59.653339, 67.207773, 73.880645, 77.874222, 194.219144], [6.422704, 6.618118, 6.878062, 7.243475, 7.266884, 7.457562, 8.743176, 11.129449, 11.947119, 15.639702], [38.254006, 38.383796, 40.640307, 42.879431, 45.372470, 47.973185, 55.368098, 61.271075, 65.598382, 206.809196], [83.307697, 83.678238, 85.148621, 95.665099, 99.338997, 106.796447, 110.048809, 129.373245, 132.454657, 541.408160], [7.339204, 7.387168, 7.723278, 8.075129, 8.398016, 9.403054, 9.437561, 9.705246, 10.835949, 41.833026], [22.459630, 23.779210, 23.979564, 24.274565, 25.253995, 27.161923, 32.026904, 34.674991, 35.048102, 277.474769], [3.418290, 3.468818, 3.487464, 3.595015, 3.612502, 3.943056, 4.664972, 4.757318, 5.208119, 16.958842], [28.326570, 28.981172, 29.924639, 32.692465, 33.893860, 35.157132, 42.411445, 45.406725, 48.531812, 103.191689]]
### 10
fourier: [[35.579819, 38.714853, 38.756404, 38.830476, 44.502238, 49.027000, 50.758507, 52.164914, 55.535307, 316.456154], [14.625846, 14.818437, 14.873544, 15.771197, 15.849881, 18.030719, 20.457827, 21.043820, 21.425881, 114.619491], [69.663927, 69.904690, 71.942429, 79.545695, 81.429521, 91.869712, 92.845162, 110.803220, 112.816261, 416.990438], [50.006210, 51.912262, 52.558214, 57.007962, 58.689232, 66.094074, 70.786352, 83.012889, 85.341059, 265.387197], [66.999395, 68.744269, 69.132473, 77.195108, 77.664433, 88.433365, 92.187058, 108.546999, 111.566358, 360.778662], [63.002545, 63.956059, 65.936035, 72.361600, 75.205535, 82.261464, 84.953522, 99.959092, 101.802265, 360.732352], [73.986765, 74.804487, 77.246917, 84.776821, 88.070812, 94.889438, 100.317544, 117.957422, 118.674749, 462.245872], [3.436883, 3.713529, 3.751556, 3.861609, 3.954532, 4.285483, 4.944606, 5.250265, 5.849853, 17.894177]]
### 12
fourier: [[72.419884, 72.757838, 75.550974, 80.676193, 85.828654, 88.311344, 97.777526, 112.477405, 112.724863, 425.083093]]
## 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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"num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [72.41988435921577, 72.75783789339852, 75.55097419899585, 80.67619334739571, 85.82865406026811, 88.31134356411395, 97.77752612213378, 112.47740496409213, 112.72486336436334, 425.0830927789211]}}, "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": 8, "activation_type": "gelu", "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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.320792, 0.176856, -0.421395, 0.202258, -0.481694], [-0.491682, 0.3329, 0.254535, 0.153032, -0.425083], [-0.559191, 0.235857, 0.231985, 0.102887, -0.295771], [-0.650631, 0.015658, 0.132323, 0.275117, 0.216413], [-0.417783, -0.422346, -0.294558, 0.20829, 0.505011], [-0.604713, -0.184624, 0.042362, 0.222722, 0.413458], [-0.012501, 0.350798, -0.342388, 0.18093, 0.191021], [-0.331125, -0.516744, 0.364823, -0.239836, 0.667074]], "network.0.bias": [-0.201484, -0.125237, 0.227994, 0.552682, 0.271072, 0.280351, 0.106625, 0.570971], "network.2.weight": [[0.30334, 0.34093, 0.100187, 0.644363, 0.356941, 0.100502, 0.260487, 0.811339], [0.349504, 0.217751, 0.329474, 1.169071, 0.08776, 0.376733, 0.325215, 0.990439], [-0.210543, 0.116006, -0.390917, 0.827151, 0.456075, 0.189018, 0.181146, -0.241538], [0.505415, 0.784532, 0.530769, 0.870114, 0.479975, 0.620145, 0.184037, 1.148882], [-0.004644, -0.484081, -0.256819, -0.446067, -0.012967, -0.121257, -0.723863, -0.557843], [0.25278, 0.792402, 0.241914, 0.562572, -0.445474, 0.332354, -0.003084, -0.003143], [0.570997, 0.511878, 0.591098, 0.419443, 0.758955, 0.348343, 0.554054, 0.536286], [-0.199648, -0.764781, 0.016219, -1.08119, -0.095207, 0.000895, -0.593919, -0.836105]], "network.2.bias": [-0.162382, 0.165236, -0.821566, 0.346599, 0.249008, -0.226548, -0.242729, 0.842841], "network.4.weight": [[0.388014, 0.114557, 0.147238, 0.423673, -0.309631, 0.252714, 0.236718, -0.436517], [0.215492, 0.07055, 0.103731, -0.211162, -0.103312, 0.990584, 0.829466, -0.265464], [0.229166, -0.598297, 0.968056, -0.709374, -0.577451, 0.156439, 0.706144, -0.451421], [-0.267871, -0.081961, -0.390222, -0.292607, 0.321851, -0.783532, -0.491479, 0.738339], [-0.19242, -0.245619, -0.514889, -0.162376, 0.466134, -0.493985, -0.34951, 0.447602], [0.454485, 0.407592, 0.315384, 0.623352, -0.248258, -0.040657, 0.180385, -0.521647], [0.265905, 0.37393, 0.3182, 0.232323, -0.150695, 0.837938, 0.284249, -0.274243], [0.117794, -0.436688, -0.368593, -0.208722, 0.448537, -0.405929, -0.373012, 0.593036]], "network.4.bias": [-0.471087, -0.181127, -0.571119, 0.654666, 0.619263, 0.192668, -0.383385, -0.169916], "network.6.weight": [[0.355486, 0.108205, 0.261726, -0.246001, 0.000397, -0.107681, 0.119482, 0.239951], [0.617463, 0.39099, 0.041385, -0.095766, -0.508787, 0.476891, 0.341978, 0.19918], [-0.027876, -0.002084, 0.676269, -0.161579, -0.317037, -0.449059, -0.305043, -0.24089], [-0.236864, -0.518227, -0.485761, 0.800016, 0.31078, -0.305527, -0.637127, 0.037547], [-0.2864, -0.492975, -0.593033, 0.561597, 0.52031, -0.289205, -0.762609, 0.666738], [0.0594, -0.207905, -0.35375, 0.190428, 0.843512, -0.49292, -0.60079, 0.439014], [0.516838, -0.010006, 0.119779, -0.068653, -0.813721, 0.336115, 0.824865, -0.386858], [0.046236, 0.570767, 0.667508, -0.008053, -0.475381, -0.686408, -0.238789, -0.047987]], "network.6.bias": [-0.809561, 0.039477, -0.620378, 0.33204, 0.647429, -0.267893, -0.069601, -0.887035], "network.8.weight": [[-0.969292, 0.234123, -0.044624, 0.600606, 0.84648, 0.369283, -0.636026, -0.451075], [-0.33693, -0.259288, 0.153698, 0.428918, 0.18295, 0.280607, 0.30966, -0.529314], [-0.045827, 0.403534, 0.206433, -0.851646, -0.541222, -0.281504, 0.02794, -0.364569], [0.285852, 0.530252, -0.331802, -0.55538, -0.736347, -0.350494, 0.480147, -0.10046], [0.166017, 0.346662, 0.560207, 0.218693, 0.149515, 0.04146, -0.269356, -0.053745], [0.654831, -0.398019, 0.927908, -0.026887, -0.131129, 0.007721, -0.037428, 0.672017], [-0.398446, 0.0306, 0.231796, 0.089069, 0.148991, 0.479542, 0.050399, 0.072873], [-0.429285, 0.140684, -0.221665, 0.695451, 0.460749, 0.216761, -0.38872, -0.583751]], "network.8.bias": [0.37234, -0.048158, -0.015905, -0.099504, -0.287767, -0.609974, -0.164542, 0.234413], "network.10.weight": [[-0.174121, -0.620306, -0.32888, -0.368286, -0.612341, -0.15301, -0.353665, -0.213765], [-0.076146, -0.052697, -0.52629, 0.022868, -0.063016, 0.06332, -0.226535, 0.050103], [-0.767585, 0.311515, 0.205727, 0.683769, 0.334395, 0.476401, -0.033145, -0.356471], [0.591919, 0.044282, -0.232041, -0.46501, 0.241078, -0.478532, -0.543584, 0.536451], [-0.873536, -0.000337, 0.175795, 0.669475, -0.005849, 0.053049, 0.326602, -0.38976], [0.323723, 0.005615, 0.242979, -0.822967, -0.255616, -0.037516, 0.017465, 0.545321], [0.715702, -0.448839, -0.249232, -0.796062, 0.110658, -0.182131, 0.048309, 0.20601], [-0.135337, 0.563011, 0.359355, -0.160357, 0.193061, 0.333348, 0.489189, -0.427709]], "network.10.bias": [0.328906, 0.089517, 0.096747, 0.057836, -0.155476, 0.33476, 0.183499, -0.118143], "network.12.weight": [[-0.264894, 0.030962, -0.503286, 0.240799, -0.637741, 0.115006, 0.281828, 0.158342]], "network.12.bias": [0.542638]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7133742272853851, "train_acc": 0.425, "val_loss": 0.6803991198539734, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6088955700397491, "train_acc": 0.575, "val_loss": 0.5319173336029053, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.4856427013874054, "train_acc": 0.635, "val_loss": 0.29542484879493713, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3064602464437485, "train_acc": 0.89, "val_loss": 0.24951888620853424, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.23831000179052353, "train_acc": 0.91, "val_loss": 0.26078757643699646, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2966095805168152, "train_acc": 0.865, "val_loss": 0.08236084133386612, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.19852790981531143, "train_acc": 0.94, "val_loss": 0.10677260160446167, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.20466114580631256, "train_acc": 0.94, "val_loss": 0.13045275211334229, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.21579669415950775, "train_acc": 0.945, "val_loss": 0.1104140654206276, "val_acc": 0.98}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6803991198539734, "final_val_loss": 0.5319173336029053, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.29542484879493713, "final_val_loss": 0.1104140654206276, "initial_val_acc": 0.92, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 5}, "improvement": 0.5, "first_improvement_epoch": 1}}
|
117
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3827, "learning_rate": 0.0961536828667146, "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: 4
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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"network.0.bias": [
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"network.2.weight": [
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"network.6.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[35.473018, 35.645581, 35.858315, 37.173236, 39.941778, 40.276950, 41.882625, 42.825303, 65.392035, 119.163023], [28.113392, 29.715018, 29.932291, 30.736125, 32.642946, 32.803067, 33.436874, 35.014514, 39.479837, 44.186990], [25.669751, 26.874362, 27.562923, 29.186026, 29.742874, 31.356874, 32.252792, 35.007450, 38.620842, 257.910052], [25.880739, 26.962679, 27.192124, 27.197155, 27.992216, 29.768068, 31.197507, 31.719769, 42.992717, 69.599000], [37.195943, 37.444769, 37.890446, 38.665552, 39.715726, 40.202883, 41.964558, 51.465857, 53.828565, 343.427670], [22.310353, 24.012925, 26.875745, 26.929160, 27.009287, 28.957080, 29.831431, 31.109321, 34.477511, 191.238301], [28.150968, 28.469556, 29.228542, 29.282701, 31.218116, 31.961342, 34.562045, 34.562673, 35.969852, 47.747273], [32.898114, 34.021178, 34.151313, 35.551821, 39.295946, 39.404194, 45.350916, 49.876292, 57.536505, 68.092389]]
### 2
fourier: [[36.003161, 37.278106, 38.067105, 39.012929, 39.236377, 41.647380, 45.901716, 47.297054, 59.233036, 264.301880], [37.204583, 39.693929, 41.451883, 42.625291, 47.903853, 47.998828, 48.570892, 49.375274, 59.292110, 216.794379], [18.592591, 19.911419, 20.745923, 21.030447, 26.634469, 27.563442, 28.026039, 28.828826, 30.180910, 35.151801], [33.828526, 34.068537, 37.853215, 41.323881, 42.772784, 43.439935, 44.553339, 46.479075, 59.460403, 134.308317], [37.829426, 40.521580, 41.095952, 42.579776, 46.689419, 47.284713, 49.070009, 49.267827, 66.541367, 223.346346], [14.270244, 14.351427, 15.614805, 17.548036, 17.709053, 18.102261, 18.285539, 19.959269, 23.928367, 136.659044], [25.486245, 25.573070, 27.157965, 27.776652, 28.952895, 30.431242, 31.392681, 33.563146, 46.012547, 82.107565], [19.247288, 19.771095, 19.842066, 20.359325, 20.877226, 22.491762, 24.654132, 24.809740, 28.313202, 150.684302]]
### 4
fourier: [[57.150873, 58.906972, 59.873019, 62.999031, 63.418808, 63.949471, 70.914375, 71.578949, 98.747357, 378.218919], [27.180513, 27.566771, 27.575608, 29.739845, 33.355312, 36.795288, 37.170637, 39.240051, 41.354382, 44.716084], [56.292845, 58.829399, 60.102568, 61.829940, 66.647315, 67.570245, 69.820426, 75.182814, 99.791587, 315.342676], [24.733009, 25.489114, 27.168630, 27.630212, 28.737544, 29.527685, 30.284989, 35.602110, 43.842790, 265.257790], [24.313436, 24.676922, 27.161294, 29.087908, 29.125843, 30.402360, 38.806896, 40.782296, 45.417044, 180.156206], [9.959441, 10.015997, 10.081870, 10.743574, 11.350826, 12.574849, 12.703634, 13.089164, 20.165392, 120.034303], [21.860587, 21.941291, 24.417175, 24.647631, 26.847013, 27.021689, 37.322034, 38.501030, 41.454930, 267.343247], [67.635114, 69.379033, 72.724714, 73.380349, 73.763326, 74.271366, 82.122132, 85.464878, 115.319556, 439.115754]]
### 6
fourier: [[60.716566, 62.167621, 62.337221, 64.375233, 67.578758, 74.103378, 74.215591, 80.714552, 104.825659, 464.169977], [78.929895, 83.718939, 87.507195, 90.669806, 92.659940, 97.866337, 100.936959, 108.548795, 146.153408, 511.466213], [39.547854, 40.089647, 41.447051, 41.464887, 42.120282, 42.865400, 46.037051, 48.824794, 64.763860, 191.545628], [90.692918, 91.457311, 94.445069, 95.919522, 97.863876, 103.568187, 106.685950, 116.755253, 152.075178, 560.634323], [81.871637, 84.353304, 86.524834, 87.599868, 90.285560, 95.128068, 99.961482, 106.755356, 140.707720, 570.286930], [33.891956, 35.320773, 36.239514, 38.877361, 39.094703, 39.682208, 55.753676, 57.477250, 62.485925, 313.904227], [92.488486, 95.792491, 99.201459, 100.016601, 102.357393, 105.844605, 113.957814, 120.379484, 160.114891, 573.868694], [44.130655, 48.469321, 48.700014, 49.125474, 54.628158, 58.002880, 67.585662, 68.118857, 83.056954, 458.266187]]
### 8
fourier: [[101.913369, 105.732300, 110.068166, 110.521769, 110.962703, 117.195437, 123.833208, 133.405996, 175.095646, 636.838913]]
## 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: 4
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: [[35.473018, 35.645581, 35.858315, 37.173236, 39.941778, 40.276950, 41.882625, 42.825303, 65.392035, 119.163023], [28.113392, 29.715018, 29.932291, 30.736125, 32.642946, 32.803067, 33.436874, 35.014514, 39.479837, 44.186990], [25.669751, 26.874362, 27.562923, 29.186026, 29.742874, 31.356874, 32.252792, 35.007450, 38.620842, 257.910052], [25.880739, 26.962679, 27.192124, 27.197155, 27.992216, 29.768068, 31.197507, 31.719769, 42.992717, 69.599000], [37.195943, 37.444769, 37.890446, 38.665552, 39.715726, 40.202883, 41.964558, 51.465857, 53.828565, 343.427670], [22.310353, 24.012925, 26.875745, 26.929160, 27.009287, 28.957080, 29.831431, 31.109321, 34.477511, 191.238301], [28.150968, 28.469556, 29.228542, 29.282701, 31.218116, 31.961342, 34.562045, 34.562673, 35.969852, 47.747273], [32.898114, 34.021178, 34.151313, 35.551821, 39.295946, 39.404194, 45.350916, 49.876292, 57.536505, 68.092389]]
### 2
fourier: [[36.003161, 37.278106, 38.067105, 39.012929, 39.236377, 41.647380, 45.901716, 47.297054, 59.233036, 264.301880], [37.204583, 39.693929, 41.451883, 42.625291, 47.903853, 47.998828, 48.570892, 49.375274, 59.292110, 216.794379], [18.592591, 19.911419, 20.745923, 21.030447, 26.634469, 27.563442, 28.026039, 28.828826, 30.180910, 35.151801], [33.828526, 34.068537, 37.853215, 41.323881, 42.772784, 43.439935, 44.553339, 46.479075, 59.460403, 134.308317], [37.829426, 40.521580, 41.095952, 42.579776, 46.689419, 47.284713, 49.070009, 49.267827, 66.541367, 223.346346], [14.270244, 14.351427, 15.614805, 17.548036, 17.709053, 18.102261, 18.285539, 19.959269, 23.928367, 136.659044], [25.486245, 25.573070, 27.157965, 27.776652, 28.952895, 30.431242, 31.392681, 33.563146, 46.012547, 82.107565], [19.247288, 19.771095, 19.842066, 20.359325, 20.877226, 22.491762, 24.654132, 24.809740, 28.313202, 150.684302]]
### 4
fourier: [[57.150873, 58.906972, 59.873019, 62.999031, 63.418808, 63.949471, 70.914375, 71.578949, 98.747357, 378.218919], [27.180513, 27.566771, 27.575608, 29.739845, 33.355312, 36.795288, 37.170637, 39.240051, 41.354382, 44.716084], [56.292845, 58.829399, 60.102568, 61.829940, 66.647315, 67.570245, 69.820426, 75.182814, 99.791587, 315.342676], [24.733009, 25.489114, 27.168630, 27.630212, 28.737544, 29.527685, 30.284989, 35.602110, 43.842790, 265.257790], [24.313436, 24.676922, 27.161294, 29.087908, 29.125843, 30.402360, 38.806896, 40.782296, 45.417044, 180.156206], [9.959441, 10.015997, 10.081870, 10.743574, 11.350826, 12.574849, 12.703634, 13.089164, 20.165392, 120.034303], [21.860587, 21.941291, 24.417175, 24.647631, 26.847013, 27.021689, 37.322034, 38.501030, 41.454930, 267.343247], [67.635114, 69.379033, 72.724714, 73.380349, 73.763326, 74.271366, 82.122132, 85.464878, 115.319556, 439.115754]]
### 6
fourier: [[60.716566, 62.167621, 62.337221, 64.375233, 67.578758, 74.103378, 74.215591, 80.714552, 104.825659, 464.169977], [78.929895, 83.718939, 87.507195, 90.669806, 92.659940, 97.866337, 100.936959, 108.548795, 146.153408, 511.466213], [39.547854, 40.089647, 41.447051, 41.464887, 42.120282, 42.865400, 46.037051, 48.824794, 64.763860, 191.545628], [90.692918, 91.457311, 94.445069, 95.919522, 97.863876, 103.568187, 106.685950, 116.755253, 152.075178, 560.634323], [81.871637, 84.353304, 86.524834, 87.599868, 90.285560, 95.128068, 99.961482, 106.755356, 140.707720, 570.286930], [33.891956, 35.320773, 36.239514, 38.877361, 39.094703, 39.682208, 55.753676, 57.477250, 62.485925, 313.904227], [92.488486, 95.792491, 99.201459, 100.016601, 102.357393, 105.844605, 113.957814, 120.379484, 160.114891, 573.868694], [44.130655, 48.469321, 48.700014, 49.125474, 54.628158, 58.002880, 67.585662, 68.118857, 83.056954, 458.266187]]
### 8
fourier: [[101.913369, 105.732300, 110.068166, 110.521769, 110.962703, 117.195437, 123.833208, 133.405996, 175.095646, 636.838913]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [35.473018424123644, 35.64558119224699, 35.858314949777686, 37.1732362181848, 39.94177789218005, 40.27694954991442, 41.88262487883921, 42.82530343496919, 65.39203513903661, 119.16302309930325]}, "1": {"fourier": [28.113392402336626, 29.71501803329758, 29.93229085048056, 30.73612538803719, 32.64294612920691, 32.80306701362133, 33.43687384701407, 35.01451408012464, 39.47983715697371, 44.18699040831583]}, "2": {"fourier": [25.669750795368774, 26.874361792711184, 27.562923192206945, 29.18602623622947, 29.742873557873743, 31.35687388400486, 32.25279157796259, 35.00745011205028, 38.62084237525615, 257.9100522994995]}, "3": {"fourier": [25.880738783051, 26.96267943821488, 27.192124199577616, 27.197154594249163, 27.992215789462726, 29.76806794624669, 31.19750716366919, 31.719769112467752, 42.99271702056115, 69.59900020062923]}, "4": {"fourier": [37.19594346976351, 37.444769016483086, 37.89044595957061, 38.66555223697274, 39.715726208829665, 40.20288257960345, 41.96455754215804, 51.465857456119835, 53.82856498042262, 343.42767030745745]}, "5": {"fourier": [22.310353279184355, 24.012925428276432, 26.875745225800056, 26.92915976755553, 27.00928653302258, 28.957080318464875, 29.831431491273708, 31.10932086174386, 34.4775106901405, 191.2383014857769]}, "6": {"fourier": [28.15096762213452, 28.46955639816674, 29.228541594452484, 29.282701484426447, 31.21811580161269, 31.961342165761003, 34.56204491361335, 34.56267300861582, 35.96985200664849, 47.747272536920605]}, "7": {"fourier": [32.898114495357135, 34.0211780389325, 34.151312966828996, 35.55182059585921, 39.295945813129805, 39.40419399500101, 45.35091605352208, 49.876291735357526, 57.53650521615061, 68.09238874912262]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [36.003160791916955, 37.27810602490706, 38.06710452282668, 39.01292934597335, 39.23637728762466, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.255363, -0.455018, -1.071168, 0.92829, -0.277081], [0.766837, 0.187861, 0.15538, -0.661324, -0.1241], [-0.564026, -0.115863, -0.513749, -0.339913, 0.025405], [-0.738749, -0.224724, 0.539791, -0.039098, 0.634971], [-0.606833, -0.661634, -0.463182, -0.386985, -0.050122], [0.669009, -0.115753, -0.327472, -0.483589, -0.400741], [-0.883255, -0.34486, 0.413581, -0.044603, 0.727862], [-1.31535, 0.267975, 0.327853, 0.32691, 0.177738]], "network.0.bias": [-0.224056, 0.314526, -0.181881, 0.275301, 0.004172, -0.531155, 0.206318, 0.300054], "network.2.weight": [[1.070214, -0.052541, 0.037627, 0.519497, -0.316393, -0.39632, 1.059868, 0.601731], [-0.552736, 0.081496, -0.003915, -0.722883, -0.232362, -0.184639, -1.039198, -0.69991], [0.976851, -0.421022, -0.048491, 0.172133, 0.031255, -0.546303, -0.706113, -0.011261], [-0.404583, 0.597613, 0.081131, -0.285574, 0.006054, 0.308511, -1.052181, -0.499903], [1.478041, -0.375632, -0.036111, 0.301484, -0.273041, -0.380393, 0.69931, 0.832565], [-0.004215, -0.133368, -0.061998, -0.500106, 0.098637, -0.210894, -0.13146, -0.385085], [1.076262, -0.378077, -0.058813, 0.190659, 0.354571, -0.096609, 0.640312, 0.281657], [1.011864, -0.394595, -0.434476, -0.664872, 0.076731, -0.164365, 0.512948, -0.431758]], "network.2.bias": [-0.046793, 0.72191, 0.071112, 0.123607, -0.122286, -0.026946, -0.481277, -0.75208], "network.4.weight": [[0.737601, -0.132018, 0.116224, -0.38497, 0.622491, 0.338816, 0.235477, 0.773014], [-0.047936, 0.068821, 1.181083, -0.548487, 0.212552, 0.160436, 0.05377, 1.030864], [-0.846397, 0.912457, 0.288324, 0.426371, -0.71289, -0.357268, 0.061052, -0.67887], [-0.518058, 0.161983, 0.33969, -0.477138, -0.329442, -0.169254, -0.000556, -0.243097], [0.140514, -0.088232, -0.331105, -0.013416, -0.533437, 0.039792, -0.524277, -0.144978], [-0.034514, -0.055592, -0.301767, -0.596364, -0.008064, -0.242113, -0.328822, -0.072389], [0.03019, -0.230855, -0.425454, -0.547138, -0.400699, -0.010692, -0.553791, -0.091256], [0.91438, -0.165672, 0.353064, -0.380539, 0.568358, 0.229755, 0.419148, 0.946755]], "network.4.bias": [-0.049194, -0.476019, 0.581896, -0.377606, -0.042987, -0.324573, -0.698084, -0.134242], "network.6.weight": [[-0.445958, -0.126103, -0.107532, 0.179623, 0.078596, 0.039809, -0.267185, -0.55239], [-0.454809, 0.623198, 0.379814, -0.072159, -0.302548, -0.104607, 0.081774, -1.031271], [0.381763, 0.142535, -0.602362, -0.04813, 0.607318, 0.129351, 0.680698, 0.173865], [0.613498, 0.324038, -0.673886, 0.275435, 0.119172, 0.577664, 0.606134, 0.717501], [0.375031, 0.096635, -0.213918, 0.003374, 0.218862, 0.393292, 0.15936, 0.914221], [-0.234955, -0.832079, -0.316798, -0.109941, 0.073849, 0.336286, 0.14818, -0.164394], [-0.538484, -0.059074, 0.310098, 0.024199, 0.039153, -0.095061, -0.159552, -0.947131], [-0.388671, -0.267393, -0.594711, 0.247824, 0.403068, 0.574853, -0.114708, -0.420124]], "network.6.bias": [-0.224108, 0.79815, -0.298476, -0.112019, 0.04607, -0.69103, 0.716818, -0.730548], "network.8.weight": [[0.020317, 0.606232, -0.130721, -0.441184, -0.68561, -0.349835, 0.474395, -0.054894]], "network.8.bias": [0.163766]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6942681670188904, "train_acc": 0.535, "val_loss": 0.8189784288406372, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6917622089385986, "train_acc": 0.575, "val_loss": 0.6505605578422546, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6459295153617859, "train_acc": 0.5, "val_loss": 0.48259642720222473, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4468538761138916, "train_acc": 0.875, "val_loss": 0.6013684868812561, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4563140571117401, "train_acc": 0.83, "val_loss": 0.37143418192863464, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2682957649230957, "train_acc": 0.935, "val_loss": 0.4557400643825531, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.31534671783447266, "train_acc": 0.9, "val_loss": 0.36540207266807556, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.21715202927589417, "train_acc": 0.94, "val_loss": 0.3240717351436615, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.23034200072288513, "train_acc": 0.945, "val_loss": 0.3641083836555481, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.22701404988765717, "train_acc": 0.94, "val_loss": 0.3166947066783905, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.194588765501976, "train_acc": 0.945, "val_loss": 0.264412522315979, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.17276745289564133, "train_acc": 0.955, "val_loss": 0.2490033656358719, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.8189784288406372, "final_val_loss": 0.6505605578422546, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.48259642720222473, "final_val_loss": 0.2490033656358719, "initial_val_acc": 0.86, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 10}, "improvement": 0.42000000000000004, "first_improvement_epoch": 1}}
|
118
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.52, "improved_accuracy": 0.8, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5546, "learning_rate": 0.036889422166842364, "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: 4
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: [[18.747593, 22.452091, 24.568553, 24.919858, 25.179882, 25.250977, 26.450142, 27.085639, 27.603557, 80.453214], [21.097026, 22.915732, 23.095670, 24.375687, 25.066803, 25.533944, 26.601206, 32.137413, 41.219498, 57.368205], [19.067790, 20.308489, 20.739492, 20.807077, 23.713436, 24.901199, 27.836933, 32.896709, 33.413303, 92.451142], [24.295838, 24.382903, 24.945981, 27.001480, 28.249062, 30.312152, 30.636400, 32.824304, 40.295428, 100.357890], [12.489652, 13.027014, 13.122633, 13.343898, 15.038972, 15.478074, 16.593333, 18.828403, 19.781014, 120.930617], [14.275479, 15.004741, 15.353568, 16.980460, 18.541002, 20.158070, 20.488161, 21.840694, 24.838653, 100.304664], [21.115876, 21.372342, 23.875261, 24.080988, 24.242044, 27.687511, 28.166726, 29.421117, 38.338308, 40.131972], [21.303869, 21.427580, 21.566781, 21.918582, 22.056193, 25.620938, 25.832844, 28.766379, 29.041989, 169.021743]]
### 2
fourier: [[16.809672, 17.200896, 17.984238, 18.840974, 20.282921, 20.397368, 23.591505, 24.618667, 27.099248, 167.324493], [20.727589, 23.288448, 23.348657, 24.277879, 25.622301, 26.890698, 28.355535, 29.068099, 35.876122, 35.890669], [12.244825, 12.542405, 13.620607, 13.868919, 15.126163, 16.160099, 16.233404, 17.400768, 17.539318, 115.132282], [14.611672, 16.559940, 16.648413, 17.499681, 18.907802, 19.351549, 20.976607, 26.558280, 28.540679, 180.258088], [12.588497, 12.861332, 13.393636, 14.829591, 15.863887, 16.633362, 18.165740, 18.795680, 20.451037, 102.840017], [30.988920, 37.425830, 41.397306, 41.481693, 43.180445, 45.344153, 47.673236, 55.564138, 61.439911, 175.895483], [11.591754, 12.029325, 12.291609, 12.456605, 12.717967, 12.772700, 14.495122, 17.193231, 18.327393, 97.892040], [15.454960, 15.626146, 15.967080, 17.218916, 18.829789, 18.840317, 25.968747, 26.363465, 26.887291, 198.485033]]
### 4
fourier: [[4.657810, 5.417279, 6.275929, 6.912109, 6.955658, 7.108943, 7.135922, 7.647793, 9.933352, 88.890433], [11.086373, 11.576376, 11.579847, 11.958837, 13.601830, 14.220969, 16.290893, 16.486584, 17.404577, 21.226554], [4.145753, 5.241006, 5.469879, 5.742178, 5.800580, 6.268058, 6.382827, 7.375436, 8.540480, 38.766008], [18.076470, 21.870393, 23.155860, 23.230143, 24.859443, 26.358765, 27.757342, 32.400003, 35.709432, 99.463805], [11.907995, 12.529864, 13.153931, 16.860651, 16.883680, 17.046333, 19.048729, 22.503772, 23.135472, 67.619915], [3.031599, 3.221691, 3.224734, 3.302954, 3.419466, 3.859346, 3.956475, 4.035073, 4.731170, 7.037394], [22.224004, 23.140780, 25.380722, 29.295112, 30.141745, 31.050320, 33.912854, 40.538969, 41.441515, 142.106146], [18.703213, 19.870518, 21.652186, 24.565684, 25.435647, 26.285863, 28.497242, 34.076267, 35.115332, 120.245226]]
### 6
fourier: [[6.153799, 6.184926, 6.446936, 7.729804, 8.136429, 8.163644, 9.000406, 10.614101, 11.025573, 63.542269], [1.774444, 1.835188, 1.865091, 1.948374, 2.003939, 2.059655, 2.169976, 2.245081, 2.463936, 43.049679], [13.906962, 14.356242, 14.574714, 18.294878, 18.558545, 19.648918, 21.181141, 23.386540, 25.688499, 30.225222], [3.786560, 4.204321, 5.022682, 5.162809, 5.207639, 5.455445, 5.465233, 5.939824, 7.781679, 46.322754], [32.242512, 33.195202, 34.756528, 40.581825, 42.559032, 42.992750, 47.545410, 55.949354, 58.463051, 222.012169], [39.761155, 41.390812, 43.074156, 49.767616, 52.488212, 53.004152, 58.611959, 68.894689, 72.425818, 278.123580], [42.228015, 47.292126, 49.233573, 52.822344, 56.560665, 58.024147, 62.955596, 73.695813, 79.725940, 259.583866], [10.117627, 10.662314, 10.721828, 13.553671, 13.813528, 13.886014, 15.565843, 18.331564, 18.560268, 25.154396]]
### 8
fourier: [[64.618720, 66.688680, 68.726455, 79.832924, 84.225753, 85.179116, 94.016293, 109.543830, 116.117521, 423.002090]]
## 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: 4
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: [[18.747593, 22.452091, 24.568553, 24.919858, 25.179882, 25.250977, 26.450142, 27.085639, 27.603557, 80.453214], [21.097026, 22.915732, 23.095670, 24.375687, 25.066803, 25.533944, 26.601206, 32.137413, 41.219498, 57.368205], [19.067790, 20.308489, 20.739492, 20.807077, 23.713436, 24.901199, 27.836933, 32.896709, 33.413303, 92.451142], [24.295838, 24.382903, 24.945981, 27.001480, 28.249062, 30.312152, 30.636400, 32.824304, 40.295428, 100.357890], [12.489652, 13.027014, 13.122633, 13.343898, 15.038972, 15.478074, 16.593333, 18.828403, 19.781014, 120.930617], [14.275479, 15.004741, 15.353568, 16.980460, 18.541002, 20.158070, 20.488161, 21.840694, 24.838653, 100.304664], [21.115876, 21.372342, 23.875261, 24.080988, 24.242044, 27.687511, 28.166726, 29.421117, 38.338308, 40.131972], [21.303869, 21.427580, 21.566781, 21.918582, 22.056193, 25.620938, 25.832844, 28.766379, 29.041989, 169.021743]]
### 2
fourier: [[16.809672, 17.200896, 17.984238, 18.840974, 20.282921, 20.397368, 23.591505, 24.618667, 27.099248, 167.324493], [20.727589, 23.288448, 23.348657, 24.277879, 25.622301, 26.890698, 28.355535, 29.068099, 35.876122, 35.890669], [12.244825, 12.542405, 13.620607, 13.868919, 15.126163, 16.160099, 16.233404, 17.400768, 17.539318, 115.132282], [14.611672, 16.559940, 16.648413, 17.499681, 18.907802, 19.351549, 20.976607, 26.558280, 28.540679, 180.258088], [12.588497, 12.861332, 13.393636, 14.829591, 15.863887, 16.633362, 18.165740, 18.795680, 20.451037, 102.840017], [30.988920, 37.425830, 41.397306, 41.481693, 43.180445, 45.344153, 47.673236, 55.564138, 61.439911, 175.895483], [11.591754, 12.029325, 12.291609, 12.456605, 12.717967, 12.772700, 14.495122, 17.193231, 18.327393, 97.892040], [15.454960, 15.626146, 15.967080, 17.218916, 18.829789, 18.840317, 25.968747, 26.363465, 26.887291, 198.485033]]
### 4
fourier: [[4.657810, 5.417279, 6.275929, 6.912109, 6.955658, 7.108943, 7.135922, 7.647793, 9.933352, 88.890433], [11.086373, 11.576376, 11.579847, 11.958837, 13.601830, 14.220969, 16.290893, 16.486584, 17.404577, 21.226554], [4.145753, 5.241006, 5.469879, 5.742178, 5.800580, 6.268058, 6.382827, 7.375436, 8.540480, 38.766008], [18.076470, 21.870393, 23.155860, 23.230143, 24.859443, 26.358765, 27.757342, 32.400003, 35.709432, 99.463805], [11.907995, 12.529864, 13.153931, 16.860651, 16.883680, 17.046333, 19.048729, 22.503772, 23.135472, 67.619915], [3.031599, 3.221691, 3.224734, 3.302954, 3.419466, 3.859346, 3.956475, 4.035073, 4.731170, 7.037394], [22.224004, 23.140780, 25.380722, 29.295112, 30.141745, 31.050320, 33.912854, 40.538969, 41.441515, 142.106146], [18.703213, 19.870518, 21.652186, 24.565684, 25.435647, 26.285863, 28.497242, 34.076267, 35.115332, 120.245226]]
### 6
fourier: [[6.153799, 6.184926, 6.446936, 7.729804, 8.136429, 8.163644, 9.000406, 10.614101, 11.025573, 63.542269], [1.774444, 1.835188, 1.865091, 1.948374, 2.003939, 2.059655, 2.169976, 2.245081, 2.463936, 43.049679], [13.906962, 14.356242, 14.574714, 18.294878, 18.558545, 19.648918, 21.181141, 23.386540, 25.688499, 30.225222], [3.786560, 4.204321, 5.022682, 5.162809, 5.207639, 5.455445, 5.465233, 5.939824, 7.781679, 46.322754], [32.242512, 33.195202, 34.756528, 40.581825, 42.559032, 42.992750, 47.545410, 55.949354, 58.463051, 222.012169], [39.761155, 41.390812, 43.074156, 49.767616, 52.488212, 53.004152, 58.611959, 68.894689, 72.425818, 278.123580], [42.228015, 47.292126, 49.233573, 52.822344, 56.560665, 58.024147, 62.955596, 73.695813, 79.725940, 259.583866], [10.117627, 10.662314, 10.721828, 13.553671, 13.813528, 13.886014, 15.565843, 18.331564, 18.560268, 25.154396]]
### 8
fourier: [[64.618720, 66.688680, 68.726455, 79.832924, 84.225753, 85.179116, 94.016293, 109.543830, 116.117521, 423.002090]]
## 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": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.272433, 0.120445, -0.205919, 0.406257, 0.634961], [0.738196, -0.523474, 0.133316, -0.09653, 0.162175], [0.78626, -0.359924, 0.031023, 0.363002, -0.040361], [-0.774113, 0.362647, 0.153586, 0.395709, 0.487682], [-0.052236, -0.338636, -0.260663, -0.037215, -0.10758], [0.137493, 0.021262, 0.355461, 0.194576, 0.307725], [0.773162, -0.209935, -0.167819, -0.200326, 0.299715], [0.678838, -0.048503, 0.145131, 0.173461, -0.085853]], "network.0.bias": [-0.210697, 0.401172, -0.088822, -0.353267, 0.095385, -0.634654, 0.256869, 0.552372], "network.2.weight": [[-0.216264, 0.13625, -0.339765, -0.318804, 0.316591, -0.328477, -0.022546, -0.331282], [0.295092, -0.136983, -0.166078, 0.43393, 0.204385, 0.263899, -0.312383, -0.297115], [-0.333786, 0.337634, 0.103439, -0.267883, -0.291332, -0.197694, -0.308718, -0.191425], [-0.133768, -0.350825, -0.330557, -0.407775, 0.352132, 0.109955, -0.084854, -0.306262], [0.082252, 0.187066, 0.038407, -0.038473, 0.22989, -0.333888, -0.443721, -0.332824], [-0.095238, 0.488234, 0.286639, -0.447405, -0.156066, 0.11179, 0.553578, 0.442943], [-0.230654, -0.126105, -0.107709, -0.333642, 0.119667, -0.112604, -0.229693, 0.105688], [-0.052391, -0.288522, 0.193931, -0.445046, -0.183976, -0.459356, -0.319625, -0.245544]], "network.2.bias": [0.149649, -0.394243, -0.100233, -0.016777, -0.00323, 0.476899, 0.037564, -0.155838], "network.4.weight": [[-0.029481, -0.104739, 0.064675, -0.15807, 0.368764, -0.174001, 0.213538, 0.038235], [0.220411, 0.633975, 0.01229, 0.075255, -0.121838, -0.207113, -0.191975, 0.181101], [-0.16599, -0.022197, -0.270793, -0.196604, 0.018922, -0.144214, 0.244483, 0.300635], [-0.023761, -0.049585, -0.026071, 0.022343, 0.000155, 0.589854, -0.296672, -0.112422], [0.069366, 0.298251, -0.055732, -0.214765, -0.104206, -0.342934, 0.136747, 0.135032], [0.330772, -0.293301, -0.031544, 0.308206, -0.38768, -0.067541, -0.286918, -0.044854], [-0.12353, -0.336474, -0.321778, 0.164551, 0.133377, 0.656039, -0.029875, 0.160409], [0.203589, -0.253468, -0.256915, -0.093289, -0.268884, 0.559556, 0.110559, -0.043804]], "network.4.bias": [-0.575863, 0.115055, -0.122953, -0.076966, -0.206561, 0.37021, 0.412944, 0.322299], "network.6.weight": [[0.123073, 0.008014, -0.261115, -0.120982, 0.111382, -0.266599, 0.014017, -0.218129], [-0.181833, -0.234261, 0.339816, -0.196697, -0.017314, -0.078943, -0.038304, 0.224221], [-0.164077, 0.560268, -0.176034, 0.010398, 0.296094, -0.163947, -0.186871, -0.382947], [0.078343, -0.249143, -0.023442, 0.136122, 0.059993, -0.13338, -0.351969, 0.022761], [-0.019669, -0.250139, -0.258869, 0.290959, -0.172647, 0.359161, 0.53711, 0.724902], [-0.231141, -0.428764, 0.343862, 0.542036, 0.163538, 0.425517, 0.569104, 0.81715], [0.001936, 0.006677, 0.247576, 0.763545, -0.287434, 0.399793, 0.694364, 0.698581], [0.105944, 0.04226, 0.020671, 0.199244, 0.238186, -0.137617, -0.347343, -0.319978]], "network.6.bias": [-0.263909, -0.403587, 0.284538, -0.022144, 0.312151, 0.498567, -0.117527, 0.487392], "network.8.weight": [[-0.117621, -0.002721, 0.310563, -0.313379, -0.563865, -0.591872, -0.487965, 0.272099]], "network.8.bias": [-0.15941]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6819081008434296, "train_acc": 0.565, "val_loss": 0.6819716095924377, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6605305969715118, "train_acc": 0.565, "val_loss": 0.6615657210350037, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6275717616081238, "train_acc": 0.565, "val_loss": 0.6149194240570068, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6006037294864655, "train_acc": 0.575, "val_loss": 0.6040652990341187, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5828035473823547, "train_acc": 0.645, "val_loss": 0.5952688455581665, "val_acc": 0.6}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5593534111976624, "train_acc": 0.67, "val_loss": 0.5385194420814514, "val_acc": 0.68}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5100393295288086, "train_acc": 0.73, "val_loss": 0.45302435755729675, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5595941543579102, "train_acc": 0.705, "val_loss": 0.4504781663417816, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4978955388069153, "train_acc": 0.755, "val_loss": 0.5058062672615051, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.49628928303718567, "train_acc": 0.755, "val_loss": 0.4880950450897217, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.45967358350753784, "train_acc": 0.785, "val_loss": 0.4986446499824524, "val_acc": 0.8}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6819716095924377, "final_val_loss": 0.6149194240570068, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6040652990341187, "final_val_loss": 0.4986446499824524, "initial_val_acc": 0.6, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 7}, "improvement": 0.28, "first_improvement_epoch": 2}}
|
119
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 0.92, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7166, "learning_rate": 0.02376165881312369, "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: 5
Neurons per Layer: 6
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.4.weight": [
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0.651135,
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],
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[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[9.290550, 10.174349, 10.582786, 10.748735, 10.920193, 11.989995, 12.162975, 14.093202, 14.658520, 16.761883], [9.396112, 9.428240, 10.305160, 10.496054, 10.641019, 10.943743, 11.134977, 12.467487, 13.281965, 18.311299], [20.410200, 20.530282, 20.708986, 20.808089, 22.341178, 24.761208, 26.668779, 27.663986, 28.920134, 84.800530], [21.562945, 21.717032, 22.643508, 22.673897, 24.075608, 26.525757, 29.969396, 30.223772, 35.507838, 210.432115], [13.051426, 13.102512, 13.923596, 13.982099, 14.324295, 16.191548, 16.755981, 18.606173, 20.442706, 22.170411], [23.470590, 23.479300, 23.918166, 24.457712, 27.256391, 28.276171, 29.406752, 29.604783, 30.599650, 36.166763]]
### 2
fourier: [[7.970482, 8.082871, 8.296075, 8.399378, 8.856102, 9.083739, 10.586480, 13.433764, 13.895096, 15.999839], [10.110460, 11.719300, 13.573577, 14.415245, 15.280066, 15.603503, 15.904335, 20.066981, 22.926088, 23.558697], [10.662702, 11.444038, 11.897884, 11.954559, 12.058575, 12.071175, 12.411872, 13.677116, 18.085889, 97.391741], [8.696522, 8.844890, 9.380008, 10.102410, 11.292000, 11.382207, 11.648149, 12.268583, 13.471882, 14.399583], [11.284461, 11.284770, 11.597905, 12.591375, 12.604485, 12.737413, 12.787267, 15.142738, 15.347073, 19.422864], [8.244724, 8.350176, 8.370398, 8.827001, 8.963988, 10.072720, 11.770323, 11.915798, 14.273550, 73.526870]]
### 4
fourier: [[13.290909, 13.932274, 14.424767, 15.567568, 15.642622, 17.557508, 19.939261, 20.552040, 21.459270, 76.705090], [1.919296, 1.950096, 1.959225, 1.978408, 2.201649, 2.250188, 2.346543, 2.356131, 2.997570, 25.676160], [5.222427, 5.472632, 5.516351, 6.169009, 6.730758, 6.920717, 7.380439, 8.317889, 9.042315, 33.545044], [1.574959, 1.616186, 1.632779, 1.696009, 1.735979, 1.764473, 1.808154, 1.925799, 1.946680, 49.494183], [5.886363, 5.948043, 6.318114, 6.365090, 6.379476, 7.263134, 7.344045, 8.073918, 8.795367, 9.049163], [2.740913, 2.741525, 2.757676, 2.863725, 3.042873, 3.048527, 3.094577, 4.185779, 5.554196, 32.888128]]
### 6
fourier: [[2.061979, 2.433875, 2.554371, 2.689961, 2.731672, 2.740174, 3.032367, 3.097894, 3.248309, 11.281370], [2.852356, 2.852363, 3.089750, 3.369247, 3.525896, 3.713161, 3.746509, 3.793199, 4.092163, 66.636839], [1.172416, 1.277626, 1.354453, 1.448603, 1.496740, 1.582592, 1.706463, 1.783730, 2.178894, 83.595668], [2.311327, 2.368677, 2.689975, 2.822179, 2.834566, 2.997660, 3.213728, 3.267660, 3.536191, 45.514184], [3.831350, 3.913311, 4.033566, 4.257711, 4.323470, 4.686091, 4.800414, 4.861872, 4.886772, 5.177087], [6.530177, 6.539047, 6.732610, 6.891949, 6.928822, 7.201623, 7.211471, 8.228433, 8.830036, 8.908748]]
### 8
fourier: [[0.986437, 1.059620, 1.090416, 1.185684, 1.260430, 1.320149, 1.385968, 1.497552, 1.803625, 31.519023], [4.091011, 4.142589, 4.327729, 4.490064, 4.522819, 4.959483, 5.145770, 5.212299, 5.871052, 17.605721], [8.126859, 8.422301, 8.652424, 8.679703, 8.691315, 9.495652, 10.096800, 10.432745, 11.472094, 186.080030], [6.431559, 6.477332, 6.641788, 6.911906, 7.071308, 7.365743, 7.524415, 8.062513, 8.141465, 8.250430], [3.602604, 3.624930, 3.699420, 3.751280, 3.958906, 4.008670, 4.312599, 4.526207, 4.669875, 4.870889], [3.164181, 3.426533, 3.663864, 3.674835, 3.801543, 3.965532, 3.972040, 4.073044, 4.252774, 4.255508]]
### 10
fourier: [[10.287018, 10.341721, 10.653489, 10.848477, 11.424589, 11.708264, 12.654049, 13.036271, 13.691671, 129.789447]]
## 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: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.10.weight": [
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"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[9.290550, 10.174349, 10.582786, 10.748735, 10.920193, 11.989995, 12.162975, 14.093202, 14.658520, 16.761883], [9.396112, 9.428240, 10.305160, 10.496054, 10.641019, 10.943743, 11.134977, 12.467487, 13.281965, 18.311299], [20.410200, 20.530282, 20.708986, 20.808089, 22.341178, 24.761208, 26.668779, 27.663986, 28.920134, 84.800530], [21.562945, 21.717032, 22.643508, 22.673897, 24.075608, 26.525757, 29.969396, 30.223772, 35.507838, 210.432115], [13.051426, 13.102512, 13.923596, 13.982099, 14.324295, 16.191548, 16.755981, 18.606173, 20.442706, 22.170411], [23.470590, 23.479300, 23.918166, 24.457712, 27.256391, 28.276171, 29.406752, 29.604783, 30.599650, 36.166763]]
### 2
fourier: [[7.970482, 8.082871, 8.296075, 8.399378, 8.856102, 9.083739, 10.586480, 13.433764, 13.895096, 15.999839], [10.110460, 11.719300, 13.573577, 14.415245, 15.280066, 15.603503, 15.904335, 20.066981, 22.926088, 23.558697], [10.662702, 11.444038, 11.897884, 11.954559, 12.058575, 12.071175, 12.411872, 13.677116, 18.085889, 97.391741], [8.696522, 8.844890, 9.380008, 10.102410, 11.292000, 11.382207, 11.648149, 12.268583, 13.471882, 14.399583], [11.284461, 11.284770, 11.597905, 12.591375, 12.604485, 12.737413, 12.787267, 15.142738, 15.347073, 19.422864], [8.244724, 8.350176, 8.370398, 8.827001, 8.963988, 10.072720, 11.770323, 11.915798, 14.273550, 73.526870]]
### 4
fourier: [[13.290909, 13.932274, 14.424767, 15.567568, 15.642622, 17.557508, 19.939261, 20.552040, 21.459270, 76.705090], [1.919296, 1.950096, 1.959225, 1.978408, 2.201649, 2.250188, 2.346543, 2.356131, 2.997570, 25.676160], [5.222427, 5.472632, 5.516351, 6.169009, 6.730758, 6.920717, 7.380439, 8.317889, 9.042315, 33.545044], [1.574959, 1.616186, 1.632779, 1.696009, 1.735979, 1.764473, 1.808154, 1.925799, 1.946680, 49.494183], [5.886363, 5.948043, 6.318114, 6.365090, 6.379476, 7.263134, 7.344045, 8.073918, 8.795367, 9.049163], [2.740913, 2.741525, 2.757676, 2.863725, 3.042873, 3.048527, 3.094577, 4.185779, 5.554196, 32.888128]]
### 6
fourier: [[2.061979, 2.433875, 2.554371, 2.689961, 2.731672, 2.740174, 3.032367, 3.097894, 3.248309, 11.281370], [2.852356, 2.852363, 3.089750, 3.369247, 3.525896, 3.713161, 3.746509, 3.793199, 4.092163, 66.636839], [1.172416, 1.277626, 1.354453, 1.448603, 1.496740, 1.582592, 1.706463, 1.783730, 2.178894, 83.595668], [2.311327, 2.368677, 2.689975, 2.822179, 2.834566, 2.997660, 3.213728, 3.267660, 3.536191, 45.514184], [3.831350, 3.913311, 4.033566, 4.257711, 4.323470, 4.686091, 4.800414, 4.861872, 4.886772, 5.177087], [6.530177, 6.539047, 6.732610, 6.891949, 6.928822, 7.201623, 7.211471, 8.228433, 8.830036, 8.908748]]
### 8
fourier: [[0.986437, 1.059620, 1.090416, 1.185684, 1.260430, 1.320149, 1.385968, 1.497552, 1.803625, 31.519023], [4.091011, 4.142589, 4.327729, 4.490064, 4.522819, 4.959483, 5.145770, 5.212299, 5.871052, 17.605721], [8.126859, 8.422301, 8.652424, 8.679703, 8.691315, 9.495652, 10.096800, 10.432745, 11.472094, 186.080030], [6.431559, 6.477332, 6.641788, 6.911906, 7.071308, 7.365743, 7.524415, 8.062513, 8.141465, 8.250430], [3.602604, 3.624930, 3.699420, 3.751280, 3.958906, 4.008670, 4.312599, 4.526207, 4.669875, 4.870889], [3.164181, 3.426533, 3.663864, 3.674835, 3.801543, 3.965532, 3.972040, 4.073044, 4.252774, 4.255508]]
### 10
fourier: [[10.287018, 10.341721, 10.653489, 10.848477, 11.424589, 11.708264, 12.654049, 13.036271, 13.691671, 129.789447]]
## 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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"num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [10.287018015346709, 10.341721150378255, 10.653488849341661, 10.848476684311406, 11.424589245857506, 11.708263838628596, 12.654049169912327, 13.036270599279984, 13.691671072626432, 129.7894470691681]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "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": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.024962, -0.034478, 0.31567, -0.222233, 0.083934], [-0.003295, 0.447515, -0.136796, -0.19608, 0.185794], [0.607556, -0.059874, -0.18606, 0.608633, -0.322688], [-0.489579, 0.124632, -0.475311, -0.364443, -0.098813], [0.061948, -0.317694, 0.299339, -0.261275, 0.095586], [-0.519659, -0.483042, -0.092569, 0.455138, 0.497309]], "network.0.bias": [-0.059238, -0.305126, -0.223275, -0.059721, 0.190987, 0.321018], "network.2.weight": [[0.103239, -0.354127, -0.156792, 0.358139, -0.541751, 0.42262], [-0.654328, -0.232086, -0.368253, 0.086052, -0.55918, 0.453846], [-0.147889, 0.116886, 0.616524, -0.244016, 0.079603, -0.096299], [-0.187916, -0.080438, -0.42446, -0.260067, -0.553105, 0.245773], [0.278903, -0.236514, -0.289135, 0.168722, 0.602601, -0.210598], [-0.082654, 0.52533, 0.502586, -0.31788, 0.487077, 0.036983]], "network.2.bias": [0.25071, 0.302106, 0.40104, 0.447587, 0.093955, -0.120588], "network.4.weight": [[0.320984, 0.577752, -0.499799, 0.587076, -0.233475, -0.487772], [-0.089918, 0.142967, 0.172103, -0.133413, 0.158187, -0.38783], [-0.142697, 0.120154, 0.35121, 0.106127, 0.228826, 0.28972], [-0.398466, 0.031665, -0.09627, 0.32129, -0.071145, 0.074121], [0.50488, 0.241449, -0.03658, 0.234798, 0.365936, -0.199234], [0.01428, -0.056384, -0.122111, -0.471788, 0.169542, 0.130204]], "network.4.bias": [-0.237232, -0.173421, -0.309196, -0.429372, -0.233962, -0.274576], "network.6.weight": [[0.087432, -0.362274, -0.252719, -0.203989, 0.239716, -0.293937], [-0.638971, 0.120857, 0.143321, -0.167343, 0.24777, 0.287826], [0.12362, -0.327493, 0.238605, 0.067705, -0.106388, 0.151726], [-0.306432, 0.104164, 0.323329, 0.190743, 0.104043, -0.146121], [0.517589, 0.315914, -0.05389, -0.261939, 0.203012, 0.324993], [0.651135, -0.222796, -0.30249, 0.081922, 0.520053, -0.304955]], "network.6.bias": [-0.069692, 0.727033, 0.83313, 0.403287, -0.040964, -0.101064], "network.8.weight": [[0.137058, 0.157375, -0.250265, -0.506016, 0.232668, -0.23294], [-0.006014, -0.207339, -0.290946, -0.515718, 0.074225, 0.441232], [-0.11821, 0.823001, 0.894492, 0.346254, -0.55551, -0.604413], [0.366536, -0.626834, 0.140491, -0.169737, 0.223893, 0.597685], [-0.077197, -0.624436, 0.343974, -0.356403, 0.199473, 0.191864], [0.485996, 0.051826, 0.261682, -0.259593, 0.181891, 0.310233]], "network.8.bias": [0.027206, 0.437464, 0.557322, 0.240751, 0.245078, -0.229323], "network.10.weight": [[0.06881, 0.323331, -0.717434, 0.299117, 0.612388, 0.462628]], "network.10.bias": [-0.047887]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7106471061706543, "train_acc": 0.415, "val_loss": 0.6876687407493591, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6935618817806244, "train_acc": 0.505, "val_loss": 0.687655508518219, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.679411917924881, "train_acc": 0.585, "val_loss": 0.684918999671936, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6637032330036163, "train_acc": 0.585, "val_loss": 0.6664426922798157, "val_acc": 0.46}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6394833326339722, "train_acc": 0.585, "val_loss": 0.6388756632804871, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6165568828582764, "train_acc": 0.62, "val_loss": 0.6012771725654602, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5736231803894043, "train_acc": 0.815, "val_loss": 0.5226635932922363, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5298514366149902, "train_acc": 0.86, "val_loss": 0.46234557032585144, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.46659496426582336, "train_acc": 0.855, "val_loss": 0.3868882656097412, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.40406014025211334, "train_acc": 0.89, "val_loss": 0.3758116066455841, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.4043297916650772, "train_acc": 0.865, "val_loss": 0.3138851523399353, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.32569773495197296, "train_acc": 0.915, "val_loss": 0.3688124120235443, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3687059134244919, "train_acc": 0.885, "val_loss": 0.27696388959884644, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.2779097706079483, "train_acc": 0.915, "val_loss": 0.35519540309906006, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.2777576446533203, "train_acc": 0.865, "val_loss": 0.2483193576335907, "val_acc": 0.92}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6876687407493591, "final_val_loss": 0.6388756632804871, "initial_val_acc": 0.54, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.6012771725654602, "final_val_loss": 0.2483193576335907, "initial_val_acc": 0.74, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 10}, "improvement": 0.46, "first_improvement_epoch": 4}}
|
120
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{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 0.88, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7139, "learning_rate": 0.01613935010726621, "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: 5
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.0.bias": [
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"network.2.weight": [
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"network.4.weight": [
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"network.6.weight": [
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}
## Activation Signature
### 0
fourier: [[19.249671, 19.312718, 20.571706, 21.396030, 21.605778, 21.895504, 22.270266, 22.897637, 25.592711, 177.318732], [20.375871, 20.506181, 20.952640, 21.625053, 24.201140, 24.640845, 25.342422, 32.347451, 33.408055, 121.196829], [12.040582, 12.392948, 12.943047, 13.919781, 14.406812, 14.791689, 14.910297, 14.969874, 15.019952, 19.596193], [8.237559, 8.363725, 8.444593, 8.664419, 8.972394, 10.092632, 12.321357, 14.177399, 15.027493, 91.323325], [22.153809, 22.206437, 24.175903, 24.494599, 24.611298, 26.768591, 27.708641, 27.926917, 28.952690, 185.854781], [21.844911, 22.859837, 23.259086, 23.400105, 28.650093, 29.109266, 29.770927, 30.668390, 31.682838, 243.843127], [13.796904, 14.373731, 14.376948, 14.897163, 15.807650, 17.449307, 17.600550, 18.914009, 19.820285, 26.046766]]
### 2
fourier: [[19.812432, 21.067109, 22.697870, 23.676314, 24.782567, 25.169019, 26.700134, 27.751214, 30.634126, 204.796702], [5.881358, 6.160257, 6.659406, 7.078005, 7.176023, 7.202875, 7.339571, 8.429320, 10.040751, 63.354509], [10.814613, 12.544364, 13.631757, 14.092787, 14.462152, 15.316122, 15.846823, 17.211705, 20.577872, 66.465899], [14.705463, 15.761334, 16.451046, 16.968961, 17.933557, 17.957248, 17.972102, 18.430149, 21.458096, 49.060109], [3.626630, 3.757254, 3.935543, 4.085927, 4.161151, 4.218400, 4.314401, 4.326257, 4.364521, 42.908802], [16.102587, 16.733283, 16.975432, 17.800387, 19.591989, 20.846854, 21.708868, 22.112571, 24.186517, 155.843724], [24.189898, 24.250304, 27.103433, 27.857736, 28.388920, 31.311297, 32.214395, 34.737847, 36.677020, 278.784432]]
### 4
fourier: [[10.422365, 10.797541, 11.556508, 12.235691, 12.288822, 13.345049, 13.827163, 14.648435, 15.470410, 100.430635], [32.806073, 34.457419, 35.116799, 37.170656, 37.820016, 42.669245, 43.332928, 44.748881, 47.003212, 305.504622], [12.062818, 12.902056, 13.138714, 14.612781, 14.615356, 14.683674, 15.053760, 15.939375, 16.408215, 17.361995], [6.068434, 6.080579, 6.258238, 6.971215, 6.983189, 7.832910, 8.273802, 8.521539, 8.832985, 38.887734], [23.058137, 24.536842, 26.884190, 27.196531, 28.767715, 28.988572, 31.781932, 31.966942, 34.448283, 243.168251], [6.921529, 6.983806, 7.136211, 7.384932, 7.451039, 7.667387, 9.094739, 9.899237, 11.025927, 81.949892], [6.602966, 7.595453, 7.604346, 7.722490, 8.273553, 8.381831, 9.157352, 11.278662, 11.648864, 88.978808]]
### 6
fourier: [[9.401411, 9.407368, 10.650332, 10.787807, 11.064057, 11.996599, 13.089690, 13.250376, 13.550054, 57.724941], [31.207231, 31.455737, 32.786707, 35.825071, 37.444954, 39.057645, 40.302176, 43.033902, 43.547839, 301.016559], [15.130891, 15.192621, 16.564151, 17.126492, 18.149295, 18.862999, 20.403211, 21.003251, 21.385648, 137.371606], [15.414738, 15.568707, 17.086865, 17.807628, 18.076269, 19.752458, 20.625135, 21.436293, 22.274412, 130.528609], [17.057183, 17.439842, 18.435188, 20.120901, 20.429127, 21.818332, 22.931425, 24.245608, 24.657708, 106.484891], [14.367668, 14.640748, 14.983950, 16.887026, 17.533255, 18.536885, 18.849524, 20.330460, 20.590928, 130.603529], [10.396387, 11.192125, 11.393990, 11.727313, 12.880674, 13.314114, 13.864196, 14.193080, 16.210791, 73.930829]]
### 8
fourier: [[6.980612, 7.020126, 7.282709, 7.772702, 8.229987, 9.007138, 9.582077, 9.960047, 10.218349, 59.624364], [16.953049, 17.662336, 18.941989, 19.521356, 19.607704, 20.389441, 22.817441, 23.725524, 24.108651, 140.358659], [11.836190, 11.978670, 11.981290, 13.935760, 14.709303, 14.902335, 15.154256, 16.528747, 17.201844, 121.894264], [30.092596, 30.946481, 32.362697, 34.464541, 35.008064, 37.146661, 38.913138, 41.420733, 42.427884, 286.137837], [7.355718, 7.430573, 7.502003, 8.173128, 8.403510, 9.650331, 10.077211, 10.132914, 11.029401, 63.746857], [19.010878, 19.614116, 21.185892, 21.809253, 21.908796, 23.162481, 25.850230, 26.187210, 27.065302, 167.122763], [18.970880, 19.783910, 19.965216, 22.822135, 24.053985, 24.778651, 25.456161, 26.906976, 28.132469, 157.443884]]
### 10
fourier: [[14.732919, 15.147686, 16.761379, 17.032118, 17.150027, 17.665579, 19.487685, 20.739846, 21.265122, 145.992689]]
## 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: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[19.249671, 19.312718, 20.571706, 21.396030, 21.605778, 21.895504, 22.270266, 22.897637, 25.592711, 177.318732], [20.375871, 20.506181, 20.952640, 21.625053, 24.201140, 24.640845, 25.342422, 32.347451, 33.408055, 121.196829], [12.040582, 12.392948, 12.943047, 13.919781, 14.406812, 14.791689, 14.910297, 14.969874, 15.019952, 19.596193], [8.237559, 8.363725, 8.444593, 8.664419, 8.972394, 10.092632, 12.321357, 14.177399, 15.027493, 91.323325], [22.153809, 22.206437, 24.175903, 24.494599, 24.611298, 26.768591, 27.708641, 27.926917, 28.952690, 185.854781], [21.844911, 22.859837, 23.259086, 23.400105, 28.650093, 29.109266, 29.770927, 30.668390, 31.682838, 243.843127], [13.796904, 14.373731, 14.376948, 14.897163, 15.807650, 17.449307, 17.600550, 18.914009, 19.820285, 26.046766]]
### 2
fourier: [[19.812432, 21.067109, 22.697870, 23.676314, 24.782567, 25.169019, 26.700134, 27.751214, 30.634126, 204.796702], [5.881358, 6.160257, 6.659406, 7.078005, 7.176023, 7.202875, 7.339571, 8.429320, 10.040751, 63.354509], [10.814613, 12.544364, 13.631757, 14.092787, 14.462152, 15.316122, 15.846823, 17.211705, 20.577872, 66.465899], [14.705463, 15.761334, 16.451046, 16.968961, 17.933557, 17.957248, 17.972102, 18.430149, 21.458096, 49.060109], [3.626630, 3.757254, 3.935543, 4.085927, 4.161151, 4.218400, 4.314401, 4.326257, 4.364521, 42.908802], [16.102587, 16.733283, 16.975432, 17.800387, 19.591989, 20.846854, 21.708868, 22.112571, 24.186517, 155.843724], [24.189898, 24.250304, 27.103433, 27.857736, 28.388920, 31.311297, 32.214395, 34.737847, 36.677020, 278.784432]]
### 4
fourier: [[10.422365, 10.797541, 11.556508, 12.235691, 12.288822, 13.345049, 13.827163, 14.648435, 15.470410, 100.430635], [32.806073, 34.457419, 35.116799, 37.170656, 37.820016, 42.669245, 43.332928, 44.748881, 47.003212, 305.504622], [12.062818, 12.902056, 13.138714, 14.612781, 14.615356, 14.683674, 15.053760, 15.939375, 16.408215, 17.361995], [6.068434, 6.080579, 6.258238, 6.971215, 6.983189, 7.832910, 8.273802, 8.521539, 8.832985, 38.887734], [23.058137, 24.536842, 26.884190, 27.196531, 28.767715, 28.988572, 31.781932, 31.966942, 34.448283, 243.168251], [6.921529, 6.983806, 7.136211, 7.384932, 7.451039, 7.667387, 9.094739, 9.899237, 11.025927, 81.949892], [6.602966, 7.595453, 7.604346, 7.722490, 8.273553, 8.381831, 9.157352, 11.278662, 11.648864, 88.978808]]
### 6
fourier: [[9.401411, 9.407368, 10.650332, 10.787807, 11.064057, 11.996599, 13.089690, 13.250376, 13.550054, 57.724941], [31.207231, 31.455737, 32.786707, 35.825071, 37.444954, 39.057645, 40.302176, 43.033902, 43.547839, 301.016559], [15.130891, 15.192621, 16.564151, 17.126492, 18.149295, 18.862999, 20.403211, 21.003251, 21.385648, 137.371606], [15.414738, 15.568707, 17.086865, 17.807628, 18.076269, 19.752458, 20.625135, 21.436293, 22.274412, 130.528609], [17.057183, 17.439842, 18.435188, 20.120901, 20.429127, 21.818332, 22.931425, 24.245608, 24.657708, 106.484891], [14.367668, 14.640748, 14.983950, 16.887026, 17.533255, 18.536885, 18.849524, 20.330460, 20.590928, 130.603529], [10.396387, 11.192125, 11.393990, 11.727313, 12.880674, 13.314114, 13.864196, 14.193080, 16.210791, 73.930829]]
### 8
fourier: [[6.980612, 7.020126, 7.282709, 7.772702, 8.229987, 9.007138, 9.582077, 9.960047, 10.218349, 59.624364], [16.953049, 17.662336, 18.941989, 19.521356, 19.607704, 20.389441, 22.817441, 23.725524, 24.108651, 140.358659], [11.836190, 11.978670, 11.981290, 13.935760, 14.709303, 14.902335, 15.154256, 16.528747, 17.201844, 121.894264], [30.092596, 30.946481, 32.362697, 34.464541, 35.008064, 37.146661, 38.913138, 41.420733, 42.427884, 286.137837], [7.355718, 7.430573, 7.502003, 8.173128, 8.403510, 9.650331, 10.077211, 10.132914, 11.029401, 63.746857], [19.010878, 19.614116, 21.185892, 21.809253, 21.908796, 23.162481, 25.850230, 26.187210, 27.065302, 167.122763], [18.970880, 19.783910, 19.965216, 22.822135, 24.053985, 24.778651, 25.456161, 26.906976, 28.132469, 157.443884]]
### 10
fourier: [[14.732919, 15.147686, 16.761379, 17.032118, 17.150027, 17.665579, 19.487685, 20.739846, 21.265122, 145.992689]]
## 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": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.190288, 0.356379, 0.426178, -0.037053, -0.1145], [0.469221, 0.233354, -0.068483, 0.521626, -0.386933], [0.125445, -0.433764, 0.324662, 0.092707, -0.334503], [-0.10171, 0.032631, -0.007269, -0.1163, -0.301984], [0.301831, 0.182666, 0.557161, 0.29819, -0.257746], [-0.105696, 0.239388, 0.341548, 0.36373, 0.567788], [-0.019888, -0.261143, -0.122545, 0.364977, 0.367454]], "network.0.bias": [0.414441, -0.160839, 0.015207, -0.310561, -0.128829, 0.210955, -0.189865], "network.2.weight": [[0.280809, 0.39946, 0.068789, -0.434586, 0.349583, 0.072721, -0.444876], [-0.022761, 0.143352, 0.216089, -0.112922, 0.119604, -0.318279, 0.163757], [0.100923, -0.271063, -0.188045, 0.228255, -0.243406, 0.490208, 0.188703], [0.144611, -0.305204, 0.038926, -0.07336, -0.471416, 0.512051, 0.331839], [0.204291, -0.06322, -0.121173, 0.006028, 0.027656, -0.23141, 0.117613], [0.419192, 0.252482, -0.197418, -0.567903, 0.402631, -0.311404, 0.004679], [0.618112, 0.517646, 0.26609, -0.604558, 0.087428, 0.279185, -0.194769]], "network.2.bias": [0.405717, -0.386231, 0.094152, 0.130467, -0.247268, 0.545023, 0.233446], "network.4.weight": [[0.032502, 0.125777, 0.100769, -0.509193, 0.143983, -0.078634, 0.343183], [0.578897, -0.316999, -0.141332, -0.391011, -0.308601, 0.499483, 0.404894], [0.026948, -0.296242, 0.251456, 0.30883, -0.250985, -0.575615, 0.054398], [-0.344682, 0.132813, 0.273885, -0.259909, 0.057706, 0.009859, 0.017424], [0.501091, -0.443863, -0.206921, -0.090983, -0.213962, 0.035226, 0.46914], [-0.136297, -0.323103, -0.319145, -0.041445, -0.236724, 0.420436, -0.27571], [0.372589, 0.293228, -0.453899, 0.04224, 0.013395, -0.023931, -0.424956]], "network.4.bias": [0.406454, 0.286018, 0.420084, 0.259425, 0.210735, -0.29644, -0.15089], "network.6.weight": [[0.06362, -0.326021, 0.163388, -0.039697, 0.050464, -0.027572, 0.091235], [0.540517, 0.346546, -0.143175, 0.06514, 0.554804, 0.002874, -0.105297], [0.075028, -0.045963, -0.449747, -0.334983, 0.53064, -0.429805, -0.023341], [0.227714, 0.401316, -0.173404, -0.232599, -0.043837, -0.497816, -0.167301], [0.031908, -0.59697, 0.166709, 0.355401, 0.117429, -0.159862, -0.382894], [0.00265, 0.455127, -0.101522, -0.039919, -0.032549, 0.050248, 0.267937], [-0.499637, -0.159722, 0.414995, -0.174187, 0.085966, 0.120652, 0.184783]], "network.6.bias": [0.219686, 0.163998, 0.252438, -0.087872, 0.407068, 0.057287, -0.093037], "network.8.weight": [[0.370851, -0.116559, 0.249377, -0.031388, 0.020517, -0.366702, 0.459335], [0.311086, -0.265047, -0.25733, -0.333566, 0.318006, 0.097383, 0.252797], [-0.187989, -0.090475, -0.033328, -0.223706, 0.353437, -0.339121, -0.104348], [-0.165353, 0.601963, 0.409272, 0.249473, -0.154959, 0.011271, -0.425064], [-0.106084, -0.123564, -0.010671, 0.250261, -0.251761, 0.426265, -0.500482], [-0.297527, 0.137703, 0.396644, 0.305012, -0.177211, 0.204182, -0.428042], [-0.155994, -0.379877, -0.194014, 0.053578, 0.000878, -0.401008, -0.065275]], "network.8.bias": [-0.070135, 0.052069, -0.237458, 0.187621, 0.178179, 0.072152, 0.274468], "network.10.weight": [[0.218021, 0.29199, 0.215153, -0.322638, -0.196772, -0.194832, 0.133653]], "network.10.bias": [-0.071907]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6901521980762482, "train_acc": 0.565, "val_loss": 0.6917263865470886, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6843581795692444, "train_acc": 0.57, "val_loss": 0.6906951665878296, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6822069585323334, "train_acc": 0.57, "val_loss": 0.6861186027526855, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6686920523643494, "train_acc": 0.57, "val_loss": 0.6720649600028992, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6541395783424377, "train_acc": 0.57, "val_loss": 0.6412674188613892, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6316792666912079, "train_acc": 0.495, "val_loss": 0.5763148665428162, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5641252994537354, "train_acc": 0.59, "val_loss": 0.48937270045280457, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.47604528069496155, "train_acc": 0.835, "val_loss": 0.4033633768558502, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4005007743835449, "train_acc": 0.88, "val_loss": 0.33823004364967346, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.32930953800678253, "train_acc": 0.88, "val_loss": 0.30859267711639404, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.32240697741508484, "train_acc": 0.88, "val_loss": 0.3299423158168793, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3141738623380661, "train_acc": 0.88, "val_loss": 0.3633141815662384, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.32773391902446747, "train_acc": 0.885, "val_loss": 0.34293994307518005, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 5, "improved_epochs": 8, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6917263865470886, "final_val_loss": 0.6412674188613892, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5763148665428162, "final_val_loss": 0.34293994307518005, "initial_val_acc": 0.52, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 7}, "improvement": 0.36, "first_improvement_epoch": 4}}
|
121
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.62, "improved_accuracy": 0.82, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9231, "learning_rate": 0.08941410070078464, "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: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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1.365513,
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],
[
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-1.054071,
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],
[
-0.761274,
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],
[
-0.062671,
1.289941,
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],
[
0.400985,
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],
[
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]
],
"network.0.bias": [
-0.133028,
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],
"network.2.weight": [
[
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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.2.bias": [
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],
"network.4.weight": [
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[
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[
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],
[
-0.185655,
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0.167811,
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0.785074
],
[
-0.073233,
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0.228355,
-0.526538,
-0.321753,
-0.259539
],
[
0.584141,
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0.802753,
0.486311,
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]
],
"network.4.bias": [
0.526051,
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0.431216,
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],
"network.6.weight": [
[
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],
[
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0.772349,
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],
[
0.225944,
0.322613,
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[
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[
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}
## Activation Signature
### 0
fourier: [[35.610724, 36.906407, 37.379515, 40.403138, 41.760356, 47.301471, 48.387477, 56.073768, 56.229530, 336.193702], [35.026559, 35.133127, 36.229674, 36.717293, 37.648895, 38.657155, 39.491890, 45.150872, 52.811193, 139.217129], [32.023122, 35.101884, 37.261207, 37.401208, 38.742983, 38.870193, 42.099507, 48.648141, 57.872556, 187.751473], [28.907443, 30.384365, 32.563119, 37.557785, 38.044909, 43.313614, 44.342399, 44.968250, 49.122110, 194.869407], [38.886621, 39.265019, 42.558025, 47.371483, 48.038693, 51.220244, 53.202628, 60.486577, 61.494953, 347.136399], [26.600285, 27.815418, 28.126003, 28.985150, 29.055633, 30.668982, 33.032440, 40.288211, 42.544076, 149.105388]]
### 2
fourier: [[21.598452, 22.803976, 23.257924, 24.475968, 25.427072, 25.533973, 28.000628, 29.843737, 35.086465, 129.555576], [54.226133, 55.940066, 61.498230, 62.459633, 63.326413, 67.659638, 75.007968, 75.860293, 77.981400, 267.098548], [38.923988, 40.527733, 42.320830, 42.753415, 43.545928, 53.377741, 61.396166, 62.319459, 64.870082, 338.652661], [26.341498, 26.985558, 29.811117, 34.061533, 34.932742, 38.445914, 42.634795, 45.260400, 48.832440, 344.355468], [32.324535, 33.507896, 34.771668, 38.860794, 41.684838, 48.491773, 50.329849, 50.913212, 53.467973, 280.982030], [46.111846, 48.704234, 51.116754, 53.542950, 55.049696, 58.328511, 60.389594, 62.247547, 71.279952, 265.204231]]
### 4
fourier: [[16.538041, 17.824657, 19.787819, 20.594107, 20.936206, 22.755202, 23.415311, 24.207337, 26.365719, 72.421718], [9.964900, 10.314929, 10.552222, 10.973620, 12.913240, 13.006059, 15.546690, 15.628009, 17.445603, 17.564358], [46.069304, 50.040737, 56.641382, 60.939364, 61.659099, 68.282356, 70.965745, 71.558443, 76.265160, 524.704970], [19.426157, 20.750910, 21.328342, 21.659544, 22.799052, 22.935866, 23.161373, 29.284741, 30.116844, 31.511681], [11.898319, 12.510639, 13.253679, 13.760874, 14.902956, 15.663644, 16.716913, 16.823850, 19.755949, 86.440123], [34.842027, 35.213323, 36.571082, 37.240386, 38.770488, 40.804612, 43.345770, 44.051681, 49.274981, 175.137566]]
### 6
fourier: [[22.467478, 23.321787, 23.909316, 24.753943, 24.879514, 25.657764, 27.612113, 34.153734, 34.615503, 35.365298], [13.987231, 14.010280, 14.610193, 14.789999, 15.288586, 17.746832, 20.246152, 20.831778, 21.823575, 141.474604], [16.736949, 17.498330, 18.528383, 18.903677, 19.106771, 20.951751, 23.409565, 23.818849, 25.643080, 26.834262], [19.126101, 20.758274, 21.979744, 22.159730, 23.525777, 25.028391, 25.061499, 26.754235, 29.599641, 29.615347], [30.416126, 30.573060, 32.416527, 32.673610, 33.400463, 36.364195, 36.467857, 38.400533, 44.263036, 91.729795], [26.416178, 28.275588, 29.256394, 29.942882, 30.282557, 31.918783, 38.053935, 38.788857, 40.907425, 56.313856]]
### 8
fourier: [[13.936878, 16.130079, 16.427422, 17.391878, 18.262394, 18.421288, 19.302749, 19.848825, 22.347258, 59.511575]]
## 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: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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],
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],
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"network.2.weight": [
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],
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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],
[
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],
[
-0.185655,
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],
[
-0.073233,
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],
[
0.584141,
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],
"network.4.bias": [
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],
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[
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"network.8.bias": [
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}
## Activation Signature
### 0
fourier: [[35.610724, 36.906407, 37.379515, 40.403138, 41.760356, 47.301471, 48.387477, 56.073768, 56.229530, 336.193702], [35.026559, 35.133127, 36.229674, 36.717293, 37.648895, 38.657155, 39.491890, 45.150872, 52.811193, 139.217129], [32.023122, 35.101884, 37.261207, 37.401208, 38.742983, 38.870193, 42.099507, 48.648141, 57.872556, 187.751473], [28.907443, 30.384365, 32.563119, 37.557785, 38.044909, 43.313614, 44.342399, 44.968250, 49.122110, 194.869407], [38.886621, 39.265019, 42.558025, 47.371483, 48.038693, 51.220244, 53.202628, 60.486577, 61.494953, 347.136399], [26.600285, 27.815418, 28.126003, 28.985150, 29.055633, 30.668982, 33.032440, 40.288211, 42.544076, 149.105388]]
### 2
fourier: [[21.598452, 22.803976, 23.257924, 24.475968, 25.427072, 25.533973, 28.000628, 29.843737, 35.086465, 129.555576], [54.226133, 55.940066, 61.498230, 62.459633, 63.326413, 67.659638, 75.007968, 75.860293, 77.981400, 267.098548], [38.923988, 40.527733, 42.320830, 42.753415, 43.545928, 53.377741, 61.396166, 62.319459, 64.870082, 338.652661], [26.341498, 26.985558, 29.811117, 34.061533, 34.932742, 38.445914, 42.634795, 45.260400, 48.832440, 344.355468], [32.324535, 33.507896, 34.771668, 38.860794, 41.684838, 48.491773, 50.329849, 50.913212, 53.467973, 280.982030], [46.111846, 48.704234, 51.116754, 53.542950, 55.049696, 58.328511, 60.389594, 62.247547, 71.279952, 265.204231]]
### 4
fourier: [[16.538041, 17.824657, 19.787819, 20.594107, 20.936206, 22.755202, 23.415311, 24.207337, 26.365719, 72.421718], [9.964900, 10.314929, 10.552222, 10.973620, 12.913240, 13.006059, 15.546690, 15.628009, 17.445603, 17.564358], [46.069304, 50.040737, 56.641382, 60.939364, 61.659099, 68.282356, 70.965745, 71.558443, 76.265160, 524.704970], [19.426157, 20.750910, 21.328342, 21.659544, 22.799052, 22.935866, 23.161373, 29.284741, 30.116844, 31.511681], [11.898319, 12.510639, 13.253679, 13.760874, 14.902956, 15.663644, 16.716913, 16.823850, 19.755949, 86.440123], [34.842027, 35.213323, 36.571082, 37.240386, 38.770488, 40.804612, 43.345770, 44.051681, 49.274981, 175.137566]]
### 6
fourier: [[22.467478, 23.321787, 23.909316, 24.753943, 24.879514, 25.657764, 27.612113, 34.153734, 34.615503, 35.365298], [13.987231, 14.010280, 14.610193, 14.789999, 15.288586, 17.746832, 20.246152, 20.831778, 21.823575, 141.474604], [16.736949, 17.498330, 18.528383, 18.903677, 19.106771, 20.951751, 23.409565, 23.818849, 25.643080, 26.834262], [19.126101, 20.758274, 21.979744, 22.159730, 23.525777, 25.028391, 25.061499, 26.754235, 29.599641, 29.615347], [30.416126, 30.573060, 32.416527, 32.673610, 33.400463, 36.364195, 36.467857, 38.400533, 44.263036, 91.729795], [26.416178, 28.275588, 29.256394, 29.942882, 30.282557, 31.918783, 38.053935, 38.788857, 40.907425, 56.313856]]
### 8
fourier: [[13.936878, 16.130079, 16.427422, 17.391878, 18.262394, 18.421288, 19.302749, 19.848825, 22.347258, 59.511575]]
## 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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36.571082043519816, 37.24038563359266, 38.77048823227342, 40.80461191526573, 43.345769552529106, 44.05168111858252, 49.27498124886118, 175.13756558299065]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [22.467478324464075, 23.32178657226964, 23.909315647702208, 24.753943317377278, 24.87951442991073, 25.657764479724705, 27.61211284275822, 34.15373407515722, 34.61550307525323, 35.36529787560881]}, "1": {"fourier": [13.987230773713398, 14.010280123485064, 14.610193126899064, 14.789998858055858, 15.288586080766768, 17.74683212693063, 20.24615154021138, 20.831778300705682, 21.823574552181725, 141.47460439801216]}, "2": {"fourier": [16.736948931343147, 17.49833047067663, 18.528383099245016, 18.903677404991896, 19.106771410729568, 20.95175079881856, 23.409565095910768, 23.818848948344797, 25.643079536576366, 26.834261670708656]}, "3": {"fourier": [19.126101349894217, 20.758274263336194, 21.979743911670933, 22.159729685029646, 23.52577687635222, 25.028391225329496, 25.061498807121215, 26.754235370849685, 29.59964105152738, 29.615346763283014]}, "4": {"fourier": [30.41612555773725, 30.573060108373653, 32.416526987460855, 32.673609553585536, 33.4004629677581, 36.36419469267662, 36.46785664645898, 38.40053278844741, 44.26303569562836, 91.72979465126991]}, "5": {"fourier": [26.416177776696404, 28.275587539917193, 29.25639372005066, 29.942881659765685, 30.282557139955802, 31.918782602060688, 38.05393510874404, 38.78885659615122, 40.90742491414935, 56.31385624408722]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [13.936877932279694, 16.130079430259364, 16.42742213870973, 17.391877817161262, 18.262394201689336, 18.42128840407327, 19.302748796016683, 19.848825314718894, 22.347257507913433, 59.51157459616661]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.079825, 1.365513, 0.454605, -0.026862, 0.476408], [-0.762235, 0.061744, 0.569352, -1.054071, 0.634064], [-0.761274, -0.862301, 0.338414, -0.207203, 0.514349], [-0.062671, 1.289941, -0.044535, 0.071994, -0.169241], [0.400985, -1.441734, -0.209905, -0.562555, 0.156108], [0.860675, -0.756258, -0.27364, 0.877812, 0.023743]], "network.0.bias": [-0.133028, -0.421738, -0.4644, 0.04002, -0.27661, 0.623635], "network.2.weight": [[0.289106, -0.913081, -0.046005, 0.196474, -0.827654, 0.127712], [-0.957953, -0.25363, 0.017401, -0.603396, 0.613756, 0.523477], [-0.526547, -0.786242, -0.726161, -0.747, 0.132199, -0.14513], [-0.398474, 0.467198, -0.202881, -0.460822, -0.363621, -0.43205], [0.512543, -1.006422, 0.036723, 0.398699, 0.342695, 0.440625], [-0.791177, -0.484158, -0.407038, -0.511241, 0.5982, 0.426911]], "network.2.bias": [0.13203, 1.035186, 0.523758, -0.715903, -0.03155, 0.563796], "network.4.weight": [[0.024925, 0.346439, -0.632767, -0.105081, -0.476586, 0.02584], [0.200053, 0.070869, 0.439471, -1.093432, -0.393919, -0.180146], [-0.742344, -0.415789, -0.569391, -0.097942, -1.125951, -0.472055], [-0.185655, 0.87705, 0.167811, -0.279094, -0.19908, 0.785074], [-0.073233, -0.555901, 0.228355, -0.526538, -0.321753, -0.259539], [0.584141, -0.588971, -0.092102, 0.802753, 0.486311, -0.349492]], "network.4.bias": [0.526051, 0.700381, -0.859298, 0.408112, 0.431216, -0.099926], "network.6.weight": [[-0.558572, -0.429913, 0.078426, -0.891563, 0.553757, 0.355222], [0.861727, 0.41961, -1.408293, -0.692799, 0.772349, -0.448847], [0.225944, 0.322613, -0.90286, 0.624442, -0.219103, -0.274015], [0.334107, 0.360388, -0.656652, 0.66991, 0.300248, -0.334192], [-1.095813, -0.369672, 0.315787, -0.611583, -0.054949, 0.628414], [-0.711896, -0.090714, 0.528596, -1.01794, 0.145497, 0.448199]], "network.6.bias": [0.050757, -0.382165, -0.170299, -0.092826, 0.200699, 0.355106], "network.8.weight": [[-0.095603, 0.539419, 0.387211, 0.385513, -0.207448, -0.2152]], "network.8.bias": [-0.296966]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6941334009170532, "train_acc": 0.475, "val_loss": 0.6818023920059204, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6779839396476746, "train_acc": 0.59, "val_loss": 0.7352650165557861, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6591507196426392, "train_acc": 0.625, "val_loss": 0.6395400762557983, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6661230325698853, "train_acc": 0.58, "val_loss": 0.6410174369812012, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6452631056308746, "train_acc": 0.625, "val_loss": 0.5535610318183899, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6435381472110748, "train_acc": 0.655, "val_loss": 0.5278926491737366, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5919826328754425, "train_acc": 0.655, "val_loss": 0.5624035000801086, "val_acc": 0.68}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.6066204309463501, "train_acc": 0.655, "val_loss": 0.5356348156929016, "val_acc": 0.7}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.5939038991928101, "train_acc": 0.68, "val_loss": 0.4596324861049652, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.5608786046504974, "train_acc": 0.725, "val_loss": 0.4634263217449188, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.5405572950839996, "train_acc": 0.73, "val_loss": 0.4524853527545929, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.5403117835521698, "train_acc": 0.725, "val_loss": 0.44646668434143066, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.5824898034334183, "train_acc": 0.76, "val_loss": 0.4532327950000763, "val_acc": 0.82}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.6818023920059204, "final_val_loss": 0.6395400762557983, "initial_val_acc": 0.58, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.6410174369812012, "final_val_loss": 0.4532327950000763, "initial_val_acc": 0.58, "final_val_acc": 0.82, "best_val_acc": 0.82, "best_epoch": 12}, "improvement": 0.19999999999999996, "first_improvement_epoch": 2}}
|
122
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.6, "improved_accuracy": 0.8, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3884, "learning_rate": 0.02389180819913855, "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: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.215874,
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0.445011,
0.206907
],
[
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[
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0.145854
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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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[
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],
"network.2.bias": [
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"network.4.weight": [
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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.8.weight": [
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[
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[
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"network.8.bias": [
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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[19.202399, 19.419638, 19.554055, 19.615957, 21.000440, 23.399345, 25.555697, 26.458894, 30.189744, 203.088521], [7.074471, 7.617954, 7.918842, 8.538216, 8.795206, 9.942247, 10.490495, 11.984609, 12.119173, 80.667134], [19.219408, 19.469247, 19.564640, 20.095386, 20.706534, 21.736501, 21.848056, 25.674207, 30.806672, 129.781242], [18.705275, 19.504095, 20.410666, 20.505171, 20.907024, 20.927534, 21.993416, 23.146355, 32.216442, 101.126044], [17.187666, 17.254129, 17.507835, 17.652165, 18.965542, 19.577078, 20.689052, 22.586149, 24.974905, 50.428815], [6.412744, 6.567094, 6.742527, 6.976642, 7.681384, 7.753661, 8.429272, 8.945655, 9.147039, 64.007917]]
### 2
fourier: [[8.125644, 8.587621, 9.040212, 9.370990, 10.076546, 10.243994, 11.563594, 12.101215, 13.524782, 62.198842], [7.714457, 7.907354, 8.235243, 8.703158, 9.658309, 10.247889, 11.576682, 12.087236, 12.773975, 81.557089], [2.912883, 2.976410, 3.013652, 3.137166, 3.332352, 3.663145, 4.205290, 4.245486, 5.080268, 41.019484], [7.046457, 7.112473, 7.926115, 8.074682, 8.491399, 9.655799, 12.097977, 13.091719, 13.493920, 58.176170], [11.685088, 13.085416, 13.886188, 14.518764, 15.810485, 16.344609, 16.406692, 16.592356, 16.932542, 115.994464], [7.465973, 7.528871, 7.529330, 8.229907, 8.408960, 8.484150, 8.608011, 9.973071, 11.030547, 24.824627]]
### 4
fourier: [[1.731072, 1.754444, 1.790928, 1.861652, 1.950350, 2.008311, 2.056527, 2.337507, 2.465340, 2.573388], [7.658750, 7.680576, 8.521521, 9.124655, 9.208435, 9.328090, 13.733796, 13.822926, 14.281347, 105.178527], [4.933400, 5.252094, 5.552451, 5.757675, 5.806867, 5.828221, 8.634232, 8.844606, 9.456322, 47.347248], [7.811800, 7.968797, 8.053814, 8.292913, 8.308736, 8.886195, 12.723555, 13.492627, 13.983045, 27.074853], [2.783483, 2.868024, 2.874370, 3.170675, 3.176497, 3.445646, 3.473035, 3.631437, 4.299809, 5.919043], [4.886806, 4.986201, 5.456825, 5.484759, 5.505700, 5.878198, 6.850213, 6.983886, 8.246826, 13.428357]]
### 6
fourier: [[5.850548, 5.991126, 6.069580, 6.560287, 6.915038, 7.023210, 10.231448, 10.680864, 10.704082, 41.862097], [6.938500, 7.414158, 7.657584, 8.076749, 8.156201, 8.314665, 12.098949, 12.216144, 13.114152, 68.394432], [2.249749, 2.422392, 2.425834, 2.826859, 3.184744, 3.187408, 3.541403, 3.752658, 4.576164, 16.141992], [5.860471, 6.306935, 6.414629, 6.629503, 6.774828, 7.344847, 9.934990, 10.095824, 10.983500, 85.828782], [5.652125, 5.798523, 5.856160, 6.161795, 6.360503, 6.602979, 9.697885, 9.832898, 10.006394, 58.865267], [4.526742, 4.951461, 5.135664, 5.179500, 5.395050, 5.542871, 8.079560, 8.312330, 8.562973, 74.942384]]
### 8
fourier: [[1.929909, 1.987339, 1.993390, 2.027583, 2.050751, 2.240022, 2.652286, 2.900602, 3.214446, 20.973781], [3.342799, 3.485986, 3.500946, 3.703679, 3.733974, 3.917982, 5.784560, 5.893308, 5.987797, 64.722458], [6.034112, 6.273683, 6.391178, 6.814158, 6.982547, 7.044302, 10.288773, 10.431115, 10.937863, 89.203377], [1.632748, 1.668314, 1.705692, 1.753662, 1.775066, 1.998728, 2.040702, 2.389713, 2.723341, 43.063861], [4.441016, 4.534765, 4.723686, 4.889805, 4.891134, 5.130931, 7.634058, 7.762157, 7.890421, 68.166904], [3.281723, 3.331295, 3.414531, 3.491013, 3.544622, 3.721831, 5.427478, 5.499549, 5.813086, 39.613238]]
### 10
fourier: [[3.522727, 3.540443, 3.706111, 3.760939, 3.923872, 4.015596, 5.913771, 6.136353, 6.172568, 24.581158]]
## 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: 5
Neurons per Layer: 6
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.6.weight": [
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"network.8.weight": [
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"network.10.weight": [
[
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],
"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[19.202399, 19.419638, 19.554055, 19.615957, 21.000440, 23.399345, 25.555697, 26.458894, 30.189744, 203.088521], [7.074471, 7.617954, 7.918842, 8.538216, 8.795206, 9.942247, 10.490495, 11.984609, 12.119173, 80.667134], [19.219408, 19.469247, 19.564640, 20.095386, 20.706534, 21.736501, 21.848056, 25.674207, 30.806672, 129.781242], [18.705275, 19.504095, 20.410666, 20.505171, 20.907024, 20.927534, 21.993416, 23.146355, 32.216442, 101.126044], [17.187666, 17.254129, 17.507835, 17.652165, 18.965542, 19.577078, 20.689052, 22.586149, 24.974905, 50.428815], [6.412744, 6.567094, 6.742527, 6.976642, 7.681384, 7.753661, 8.429272, 8.945655, 9.147039, 64.007917]]
### 2
fourier: [[8.125644, 8.587621, 9.040212, 9.370990, 10.076546, 10.243994, 11.563594, 12.101215, 13.524782, 62.198842], [7.714457, 7.907354, 8.235243, 8.703158, 9.658309, 10.247889, 11.576682, 12.087236, 12.773975, 81.557089], [2.912883, 2.976410, 3.013652, 3.137166, 3.332352, 3.663145, 4.205290, 4.245486, 5.080268, 41.019484], [7.046457, 7.112473, 7.926115, 8.074682, 8.491399, 9.655799, 12.097977, 13.091719, 13.493920, 58.176170], [11.685088, 13.085416, 13.886188, 14.518764, 15.810485, 16.344609, 16.406692, 16.592356, 16.932542, 115.994464], [7.465973, 7.528871, 7.529330, 8.229907, 8.408960, 8.484150, 8.608011, 9.973071, 11.030547, 24.824627]]
### 4
fourier: [[1.731072, 1.754444, 1.790928, 1.861652, 1.950350, 2.008311, 2.056527, 2.337507, 2.465340, 2.573388], [7.658750, 7.680576, 8.521521, 9.124655, 9.208435, 9.328090, 13.733796, 13.822926, 14.281347, 105.178527], [4.933400, 5.252094, 5.552451, 5.757675, 5.806867, 5.828221, 8.634232, 8.844606, 9.456322, 47.347248], [7.811800, 7.968797, 8.053814, 8.292913, 8.308736, 8.886195, 12.723555, 13.492627, 13.983045, 27.074853], [2.783483, 2.868024, 2.874370, 3.170675, 3.176497, 3.445646, 3.473035, 3.631437, 4.299809, 5.919043], [4.886806, 4.986201, 5.456825, 5.484759, 5.505700, 5.878198, 6.850213, 6.983886, 8.246826, 13.428357]]
### 6
fourier: [[5.850548, 5.991126, 6.069580, 6.560287, 6.915038, 7.023210, 10.231448, 10.680864, 10.704082, 41.862097], [6.938500, 7.414158, 7.657584, 8.076749, 8.156201, 8.314665, 12.098949, 12.216144, 13.114152, 68.394432], [2.249749, 2.422392, 2.425834, 2.826859, 3.184744, 3.187408, 3.541403, 3.752658, 4.576164, 16.141992], [5.860471, 6.306935, 6.414629, 6.629503, 6.774828, 7.344847, 9.934990, 10.095824, 10.983500, 85.828782], [5.652125, 5.798523, 5.856160, 6.161795, 6.360503, 6.602979, 9.697885, 9.832898, 10.006394, 58.865267], [4.526742, 4.951461, 5.135664, 5.179500, 5.395050, 5.542871, 8.079560, 8.312330, 8.562973, 74.942384]]
### 8
fourier: [[1.929909, 1.987339, 1.993390, 2.027583, 2.050751, 2.240022, 2.652286, 2.900602, 3.214446, 20.973781], [3.342799, 3.485986, 3.500946, 3.703679, 3.733974, 3.917982, 5.784560, 5.893308, 5.987797, 64.722458], [6.034112, 6.273683, 6.391178, 6.814158, 6.982547, 7.044302, 10.288773, 10.431115, 10.937863, 89.203377], [1.632748, 1.668314, 1.705692, 1.753662, 1.775066, 1.998728, 2.040702, 2.389713, 2.723341, 43.063861], [4.441016, 4.534765, 4.723686, 4.889805, 4.891134, 5.130931, 7.634058, 7.762157, 7.890421, 68.166904], [3.281723, 3.331295, 3.414531, 3.491013, 3.544622, 3.721831, 5.427478, 5.499549, 5.813086, 39.613238]]
### 10
fourier: [[3.522727, 3.540443, 3.706111, 3.760939, 3.923872, 4.015596, 5.913771, 6.136353, 6.172568, 24.581158]]
## 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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6.414629349983, 6.629502869254382, 6.774827807532058, 7.3448470476151275, 9.934990490767694, 10.095824464934404, 10.983500008068088, 85.8287824690342]}, "4": {"fourier": [5.652125320149243, 5.7985232688816515, 5.856160246100755, 6.161794772170428, 6.360502915528514, 6.602978948656697, 9.697885194753232, 9.832897909195518, 10.006393745925905, 58.86526745930314]}, "5": {"fourier": [4.526742408748126, 4.951461473256508, 5.135664346497066, 5.179500132284629, 5.395050115890691, 5.542870945841339, 8.079560198855642, 8.31233021107, 8.56297287268282, 74.94238436222076]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [1.929908998776009, 1.9873392736996371, 1.9933897283693733, 2.0275830711146456, 2.050751272122177, 2.240021992808968, 2.652285897715619, 2.900601890231852, 3.2144455477836167, 20.973780661821365]}, "1": {"fourier": [3.3427992956019548, 3.4859856137661875, 3.5009458556174584, 3.70367929375235, 3.7339743054424215, 3.917982487410109, 5.784560329448657, 5.893307886286604, 5.987796528572756, 64.72245767712593]}, "2": {"fourier": [6.034112022947238, 6.273683317059054, 6.391178399886443, 6.814158068699594, 6.982546871926574, 7.044301979614023, 10.288773171070533, 10.431115341968086, 10.937863214399894, 89.20337717235088]}, "3": {"fourier": [1.6327482696932822, 1.6683142441971395, 1.705692207896067, 1.753661894740441, 1.7750662699713489, 1.9987281273339494, 2.0407015868490954, 2.389712785401991, 2.723340820360963, 43.063860803842545]}, "4": {"fourier": [4.441016276214988, 4.5347651931751765, 4.723685708810893, 4.889804553863673, 4.891134176784655, 5.130930522299266, 7.634058455492241, 7.762156950840896, 7.890421327743482, 68.16690415889025]}, "5": {"fourier": [3.281723467469651, 3.3312945579141098, 3.4145307407029257, 3.491013464466071, 3.544622339671369, 3.7218312890627554, 5.427477887085967, 5.499549110634173, 5.8130856471382675, 39.61323750112206]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [3.5227274539275735, 3.5404430498617065, 3.7061113138868653, 3.7609392188692756, 3.92387202887384, 4.015596265384997, 5.9137707489749625, 6.136353486216566, 6.172567756367627, 24.581157699227333]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.215874, 0.107737, 0.323477, 0.445011, 0.206907], [-0.005642, -0.267347, -0.048813, -0.078668, -0.000495], [-0.491716, 0.627686, 0.09374, 0.282302, 0.145854], [0.204633, -0.131019, -0.763803, 0.190305, -0.001451], [-0.36321, -0.508298, 0.109106, 0.312237, 0.111125], [0.025652, -0.182322, -0.009702, -0.049375, -0.171432]], "network.0.bias": [-0.09362, -0.130842, -0.070937, 0.049658, -0.216634, -0.07331], "network.2.weight": [[0.402422, -0.67226, -0.346227, -0.423549, 0.51024, -0.416712], [-0.349354, -0.515848, -0.128553, -0.295029, 0.012116, 0.210947], [0.028891, -0.353672, -0.057524, -0.514674, -0.332703, -0.350412], [0.477245, -0.333825, -0.354481, 0.055383, -0.21956, 0.068002], [-0.263648, 0.061103, -0.4809, 0.098913, -0.290489, -0.043683], [0.015816, 0.29751, 0.406207, 0.065454, -0.075113, 0.13284]], "network.2.bias": [0.120369, 0.033845, 0.462413, 0.1143, 0.055299, -0.303295], "network.4.weight": [[0.123683, 0.020841, 0.085097, 0.116324, 0.31905, 0.092529], [0.567381, -0.537015, 0.345148, 0.468137, -0.287793, -0.303462], [0.356585, -0.212609, -0.107187, 0.248785, -0.227063, -0.392593], [-0.437782, -0.29489, -0.047447, -0.5273, 0.429858, 0.442927], [0.199885, -0.46773, -0.054315, -0.117452, -0.032429, -0.396779], [-0.254739, 0.00022, -0.461673, 0.015236, 0.511046, 0.648901]], "network.4.bias": [-0.19401, 0.455194, 0.273138, 0.153475, 0.081806, 0.010959], "network.6.weight": [[0.447701, -0.468152, -0.362389, 0.374627, -0.423066, -0.125113], [-0.096646, 0.462158, 0.423491, -0.357348, 0.234338, -0.323027], [-0.201963, -0.017435, -0.09109, 0.405146, -0.161564, 0.216322], [0.017548, 0.5215, 0.007477, -0.203282, 0.381099, -0.435266], [0.025644, -0.318613, -0.619755, 0.146192, -0.170929, -0.034266], [0.453999, -0.49788, -0.018255, 0.33002, -0.251067, -0.03419]], "network.6.bias": [0.204661, 0.081797, -0.118119, 0.379769, -0.047356, -0.285696], "network.8.weight": [[-0.171694, -0.396557, 0.036723, 0.110874, -0.154966, 0.068488], [-0.248177, -0.462183, 0.436456, -0.045637, 0.056362, 0.35012], [-0.438924, 0.445915, -0.261269, 0.405673, -0.223845, -0.245425], [-0.280464, 0.08084, -0.322392, -0.430896, 0.04982, -0.169572], [-0.294838, -0.247727, 0.487066, -0.465774, 0.170958, -0.023084], [0.03708, -0.319121, -0.208092, -0.22283, 0.048972, 0.210978]], "network.8.bias": [-0.079859, -0.308987, 0.246009, -0.231989, -0.179428, -0.01614], "network.10.weight": [[0.06932, 0.405213, -0.544327, 0.032678, 0.251053, 0.160285]], "network.10.bias": [0.327594]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7042582631111145, "train_acc": 0.44, "val_loss": 0.6966540813446045, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6934954226016998, "train_acc": 0.49, "val_loss": 0.6787294149398804, "val_acc": 0.6}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6829582452774048, "train_acc": 0.56, "val_loss": 0.6635640859603882, "val_acc": 0.6}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6780430674552917, "train_acc": 0.56, "val_loss": 0.649024248123169, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6987248361110687, "train_acc": 0.475, "val_loss": 0.6645722985267639, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6807875037193298, "train_acc": 0.53, "val_loss": 0.6700519323348999, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6694447994232178, "train_acc": 0.67, "val_loss": 0.6427479386329651, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.6408349871635437, "train_acc": 0.725, "val_loss": 0.574140727519989, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.6115934550762177, "train_acc": 0.685, "val_loss": 0.525061309337616, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5569729804992676, "train_acc": 0.725, "val_loss": 0.4990730285644531, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.5474537312984467, "train_acc": 0.755, "val_loss": 0.4467524588108063, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.5235288739204407, "train_acc": 0.76, "val_loss": 0.4222731292247772, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.521565169095993, "train_acc": 0.77, "val_loss": 0.4311271011829376, "val_acc": 0.78}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.4693896025419235, "train_acc": 0.765, "val_loss": 0.41900143027305603, "val_acc": 0.78}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.6966540813446045, "final_val_loss": 0.649024248123169, "initial_val_acc": 0.44, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.6645722985267639, "final_val_loss": 0.41900143027305603, "initial_val_acc": 0.6, "final_val_acc": 0.78, "best_val_acc": 0.8, "best_epoch": 7}, "improvement": 0.20000000000000007, "first_improvement_epoch": 3}}
|
123
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.46, "improved_accuracy": 0.96, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8276, "learning_rate": 0.04202557319791031, "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: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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-0.050484,
-0.150778,
-0.222852,
-0.353513
],
[
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0.439725,
0.28433,
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],
[
-0.280906,
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-0.289112,
-0.36822
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[
-0.322133,
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0.112812,
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],
[
0.801849,
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0.20498
],
[
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-0.01688
]
],
"network.0.bias": [
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0.004441,
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],
"network.2.weight": [
[
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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.2.bias": [
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],
"network.4.weight": [
[
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[
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[
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[
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1.008547,
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
[
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[
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[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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[
0.142702,
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[
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[
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[
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],
"network.8.bias": [
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1.023906,
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],
"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[13.189001, 14.822471, 15.306630, 16.716548, 17.555858, 17.828125, 22.001925, 24.608974, 25.657145, 207.759029], [33.387302, 34.550137, 37.415287, 39.038761, 39.215491, 41.180519, 46.144759, 49.865771, 52.984223, 367.224688], [23.889973, 24.991344, 25.125417, 27.019025, 28.307565, 29.566668, 32.394941, 32.562721, 39.585551, 260.452386], [31.241391, 31.867352, 31.879739, 33.528357, 35.043879, 35.376503, 36.546779, 36.912628, 38.923334, 79.700158], [33.957002, 34.444304, 36.372170, 40.404048, 40.606189, 42.618954, 47.871694, 50.626764, 52.257895, 71.337393], [43.113203, 43.640705, 44.135072, 44.634943, 47.712563, 50.870310, 51.239964, 62.515363, 63.007201, 380.851138]]
### 2
fourier: [[30.887368, 31.131111, 31.461926, 31.654736, 31.978522, 33.441976, 33.527730, 35.401280, 37.477056, 157.713407], [60.418805, 62.430381, 62.900057, 67.720000, 69.405353, 74.362998, 76.347966, 82.428519, 86.708509, 368.989845], [31.324451, 31.918603, 32.630081, 32.693027, 33.304321, 34.187286, 35.810217, 38.030017, 45.890334, 105.267761], [85.623356, 91.516829, 92.225595, 92.833640, 102.241121, 107.654042, 109.159396, 116.655426, 121.893511, 631.269681], [13.553777, 13.844530, 14.530360, 14.859405, 15.161062, 16.395188, 17.144962, 18.515805, 20.730846, 200.581374], [41.434756, 43.155511, 43.489991, 44.364642, 49.244429, 52.350990, 54.071357, 55.510608, 58.831686, 355.396274]]
### 4
fourier: [[10.087398, 10.303575, 11.255697, 11.905098, 13.236116, 14.721871, 15.050444, 15.234083, 16.455265, 83.590908], [11.233615, 11.903927, 12.621326, 12.906563, 14.563895, 15.867211, 16.528784, 16.662778, 16.784688, 18.045979], [14.595250, 15.126920, 15.382021, 15.540977, 15.736929, 15.920032, 16.218495, 19.513190, 20.925677, 136.675190], [14.133087, 14.359003, 16.092082, 16.275738, 18.820893, 22.358769, 22.374606, 22.422710, 23.087224, 24.778715], [4.227586, 4.275440, 4.548593, 4.841847, 5.274692, 5.332408, 5.733449, 6.192846, 6.236282, 58.608116], [19.504495, 19.659146, 19.859109, 20.571853, 21.134593, 21.292559, 22.213478, 23.185760, 27.096718, 107.888923]]
### 6
fourier: [[9.038147, 10.870333, 10.960681, 13.365893, 14.115324, 14.663533, 14.825347, 14.907002, 14.967546, 118.309333], [9.855801, 11.071678, 12.521669, 12.707741, 15.606992, 15.696056, 15.756575, 16.193348, 16.940292, 100.764229], [26.894421, 27.543538, 27.719662, 28.914184, 29.376664, 29.884490, 30.254297, 31.972724, 38.205736, 151.648466], [14.631384, 14.753412, 14.827776, 15.045768, 16.057068, 16.219869, 17.630712, 17.799488, 20.463530, 75.532488], [24.209213, 24.256602, 24.310811, 24.609550, 27.068146, 27.160537, 27.181558, 28.732216, 33.838534, 192.795908], [12.722933, 13.700485, 14.185412, 16.175851, 16.596316, 17.588013, 18.788336, 20.619353, 20.764192, 49.839331]]
### 8
fourier: [[41.019799, 49.557997, 49.872948, 54.081607, 58.484229, 58.545424, 59.157960, 59.770599, 66.370364, 403.202010], [5.156285, 5.389066, 5.657301, 5.895932, 7.180792, 7.281248, 7.874946, 8.110602, 8.274591, 61.362928], [18.404010, 18.837930, 18.975734, 19.708034, 20.957157, 21.086671, 22.876210, 25.811591, 27.469023, 42.268334], [6.002576, 6.199473, 6.400538, 6.690502, 6.742687, 8.330040, 8.630189, 8.774224, 9.015620, 104.689055], [17.732971, 18.990077, 22.938484, 23.217109, 27.525590, 28.079024, 28.759527, 28.889199, 30.573109, 154.626839], [9.821167, 9.920211, 11.032441, 11.231135, 11.981006, 13.991943, 14.135672, 14.404421, 14.742050, 131.815177]]
### 10
fourier: [[52.985670, 66.869939, 67.758767, 72.551764, 77.165979, 77.565392, 78.722366, 78.762455, 82.856602, 577.281995]]
## 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: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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-0.222852,
-0.353513
],
[
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0.439725,
0.28433,
-0.134046
],
[
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-0.5088,
-0.289112,
-0.36822
],
[
-0.322133,
-0.672586,
0.112812,
0.541818,
0.882515
],
[
0.801849,
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0.20498
],
[
0.791071,
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0.305524,
-0.01688
]
],
"network.0.bias": [
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0.577932,
0.004441,
0.026049,
-0.602338,
0.040764
],
"network.2.weight": [
[
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],
[
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0.608411,
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],
[
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],
[
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],
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0.024748,
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],
[
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-0.615637
]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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0.2351,
0.745776,
0.109677,
0.076241
],
[
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0.333134,
0.298685,
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],
[
-0.205954,
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1.008547,
1.005413,
0.014829,
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[
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0.293138,
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[
0.656527,
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0.167157,
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],
"network.4.bias": [
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0.460862,
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"network.6.weight": [
[
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[
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0.044376
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],
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"network.8.weight": [
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[
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"network.8.bias": [
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1.023906,
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],
"network.10.weight": [
[
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]
],
"network.10.bias": [
-0.412419
]
}
## Activation Signature
### 0
fourier: [[13.189001, 14.822471, 15.306630, 16.716548, 17.555858, 17.828125, 22.001925, 24.608974, 25.657145, 207.759029], [33.387302, 34.550137, 37.415287, 39.038761, 39.215491, 41.180519, 46.144759, 49.865771, 52.984223, 367.224688], [23.889973, 24.991344, 25.125417, 27.019025, 28.307565, 29.566668, 32.394941, 32.562721, 39.585551, 260.452386], [31.241391, 31.867352, 31.879739, 33.528357, 35.043879, 35.376503, 36.546779, 36.912628, 38.923334, 79.700158], [33.957002, 34.444304, 36.372170, 40.404048, 40.606189, 42.618954, 47.871694, 50.626764, 52.257895, 71.337393], [43.113203, 43.640705, 44.135072, 44.634943, 47.712563, 50.870310, 51.239964, 62.515363, 63.007201, 380.851138]]
### 2
fourier: [[30.887368, 31.131111, 31.461926, 31.654736, 31.978522, 33.441976, 33.527730, 35.401280, 37.477056, 157.713407], [60.418805, 62.430381, 62.900057, 67.720000, 69.405353, 74.362998, 76.347966, 82.428519, 86.708509, 368.989845], [31.324451, 31.918603, 32.630081, 32.693027, 33.304321, 34.187286, 35.810217, 38.030017, 45.890334, 105.267761], [85.623356, 91.516829, 92.225595, 92.833640, 102.241121, 107.654042, 109.159396, 116.655426, 121.893511, 631.269681], [13.553777, 13.844530, 14.530360, 14.859405, 15.161062, 16.395188, 17.144962, 18.515805, 20.730846, 200.581374], [41.434756, 43.155511, 43.489991, 44.364642, 49.244429, 52.350990, 54.071357, 55.510608, 58.831686, 355.396274]]
### 4
fourier: [[10.087398, 10.303575, 11.255697, 11.905098, 13.236116, 14.721871, 15.050444, 15.234083, 16.455265, 83.590908], [11.233615, 11.903927, 12.621326, 12.906563, 14.563895, 15.867211, 16.528784, 16.662778, 16.784688, 18.045979], [14.595250, 15.126920, 15.382021, 15.540977, 15.736929, 15.920032, 16.218495, 19.513190, 20.925677, 136.675190], [14.133087, 14.359003, 16.092082, 16.275738, 18.820893, 22.358769, 22.374606, 22.422710, 23.087224, 24.778715], [4.227586, 4.275440, 4.548593, 4.841847, 5.274692, 5.332408, 5.733449, 6.192846, 6.236282, 58.608116], [19.504495, 19.659146, 19.859109, 20.571853, 21.134593, 21.292559, 22.213478, 23.185760, 27.096718, 107.888923]]
### 6
fourier: [[9.038147, 10.870333, 10.960681, 13.365893, 14.115324, 14.663533, 14.825347, 14.907002, 14.967546, 118.309333], [9.855801, 11.071678, 12.521669, 12.707741, 15.606992, 15.696056, 15.756575, 16.193348, 16.940292, 100.764229], [26.894421, 27.543538, 27.719662, 28.914184, 29.376664, 29.884490, 30.254297, 31.972724, 38.205736, 151.648466], [14.631384, 14.753412, 14.827776, 15.045768, 16.057068, 16.219869, 17.630712, 17.799488, 20.463530, 75.532488], [24.209213, 24.256602, 24.310811, 24.609550, 27.068146, 27.160537, 27.181558, 28.732216, 33.838534, 192.795908], [12.722933, 13.700485, 14.185412, 16.175851, 16.596316, 17.588013, 18.788336, 20.619353, 20.764192, 49.839331]]
### 8
fourier: [[41.019799, 49.557997, 49.872948, 54.081607, 58.484229, 58.545424, 59.157960, 59.770599, 66.370364, 403.202010], [5.156285, 5.389066, 5.657301, 5.895932, 7.180792, 7.281248, 7.874946, 8.110602, 8.274591, 61.362928], [18.404010, 18.837930, 18.975734, 19.708034, 20.957157, 21.086671, 22.876210, 25.811591, 27.469023, 42.268334], [6.002576, 6.199473, 6.400538, 6.690502, 6.742687, 8.330040, 8.630189, 8.774224, 9.015620, 104.689055], [17.732971, 18.990077, 22.938484, 23.217109, 27.525590, 28.079024, 28.759527, 28.889199, 30.573109, 154.626839], [9.821167, 9.920211, 11.032441, 11.231135, 11.981006, 13.991943, 14.135672, 14.404421, 14.742050, 131.815177]]
### 10
fourier: [[52.985670, 66.869939, 67.758767, 72.551764, 77.165979, 77.565392, 78.722366, 78.762455, 82.856602, 577.281995]]
## 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": [13.18900087008401, 14.822471358988935, 15.306630437213176, 16.716548060927106, 17.555858346037525, 17.82812539723344, 22.001925071672876, 24.608974482052684, 25.657144911864425, 207.7590287923813]}, "1": {"fourier": [33.387302484318184, 34.55013705411185, 37.41528696973089, 39.03876112802402, 39.21549130071668, 41.18051863659552, 46.14475855528132, 49.86577129662378, 52.984222788495856, 367.2246882915497]}, "2": {"fourier": [23.889972796390584, 24.9913437029169, 25.12541713650683, 27.019024819191767, 28.307565011576678, 29.566668482223168, 32.39494121620074, 32.56272061092185, 39.58555090584475, 260.45238573430106]}, "3": {"fourier": [31.241390642220303, 31.86735176408185, 31.87973874860031, 33.52835710376661, 35.043878964999216, 35.376502686439814, 36.54677945783142, 36.91262751252747, 38.92333398224732, 79.70015766471624]}, "4": {"fourier": [33.95700234949881, 34.44430420537958, 36.37217040816851, 40.404048476686775, 40.606189071632706, 42.61895364207483, 47.87169408539178, 50.626764439365644, 52.257894908721404, 71.33739292621613]}, "5": {"fourier": [43.11320287805304, 43.64070508336207, 44.13507237799368, 44.6349430839577, 47.71256303289362, 50.870309950932565, 51.23996351829268, 62.5153631511651, 63.00720144350774, 380.8511377889663]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [30.88736822777715, 31.131110826899093, 31.4619255412699, 31.654736382704186, 31.978522339734756, 33.44197567284523, 33.527729935293166, 35.4012800222943, 37.47705600469502, 157.71340736746788]}, "1": {"fourier": [60.418804510163795, 62.4303810724609, 62.90005746273255, 67.71999965003991, 69.40535296261065, 74.36299837268498, 76.34796637975646, 82.42851868124058, 86.70850942964195, 368.98984499275684]}, "2": {"fourier": [31.32445057427424, 31.91860266470762, 32.630080900582115, 32.69302683177663, 33.30432063765478, 34.187286442700255, 35.81021726472803, 38.03001709498494, 45.89033352404152, 105.2677612900734]}, "3": {"fourier": [85.62335582486683, 91.51682918327633, 92.22559503726893, 92.83363990374448, 102.24112062443915, 107.6540420251153, 109.15939641881307, 116.65542624231799, 121.89351064656825, 631.2696812748909]}, "4": {"fourier": [13.553777158883205, 13.844529885103233, 14.530359996799197, 14.859405159572159, 15.16106207484892, 16.395187733480082, 17.14496206618665, 18.5158053390087, 20.730846136051596, 200.5813735127449]}, "5": {"fourier": [41.434755697813436, 43.1555107006688, 43.48999100432718, 44.36464225482219, 49.24442946460137, 52.3509900856806, 54.07135661934135, 55.51060849991419, 58.83168577472824, 355.3962736725807]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [10.087398101992235, 10.303575203393383, 11.255696958327297, 11.90509802657085, 13.236116327601428, 14.72187076936734, 15.050444375135447, 15.234083244414006, 16.45526462574566, 83.59090825915337]}, "1": {"fourier": [11.233614746581958, 11.903926918609192, 12.621325677699868, 12.906563279429943, 14.563894798680293, 15.867211371660233, 16.528783677981867, 16.662778034144505, 16.784687789580346, 18.045979187352927]}, "2": {"fourier": [14.59525038164816, 15.126920470282816, 15.382021478719665, 15.540977430626024, 15.736928789391325, 15.92003207979751, 16.218494633596755, 19.513190369173913, 20.925677043312035, 136.67518973350525]}, "3": {"fourier": [14.133086555389763, 14.359003299014864, 16.092081882041757, 16.275737560446395, 18.8208926837301, 22.35876859469541, 22.374606002034632, 22.422709941770094, 23.08722385063789, 24.778715461882562]}, "4": {"fourier": [4.227586498508392, 4.275440224515773, 4.548593368513346, 4.841846976008559, 5.274691852022391, 5.332408175209648, 5.733448852811842, 6.192846418411051, 6.236282230958349, 58.608116149902344]}, "5": {"fourier": [19.504495162719344, 19.659146373601715, 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14.827776493805533, 15.04576839798777, 16.05706766892755, 16.21986872219018, 17.63071152538643, 17.79948791070302, 20.46352994317217, 75.53248825669289]}, "4": {"fourier": [24.20921312396815, 24.256601568103935, 24.310810719106634, 24.609550291738728, 27.068145525290543, 27.16053677279441, 27.181557874546304, 28.73221594124863, 33.83853364175184, 192.79590758681297]}, "5": {"fourier": [12.722933416989463, 13.700485495764628, 14.185412034667062, 16.17585127350477, 16.596315760415866, 17.588013166538154, 18.788336368103387, 20.619353396150544, 20.764192155642167, 49.83933135867119]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [41.019798978279525, 49.55799669005767, 49.872948103184704, 54.0816074555149, 58.484228835647286, 58.545423971131584, 59.15796039615596, 59.77059860062694, 66.37036368526898, 403.20200991630554]}, "1": {"fourier": [5.156285112567166, 5.389065824724855, 5.657300736559133, 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"layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [52.98566994473808, 66.86993923637408, 67.75876664194553, 72.55176372111394, 77.16597855968205, 77.5653924814566, 78.72236556207072, 78.76245486707266, 82.85660176873728, 577.281995087862]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "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": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.270992, -0.050484, -0.150778, -0.222852, -0.353513], [0.358521, 0.929218, 0.439725, 0.28433, -0.134046], [-0.280906, -0.226008, -0.5088, -0.289112, -0.36822], [-0.322133, -0.672586, 0.112812, 0.541818, 0.882515], [0.801849, 0.249871, 0.475221, -0.60794, 0.20498], [0.791071, 0.95787, 0.395741, 0.305524, -0.01688]], "network.0.bias": [-0.650354, 0.577932, 0.004441, 0.026049, -0.602338, 0.040764], "network.2.weight": [[0.145058, 0.113544, 0.275936, -0.023157, 0.548485, 0.242749], [-0.361297, -0.48211, -0.246116, 0.608411, -0.765852, -0.555042], [0.356674, -0.061732, 0.188461, 0.176849, -0.745354, -0.179747], [-0.234509, -0.87876, 0.439066, 0.426315, -0.815976, -0.880344], [-0.027939, -0.227113, -0.424455, -0.259673, 0.024748, -0.136282], [0.084846, -0.205818, 0.13575, 0.286477, -0.328895, -0.615637]], "network.2.bias": [-0.50409, 0.483139, 0.681011, 0.890165, -0.399478, -0.424353], "network.4.weight": [[0.257213, -0.464037, -0.387939, -0.453006, 0.295388, -0.210082], [-0.278944, 0.582333, 0.2351, 0.745776, 0.109677, 0.076241], [0.549769, -0.344082, 0.377939, 0.333134, 0.298685, -0.317707], [-0.205954, 0.941269, 1.008547, 1.005413, 0.014829, -0.06531], [-0.144202, -0.285202, 0.293138, -0.326905, -0.105129, -0.054074], [0.656527, -0.221607, -0.085347, -0.019736, 0.167157, -0.359481]], "network.4.bias": [0.664691, 0.12362, 0.460862, -0.067259, -0.390428, 0.069429], "network.6.weight": [[-0.024236, -0.009774, -0.374148, -0.341581, 0.396798, -0.353409], [0.592586, -0.301069, 0.273815, -0.384441, 0.030316, -0.17828], [0.446533, 0.020432, 0.548897, -0.394312, 0.373184, 0.636241], [-0.067826, 0.813025, 0.350831, 0.728413, -0.129045, 0.044376], [0.563492, 0.170339, 0.371786, -0.489752, -0.403432, 0.54511], [0.039721, 0.650016, 0.684293, 0.707151, 0.303532, -0.577656]], "network.6.bias": [-0.144754, 0.561253, -0.216091, -0.165005, 0.511437, -0.253318], "network.8.weight": [[0.031918, 0.683475, 0.542956, -0.206155, 1.040332, -0.508229], [0.402167, 0.047006, -0.403253, -0.345229, 0.251075, 0.168722], [0.142702, -0.383896, 0.168047, 0.611172, -0.105403, 0.599162], [-0.135461, -0.411507, 0.100852, -0.082487, -0.284984, -0.347488], [-0.053124, 0.375375, 0.102703, -0.472549, 0.312908, -0.411991], [0.235632, -0.197055, -0.210169, -0.117844, -0.217735, -0.374767]], "network.8.bias": [0.869244, -0.373882, 0.017881, 0.037321, 1.023906, -0.070629], "network.10.weight": [[-0.930687, -0.082083, 0.461428, -0.125424, -1.050731, -0.059122]], "network.10.bias": [-0.412419]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6867785453796387, "train_acc": 0.57, "val_loss": 0.7037135362625122, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6825882792472839, "train_acc": 0.57, "val_loss": 0.7099632024765015, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6819934248924255, "train_acc": 0.57, "val_loss": 0.7047656178474426, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6741324365139008, "train_acc": 0.57, "val_loss": 0.6791502237319946, "val_acc": 0.46}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6576060652732849, "train_acc": 0.57, "val_loss": 0.6355042457580566, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6105804443359375, "train_acc": 0.61, "val_loss": 0.5027770400047302, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.500722125172615, "train_acc": 0.84, "val_loss": 0.35754334926605225, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.39245232939720154, "train_acc": 0.865, "val_loss": 0.2809945046901703, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.32738350331783295, "train_acc": 0.885, "val_loss": 0.24298034608364105, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.29602864384651184, "train_acc": 0.895, "val_loss": 0.21361732482910156, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.25205496698617935, "train_acc": 0.9, "val_loss": 0.20408843457698822, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.23375209420919418, "train_acc": 0.905, "val_loss": 0.22530488669872284, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.23142626881599426, "train_acc": 0.905, "val_loss": 0.16543292999267578, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.18523697555065155, "train_acc": 0.915, "val_loss": 0.15323378145694733, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.16829033941030502, "train_acc": 0.92, "val_loss": 0.13368168473243713, "val_acc": 0.96}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7037135362625122, "final_val_loss": 0.6355042457580566, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5027770400047302, "final_val_loss": 0.13368168473243713, "initial_val_acc": 0.84, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 12}, "improvement": 0.49999999999999994, "first_improvement_epoch": 4}}
|
124
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.76, "improved_accuracy": 0.92, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4916, "learning_rate": 0.08647722713598913, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.00102,
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[
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[
1.271228,
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[
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"network.2.weight": [
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[
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"network.8.weight": [
[
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"network.10.weight": [
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[
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"network.10.bias": [
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"network.12.weight": [
[
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],
"network.12.bias": [
0.001684
]
}
## Activation Signature
### 0
fourier: [[30.620734, 32.927174, 34.088799, 34.471304, 36.214673, 36.796004, 37.310094, 40.883551, 42.856601, 56.382734], [25.018615, 25.500563, 25.503216, 26.688382, 27.444332, 30.441670, 31.515473, 38.439670, 38.814417, 86.002661], [39.858111, 43.095726, 46.702946, 47.068892, 49.245708, 53.859829, 55.745212, 57.076854, 63.842094, 301.413730], [37.144685, 37.447233, 37.619219, 39.941261, 40.318731, 46.403200, 51.810157, 52.258687, 52.327407, 331.031430], [43.806702, 45.738858, 48.219003, 48.342462, 48.870186, 50.535908, 53.514887, 58.105187, 68.040657, 88.521082], [29.868105, 30.771324, 32.110944, 33.785143, 36.177259, 40.550874, 43.292506, 48.060289, 49.975323, 368.266550], [36.920087, 36.982109, 37.424689, 37.778780, 40.700158, 41.701126, 44.304227, 48.638537, 53.010827, 455.114640]]
### 2
fourier: [[8.228063, 8.673387, 9.220062, 9.488183, 9.684893, 11.105989, 11.745462, 11.758538, 12.188975, 64.111651], [62.394452, 62.692308, 67.885874, 68.401289, 68.864276, 78.270313, 80.380415, 88.780539, 94.873797, 356.138129], [40.642290, 51.272232, 53.473242, 54.720929, 55.197254, 60.546461, 65.005081, 65.019412, 70.154631, 284.309519], [111.144960, 120.951114, 121.625044, 125.163060, 127.523486, 141.913162, 143.743479, 164.995530, 166.201812, 652.503237], [19.706375, 20.289629, 20.595543, 21.645092, 21.711379, 26.058380, 26.325487, 26.564678, 26.997672, 214.999546], [26.368827, 27.403288, 27.510479, 27.706383, 31.318601, 33.238864, 33.986346, 37.689810, 41.533443, 158.586002], [24.377760, 25.693027, 26.235410, 28.455443, 29.274314, 31.221189, 32.872188, 32.919473, 33.593098, 167.937487]]
### 4
fourier: [[57.174896, 57.810732, 62.872680, 64.861409, 66.374772, 72.646272, 74.130598, 83.591393, 86.724356, 343.591844], [20.096627, 20.325860, 20.661192, 21.851584, 22.173149, 24.806246, 26.036082, 27.623478, 29.208147, 159.252463], [114.719677, 119.591606, 120.488224, 123.874000, 124.224664, 141.993941, 146.398517, 161.284601, 166.674219, 658.842286], [127.229613, 127.954230, 135.469204, 135.488919, 136.204381, 156.352814, 161.562726, 176.690015, 183.288192, 696.996407], [164.030507, 173.734496, 175.465739, 177.519489, 179.323205, 204.859301, 210.167440, 233.856481, 240.848462, 869.631293], [63.468506, 66.652868, 67.600055, 68.687969, 69.288586, 79.073192, 81.255513, 90.092760, 93.116764, 421.239378], [169.542184, 178.263364, 179.449285, 182.872401, 183.938423, 210.753770, 216.675935, 239.762915, 247.803517, 924.576108]]
### 6
fourier: [[209.968436, 218.569954, 222.354079, 226.771430, 229.470769, 261.051632, 267.330137, 296.020611, 305.349352, 1211.279790], [32.335473, 33.157444, 34.737001, 35.018511, 35.665599, 40.258135, 41.020374, 45.625615, 46.860232, 181.166480], [84.301949, 88.039954, 89.545581, 91.024120, 92.126228, 104.893783, 107.345647, 119.145265, 122.874103, 318.850133], [255.464837, 266.078283, 270.744077, 275.900117, 279.212537, 317.674059, 325.253915, 360.355369, 371.680422, 1354.029343], [15.189124, 15.306988, 16.322100, 16.487340, 16.844272, 18.887122, 19.225194, 21.304609, 21.838447, 110.990748], [191.806000, 200.019109, 203.408850, 207.122849, 209.597977, 238.562960, 244.229108, 270.753025, 279.266037, 998.587276], [44.326657, 46.347199, 46.659633, 47.830210, 48.283890, 55.070970, 56.507657, 62.431124, 64.502620, 274.117704]]
### 8
fourier: [[5.257756, 6.471674, 6.521730, 6.794568, 7.171715, 7.942973, 8.106954, 9.168069, 9.653015, 36.361767], [152.393032, 154.239726, 160.879890, 164.501921, 167.128410, 188.220348, 191.816857, 212.404687, 218.488793, 826.759252], [44.985217, 45.368144, 46.556585, 46.619010, 59.337279, 59.424216, 62.148015, 65.408312, 70.316625, 105.520845], [33.076130, 36.457306, 38.121531, 39.255085, 40.474557, 43.484178, 43.951701, 49.411713, 50.120771, 218.065193], [189.297042, 199.585214, 200.700938, 204.514765, 206.581358, 236.697655, 242.276131, 267.303991, 276.308761, 945.653141], [41.680915, 43.585199, 44.002311, 44.633793, 56.585770, 59.167801, 59.963167, 62.972172, 68.178860, 109.702497], [205.298864, 205.408029, 216.617089, 221.506298, 225.415685, 252.220716, 257.106029, 285.885264, 293.476747, 1129.965628]]
### 10
fourier: [[37.544755, 46.641121, 47.801043, 49.943777, 50.865585, 51.166408, 53.036676, 58.527257, 60.152835, 312.058995], [191.911352, 204.613852, 207.057281, 207.425165, 208.890731, 242.706724, 249.228660, 273.062573, 282.789605, 925.792368], [113.058005, 128.745513, 134.843324, 138.450289, 143.485230, 152.760821, 154.395631, 173.159058, 174.886583, 701.430448], [64.888037, 66.472752, 69.544612, 72.082786, 88.569029, 94.470398, 95.642036, 96.520658, 105.562639, 170.712255], [173.511422, 186.638209, 187.056781, 188.031863, 207.028598, 227.747608, 235.934515, 253.700513, 266.810064, 820.025443], [54.036257, 60.141939, 62.985136, 64.741868, 66.757875, 71.530042, 72.363864, 81.835379, 82.506048, 371.383823], [68.841043, 70.321453, 72.118979, 75.219498, 93.005430, 99.082232, 100.504452, 101.079176, 111.088687, 186.585781]]
### 12
fourier: [[409.307956, 438.733088, 439.337768, 441.065732, 447.574897, 520.729856, 534.706742, 581.328135, 601.382043, 1999.970906]]
## 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: 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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"network.4.weight": [
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[
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[
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[
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[
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"network.8.weight": [
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[
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"network.10.weight": [
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[30.620734, 32.927174, 34.088799, 34.471304, 36.214673, 36.796004, 37.310094, 40.883551, 42.856601, 56.382734], [25.018615, 25.500563, 25.503216, 26.688382, 27.444332, 30.441670, 31.515473, 38.439670, 38.814417, 86.002661], [39.858111, 43.095726, 46.702946, 47.068892, 49.245708, 53.859829, 55.745212, 57.076854, 63.842094, 301.413730], [37.144685, 37.447233, 37.619219, 39.941261, 40.318731, 46.403200, 51.810157, 52.258687, 52.327407, 331.031430], [43.806702, 45.738858, 48.219003, 48.342462, 48.870186, 50.535908, 53.514887, 58.105187, 68.040657, 88.521082], [29.868105, 30.771324, 32.110944, 33.785143, 36.177259, 40.550874, 43.292506, 48.060289, 49.975323, 368.266550], [36.920087, 36.982109, 37.424689, 37.778780, 40.700158, 41.701126, 44.304227, 48.638537, 53.010827, 455.114640]]
### 2
fourier: [[8.228063, 8.673387, 9.220062, 9.488183, 9.684893, 11.105989, 11.745462, 11.758538, 12.188975, 64.111651], [62.394452, 62.692308, 67.885874, 68.401289, 68.864276, 78.270313, 80.380415, 88.780539, 94.873797, 356.138129], [40.642290, 51.272232, 53.473242, 54.720929, 55.197254, 60.546461, 65.005081, 65.019412, 70.154631, 284.309519], [111.144960, 120.951114, 121.625044, 125.163060, 127.523486, 141.913162, 143.743479, 164.995530, 166.201812, 652.503237], [19.706375, 20.289629, 20.595543, 21.645092, 21.711379, 26.058380, 26.325487, 26.564678, 26.997672, 214.999546], [26.368827, 27.403288, 27.510479, 27.706383, 31.318601, 33.238864, 33.986346, 37.689810, 41.533443, 158.586002], [24.377760, 25.693027, 26.235410, 28.455443, 29.274314, 31.221189, 32.872188, 32.919473, 33.593098, 167.937487]]
### 4
fourier: [[57.174896, 57.810732, 62.872680, 64.861409, 66.374772, 72.646272, 74.130598, 83.591393, 86.724356, 343.591844], [20.096627, 20.325860, 20.661192, 21.851584, 22.173149, 24.806246, 26.036082, 27.623478, 29.208147, 159.252463], [114.719677, 119.591606, 120.488224, 123.874000, 124.224664, 141.993941, 146.398517, 161.284601, 166.674219, 658.842286], [127.229613, 127.954230, 135.469204, 135.488919, 136.204381, 156.352814, 161.562726, 176.690015, 183.288192, 696.996407], [164.030507, 173.734496, 175.465739, 177.519489, 179.323205, 204.859301, 210.167440, 233.856481, 240.848462, 869.631293], [63.468506, 66.652868, 67.600055, 68.687969, 69.288586, 79.073192, 81.255513, 90.092760, 93.116764, 421.239378], [169.542184, 178.263364, 179.449285, 182.872401, 183.938423, 210.753770, 216.675935, 239.762915, 247.803517, 924.576108]]
### 6
fourier: [[209.968436, 218.569954, 222.354079, 226.771430, 229.470769, 261.051632, 267.330137, 296.020611, 305.349352, 1211.279790], [32.335473, 33.157444, 34.737001, 35.018511, 35.665599, 40.258135, 41.020374, 45.625615, 46.860232, 181.166480], [84.301949, 88.039954, 89.545581, 91.024120, 92.126228, 104.893783, 107.345647, 119.145265, 122.874103, 318.850133], [255.464837, 266.078283, 270.744077, 275.900117, 279.212537, 317.674059, 325.253915, 360.355369, 371.680422, 1354.029343], [15.189124, 15.306988, 16.322100, 16.487340, 16.844272, 18.887122, 19.225194, 21.304609, 21.838447, 110.990748], [191.806000, 200.019109, 203.408850, 207.122849, 209.597977, 238.562960, 244.229108, 270.753025, 279.266037, 998.587276], [44.326657, 46.347199, 46.659633, 47.830210, 48.283890, 55.070970, 56.507657, 62.431124, 64.502620, 274.117704]]
### 8
fourier: [[5.257756, 6.471674, 6.521730, 6.794568, 7.171715, 7.942973, 8.106954, 9.168069, 9.653015, 36.361767], [152.393032, 154.239726, 160.879890, 164.501921, 167.128410, 188.220348, 191.816857, 212.404687, 218.488793, 826.759252], [44.985217, 45.368144, 46.556585, 46.619010, 59.337279, 59.424216, 62.148015, 65.408312, 70.316625, 105.520845], [33.076130, 36.457306, 38.121531, 39.255085, 40.474557, 43.484178, 43.951701, 49.411713, 50.120771, 218.065193], [189.297042, 199.585214, 200.700938, 204.514765, 206.581358, 236.697655, 242.276131, 267.303991, 276.308761, 945.653141], [41.680915, 43.585199, 44.002311, 44.633793, 56.585770, 59.167801, 59.963167, 62.972172, 68.178860, 109.702497], [205.298864, 205.408029, 216.617089, 221.506298, 225.415685, 252.220716, 257.106029, 285.885264, 293.476747, 1129.965628]]
### 10
fourier: [[37.544755, 46.641121, 47.801043, 49.943777, 50.865585, 51.166408, 53.036676, 58.527257, 60.152835, 312.058995], [191.911352, 204.613852, 207.057281, 207.425165, 208.890731, 242.706724, 249.228660, 273.062573, 282.789605, 925.792368], [113.058005, 128.745513, 134.843324, 138.450289, 143.485230, 152.760821, 154.395631, 173.159058, 174.886583, 701.430448], [64.888037, 66.472752, 69.544612, 72.082786, 88.569029, 94.470398, 95.642036, 96.520658, 105.562639, 170.712255], [173.511422, 186.638209, 187.056781, 188.031863, 207.028598, 227.747608, 235.934515, 253.700513, 266.810064, 820.025443], [54.036257, 60.141939, 62.985136, 64.741868, 66.757875, 71.530042, 72.363864, 81.835379, 82.506048, 371.383823], [68.841043, 70.321453, 72.118979, 75.219498, 93.005430, 99.082232, 100.504452, 101.079176, 111.088687, 186.585781]]
### 12
fourier: [[409.307956, 438.733088, 439.337768, 441.065732, 447.574897, 520.729856, 534.706742, 581.328135, 601.382043, 1999.970906]]
## 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": 0.6916634440422058, "train_acc": 0.55, "val_loss": 0.6851789355278015, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6929939389228821, "train_acc": 0.55, "val_loss": 0.6840627193450928, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6879164278507233, "train_acc": 0.55, "val_loss": 0.673664391040802, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6646748781204224, "train_acc": 0.605, "val_loss": 0.6407004594802856, "val_acc": 0.76}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6980264782905579, "train_acc": 0.735, "val_loss": 0.6106705069541931, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5723919868469238, "train_acc": 0.745, "val_loss": 0.5766735076904297, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5586786866188049, "train_acc": 0.66, "val_loss": 0.47364482283592224, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4081050455570221, "train_acc": 0.86, "val_loss": 0.46755290031433105, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.32464374601840973, "train_acc": 0.875, "val_loss": 0.5143692493438721, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.28714150190353394, "train_acc": 0.88, "val_loss": 0.5079196691513062, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.23333238065242767, "train_acc": 0.905, "val_loss": 0.3629032075405121, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.16156776249408722, "train_acc": 0.945, "val_loss": 0.26442641019821167, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.13728846609592438, "train_acc": 0.965, "val_loss": 0.2888410687446594, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.15638841688632965, "train_acc": 0.945, "val_loss": 0.4525235891342163, "val_acc": 0.86}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6851789355278015, "final_val_loss": 0.6407004594802856, "initial_val_acc": 0.56, "final_val_acc": 0.76, "best_val_acc": 0.76}, "improved_stage": {"initial_val_loss": 0.6106705069541931, "final_val_loss": 0.4525235891342163, "initial_val_acc": 0.72, "final_val_acc": 0.86, "best_val_acc": 0.92, "best_epoch": 11}, "improvement": 0.16000000000000003, "first_improvement_epoch": 3}}
|
125
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.92, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4269, "learning_rate": 0.015287911217146254, "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: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[18.019249, 18.159065, 18.676401, 18.750922, 18.946536, 19.945199, 20.178963, 20.213846, 25.495465, 123.822121], [16.791550, 17.061699, 17.346865, 18.009539, 18.600379, 19.484894, 20.348137, 23.940237, 27.420750, 66.567678], [24.543326, 26.414662, 28.277255, 28.559243, 31.124008, 35.688664, 39.061147, 39.917826, 43.927315, 280.918714], [16.343868, 17.025884, 18.179182, 18.676229, 19.295762, 19.462711, 20.392123, 20.798261, 22.084238, 91.061008], [13.428397, 14.072480, 14.857127, 16.975653, 17.257835, 19.558813, 20.772224, 21.168761, 21.869407, 29.737143]]
### 2
fourier: [[10.421840, 10.641216, 10.816532, 11.058473, 11.416662, 12.526981, 13.055065, 13.347929, 16.929484, 19.298076], [11.664587, 11.695521, 12.264756, 13.074796, 13.477102, 15.431830, 16.496635, 19.555432, 20.747650, 68.893368], [13.557396, 15.223996, 16.288211, 17.149046, 17.455230, 17.743820, 19.891248, 21.019085, 21.046381, 56.741142], [13.003337, 13.031768, 14.151672, 14.827223, 17.431166, 20.408875, 20.934855, 21.343755, 22.970194, 134.159119], [11.108802, 11.875578, 12.067846, 12.349264, 12.643835, 12.694353, 13.319050, 13.449286, 14.605611, 115.651019]]
### 4
fourier: [[3.453055, 3.456559, 3.622748, 3.892023, 3.943856, 4.071907, 4.106854, 4.904421, 5.179204, 53.148740], [7.882582, 9.056761, 9.269534, 9.424203, 10.093509, 10.118028, 10.188614, 13.654599, 14.945521, 59.686785], [15.524861, 15.849896, 15.885488, 17.443863, 19.177172, 20.941050, 21.350625, 23.720977, 26.002239, 73.458281], [1.462847, 1.487049, 1.632605, 1.855934, 1.872648, 2.012926, 2.099449, 2.677302, 2.922703, 51.195254], [9.453777, 9.515458, 10.395797, 11.065568, 11.333216, 11.357437, 12.624173, 14.706286, 15.757604, 57.040249]]
### 6
fourier: [[8.752126, 9.488501, 9.774417, 9.815932, 10.266466, 12.197717, 13.896856, 14.650911, 15.395062, 57.782824], [2.327722, 2.340902, 2.387988, 2.759423, 3.216397, 3.280187, 3.354928, 3.712116, 3.880831, 45.830857], [13.533876, 13.799583, 14.071654, 15.445828, 16.352539, 19.780448, 20.066406, 20.160700, 21.523280, 24.337057], [5.874946, 6.334690, 6.515925, 6.546580, 7.171679, 8.402916, 9.176800, 10.100891, 10.178129, 23.475529], [10.506181, 10.586610, 11.044794, 11.959090, 13.588394, 14.614558, 15.830422, 17.455475, 17.662336, 54.687410]]
### 8
fourier: [[15.069273, 15.527006, 15.957321, 16.973168, 18.028969, 22.131709, 22.629761, 24.654899, 26.893750, 79.533893]]
## 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: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.407859,
0.433441,
-0.147158,
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],
[
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0.044758,
0.286112,
-0.71021
],
[
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0.55783,
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0.547902
],
[
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0.300755,
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],
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]
],
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"network.8.weight": [
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[18.019249, 18.159065, 18.676401, 18.750922, 18.946536, 19.945199, 20.178963, 20.213846, 25.495465, 123.822121], [16.791550, 17.061699, 17.346865, 18.009539, 18.600379, 19.484894, 20.348137, 23.940237, 27.420750, 66.567678], [24.543326, 26.414662, 28.277255, 28.559243, 31.124008, 35.688664, 39.061147, 39.917826, 43.927315, 280.918714], [16.343868, 17.025884, 18.179182, 18.676229, 19.295762, 19.462711, 20.392123, 20.798261, 22.084238, 91.061008], [13.428397, 14.072480, 14.857127, 16.975653, 17.257835, 19.558813, 20.772224, 21.168761, 21.869407, 29.737143]]
### 2
fourier: [[10.421840, 10.641216, 10.816532, 11.058473, 11.416662, 12.526981, 13.055065, 13.347929, 16.929484, 19.298076], [11.664587, 11.695521, 12.264756, 13.074796, 13.477102, 15.431830, 16.496635, 19.555432, 20.747650, 68.893368], [13.557396, 15.223996, 16.288211, 17.149046, 17.455230, 17.743820, 19.891248, 21.019085, 21.046381, 56.741142], [13.003337, 13.031768, 14.151672, 14.827223, 17.431166, 20.408875, 20.934855, 21.343755, 22.970194, 134.159119], [11.108802, 11.875578, 12.067846, 12.349264, 12.643835, 12.694353, 13.319050, 13.449286, 14.605611, 115.651019]]
### 4
fourier: [[3.453055, 3.456559, 3.622748, 3.892023, 3.943856, 4.071907, 4.106854, 4.904421, 5.179204, 53.148740], [7.882582, 9.056761, 9.269534, 9.424203, 10.093509, 10.118028, 10.188614, 13.654599, 14.945521, 59.686785], [15.524861, 15.849896, 15.885488, 17.443863, 19.177172, 20.941050, 21.350625, 23.720977, 26.002239, 73.458281], [1.462847, 1.487049, 1.632605, 1.855934, 1.872648, 2.012926, 2.099449, 2.677302, 2.922703, 51.195254], [9.453777, 9.515458, 10.395797, 11.065568, 11.333216, 11.357437, 12.624173, 14.706286, 15.757604, 57.040249]]
### 6
fourier: [[8.752126, 9.488501, 9.774417, 9.815932, 10.266466, 12.197717, 13.896856, 14.650911, 15.395062, 57.782824], [2.327722, 2.340902, 2.387988, 2.759423, 3.216397, 3.280187, 3.354928, 3.712116, 3.880831, 45.830857], [13.533876, 13.799583, 14.071654, 15.445828, 16.352539, 19.780448, 20.066406, 20.160700, 21.523280, 24.337057], [5.874946, 6.334690, 6.515925, 6.546580, 7.171679, 8.402916, 9.176800, 10.100891, 10.178129, 23.475529], [10.506181, 10.586610, 11.044794, 11.959090, 13.588394, 14.614558, 15.830422, 17.455475, 17.662336, 54.687410]]
### 8
fourier: [[15.069273, 15.527006, 15.957321, 16.973168, 18.028969, 22.131709, 22.629761, 24.654899, 26.893750, 79.533893]]
## 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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16.97565324649302, 17.25783457820433, 19.55881308485933, 20.772223579578515, 21.168760737893695, 21.869406998391597, 29.737142741680145]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [10.421839628447659, 10.641215883319546, 10.816532060622754, 11.058473250172813, 11.416662273377813, 12.526980908932334, 13.05506544821685, 13.347928551097928, 16.929483748972416, 19.29807577299789]}, "1": {"fourier": [11.66458742629355, 11.695521352371209, 12.264755586248237, 13.074795793133331, 13.477102254967683, 15.431830472134843, 16.496634539755203, 19.55543200996204, 20.74765017475717, 68.89336786419153]}, "2": {"fourier": [13.557395821313035, 15.223996415383688, 16.288210919141974, 17.149046193315886, 17.455229855520873, 17.74381978120004, 19.891247889134696, 21.0190847373081, 21.046381417285268, 56.74114227294922]}, "3": {"fourier": [13.003336991745552, 13.031767863275826, 14.151672287604422, 14.827223318859167, 17.43116608579002, 20.408874930977678, 20.934854695044653, 21.343754662927186, 22.970194482026702, 134.1591191291809]}, "4": {"fourier": [11.1088021648378, 11.875577991302507, 12.067845583041146, 12.349263830509, 12.643834701598903, 12.694353464090689, 13.319050041918118, 13.449285913315506, 14.605611230788513, 115.65101878345013]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [3.4530547780798933, 3.45655852339035, 3.6227478953783185, 3.89202329286858, 3.9438560144897585, 4.0719071165762575, 4.106854196354585, 4.904420810976972, 5.179203853863732, 53.148739993572235]}, "1": {"fourier": [7.882581898590214, 9.056760788865645, 9.269533617284143, 9.424203391579233, 10.093508774303604, 10.11802790465572, 10.188613921240265, 13.654598946831836, 14.945521101793537, 59.68678507953882]}, "2": {"fourier": [15.524860700743965, 15.849896250655371, 15.885488456472306, 17.443862512856104, 19.177171567889033, 20.94105022463876, 21.350625301917848, 23.720977099389682, 26.002238823045825, 73.458281442523]}, "3": {"fourier": [1.4628466019211803, 1.4870488812155105, 1.6326047162406945, 1.8559342954188516, 1.8726479886932685, 2.0129259412669347, 2.0994489768893847, 2.6773023861529954, 2.92270337683682, 51.19525387883186]}, "4": {"fourier": [9.453776644183895, 9.515457505320787, 10.395796586908492, 11.065567818835726, 11.333215533301289, 11.357436659439827, 12.624173249807898, 14.706286249879883, 15.757603906192756, 57.04024915397167]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [8.752126132063099, 9.488501366711498, 9.774416889523991, 9.815932237185015, 10.26646620850065, 12.197716966021177, 13.896856088662421, 14.650911078401796, 15.395061744202534, 57.78282430768013]}, "1": {"fourier": [2.3277223366514623, 2.340902442616685, 2.3879883066048992, 2.759423460160915, 3.2163969288458967, 3.280186865834975, 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24.654898717526283, 26.89374973686769, 79.53389257192612]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.015102, 0.407859, 0.433441, -0.147158, -0.113946], [0.070949, 0.055812, 0.044758, 0.286112, -0.71021], [0.35109, 0.138388, 0.55783, 0.175904, 0.547902], [-0.041074, 0.25315, 0.166549, 0.300755, -0.548971], [-0.129555, -0.111327, 0.465049, -0.070245, -0.498772]], "network.0.bias": [0.164493, 0.718528, 0.214025, 0.285818, 0.488855], "network.2.weight": [[0.012432, 0.327377, -0.130482, 0.502533, -0.230116], [0.140926, 0.249503, -0.141384, 0.310929, 0.663454], [0.418083, 0.591142, -0.207026, 0.213439, 0.331252], [0.359916, -0.346186, 0.363845, 0.126701, -0.338064], [-0.175404, -0.069469, -0.116892, -0.331615, -0.460116]], "network.2.bias": [-0.159865, 0.098217, -0.244021, 0.251493, -0.026883], "network.4.weight": [[-0.445238, -0.129493, 0.098803, -0.031234, -0.487419], [0.238775, -0.21986, -0.224184, 0.485055, -0.418191], [0.361497, 0.660793, 0.447262, -0.319625, 0.390632], [0.173561, -0.206789, 0.11741, -0.070181, 0.427487], [-0.06357, 0.028586, -0.46387, 0.47664, -0.399511]], "network.4.bias": [-0.427323, 0.195183, 0.350583, -0.409307, 0.262323], "network.6.weight": [[-0.060891, 0.540536, -0.31816, -0.096949, 0.164147], [0.035953, 0.140167, 0.08335, 0.271976, -0.284955], [-0.010926, -0.242668, 0.741301, -0.309303, -0.403658], [-0.075698, 0.252357, -0.24481, -0.535739, 0.163441], [-0.256622, -0.02752, -0.399442, -0.585579, 0.746]], "network.6.bias": [0.498531, -0.453696, -0.122269, 0.146888, 0.425689], "network.8.weight": [[-0.411948, 0.20937, 0.68271, -0.483896, -0.501492]], "network.8.bias": [-0.513725]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6789353489875793, "train_acc": 0.58, "val_loss": 0.724372386932373, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6829813122749329, "train_acc": 0.58, "val_loss": 0.7200537323951721, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6778630912303925, "train_acc": 0.58, "val_loss": 0.7105652689933777, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6734096109867096, "train_acc": 0.58, "val_loss": 0.694749116897583, "val_acc": 0.46}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6674485802650452, "train_acc": 0.58, "val_loss": 0.6686336994171143, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6595946848392487, "train_acc": 0.625, "val_loss": 0.6205098628997803, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6347652971744537, "train_acc": 0.745, "val_loss": 0.5726505517959595, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6143373847007751, "train_acc": 0.725, "val_loss": 0.5284850001335144, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5762094259262085, "train_acc": 0.77, "val_loss": 0.48827624320983887, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5465520918369293, "train_acc": 0.8, "val_loss": 0.4490000009536743, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5263023674488068, "train_acc": 0.82, "val_loss": 0.40088459849357605, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.4869348406791687, "train_acc": 0.82, "val_loss": 0.3486636281013489, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.4500071406364441, "train_acc": 0.83, "val_loss": 0.3015612065792084, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.42795611917972565, "train_acc": 0.83, "val_loss": 0.2704528570175171, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.4154806286096573, "train_acc": 0.825, "val_loss": 0.2556650638580322, "val_acc": 0.92}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.724372386932373, "final_val_loss": 0.6686336994171143, "initial_val_acc": 0.46, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6205098628997803, "final_val_loss": 0.2556650638580322, "initial_val_acc": 0.84, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 13}, "improvement": 0.4, "first_improvement_epoch": 4}}
|
126
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.6, "improved_accuracy": 0.88, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1790, "learning_rate": 0.07414048887618152, "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: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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-0.268097
],
[
0.555712,
-0.197146,
0.177159,
0.587643,
-0.389981,
0.458226
],
[
-0.240428,
-0.024875,
-0.035697,
0.094181,
-0.248753,
0.151387
]
],
"network.8.bias": [
0.376037,
0.0701,
-0.302622,
0.400002,
-1.4e-05,
-0.211647
],
"network.10.weight": [
[
0.658159,
-0.23894,
-0.011083,
0.160954,
-0.300555,
-0.185441
]
],
"network.10.bias": [
-0.073062
]
}
## Activation Signature
### 0
fourier: [[23.351797, 25.685344, 26.475728, 26.503860, 26.581841, 28.183139, 30.929003, 32.810987, 34.975120, 72.899202], [8.654805, 8.751561, 8.873470, 8.943907, 8.988979, 9.905375, 11.009061, 13.024702, 13.577369, 43.087274], [32.895541, 33.785169, 34.659732, 35.461852, 35.809895, 37.773961, 40.957089, 44.256032, 49.969949, 199.472147], [31.569346, 33.507189, 34.238109, 35.666479, 36.965782, 37.132613, 38.151053, 43.639362, 46.106306, 201.315072], [32.980296, 34.282902, 35.513937, 35.555101, 35.948557, 36.241185, 41.330372, 44.452920, 46.576225, 116.487306], [12.765166, 13.164537, 13.199793, 13.404299, 14.368352, 15.236436, 15.269345, 15.818919, 17.642195, 55.310239]]
### 2
fourier: [[44.312793, 50.633807, 50.774285, 51.527869, 54.230101, 58.821225, 59.797049, 62.537423, 63.630172, 299.926484], [8.373931, 8.469503, 8.693860, 8.900304, 8.908970, 9.578333, 11.108784, 11.154061, 12.234036, 75.182123], [32.350355, 33.693305, 34.086919, 34.474985, 38.048174, 44.464611, 45.411291, 45.966591, 48.785448, 274.474730], [31.534083, 33.706428, 35.155994, 36.305085, 38.359294, 40.733524, 41.316595, 43.120909, 45.074881, 197.937205], [25.354913, 26.491602, 27.553022, 28.171905, 31.304326, 31.570222, 31.885969, 32.482634, 35.683677, 151.214397], [13.415007, 13.577777, 14.636047, 14.882421, 16.907863, 18.682046, 19.760883, 20.170743, 23.079654, 116.840746]]
### 4
fourier: [[16.143719, 17.703543, 18.496841, 19.010557, 19.632215, 20.750864, 21.329217, 21.666266, 22.949309, 84.908704], [16.275445, 17.691982, 18.392707, 18.930487, 19.756454, 20.683251, 21.349768, 22.248994, 23.108390, 114.025908], [3.509199, 3.644135, 3.699681, 3.812317, 4.177403, 4.334210, 4.521103, 4.785361, 5.247876, 63.137237], [25.137210, 27.728122, 28.951324, 29.811987, 30.508356, 32.545259, 33.438232, 33.473747, 35.769893, 124.519214], [44.955206, 50.468910, 51.628803, 53.460624, 54.111672, 59.326905, 59.896648, 61.573015, 64.260319, 264.415919], [25.280120, 28.790868, 29.496292, 29.988265, 30.980158, 32.928627, 33.984943, 35.155446, 36.228586, 131.056889]]
### 6
fourier: [[23.839847, 27.656634, 28.016310, 28.568846, 28.685834, 28.795037, 30.672347, 31.277987, 31.846704, 105.815020], [22.495972, 25.047859, 25.984324, 26.954317, 26.957655, 29.651753, 30.027762, 30.463106, 32.228694, 83.322357], [20.199794, 23.699259, 23.809868, 24.167253, 24.295584, 24.696337, 26.020048, 27.109990, 27.298983, 143.115099], [30.774161, 34.967914, 35.874972, 36.854840, 37.169464, 38.354892, 40.215278, 40.601620, 42.203273, 181.468125], [15.815778, 17.371286, 18.081512, 18.652741, 18.876524, 21.241454, 21.542554, 21.794635, 23.164947, 24.657070], [24.478460, 28.036340, 28.571971, 29.204977, 29.432498, 31.354828, 32.143109, 33.214363, 34.227036, 112.893052]]
### 8
fourier: [[18.853700, 19.154270, 19.177654, 19.734239, 20.090924, 20.329359, 22.824540, 25.912823, 26.844042, 28.777601], [27.858469, 30.999438, 32.146840, 33.311977, 33.338954, 36.292994, 36.488384, 37.737725, 39.786948, 136.248634], [11.833656, 12.177659, 13.672710, 14.128230, 14.142599, 14.347169, 14.408944, 14.444200, 14.750964, 87.086836], [4.529130, 4.916357, 5.127422, 5.271392, 5.371364, 5.979821, 6.154418, 6.327777, 6.702820, 18.062628], [43.333220, 49.005854, 50.229929, 51.782394, 52.012668, 54.034501, 56.032420, 57.492146, 59.548311, 210.032869], [1.766952, 1.909354, 2.048652, 2.260336, 2.285965, 2.783615, 2.821760, 3.245509, 3.308929, 17.738628]]
### 10
fourier: [[23.011755, 23.108712, 24.733903, 25.749463, 26.041207, 27.692221, 30.726145, 31.330054, 33.873889, 76.395737]]
## 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: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.935974,
0.080495,
-0.480047,
0.144915,
-0.015096
],
[
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0.235929,
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],
[
1.024103,
0.129425,
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0.764463,
0.241802
],
[
0.884426,
0.403678,
0.315937,
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],
[
-1.091488,
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0.397898
],
[
0.011665,
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0.121492
]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
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0.005029,
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],
[
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0.13666,
0.121993
],
[
0.375278,
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0.293679,
0.50911,
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],
[
0.121895,
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0.504736,
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],
[
-0.016575,
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0.116827,
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]
],
"network.2.bias": [
-0.077309,
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],
"network.4.weight": [
[
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],
[
0.00148,
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0.025816,
-0.065326
],
[
0.15106,
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0.327179,
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],
[
0.208234,
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0.352228,
0.304699,
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],
[
0.660941,
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],
[
-0.569798,
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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],
[
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],
[
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0.185784,
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],
[
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0.295476,
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],
[
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0.133349,
0.038953,
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0.508071
],
[
0.201166,
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]
],
"network.6.bias": [
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0.126876,
0.701338,
-0.37749
],
"network.8.weight": [
[
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],
[
0.548701,
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[
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],
[
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],
[
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],
[
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]
],
"network.8.bias": [
0.376037,
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0.400002,
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],
"network.10.weight": [
[
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0.160954,
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-0.185441
]
],
"network.10.bias": [
-0.073062
]
}
## Activation Signature
### 0
fourier: [[23.351797, 25.685344, 26.475728, 26.503860, 26.581841, 28.183139, 30.929003, 32.810987, 34.975120, 72.899202], [8.654805, 8.751561, 8.873470, 8.943907, 8.988979, 9.905375, 11.009061, 13.024702, 13.577369, 43.087274], [32.895541, 33.785169, 34.659732, 35.461852, 35.809895, 37.773961, 40.957089, 44.256032, 49.969949, 199.472147], [31.569346, 33.507189, 34.238109, 35.666479, 36.965782, 37.132613, 38.151053, 43.639362, 46.106306, 201.315072], [32.980296, 34.282902, 35.513937, 35.555101, 35.948557, 36.241185, 41.330372, 44.452920, 46.576225, 116.487306], [12.765166, 13.164537, 13.199793, 13.404299, 14.368352, 15.236436, 15.269345, 15.818919, 17.642195, 55.310239]]
### 2
fourier: [[44.312793, 50.633807, 50.774285, 51.527869, 54.230101, 58.821225, 59.797049, 62.537423, 63.630172, 299.926484], [8.373931, 8.469503, 8.693860, 8.900304, 8.908970, 9.578333, 11.108784, 11.154061, 12.234036, 75.182123], [32.350355, 33.693305, 34.086919, 34.474985, 38.048174, 44.464611, 45.411291, 45.966591, 48.785448, 274.474730], [31.534083, 33.706428, 35.155994, 36.305085, 38.359294, 40.733524, 41.316595, 43.120909, 45.074881, 197.937205], [25.354913, 26.491602, 27.553022, 28.171905, 31.304326, 31.570222, 31.885969, 32.482634, 35.683677, 151.214397], [13.415007, 13.577777, 14.636047, 14.882421, 16.907863, 18.682046, 19.760883, 20.170743, 23.079654, 116.840746]]
### 4
fourier: [[16.143719, 17.703543, 18.496841, 19.010557, 19.632215, 20.750864, 21.329217, 21.666266, 22.949309, 84.908704], [16.275445, 17.691982, 18.392707, 18.930487, 19.756454, 20.683251, 21.349768, 22.248994, 23.108390, 114.025908], [3.509199, 3.644135, 3.699681, 3.812317, 4.177403, 4.334210, 4.521103, 4.785361, 5.247876, 63.137237], [25.137210, 27.728122, 28.951324, 29.811987, 30.508356, 32.545259, 33.438232, 33.473747, 35.769893, 124.519214], [44.955206, 50.468910, 51.628803, 53.460624, 54.111672, 59.326905, 59.896648, 61.573015, 64.260319, 264.415919], [25.280120, 28.790868, 29.496292, 29.988265, 30.980158, 32.928627, 33.984943, 35.155446, 36.228586, 131.056889]]
### 6
fourier: [[23.839847, 27.656634, 28.016310, 28.568846, 28.685834, 28.795037, 30.672347, 31.277987, 31.846704, 105.815020], [22.495972, 25.047859, 25.984324, 26.954317, 26.957655, 29.651753, 30.027762, 30.463106, 32.228694, 83.322357], [20.199794, 23.699259, 23.809868, 24.167253, 24.295584, 24.696337, 26.020048, 27.109990, 27.298983, 143.115099], [30.774161, 34.967914, 35.874972, 36.854840, 37.169464, 38.354892, 40.215278, 40.601620, 42.203273, 181.468125], [15.815778, 17.371286, 18.081512, 18.652741, 18.876524, 21.241454, 21.542554, 21.794635, 23.164947, 24.657070], [24.478460, 28.036340, 28.571971, 29.204977, 29.432498, 31.354828, 32.143109, 33.214363, 34.227036, 112.893052]]
### 8
fourier: [[18.853700, 19.154270, 19.177654, 19.734239, 20.090924, 20.329359, 22.824540, 25.912823, 26.844042, 28.777601], [27.858469, 30.999438, 32.146840, 33.311977, 33.338954, 36.292994, 36.488384, 37.737725, 39.786948, 136.248634], [11.833656, 12.177659, 13.672710, 14.128230, 14.142599, 14.347169, 14.408944, 14.444200, 14.750964, 87.086836], [4.529130, 4.916357, 5.127422, 5.271392, 5.371364, 5.979821, 6.154418, 6.327777, 6.702820, 18.062628], [43.333220, 49.005854, 50.229929, 51.782394, 52.012668, 54.034501, 56.032420, 57.492146, 59.548311, 210.032869], [1.766952, 1.909354, 2.048652, 2.260336, 2.285965, 2.783615, 2.821760, 3.245509, 3.308929, 17.738628]]
### 10
fourier: [[23.011755, 23.108712, 24.733903, 25.749463, 26.041207, 27.692221, 30.726145, 31.330054, 33.873889, 76.395737]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [23.351796540523043, 25.685343578292013, 26.475727885889885, 26.50386019569062, 26.581841113479886, 28.18313902352669, 30.929003405252278, 32.81098746913052, 34.97512014522745, 72.89920151233673]}, "1": {"fourier": [8.65480493735211, 8.751560909946672, 8.873470160602752, 8.943906867692652, 8.988978638268396, 9.90537497234886, 11.009061146825376, 13.024701722225872, 13.577368853760534, 43.087273582816124]}, "2": {"fourier": [32.89554107394327, 33.785168848129075, 34.65973217862713, 35.46185180618268, 35.80989477416896, 37.7739605064036, 40.95708933045545, 44.256032452516905, 49.96994935143396, 199.47214660048485]}, "3": {"fourier": [31.569345517561636, 33.507188940620324, 34.23810936990861, 35.66647900924023, 36.965782245986915, 37.13261269616556, 38.151052657633876, 43.639362493887916, 46.106305909839605, 201.31507208943367]}, "4": {"fourier": [32.98029630933247, 34.28290176889268, 35.51393712261488, 35.55510076600007, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.935974, 0.080495, -0.480047, 0.144915, -0.015096], [0.141736, 0.082981, -0.202581, 0.235929, -0.039993], [1.024103, 0.129425, -0.478123, 0.764463, 0.241802], [0.884426, 0.403678, 0.315937, -0.03185, -0.315165], [-1.091488, -0.021616, -0.19742, -0.1942, 0.397898], [0.011665, -0.363313, -0.260536, 0.182047, 0.121492]], "network.0.bias": [0.209165, 0.117713, -0.232748, 0.197673, 0.441479, 0.036964], "network.2.weight": [[0.627604, -0.07182, 0.481904, 0.688303, -0.18081, 0.230399], [-0.190308, -0.16192, -0.117736, 0.005029, -0.258429, -0.6088], [-0.282756, -0.431172, -0.529289, -0.388301, 0.13666, 0.121993], [0.375278, 0.269176, 0.293679, 0.50911, -0.227857, -0.348803], [0.121895, -0.000419, 0.248429, 0.504736, -0.385198, -0.118719], [-0.016575, -0.320321, -0.343764, -0.083233, 0.116827, -0.42908]], "network.2.bias": [-0.077309, -0.116956, -0.335419, -0.175373, -0.116189, -0.039412], "network.4.weight": [[-0.084275, -0.430233, 0.101453, -0.303247, -0.120316, -0.186712], [0.00148, 0.0441, -0.296431, -0.541599, 0.025816, -0.065326], [0.15106, -0.232067, 0.327179, -0.060517, -0.342478, -0.314287], [0.208234, -0.248876, 0.352228, 0.304699, 0.26313, -0.244126], [0.660941, 0.265539, -0.153956, 0.337847, 0.211445, -0.215883], [-0.569798, -0.066339, -0.318545, 0.275795, -0.359293, 0.011558]], "network.4.bias": [0.216454, -0.115843, -0.482208, -0.438227, -0.377519, 0.449529], "network.6.weight": [[0.110097, -0.111937, 0.3396, 0.297279, 0.366064, 0.32656], [0.476308, -0.018403, -0.024258, -0.424728, -0.264006, 0.441475], [-0.281434, 0.447836, -0.173468, 0.185784, -0.55482, -0.393505], [-0.148451, 0.428763, 0.093907, 0.700161, 0.295476, -0.153162], [0.248346, 0.133349, 0.038953, -0.126672, -0.279152, 0.508071], [0.201166, -0.193248, -0.188271, -0.013932, 0.553815, -0.128775]], "network.6.bias": [-0.377401, 0.435786, -0.168552, 0.126876, 0.701338, -0.37749], "network.8.weight": [[-0.02408, 0.836938, 0.589824, -0.25439, 0.647294, -0.280672], [0.548701, -0.539249, 0.305238, 0.415537, -0.199423, 0.055772], [-0.139989, -0.295865, -0.10654, 0.126108, -0.019942, -0.518113], [0.043836, 0.267998, 0.27919, 0.036448, -0.037134, -0.268097], [0.555712, -0.197146, 0.177159, 0.587643, -0.389981, 0.458226], [-0.240428, -0.024875, -0.035697, 0.094181, -0.248753, 0.151387]], "network.8.bias": [0.376037, 0.0701, -0.302622, 0.400002, -1.4e-05, -0.211647], "network.10.weight": [[0.658159, -0.23894, -0.011083, 0.160954, -0.300555, -0.185441]], "network.10.bias": [-0.073062]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6796371042728424, "train_acc": 0.575, "val_loss": 0.6802165508270264, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6456644237041473, "train_acc": 0.575, "val_loss": 0.5719798803329468, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5025897771120071, "train_acc": 0.72, "val_loss": 1.3124850988388062, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.7589161843061447, "train_acc": 0.63, "val_loss": 0.6008150577545166, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.599390834569931, "train_acc": 0.72, "val_loss": 0.4787881374359131, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4425899088382721, "train_acc": 0.825, "val_loss": 0.42382141947746277, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.39830394089221954, "train_acc": 0.86, "val_loss": 0.4350014626979828, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.40333521366119385, "train_acc": 0.835, "val_loss": 0.4551541805267334, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3979589641094208, "train_acc": 0.825, "val_loss": 0.4245914816856384, "val_acc": 0.78}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6802165508270264, "final_val_loss": 0.5719798803329468, "initial_val_acc": 0.5, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 1.3124850988388062, "final_val_loss": 0.4245914816856384, "initial_val_acc": 0.5, "final_val_acc": 0.78, "best_val_acc": 0.88, "best_epoch": 5}, "improvement": 0.28, "first_improvement_epoch": 1}}
|
127
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.54, "improved_accuracy": 0.84, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1154, "learning_rate": 0.06728970197739065, "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: 5
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: [[27.935495, 29.674359, 29.761520, 30.296502, 33.055917, 36.215406, 37.900858, 41.680558, 46.149041, 49.027958], [28.021183, 29.091446, 29.691164, 30.205918, 30.350977, 32.739834, 34.033397, 34.201452, 39.512271, 45.476083], [29.019506, 31.058074, 33.211414, 33.320464, 33.623325, 33.977414, 34.533904, 36.242923, 43.372107, 52.780728], [20.695041, 22.116259, 22.304499, 24.067235, 24.210606, 25.410974, 26.669366, 31.193116, 39.617925, 46.990086], [14.505102, 14.955627, 16.303524, 16.401947, 17.552307, 17.586448, 19.270866, 22.182840, 22.436065, 58.340580], [33.257262, 34.909846, 35.435682, 38.945527, 41.601914, 41.625715, 41.814849, 48.044946, 49.514996, 76.786699], [23.884235, 24.201612, 25.107971, 28.047280, 29.260114, 32.412043, 35.678323, 36.133960, 40.267793, 46.407270], [27.523271, 27.707437, 29.210274, 30.838486, 34.736272, 37.169690, 38.407884, 40.547670, 44.328510, 47.552725]]
### 2
fourier: [[32.443694, 33.052151, 34.519787, 36.261295, 43.153385, 44.115181, 45.532904, 50.777929, 51.301358, 55.845973], [25.291062, 26.136543, 29.127540, 31.061420, 31.974398, 32.173426, 32.825937, 33.214544, 42.266735, 107.251215], [14.294677, 15.285232, 15.294856, 15.903359, 15.930144, 16.477425, 18.722273, 19.998333, 21.531498, 212.913851], [13.414600, 17.287456, 18.776377, 19.804606, 20.628916, 20.699854, 22.484919, 23.445597, 25.977252, 30.028866], [37.163850, 38.385474, 41.736190, 42.918184, 48.787246, 50.959897, 52.799414, 54.567776, 58.266686, 72.558018], [29.014180, 30.852609, 31.004515, 33.573693, 34.742042, 35.444800, 35.695597, 41.354272, 53.950902, 111.125490], [21.945177, 22.169610, 23.089140, 24.761558, 25.535282, 26.959961, 27.305397, 28.833989, 36.314850, 73.141538], [16.900699, 17.268163, 17.717768, 18.498260, 20.357052, 21.991288, 23.363669, 26.783714, 28.510250, 199.219557]]
### 4
fourier: [[21.686795, 22.737270, 25.789171, 27.725772, 28.514992, 29.016638, 31.188772, 35.575702, 40.024167, 41.645735], [50.695539, 54.826679, 58.230792, 59.228666, 59.334547, 61.276971, 65.889302, 72.408610, 91.795818, 182.308254], [15.094786, 15.908303, 16.810980, 18.141405, 18.317182, 18.373568, 18.572222, 18.976044, 21.232462, 113.484817], [42.919735, 47.413505, 49.040998, 50.725864, 50.962167, 53.117788, 55.251829, 62.678491, 76.926334, 126.543582], [7.611618, 7.971783, 8.018493, 8.417180, 8.740759, 8.768178, 9.501693, 11.032130, 11.809694, 59.247525], [23.003527, 23.909266, 25.469404, 27.159877, 28.742362, 30.126569, 31.208759, 31.449744, 36.229947, 42.205106], [14.338484, 14.445443, 15.461528, 16.161979, 16.397532, 17.673878, 20.982323, 24.588515, 25.486396, 146.033008], [70.484419, 81.624581, 85.037160, 88.700026, 89.723909, 92.251084, 93.766310, 106.151615, 133.068707, 348.599995]]
### 6
fourier: [[91.787484, 103.434135, 103.909252, 106.028292, 107.806230, 110.384538, 120.239993, 129.213061, 167.590305, 463.017042], [23.118024, 25.385809, 26.802840, 27.334723, 27.677628, 28.275121, 29.841950, 33.840373, 42.017434, 145.365901], [2.394107, 3.145260, 3.296737, 3.625266, 4.090677, 4.193438, 4.210312, 4.536780, 4.885329, 54.247517], [71.592104, 81.960709, 84.545322, 85.813694, 88.884883, 89.972760, 94.634663, 105.726142, 133.796290, 331.439112], [13.636094, 16.138118, 16.182554, 17.352972, 17.448243, 17.597694, 17.619957, 21.145995, 25.398563, 103.778537], [26.894347, 28.440542, 29.176107, 34.665001, 34.754730, 38.302066, 39.000875, 39.871364, 50.719276, 213.150147], [3.207153, 3.267056, 3.339796, 3.556736, 4.152093, 4.294740, 4.802141, 5.215159, 5.761570, 84.784163], [73.748028, 83.802186, 85.755643, 86.317899, 89.573718, 89.646980, 97.229424, 105.716810, 136.517086, 357.918935]]
### 8
fourier: [[2.344944, 2.735658, 2.918468, 3.023590, 3.132188, 3.179318, 3.316866, 3.358968, 4.160807, 59.346269], [123.425665, 139.395048, 142.517925, 142.880954, 149.155510, 150.253312, 161.925187, 177.406544, 228.363470, 632.281663], [37.732713, 41.243339, 43.018519, 43.869196, 43.906624, 44.891297, 48.852772, 53.250440, 68.349074, 220.199513], [9.090640, 9.979783, 10.300680, 10.712190, 12.451456, 12.656099, 14.251148, 14.331079, 15.366677, 18.528640], [22.347215, 25.120661, 25.239412, 25.497951, 26.875232, 26.916130, 29.072761, 31.782132, 40.964594, 125.329697], [152.192938, 172.115486, 175.845914, 176.465352, 184.275255, 185.774829, 199.699667, 219.192395, 281.778807, 759.653096], [134.668672, 151.857747, 154.974876, 156.287485, 163.061322, 164.746704, 176.676834, 193.783790, 249.417479, 646.746628], [135.281524, 153.006627, 156.870965, 158.838733, 164.774863, 166.856403, 177.914236, 196.262903, 251.550829, 669.730140]]
### 10
fourier: [[209.661054, 235.748109, 241.067925, 243.086662, 252.252723, 257.308747, 274.404169, 302.233960, 388.639917, 1062.258471]]
## 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: 5
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: [[27.935495, 29.674359, 29.761520, 30.296502, 33.055917, 36.215406, 37.900858, 41.680558, 46.149041, 49.027958], [28.021183, 29.091446, 29.691164, 30.205918, 30.350977, 32.739834, 34.033397, 34.201452, 39.512271, 45.476083], [29.019506, 31.058074, 33.211414, 33.320464, 33.623325, 33.977414, 34.533904, 36.242923, 43.372107, 52.780728], [20.695041, 22.116259, 22.304499, 24.067235, 24.210606, 25.410974, 26.669366, 31.193116, 39.617925, 46.990086], [14.505102, 14.955627, 16.303524, 16.401947, 17.552307, 17.586448, 19.270866, 22.182840, 22.436065, 58.340580], [33.257262, 34.909846, 35.435682, 38.945527, 41.601914, 41.625715, 41.814849, 48.044946, 49.514996, 76.786699], [23.884235, 24.201612, 25.107971, 28.047280, 29.260114, 32.412043, 35.678323, 36.133960, 40.267793, 46.407270], [27.523271, 27.707437, 29.210274, 30.838486, 34.736272, 37.169690, 38.407884, 40.547670, 44.328510, 47.552725]]
### 2
fourier: [[32.443694, 33.052151, 34.519787, 36.261295, 43.153385, 44.115181, 45.532904, 50.777929, 51.301358, 55.845973], [25.291062, 26.136543, 29.127540, 31.061420, 31.974398, 32.173426, 32.825937, 33.214544, 42.266735, 107.251215], [14.294677, 15.285232, 15.294856, 15.903359, 15.930144, 16.477425, 18.722273, 19.998333, 21.531498, 212.913851], [13.414600, 17.287456, 18.776377, 19.804606, 20.628916, 20.699854, 22.484919, 23.445597, 25.977252, 30.028866], [37.163850, 38.385474, 41.736190, 42.918184, 48.787246, 50.959897, 52.799414, 54.567776, 58.266686, 72.558018], [29.014180, 30.852609, 31.004515, 33.573693, 34.742042, 35.444800, 35.695597, 41.354272, 53.950902, 111.125490], [21.945177, 22.169610, 23.089140, 24.761558, 25.535282, 26.959961, 27.305397, 28.833989, 36.314850, 73.141538], [16.900699, 17.268163, 17.717768, 18.498260, 20.357052, 21.991288, 23.363669, 26.783714, 28.510250, 199.219557]]
### 4
fourier: [[21.686795, 22.737270, 25.789171, 27.725772, 28.514992, 29.016638, 31.188772, 35.575702, 40.024167, 41.645735], [50.695539, 54.826679, 58.230792, 59.228666, 59.334547, 61.276971, 65.889302, 72.408610, 91.795818, 182.308254], [15.094786, 15.908303, 16.810980, 18.141405, 18.317182, 18.373568, 18.572222, 18.976044, 21.232462, 113.484817], [42.919735, 47.413505, 49.040998, 50.725864, 50.962167, 53.117788, 55.251829, 62.678491, 76.926334, 126.543582], [7.611618, 7.971783, 8.018493, 8.417180, 8.740759, 8.768178, 9.501693, 11.032130, 11.809694, 59.247525], [23.003527, 23.909266, 25.469404, 27.159877, 28.742362, 30.126569, 31.208759, 31.449744, 36.229947, 42.205106], [14.338484, 14.445443, 15.461528, 16.161979, 16.397532, 17.673878, 20.982323, 24.588515, 25.486396, 146.033008], [70.484419, 81.624581, 85.037160, 88.700026, 89.723909, 92.251084, 93.766310, 106.151615, 133.068707, 348.599995]]
### 6
fourier: [[91.787484, 103.434135, 103.909252, 106.028292, 107.806230, 110.384538, 120.239993, 129.213061, 167.590305, 463.017042], [23.118024, 25.385809, 26.802840, 27.334723, 27.677628, 28.275121, 29.841950, 33.840373, 42.017434, 145.365901], [2.394107, 3.145260, 3.296737, 3.625266, 4.090677, 4.193438, 4.210312, 4.536780, 4.885329, 54.247517], [71.592104, 81.960709, 84.545322, 85.813694, 88.884883, 89.972760, 94.634663, 105.726142, 133.796290, 331.439112], [13.636094, 16.138118, 16.182554, 17.352972, 17.448243, 17.597694, 17.619957, 21.145995, 25.398563, 103.778537], [26.894347, 28.440542, 29.176107, 34.665001, 34.754730, 38.302066, 39.000875, 39.871364, 50.719276, 213.150147], [3.207153, 3.267056, 3.339796, 3.556736, 4.152093, 4.294740, 4.802141, 5.215159, 5.761570, 84.784163], [73.748028, 83.802186, 85.755643, 86.317899, 89.573718, 89.646980, 97.229424, 105.716810, 136.517086, 357.918935]]
### 8
fourier: [[2.344944, 2.735658, 2.918468, 3.023590, 3.132188, 3.179318, 3.316866, 3.358968, 4.160807, 59.346269], [123.425665, 139.395048, 142.517925, 142.880954, 149.155510, 150.253312, 161.925187, 177.406544, 228.363470, 632.281663], [37.732713, 41.243339, 43.018519, 43.869196, 43.906624, 44.891297, 48.852772, 53.250440, 68.349074, 220.199513], [9.090640, 9.979783, 10.300680, 10.712190, 12.451456, 12.656099, 14.251148, 14.331079, 15.366677, 18.528640], [22.347215, 25.120661, 25.239412, 25.497951, 26.875232, 26.916130, 29.072761, 31.782132, 40.964594, 125.329697], [152.192938, 172.115486, 175.845914, 176.465352, 184.275255, 185.774829, 199.699667, 219.192395, 281.778807, 759.653096], [134.668672, 151.857747, 154.974876, 156.287485, 163.061322, 164.746704, 176.676834, 193.783790, 249.417479, 646.746628], [135.281524, 153.006627, 156.870965, 158.838733, 164.774863, 166.856403, 177.914236, 196.262903, 251.550829, 669.730140]]
### 10
fourier: [[209.661054, 235.748109, 241.067925, 243.086662, 252.252723, 257.308747, 274.404169, 302.233960, 388.639917, 1062.258471]]
## 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": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.957639, -0.142324, 0.023546, 0.466622, 0.448103], [0.899225, 0.047855, 0.109731, -0.355682, -0.618543], [-1.157076, 0.266474, 0.322365, 0.210942, -0.12845], [-0.80906, 0.27147, 0.201173, 0.291275, -0.089045], [-0.547378, 0.265078, 0.00177, -0.238332, 0.372642], [1.187, 0.10849, 0.058537, 0.079277, -0.677513], [0.919155, -0.791733, -0.227309, 0.26225, 0.324209], [-1.087429, 0.357287, 0.343241, 0.085266, 0.560756]], "network.0.bias": [0.393339, -0.107372, 0.357255, 0.099237, -0.402281, -0.278347, 0.258881, -0.360887], "network.2.weight": [[-0.411545, 0.433178, -0.489616, 0.264754, -0.210075, 0.452545, 0.150377, -0.588772], [0.189063, -0.305051, -0.32812, 0.03933, -0.133902, -0.153265, -0.883405, 0.37346], [-0.310191, -0.319513, -0.191848, -0.34024, -0.054124, -0.212323, 0.018205, -0.444129], [0.212429, -0.134169, -0.001123, -0.101153, 0.450856, -0.133913, -0.428741, 0.152646], [-0.35316, 0.266716, -0.488482, -0.237618, 0.008109, 0.257573, 0.899189, -0.55948], [0.021097, 0.042957, -0.161401, -0.486708, -0.249167, 0.364152, 0.764519, -0.126134], [0.130482, 0.103426, 0.1147, 0.401011, -0.034639, -0.124979, -0.53078, 0.417832], [-0.533404, -0.035099, -0.291746, -0.24285, -0.425901, -0.153007, 0.068938, -0.39107]], "network.2.bias": [0.229319, -0.272195, -0.561577, -0.020841, 0.298532, 0.780714, 0.314219, -0.474998], "network.4.weight": [[-0.667104, 0.212543, -0.029246, 0.198745, -0.391324, 0.270428, 0.386022, 0.296893], [0.353628, -0.074678, 0.122199, -0.335537, 0.78049, 0.616704, -0.405663, -1.166885], [-0.493143, 0.295938, 0.242424, 0.26163, -0.311166, 0.147857, -0.312428, 0.207485], [0.543045, -0.109469, -0.060198, -0.546989, 0.413103, 0.64223, -0.156383, -0.260595], [-0.297173, -0.465289, -0.338881, -0.474318, -0.254521, 0.419621, -0.187452, -0.083395], [0.454307, -0.658925, 0.376738, -0.279237, 0.140479, 0.251134, -0.264318, 0.248843], [0.220054, -0.525145, 0.277562, -0.490366, -0.362297, -0.516593, -0.402394, 0.562263], [0.859608, -0.550017, -0.894042, -0.08229, 1.016411, 1.037524, 0.013594, -0.805347]], "network.4.bias": [-0.219277, 0.3512, -0.339816, -0.229838, -0.40754, -0.551252, -0.082789, 0.350277], "network.6.weight": [[-0.685473, 0.736236, -0.949448, 0.170322, -0.49844, -1.115681, -0.742745, 0.92456], [0.305901, 0.103421, 0.12311, 0.470045, -0.079641, -0.060039, 0.130675, -0.603902], [0.252646, 0.228315, 0.167492, 0.041396, 0.3068, 0.152014, 0.143482, -0.23449], [-0.437538, 0.360451, -0.096241, -0.103953, 0.159788, -0.009311, -0.000745, 0.801501], [0.16019, 0.422639, 0.317734, 0.111437, -0.019429, -0.012987, 0.159438, -0.516556], [-0.784922, 0.084964, -0.820841, -0.366132, 0.917852, 0.489402, 0.016469, -0.380323], [-0.40742, -0.29316, 0.085208, -0.408369, -0.02598, 0.575511, -0.139552, 0.215474], [-0.217176, 0.609703, -0.38327, -0.175324, -0.504777, -0.754826, -0.3917, 0.886789]], "network.6.bias": [0.321568, -0.384259, -0.411008, 0.110609, -0.318547, -0.574233, -0.645714, -0.082152], "network.8.weight": [[-0.374397, 0.207033, -0.105649, 0.461402, -0.174114, -0.385546, 0.004942, -0.016255], [0.70031, -0.39014, -0.86451, 0.257906, -0.507919, -0.014229, 0.025625, 0.561449], [0.519816, -0.727613, -0.254927, 0.053362, -0.760901, -0.407787, -0.481136, -0.171842], [-0.485163, 0.272631, 0.148091, 0.487094, 0.088732, -0.044362, 0.201367, 0.252182], [-0.325664, -0.014616, -0.153161, -0.034271, -0.012813, -0.110383, 0.064533, 0.134932], [0.919139, -0.797223, -0.338279, 0.405412, -0.452178, -0.117064, 0.10712, 0.544076], [0.927643, -0.112089, -0.18587, 0.310734, -0.037269, 0.229516, 0.080497, 0.376507], [0.558338, -0.721684, -0.668168, 0.729744, -0.683836, 0.332035, 0.114971, 0.446089]], "network.8.bias": [-0.443022, 0.049958, -0.040536, -0.132129, -0.160976, -0.081992, -0.200704, -0.070178], "network.10.weight": [[-0.114211, -0.313586, -0.17147, 0.267005, -0.104398, -0.467708, -0.205032, -0.495565]], "network.10.bias": [-0.234451]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6773464381694794, "train_acc": 0.58, "val_loss": 0.5979316830635071, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6130938231945038, "train_acc": 0.625, "val_loss": 0.5620884895324707, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5778395533561707, "train_acc": 0.545, "val_loss": 0.7493554949760437, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6249498128890991, "train_acc": 0.635, "val_loss": 0.5783535242080688, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6189485192298889, "train_acc": 0.605, "val_loss": 0.5981470346450806, "val_acc": 0.54}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6088659465312958, "train_acc": 0.49, "val_loss": 0.49846649169921875, "val_acc": 0.54}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6319019198417664, "train_acc": 0.515, "val_loss": 0.45367154479026794, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5391992330551147, "train_acc": 0.77, "val_loss": 0.5188104510307312, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5570897459983826, "train_acc": 0.765, "val_loss": 0.5027799010276794, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.5369414985179901, "train_acc": 0.76, "val_loss": 0.45579102635383606, "val_acc": 0.8}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.5979316830635071, "final_val_loss": 0.5620884895324707, "initial_val_acc": 0.62, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.7493554949760437, "final_val_loss": 0.45579102635383606, "initial_val_acc": 0.56, "final_val_acc": 0.8, "best_val_acc": 0.84, "best_epoch": 6}, "improvement": 0.29999999999999993, "first_improvement_epoch": 1}}
|
128
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.58, "improved_accuracy": 0.82, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3891, "learning_rate": 0.09626587639597808, "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: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[29.008073, 29.417391, 29.683252, 31.625416, 31.858086, 33.618371, 35.224422, 38.013550, 39.739369, 96.177394], [33.454152, 35.745171, 37.317474, 40.429307, 40.562025, 41.754507, 48.770630, 52.263609, 56.985149, 348.622271], [24.647231, 25.486311, 26.334211, 30.771441, 31.991355, 34.109224, 35.395124, 42.116977, 42.532118, 280.624942], [16.736727, 16.948117, 17.174909, 18.457066, 18.557185, 19.191210, 19.521027, 20.525602, 26.285168, 35.956891], [31.519625, 31.589055, 31.694962, 33.326597, 35.197890, 36.328084, 37.602046, 40.890380, 41.601305, 70.373690], [33.256604, 34.571514, 34.657312, 35.360414, 35.596646, 38.214928, 39.838670, 46.183766, 50.884703, 317.250270]]
### 2
fourier: [[28.597883, 31.192694, 32.563947, 33.075428, 33.305192, 33.594152, 43.183891, 43.436052, 49.742774, 403.818936], [21.126646, 21.473061, 22.117964, 24.874550, 26.260596, 26.590741, 26.822780, 30.583751, 32.287972, 69.159624], [14.192597, 14.471997, 15.421704, 15.581006, 15.899346, 16.281422, 16.948359, 18.208368, 23.497725, 193.975119], [33.122499, 34.859267, 35.446870, 37.050858, 38.537967, 38.866934, 46.481878, 50.771237, 56.521567, 426.995439], [45.023292, 45.261775, 50.873354, 54.641482, 54.919150, 63.397349, 67.307664, 69.863886, 77.078943, 541.470053], [33.102112, 34.501260, 35.489554, 35.634475, 37.407604, 40.579246, 45.115943, 45.635068, 53.587380, 378.425150]]
### 4
fourier: [[11.031344, 11.502808, 11.542613, 11.564285, 11.702039, 13.609661, 13.623533, 15.191430, 17.089042, 18.048034], [3.089413, 3.114986, 3.131871, 3.136298, 3.472590, 3.591722, 3.752093, 3.770509, 3.963366, 23.920359], [12.304653, 13.164181, 13.726446, 14.327133, 15.318557, 15.532879, 16.324802, 16.551150, 20.606201, 54.702358], [2.943860, 3.050161, 3.084302, 3.154346, 3.212435, 3.214897, 3.578767, 3.952328, 3.954830, 40.114927], [15.087759, 15.432665, 15.535008, 15.734144, 18.014069, 18.181681, 19.891096, 21.177903, 24.069255, 47.677599], [9.647439, 9.978099, 10.468099, 10.984410, 11.279728, 11.525408, 11.703890, 12.216609, 15.387104, 126.617088]]
### 6
fourier: [[15.193242, 15.541068, 16.208312, 16.211907, 17.843882, 17.852006, 18.625190, 22.248855, 22.539326, 24.820482], [4.731352, 5.034219, 5.166341, 5.372277, 5.446203, 5.597483, 7.180561, 7.670120, 8.238246, 24.485222], [31.413687, 31.689781, 32.775676, 35.341777, 36.098618, 37.299217, 43.324493, 43.814926, 49.704860, 96.332565], [17.374498, 17.469832, 17.958083, 19.503138, 19.883659, 20.561974, 22.206671, 23.783856, 24.068016, 27.474613], [14.268901, 14.610644, 14.880831, 16.107768, 16.542391, 16.922557, 20.137143, 20.168192, 22.717706, 41.247581], [11.164437, 11.563724, 11.619345, 12.712172, 12.887225, 13.278686, 15.880628, 16.017106, 17.792860, 53.223446]]
### 8
fourier: [[31.593754, 32.850600, 33.787614, 34.429501, 34.477134, 38.689334, 45.565228, 45.582780, 49.317602, 52.542348]]
## 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: 4
Neurons per Layer: 6
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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1.086546,
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],
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-0.377876,
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}
## Activation Signature
### 0
fourier: [[29.008073, 29.417391, 29.683252, 31.625416, 31.858086, 33.618371, 35.224422, 38.013550, 39.739369, 96.177394], [33.454152, 35.745171, 37.317474, 40.429307, 40.562025, 41.754507, 48.770630, 52.263609, 56.985149, 348.622271], [24.647231, 25.486311, 26.334211, 30.771441, 31.991355, 34.109224, 35.395124, 42.116977, 42.532118, 280.624942], [16.736727, 16.948117, 17.174909, 18.457066, 18.557185, 19.191210, 19.521027, 20.525602, 26.285168, 35.956891], [31.519625, 31.589055, 31.694962, 33.326597, 35.197890, 36.328084, 37.602046, 40.890380, 41.601305, 70.373690], [33.256604, 34.571514, 34.657312, 35.360414, 35.596646, 38.214928, 39.838670, 46.183766, 50.884703, 317.250270]]
### 2
fourier: [[28.597883, 31.192694, 32.563947, 33.075428, 33.305192, 33.594152, 43.183891, 43.436052, 49.742774, 403.818936], [21.126646, 21.473061, 22.117964, 24.874550, 26.260596, 26.590741, 26.822780, 30.583751, 32.287972, 69.159624], [14.192597, 14.471997, 15.421704, 15.581006, 15.899346, 16.281422, 16.948359, 18.208368, 23.497725, 193.975119], [33.122499, 34.859267, 35.446870, 37.050858, 38.537967, 38.866934, 46.481878, 50.771237, 56.521567, 426.995439], [45.023292, 45.261775, 50.873354, 54.641482, 54.919150, 63.397349, 67.307664, 69.863886, 77.078943, 541.470053], [33.102112, 34.501260, 35.489554, 35.634475, 37.407604, 40.579246, 45.115943, 45.635068, 53.587380, 378.425150]]
### 4
fourier: [[11.031344, 11.502808, 11.542613, 11.564285, 11.702039, 13.609661, 13.623533, 15.191430, 17.089042, 18.048034], [3.089413, 3.114986, 3.131871, 3.136298, 3.472590, 3.591722, 3.752093, 3.770509, 3.963366, 23.920359], [12.304653, 13.164181, 13.726446, 14.327133, 15.318557, 15.532879, 16.324802, 16.551150, 20.606201, 54.702358], [2.943860, 3.050161, 3.084302, 3.154346, 3.212435, 3.214897, 3.578767, 3.952328, 3.954830, 40.114927], [15.087759, 15.432665, 15.535008, 15.734144, 18.014069, 18.181681, 19.891096, 21.177903, 24.069255, 47.677599], [9.647439, 9.978099, 10.468099, 10.984410, 11.279728, 11.525408, 11.703890, 12.216609, 15.387104, 126.617088]]
### 6
fourier: [[15.193242, 15.541068, 16.208312, 16.211907, 17.843882, 17.852006, 18.625190, 22.248855, 22.539326, 24.820482], [4.731352, 5.034219, 5.166341, 5.372277, 5.446203, 5.597483, 7.180561, 7.670120, 8.238246, 24.485222], [31.413687, 31.689781, 32.775676, 35.341777, 36.098618, 37.299217, 43.324493, 43.814926, 49.704860, 96.332565], [17.374498, 17.469832, 17.958083, 19.503138, 19.883659, 20.561974, 22.206671, 23.783856, 24.068016, 27.474613], [14.268901, 14.610644, 14.880831, 16.107768, 16.542391, 16.922557, 20.137143, 20.168192, 22.717706, 41.247581], [11.164437, 11.563724, 11.619345, 12.712172, 12.887225, 13.278686, 15.880628, 16.017106, 17.792860, 53.223446]]
### 8
fourier: [[31.593754, 32.850600, 33.787614, 34.429501, 34.477134, 38.689334, 45.565228, 45.582780, 49.317602, 52.542348]]
## 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": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.025086, 0.303375, 0.091528, -1.174298, 0.266324], [-0.984519, -0.047372, -0.424909, -0.482778, -0.220545], [0.330549, 0.473448, -0.093308, 0.530588, 0.543816], [0.362292, -0.286057, -0.358688, 0.538511, -0.283302], [0.332452, -0.587163, 0.506798, -0.640119, 0.203245], [0.442302, 0.556892, 0.603317, 0.194199, 0.332124]], "network.0.bias": [0.408323, -0.367195, 0.230365, 0.413789, -0.062322, -0.126531], "network.2.weight": [[0.044584, -0.146404, -0.641027, -0.416695, -0.366517, -0.399366], [-0.868859, 0.057373, 0.143084, -0.723735, -0.78941, 0.460572], [-0.135868, -0.970935, -0.685319, -0.186353, -0.058589, 0.262758], [0.141528, -0.352138, -0.607879, -0.512887, -0.233801, -0.557079], [-0.368447, -0.619989, -0.954082, 0.377001, -0.670904, -0.708934], [-0.124521, -0.305201, -0.265363, -0.113707, -0.287062, -0.808734]], "network.2.bias": [-0.703187, -0.170423, -0.797529, -0.541872, -0.446352, -0.319979], "network.4.weight": [[0.848977, 0.561456, 0.260363, 0.516231, 0.502268, 0.611155], [-0.631166, 0.163343, -0.581492, -0.592099, -0.604237, -0.686065], [-0.527038, 0.699557, -0.325834, -0.258101, -0.319973, -0.189525], [-1.067135, 0.130784, -1.066662, -0.571118, -1.080504, -0.57986], [0.732482, 0.779203, -0.006256, -0.136789, 0.103586, 0.583573], [1.086546, -0.535164, 0.226653, 0.476714, 0.675599, -0.077192]], "network.4.bias": [-0.377876, 0.007307, -0.137471, 0.17324, -0.211757, -0.810643], "network.6.weight": [[-0.74329, -0.350735, -0.729897, 0.416607, 0.029218, -0.528766], [-0.148141, 0.443465, -0.348531, 0.346825, -0.046135, 0.24155], [0.43479, 0.471074, 0.592969, 0.155185, 1.363527, 0.492232], [0.108564, 0.486155, 0.732399, -0.108699, 0.467961, 0.107567], [0.410579, -0.108593, 0.408512, 0.0785, 0.387741, 0.639178], [0.313278, -0.154547, 0.483487, 0.003205, 0.204627, -0.012637]], "network.6.bias": [0.324306, -0.156568, -0.298149, -0.540293, -0.061216, 0.118709], "network.8.weight": [[0.353878, -0.147398, -0.7589, -0.494805, -0.111171, 0.06512]], "network.8.bias": [0.541295]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.714871346950531, "train_acc": 0.435, "val_loss": 0.6796265244483948, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6817699074745178, "train_acc": 0.565, "val_loss": 0.6676281690597534, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6804059743881226, "train_acc": 0.565, "val_loss": 0.614915132522583, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6961854994297028, "train_acc": 0.48, "val_loss": 0.7107601761817932, "val_acc": 0.42}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6890983581542969, "train_acc": 0.52, "val_loss": 0.6827966570854187, "val_acc": 0.5}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6275689899921417, "train_acc": 0.6, "val_loss": 0.47216689586639404, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5356882214546204, "train_acc": 0.735, "val_loss": 0.4488888680934906, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4929223507642746, "train_acc": 0.785, "val_loss": 0.544321596622467, "val_acc": 0.72}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.5026443004608154, "train_acc": 0.765, "val_loss": 0.3911282420158386, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4831158220767975, "train_acc": 0.815, "val_loss": 0.38568297028541565, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4320886582136154, "train_acc": 0.83, "val_loss": 0.5135235786437988, "val_acc": 0.74}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.45956964790821075, "train_acc": 0.795, "val_loss": 0.4322456419467926, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.38760125637054443, "train_acc": 0.85, "val_loss": 0.3934887647628784, "val_acc": 0.82}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.6796265244483948, "final_val_loss": 0.614915132522583, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.7107601761817932, "final_val_loss": 0.3934887647628784, "initial_val_acc": 0.42, "final_val_acc": 0.82, "best_val_acc": 0.82, "best_epoch": 8}, "improvement": 0.24, "first_improvement_epoch": 2}}
|
129
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5515, "learning_rate": 0.08505465711262718, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.75752
],
[
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0.637371
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[
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-0.660165
],
[
1.555179,
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[
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}
## Activation Signature
### 0
fourier: [[33.220332, 33.873957, 35.324868, 41.076422, 41.255782, 44.307371, 47.745478, 48.825567, 49.221952, 147.550377], [37.291551, 37.540982, 38.893829, 40.565754, 43.442969, 44.930024, 48.960301, 54.535235, 56.373893, 151.111909], [26.681108, 28.549404, 28.590984, 29.224211, 34.171963, 35.479552, 36.838943, 37.049518, 37.073405, 372.728356], [56.163756, 56.424662, 58.096564, 58.901143, 63.090119, 68.170848, 71.287047, 78.028433, 78.274912, 364.789228], [25.249678, 28.133219, 28.434978, 28.620146, 28.836803, 31.197858, 38.494009, 41.990283, 51.993278, 75.774303]]
### 2
fourier: [[45.685874, 46.838916, 48.717251, 48.839136, 50.251224, 51.345958, 62.687507, 66.739016, 68.225736, 192.835178], [51.241915, 53.065838, 54.423950, 56.536310, 57.820024, 60.269143, 71.042594, 72.451037, 75.427704, 288.494939], [20.944909, 21.166429, 21.186981, 21.964108, 22.360375, 22.923119, 27.426808, 29.930198, 30.106189, 57.785093], [20.526562, 21.139428, 21.967607, 22.311509, 22.375717, 23.695521, 25.518795, 26.330669, 28.664289, 68.925673], [55.732403, 57.251160, 58.122346, 59.749239, 59.956205, 62.202406, 71.623717, 75.936052, 77.346423, 370.575315]]
### 4
fourier: [[56.114907, 56.850947, 59.138376, 60.754893, 61.036268, 65.182832, 67.346332, 75.101949, 79.873337, 317.635087], [90.088619, 92.555205, 93.732442, 95.398320, 99.171447, 100.664576, 118.982977, 126.597565, 130.424082, 532.643280], [41.625755, 43.118309, 43.554548, 44.733774, 44.785861, 46.563069, 52.965279, 57.536152, 58.252420, 254.003780], [102.309928, 102.887583, 107.046523, 108.432148, 110.779788, 112.101396, 130.451498, 141.720534, 143.241347, 624.275889], [91.075318, 91.507213, 92.378910, 93.308415, 99.095277, 100.661030, 103.013971, 113.068394, 124.097614, 604.129267]]
### 6
fourier: [[126.918357, 128.096500, 128.904356, 135.070244, 141.171827, 143.079393, 144.990088, 164.747741, 176.926536, 853.088176], [199.330705, 200.267445, 200.827851, 209.689012, 221.174120, 224.410986, 226.219084, 256.604660, 275.522596, 1327.893142], [201.208331, 201.387538, 204.701246, 208.620986, 223.437490, 223.914701, 224.701753, 253.021294, 275.584266, 1326.298001], [143.300089, 143.933885, 145.942556, 153.231356, 159.313509, 162.018508, 165.006813, 187.570567, 200.413852, 965.530928], [142.546928, 143.133070, 144.491043, 149.445290, 157.724004, 159.874898, 160.620821, 181.742898, 196.443084, 948.617306]]
### 8
fourier: [[532.805589, 533.820304, 541.956824, 560.114755, 591.070709, 596.182261, 601.735764, 679.658123, 736.705129, 3496.473773], [713.587017, 714.740709, 725.676461, 749.407627, 792.046703, 798.104334, 805.114849, 909.397288, 986.062270, 4756.539062], [518.602788, 519.787311, 527.557312, 545.715510, 575.722246, 580.598327, 585.960642, 662.088064, 717.741612, 3442.661070], [648.498500, 648.945725, 659.693983, 678.954484, 719.700171, 723.794131, 729.751068, 823.693684, 893.973485, 4276.490141], [526.569738, 526.851051, 535.333244, 551.090987, 584.553914, 587.822901, 592.428122, 668.809796, 725.745730, 3422.792787]]
### 10
fourier: [[625.999536, 631.813057, 636.688023, 665.469901, 697.909295, 707.171375, 713.484148, 807.134242, 874.853276, 4144.138821], [125.935234, 128.319694, 130.295430, 130.622501, 139.500188, 140.780483, 140.898501, 158.388618, 171.951889, 901.191250], [485.232481, 486.274516, 493.963116, 511.361239, 538.857771, 543.294805, 548.805103, 620.090537, 672.438701, 3201.028833], [1085.842230, 1092.283913, 1104.777062, 1149.375911, 1208.263446, 1221.450067, 1233.013382, 1394.008711, 1511.244908, 7228.077176], [1062.644320, 1065.533181, 1084.964556, 1114.304462, 1179.971815, 1185.100094, 1197.738729, 1351.632708, 1466.216864, 7102.458659]]
### 12
fourier: [[978.367403, 980.122017, 999.128059, 1029.734139, 1086.301187, 1092.336709, 1104.799477, 1248.195342, 1353.610691, 6465.374211]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[33.220332, 33.873957, 35.324868, 41.076422, 41.255782, 44.307371, 47.745478, 48.825567, 49.221952, 147.550377], [37.291551, 37.540982, 38.893829, 40.565754, 43.442969, 44.930024, 48.960301, 54.535235, 56.373893, 151.111909], [26.681108, 28.549404, 28.590984, 29.224211, 34.171963, 35.479552, 36.838943, 37.049518, 37.073405, 372.728356], [56.163756, 56.424662, 58.096564, 58.901143, 63.090119, 68.170848, 71.287047, 78.028433, 78.274912, 364.789228], [25.249678, 28.133219, 28.434978, 28.620146, 28.836803, 31.197858, 38.494009, 41.990283, 51.993278, 75.774303]]
### 2
fourier: [[45.685874, 46.838916, 48.717251, 48.839136, 50.251224, 51.345958, 62.687507, 66.739016, 68.225736, 192.835178], [51.241915, 53.065838, 54.423950, 56.536310, 57.820024, 60.269143, 71.042594, 72.451037, 75.427704, 288.494939], [20.944909, 21.166429, 21.186981, 21.964108, 22.360375, 22.923119, 27.426808, 29.930198, 30.106189, 57.785093], [20.526562, 21.139428, 21.967607, 22.311509, 22.375717, 23.695521, 25.518795, 26.330669, 28.664289, 68.925673], [55.732403, 57.251160, 58.122346, 59.749239, 59.956205, 62.202406, 71.623717, 75.936052, 77.346423, 370.575315]]
### 4
fourier: [[56.114907, 56.850947, 59.138376, 60.754893, 61.036268, 65.182832, 67.346332, 75.101949, 79.873337, 317.635087], [90.088619, 92.555205, 93.732442, 95.398320, 99.171447, 100.664576, 118.982977, 126.597565, 130.424082, 532.643280], [41.625755, 43.118309, 43.554548, 44.733774, 44.785861, 46.563069, 52.965279, 57.536152, 58.252420, 254.003780], [102.309928, 102.887583, 107.046523, 108.432148, 110.779788, 112.101396, 130.451498, 141.720534, 143.241347, 624.275889], [91.075318, 91.507213, 92.378910, 93.308415, 99.095277, 100.661030, 103.013971, 113.068394, 124.097614, 604.129267]]
### 6
fourier: [[126.918357, 128.096500, 128.904356, 135.070244, 141.171827, 143.079393, 144.990088, 164.747741, 176.926536, 853.088176], [199.330705, 200.267445, 200.827851, 209.689012, 221.174120, 224.410986, 226.219084, 256.604660, 275.522596, 1327.893142], [201.208331, 201.387538, 204.701246, 208.620986, 223.437490, 223.914701, 224.701753, 253.021294, 275.584266, 1326.298001], [143.300089, 143.933885, 145.942556, 153.231356, 159.313509, 162.018508, 165.006813, 187.570567, 200.413852, 965.530928], [142.546928, 143.133070, 144.491043, 149.445290, 157.724004, 159.874898, 160.620821, 181.742898, 196.443084, 948.617306]]
### 8
fourier: [[532.805589, 533.820304, 541.956824, 560.114755, 591.070709, 596.182261, 601.735764, 679.658123, 736.705129, 3496.473773], [713.587017, 714.740709, 725.676461, 749.407627, 792.046703, 798.104334, 805.114849, 909.397288, 986.062270, 4756.539062], [518.602788, 519.787311, 527.557312, 545.715510, 575.722246, 580.598327, 585.960642, 662.088064, 717.741612, 3442.661070], [648.498500, 648.945725, 659.693983, 678.954484, 719.700171, 723.794131, 729.751068, 823.693684, 893.973485, 4276.490141], [526.569738, 526.851051, 535.333244, 551.090987, 584.553914, 587.822901, 592.428122, 668.809796, 725.745730, 3422.792787]]
### 10
fourier: [[625.999536, 631.813057, 636.688023, 665.469901, 697.909295, 707.171375, 713.484148, 807.134242, 874.853276, 4144.138821], [125.935234, 128.319694, 130.295430, 130.622501, 139.500188, 140.780483, 140.898501, 158.388618, 171.951889, 901.191250], [485.232481, 486.274516, 493.963116, 511.361239, 538.857771, 543.294805, 548.805103, 620.090537, 672.438701, 3201.028833], [1085.842230, 1092.283913, 1104.777062, 1149.375911, 1208.263446, 1221.450067, 1233.013382, 1394.008711, 1511.244908, 7228.077176], [1062.644320, 1065.533181, 1084.964556, 1114.304462, 1179.971815, 1185.100094, 1197.738729, 1351.632708, 1466.216864, 7102.458659]]
### 12
fourier: [[978.367403, 980.122017, 999.128059, 1029.734139, 1086.301187, 1092.336709, 1104.799477, 1248.195342, 1353.610691, 6465.374211]]
## 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": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.65981, -0.658375, -0.521511, 0.06336, 0.75752], [-1.078336, -0.476939, -0.362763, -0.024375, 0.637371], [0.239084, -0.314831, -0.47288, -0.446616, -0.660165], [1.555179, 0.711787, 0.360791, 0.553842, -0.587827], [0.531855, 0.791512, -0.777938, -0.415785, -0.105363]], "network.0.bias": [0.400586, 0.555947, -1.10552, -0.395504, -0.299509], "network.2.weight": [[0.744984, 0.461685, -0.338456, -0.745746, 0.113428], [-0.452704, -0.758644, -0.107653, 0.712422, 0.792124], [-0.306942, -0.275549, 0.262699, 0.345383, -0.203025], [0.108858, 0.614352, -0.464418, -0.383491, 0.904009], [-0.356979, -0.508336, -0.269187, 0.812304, 0.669838]], "network.2.bias": [0.511957, 0.262454, -0.510771, 0.186386, 0.716496], "network.4.weight": [[0.63121, -0.624029, 0.232629, -0.588989, -0.49705], [-0.484511, 0.393882, -0.066917, -1.109541, 1.220112], [-0.11213, 0.741319, 0.345341, -0.477967, -0.041795], [-0.799529, 0.790854, 0.398603, -0.412274, 0.931287], [-0.441153, 1.093659, -0.223154, 0.66039, 0.667136]], "network.4.bias": [0.357123, -0.112817, 0.267749, 0.354813, 0.376642], "network.6.weight": [[-0.583035, -0.404574, -0.277287, 1.102214, 0.701003], [-0.639701, -0.033826, 0.358121, 1.234311, 0.693945], [0.03578, -0.431384, 0.232879, 1.229112, 1.162705], [-0.829823, -0.297728, -0.231638, 1.198058, 0.651411], [-0.195204, -0.40352, -0.094775, 1.25515, 0.615735]], "network.6.bias": [0.230412, 0.395939, 0.050735, 0.34439, 0.139525], "network.8.weight": [[-0.687981, -0.557163, -0.445817, -0.615905, -1.096984], [1.095381, 0.998356, 0.894413, 0.601766, 0.766274], [1.025891, 0.707448, 0.496557, 0.598584, 0.432838], [-0.811752, -0.532704, -1.22522, -0.232138, -1.11616], [-0.668, -0.760915, -1.051149, -0.079914, -0.469255]], "network.8.bias": [0.720076, -0.091378, -0.317475, 0.403462, 0.871658], "network.10.weight": [[-0.660458, 0.697944, 0.2505, -0.368884, -0.944965], [-0.457291, -0.313962, 0.186533, 0.606976, -0.66568], [-0.627545, 0.454129, 0.311261, 0.291045, -0.029292], [-0.993433, 0.962738, 0.772864, -0.386439, -0.973369], [-0.465916, -1.133085, -0.492612, 0.401165, -0.36156]], "network.10.bias": [-0.190804, -0.425307, -0.30363, 0.107924, -0.014838], "network.12.weight": [[-0.307787, -0.6137, 0.079973, -0.758491, -0.915642]], "network.12.bias": [0.70124]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6904997527599335, "train_acc": 0.49, "val_loss": 0.708558976650238, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6538533866405487, "train_acc": 0.58, "val_loss": 0.5981875061988831, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6133871376514435, "train_acc": 0.505, "val_loss": 0.5434337854385376, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5417065769433975, "train_acc": 0.755, "val_loss": 0.407451331615448, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.49591895937919617, "train_acc": 0.755, "val_loss": 0.32711341977119446, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4420982450246811, "train_acc": 0.785, "val_loss": 0.30094149708747864, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.46496644616127014, "train_acc": 0.79, "val_loss": 0.28518733382225037, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.44232064485549927, "train_acc": 0.79, "val_loss": 0.2879713475704193, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.4534713327884674, "train_acc": 0.8, "val_loss": 0.300758421421051, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.41215603053569794, "train_acc": 0.805, "val_loss": 0.27861645817756653, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3893313705921173, "train_acc": 0.825, "val_loss": 0.24926374852657318, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.6179264038801193, "train_acc": 0.86, "val_loss": 0.2380400449037552, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.708558976650238, "final_val_loss": 0.5981875061988831, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5434337854385376, "final_val_loss": 0.2380400449037552, "initial_val_acc": 0.86, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 10}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
130
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.52, "improved_accuracy": 0.9, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8523, "learning_rate": 0.039086492670896485, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[12.810315, 12.995650, 14.505926, 15.512303, 16.423092, 17.584912, 19.311628, 19.611206, 24.403777, 31.124740], [24.398301, 26.450644, 27.411297, 27.679071, 28.806832, 30.169866, 32.780244, 33.128144, 34.752638, 92.146372], [26.711937, 26.827551, 29.773022, 30.036108, 30.510570, 34.999668, 36.226684, 38.735936, 41.468371, 345.716814], [16.752431, 18.480305, 19.724961, 19.819142, 19.936210, 20.528622, 21.042647, 21.110048, 22.789878, 82.314443], [19.353275, 19.560788, 20.192008, 21.021293, 23.041185, 24.133519, 24.598150, 27.277153, 29.746541, 91.700969], [14.573949, 14.707095, 15.121566, 16.448430, 16.745236, 17.132267, 17.498639, 22.762700, 22.915462, 180.760462], [35.078694, 36.595759, 38.486193, 41.554841, 41.847963, 41.922555, 43.479049, 48.440879, 50.517154, 151.023890]]
### 2
fourier: [[19.798348, 20.439940, 20.523122, 23.332080, 24.365311, 26.332273, 26.402591, 26.897485, 27.867318, 31.744321], [16.471909, 16.706046, 17.088816, 18.283812, 20.212882, 23.744843, 26.767945, 26.831041, 29.278988, 120.520806], [38.369074, 38.628883, 39.535593, 40.272319, 40.482661, 41.441176, 41.961084, 42.208159, 43.040888, 58.170307], [4.428164, 4.544803, 4.755505, 4.995144, 5.371850, 6.361304, 6.461933, 6.733630, 7.644066, 64.540087], [20.029544, 20.393798, 20.957856, 21.101411, 21.421018, 22.278279, 22.340704, 22.683505, 23.242738, 30.027156], [14.307818, 17.097091, 18.654909, 18.717576, 18.860691, 19.721526, 20.263538, 21.388688, 24.053462, 61.904445], [28.756696, 28.903544, 31.386966, 31.543864, 32.373930, 33.091420, 33.289048, 36.783522, 42.277328, 45.208222]]
### 4
fourier: [[6.067408, 6.213500, 6.295532, 6.903531, 7.710319, 7.906669, 8.139189, 9.439916, 9.599783, 64.721708], [18.243172, 18.425662, 18.939963, 20.384045, 21.710296, 23.554143, 29.246204, 32.068639, 32.745398, 132.310359], [14.465239, 15.673189, 16.350478, 16.378832, 20.544877, 20.790431, 20.795671, 20.903956, 21.112648, 97.696228], [8.515204, 8.600082, 9.251947, 9.330156, 9.575505, 10.803669, 11.113075, 13.241191, 14.689821, 14.825709], [7.778652, 7.831847, 9.285546, 9.588625, 11.187375, 11.234756, 11.685154, 12.286051, 12.793263, 18.565714], [38.830901, 40.333141, 43.577325, 49.129113, 52.461161, 53.245509, 56.807472, 61.704458, 62.863079, 219.926828], [23.954216, 25.082814, 25.817193, 26.585013, 30.837064, 32.619501, 40.502030, 43.753624, 46.400340, 163.704061]]
### 6
fourier: [[4.720614, 4.818404, 4.888563, 5.882495, 5.891651, 5.961688, 7.059868, 7.754506, 8.808689, 50.257698], [15.681189, 15.769019, 16.493036, 18.759032, 19.307854, 19.990663, 24.096429, 26.624735, 29.287355, 83.421266], [43.666924, 44.240937, 45.130062, 46.734213, 56.480212, 57.932278, 61.217283, 70.457372, 75.508749, 262.852735], [46.294805, 48.179271, 49.141434, 49.163424, 59.436211, 62.065950, 63.798410, 73.850044, 79.743069, 267.792763], [48.113934, 49.277751, 50.158529, 52.496714, 62.266013, 64.174098, 67.868420, 77.516636, 84.198357, 279.617892], [1.956347, 2.072323, 2.345877, 2.444753, 2.468304, 2.470630, 2.771602, 4.301407, 4.361115, 53.916427], [13.032586, 13.097830, 14.300857, 16.337280, 17.630667, 17.684371, 19.366211, 20.332365, 20.891412, 90.260349]]
### 8
fourier: [[87.345903, 89.662433, 90.943752, 97.176419, 114.162506, 120.488692, 126.625063, 141.924064, 156.253854, 503.574272], [74.975971, 78.398981, 79.150634, 81.583632, 98.583503, 104.341554, 107.488436, 121.240920, 132.693563, 426.798649], [28.034034, 29.608223, 30.037597, 30.184366, 37.351176, 39.312509, 40.060453, 45.571673, 49.371130, 178.771135], [19.964581, 20.741594, 21.146657, 22.065223, 26.921279, 28.257636, 28.381190, 32.329558, 34.691585, 156.378474], [30.597380, 31.826685, 32.088770, 33.548246, 40.521278, 42.495766, 44.299222, 49.926918, 54.465731, 214.855714], [22.383003, 23.678827, 23.697859, 24.515850, 29.881743, 31.542348, 31.744944, 36.264765, 39.173446, 174.626688], [9.500384, 9.837688, 9.866823, 10.638562, 12.168936, 12.970207, 13.590587, 15.254267, 16.949908, 20.287765]]
### 10
fourier: [[10.151027, 10.247194, 10.631308, 10.799760, 13.386928, 14.039834, 14.307178, 15.922956, 16.907335, 85.997202], [23.211528, 23.343819, 23.433280, 25.054264, 30.171311, 32.095147, 33.332905, 37.034256, 40.707448, 91.702545], [102.256726, 104.083478, 105.305442, 109.074319, 133.534346, 142.419127, 146.094266, 162.805363, 179.008828, 587.039068], [4.172513, 4.216261, 4.389181, 4.859936, 5.547330, 5.617199, 6.063468, 6.453001, 6.678372, 56.129809], [72.780604, 74.082172, 74.883739, 77.704671, 95.022293, 101.336793, 104.029131, 115.900633, 127.477131, 376.367679], [111.843918, 113.639325, 115.492248, 118.682779, 146.174372, 155.921656, 159.356460, 177.833091, 194.991890, 636.035157], [52.672532, 53.450376, 54.263693, 55.928106, 68.811872, 73.379745, 75.062430, 83.753773, 91.790735, 298.612287]]
### 12
fourier: [[95.946582, 98.542151, 98.917837, 104.580963, 125.574264, 134.117462, 139.570158, 155.071295, 170.912095, 474.465893]]
## 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[12.810315, 12.995650, 14.505926, 15.512303, 16.423092, 17.584912, 19.311628, 19.611206, 24.403777, 31.124740], [24.398301, 26.450644, 27.411297, 27.679071, 28.806832, 30.169866, 32.780244, 33.128144, 34.752638, 92.146372], [26.711937, 26.827551, 29.773022, 30.036108, 30.510570, 34.999668, 36.226684, 38.735936, 41.468371, 345.716814], [16.752431, 18.480305, 19.724961, 19.819142, 19.936210, 20.528622, 21.042647, 21.110048, 22.789878, 82.314443], [19.353275, 19.560788, 20.192008, 21.021293, 23.041185, 24.133519, 24.598150, 27.277153, 29.746541, 91.700969], [14.573949, 14.707095, 15.121566, 16.448430, 16.745236, 17.132267, 17.498639, 22.762700, 22.915462, 180.760462], [35.078694, 36.595759, 38.486193, 41.554841, 41.847963, 41.922555, 43.479049, 48.440879, 50.517154, 151.023890]]
### 2
fourier: [[19.798348, 20.439940, 20.523122, 23.332080, 24.365311, 26.332273, 26.402591, 26.897485, 27.867318, 31.744321], [16.471909, 16.706046, 17.088816, 18.283812, 20.212882, 23.744843, 26.767945, 26.831041, 29.278988, 120.520806], [38.369074, 38.628883, 39.535593, 40.272319, 40.482661, 41.441176, 41.961084, 42.208159, 43.040888, 58.170307], [4.428164, 4.544803, 4.755505, 4.995144, 5.371850, 6.361304, 6.461933, 6.733630, 7.644066, 64.540087], [20.029544, 20.393798, 20.957856, 21.101411, 21.421018, 22.278279, 22.340704, 22.683505, 23.242738, 30.027156], [14.307818, 17.097091, 18.654909, 18.717576, 18.860691, 19.721526, 20.263538, 21.388688, 24.053462, 61.904445], [28.756696, 28.903544, 31.386966, 31.543864, 32.373930, 33.091420, 33.289048, 36.783522, 42.277328, 45.208222]]
### 4
fourier: [[6.067408, 6.213500, 6.295532, 6.903531, 7.710319, 7.906669, 8.139189, 9.439916, 9.599783, 64.721708], [18.243172, 18.425662, 18.939963, 20.384045, 21.710296, 23.554143, 29.246204, 32.068639, 32.745398, 132.310359], [14.465239, 15.673189, 16.350478, 16.378832, 20.544877, 20.790431, 20.795671, 20.903956, 21.112648, 97.696228], [8.515204, 8.600082, 9.251947, 9.330156, 9.575505, 10.803669, 11.113075, 13.241191, 14.689821, 14.825709], [7.778652, 7.831847, 9.285546, 9.588625, 11.187375, 11.234756, 11.685154, 12.286051, 12.793263, 18.565714], [38.830901, 40.333141, 43.577325, 49.129113, 52.461161, 53.245509, 56.807472, 61.704458, 62.863079, 219.926828], [23.954216, 25.082814, 25.817193, 26.585013, 30.837064, 32.619501, 40.502030, 43.753624, 46.400340, 163.704061]]
### 6
fourier: [[4.720614, 4.818404, 4.888563, 5.882495, 5.891651, 5.961688, 7.059868, 7.754506, 8.808689, 50.257698], [15.681189, 15.769019, 16.493036, 18.759032, 19.307854, 19.990663, 24.096429, 26.624735, 29.287355, 83.421266], [43.666924, 44.240937, 45.130062, 46.734213, 56.480212, 57.932278, 61.217283, 70.457372, 75.508749, 262.852735], [46.294805, 48.179271, 49.141434, 49.163424, 59.436211, 62.065950, 63.798410, 73.850044, 79.743069, 267.792763], [48.113934, 49.277751, 50.158529, 52.496714, 62.266013, 64.174098, 67.868420, 77.516636, 84.198357, 279.617892], [1.956347, 2.072323, 2.345877, 2.444753, 2.468304, 2.470630, 2.771602, 4.301407, 4.361115, 53.916427], [13.032586, 13.097830, 14.300857, 16.337280, 17.630667, 17.684371, 19.366211, 20.332365, 20.891412, 90.260349]]
### 8
fourier: [[87.345903, 89.662433, 90.943752, 97.176419, 114.162506, 120.488692, 126.625063, 141.924064, 156.253854, 503.574272], [74.975971, 78.398981, 79.150634, 81.583632, 98.583503, 104.341554, 107.488436, 121.240920, 132.693563, 426.798649], [28.034034, 29.608223, 30.037597, 30.184366, 37.351176, 39.312509, 40.060453, 45.571673, 49.371130, 178.771135], [19.964581, 20.741594, 21.146657, 22.065223, 26.921279, 28.257636, 28.381190, 32.329558, 34.691585, 156.378474], [30.597380, 31.826685, 32.088770, 33.548246, 40.521278, 42.495766, 44.299222, 49.926918, 54.465731, 214.855714], [22.383003, 23.678827, 23.697859, 24.515850, 29.881743, 31.542348, 31.744944, 36.264765, 39.173446, 174.626688], [9.500384, 9.837688, 9.866823, 10.638562, 12.168936, 12.970207, 13.590587, 15.254267, 16.949908, 20.287765]]
### 10
fourier: [[10.151027, 10.247194, 10.631308, 10.799760, 13.386928, 14.039834, 14.307178, 15.922956, 16.907335, 85.997202], [23.211528, 23.343819, 23.433280, 25.054264, 30.171311, 32.095147, 33.332905, 37.034256, 40.707448, 91.702545], [102.256726, 104.083478, 105.305442, 109.074319, 133.534346, 142.419127, 146.094266, 162.805363, 179.008828, 587.039068], [4.172513, 4.216261, 4.389181, 4.859936, 5.547330, 5.617199, 6.063468, 6.453001, 6.678372, 56.129809], [72.780604, 74.082172, 74.883739, 77.704671, 95.022293, 101.336793, 104.029131, 115.900633, 127.477131, 376.367679], [111.843918, 113.639325, 115.492248, 118.682779, 146.174372, 155.921656, 159.356460, 177.833091, 194.991890, 636.035157], [52.672532, 53.450376, 54.263693, 55.928106, 68.811872, 73.379745, 75.062430, 83.753773, 91.790735, 298.612287]]
### 12
fourier: [[95.946582, 98.542151, 98.917837, 104.580963, 125.574264, 134.117462, 139.570158, 155.071295, 170.912095, 474.465893]]
## 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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474.46589332818985]}}, "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": [[-0.120364, 0.189537, -0.278066, -0.110848, 0.620023], [-0.750106, 0.032824, 0.17021, 0.286754, 0.705255], [-0.100217, -0.056975, -0.563781, -0.607639, -0.498135], [0.184819, -0.410323, -0.042283, 0.423608, 0.427924], [-0.211622, -0.066711, -0.591283, 0.051706, 0.550087], [-0.132876, -0.352223, -0.232316, -0.00997, -0.240057], [1.212801, 0.271102, -0.015159, 0.044553, -0.558446]], "network.0.bias": [0.2041, 0.057209, -0.517672, 0.084455, -0.188183, -0.398532, 0.299644], "network.2.weight": [[-0.112093, -0.386072, 0.180052, -0.213833, 0.238946, 0.194895, 0.541505], [0.63037, -0.192476, 0.052233, 0.670426, 0.424213, 0.10259, 0.338], [0.505627, 0.398604, 0.053359, 0.714656, 0.348181, 0.287022, -0.790751], [0.083436, -0.08305, 0.122271, 0.120014, -0.26539, -0.088079, -0.165346], [0.627194, 0.118456, 0.162088, 0.319763, 0.142567, 0.303744, -0.384773], [-0.078103, -0.07588, 0.433831, 0.537713, -0.077039, -0.093034, 0.409412], [0.027894, 0.173492, 0.451662, 0.618078, 0.142416, 0.25824, -0.766419]], "network.2.bias": [-0.326068, -0.205073, -0.261228, -0.406863, -0.03167, -0.482219, 0.024143], "network.4.weight": [[0.011796, -0.354514, 0.220807, -0.374537, -0.326728, 0.139877, -0.191298], [-0.140685, -0.564424, -0.275581, 0.009029, 0.196816, -0.445859, -0.322556], [-0.181279, -0.375644, -0.149251, 0.321816, -0.589058, 0.166758, 0.020027], [-0.449093, 0.177906, -0.123652, -0.365692, 0.233502, -0.296749, -0.478088], [-0.459298, -0.37238, 0.06994, 0.35724, 0.180973, 0.330608, 0.227151], [0.717198, 0.612221, 0.758208, -0.084588, 0.426753, 0.22229, 0.874596], [0.468936, 0.697816, 0.467339, 0.261153, -0.045472, 0.464254, 0.095137]], "network.4.bias": [-0.273581, 0.043467, -0.140072, 0.641547, 0.016277, -0.367632, -0.226487], "network.6.weight": [[-0.12081, -0.206554, -0.145665, 0.177722, 0.073455, -0.060258, -0.091124], [-0.36374, -0.103627, 0.128093, -0.491237, 0.327207, 0.065299, 0.474027], [0.252246, -0.432812, -0.192981, -0.428059, 0.442358, 0.624293, 0.737591], [-0.105686, -0.111387, 0.223675, -0.758433, 0.296226, 0.743878, 0.631638], [0.072349, -0.207454, -0.056946, -0.666206, -0.072739, 0.764718, 0.727896], [0.210563, 0.107011, 0.057598, 0.746244, -0.011005, -0.001484, 0.010235], [-0.249073, 0.273114, -0.168219, -0.037353, -0.000697, -0.337231, -0.007071]], "network.6.bias": [-0.313331, 0.026552, 0.08561, 0.179527, 0.091394, 0.300887, -0.127691], "network.8.weight": [[-0.342246, 0.590038, 0.410293, 0.716387, 0.615005, -0.568194, -0.089454], [-0.270984, 0.06876, 0.268377, 0.746469, 0.625859, -0.136015, 0.099413], [-0.393645, 0.185062, -0.317528, -0.077211, -0.302504, -0.065956, -0.063169], [-0.435645, 0.18703, -0.134622, -0.182261, -0.202178, -0.283658, 0.335289], [0.290955, -0.006285, -0.323486, 0.015106, -0.377547, 0.028682, -0.181548], [-0.034171, 0.213226, -0.227225, -0.128271, -0.223288, -0.097307, -0.051444], [0.349223, 0.017227, 0.044189, 0.070786, 0.082854, -0.187395, 0.138935]], "network.8.bias": [-0.031562, -0.322, 0.011192, -0.154317, -0.277574, -0.317696, -0.291825], "network.10.weight": [[-0.047189, -0.016006, -0.248128, 0.277823, 0.323851, -0.145546, -0.602506], [-0.400014, 0.187696, -0.027061, 0.229461, -0.269531, -0.000611, -0.29726], [0.518447, 0.768047, 0.302574, -0.3807, -0.240679, 0.110105, -0.047496], [0.149768, -0.20617, 0.220863, 0.095863, 0.171277, -0.283133, -0.224477], [-0.391574, -0.522497, 0.206291, -0.040015, 0.327332, -0.196569, 0.053761], [0.551057, 0.799963, 0.086623, -0.174526, 0.093847, -0.020871, 0.495082], [0.334601, 0.275935, 0.373988, -0.210455, 0.365562, 0.098459, 0.357264]], "network.10.bias": [-0.359482, 0.484066, -0.173956, -0.386603, 0.588069, -0.194842, -0.092777], "network.12.weight": [[-0.075053, 0.722359, -0.612696, 0.140883, 0.503858, -0.30402, 0.030665]], "network.12.bias": [0.575531]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6975657939910889, "train_acc": 0.46, "val_loss": 0.690040111541748, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6707853078842163, "train_acc": 0.565, "val_loss": 0.6992610096931458, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6638560593128204, "train_acc": 0.565, "val_loss": 0.6210444569587708, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5843900442123413, "train_acc": 0.495, "val_loss": 0.502863347530365, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4993950128555298, "train_acc": 0.8, "val_loss": 0.4190649092197418, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4641251116991043, "train_acc": 0.855, "val_loss": 0.40346482396125793, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4097498655319214, "train_acc": 0.89, "val_loss": 0.3984243869781494, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.40629349648952484, "train_acc": 0.865, "val_loss": 0.37705910205841064, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.35005882382392883, "train_acc": 0.885, "val_loss": 0.33330824971199036, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.31722399592399597, "train_acc": 0.88, "val_loss": 0.30517303943634033, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2896425127983093, "train_acc": 0.92, "val_loss": 0.28095757961273193, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2588184326887131, "train_acc": 0.9, "val_loss": 0.28195515275001526, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.22702525556087494, "train_acc": 0.93, "val_loss": 0.2672346532344818, "val_acc": 0.9}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.690040111541748, "final_val_loss": 0.6210444569587708, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.502863347530365, "final_val_loss": 0.2672346532344818, "initial_val_acc": 0.82, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 10}, "improvement": 0.38, "first_improvement_epoch": 2}}
|
131
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.52, "improved_accuracy": 0.98, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3836, "learning_rate": 0.020935064567670837, "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: 4
Neurons per Layer: 6
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: [[12.185721, 12.436948, 12.796049, 13.873958, 14.150860, 14.209931, 14.321347, 14.516598, 16.856996, 43.035218], [21.631854, 23.081627, 23.876236, 24.077026, 24.856603, 28.716712, 30.002428, 33.007397, 33.599494, 187.151406], [21.344322, 22.154365, 22.699239, 23.285725, 23.962419, 23.985640, 24.011698, 24.241429, 25.011475, 56.872401], [24.476299, 24.526744, 26.002080, 26.681015, 27.709027, 29.313118, 30.320685, 30.351464, 30.661728, 55.923565], [16.331036, 19.487633, 19.769810, 20.208343, 20.217994, 20.979115, 21.600924, 24.787358, 29.537626, 42.617993], [12.274654, 12.617621, 12.717288, 12.730996, 14.404214, 16.374831, 16.965159, 17.540098, 17.662960, 135.690548]]
### 2
fourier: [[8.035611, 8.268289, 8.440502, 9.010506, 9.487984, 11.817821, 11.957244, 12.468322, 13.374429, 66.676212], [19.738348, 23.380763, 24.223532, 24.652306, 24.677258, 29.450964, 35.697313, 36.157130, 36.649027, 189.712173], [13.055981, 13.591828, 13.935009, 14.523014, 14.795548, 14.927147, 15.230969, 16.375333, 21.003008, 52.336307], [12.065726, 13.921462, 14.858610, 15.633293, 16.257870, 16.583993, 19.455672, 19.549050, 21.187814, 103.018121], [11.120510, 11.660857, 11.817418, 12.773824, 13.216952, 13.378311, 13.590457, 14.484675, 18.780942, 31.168569], [29.341432, 30.415826, 32.590237, 32.678061, 33.833585, 34.273604, 35.077377, 40.860044, 43.655130, 164.908358]]
### 4
fourier: [[13.952555, 16.083979, 16.422778, 16.496408, 16.738871, 20.399195, 23.152677, 23.289630, 24.409062, 94.983213], [9.419245, 9.782611, 9.840621, 10.543915, 11.773713, 14.266934, 15.052017, 15.869995, 16.196302, 96.753915], [23.467351, 23.765308, 23.876836, 25.503887, 28.559008, 28.854274, 36.689767, 37.511938, 38.585137, 181.425767], [38.932848, 40.676797, 40.728730, 44.804891, 46.871566, 49.423048, 63.333889, 64.264828, 64.501256, 296.422614], [31.554153, 31.642299, 31.991680, 34.812128, 37.521411, 39.040722, 49.786030, 50.881319, 51.705552, 246.135297], [11.236122, 11.390998, 11.631434, 12.286323, 12.317400, 12.434266, 13.220085, 16.464125, 16.734778, 102.353426]]
### 6
fourier: [[70.147229, 72.551230, 73.071862, 78.937936, 85.376226, 87.132988, 113.329374, 118.628858, 120.606259, 574.071067], [10.364910, 10.529938, 10.697379, 11.974211, 12.460308, 12.889335, 17.002623, 17.983967, 18.192070, 45.274355], [13.256104, 13.458198, 13.618794, 14.888769, 16.050168, 16.364062, 21.398509, 22.791680, 22.867847, 89.569995], [13.812634, 14.539430, 14.545776, 15.974725, 17.049124, 17.216135, 22.777346, 23.878536, 24.043318, 133.986050], [3.151976, 3.169181, 3.180389, 3.360639, 3.717014, 3.889727, 4.869195, 5.125549, 5.285918, 73.936108], [3.659835, 3.687368, 3.970596, 3.981777, 4.560063, 4.572062, 5.836870, 6.209289, 6.388337, 80.221440]]
### 8
fourier: [[36.792996, 37.592218, 37.599062, 40.690914, 44.281649, 44.478274, 57.818252, 60.568341, 61.670817, 223.889866]]
## 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: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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-0.353983,
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"network.6.weight": [
[
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[
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}
## Activation Signature
### 0
fourier: [[12.185721, 12.436948, 12.796049, 13.873958, 14.150860, 14.209931, 14.321347, 14.516598, 16.856996, 43.035218], [21.631854, 23.081627, 23.876236, 24.077026, 24.856603, 28.716712, 30.002428, 33.007397, 33.599494, 187.151406], [21.344322, 22.154365, 22.699239, 23.285725, 23.962419, 23.985640, 24.011698, 24.241429, 25.011475, 56.872401], [24.476299, 24.526744, 26.002080, 26.681015, 27.709027, 29.313118, 30.320685, 30.351464, 30.661728, 55.923565], [16.331036, 19.487633, 19.769810, 20.208343, 20.217994, 20.979115, 21.600924, 24.787358, 29.537626, 42.617993], [12.274654, 12.617621, 12.717288, 12.730996, 14.404214, 16.374831, 16.965159, 17.540098, 17.662960, 135.690548]]
### 2
fourier: [[8.035611, 8.268289, 8.440502, 9.010506, 9.487984, 11.817821, 11.957244, 12.468322, 13.374429, 66.676212], [19.738348, 23.380763, 24.223532, 24.652306, 24.677258, 29.450964, 35.697313, 36.157130, 36.649027, 189.712173], [13.055981, 13.591828, 13.935009, 14.523014, 14.795548, 14.927147, 15.230969, 16.375333, 21.003008, 52.336307], [12.065726, 13.921462, 14.858610, 15.633293, 16.257870, 16.583993, 19.455672, 19.549050, 21.187814, 103.018121], [11.120510, 11.660857, 11.817418, 12.773824, 13.216952, 13.378311, 13.590457, 14.484675, 18.780942, 31.168569], [29.341432, 30.415826, 32.590237, 32.678061, 33.833585, 34.273604, 35.077377, 40.860044, 43.655130, 164.908358]]
### 4
fourier: [[13.952555, 16.083979, 16.422778, 16.496408, 16.738871, 20.399195, 23.152677, 23.289630, 24.409062, 94.983213], [9.419245, 9.782611, 9.840621, 10.543915, 11.773713, 14.266934, 15.052017, 15.869995, 16.196302, 96.753915], [23.467351, 23.765308, 23.876836, 25.503887, 28.559008, 28.854274, 36.689767, 37.511938, 38.585137, 181.425767], [38.932848, 40.676797, 40.728730, 44.804891, 46.871566, 49.423048, 63.333889, 64.264828, 64.501256, 296.422614], [31.554153, 31.642299, 31.991680, 34.812128, 37.521411, 39.040722, 49.786030, 50.881319, 51.705552, 246.135297], [11.236122, 11.390998, 11.631434, 12.286323, 12.317400, 12.434266, 13.220085, 16.464125, 16.734778, 102.353426]]
### 6
fourier: [[70.147229, 72.551230, 73.071862, 78.937936, 85.376226, 87.132988, 113.329374, 118.628858, 120.606259, 574.071067], [10.364910, 10.529938, 10.697379, 11.974211, 12.460308, 12.889335, 17.002623, 17.983967, 18.192070, 45.274355], [13.256104, 13.458198, 13.618794, 14.888769, 16.050168, 16.364062, 21.398509, 22.791680, 22.867847, 89.569995], [13.812634, 14.539430, 14.545776, 15.974725, 17.049124, 17.216135, 22.777346, 23.878536, 24.043318, 133.986050], [3.151976, 3.169181, 3.180389, 3.360639, 3.717014, 3.889727, 4.869195, 5.125549, 5.285918, 73.936108], [3.659835, 3.687368, 3.970596, 3.981777, 4.560063, 4.572062, 5.836870, 6.209289, 6.388337, 80.221440]]
### 8
fourier: [[36.792996, 37.592218, 37.599062, 40.690914, 44.281649, 44.478274, 57.818252, 60.568341, 61.670817, 223.889866]]
## 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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14.795548454982065, 14.927146938523395, 15.230968652018763, 16.375333464157354, 21.003008270941606, 52.336307264864445]}, "3": {"fourier": [12.065726339814143, 13.92146249837874, 14.858610219335704, 15.63329272667919, 16.257869768905135, 16.58399332634093, 19.455671751409188, 19.54904952821999, 21.187813884506117, 103.01812121272087]}, "4": {"fourier": [11.12050981749215, 11.660857267734775, 11.817417925345968, 12.773824020687021, 13.216952020878896, 13.378310638012712, 13.590457186990529, 14.48467511264696, 18.780942364220152, 31.168568819761276]}, "5": {"fourier": [29.341432253472256, 30.415826020744152, 32.59023695919355, 32.67806108401628, 33.83358496892065, 34.27360401900369, 35.077376507482164, 40.86004400070281, 43.65513045208247, 164.90835834294558]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [13.952554722177272, 16.083978742239363, 16.42277833483405, 16.496407694949866, 16.7388712407411, 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"model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "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": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.172482, 0.304342, 0.236479, -0.05716, -0.323662], [0.527789, 0.233822, 0.195606, -0.030404, 0.347247], [-0.340838, -0.29485, 0.093636, 0.44553, 0.553274], [0.547188, 0.548937, -0.1729, -0.523007, 0.289816], [-0.315272, 0.036131, 0.560358, 0.149804, -0.55881], [-0.247526, 0.13502, 0.361725, 0.305428, -0.104434]], "network.0.bias": [0.166013, 0.224909, -0.240029, 0.065431, -0.00254, 0.287893], "network.2.weight": [[0.327372, 0.322548, -0.111515, -0.003854, 0.419997, -0.392437], [-0.101858, 0.35583, 0.788711, 0.590408, -0.283073, 0.122818], [0.261528, 0.149343, -0.100114, -0.498775, 0.394206, 0.157933], [-0.255632, 0.172106, 0.636913, -0.047498, -0.299615, 0.230882], [-0.086844, -0.073406, 0.689144, -0.141379, 0.111104, -0.129673], [0.09319, 0.517651, 0.196228, 0.791608, -0.499771, -0.077643]], "network.2.bias": [0.234114, 0.08162, 0.171422, 0.268516, 0.139982, 0.18981], "network.4.weight": [[-0.425377, 0.663846, 0.283614, -0.316475, 0.154932, 0.222205], [-0.175338, -0.146093, -0.204927, -0.254883, 0.169895, -0.219481], [-0.133047, 0.510066, -0.157829, 0.095939, 0.259873, 0.396923], [-0.106555, 0.694435, -0.419457, 0.445816, 0.548802, 0.651269], [-0.008782, 0.601415, -0.367167, 0.279125, 0.421186, 0.485277], [0.22715, -0.02534, -0.277858, -0.461514, -0.153894, -0.240973]], "network.4.bias": [-0.353983, 0.135753, 0.165945, 0.194147, 0.288301, 0.004724], "network.6.weight": [[0.101749, 0.19425, 0.760117, 0.748784, 0.777249, -0.134154], [0.283902, 0.060146, -0.091421, -0.226082, -0.127639, -0.228434], [0.277504, 0.389964, -0.250506, -0.08485, -0.275962, -0.02837], [0.013343, -0.069905, 0.053084, -0.252527, -0.194825, 0.142963], [0.007446, -0.164989, -0.224198, -0.032846, 0.103282, 0.33632], [-0.065435, 0.165243, 0.184158, -0.08865, 0.126166, -0.098632]], "network.6.bias": [0.064749, 0.479953, 0.256184, -0.227766, -0.549076, 0.536306], "network.8.weight": [[-0.525282, 0.350713, 0.66658, 0.038305, 0.086646, 0.420004]], "network.8.bias": [0.438703]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7017889618873596, "train_acc": 0.43, "val_loss": 0.6884343028068542, "val_acc": 0.64}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6809877157211304, "train_acc": 0.61, "val_loss": 0.673530101776123, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6621000468730927, "train_acc": 0.57, "val_loss": 0.6531903147697449, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6602751314640045, "train_acc": 0.495, "val_loss": 0.6277100443840027, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6207649111747742, "train_acc": 0.685, "val_loss": 0.5809972882270813, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5614091753959656, "train_acc": 0.77, "val_loss": 0.5244652032852173, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5180371403694153, "train_acc": 0.74, "val_loss": 0.45197802782058716, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4756115972995758, "train_acc": 0.825, "val_loss": 0.3981817960739136, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.42857620120048523, "train_acc": 0.86, "val_loss": 0.3620609939098358, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.40758977830410004, "train_acc": 0.85, "val_loss": 0.31641271710395813, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.38506531715393066, "train_acc": 0.855, "val_loss": 0.2618832290172577, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3592480570077896, "train_acc": 0.87, "val_loss": 0.2352227419614792, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3103053569793701, "train_acc": 0.885, "val_loss": 0.1956816464662552, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6884343028068542, "final_val_loss": 0.6531903147697449, "initial_val_acc": 0.64, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6277100443840027, "final_val_loss": 0.1956816464662552, "initial_val_acc": 0.72, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 11}, "improvement": 0.45999999999999996, "first_improvement_epoch": 2}}
|
132
|
{"target_pattern": "alternating", "degraded_accuracy": 0.68, "improved_accuracy": 0.9, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7838, "learning_rate": 0.04048271082201054, "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: 4
Neurons per Layer: 5
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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[
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],
[
0.357206,
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0.787064,
-0.26743,
0.19296
],
[
0.767315,
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]
],
"network.2.bias": [
-0.213004,
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0.361344
],
"network.4.weight": [
[
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],
[
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[
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[
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]
],
"network.4.bias": [
0.250746,
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[
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[
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],
"network.8.weight": [
[
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"network.8.bias": [
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}
## Activation Signature
### 0
fourier: [[32.633166, 33.902022, 36.941949, 37.076516, 38.474337, 41.964104, 42.999988, 43.825398, 46.559025, 361.613170], [20.718796, 21.684871, 22.828507, 24.415419, 27.560564, 27.786578, 27.894793, 34.207661, 37.696263, 73.103445], [24.747898, 25.173063, 25.696642, 25.703791, 26.875844, 27.139498, 28.121098, 33.112592, 42.024513, 176.759784], [27.434113, 31.375845, 31.970128, 32.466025, 33.378474, 34.435268, 37.709484, 47.708839, 49.578562, 176.157393], [30.638634, 34.095075, 34.224420, 35.199936, 37.058783, 41.498376, 43.246789, 49.967388, 52.947408, 303.190108]]
### 2
fourier: [[31.444674, 32.267720, 32.833870, 36.140589, 38.991848, 40.698502, 54.112394, 57.478256, 60.647844, 261.746464], [23.594202, 25.997100, 29.103041, 29.634326, 31.372086, 33.213875, 33.520425, 35.415577, 35.493277, 270.926981], [15.300111, 15.834859, 16.298669, 16.695151, 19.642237, 20.080371, 23.695626, 23.798568, 25.874469, 221.166021], [15.358800, 16.267791, 16.365674, 16.576070, 17.061232, 17.609826, 17.665312, 19.249366, 21.788371, 72.322159], [24.537349, 25.423091, 26.201314, 26.338305, 27.584062, 29.125606, 29.890784, 32.970850, 37.612119, 246.296897]]
### 4
fourier: [[31.228487, 31.302651, 32.739044, 33.178044, 33.333156, 33.571572, 48.667578, 52.683942, 52.985979, 296.888417], [21.039432, 22.951711, 24.286303, 24.726498, 25.137029, 25.325277, 26.573582, 29.898393, 34.679980, 100.453037], [12.317355, 15.622564, 15.845547, 15.890896, 16.366230, 16.836825, 19.298791, 21.608000, 24.837716, 67.601713], [28.869344, 29.407398, 31.950318, 35.752544, 39.381279, 42.447668, 44.820630, 48.329786, 53.584732, 57.788367], [33.508904, 35.369663, 35.484942, 39.142188, 39.221416, 41.322909, 44.038219, 47.372931, 54.070010, 151.378566]]
### 6
fourier: [[18.830678, 19.278765, 19.842255, 20.325009, 21.198628, 21.782304, 22.264318, 22.307881, 23.552892, 23.651913], [17.628087, 18.147638, 19.239782, 19.409375, 19.895454, 23.328272, 23.336622, 27.985549, 33.076086, 33.133901], [19.468802, 22.414074, 22.491060, 24.223089, 26.266309, 27.798124, 28.067856, 33.961648, 40.259543, 53.004152], [13.212248, 13.710376, 14.122534, 14.863253, 15.199380, 15.937197, 16.441873, 16.757041, 18.949343, 20.007939], [27.146608, 27.468438, 33.064790, 33.376896, 35.119678, 36.651505, 39.079441, 41.160825, 42.485449, 275.952833]]
### 8
fourier: [[37.315296, 37.485892, 37.878021, 39.384584, 40.885562, 43.398586, 43.513505, 44.248478, 49.333294, 156.032816]]
## 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: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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0.556257
],
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],
[
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0.395242
],
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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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]
],
"network.2.bias": [
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],
"network.4.weight": [
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],
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],
"network.4.bias": [
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],
"network.6.weight": [
[
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],
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[
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[32.633166, 33.902022, 36.941949, 37.076516, 38.474337, 41.964104, 42.999988, 43.825398, 46.559025, 361.613170], [20.718796, 21.684871, 22.828507, 24.415419, 27.560564, 27.786578, 27.894793, 34.207661, 37.696263, 73.103445], [24.747898, 25.173063, 25.696642, 25.703791, 26.875844, 27.139498, 28.121098, 33.112592, 42.024513, 176.759784], [27.434113, 31.375845, 31.970128, 32.466025, 33.378474, 34.435268, 37.709484, 47.708839, 49.578562, 176.157393], [30.638634, 34.095075, 34.224420, 35.199936, 37.058783, 41.498376, 43.246789, 49.967388, 52.947408, 303.190108]]
### 2
fourier: [[31.444674, 32.267720, 32.833870, 36.140589, 38.991848, 40.698502, 54.112394, 57.478256, 60.647844, 261.746464], [23.594202, 25.997100, 29.103041, 29.634326, 31.372086, 33.213875, 33.520425, 35.415577, 35.493277, 270.926981], [15.300111, 15.834859, 16.298669, 16.695151, 19.642237, 20.080371, 23.695626, 23.798568, 25.874469, 221.166021], [15.358800, 16.267791, 16.365674, 16.576070, 17.061232, 17.609826, 17.665312, 19.249366, 21.788371, 72.322159], [24.537349, 25.423091, 26.201314, 26.338305, 27.584062, 29.125606, 29.890784, 32.970850, 37.612119, 246.296897]]
### 4
fourier: [[31.228487, 31.302651, 32.739044, 33.178044, 33.333156, 33.571572, 48.667578, 52.683942, 52.985979, 296.888417], [21.039432, 22.951711, 24.286303, 24.726498, 25.137029, 25.325277, 26.573582, 29.898393, 34.679980, 100.453037], [12.317355, 15.622564, 15.845547, 15.890896, 16.366230, 16.836825, 19.298791, 21.608000, 24.837716, 67.601713], [28.869344, 29.407398, 31.950318, 35.752544, 39.381279, 42.447668, 44.820630, 48.329786, 53.584732, 57.788367], [33.508904, 35.369663, 35.484942, 39.142188, 39.221416, 41.322909, 44.038219, 47.372931, 54.070010, 151.378566]]
### 6
fourier: [[18.830678, 19.278765, 19.842255, 20.325009, 21.198628, 21.782304, 22.264318, 22.307881, 23.552892, 23.651913], [17.628087, 18.147638, 19.239782, 19.409375, 19.895454, 23.328272, 23.336622, 27.985549, 33.076086, 33.133901], [19.468802, 22.414074, 22.491060, 24.223089, 26.266309, 27.798124, 28.067856, 33.961648, 40.259543, 53.004152], [13.212248, 13.710376, 14.122534, 14.863253, 15.199380, 15.937197, 16.441873, 16.757041, 18.949343, 20.007939], [27.146608, 27.468438, 33.064790, 33.376896, 35.119678, 36.651505, 39.079441, 41.160825, 42.485449, 275.952833]]
### 8
fourier: [[37.315296, 37.485892, 37.878021, 39.384584, 40.885562, 43.398586, 43.513505, 44.248478, 49.333294, 156.032816]]
## 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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44.2484781810301, 49.333294204414244, 156.03281573951244]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.258111, 0.559634, 0.171422, 0.828094, 0.556257], [0.24653, -0.346347, -0.105681, 0.161367, 0.851689], [-0.016719, 0.439722, -0.959227, -0.549928, 0.395242], [0.669443, -0.557719, 0.460418, 0.041298, 0.521895], [-0.32918, -0.008559, -0.935114, -0.057731, -0.525439]], "network.0.bias": [0.499418, -0.039117, -0.048919, 0.446512, -0.218345], "network.2.weight": [[0.241164, 0.653104, 0.965922, 0.75851, 0.928225], [-0.776775, -0.02956, -0.424656, 0.153179, -0.572465], [-0.344276, -0.066785, -0.842063, -0.274974, -0.074163], [0.357206, 0.27794, 0.787064, -0.26743, 0.19296], [0.767315, -0.128081, -0.610132, -0.280982, -0.755709]], "network.2.bias": [-0.213004, -0.207795, -0.441507, -0.36303, 0.361344], "network.4.weight": [[0.825874, 0.699993, 0.520716, 0.146871, 0.226788], [0.3902, -0.693638, 0.517057, -0.664678, -0.508694], [-0.447066, -0.60525, -0.690762, 0.686521, -0.144392], [-0.816011, -0.690839, -0.270392, -0.345905, 0.607752], [0.594269, -0.496376, -0.238963, -0.713309, -0.956202]], "network.4.bias": [0.250746, -0.301108, 0.287556, 0.291914, -0.227518], "network.6.weight": [[0.077216, 0.430449, 0.281713, 0.504058, 0.968023], [-0.240008, -0.113042, -0.087255, 0.977241, -0.405878], [-0.361404, -0.858733, 0.186242, 0.811377, -0.10742], [-0.181569, 0.62102, -0.172399, 0.805368, 0.438678], [0.855578, -0.152621, 0.159646, -0.641665, -0.628266]], "network.6.bias": [-0.758093, 0.080585, 0.354341, 0.124137, 0.811326], "network.8.weight": [[0.800739, 1.005755, 0.493133, 0.665422, -0.745298]], "network.8.bias": [-0.380204]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6881381571292877, "train_acc": 0.65, "val_loss": 0.6833640336990356, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6721067428588867, "train_acc": 0.65, "val_loss": 0.6530404090881348, "val_acc": 0.64}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6407957077026367, "train_acc": 0.675, "val_loss": 0.6056392192840576, "val_acc": 0.68}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6039352715015411, "train_acc": 0.63, "val_loss": 0.5417066812515259, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5352208912372589, "train_acc": 0.77, "val_loss": 0.49693116545677185, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.49968862533569336, "train_acc": 0.76, "val_loss": 0.4039347171783447, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.43897175788879395, "train_acc": 0.835, "val_loss": 0.32794201374053955, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.34586596488952637, "train_acc": 0.855, "val_loss": 0.3160446584224701, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3226802349090576, "train_acc": 0.855, "val_loss": 0.2811793386936188, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2650226801633835, "train_acc": 0.88, "val_loss": 0.25063976645469666, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.23954322934150696, "train_acc": 0.87, "val_loss": 0.21455872058868408, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.24221386015415192, "train_acc": 0.885, "val_loss": 0.2112257033586502, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.19266343861818314, "train_acc": 0.915, "val_loss": 0.24942021071910858, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6833640336990356, "final_val_loss": 0.6056392192840576, "initial_val_acc": 0.6, "final_val_acc": 0.68, "best_val_acc": 0.68}, "improved_stage": {"initial_val_loss": 0.5417066812515259, "final_val_loss": 0.24942021071910858, "initial_val_acc": 0.8, "final_val_acc": 0.86, "best_val_acc": 0.9, "best_epoch": 11}, "improvement": 0.21999999999999997, "first_improvement_epoch": 2}}
|
133
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.4, "improved_accuracy": 0.88, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3904, "learning_rate": 0.06401660712430644, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[25.653248, 26.393149, 28.533972, 31.310881, 34.715190, 36.237460, 38.029149, 46.067703, 49.262265, 138.105069], [24.145909, 25.590586, 26.107766, 26.471358, 26.868706, 27.318413, 29.350303, 33.879546, 34.857287, 245.693613], [30.016302, 30.781070, 31.900849, 34.417181, 38.700122, 43.757451, 46.632949, 53.916466, 57.269663, 126.564672], [20.663406, 21.236586, 21.684866, 23.546473, 23.594710, 23.661188, 24.087046, 31.063354, 33.545842, 92.686884], [21.983706, 22.044212, 23.735217, 24.136781, 25.815587, 27.503191, 27.918645, 30.205397, 37.002726, 264.176251], [22.705695, 23.529570, 24.256625, 26.777872, 28.736613, 32.586759, 34.720723, 35.232123, 36.047863, 258.786585], [17.347935, 18.168614, 19.295941, 20.360762, 23.792044, 23.814754, 25.782044, 30.439247, 31.281480, 159.310604], [16.302274, 18.356433, 19.309179, 19.332276, 19.711056, 20.064556, 23.887551, 25.139073, 28.158197, 67.542554]]
### 2
fourier: [[10.902654, 13.290803, 13.772209, 14.497471, 14.849043, 15.897909, 17.331243, 18.138149, 20.271982, 26.239688], [17.060021, 17.230619, 17.296270, 24.614875, 25.849645, 25.941301, 27.010401, 35.947837, 37.465020, 101.619052], [23.809358, 23.993671, 26.161581, 32.725737, 39.666647, 41.088789, 43.329695, 53.734859, 56.370934, 153.736459], [9.447448, 9.480903, 10.908916, 12.446593, 12.519588, 14.651922, 15.672767, 18.630668, 20.154649, 60.542931], [9.802268, 9.804478, 10.903500, 11.644164, 11.691795, 13.127701, 14.747051, 15.872393, 18.365789, 59.978000], [10.032106, 10.398778, 10.915987, 12.232769, 13.359157, 16.420003, 17.202481, 20.242441, 22.183271, 104.984711], [17.232219, 17.321640, 17.721139, 24.367708, 25.697443, 27.543905, 28.782879, 36.204687, 39.382592, 87.759161], [11.095567, 12.011501, 13.336256, 14.342006, 14.472944, 16.631063, 17.551957, 17.568163, 19.346025, 22.487377]]
### 4
fourier: [[20.795135, 20.909626, 21.740439, 29.828924, 33.139262, 33.751868, 34.406499, 44.199677, 46.216870, 125.344503], [14.506783, 14.631492, 15.530854, 18.745430, 19.850666, 22.274788, 22.633202, 29.452030, 30.031479, 120.638375], [13.991536, 15.980006, 17.292450, 19.743956, 20.616399, 20.799661, 21.691068, 26.549615, 26.643581, 28.030998], [22.821539, 22.992498, 25.584859, 29.265881, 34.164818, 37.269222, 37.597267, 48.324658, 49.807913, 186.648258], [28.715513, 29.097213, 29.954423, 40.553286, 47.557414, 48.736455, 50.160195, 62.768736, 67.201701, 183.770034], [18.271538, 18.682285, 19.751512, 26.479814, 29.336392, 30.806497, 31.843608, 38.276778, 42.285949, 106.898940], [19.354545, 19.474153, 19.510009, 26.466525, 31.774104, 31.898421, 32.994445, 41.939074, 43.831364, 103.658688], [25.936523, 26.009836, 28.079074, 34.075723, 39.121985, 41.620757, 42.825905, 54.863741, 57.388210, 189.096126]]
### 6
fourier: [[8.412912, 9.101675, 9.740430, 10.318786, 11.512136, 13.130496, 13.302123, 16.422248, 17.231242, 79.119641], [32.685418, 33.165878, 33.408499, 46.635536, 54.067345, 54.663121, 56.315301, 71.973562, 74.574614, 180.796135], [25.934333, 26.674482, 26.939383, 37.224407, 43.794665, 43.866310, 45.438934, 57.525752, 60.299166, 129.180173], [18.709827, 19.559957, 19.561457, 23.399730, 25.541368, 27.536776, 28.720048, 29.090997, 37.519889, 38.126957], [6.040375, 6.803982, 6.995182, 7.200394, 8.979880, 9.325343, 9.751819, 11.557122, 12.902201, 40.968434], [19.925353, 20.293873, 23.050346, 24.816671, 28.547813, 31.987984, 32.060036, 40.359861, 41.948169, 168.371338], [18.887066, 19.039731, 19.124567, 26.587320, 31.186957, 31.672881, 32.654847, 41.295102, 43.319109, 82.651089], [11.290152, 12.372272, 13.410500, 13.860925, 15.859766, 18.056842, 18.132682, 22.477747, 23.555109, 118.180375]]
### 8
fourier: [[6.298730, 6.547191, 6.638248, 7.556537, 7.628793, 8.347956, 8.648914, 10.647537, 11.281836, 13.773009], [11.942311, 11.971193, 12.089206, 16.972914, 19.463949, 19.940055, 20.612291, 26.366281, 26.974227, 27.374999], [6.975677, 7.003336, 8.434138, 8.722546, 9.164912, 9.617808, 9.814678, 10.552621, 12.933356, 93.269416], [16.947333, 17.049849, 17.182689, 22.965000, 23.621986, 27.157283, 27.614810, 28.690644, 37.305159, 37.392803], [25.429381, 26.674044, 28.138688, 31.883150, 37.560508, 40.219869, 40.798710, 49.707415, 54.189484, 195.667146], [24.744231, 26.028974, 27.515231, 30.791186, 36.436812, 38.986552, 39.581259, 48.190202, 52.585082, 207.757905], [16.087810, 16.186058, 16.304165, 16.764752, 22.319399, 25.363894, 25.504176, 26.724816, 34.545365, 35.079507], [0.312349, 0.327086, 0.341548, 0.357081, 0.362277, 0.379217, 0.410939, 0.450902, 0.632166, 24.964972]]
### 10
fourier: [[0.869574, 0.879757, 0.893993, 0.915102, 0.934241, 0.944270, 1.066778, 1.133259, 1.228043, 3.187250], [3.029938, 3.276264, 3.291955, 3.336404, 3.681998, 3.885692, 3.990562, 4.631374, 4.684889, 101.966571], [12.529501, 12.770245, 13.074080, 13.671180, 13.773006, 14.522303, 14.688507, 15.410817, 21.646227, 87.330624], [12.143866, 12.241526, 12.484468, 16.580139, 19.153849, 20.486616, 20.882712, 26.577143, 27.183133, 60.336736], [19.963874, 21.739647, 23.003302, 24.606911, 26.581439, 28.089791, 28.451313, 31.847460, 39.025771, 197.212218], [22.028474, 22.110521, 22.685213, 30.714806, 35.264228, 37.416633, 38.284811, 49.198048, 49.580535, 103.467883], [11.276103, 11.283546, 12.824633, 13.569327, 13.649797, 14.007735, 14.191596, 14.663538, 19.341867, 144.999508], [14.177018, 14.412706, 14.491732, 19.468577, 22.482175, 24.020380, 24.514431, 31.273464, 31.866552, 86.856240]]
### 12
fourier: [[19.178369, 19.972144, 20.703964, 26.833079, 30.004989, 32.207588, 32.701266, 41.518288, 42.735753, 61.069475]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[25.653248, 26.393149, 28.533972, 31.310881, 34.715190, 36.237460, 38.029149, 46.067703, 49.262265, 138.105069], [24.145909, 25.590586, 26.107766, 26.471358, 26.868706, 27.318413, 29.350303, 33.879546, 34.857287, 245.693613], [30.016302, 30.781070, 31.900849, 34.417181, 38.700122, 43.757451, 46.632949, 53.916466, 57.269663, 126.564672], [20.663406, 21.236586, 21.684866, 23.546473, 23.594710, 23.661188, 24.087046, 31.063354, 33.545842, 92.686884], [21.983706, 22.044212, 23.735217, 24.136781, 25.815587, 27.503191, 27.918645, 30.205397, 37.002726, 264.176251], [22.705695, 23.529570, 24.256625, 26.777872, 28.736613, 32.586759, 34.720723, 35.232123, 36.047863, 258.786585], [17.347935, 18.168614, 19.295941, 20.360762, 23.792044, 23.814754, 25.782044, 30.439247, 31.281480, 159.310604], [16.302274, 18.356433, 19.309179, 19.332276, 19.711056, 20.064556, 23.887551, 25.139073, 28.158197, 67.542554]]
### 2
fourier: [[10.902654, 13.290803, 13.772209, 14.497471, 14.849043, 15.897909, 17.331243, 18.138149, 20.271982, 26.239688], [17.060021, 17.230619, 17.296270, 24.614875, 25.849645, 25.941301, 27.010401, 35.947837, 37.465020, 101.619052], [23.809358, 23.993671, 26.161581, 32.725737, 39.666647, 41.088789, 43.329695, 53.734859, 56.370934, 153.736459], [9.447448, 9.480903, 10.908916, 12.446593, 12.519588, 14.651922, 15.672767, 18.630668, 20.154649, 60.542931], [9.802268, 9.804478, 10.903500, 11.644164, 11.691795, 13.127701, 14.747051, 15.872393, 18.365789, 59.978000], [10.032106, 10.398778, 10.915987, 12.232769, 13.359157, 16.420003, 17.202481, 20.242441, 22.183271, 104.984711], [17.232219, 17.321640, 17.721139, 24.367708, 25.697443, 27.543905, 28.782879, 36.204687, 39.382592, 87.759161], [11.095567, 12.011501, 13.336256, 14.342006, 14.472944, 16.631063, 17.551957, 17.568163, 19.346025, 22.487377]]
### 4
fourier: [[20.795135, 20.909626, 21.740439, 29.828924, 33.139262, 33.751868, 34.406499, 44.199677, 46.216870, 125.344503], [14.506783, 14.631492, 15.530854, 18.745430, 19.850666, 22.274788, 22.633202, 29.452030, 30.031479, 120.638375], [13.991536, 15.980006, 17.292450, 19.743956, 20.616399, 20.799661, 21.691068, 26.549615, 26.643581, 28.030998], [22.821539, 22.992498, 25.584859, 29.265881, 34.164818, 37.269222, 37.597267, 48.324658, 49.807913, 186.648258], [28.715513, 29.097213, 29.954423, 40.553286, 47.557414, 48.736455, 50.160195, 62.768736, 67.201701, 183.770034], [18.271538, 18.682285, 19.751512, 26.479814, 29.336392, 30.806497, 31.843608, 38.276778, 42.285949, 106.898940], [19.354545, 19.474153, 19.510009, 26.466525, 31.774104, 31.898421, 32.994445, 41.939074, 43.831364, 103.658688], [25.936523, 26.009836, 28.079074, 34.075723, 39.121985, 41.620757, 42.825905, 54.863741, 57.388210, 189.096126]]
### 6
fourier: [[8.412912, 9.101675, 9.740430, 10.318786, 11.512136, 13.130496, 13.302123, 16.422248, 17.231242, 79.119641], [32.685418, 33.165878, 33.408499, 46.635536, 54.067345, 54.663121, 56.315301, 71.973562, 74.574614, 180.796135], [25.934333, 26.674482, 26.939383, 37.224407, 43.794665, 43.866310, 45.438934, 57.525752, 60.299166, 129.180173], [18.709827, 19.559957, 19.561457, 23.399730, 25.541368, 27.536776, 28.720048, 29.090997, 37.519889, 38.126957], [6.040375, 6.803982, 6.995182, 7.200394, 8.979880, 9.325343, 9.751819, 11.557122, 12.902201, 40.968434], [19.925353, 20.293873, 23.050346, 24.816671, 28.547813, 31.987984, 32.060036, 40.359861, 41.948169, 168.371338], [18.887066, 19.039731, 19.124567, 26.587320, 31.186957, 31.672881, 32.654847, 41.295102, 43.319109, 82.651089], [11.290152, 12.372272, 13.410500, 13.860925, 15.859766, 18.056842, 18.132682, 22.477747, 23.555109, 118.180375]]
### 8
fourier: [[6.298730, 6.547191, 6.638248, 7.556537, 7.628793, 8.347956, 8.648914, 10.647537, 11.281836, 13.773009], [11.942311, 11.971193, 12.089206, 16.972914, 19.463949, 19.940055, 20.612291, 26.366281, 26.974227, 27.374999], [6.975677, 7.003336, 8.434138, 8.722546, 9.164912, 9.617808, 9.814678, 10.552621, 12.933356, 93.269416], [16.947333, 17.049849, 17.182689, 22.965000, 23.621986, 27.157283, 27.614810, 28.690644, 37.305159, 37.392803], [25.429381, 26.674044, 28.138688, 31.883150, 37.560508, 40.219869, 40.798710, 49.707415, 54.189484, 195.667146], [24.744231, 26.028974, 27.515231, 30.791186, 36.436812, 38.986552, 39.581259, 48.190202, 52.585082, 207.757905], [16.087810, 16.186058, 16.304165, 16.764752, 22.319399, 25.363894, 25.504176, 26.724816, 34.545365, 35.079507], [0.312349, 0.327086, 0.341548, 0.357081, 0.362277, 0.379217, 0.410939, 0.450902, 0.632166, 24.964972]]
### 10
fourier: [[0.869574, 0.879757, 0.893993, 0.915102, 0.934241, 0.944270, 1.066778, 1.133259, 1.228043, 3.187250], [3.029938, 3.276264, 3.291955, 3.336404, 3.681998, 3.885692, 3.990562, 4.631374, 4.684889, 101.966571], [12.529501, 12.770245, 13.074080, 13.671180, 13.773006, 14.522303, 14.688507, 15.410817, 21.646227, 87.330624], [12.143866, 12.241526, 12.484468, 16.580139, 19.153849, 20.486616, 20.882712, 26.577143, 27.183133, 60.336736], [19.963874, 21.739647, 23.003302, 24.606911, 26.581439, 28.089791, 28.451313, 31.847460, 39.025771, 197.212218], [22.028474, 22.110521, 22.685213, 30.714806, 35.264228, 37.416633, 38.284811, 49.198048, 49.580535, 103.467883], [11.276103, 11.283546, 12.824633, 13.569327, 13.649797, 14.007735, 14.191596, 14.663538, 19.341867, 144.999508], [14.177018, 14.412706, 14.491732, 19.468577, 22.482175, 24.020380, 24.514431, 31.273464, 31.866552, 86.856240]]
### 12
fourier: [[19.178369, 19.972144, 20.703964, 26.833079, 30.004989, 32.207588, 32.701266, 41.518288, 42.735753, 61.069475]]
## 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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"num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [19.17836932198849, 19.97214430459693, 20.703963963632095, 26.83307874112212, 30.004989244171973, 32.20758795593282, 32.70126593303453, 41.51828825539298, 42.73575251336486, 61.06947532296181]}}, "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": 8, "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": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.484011, -0.121642, -0.321552, 0.247243, 1.037146], [-0.300736, -0.510829, -0.368069, -0.232042, 0.06296], [0.627712, -0.175975, 0.064446, -0.081425, 1.092438], [-0.249342, -0.462991, 0.297868, -0.376501, -0.392477], [-0.397104, 0.049019, -0.49501, -0.405688, -0.200718], [-0.032315, -0.481503, -0.376037, -0.12239, -0.608866], [-0.16519, -0.663194, 0.262168, -0.196914, -0.225412], [0.595128, -0.081809, -0.112367, -0.324476, -0.241349]], "network.0.bias": [0.016176, -0.236028, -0.361561, 0.793338, -0.378892, -0.158892, -0.203422, -0.113797], "network.2.weight": [[-0.604783, -0.300242, 0.209314, 0.329893, -0.019235, -0.122555, 0.725438, -0.146162], [0.64099, 3.6e-05, 0.124195, -0.14626, 0.341715, -0.076343, -0.252024, 0.118143], [0.43386, 0.062747, 0.619215, -0.583096, 0.061246, 0.280382, -0.018134, 0.290949], [0.132208, -0.294137, 0.267101, 0.248829, -0.062818, -0.466706, 0.170378, 0.138213], [0.470113, 0.038944, -0.132038, -0.191533, 0.447158, 0.062589, 0.173471, 0.438898], [-0.239833, 0.043179, -0.194886, -0.040814, 0.014864, 0.339763, -0.48274, -0.18848], [0.467242, 0.516301, 0.296157, -0.423858, 0.064564, 0.198439, -0.002103, -0.031787], [0.254574, 0.049662, -0.543139, 0.752841, -0.072429, 0.070984, 0.347065, -0.059883]], "network.2.bias": [0.302286, -0.154367, -0.024352, -0.115492, 0.008398, -0.340964, -0.208941, 0.129428], "network.4.weight": [[-0.305734, 0.595291, 0.244183, 0.110712, 0.253587, -0.18309, 0.065298, -0.40919], [0.051312, -0.212363, -0.013016, -0.065785, -0.33237, -0.126514, -0.462183, -0.263896], [0.407306, -0.407678, 0.016998, 0.218333, -0.482899, 0.132931, -0.181598, 0.465536], [-0.038846, -0.442792, -0.557324, -0.001471, -0.113312, -0.49005, -0.111081, -0.228799], [-0.388528, 0.039714, 0.517186, 0.400763, 0.10779, -0.005479, 0.688176, -0.407744], [-0.57961, 0.334155, 0.49019, -0.064573, -0.184104, 0.094798, 0.137001, -0.122121], [0.317052, -0.458054, -0.455306, -0.330941, 0.036302, 0.281027, 0.131163, 0.180939], [-0.000253, -0.515769, -0.330827, -0.25996, -0.06338, -0.043814, -0.437971, -0.065127]], "network.4.bias": [0.072631, -0.191945, 0.342742, -0.2351, 0.11471, 0.073965, 0.170745, -0.124188], "network.6.weight": [[-0.074901, 0.070114, -0.312301, -0.157931, -0.071008, -0.288308, 0.049886, 0.172754], [0.589579, 0.415608, -0.637225, -0.166998, 0.516604, 0.293903, -0.155747, -0.557779], [0.127008, -0.405731, -0.575312, 0.245187, 0.539791, 0.421289, 0.003735, -0.151738], [-0.585011, 0.190346, 0.769158, 0.218245, -0.006084, -0.173667, 0.322243, 0.079074], [0.321503, -0.031863, -0.058372, 0.081573, -0.443684, 0.024931, -0.179616, 0.139663], [-0.502307, -0.091494, -0.382998, -0.024285, -0.051637, -0.505573, -0.142321, -0.140765], [-0.144506, 0.206875, 0.311991, 0.413277, -0.153392, -0.652174, -0.084784, 0.136387], [-0.192845, -0.13748, -0.320984, -0.312359, -0.352573, 0.131092, -0.124415, -0.224111]], "network.6.bias": [-0.12631, -0.127592, -0.266434, 0.536116, 0.030487, -0.167687, 0.391925, -0.29708], "network.8.weight": [[0.179428, -0.16227, 0.320991, -0.415385, -0.310232, -0.113261, -0.113675, 0.102311], [-0.283666, 0.321829, 0.036452, -0.352223, -0.311495, -0.025129, 0.165018, 0.140647], [0.274033, -0.07929, -0.195955, -0.29537, 0.130228, -0.280096, -0.223307, -0.266612], [0.053647, -0.221031, -0.310961, 0.294099, -0.046722, -0.043358, 0.539956, 0.135396], [-0.076343, 0.601452, 0.271513, 0.162681, -0.102087, -0.050847, 0.360421, 0.102437], [0.169364, 0.461596, 0.417345, 0.26462, 0.178694, 0.47595, 0.110357, 0.244128], [0.051823, -0.249847, -0.204078, 0.462007, -0.051424, -0.149381, 0.428824, -0.079781], [0.108153, 0.056202, -0.061898, 0.148203, -0.172797, 0.336131, -0.297412, 0.193654]], "network.8.bias": [-0.068611, -0.340569, -0.281493, 0.482233, 0.125348, 0.334933, 0.497363, -0.305414], "network.10.weight": [[0.057724, 3e-06, -0.132533, -0.277238, 0.107696, -0.105948, 0.364231, -0.06491], [-0.20701, 0.094784, 0.33766, -0.108533, 0.249035, -0.405836, -0.323167, 0.059681], [0.038272, -0.160672, 0.061585, 0.640933, -0.173097, 0.182498, 0.77458, 0.030562], [-0.113139, 0.111124, 0.261131, -0.429157, 0.148971, 0.277297, 0.074888, -0.10503], [-0.072471, -0.249489, -0.207091, -0.529113, -0.359373, -0.377608, -0.231246, -0.200123], [0.341899, 0.221395, 0.330801, -0.228486, 0.218161, 0.451428, -0.577112, 0.329328], [-0.11502, 0.129524, -0.163042, -0.430216, -0.554801, 0.037492, -0.350809, 0.274373], [-0.013915, 0.083183, -0.117227, -0.48933, 0.163228, 0.338735, 0.049464, -0.184544]], "network.10.bias": [-0.040457, -0.498119, 0.168975, -0.153767, 0.073319, -0.064709, -0.0911, 0.019874], "network.12.weight": [[0.051292, -0.186763, 0.525454, -0.290161, 0.0159, -0.329539, 0.057932, -0.384491]], "network.12.bias": [-0.100311]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6813414990901947, "train_acc": 0.6, "val_loss": 0.7458683848381042, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6641608774662018, "train_acc": 0.6, "val_loss": 0.7917335033416748, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.631829559803009, "train_acc": 0.6, "val_loss": 0.6459426283836365, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.7000052034854889, "train_acc": 0.525, "val_loss": 0.48814305663108826, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4983889311552048, "train_acc": 0.8, "val_loss": 0.5359227657318115, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5587377101182938, "train_acc": 0.725, "val_loss": 0.44371578097343445, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.45427121222019196, "train_acc": 0.8, "val_loss": 0.37572357058525085, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.35287368297576904, "train_acc": 0.855, "val_loss": 0.4371490478515625, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.35763317346572876, "train_acc": 0.86, "val_loss": 0.5993155837059021, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3557186424732208, "train_acc": 0.86, "val_loss": 0.5424730181694031, "val_acc": 0.8}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7458683848381042, "final_val_loss": 0.6459426283836365, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.48814305663108826, "final_val_loss": 0.5424730181694031, "initial_val_acc": 0.86, "final_val_acc": 0.8, "best_val_acc": 0.88, "best_epoch": 6}, "improvement": 0.48, "first_improvement_epoch": 2}}
|
134
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.62, "improved_accuracy": 0.92, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1146, "learning_rate": 0.017691029126155614, "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: 4
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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[
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[
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],
[
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],
[
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]
],
"network.0.bias": [
0.429166,
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"network.2.weight": [
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[
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"network.4.weight": [
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"network.6.weight": [
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"network.8.weight": [
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[20.542824, 22.775216, 22.777333, 23.137683, 25.039140, 26.319430, 27.422391, 28.225049, 31.047034, 185.001594], [16.397149, 18.736754, 19.005985, 19.212780, 19.626911, 19.787216, 20.387551, 21.337654, 21.735952, 21.927868], [7.766322, 8.042661, 8.515275, 8.983279, 9.808197, 10.549469, 10.838233, 12.301223, 12.579977, 86.022114], [22.988944, 24.013886, 24.701674, 24.755844, 25.311217, 26.544067, 28.296469, 33.144327, 34.476786, 83.557366], [14.513950, 14.757036, 14.792571, 14.983097, 16.128402, 16.682326, 20.933863, 23.492564, 26.245308, 82.851548], [25.073351, 25.673074, 26.114107, 31.839353, 34.042182, 35.587667, 39.899222, 41.544637, 46.094593, 261.061617], [15.748397, 17.467582, 17.648931, 17.931532, 18.011723, 19.213655, 19.976934, 21.065368, 22.457946, 91.130715], [29.307381, 30.248676, 31.938223, 34.738577, 34.866913, 36.050383, 38.504781, 40.148198, 43.094241, 338.299289]]
### 2
fourier: [[22.112086, 22.181228, 22.502640, 22.913156, 22.947558, 26.904157, 27.161470, 27.213624, 32.258830, 220.897933], [5.125677, 5.945380, 7.053044, 7.179696, 7.505193, 7.577827, 8.098894, 8.204457, 8.240784, 9.877245], [14.172752, 14.546544, 14.792883, 14.846375, 15.883781, 18.901431, 20.010869, 21.502497, 28.836927, 85.069587], [9.495630, 9.836981, 10.153479, 10.905621, 11.004834, 11.528067, 12.189133, 12.334598, 15.449571, 38.495777], [13.702120, 13.924214, 15.206203, 16.456462, 16.657540, 17.516434, 17.586380, 18.101569, 19.353693, 21.519503], [24.938467, 25.845219, 26.608103, 26.920377, 27.090289, 27.258104, 29.573278, 36.083160, 37.544225, 129.694352], [34.905874, 35.111851, 39.231355, 41.907439, 42.750925, 43.290800, 46.061103, 49.914976, 49.962080, 143.258654], [38.028030, 38.888386, 39.806537, 40.981568, 43.596155, 43.663334, 49.223543, 52.045017, 61.072149, 521.105154]]
### 4
fourier: [[17.635727, 17.962483, 19.717307, 22.259333, 22.319739, 23.909554, 24.058631, 26.168668, 26.897745, 46.356942], [8.567200, 8.620449, 9.570407, 9.740585, 10.056626, 10.161253, 11.002165, 11.773387, 11.911719, 58.405613], [24.414790, 24.970014, 27.379929, 27.616452, 31.125491, 33.124695, 35.138151, 36.465280, 38.344431, 41.359653], [24.820067, 24.995971, 25.266099, 25.682364, 26.949659, 31.259122, 33.258362, 34.003371, 36.669200, 43.520404], [20.555237, 21.212979, 23.804490, 23.997356, 25.358742, 25.539457, 27.250405, 28.741424, 28.860353, 143.503841], [30.035715, 30.381475, 32.164192, 32.587969, 34.280148, 36.142474, 37.235097, 40.848901, 46.780067, 308.831591], [33.240247, 34.346465, 35.617664, 38.813701, 42.846131, 45.268276, 45.458284, 49.735803, 56.049298, 73.589211], [33.027731, 33.301186, 34.722467, 35.990970, 37.174027, 39.680788, 41.306721, 46.873142, 47.597130, 357.142186]]
### 6
fourier: [[32.179585, 33.067265, 41.586463, 44.528676, 44.813611, 47.178126, 50.098456, 50.514464, 52.683274, 55.535848], [38.943956, 42.190287, 44.500564, 48.147728, 50.046226, 52.481542, 57.217066, 63.069812, 66.726612, 240.035590], [32.826849, 35.102890, 37.950060, 41.332297, 43.225000, 44.206984, 49.032954, 54.365152, 57.711056, 185.032280], [12.964381, 14.951424, 18.522828, 19.906005, 20.053908, 21.339906, 21.745126, 22.053116, 24.005577, 96.175839], [34.721111, 36.016845, 38.982086, 39.863096, 41.633432, 45.928654, 49.057199, 53.470705, 58.399251, 215.000299], [29.780651, 30.400043, 33.046131, 36.658038, 37.531867, 39.279831, 44.122381, 47.825066, 51.315706, 159.944524], [27.002401, 28.913745, 30.872624, 32.828747, 33.875646, 36.661989, 39.372038, 43.179911, 46.278835, 166.713328], [30.283306, 31.708884, 34.304118, 34.378060, 35.960052, 40.121586, 42.112872, 46.522281, 50.679135, 180.162328]]
### 8
fourier: [[59.670462, 61.247470, 66.698708, 69.346433, 72.423316, 90.151007, 91.013038, 94.752855, 107.922377, 436.701200]]
## 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: 4
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: [[20.542824, 22.775216, 22.777333, 23.137683, 25.039140, 26.319430, 27.422391, 28.225049, 31.047034, 185.001594], [16.397149, 18.736754, 19.005985, 19.212780, 19.626911, 19.787216, 20.387551, 21.337654, 21.735952, 21.927868], [7.766322, 8.042661, 8.515275, 8.983279, 9.808197, 10.549469, 10.838233, 12.301223, 12.579977, 86.022114], [22.988944, 24.013886, 24.701674, 24.755844, 25.311217, 26.544067, 28.296469, 33.144327, 34.476786, 83.557366], [14.513950, 14.757036, 14.792571, 14.983097, 16.128402, 16.682326, 20.933863, 23.492564, 26.245308, 82.851548], [25.073351, 25.673074, 26.114107, 31.839353, 34.042182, 35.587667, 39.899222, 41.544637, 46.094593, 261.061617], [15.748397, 17.467582, 17.648931, 17.931532, 18.011723, 19.213655, 19.976934, 21.065368, 22.457946, 91.130715], [29.307381, 30.248676, 31.938223, 34.738577, 34.866913, 36.050383, 38.504781, 40.148198, 43.094241, 338.299289]]
### 2
fourier: [[22.112086, 22.181228, 22.502640, 22.913156, 22.947558, 26.904157, 27.161470, 27.213624, 32.258830, 220.897933], [5.125677, 5.945380, 7.053044, 7.179696, 7.505193, 7.577827, 8.098894, 8.204457, 8.240784, 9.877245], [14.172752, 14.546544, 14.792883, 14.846375, 15.883781, 18.901431, 20.010869, 21.502497, 28.836927, 85.069587], [9.495630, 9.836981, 10.153479, 10.905621, 11.004834, 11.528067, 12.189133, 12.334598, 15.449571, 38.495777], [13.702120, 13.924214, 15.206203, 16.456462, 16.657540, 17.516434, 17.586380, 18.101569, 19.353693, 21.519503], [24.938467, 25.845219, 26.608103, 26.920377, 27.090289, 27.258104, 29.573278, 36.083160, 37.544225, 129.694352], [34.905874, 35.111851, 39.231355, 41.907439, 42.750925, 43.290800, 46.061103, 49.914976, 49.962080, 143.258654], [38.028030, 38.888386, 39.806537, 40.981568, 43.596155, 43.663334, 49.223543, 52.045017, 61.072149, 521.105154]]
### 4
fourier: [[17.635727, 17.962483, 19.717307, 22.259333, 22.319739, 23.909554, 24.058631, 26.168668, 26.897745, 46.356942], [8.567200, 8.620449, 9.570407, 9.740585, 10.056626, 10.161253, 11.002165, 11.773387, 11.911719, 58.405613], [24.414790, 24.970014, 27.379929, 27.616452, 31.125491, 33.124695, 35.138151, 36.465280, 38.344431, 41.359653], [24.820067, 24.995971, 25.266099, 25.682364, 26.949659, 31.259122, 33.258362, 34.003371, 36.669200, 43.520404], [20.555237, 21.212979, 23.804490, 23.997356, 25.358742, 25.539457, 27.250405, 28.741424, 28.860353, 143.503841], [30.035715, 30.381475, 32.164192, 32.587969, 34.280148, 36.142474, 37.235097, 40.848901, 46.780067, 308.831591], [33.240247, 34.346465, 35.617664, 38.813701, 42.846131, 45.268276, 45.458284, 49.735803, 56.049298, 73.589211], [33.027731, 33.301186, 34.722467, 35.990970, 37.174027, 39.680788, 41.306721, 46.873142, 47.597130, 357.142186]]
### 6
fourier: [[32.179585, 33.067265, 41.586463, 44.528676, 44.813611, 47.178126, 50.098456, 50.514464, 52.683274, 55.535848], [38.943956, 42.190287, 44.500564, 48.147728, 50.046226, 52.481542, 57.217066, 63.069812, 66.726612, 240.035590], [32.826849, 35.102890, 37.950060, 41.332297, 43.225000, 44.206984, 49.032954, 54.365152, 57.711056, 185.032280], [12.964381, 14.951424, 18.522828, 19.906005, 20.053908, 21.339906, 21.745126, 22.053116, 24.005577, 96.175839], [34.721111, 36.016845, 38.982086, 39.863096, 41.633432, 45.928654, 49.057199, 53.470705, 58.399251, 215.000299], [29.780651, 30.400043, 33.046131, 36.658038, 37.531867, 39.279831, 44.122381, 47.825066, 51.315706, 159.944524], [27.002401, 28.913745, 30.872624, 32.828747, 33.875646, 36.661989, 39.372038, 43.179911, 46.278835, 166.713328], [30.283306, 31.708884, 34.304118, 34.378060, 35.960052, 40.121586, 42.112872, 46.522281, 50.679135, 180.162328]]
### 8
fourier: [[59.670462, 61.247470, 66.698708, 69.346433, 72.423316, 90.151007, 91.013038, 94.752855, 107.922377, 436.701200]]
## 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": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.490205, 0.010134, 0.457609, 0.653012, -0.11211], [-0.055306, -0.210811, -0.201347, 0.613088, 0.026465], [0.054686, -0.276926, -0.061496, -0.118129, 0.018655], [0.710014, -0.001804, 0.221375, -0.170092, -0.127385], [-0.476501, 0.593332, 0.05038, -0.083724, -0.146068], [0.569897, 0.702999, -0.07697, 0.363663, -0.164366], [-0.193727, -0.052085, 0.101005, 0.337905, 0.481181], [0.588477, 0.111335, 0.715986, 0.346469, -0.091232]], "network.0.bias": [0.429166, -0.255734, -0.160462, 0.107563, 0.686823, 0.494105, -0.180506, 0.697598], "network.2.weight": [[0.516159, 0.13152, -0.193116, -0.373371, 0.302124, -0.213943, 0.284183, 0.330571], [-0.016289, 0.090133, -0.139119, 0.352888, 0.060944, -0.012755, 0.046562, -0.024757], [-0.45299, -0.221176, -0.006665, 0.012396, 0.316922, 0.329576, -0.074744, -0.295862], [0.062286, 0.182082, -0.112618, -0.276713, -0.017044, -0.01124, 0.279351, 0.01892], [-0.049709, -0.193235, -0.341223, 0.005591, 0.556714, 0.198006, -0.44501, -0.155367], [0.292519, 0.49725, -0.543029, -0.614602, 0.174165, 0.320687, 0.473943, -0.191613], [-0.447028, -0.130358, 0.005868, 0.504674, -0.394033, 0.429503, -0.176773, 0.376147], [0.481598, 0.393264, -0.498391, 0.106974, 0.488578, 0.600501, -0.022578, 0.468089]], "network.2.bias": [0.471126, -0.271512, 0.039681, 0.159703, 0.294498, 0.27465, 0.013644, 0.520807], "network.4.weight": [[-0.199639, -0.296052, -0.03684, 0.116253, -0.078954, -0.202527, 0.381094, 0.134858], [-0.128443, -0.205527, 0.103899, -0.197529, 0.019806, -0.121566, 0.104042, -0.057471], [-0.3002, 0.031496, 0.046999, -0.397484, 0.075284, -0.131284, 0.529547, 0.099993], [-0.172523, -0.220391, -0.478851, -0.505068, 0.164455, -0.352639, 0.484412, 0.110296], [0.363066, -0.01627, 0.31709, -0.498589, 0.284756, 0.045915, -0.331684, -0.31792], [0.419557, -0.459583, 0.339414, 0.137464, 0.504606, 0.295535, -0.401049, 0.411159], [-0.527434, -0.136993, -0.398181, -0.163197, -0.262392, -0.55078, 0.451929, 0.410783], [0.667009, -0.191375, -0.263143, 0.152559, 0.215985, 0.3965, -0.285798, 0.340163]], "network.4.bias": [-0.046285, 0.128944, -0.033695, -0.073086, -0.073126, -0.013367, 0.096914, 0.070104], "network.6.weight": [[0.435158, -0.319929, 0.252395, 0.341834, 0.401419, -0.098158, 0.430173, -0.092175], [-0.152563, -0.471864, -0.334918, -0.249625, -0.175336, 0.189153, -0.221575, 0.593252], [-0.42024, -0.25015, -0.480632, -0.003678, 0.099543, 0.447707, -0.08595, 0.20068], [0.191338, 0.116489, -0.036267, -0.301418, 0.166698, 0.140279, -0.36952, -0.083722], [-0.011164, -0.625189, 0.035598, -0.344597, -0.142474, 0.436007, -0.328766, 0.316713], [-0.506105, -0.216534, -0.120756, -0.318478, -0.196169, 0.442461, -0.034156, 0.109995], [-0.299634, -0.437483, -0.221772, 0.141459, -0.278336, 0.206993, -0.229623, 0.3563], [-0.244961, -0.27379, -0.194667, -0.136328, -0.477542, 0.483753, -0.077427, 0.198386]], "network.6.bias": [-0.05608, 0.496115, 0.514282, -0.583011, 0.270787, 0.517379, 0.250741, 0.033887], "network.8.weight": [[0.476782, -0.566967, -0.241898, 0.233363, -0.267683, -0.324543, -0.287118, -0.429865]], "network.8.bias": [0.099761]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7234993875026703, "train_acc": 0.44, "val_loss": 0.705362856388092, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7083714008331299, "train_acc": 0.44, "val_loss": 0.6813387870788574, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.679712325334549, "train_acc": 0.47, "val_loss": 0.6396937370300293, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.609223872423172, "train_acc": 0.725, "val_loss": 0.5663413405418396, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5070323795080185, "train_acc": 0.865, "val_loss": 0.4540989398956299, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.38443368673324585, "train_acc": 0.935, "val_loss": 0.34228941798210144, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.25998543947935104, "train_acc": 0.94, "val_loss": 0.2733999192714691, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.19956665486097336, "train_acc": 0.94, "val_loss": 0.260690838098526, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.20474674552679062, "train_acc": 0.94, "val_loss": 0.2725462317466736, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.20702488720417023, "train_acc": 0.94, "val_loss": 0.24919289350509644, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.16447628661990166, "train_acc": 0.945, "val_loss": 0.22306598722934723, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.17102908343076706, "train_acc": 0.945, "val_loss": 0.20293393731117249, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.15503240376710892, "train_acc": 0.945, "val_loss": 0.19750185310840607, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.705362856388092, "final_val_loss": 0.6396937370300293, "initial_val_acc": 0.46, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5663413405418396, "final_val_loss": 0.19750185310840607, "initial_val_acc": 0.76, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 9}, "improvement": 0.30000000000000004, "first_improvement_epoch": 2}}
|
135
|
{"target_pattern": "increasing_pairs", "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": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6740, "learning_rate": 0.06371344327572513, "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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.391656,
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0.334335,
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]
],
"network.10.bias": [
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],
"network.12.weight": [
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],
"network.12.bias": [
0.164263
]
}
## Activation Signature
### 0
fourier: [[25.734190, 26.372998, 26.572191, 26.796722, 26.852822, 28.453819, 28.739911, 31.646976, 38.111645, 42.777463], [13.071108, 14.623388, 14.968278, 15.455405, 15.861622, 16.832517, 17.803376, 19.225145, 19.776263, 44.905423], [20.577958, 21.127153, 23.804021, 28.758476, 30.229564, 34.782456, 35.266897, 36.283824, 38.650948, 190.320236], [25.169123, 25.252671, 25.642054, 28.285364, 33.194972, 33.287695, 34.066100, 34.516377, 41.056560, 278.577564], [29.553166, 29.759376, 30.327000, 31.149225, 34.067527, 34.467937, 36.526835, 36.755392, 40.418820, 166.245129], [25.150038, 25.797975, 29.799796, 29.805284, 30.234919, 30.693520, 31.288036, 32.458232, 35.329096, 242.028491]]
### 2
fourier: [[7.010383, 7.198163, 7.237573, 7.690880, 8.443481, 9.415820, 9.500617, 10.000554, 10.537725, 10.543749], [6.018471, 6.087817, 6.636709, 6.913776, 7.254546, 7.420015, 7.420782, 7.696844, 8.017856, 10.361152], [15.196105, 15.393640, 15.394830, 16.283759, 18.699441, 19.379369, 19.726618, 19.890232, 24.712073, 182.695202], [13.369902, 13.547488, 14.197121, 14.521233, 16.825631, 18.078824, 18.130520, 18.630383, 19.901000, 97.434931], [7.615917, 7.850458, 8.371230, 8.428475, 8.575967, 8.847655, 9.108541, 9.476201, 11.087044, 138.591173], [18.142401, 18.401201, 20.460888, 21.383494, 21.445210, 24.243328, 24.571578, 25.170796, 25.201296, 203.646265]]
### 4
fourier: [[6.850228, 7.119780, 7.401038, 8.340672, 9.431424, 9.499156, 9.834241, 10.393083, 10.689786, 12.521656], [7.412935, 7.773368, 8.270514, 8.391576, 8.498723, 9.369496, 9.837045, 11.125059, 11.476832, 98.453191], [9.618853, 9.736631, 10.658256, 11.527136, 13.333631, 13.449090, 13.574292, 13.932722, 14.767571, 85.096720], [10.424948, 10.547697, 10.643758, 10.685188, 11.744069, 12.683836, 13.665730, 15.194806, 15.474667, 175.254548], [10.630382, 11.165704, 12.350847, 12.474155, 12.577477, 13.927889, 14.462089, 16.607136, 16.648213, 176.541444], [13.113356, 13.154315, 13.397473, 15.066928, 16.577161, 17.813462, 17.954731, 19.118797, 22.388251, 120.516909]]
### 6
fourier: [[11.217812, 11.419682, 11.449239, 12.534575, 13.109371, 13.581312, 13.726885, 15.788663, 18.336889, 22.878955], [6.974001, 7.554203, 8.106474, 8.158932, 8.831743, 9.170593, 9.751083, 10.739927, 10.826265, 139.985563], [4.713620, 5.309209, 5.842316, 6.738257, 7.024443, 7.348872, 7.525427, 7.666197, 8.033432, 79.064067], [6.490136, 6.588257, 6.744247, 7.042006, 7.119662, 8.099116, 8.908141, 8.917889, 9.205595, 110.581627], [3.053250, 3.345586, 3.373509, 3.831557, 3.835469, 3.952636, 4.401436, 5.102878, 5.470855, 67.216693], [4.000304, 4.013882, 4.163112, 4.429212, 4.934657, 5.217798, 5.503025, 6.324249, 6.439358, 79.096465]]
### 8
fourier: [[3.515698, 3.606004, 3.624427, 3.838842, 4.241396, 4.258960, 4.270101, 5.392150, 6.384728, 36.980006], [4.978512, 5.106393, 5.132481, 5.436111, 6.006159, 6.031031, 6.046809, 7.635721, 9.041290, 40.303172], [0.350709, 0.359718, 0.361555, 0.382944, 0.423101, 0.424853, 0.425965, 0.537895, 0.636910, 16.752684], [3.505931, 3.595985, 3.614358, 3.828177, 4.229612, 4.247127, 4.258238, 5.377170, 6.366990, 27.822869], [2.281464, 2.340067, 2.352023, 2.491164, 2.752396, 2.763794, 2.771024, 3.499162, 4.143282, 19.885679], [4.042405, 4.146240, 4.167423, 4.413961, 4.876824, 4.897019, 4.909830, 6.199979, 7.341261, 32.422515]]
### 10
fourier: [[0.704849, 0.736596, 0.767444, 0.780220, 0.812500, 0.826821, 0.856602, 1.017833, 1.256800, 45.352114], [4.040446, 4.055236, 4.193797, 4.334725, 4.445998, 4.572066, 4.627315, 5.737327, 7.085878, 70.813446], [1.109678, 1.122722, 1.178982, 1.346319, 1.391925, 1.403752, 1.493285, 1.495050, 1.652032, 52.651272], [4.300106, 4.303911, 4.420793, 4.530958, 4.783418, 4.823188, 4.878481, 6.044936, 7.515253, 70.271656], [4.872672, 4.894841, 5.055512, 5.216664, 5.380316, 5.511992, 5.580487, 6.911663, 8.545655, 77.416465], [4.616229, 4.666413, 4.880013, 4.935760, 5.194770, 5.348046, 5.387827, 5.657748, 6.748787, 8.191162]]
### 12
fourier: [[6.892945, 6.952661, 7.177689, 7.252378, 7.815996, 8.027211, 8.051463, 9.729047, 12.116611, 76.211735]]
## 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: 6
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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]
],
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"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[25.734190, 26.372998, 26.572191, 26.796722, 26.852822, 28.453819, 28.739911, 31.646976, 38.111645, 42.777463], [13.071108, 14.623388, 14.968278, 15.455405, 15.861622, 16.832517, 17.803376, 19.225145, 19.776263, 44.905423], [20.577958, 21.127153, 23.804021, 28.758476, 30.229564, 34.782456, 35.266897, 36.283824, 38.650948, 190.320236], [25.169123, 25.252671, 25.642054, 28.285364, 33.194972, 33.287695, 34.066100, 34.516377, 41.056560, 278.577564], [29.553166, 29.759376, 30.327000, 31.149225, 34.067527, 34.467937, 36.526835, 36.755392, 40.418820, 166.245129], [25.150038, 25.797975, 29.799796, 29.805284, 30.234919, 30.693520, 31.288036, 32.458232, 35.329096, 242.028491]]
### 2
fourier: [[7.010383, 7.198163, 7.237573, 7.690880, 8.443481, 9.415820, 9.500617, 10.000554, 10.537725, 10.543749], [6.018471, 6.087817, 6.636709, 6.913776, 7.254546, 7.420015, 7.420782, 7.696844, 8.017856, 10.361152], [15.196105, 15.393640, 15.394830, 16.283759, 18.699441, 19.379369, 19.726618, 19.890232, 24.712073, 182.695202], [13.369902, 13.547488, 14.197121, 14.521233, 16.825631, 18.078824, 18.130520, 18.630383, 19.901000, 97.434931], [7.615917, 7.850458, 8.371230, 8.428475, 8.575967, 8.847655, 9.108541, 9.476201, 11.087044, 138.591173], [18.142401, 18.401201, 20.460888, 21.383494, 21.445210, 24.243328, 24.571578, 25.170796, 25.201296, 203.646265]]
### 4
fourier: [[6.850228, 7.119780, 7.401038, 8.340672, 9.431424, 9.499156, 9.834241, 10.393083, 10.689786, 12.521656], [7.412935, 7.773368, 8.270514, 8.391576, 8.498723, 9.369496, 9.837045, 11.125059, 11.476832, 98.453191], [9.618853, 9.736631, 10.658256, 11.527136, 13.333631, 13.449090, 13.574292, 13.932722, 14.767571, 85.096720], [10.424948, 10.547697, 10.643758, 10.685188, 11.744069, 12.683836, 13.665730, 15.194806, 15.474667, 175.254548], [10.630382, 11.165704, 12.350847, 12.474155, 12.577477, 13.927889, 14.462089, 16.607136, 16.648213, 176.541444], [13.113356, 13.154315, 13.397473, 15.066928, 16.577161, 17.813462, 17.954731, 19.118797, 22.388251, 120.516909]]
### 6
fourier: [[11.217812, 11.419682, 11.449239, 12.534575, 13.109371, 13.581312, 13.726885, 15.788663, 18.336889, 22.878955], [6.974001, 7.554203, 8.106474, 8.158932, 8.831743, 9.170593, 9.751083, 10.739927, 10.826265, 139.985563], [4.713620, 5.309209, 5.842316, 6.738257, 7.024443, 7.348872, 7.525427, 7.666197, 8.033432, 79.064067], [6.490136, 6.588257, 6.744247, 7.042006, 7.119662, 8.099116, 8.908141, 8.917889, 9.205595, 110.581627], [3.053250, 3.345586, 3.373509, 3.831557, 3.835469, 3.952636, 4.401436, 5.102878, 5.470855, 67.216693], [4.000304, 4.013882, 4.163112, 4.429212, 4.934657, 5.217798, 5.503025, 6.324249, 6.439358, 79.096465]]
### 8
fourier: [[3.515698, 3.606004, 3.624427, 3.838842, 4.241396, 4.258960, 4.270101, 5.392150, 6.384728, 36.980006], [4.978512, 5.106393, 5.132481, 5.436111, 6.006159, 6.031031, 6.046809, 7.635721, 9.041290, 40.303172], [0.350709, 0.359718, 0.361555, 0.382944, 0.423101, 0.424853, 0.425965, 0.537895, 0.636910, 16.752684], [3.505931, 3.595985, 3.614358, 3.828177, 4.229612, 4.247127, 4.258238, 5.377170, 6.366990, 27.822869], [2.281464, 2.340067, 2.352023, 2.491164, 2.752396, 2.763794, 2.771024, 3.499162, 4.143282, 19.885679], [4.042405, 4.146240, 4.167423, 4.413961, 4.876824, 4.897019, 4.909830, 6.199979, 7.341261, 32.422515]]
### 10
fourier: [[0.704849, 0.736596, 0.767444, 0.780220, 0.812500, 0.826821, 0.856602, 1.017833, 1.256800, 45.352114], [4.040446, 4.055236, 4.193797, 4.334725, 4.445998, 4.572066, 4.627315, 5.737327, 7.085878, 70.813446], [1.109678, 1.122722, 1.178982, 1.346319, 1.391925, 1.403752, 1.493285, 1.495050, 1.652032, 52.651272], [4.300106, 4.303911, 4.420793, 4.530958, 4.783418, 4.823188, 4.878481, 6.044936, 7.515253, 70.271656], [4.872672, 4.894841, 5.055512, 5.216664, 5.380316, 5.511992, 5.580487, 6.911663, 8.545655, 77.416465], [4.616229, 4.666413, 4.880013, 4.935760, 5.194770, 5.348046, 5.387827, 5.657748, 6.748787, 8.191162]]
### 12
fourier: [[6.892945, 6.952661, 7.177689, 7.252378, 7.815996, 8.027211, 8.051463, 9.729047, 12.116611, 76.211735]]
## 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": [25.734190071040363, 26.372997701332316, 26.57219144257815, 26.79672164188756, 26.852822097458453, 28.453819238734535, 28.739910838746646, 31.64697597940359, 38.11164546293546, 42.77746281027794]}, "1": {"fourier": [13.071108281038503, 14.623388406460064, 14.96827825424311, 15.45540451880781, 15.861621544436732, 16.832516981933466, 17.803376357034328, 19.22514523184598, 19.776263093072465, 44.90542268753052]}, "2": {"fourier": [20.57795839189775, 21.127153312474523, 23.80402068872116, 28.758475979980826, 30.229564371297673, 34.782455503461435, 35.266896904854875, 36.28382436866958, 38.65094809524381, 190.32023629546165]}, "3": {"fourier": [25.16912256346927, 25.25267113040964, 25.64205366238153, 28.285363557749207, 33.19497223680694, 33.287694846316676, 34.066099511625225, 34.516377201958086, 41.056559795190346, 278.5775635242462]}, "4": {"fourier": [29.553166232598265, 29.759375812829756, 30.326999791712225, 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5.05551178817858, 5.216664429734741, 5.380315882123575, 5.511992060641018, 5.5804870595354945, 6.911662893391986, 8.54565507137579, 77.41646532714367]}, "5": {"fourier": [4.616228890543623, 4.666412983153085, 4.880013410339703, 4.9357600103840475, 5.194770472994491, 5.348045567450135, 5.387827228817486, 5.657748222351074, 6.7487865868096675, 8.191162276493124]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [6.892945338134918, 6.95266140934131, 7.177689040606769, 7.2523778999699555, 7.815995649680929, 8.02721118127358, 8.051463276787533, 9.729047314992963, 12.11661148683741, 76.21173529326916]}}, "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": 6, "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": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.712073, -0.163261, -0.13102, 0.190125, 0.668982], [0.214126, -0.460788, 0.186816, 0.090221, -0.471547], [-0.268912, -0.085267, -0.449584, 0.132109, -0.640552], [-0.131443, 0.774969, 0.645298, 0.024039, 0.064963], [-0.372553, -0.512759, -0.596133, -0.128228, 0.48318], [-0.155997, 0.340644, -0.462928, -0.673131, -0.412445]], "network.0.bias": [-0.250775, 0.072103, -0.178803, 0.367087, 0.475125, -0.196626], "network.2.weight": [[-0.245343, 0.204276, -0.229205, 0.168289, -0.328904, 0.114404], [-0.160525, -0.174069, 0.075661, 0.197923, 0.033118, -0.404737], [-0.226272, -0.517867, -0.039, -0.593704, 0.084022, -0.070224], [0.786695, -0.324195, -0.089865, 0.279293, 0.46407, -0.211536], [0.18008, -0.586493, 0.08749, -0.27783, -0.330129, -0.259981], [-0.412471, 0.295803, 0.190585, 0.646164, 0.0703, -0.507141]], "network.2.bias": [-0.407647, -0.397497, -0.01441, -0.158569, -0.596857, 0.386844], "network.4.weight": [[-0.384585, 0.226371, 0.340748, 0.551981, 0.275516, -0.165603], [-0.316592, -0.209616, -0.399507, -0.302166, -0.300761, -0.242659], [-0.424158, -0.020406, -0.231627, 0.762158, -0.358525, 0.046185], [0.010262, -0.052876, 0.276077, 0.517145, -0.050669, 0.416444], [0.195324, -0.521635, 0.041276, -0.347447, -0.090575, -0.475778], [0.29768, 0.195, -0.225682, -0.439371, -0.148537, 0.63949]], "network.4.bias": [-0.303362, -0.099595, 0.1041, 0.449128, -0.416644, 0.253928], "network.6.weight": [[0.357599, -0.27904, 0.490851, 0.109652, 0.113261, -0.733667], [-0.450309, -0.148518, 0.179898, -0.295139, 0.260353, -0.526749], [-0.146859, 0.15595, -0.311964, -0.166302, -0.179349, 0.134161], [0.41565, -0.081007, -0.257576, -0.570815, -0.019943, 0.073631], [-0.392624, -0.045079, 0.047638, -0.141579, -0.400276, -0.204254], [-0.23732, -0.130186, 0.053612, -0.176599, -0.19548, -0.280256]], "network.6.bias": [0.122726, -0.327714, -0.424012, -0.049755, -0.159284, -0.148139], "network.8.weight": [[-0.399015, -0.402045, 0.351539, 0.174847, -0.141994, 0.2787], [0.565037, 0.074631, -0.106327, -0.15434, 0.075071, 0.488132], [-0.039804, -0.150027, -0.25871, -0.305888, -0.013128, 0.379754], [-0.397906, 0.326702, -0.327782, -0.245642, -0.30348, 0.037539], [0.258935, -0.052764, -0.242244, -0.155057, 0.156383, 0.057609], [-0.458794, -0.263748, -0.195773, -0.003525, 0.574538, 0.172069]], "network.8.bias": [0.523491, 0.288359, -0.174908, -0.196854, -0.294024, 0.489722], "network.10.weight": [[-0.381671, 0.015969, -0.28842, 0.177442, 0.073764, 0.121686], [0.599483, -0.164699, -0.076705, -0.272578, -0.420203, 0.706379], [-0.479728, -0.42423, 0.322531, 0.19347, -0.231795, -0.282896], [0.575567, -0.298732, 0.023871, -0.17799, -0.038448, 0.723751], [0.74868, -0.256936, 0.252095, 0.008078, -0.346167, 0.768353], [-0.391656, 0.452065, 0.373235, -0.10512, 0.334335, -0.554895]], "network.10.bias": [-0.391821, 0.30656, -0.052276, 0.35213, 0.325473, 0.259653], "network.12.weight": [[0.373271, -0.279192, 0.110787, -0.475954, -0.534158, 0.454717]], "network.12.bias": [0.164263]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6930419206619263, "train_acc": 0.475, "val_loss": 0.8074295520782471, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6588725745677948, "train_acc": 0.605, "val_loss": 0.7855169773101807, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6495371162891388, "train_acc": 0.605, "val_loss": 0.744067370891571, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6453626453876495, "train_acc": 0.53, "val_loss": 0.5408743023872375, "val_acc": 0.96}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.571252167224884, "train_acc": 0.78, "val_loss": 0.37118491530418396, "val_acc": 0.98}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.44293393194675446, "train_acc": 0.83, "val_loss": 0.47252318263053894, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.385356143116951, "train_acc": 0.855, "val_loss": 0.20214933156967163, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3876447528600693, "train_acc": 0.875, "val_loss": 0.5072917938232422, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3777856081724167, "train_acc": 0.865, "val_loss": 0.48885321617126465, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.31711287796497345, "train_acc": 0.885, "val_loss": 0.24680735170841217, "val_acc": 0.94}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.8074295520782471, "final_val_loss": 0.744067370891571, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.5408743023872375, "final_val_loss": 0.24680735170841217, "initial_val_acc": 0.96, "final_val_acc": 0.94, "best_val_acc": 0.98, "best_epoch": 4}, "improvement": 0.6, "first_improvement_epoch": 2}}
|
136
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.8, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2983, "learning_rate": 0.0406444742312856, "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: 5
Neurons per Layer: 5
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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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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"network.4.bias": [
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"network.6.weight": [
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[
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[
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[
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0.095203,
0.279496,
-0.137893
],
[
0.301596,
-0.05409,
-0.097181,
-0.050259,
0.410115
]
],
"network.6.bias": [
0.362129,
0.09094,
0.379006,
0.503587,
0.435331
],
"network.8.weight": [
[
-0.02553,
0.181569,
-0.274188,
0.08539,
0.141512
],
[
0.129673,
0.440222,
0.505886,
-0.201782,
0.179363
],
[
0.034167,
0.112713,
-0.346415,
-0.231999,
-0.409655
],
[
-0.358635,
0.083739,
-0.246216,
0.211323,
0.211083
],
[
0.43482,
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0.166831,
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0.000961
]
],
"network.8.bias": [
-0.311265,
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0.276254,
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0.081658
],
"network.10.weight": [
[
-0.08148,
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0.161589,
0.033434,
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],
"network.10.bias": [
0.258215
]
}
## Activation Signature
### 0
fourier: [[12.467442, 13.239437, 13.398982, 14.707708, 16.310941, 17.097797, 17.334285, 18.620207, 19.358900, 70.738136], [23.866625, 24.373061, 24.889496, 25.613140, 28.580797, 29.432583, 31.587920, 32.643189, 35.036456, 151.067073], [16.097596, 16.254735, 17.183803, 17.186053, 17.326774, 17.693976, 18.738439, 18.804653, 20.010966, 109.716766], [15.585516, 15.644399, 16.020885, 16.179317, 16.248820, 16.278575, 16.358491, 21.787259, 26.135312, 188.342641], [17.201823, 17.592860, 18.524442, 19.480724, 20.398187, 23.115318, 26.628414, 26.892667, 26.922866, 127.278600]]
### 2
fourier: [[12.248561, 12.568564, 12.570514, 12.894611, 12.907423, 13.755912, 14.101544, 14.548330, 14.595440, 14.759154], [7.656059, 7.669366, 8.228267, 8.872580, 8.883643, 9.001631, 9.686166, 9.938859, 11.399910, 93.070448], [5.416298, 6.029505, 6.264194, 6.537466, 6.709687, 7.193558, 7.481735, 8.186282, 9.347169, 22.925097], [7.964721, 8.797436, 8.890287, 8.901693, 9.009682, 9.127974, 9.362296, 9.778666, 11.459132, 11.880456], [8.913286, 9.535809, 9.598281, 9.729181, 9.735119, 10.002892, 10.039448, 11.335164, 11.373402, 12.490842]]
### 4
fourier: [[1.891776, 1.901415, 1.928276, 1.961592, 2.078848, 2.273274, 2.480010, 2.535975, 2.762435, 2.854828], [4.922981, 5.470358, 5.624648, 6.045023, 6.571297, 6.608938, 6.790292, 7.399099, 8.226210, 36.442513], [2.530216, 2.692116, 2.829800, 2.929071, 3.113587, 3.407734, 3.519398, 4.119546, 4.841727, 27.935439], [2.635168, 2.644824, 2.741234, 2.765252, 2.907092, 2.952861, 3.341957, 4.874214, 5.189171, 16.765789], [7.556123, 8.118517, 8.211846, 8.950918, 9.586920, 10.128529, 10.485542, 11.126091, 12.733346, 63.584896]]
### 6
fourier: [[3.325997, 3.558014, 3.654513, 3.867597, 4.270862, 4.359663, 4.553794, 4.656493, 5.452891, 50.358252], [3.931424, 4.201231, 4.277821, 4.521507, 5.022931, 5.153583, 5.417807, 5.483131, 6.529883, 26.853625], [5.428806, 5.730895, 5.835031, 6.126038, 6.851334, 7.054713, 7.309637, 7.531937, 8.953935, 55.684494], [1.337986, 1.447936, 1.494974, 1.584986, 1.737904, 1.834238, 1.861747, 2.148943, 2.455358, 36.521645], [2.760905, 2.972814, 3.054117, 3.286390, 3.538992, 3.792845, 3.808504, 4.461190, 5.004982, 61.967587]]
### 8
fourier: [[0.577311, 0.588305, 0.619868, 0.623494, 0.722469, 0.724155, 0.735873, 0.751653, 0.901955, 27.794117], [5.658695, 6.042958, 6.134403, 6.480369, 7.214910, 7.435290, 7.726037, 8.028361, 9.484755, 67.738090], [2.160577, 2.291099, 2.312430, 2.480998, 2.708266, 2.862633, 2.912333, 3.178996, 3.682645, 23.564895], [1.885459, 1.989834, 2.072226, 2.137740, 2.418292, 2.437626, 2.528862, 2.585292, 3.055117, 46.050935], [5.106597, 5.474134, 5.595069, 5.885941, 6.570618, 6.721834, 7.049836, 7.211060, 8.552946, 37.483040]]
### 10
fourier: [[3.193630, 3.416466, 3.479125, 3.668246, 4.089069, 4.199740, 4.382685, 4.521220, 5.351119, 8.192722]]
## 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: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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],
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],
[
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0.379712
],
[
-0.087005,
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],
[
-0.345871,
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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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0.075503,
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],
[
0.14367,
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]
],
"network.2.bias": [
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0.226644,
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],
"network.4.weight": [
[
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],
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],
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[
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]
],
"network.4.bias": [
0.072736,
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],
"network.6.weight": [
[
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],
[
-0.084852,
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],
[
-0.189916,
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],
[
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[
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]
],
"network.6.bias": [
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],
"network.8.weight": [
[
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],
[
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[
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[
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[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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0.033434,
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],
"network.10.bias": [
0.258215
]
}
## Activation Signature
### 0
fourier: [[12.467442, 13.239437, 13.398982, 14.707708, 16.310941, 17.097797, 17.334285, 18.620207, 19.358900, 70.738136], [23.866625, 24.373061, 24.889496, 25.613140, 28.580797, 29.432583, 31.587920, 32.643189, 35.036456, 151.067073], [16.097596, 16.254735, 17.183803, 17.186053, 17.326774, 17.693976, 18.738439, 18.804653, 20.010966, 109.716766], [15.585516, 15.644399, 16.020885, 16.179317, 16.248820, 16.278575, 16.358491, 21.787259, 26.135312, 188.342641], [17.201823, 17.592860, 18.524442, 19.480724, 20.398187, 23.115318, 26.628414, 26.892667, 26.922866, 127.278600]]
### 2
fourier: [[12.248561, 12.568564, 12.570514, 12.894611, 12.907423, 13.755912, 14.101544, 14.548330, 14.595440, 14.759154], [7.656059, 7.669366, 8.228267, 8.872580, 8.883643, 9.001631, 9.686166, 9.938859, 11.399910, 93.070448], [5.416298, 6.029505, 6.264194, 6.537466, 6.709687, 7.193558, 7.481735, 8.186282, 9.347169, 22.925097], [7.964721, 8.797436, 8.890287, 8.901693, 9.009682, 9.127974, 9.362296, 9.778666, 11.459132, 11.880456], [8.913286, 9.535809, 9.598281, 9.729181, 9.735119, 10.002892, 10.039448, 11.335164, 11.373402, 12.490842]]
### 4
fourier: [[1.891776, 1.901415, 1.928276, 1.961592, 2.078848, 2.273274, 2.480010, 2.535975, 2.762435, 2.854828], [4.922981, 5.470358, 5.624648, 6.045023, 6.571297, 6.608938, 6.790292, 7.399099, 8.226210, 36.442513], [2.530216, 2.692116, 2.829800, 2.929071, 3.113587, 3.407734, 3.519398, 4.119546, 4.841727, 27.935439], [2.635168, 2.644824, 2.741234, 2.765252, 2.907092, 2.952861, 3.341957, 4.874214, 5.189171, 16.765789], [7.556123, 8.118517, 8.211846, 8.950918, 9.586920, 10.128529, 10.485542, 11.126091, 12.733346, 63.584896]]
### 6
fourier: [[3.325997, 3.558014, 3.654513, 3.867597, 4.270862, 4.359663, 4.553794, 4.656493, 5.452891, 50.358252], [3.931424, 4.201231, 4.277821, 4.521507, 5.022931, 5.153583, 5.417807, 5.483131, 6.529883, 26.853625], [5.428806, 5.730895, 5.835031, 6.126038, 6.851334, 7.054713, 7.309637, 7.531937, 8.953935, 55.684494], [1.337986, 1.447936, 1.494974, 1.584986, 1.737904, 1.834238, 1.861747, 2.148943, 2.455358, 36.521645], [2.760905, 2.972814, 3.054117, 3.286390, 3.538992, 3.792845, 3.808504, 4.461190, 5.004982, 61.967587]]
### 8
fourier: [[0.577311, 0.588305, 0.619868, 0.623494, 0.722469, 0.724155, 0.735873, 0.751653, 0.901955, 27.794117], [5.658695, 6.042958, 6.134403, 6.480369, 7.214910, 7.435290, 7.726037, 8.028361, 9.484755, 67.738090], [2.160577, 2.291099, 2.312430, 2.480998, 2.708266, 2.862633, 2.912333, 3.178996, 3.682645, 23.564895], [1.885459, 1.989834, 2.072226, 2.137740, 2.418292, 2.437626, 2.528862, 2.585292, 3.055117, 46.050935], [5.106597, 5.474134, 5.595069, 5.885941, 6.570618, 6.721834, 7.049836, 7.211060, 8.552946, 37.483040]]
### 10
fourier: [[3.193630, 3.416466, 3.479125, 3.668246, 4.089069, 4.199740, 4.382685, 4.521220, 5.351119, 8.192722]]
## 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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27.794117331504822]}, "1": {"fourier": [5.65869484847458, 6.042957847148257, 6.134402876513665, 6.48036914683936, 7.214910440551442, 7.43529002005882, 7.7260373362846275, 8.028361260818809, 9.48475452237514, 67.73808974027634]}, "2": {"fourier": [2.160576703050635, 2.291099361636158, 2.3124303781266953, 2.480998188506159, 2.7082657699490333, 2.8626329007656044, 2.912332928823013, 3.1789963397496, 3.682644908125461, 23.564895033836365]}, "3": {"fourier": [1.8854593088260674, 1.9898337160413133, 2.0722261640045376, 2.137739559877356, 2.4182919223803516, 2.437625752033985, 2.528861907463776, 2.5852922343555993, 3.055116879864973, 46.050935328006744]}, "4": {"fourier": [5.106597393300004, 5.47413445973036, 5.595069104240985, 5.885940573857325, 6.570617989622935, 6.7218343520259305, 7.049835502782831, 7.211059861269479, 8.552945549372962, 37.48304029554129]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [3.1936296216427493, 3.4164664489925265, 3.4791254558891835, 3.6682459454700647, 4.089068904953738, 4.199740254121938, 4.382685024623592, 4.521219565424154, 5.351119196936304, 8.19272156059742]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "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": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.076372, 0.208921, -0.40488, -0.095384, -0.176521], [0.696753, 0.24425, 0.212324, 0.217799, -0.311238], [-0.023497, -0.173489, 0.106471, 0.408666, 0.379712], [-0.087005, -0.395335, -0.286496, 0.072814, -0.235005], [-0.345871, -0.09416, -0.300882, 0.05906, -0.306529]], "network.0.bias": [0.196365, -0.160345, -0.002629, -0.531882, 0.067702], "network.2.weight": [[-0.467937, -0.242104, 0.71573, 0.324788, 0.622005], [-0.458939, -0.234992, -0.386791, -0.222937, -0.004127], [0.243059, -0.232693, -0.133234, 0.001099, -0.079715], [0.075503, -0.339203, 0.20329, -0.376069, 0.416553], [0.14367, -0.252924, 0.517129, 0.2151, 0.234855]], "network.2.bias": [-0.310546, -0.106139, 0.300721, 0.226644, -0.201766], "network.4.weight": [[-0.312596, -0.144921, 0.180998, 0.171177, 0.070121], [0.182793, 0.435453, -0.442268, 0.203689, 0.518972], [-0.021633, 0.190536, 0.038965, -0.257547, -0.323566], [-0.037619, 0.311422, -0.303517, -0.437067, -0.227347], [0.408862, 0.116284, -0.226111, 0.489883, 0.542241]], "network.4.bias": [0.072736, 0.181909, 0.449589, -0.010806, 0.315528], "network.6.weight": [[-0.124506, 0.342963, -0.153754, 0.13284, 0.166309], [-0.084852, 0.325274, -0.258838, 0.24562, 0.237174], [-0.189916, 0.297174, -0.446911, 0.231185, 0.397071], [-0.174246, -0.054154, 0.095203, 0.279496, -0.137893], [0.301596, -0.05409, -0.097181, -0.050259, 0.410115]], "network.6.bias": [0.362129, 0.09094, 0.379006, 0.503587, 0.435331], "network.8.weight": [[-0.02553, 0.181569, -0.274188, 0.08539, 0.141512], [0.129673, 0.440222, 0.505886, -0.201782, 0.179363], [0.034167, 0.112713, -0.346415, -0.231999, -0.409655], [-0.358635, 0.083739, -0.246216, 0.211323, 0.211083], [0.43482, 0.558451, 0.166831, -0.43968, 0.000961]], "network.8.bias": [-0.311265, 0.194384, 0.276254, -0.415018, 0.081658], "network.10.weight": [[-0.08148, -0.304945, 0.161589, 0.033434, -0.28748]], "network.10.bias": [0.258215]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7051284909248352, "train_acc": 0.445, "val_loss": 0.6845215559005737, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.678705632686615, "train_acc": 0.555, "val_loss": 0.6702663898468018, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6730611026287079, "train_acc": 0.555, "val_loss": 0.6302607655525208, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6583652496337891, "train_acc": 0.485, "val_loss": 0.5877417325973511, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5867673456668854, "train_acc": 0.815, "val_loss": 0.5166719555854797, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5041339546442032, "train_acc": 0.81, "val_loss": 0.4327048063278198, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.46338702738285065, "train_acc": 0.765, "val_loss": 0.40847092866897583, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.43474671244621277, "train_acc": 0.825, "val_loss": 0.4090009033679962, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4301069378852844, "train_acc": 0.81, "val_loss": 0.4093368649482727, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.41804106533527374, "train_acc": 0.805, "val_loss": 0.3995313346385956, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.440563902258873, "train_acc": 0.81, "val_loss": 0.3976631164550781, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.40443694591522217, "train_acc": 0.815, "val_loss": 0.44680312275886536, "val_acc": 0.76}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.43463483452796936, "train_acc": 0.8, "val_loss": 0.39786529541015625, "val_acc": 0.8}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6845215559005737, "final_val_loss": 0.6302607655525208, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5877417325973511, "final_val_loss": 0.39786529541015625, "initial_val_acc": 0.8, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 3}, "improvement": 0.24, "first_improvement_epoch": 2}}
|
137
|
{"target_pattern": "alternating", "degraded_accuracy": 0.42, "improved_accuracy": 0.98, "improvement": 0.56, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1901, "learning_rate": 0.056843564978727945, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.8.weight": [
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"network.12.weight": [
[
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[21.337546, 21.689324, 26.813973, 29.633406, 33.188731, 33.582810, 34.843769, 35.339239, 36.873451, 115.521738], [12.092937, 12.658818, 13.158366, 13.551510, 14.555384, 14.925573, 16.984892, 17.559104, 19.359664, 103.393449], [17.851559, 18.307370, 19.294208, 22.500491, 23.381737, 23.700044, 25.531337, 25.733810, 28.872892, 29.355580], [17.879597, 18.636676, 19.133294, 19.456263, 20.466380, 20.900168, 21.758378, 24.658589, 28.164869, 40.533765], [15.011567, 15.603664, 15.638258, 15.685220, 17.383995, 18.069352, 18.607385, 19.644774, 19.855403, 121.599849], [12.812944, 12.884382, 13.455899, 13.653145, 13.742298, 14.161948, 15.837596, 16.000812, 18.592744, 83.205944], [13.160464, 14.337214, 14.389215, 14.580140, 15.009297, 15.271063, 15.358638, 15.690502, 16.262965, 18.290551]]
### 2
fourier: [[3.338829, 3.378047, 3.426338, 3.771617, 3.787321, 3.803849, 4.760375, 5.153021, 5.406292, 19.988130], [12.455614, 13.100456, 13.406760, 14.670338, 15.771751, 16.160065, 17.737178, 17.851687, 18.666856, 47.202380], [2.567187, 2.653068, 2.713769, 2.865365, 2.879941, 3.001423, 3.019630, 3.377842, 5.161229, 20.839615], [9.528996, 9.619004, 10.113595, 10.419579, 10.611326, 11.346303, 11.568967, 14.200646, 14.510882, 37.342223], [5.649084, 5.880800, 5.940870, 5.978612, 6.006396, 6.121501, 6.849554, 7.086088, 7.604012, 25.977929], [14.052512, 14.463616, 14.772065, 15.241489, 15.569632, 16.076334, 17.506353, 20.522113, 21.707770, 101.329106], [4.014372, 4.153395, 4.289632, 4.562932, 4.585557, 4.657295, 4.846212, 6.199743, 6.441550, 36.835221]]
### 4
fourier: [[5.772073, 6.001881, 6.449972, 6.989123, 7.374674, 7.435977, 7.518946, 9.180173, 10.244373, 27.613147], [5.258047, 5.265705, 5.344094, 5.693874, 5.724077, 5.739097, 6.526703, 6.930762, 8.857966, 47.112531], [3.978359, 4.023278, 4.307792, 4.742208, 4.835215, 5.086270, 5.315356, 5.600327, 5.795303, 25.626243], [2.474640, 2.616935, 2.638244, 2.645916, 2.674844, 2.677353, 2.861983, 3.328018, 3.402139, 4.150299], [8.089925, 8.444667, 8.616539, 8.629292, 9.256808, 9.461693, 9.559170, 11.344811, 13.793952, 51.089895], [10.289428, 10.854072, 11.327423, 11.747789, 11.800625, 11.953744, 12.615369, 13.812935, 17.930140, 57.781881], [10.197183, 10.650457, 10.991504, 11.959024, 12.524585, 12.908172, 12.979714, 14.678079, 18.091741, 89.646156]]
### 6
fourier: [[8.397078, 8.564561, 9.041922, 9.228631, 9.361482, 10.583414, 11.512772, 12.379213, 13.839722, 72.019260], [9.924429, 9.943921, 10.076631, 10.396379, 10.688393, 11.141393, 12.624786, 13.609946, 15.925712, 64.401602], [18.832741, 19.387426, 20.677259, 20.956910, 21.366500, 22.752952, 24.804416, 26.082707, 31.765027, 133.914930], [1.107006, 1.129730, 1.133563, 1.179660, 1.287880, 1.349085, 1.479004, 1.575691, 1.712212, 6.391019], [9.522504, 10.008679, 10.095418, 10.219930, 10.691510, 10.843565, 12.481640, 13.360619, 15.634925, 51.764163], [5.629834, 5.663905, 5.756472, 5.830124, 6.184636, 6.192984, 7.190483, 7.763180, 9.067852, 24.048409], [6.087812, 6.248811, 6.453211, 6.909587, 7.037287, 7.702104, 7.928927, 8.428807, 10.345220, 24.111149]]
### 8
fourier: [[17.705484, 18.298432, 18.434598, 18.547409, 18.995501, 20.606750, 23.337745, 24.116407, 28.097779, 133.041089], [10.773709, 10.776192, 11.146514, 11.329230, 11.785348, 12.069559, 14.506463, 14.738480, 16.840823, 74.581051], [12.223864, 12.618426, 12.841014, 12.977150, 13.462822, 14.092948, 16.422459, 16.755619, 19.401742, 68.224630], [10.321061, 10.690417, 10.712963, 11.047416, 11.211095, 11.718115, 13.762229, 14.033703, 16.333583, 80.378451], [16.032533, 16.056097, 16.124621, 16.838195, 17.056848, 17.836944, 20.919072, 21.231964, 24.993635, 94.584045], [14.087825, 14.181745, 14.726468, 14.816933, 15.439388, 16.004954, 19.175927, 19.445685, 22.127795, 103.491985], [21.421816, 22.205680, 22.562520, 22.578855, 23.022490, 24.413509, 28.541515, 29.258137, 33.893143, 136.962920]]
### 10
fourier: [[0.650746, 0.676322, 0.746397, 0.841040, 0.848909, 0.854488, 0.918543, 0.980223, 1.010004, 1.107588], [34.028906, 34.315592, 35.187152, 35.804282, 35.909355, 38.724767, 45.622292, 45.871246, 52.293704, 239.637959], [0.712981, 0.729379, 0.830197, 0.831003, 0.859081, 0.984028, 1.092491, 1.116822, 1.157738, 6.645996], [13.080712, 13.341465, 13.571959, 13.798156, 13.824561, 15.426467, 17.544324, 17.935649, 20.270151, 98.118720], [5.154895, 5.235708, 5.258739, 5.350125, 5.436955, 6.123489, 6.797178, 7.009373, 7.957997, 16.388401], [9.433164, 9.657031, 9.745571, 9.812088, 9.988833, 11.125267, 12.535054, 12.835413, 14.632856, 54.922353], [14.187577, 14.464682, 14.616366, 14.871477, 15.634340, 16.498806, 19.301213, 19.635392, 22.012160, 104.910942]]
### 12
fourier: [[15.473337, 15.930728, 16.062314, 16.434958, 16.456162, 18.094259, 20.966706, 21.197972, 23.928637, 86.564981]]
## 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: gelu
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: [[21.337546, 21.689324, 26.813973, 29.633406, 33.188731, 33.582810, 34.843769, 35.339239, 36.873451, 115.521738], [12.092937, 12.658818, 13.158366, 13.551510, 14.555384, 14.925573, 16.984892, 17.559104, 19.359664, 103.393449], [17.851559, 18.307370, 19.294208, 22.500491, 23.381737, 23.700044, 25.531337, 25.733810, 28.872892, 29.355580], [17.879597, 18.636676, 19.133294, 19.456263, 20.466380, 20.900168, 21.758378, 24.658589, 28.164869, 40.533765], [15.011567, 15.603664, 15.638258, 15.685220, 17.383995, 18.069352, 18.607385, 19.644774, 19.855403, 121.599849], [12.812944, 12.884382, 13.455899, 13.653145, 13.742298, 14.161948, 15.837596, 16.000812, 18.592744, 83.205944], [13.160464, 14.337214, 14.389215, 14.580140, 15.009297, 15.271063, 15.358638, 15.690502, 16.262965, 18.290551]]
### 2
fourier: [[3.338829, 3.378047, 3.426338, 3.771617, 3.787321, 3.803849, 4.760375, 5.153021, 5.406292, 19.988130], [12.455614, 13.100456, 13.406760, 14.670338, 15.771751, 16.160065, 17.737178, 17.851687, 18.666856, 47.202380], [2.567187, 2.653068, 2.713769, 2.865365, 2.879941, 3.001423, 3.019630, 3.377842, 5.161229, 20.839615], [9.528996, 9.619004, 10.113595, 10.419579, 10.611326, 11.346303, 11.568967, 14.200646, 14.510882, 37.342223], [5.649084, 5.880800, 5.940870, 5.978612, 6.006396, 6.121501, 6.849554, 7.086088, 7.604012, 25.977929], [14.052512, 14.463616, 14.772065, 15.241489, 15.569632, 16.076334, 17.506353, 20.522113, 21.707770, 101.329106], [4.014372, 4.153395, 4.289632, 4.562932, 4.585557, 4.657295, 4.846212, 6.199743, 6.441550, 36.835221]]
### 4
fourier: [[5.772073, 6.001881, 6.449972, 6.989123, 7.374674, 7.435977, 7.518946, 9.180173, 10.244373, 27.613147], [5.258047, 5.265705, 5.344094, 5.693874, 5.724077, 5.739097, 6.526703, 6.930762, 8.857966, 47.112531], [3.978359, 4.023278, 4.307792, 4.742208, 4.835215, 5.086270, 5.315356, 5.600327, 5.795303, 25.626243], [2.474640, 2.616935, 2.638244, 2.645916, 2.674844, 2.677353, 2.861983, 3.328018, 3.402139, 4.150299], [8.089925, 8.444667, 8.616539, 8.629292, 9.256808, 9.461693, 9.559170, 11.344811, 13.793952, 51.089895], [10.289428, 10.854072, 11.327423, 11.747789, 11.800625, 11.953744, 12.615369, 13.812935, 17.930140, 57.781881], [10.197183, 10.650457, 10.991504, 11.959024, 12.524585, 12.908172, 12.979714, 14.678079, 18.091741, 89.646156]]
### 6
fourier: [[8.397078, 8.564561, 9.041922, 9.228631, 9.361482, 10.583414, 11.512772, 12.379213, 13.839722, 72.019260], [9.924429, 9.943921, 10.076631, 10.396379, 10.688393, 11.141393, 12.624786, 13.609946, 15.925712, 64.401602], [18.832741, 19.387426, 20.677259, 20.956910, 21.366500, 22.752952, 24.804416, 26.082707, 31.765027, 133.914930], [1.107006, 1.129730, 1.133563, 1.179660, 1.287880, 1.349085, 1.479004, 1.575691, 1.712212, 6.391019], [9.522504, 10.008679, 10.095418, 10.219930, 10.691510, 10.843565, 12.481640, 13.360619, 15.634925, 51.764163], [5.629834, 5.663905, 5.756472, 5.830124, 6.184636, 6.192984, 7.190483, 7.763180, 9.067852, 24.048409], [6.087812, 6.248811, 6.453211, 6.909587, 7.037287, 7.702104, 7.928927, 8.428807, 10.345220, 24.111149]]
### 8
fourier: [[17.705484, 18.298432, 18.434598, 18.547409, 18.995501, 20.606750, 23.337745, 24.116407, 28.097779, 133.041089], [10.773709, 10.776192, 11.146514, 11.329230, 11.785348, 12.069559, 14.506463, 14.738480, 16.840823, 74.581051], [12.223864, 12.618426, 12.841014, 12.977150, 13.462822, 14.092948, 16.422459, 16.755619, 19.401742, 68.224630], [10.321061, 10.690417, 10.712963, 11.047416, 11.211095, 11.718115, 13.762229, 14.033703, 16.333583, 80.378451], [16.032533, 16.056097, 16.124621, 16.838195, 17.056848, 17.836944, 20.919072, 21.231964, 24.993635, 94.584045], [14.087825, 14.181745, 14.726468, 14.816933, 15.439388, 16.004954, 19.175927, 19.445685, 22.127795, 103.491985], [21.421816, 22.205680, 22.562520, 22.578855, 23.022490, 24.413509, 28.541515, 29.258137, 33.893143, 136.962920]]
### 10
fourier: [[0.650746, 0.676322, 0.746397, 0.841040, 0.848909, 0.854488, 0.918543, 0.980223, 1.010004, 1.107588], [34.028906, 34.315592, 35.187152, 35.804282, 35.909355, 38.724767, 45.622292, 45.871246, 52.293704, 239.637959], [0.712981, 0.729379, 0.830197, 0.831003, 0.859081, 0.984028, 1.092491, 1.116822, 1.157738, 6.645996], [13.080712, 13.341465, 13.571959, 13.798156, 13.824561, 15.426467, 17.544324, 17.935649, 20.270151, 98.118720], [5.154895, 5.235708, 5.258739, 5.350125, 5.436955, 6.123489, 6.797178, 7.009373, 7.957997, 16.388401], [9.433164, 9.657031, 9.745571, 9.812088, 9.988833, 11.125267, 12.535054, 12.835413, 14.632856, 54.922353], [14.187577, 14.464682, 14.616366, 14.871477, 15.634340, 16.498806, 19.301213, 19.635392, 22.012160, 104.910942]]
### 12
fourier: [[15.473337, 15.930728, 16.062314, 16.434958, 16.456162, 18.094259, 20.966706, 21.197972, 23.928637, 86.564981]]
## 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": 0.7017727196216583, "train_acc": 0.445, "val_loss": 0.7163354754447937, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.650115430355072, "train_acc": 0.585, "val_loss": 0.7300100922584534, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5678383111953735, "train_acc": 0.585, "val_loss": 0.5735309720039368, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6893948465585709, "train_acc": 0.52, "val_loss": 0.44581684470176697, "val_acc": 0.98}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4576621949672699, "train_acc": 0.915, "val_loss": 0.5383597016334534, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5451921224594116, "train_acc": 0.78, "val_loss": 0.5009450316429138, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4451536387205124, "train_acc": 0.805, "val_loss": 0.3193148672580719, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.28546102344989777, "train_acc": 0.91, "val_loss": 0.24848908185958862, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.1652228683233261, "train_acc": 0.965, "val_loss": 0.21738556027412415, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.1279960796236992, "train_acc": 0.965, "val_loss": 0.20730754733085632, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.12655401229858398, "train_acc": 0.965, "val_loss": 0.18276695907115936, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.07089475356042385, "train_acc": 0.98, "val_loss": 0.252351313829422, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.09887692332267761, "train_acc": 0.97, "val_loss": 0.18826793134212494, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7163354754447937, "final_val_loss": 0.5735309720039368, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.44581684470176697, "final_val_loss": 0.18826793134212494, "initial_val_acc": 0.98, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 3}, "improvement": 0.56, "first_improvement_epoch": 2}}
|
138
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.68, "improved_accuracy": 0.86, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6611, "learning_rate": 0.028383289292831133, "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: 4
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: [[19.682079, 19.937486, 20.361283, 24.591883, 26.956609, 27.414044, 27.774180, 28.900517, 32.490796, 255.936072], [16.237163, 16.482466, 16.497389, 17.089087, 17.886825, 19.101303, 20.303002, 22.011446, 23.001478, 108.403662], [14.929631, 14.938304, 16.466472, 17.985668, 18.166582, 18.419217, 19.320915, 19.364797, 19.450670, 42.547443], [13.455809, 14.039392, 14.322112, 14.582109, 16.192232, 16.315162, 17.330174, 17.886473, 19.645711, 59.015965], [4.813336, 4.833024, 5.002262, 5.499630, 5.964337, 6.789301, 7.436135, 7.542381, 9.162333, 10.641446], [13.419338, 13.933583, 15.024515, 15.969281, 17.256980, 17.818978, 18.880628, 19.829080, 20.279553, 164.425407], [18.504474, 19.114877, 20.144380, 23.866161, 24.061494, 24.776044, 26.461958, 29.097871, 34.275549, 77.559554], [15.271726, 16.205894, 16.930687, 17.092321, 20.540424, 22.978291, 23.156078, 25.890329, 26.041299, 87.957262]]
### 2
fourier: [[16.829664, 16.871156, 17.478476, 18.748458, 19.459930, 19.618562, 20.313194, 21.502351, 24.829327, 30.913539], [14.342373, 14.792394, 16.408841, 16.586081, 17.646327, 19.270794, 21.361001, 22.259510, 22.592655, 44.256644], [13.143286, 15.333071, 15.648720, 16.723225, 17.844518, 18.791999, 18.943643, 20.132027, 22.947924, 24.875919], [8.372397, 8.861470, 9.013069, 9.494726, 10.011305, 10.779863, 11.277633, 13.801314, 13.994942, 14.799484], [7.088987, 8.323866, 8.485174, 8.633452, 8.702927, 8.758807, 10.190785, 11.419466, 14.624690, 40.171774], [6.246046, 6.246818, 6.447565, 7.188096, 7.256188, 7.866006, 8.764537, 8.912535, 10.970924, 11.289125], [6.901051, 7.206319, 7.349342, 7.728620, 8.233378, 8.420113, 9.764054, 13.070313, 13.229938, 50.160969], [4.633902, 4.662234, 4.725470, 4.753844, 4.927002, 5.090960, 5.119939, 5.189679, 7.410670, 9.442072]]
### 4
fourier: [[11.216796, 11.548705, 11.610028, 13.538824, 13.813632, 14.526900, 14.751266, 15.625769, 17.271170, 20.289132], [2.007299, 2.103574, 2.188786, 2.223867, 2.373554, 2.496655, 2.566108, 2.571449, 2.803461, 47.487830], [6.694371, 6.740107, 6.986389, 6.989784, 7.256428, 8.316438, 9.005045, 10.582424, 10.724109, 42.162141], [4.911102, 5.043736, 5.110004, 5.278732, 5.614725, 6.606144, 6.735816, 6.950881, 7.838800, 14.635633], [5.144191, 5.531572, 6.064558, 6.639416, 6.871380, 7.027946, 7.184193, 7.484954, 7.963500, 10.528653], [13.011072, 13.433443, 14.348918, 14.546664, 14.631580, 15.991827, 16.094387, 21.379771, 22.305278, 81.028766], [8.412006, 8.551005, 8.654463, 8.811549, 9.205271, 9.223396, 9.473234, 13.290657, 13.328818, 33.277815], [6.783860, 6.860029, 7.175935, 7.229320, 7.876583, 7.905425, 8.780746, 11.008522, 11.201552, 31.332692]]
### 6
fourier: [[12.339577, 12.871099, 12.912683, 14.672551, 14.999879, 15.519591, 17.826634, 19.158152, 22.697359, 50.623328], [11.476183, 11.790335, 12.486385, 14.312892, 14.547545, 14.715157, 17.169258, 17.962077, 21.527483, 50.320836], [9.503627, 9.850236, 9.891003, 11.423904, 11.664249, 12.033972, 12.698489, 14.661394, 16.843649, 17.531376], [14.539168, 14.917748, 15.458531, 16.342019, 16.402498, 17.496834, 18.109044, 22.966095, 24.756636, 83.162137], [7.349584, 7.384811, 7.396669, 8.512733, 8.687200, 9.299822, 10.083405, 11.768989, 13.225707, 49.058506], [13.209449, 13.601791, 13.672015, 14.196168, 14.384044, 16.077881, 17.077137, 21.044895, 22.560646, 67.683922], [10.425207, 10.920363, 11.220823, 13.028217, 13.369156, 13.383392, 15.379756, 16.145927, 19.599885, 50.653572], [8.791061, 9.725091, 9.772652, 10.224761, 11.398009, 11.986194, 12.996431, 14.304038, 15.944573, 17.562359]]
### 8
fourier: [[26.720776, 26.804976, 28.202379, 28.918468, 30.698059, 30.796915, 39.990507, 41.541673, 47.688416, 92.299711]]
## 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: 4
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: [[19.682079, 19.937486, 20.361283, 24.591883, 26.956609, 27.414044, 27.774180, 28.900517, 32.490796, 255.936072], [16.237163, 16.482466, 16.497389, 17.089087, 17.886825, 19.101303, 20.303002, 22.011446, 23.001478, 108.403662], [14.929631, 14.938304, 16.466472, 17.985668, 18.166582, 18.419217, 19.320915, 19.364797, 19.450670, 42.547443], [13.455809, 14.039392, 14.322112, 14.582109, 16.192232, 16.315162, 17.330174, 17.886473, 19.645711, 59.015965], [4.813336, 4.833024, 5.002262, 5.499630, 5.964337, 6.789301, 7.436135, 7.542381, 9.162333, 10.641446], [13.419338, 13.933583, 15.024515, 15.969281, 17.256980, 17.818978, 18.880628, 19.829080, 20.279553, 164.425407], [18.504474, 19.114877, 20.144380, 23.866161, 24.061494, 24.776044, 26.461958, 29.097871, 34.275549, 77.559554], [15.271726, 16.205894, 16.930687, 17.092321, 20.540424, 22.978291, 23.156078, 25.890329, 26.041299, 87.957262]]
### 2
fourier: [[16.829664, 16.871156, 17.478476, 18.748458, 19.459930, 19.618562, 20.313194, 21.502351, 24.829327, 30.913539], [14.342373, 14.792394, 16.408841, 16.586081, 17.646327, 19.270794, 21.361001, 22.259510, 22.592655, 44.256644], [13.143286, 15.333071, 15.648720, 16.723225, 17.844518, 18.791999, 18.943643, 20.132027, 22.947924, 24.875919], [8.372397, 8.861470, 9.013069, 9.494726, 10.011305, 10.779863, 11.277633, 13.801314, 13.994942, 14.799484], [7.088987, 8.323866, 8.485174, 8.633452, 8.702927, 8.758807, 10.190785, 11.419466, 14.624690, 40.171774], [6.246046, 6.246818, 6.447565, 7.188096, 7.256188, 7.866006, 8.764537, 8.912535, 10.970924, 11.289125], [6.901051, 7.206319, 7.349342, 7.728620, 8.233378, 8.420113, 9.764054, 13.070313, 13.229938, 50.160969], [4.633902, 4.662234, 4.725470, 4.753844, 4.927002, 5.090960, 5.119939, 5.189679, 7.410670, 9.442072]]
### 4
fourier: [[11.216796, 11.548705, 11.610028, 13.538824, 13.813632, 14.526900, 14.751266, 15.625769, 17.271170, 20.289132], [2.007299, 2.103574, 2.188786, 2.223867, 2.373554, 2.496655, 2.566108, 2.571449, 2.803461, 47.487830], [6.694371, 6.740107, 6.986389, 6.989784, 7.256428, 8.316438, 9.005045, 10.582424, 10.724109, 42.162141], [4.911102, 5.043736, 5.110004, 5.278732, 5.614725, 6.606144, 6.735816, 6.950881, 7.838800, 14.635633], [5.144191, 5.531572, 6.064558, 6.639416, 6.871380, 7.027946, 7.184193, 7.484954, 7.963500, 10.528653], [13.011072, 13.433443, 14.348918, 14.546664, 14.631580, 15.991827, 16.094387, 21.379771, 22.305278, 81.028766], [8.412006, 8.551005, 8.654463, 8.811549, 9.205271, 9.223396, 9.473234, 13.290657, 13.328818, 33.277815], [6.783860, 6.860029, 7.175935, 7.229320, 7.876583, 7.905425, 8.780746, 11.008522, 11.201552, 31.332692]]
### 6
fourier: [[12.339577, 12.871099, 12.912683, 14.672551, 14.999879, 15.519591, 17.826634, 19.158152, 22.697359, 50.623328], [11.476183, 11.790335, 12.486385, 14.312892, 14.547545, 14.715157, 17.169258, 17.962077, 21.527483, 50.320836], [9.503627, 9.850236, 9.891003, 11.423904, 11.664249, 12.033972, 12.698489, 14.661394, 16.843649, 17.531376], [14.539168, 14.917748, 15.458531, 16.342019, 16.402498, 17.496834, 18.109044, 22.966095, 24.756636, 83.162137], [7.349584, 7.384811, 7.396669, 8.512733, 8.687200, 9.299822, 10.083405, 11.768989, 13.225707, 49.058506], [13.209449, 13.601791, 13.672015, 14.196168, 14.384044, 16.077881, 17.077137, 21.044895, 22.560646, 67.683922], [10.425207, 10.920363, 11.220823, 13.028217, 13.369156, 13.383392, 15.379756, 16.145927, 19.599885, 50.653572], [8.791061, 9.725091, 9.772652, 10.224761, 11.398009, 11.986194, 12.996431, 14.304038, 15.944573, 17.562359]]
### 8
fourier: [[26.720776, 26.804976, 28.202379, 28.918468, 30.698059, 30.796915, 39.990507, 41.541673, 47.688416, 92.299711]]
## 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": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.085296, -0.380731, -0.374353, -0.562105, 0.145317], [-0.251943, 0.093022, 0.194313, 0.516974, -0.36159], [0.05848, -0.296931, -0.176553, -0.110574, 0.530946], [-0.067724, -0.128705, 0.4438, 0.26878, -0.424953], [-0.073618, 0.246147, -0.122275, -0.087541, 0.011544], [0.110445, -0.150303, -0.157243, -0.25498, -0.386022], [0.52087, -0.246963, 0.27664, -0.154752, 0.271967], [0.051594, -0.336993, 0.176967, 0.11857, 0.574708]], "network.0.bias": [-0.447945, 0.279947, -0.053362, -0.004784, 0.045773, -0.339157, 0.082162, 0.194434], "network.2.weight": [[0.002836, 0.302169, 0.045503, 0.277113, 0.015529, -0.042514, -0.566823, -0.390314], [-0.056418, 0.455336, 0.210437, 0.472825, 0.22231, 0.367901, -0.119056, -0.493134], [-0.035515, 0.27312, -0.131209, -0.005777, 0.45571, -0.192561, -0.424008, -0.327191], [-0.464056, 0.118191, 0.052354, 0.48321, 0.088013, -0.141339, -0.100898, -0.272525], [-0.057732, 0.251877, 0.440459, -0.42957, 0.034576, -0.110188, 0.054241, 0.237212], [-0.176036, -0.246665, -0.121289, -0.02698, -0.179511, 0.14022, -0.055826, 0.360804], [-0.063547, 0.018955, -0.338795, -0.426836, 0.452036, 0.175122, -0.118211, -0.161594], [-0.250406, 0.063482, -0.004511, -0.108074, -0.0191, 0.204826, 0.280319, -0.298342]], "network.2.bias": [0.201745, 0.081135, 0.657237, -0.067576, 0.022286, -0.04839, 0.072991, -0.071514], "network.4.weight": [[-0.173734, -0.254006, -0.353416, -0.17391, 0.531638, 0.616559, -0.405646, 0.211702], [-0.351835, -0.040792, 0.062625, 0.102481, -0.118052, 0.040283, -0.237218, -0.037397], [0.153412, 0.446994, 0.183995, -0.090175, -0.04024, 0.081899, 0.356165, 0.031509], [-0.071426, 0.125538, 0.050485, 0.319058, -0.138523, -0.459769, 0.240001, 0.318034], [-0.390869, -0.183632, -0.210059, 0.367497, 0.235734, 0.141388, 0.179702, 0.188928], [0.263922, 0.503597, 0.55054, 0.41094, -0.033725, 0.027708, -0.056989, -0.332607], [0.39834, 0.344383, -0.08006, 0.297197, -0.00781, -0.300883, 0.133166, -0.325888], [-0.226312, 0.009749, -0.038702, -0.347292, 0.486794, 0.196866, -0.496566, -0.046131]], "network.4.bias": [0.34616, -0.355865, -0.015388, 0.061295, 0.193914, -0.00639, -0.045944, 0.341451], "network.6.weight": [[0.647775, 0.387214, -0.071185, 0.231666, 0.365388, -0.442941, -0.060974, 0.302982], [0.708494, 0.073564, -0.168972, 0.210233, 0.041579, -0.391894, -0.25224, 0.066836], [0.042377, -0.062771, 0.090035, 0.016884, 0.244729, -0.540137, -0.03667, 0.484857], [-0.190004, -0.306847, 0.340794, -0.232036, -0.191206, 0.507336, 0.602946, -0.157132], [-0.182082, -0.375204, 0.104975, 0.348582, -0.277418, 0.432508, -0.111461, 0.135563], [-0.046057, 0.00564, 0.136581, 0.3667, -0.539139, 0.574977, 0.387732, 0.072201], [0.51662, -0.189246, -0.383238, 0.2947, 0.279304, -0.271314, -0.18404, 0.121302], [0.259711, 0.135848, -0.243983, -0.348075, 0.126061, -0.192775, -0.169389, 0.269495]], "network.6.bias": [0.478795, 0.70611, 0.389783, 0.274851, 0.141243, -0.004929, 0.660376, 0.397769], "network.8.weight": [[-0.339607, -0.583074, -0.522795, 0.204677, 0.160426, 0.279812, -0.653544, -0.53385]], "network.8.bias": [0.051749]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6972730159759521, "train_acc": 0.5, "val_loss": 0.6935591697692871, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6819782853126526, "train_acc": 0.565, "val_loss": 0.6784175634384155, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6646318733692169, "train_acc": 0.59, "val_loss": 0.613624632358551, "val_acc": 0.68}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6250344216823578, "train_acc": 0.68, "val_loss": 0.5223885178565979, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5457495450973511, "train_acc": 0.755, "val_loss": 0.47388580441474915, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.504226565361023, "train_acc": 0.79, "val_loss": 0.4811876714229584, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.46494436264038086, "train_acc": 0.775, "val_loss": 0.46969082951545715, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.44039252400398254, "train_acc": 0.8, "val_loss": 0.42277613282203674, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.44911907613277435, "train_acc": 0.805, "val_loss": 0.3880949318408966, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3849020451307297, "train_acc": 0.82, "val_loss": 0.3773830533027649, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3956662118434906, "train_acc": 0.825, "val_loss": 0.36708465218544006, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3674486577510834, "train_acc": 0.855, "val_loss": 0.35265862941741943, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.37571118772029877, "train_acc": 0.855, "val_loss": 0.3436250686645508, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6935591697692871, "final_val_loss": 0.613624632358551, "initial_val_acc": 0.5, "final_val_acc": 0.68, "best_val_acc": 0.68}, "improved_stage": {"initial_val_loss": 0.5223885178565979, "final_val_loss": 0.3436250686645508, "initial_val_acc": 0.84, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 7}, "improvement": 0.17999999999999994, "first_improvement_epoch": 2}}
|
139
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.48, "improved_accuracy": 0.82, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1689, "learning_rate": 0.05176348975644472, "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: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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"network.8.weight": [
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"network.10.weight": [
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"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[25.957120, 26.107840, 26.280131, 27.242690, 28.972400, 29.554703, 30.639276, 31.999748, 35.369797, 129.441772], [18.886824, 19.266994, 19.410646, 20.386131, 20.426650, 20.696079, 21.787338, 25.622326, 33.360035, 100.589629], [18.260795, 18.330748, 20.349855, 20.577745, 20.801141, 22.895148, 23.982011, 24.873077, 25.236270, 25.780795], [15.493755, 15.840598, 16.756613, 17.350456, 18.856600, 18.948092, 18.977732, 20.005105, 20.566723, 130.955162], [25.673731, 26.695301, 27.681659, 29.331808, 30.432699, 30.679989, 30.822917, 32.813078, 34.238118, 173.604082], [14.834649, 15.737097, 15.810115, 16.405762, 17.733100, 17.858813, 19.807460, 20.958124, 21.574084, 109.888680], [15.770874, 17.158742, 17.520136, 17.748652, 19.485084, 19.988671, 22.196223, 23.140229, 27.169143, 180.069956]]
### 2
fourier: [[30.479823, 31.368472, 32.924342, 33.090002, 34.002074, 35.793927, 36.021317, 37.635992, 37.818756, 213.263801], [11.037953, 12.111242, 12.333518, 12.600576, 12.890473, 12.979724, 14.464703, 18.001188, 20.623233, 181.619751], [4.991719, 5.012527, 5.382048, 5.695676, 5.935705, 5.945328, 6.061178, 6.236331, 7.319406, 43.661600], [13.759846, 14.077995, 15.072598, 15.621037, 16.334020, 16.387816, 16.488664, 17.358070, 18.186952, 70.131773], [39.819532, 40.146715, 40.243098, 44.628917, 44.750357, 45.043036, 46.549414, 49.516447, 50.911440, 318.170873], [24.967782, 25.669254, 26.442837, 27.229250, 28.587682, 30.238606, 31.309914, 32.868232, 33.699467, 121.805938], [22.030708, 22.251484, 22.819602, 23.292758, 24.202601, 24.956982, 25.126269, 27.897202, 29.083784, 33.695517]]
### 4
fourier: [[54.915297, 56.299305, 56.552743, 58.590740, 59.094918, 62.226769, 64.326270, 66.420178, 67.529735, 366.914334], [8.283537, 8.855141, 8.945894, 9.135757, 9.218131, 9.480837, 9.530804, 10.054482, 10.395350, 68.369660], [53.847499, 54.188103, 56.034551, 57.243312, 57.442769, 61.548404, 62.190083, 65.664262, 65.779586, 388.247235], [9.765263, 10.081812, 10.158272, 10.421389, 11.624604, 12.099058, 12.925660, 13.516025, 15.302993, 72.836386], [2.671457, 2.946125, 3.158982, 3.382264, 3.439172, 3.555266, 4.064173, 4.194293, 4.442762, 49.700082], [17.034061, 17.453915, 19.185359, 19.518882, 19.805538, 19.937490, 19.949089, 21.862435, 23.669165, 61.062713], [4.910983, 5.164029, 5.601964, 5.841724, 5.935335, 6.012039, 6.025868, 6.761925, 8.528069, 63.416888]]
### 6
fourier: [[51.643190, 53.768863, 53.827823, 54.470307, 56.246248, 59.055312, 60.091003, 63.391894, 64.326158, 383.542214], [50.001505, 50.029573, 50.941047, 51.258042, 53.305259, 55.997825, 57.034410, 59.886601, 59.917520, 347.015908], [8.315988, 8.325411, 8.343776, 8.570090, 9.044876, 9.222565, 9.617530, 9.787536, 10.394816, 31.016803], [67.040118, 68.710380, 68.888268, 70.196016, 72.109917, 76.227851, 77.667706, 80.461420, 81.208365, 465.707206], [46.432891, 47.831131, 47.878234, 48.928807, 49.991434, 53.034544, 54.013169, 55.757129, 56.405723, 326.006972], [19.507223, 20.438622, 21.935952, 22.698983, 22.903889, 23.401897, 24.037117, 24.452357, 24.988873, 155.985316], [70.995442, 71.299533, 72.570206, 73.258154, 75.700372, 79.781311, 81.336129, 85.135124, 85.181619, 484.609789]]
### 8
fourier: [[32.437798, 33.300236, 33.719352, 34.057459, 35.229442, 37.401755, 37.437231, 38.413799, 39.668469, 242.342588], [132.169444, 136.217901, 137.833146, 139.327120, 143.659064, 152.210127, 153.780159, 157.621823, 161.642518, 925.709270], [25.848910, 26.629406, 26.675813, 27.079661, 27.982465, 29.525018, 30.038272, 31.004623, 31.425365, 207.362745], [76.261044, 78.449954, 79.158596, 80.120915, 82.664662, 87.657730, 88.369607, 90.726262, 93.102319, 545.131030], [8.746014, 9.217538, 9.700315, 9.771030, 9.844948, 10.440135, 10.606081, 10.673917, 11.023679, 82.525269], [10.386555, 10.871953, 11.398473, 11.503906, 11.680747, 12.367826, 12.503023, 12.517078, 13.055458, 60.056206], [25.814096, 25.847716, 26.320845, 26.375855, 27.532693, 29.027357, 29.345874, 30.654798, 30.992632, 151.521356]]
### 10
fourier: [[88.617380, 91.013999, 91.631672, 92.621309, 95.964318, 101.550766, 102.665712, 105.301694, 107.667884, 594.656703]]
## 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: 5
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: [[25.957120, 26.107840, 26.280131, 27.242690, 28.972400, 29.554703, 30.639276, 31.999748, 35.369797, 129.441772], [18.886824, 19.266994, 19.410646, 20.386131, 20.426650, 20.696079, 21.787338, 25.622326, 33.360035, 100.589629], [18.260795, 18.330748, 20.349855, 20.577745, 20.801141, 22.895148, 23.982011, 24.873077, 25.236270, 25.780795], [15.493755, 15.840598, 16.756613, 17.350456, 18.856600, 18.948092, 18.977732, 20.005105, 20.566723, 130.955162], [25.673731, 26.695301, 27.681659, 29.331808, 30.432699, 30.679989, 30.822917, 32.813078, 34.238118, 173.604082], [14.834649, 15.737097, 15.810115, 16.405762, 17.733100, 17.858813, 19.807460, 20.958124, 21.574084, 109.888680], [15.770874, 17.158742, 17.520136, 17.748652, 19.485084, 19.988671, 22.196223, 23.140229, 27.169143, 180.069956]]
### 2
fourier: [[30.479823, 31.368472, 32.924342, 33.090002, 34.002074, 35.793927, 36.021317, 37.635992, 37.818756, 213.263801], [11.037953, 12.111242, 12.333518, 12.600576, 12.890473, 12.979724, 14.464703, 18.001188, 20.623233, 181.619751], [4.991719, 5.012527, 5.382048, 5.695676, 5.935705, 5.945328, 6.061178, 6.236331, 7.319406, 43.661600], [13.759846, 14.077995, 15.072598, 15.621037, 16.334020, 16.387816, 16.488664, 17.358070, 18.186952, 70.131773], [39.819532, 40.146715, 40.243098, 44.628917, 44.750357, 45.043036, 46.549414, 49.516447, 50.911440, 318.170873], [24.967782, 25.669254, 26.442837, 27.229250, 28.587682, 30.238606, 31.309914, 32.868232, 33.699467, 121.805938], [22.030708, 22.251484, 22.819602, 23.292758, 24.202601, 24.956982, 25.126269, 27.897202, 29.083784, 33.695517]]
### 4
fourier: [[54.915297, 56.299305, 56.552743, 58.590740, 59.094918, 62.226769, 64.326270, 66.420178, 67.529735, 366.914334], [8.283537, 8.855141, 8.945894, 9.135757, 9.218131, 9.480837, 9.530804, 10.054482, 10.395350, 68.369660], [53.847499, 54.188103, 56.034551, 57.243312, 57.442769, 61.548404, 62.190083, 65.664262, 65.779586, 388.247235], [9.765263, 10.081812, 10.158272, 10.421389, 11.624604, 12.099058, 12.925660, 13.516025, 15.302993, 72.836386], [2.671457, 2.946125, 3.158982, 3.382264, 3.439172, 3.555266, 4.064173, 4.194293, 4.442762, 49.700082], [17.034061, 17.453915, 19.185359, 19.518882, 19.805538, 19.937490, 19.949089, 21.862435, 23.669165, 61.062713], [4.910983, 5.164029, 5.601964, 5.841724, 5.935335, 6.012039, 6.025868, 6.761925, 8.528069, 63.416888]]
### 6
fourier: [[51.643190, 53.768863, 53.827823, 54.470307, 56.246248, 59.055312, 60.091003, 63.391894, 64.326158, 383.542214], [50.001505, 50.029573, 50.941047, 51.258042, 53.305259, 55.997825, 57.034410, 59.886601, 59.917520, 347.015908], [8.315988, 8.325411, 8.343776, 8.570090, 9.044876, 9.222565, 9.617530, 9.787536, 10.394816, 31.016803], [67.040118, 68.710380, 68.888268, 70.196016, 72.109917, 76.227851, 77.667706, 80.461420, 81.208365, 465.707206], [46.432891, 47.831131, 47.878234, 48.928807, 49.991434, 53.034544, 54.013169, 55.757129, 56.405723, 326.006972], [19.507223, 20.438622, 21.935952, 22.698983, 22.903889, 23.401897, 24.037117, 24.452357, 24.988873, 155.985316], [70.995442, 71.299533, 72.570206, 73.258154, 75.700372, 79.781311, 81.336129, 85.135124, 85.181619, 484.609789]]
### 8
fourier: [[32.437798, 33.300236, 33.719352, 34.057459, 35.229442, 37.401755, 37.437231, 38.413799, 39.668469, 242.342588], [132.169444, 136.217901, 137.833146, 139.327120, 143.659064, 152.210127, 153.780159, 157.621823, 161.642518, 925.709270], [25.848910, 26.629406, 26.675813, 27.079661, 27.982465, 29.525018, 30.038272, 31.004623, 31.425365, 207.362745], [76.261044, 78.449954, 79.158596, 80.120915, 82.664662, 87.657730, 88.369607, 90.726262, 93.102319, 545.131030], [8.746014, 9.217538, 9.700315, 9.771030, 9.844948, 10.440135, 10.606081, 10.673917, 11.023679, 82.525269], [10.386555, 10.871953, 11.398473, 11.503906, 11.680747, 12.367826, 12.503023, 12.517078, 13.055458, 60.056206], [25.814096, 25.847716, 26.320845, 26.375855, 27.532693, 29.027357, 29.345874, 30.654798, 30.992632, 151.521356]]
### 10
fourier: [[88.617380, 91.013999, 91.631672, 92.621309, 95.964318, 101.550766, 102.665712, 105.301694, 107.667884, 594.656703]]
## 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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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.424356, 0.713063, 0.015928, -0.509817, 0.358988], [0.441595, 0.130467, -0.170553, 0.432194, -0.546758], [-0.568314, -0.381714, 0.242308, 0.185805, 0.221071], [-0.218879, -0.215246, 0.127106, 0.565599, 0.096015], [0.598795, 0.647383, -0.063104, -0.021421, -0.227562], [0.278916, 0.172753, -0.318143, -0.498296, 0.207755], [-0.333634, 0.196183, -0.371276, -0.374971, -0.092288]], "network.0.bias": [0.228047, 0.434166, 0.409387, 0.522841, 0.462505, -0.405972, -0.249597], "network.2.weight": [[0.515724, 0.285999, -0.28138, -0.01933, 0.560415, 0.197282, 0.334838], [-0.241176, -0.238843, -0.352898, -0.358685, -0.255769, 0.278712, -0.189732], [-0.205748, 0.003747, -0.046233, -0.333888, 0.135164, -0.248686, 0.223078], [0.319353, 0.358905, 0.059111, -0.023054, 0.103685, 0.405593, -0.332854], [0.693835, 0.496819, -0.364573, 0.137976, 0.684129, 0.193681, 0.318664], [0.500859, -0.038018, 0.19928, -0.508846, 0.506066, 0.071645, 0.230772], [-0.373549, -0.49941, 0.602172, 0.428154, -0.089968, -0.102844, -0.16805]], "network.2.bias": [0.254545, -0.039147, 0.137339, -0.462763, 0.425163, 0.218108, 0.312828], "network.4.weight": [[0.503001, -0.286345, -0.030717, 0.453804, 0.466766, 0.498991, -0.410335], [-0.490072, 0.341047, -0.232652, 0.254319, 0.022645, 0.066078, -0.119821], [0.372758, 0.331099, -0.186205, 0.226209, 0.677682, 0.40379, -0.359135], [-0.233921, -0.119961, 0.287289, 0.428404, -0.089583, -0.171563, 0.229732], [0.168587, -0.152848, -0.120407, 0.083315, -0.111156, -0.170154, -0.322522], [-0.314998, 0.017047, 0.507545, -0.219015, -0.084448, 0.060175, 0.430339], [0.31692, 0.172851, 0.008102, -0.351291, -0.133425, -0.227952, -0.236945]], "network.4.bias": [0.349267, 0.098146, 0.451322, -0.167484, -0.168058, 0.189835, -0.205979], "network.6.weight": [[0.248512, 0.035629, 0.697018, -0.315895, -0.230212, -0.530805, -0.065829], [-0.503969, 0.167771, -0.390034, 0.006834, 0.0497, 0.408163, 0.153386], [0.418384, -0.145686, -0.28014, -0.118478, 0.206384, -0.168208, -0.356007], [0.683078, 0.238903, 0.539402, -0.198656, 0.094878, -0.280637, 0.115044], [0.415387, -0.120824, 0.437647, -0.235112, -0.019592, -0.114388, 0.31395], [-0.350664, 0.2057, -0.040892, -0.085931, -0.213377, -0.36557, 0.322885], [0.647911, -0.166948, 0.630559, -0.346651, 0.105471, -0.416387, 0.358604]], "network.6.bias": [0.31684, -0.156804, -0.130007, 0.071635, 0.036941, -0.039184, 0.060884], "network.8.weight": [[-0.008868, -0.087041, 0.315661, -0.059345, -0.094507, 0.159644, -0.374094], [0.582319, -0.256355, 0.253886, 0.400643, 0.703869, 0.021669, 0.592354], [-0.204256, 0.303601, -0.330359, 0.25867, -0.164951, 0.037775, -0.320037], [0.273413, -0.072318, -0.242198, 0.426604, 0.427624, 0.295444, 0.226659], [-0.033441, -0.044317, -0.2978, 0.007291, -0.089232, -0.004198, -0.021329], [-0.019912, -0.071109, -0.271335, 0.046949, 0.056031, -0.132022, -0.192254], [-0.329459, 0.261371, 0.027413, -0.102921, 0.083158, 0.097155, -0.078896]], "network.8.bias": [-0.095248, -0.177921, -0.307732, -0.025696, -0.24857, 0.126498, 0.376485], "network.10.weight": [[0.076748, -0.607222, 0.065926, -0.103202, 0.14653, 0.044597, 0.533494]], "network.10.bias": [0.255315]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6774002313613892, "train_acc": 0.575, "val_loss": 0.7133718132972717, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6489166617393494, "train_acc": 0.575, "val_loss": 0.6417175531387329, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5945841670036316, "train_acc": 0.505, "val_loss": 0.5958952307701111, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.49507227540016174, "train_acc": 0.815, "val_loss": 0.5228038430213928, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4277265667915344, "train_acc": 0.845, "val_loss": 0.5296661853790283, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3726685494184494, "train_acc": 0.865, "val_loss": 0.5686690807342529, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3156181871891022, "train_acc": 0.9, "val_loss": 0.5856344103813171, "val_acc": 0.8}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7133718132972717, "final_val_loss": 0.6417175531387329, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5958952307701111, "final_val_loss": 0.5856344103813171, "initial_val_acc": 0.66, "final_val_acc": 0.8, "best_val_acc": 0.82, "best_epoch": 4}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
140
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.56, "improved_accuracy": 0.8, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1582, "learning_rate": 0.09238521803098516, "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: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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-0.191369,
-0.385063,
-0.164755,
0.521936,
-0.070082
],
[
-0.033113,
-0.110201,
-0.081463,
-0.022084,
0.095029,
-0.176194
],
[
0.365872,
0.278018,
0.256363,
0.405272,
-0.302544,
-0.391845
]
],
"network.6.bias": [
-0.695166,
0.012302,
-0.673497,
-0.419963,
-0.587741,
0.154617
],
"network.8.weight": [
[
-0.139551,
-0.003988,
0.018973,
-0.293524,
-0.098146,
-0.33085
]
],
"network.8.bias": [
0.350509
]
}
## Activation Signature
### 0
fourier: [[30.118537, 30.449713, 36.385132, 40.531816, 41.246856, 42.017317, 47.162011, 48.156076, 48.308172, 105.244987], [27.980764, 30.628663, 30.701662, 32.578415, 32.872239, 34.626199, 34.969091, 40.986652, 43.334464, 101.773194], [17.971824, 19.503398, 20.928965, 21.317679, 22.669724, 25.158615, 25.465526, 26.108230, 27.488848, 232.728203], [21.979959, 22.360040, 24.881193, 25.377458, 25.852566, 26.218052, 28.846498, 31.078784, 33.540066, 243.230258], [33.130641, 33.138981, 33.530811, 33.902283, 36.104407, 38.069028, 39.593028, 43.039714, 47.497936, 170.084203], [13.780064, 13.813086, 14.002588, 16.228404, 16.287968, 16.496047, 17.236674, 20.357157, 22.730575, 106.078337]]
### 2
fourier: [[71.475118, 72.305406, 77.286139, 91.901149, 92.902764, 93.613039, 94.398890, 95.156446, 97.069922, 330.762385], [59.042851, 62.305123, 66.493023, 78.740786, 79.312499, 80.911752, 81.395625, 82.288244, 86.493574, 347.351091], [4.418237, 4.573463, 4.758556, 4.807981, 4.919737, 4.921475, 4.956282, 5.167229, 5.552088, 78.193800], [34.321079, 36.945753, 37.044441, 42.742322, 42.912363, 43.716416, 44.282548, 44.631741, 46.109409, 149.004068], [23.611077, 25.961385, 26.337255, 30.233916, 31.537559, 31.661211, 33.153568, 33.551772, 34.607645, 114.485075], [18.549512, 20.192928, 21.159490, 23.582042, 25.616665, 26.645262, 27.145512, 27.273426, 35.252608, 127.442363]]
### 4
fourier: [[68.515987, 69.603274, 75.308247, 89.269344, 89.639759, 89.755547, 92.559465, 92.670918, 93.211002, 309.420774], [69.400868, 71.685538, 77.825877, 92.396333, 92.458697, 92.878797, 95.376113, 95.456769, 97.466506, 353.531983], [79.692961, 82.581489, 89.732994, 105.456610, 106.380320, 108.281219, 109.111190, 109.982872, 112.999819, 353.597571], [70.640046, 72.572650, 79.496193, 93.654415, 93.894465, 94.644568, 96.810565, 97.131310, 98.844762, 324.239605], [116.719434, 116.817711, 127.175646, 149.696914, 149.743600, 150.638234, 155.082324, 155.239537, 156.053972, 682.185220], [31.182990, 33.027363, 34.040970, 37.135997, 38.257530, 39.637232, 40.414250, 40.447335, 41.465570, 41.693494]]
### 6
fourier: [[44.659205, 46.222561, 49.328159, 57.013801, 58.222868, 61.095785, 61.515251, 62.194373, 62.923852, 322.801487], [36.481189, 36.937961, 40.778472, 45.715938, 47.577723, 48.050156, 48.809507, 49.245585, 49.376512, 133.819465], [130.621639, 134.188432, 145.150675, 167.453949, 171.430921, 177.990341, 178.861479, 181.227409, 181.259795, 741.934903], [59.765893, 62.146776, 68.073895, 79.188107, 79.792848, 81.515183, 83.225276, 83.522465, 84.445810, 323.830192], [17.369501, 17.959769, 19.345212, 22.319821, 22.809538, 23.863116, 23.872843, 24.224599, 24.368207, 146.431700], [95.371469, 97.136747, 107.221195, 125.712542, 125.760372, 125.763843, 129.973193, 130.609330, 131.554580, 429.511649]]
### 8
fourier: [[32.013970, 32.308567, 35.908527, 41.697525, 42.030331, 42.268459, 43.510148, 43.769739, 44.075446, 106.861550]]
## 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: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.278747,
0.153527,
-0.307891,
-0.123133,
-0.264639
],
[
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0.210783,
-0.276144,
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],
[
0.392492,
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-0.376254,
-0.392604
],
[
-0.158419,
-0.506649,
-0.400249,
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],
[
0.965035,
0.506819,
0.075897,
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],
[
0.518354,
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-0.133601
]
],
"network.0.bias": [
0.531889,
0.104081,
-0.763001,
-0.125823,
0.436711,
-0.53437
],
"network.2.weight": [
[
0.981806,
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-0.599121,
1.108482,
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],
[
0.571235,
0.933121,
-0.430826,
-0.705473,
0.668583,
-0.080124
],
[
-0.037508,
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0.035007,
0.319651,
0.063481,
-0.991838
],
[
0.364686,
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0.808865,
0.091726
],
[
-0.051663,
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0.102022,
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-0.296803
],
[
-0.441441,
-0.625294,
-0.636135,
0.101904,
0.401578,
-0.680761
]
],
"network.2.bias": [
-0.32121,
0.547408,
-0.858086,
-0.401384,
0.011351,
-0.791243
],
"network.4.weight": [
[
0.34299,
0.450002,
-0.198403,
0.5049,
0.112141,
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],
[
0.543736,
0.463616,
-0.160991,
0.11328,
0.342112,
-0.190008
],
[
0.292082,
0.832617,
-0.228692,
0.275717,
0.362274,
0.508945
],
[
0.547046,
0.451215,
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0.153917,
0.440541,
0.442676
],
[
-0.714431,
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1.040759,
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0.751912,
0.620898
],
[
-0.624313,
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-0.547683,
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-0.189451,
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]
],
"network.4.bias": [
-0.439652,
-0.04215,
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-0.405506,
-1.050932,
0.656793
],
"network.6.weight": [
[
0.119911,
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0.084567,
0.326046,
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],
[
-0.060734,
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0.013537,
0.001057,
0.526733
],
[
-0.781425,
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0.99683,
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],
[
-0.074067,
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0.521936,
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],
[
-0.033113,
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],
[
0.365872,
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0.405272,
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]
],
"network.6.bias": [
-0.695166,
0.012302,
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-0.587741,
0.154617
],
"network.8.weight": [
[
-0.139551,
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0.018973,
-0.293524,
-0.098146,
-0.33085
]
],
"network.8.bias": [
0.350509
]
}
## Activation Signature
### 0
fourier: [[30.118537, 30.449713, 36.385132, 40.531816, 41.246856, 42.017317, 47.162011, 48.156076, 48.308172, 105.244987], [27.980764, 30.628663, 30.701662, 32.578415, 32.872239, 34.626199, 34.969091, 40.986652, 43.334464, 101.773194], [17.971824, 19.503398, 20.928965, 21.317679, 22.669724, 25.158615, 25.465526, 26.108230, 27.488848, 232.728203], [21.979959, 22.360040, 24.881193, 25.377458, 25.852566, 26.218052, 28.846498, 31.078784, 33.540066, 243.230258], [33.130641, 33.138981, 33.530811, 33.902283, 36.104407, 38.069028, 39.593028, 43.039714, 47.497936, 170.084203], [13.780064, 13.813086, 14.002588, 16.228404, 16.287968, 16.496047, 17.236674, 20.357157, 22.730575, 106.078337]]
### 2
fourier: [[71.475118, 72.305406, 77.286139, 91.901149, 92.902764, 93.613039, 94.398890, 95.156446, 97.069922, 330.762385], [59.042851, 62.305123, 66.493023, 78.740786, 79.312499, 80.911752, 81.395625, 82.288244, 86.493574, 347.351091], [4.418237, 4.573463, 4.758556, 4.807981, 4.919737, 4.921475, 4.956282, 5.167229, 5.552088, 78.193800], [34.321079, 36.945753, 37.044441, 42.742322, 42.912363, 43.716416, 44.282548, 44.631741, 46.109409, 149.004068], [23.611077, 25.961385, 26.337255, 30.233916, 31.537559, 31.661211, 33.153568, 33.551772, 34.607645, 114.485075], [18.549512, 20.192928, 21.159490, 23.582042, 25.616665, 26.645262, 27.145512, 27.273426, 35.252608, 127.442363]]
### 4
fourier: [[68.515987, 69.603274, 75.308247, 89.269344, 89.639759, 89.755547, 92.559465, 92.670918, 93.211002, 309.420774], [69.400868, 71.685538, 77.825877, 92.396333, 92.458697, 92.878797, 95.376113, 95.456769, 97.466506, 353.531983], [79.692961, 82.581489, 89.732994, 105.456610, 106.380320, 108.281219, 109.111190, 109.982872, 112.999819, 353.597571], [70.640046, 72.572650, 79.496193, 93.654415, 93.894465, 94.644568, 96.810565, 97.131310, 98.844762, 324.239605], [116.719434, 116.817711, 127.175646, 149.696914, 149.743600, 150.638234, 155.082324, 155.239537, 156.053972, 682.185220], [31.182990, 33.027363, 34.040970, 37.135997, 38.257530, 39.637232, 40.414250, 40.447335, 41.465570, 41.693494]]
### 6
fourier: [[44.659205, 46.222561, 49.328159, 57.013801, 58.222868, 61.095785, 61.515251, 62.194373, 62.923852, 322.801487], [36.481189, 36.937961, 40.778472, 45.715938, 47.577723, 48.050156, 48.809507, 49.245585, 49.376512, 133.819465], [130.621639, 134.188432, 145.150675, 167.453949, 171.430921, 177.990341, 178.861479, 181.227409, 181.259795, 741.934903], [59.765893, 62.146776, 68.073895, 79.188107, 79.792848, 81.515183, 83.225276, 83.522465, 84.445810, 323.830192], [17.369501, 17.959769, 19.345212, 22.319821, 22.809538, 23.863116, 23.872843, 24.224599, 24.368207, 146.431700], [95.371469, 97.136747, 107.221195, 125.712542, 125.760372, 125.763843, 129.973193, 130.609330, 131.554580, 429.511649]]
### 8
fourier: [[32.013970, 32.308567, 35.908527, 41.697525, 42.030331, 42.268459, 43.510148, 43.769739, 44.075446, 106.861550]]
## 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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79.79284808519267, 81.51518300166799, 83.225276412435, 83.52246532778433, 84.44581042343428, 323.83019241690636]}, "4": {"fourier": [17.36950113960803, 17.959768547516678, 19.345212183139363, 22.319820902266564, 22.80953839058579, 23.863116278468976, 23.872842674843188, 24.22459859071099, 24.368206925250576, 146.4316998720169]}, "5": {"fourier": [95.37146864212383, 97.13674653558523, 107.2211947393481, 125.71254210738762, 125.76037244841282, 125.76384253458016, 129.9731932107433, 130.6093295936613, 131.55457957128934, 429.51164930313826]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [32.01396993863246, 32.308567080096196, 35.908527482936506, 41.69752523018903, 42.03033066849835, 42.268458924027456, 43.51014789120513, 43.76973906855862, 44.07544638382224, 106.86154997348785]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.278747, 0.153527, -0.307891, -0.123133, -0.264639], [0.887639, 0.118834, 0.210783, -0.276144, -0.115584], [0.392492, -0.077338, -0.420946, -0.376254, -0.392604], [-0.158419, -0.506649, -0.400249, -0.215749, -0.127807], [0.965035, 0.506819, 0.075897, -0.14404, -0.422441], [0.518354, -0.165673, -0.234347, -0.155355, -0.133601]], "network.0.bias": [0.531889, 0.104081, -0.763001, -0.125823, 0.436711, -0.53437], "network.2.weight": [[0.981806, 0.35729, -0.235411, -0.599121, 1.108482, -0.306825], [0.571235, 0.933121, -0.430826, -0.705473, 0.668583, -0.080124], [-0.037508, -0.041719, 0.035007, 0.319651, 0.063481, -0.991838], [0.364686, -0.053471, -0.303236, -0.983004, 0.808865, 0.091726], [-0.051663, -0.520082, -0.148106, 0.102022, -0.282968, -0.296803], [-0.441441, -0.625294, -0.636135, 0.101904, 0.401578, -0.680761]], "network.2.bias": [-0.32121, 0.547408, -0.858086, -0.401384, 0.011351, -0.791243], "network.4.weight": [[0.34299, 0.450002, -0.198403, 0.5049, 0.112141, -0.443741], [0.543736, 0.463616, -0.160991, 0.11328, 0.342112, -0.190008], [0.292082, 0.832617, -0.228692, 0.275717, 0.362274, 0.508945], [0.547046, 0.451215, -0.643596, 0.153917, 0.440541, 0.442676], [-0.714431, -0.534183, 1.040759, -0.970823, 0.751912, 0.620898], [-0.624313, 0.434367, -0.547683, -0.361796, -0.189451, -0.49121]], "network.4.bias": [-0.439652, -0.04215, -0.717506, -0.405506, -1.050932, 0.656793], "network.6.weight": [[0.119911, -0.584192, -0.251098, 0.084567, 0.326046, -0.646488], [-0.060734, -0.249364, -0.163413, 0.013537, 0.001057, 0.526733], [-0.781425, -0.757536, -0.034757, -0.355774, 0.99683, -0.963908], [-0.074067, -0.191369, -0.385063, -0.164755, 0.521936, -0.070082], [-0.033113, -0.110201, -0.081463, -0.022084, 0.095029, -0.176194], [0.365872, 0.278018, 0.256363, 0.405272, -0.302544, -0.391845]], "network.6.bias": [-0.695166, 0.012302, -0.673497, -0.419963, -0.587741, 0.154617], "network.8.weight": [[-0.139551, -0.003988, 0.018973, -0.293524, -0.098146, -0.33085]], "network.8.bias": [0.350509]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.8028437495231628, "train_acc": 0.41, "val_loss": 0.6911841034889221, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6894955039024353, "train_acc": 0.56, "val_loss": 0.6899176239967346, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6898879110813141, "train_acc": 0.535, "val_loss": 0.6675050258636475, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6585515439510345, "train_acc": 0.555, "val_loss": 0.5997595191001892, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.658847838640213, "train_acc": 0.545, "val_loss": 0.5472323894500732, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5863067805767059, "train_acc": 0.66, "val_loss": 0.4610247015953064, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5325942635536194, "train_acc": 0.735, "val_loss": 0.42875030636787415, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5271125435829163, "train_acc": 0.725, "val_loss": 0.4038619101047516, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5037574172019958, "train_acc": 0.74, "val_loss": 0.39940086007118225, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5067137479782104, "train_acc": 0.73, "val_loss": 0.40433943271636963, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.4889586418867111, "train_acc": 0.75, "val_loss": 0.3984786570072174, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.5520565807819366, "train_acc": 0.74, "val_loss": 0.39770591259002686, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.4806930720806122, "train_acc": 0.765, "val_loss": 0.397542268037796, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.4769810885190964, "train_acc": 0.745, "val_loss": 0.3974193334579468, "val_acc": 0.8}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6911841034889221, "final_val_loss": 0.5997595191001892, "initial_val_acc": 0.62, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5472323894500732, "final_val_loss": 0.3974193334579468, "initial_val_acc": 0.74, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 5}, "improvement": 0.24, "first_improvement_epoch": 3}}
|
141
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{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.42, "improved_accuracy": 0.76, "improvement": 0.34, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6085, "learning_rate": 0.0875077919852199, "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: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.412763,
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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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[
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[
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[
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}
## Activation Signature
### 0
fourier: [[25.874076, 26.110638, 26.303771, 29.917272, 30.629860, 32.241240, 35.676056, 35.941814, 40.600689, 170.180743], [13.612783, 13.786559, 13.905568, 15.784773, 16.863808, 17.692028, 18.939908, 20.172394, 21.573397, 61.674995], [29.449789, 30.691657, 32.213550, 34.304145, 34.405825, 34.621561, 36.565064, 38.882192, 39.680236, 287.077837], [17.645876, 17.793380, 18.281454, 18.586482, 20.432960, 20.900277, 22.867835, 24.935386, 26.596619, 171.957038], [32.489576, 34.299438, 34.429244, 34.518919, 36.771246, 37.793232, 38.316031, 39.896276, 43.071210, 267.537186], [23.764564, 23.904516, 27.479723, 28.827072, 29.309172, 29.784387, 34.289664, 36.087826, 37.792643, 137.498177]]
### 2
fourier: [[14.664743, 14.689689, 15.035369, 15.223542, 15.261361, 15.825258, 16.253602, 18.327621, 23.813748, 65.433978], [7.901389, 8.326539, 9.301891, 9.426772, 9.860651, 10.974505, 11.447096, 12.149643, 12.698152, 37.752375], [25.451066, 25.536012, 25.697686, 27.871864, 28.697020, 29.284797, 29.608369, 31.578955, 37.263944, 171.024961], [14.380520, 14.933906, 15.444407, 15.532114, 17.106104, 18.207802, 19.205561, 20.466118, 22.842145, 226.293511], [25.336840, 27.032956, 27.544958, 28.562563, 28.689381, 29.544912, 31.293082, 35.252242, 41.520769, 183.432092], [25.133716, 25.496243, 25.884256, 26.311108, 28.076317, 29.755018, 30.442963, 31.640487, 40.591326, 107.287722]]
### 4
fourier: [[5.137384, 5.323839, 5.482175, 6.242108, 6.251437, 6.299529, 6.370815, 7.100547, 7.848920, 68.105978], [11.773643, 12.024067, 12.149167, 12.174427, 12.486476, 12.632920, 13.881509, 15.208372, 18.190511, 19.730400], [7.899199, 8.123633, 8.234489, 8.336729, 8.621893, 8.828951, 8.842815, 8.853330, 12.015722, 12.466832], [8.420367, 8.526585, 8.583337, 8.898080, 9.493277, 9.520674, 9.649934, 9.747501, 12.560156, 24.356678], [13.806217, 14.053723, 14.078792, 15.338803, 15.605057, 16.038081, 16.655262, 17.680707, 21.092980, 24.099000], [20.928566, 21.245079, 22.108050, 22.359264, 22.426626, 24.470097, 24.982211, 25.151456, 31.975989, 105.236442]]
### 6
fourier: [[0.972774, 0.994074, 1.005869, 1.037886, 1.134975, 1.145687, 1.174860, 1.326408, 1.530425, 6.722300], [10.466267, 10.800424, 10.861508, 11.531585, 11.569076, 11.655401, 12.420524, 13.567825, 16.924292, 30.883383], [5.280515, 5.415779, 5.427531, 5.737225, 5.893776, 6.710866, 7.442582, 8.541883, 8.925866, 10.393368], [4.039570, 4.269054, 4.377493, 4.414729, 4.431742, 4.980855, 5.161232, 6.893799, 7.332093, 20.836075], [1.686914, 1.748561, 1.780005, 1.814808, 1.859694, 1.962198, 2.018117, 2.066801, 2.549538, 39.592929], [2.277758, 2.365431, 2.468800, 2.540395, 2.555883, 2.600374, 2.774219, 2.919167, 3.510098, 20.403348]]
### 8
fourier: [[2.123529, 2.248859, 2.304817, 2.434722, 2.439952, 2.486580, 2.562434, 2.770909, 3.434104, 9.163097], [1.873897, 1.912186, 2.125266, 2.130501, 2.161632, 2.190008, 2.223834, 2.332892, 2.480808, 2.558209], [6.576782, 6.619088, 6.686197, 6.711849, 6.886800, 6.960308, 7.508527, 8.198496, 10.554627, 39.257986], [4.519851, 4.564341, 4.755913, 5.009417, 5.218995, 5.295602, 5.503386, 5.773915, 7.214356, 12.296751], [1.168718, 1.357794, 1.382453, 1.413314, 1.414720, 1.633905, 1.684077, 1.807896, 2.136682, 8.903448], [2.362010, 2.391390, 2.401696, 2.416414, 2.475236, 2.539087, 2.982387, 3.051840, 3.398489, 29.123826]]
### 10
fourier: [[0.938814, 0.950194, 0.987024, 1.034000, 1.034652, 1.036285, 1.147716, 1.236381, 1.420930, 3.271334]]
## 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: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[25.874076, 26.110638, 26.303771, 29.917272, 30.629860, 32.241240, 35.676056, 35.941814, 40.600689, 170.180743], [13.612783, 13.786559, 13.905568, 15.784773, 16.863808, 17.692028, 18.939908, 20.172394, 21.573397, 61.674995], [29.449789, 30.691657, 32.213550, 34.304145, 34.405825, 34.621561, 36.565064, 38.882192, 39.680236, 287.077837], [17.645876, 17.793380, 18.281454, 18.586482, 20.432960, 20.900277, 22.867835, 24.935386, 26.596619, 171.957038], [32.489576, 34.299438, 34.429244, 34.518919, 36.771246, 37.793232, 38.316031, 39.896276, 43.071210, 267.537186], [23.764564, 23.904516, 27.479723, 28.827072, 29.309172, 29.784387, 34.289664, 36.087826, 37.792643, 137.498177]]
### 2
fourier: [[14.664743, 14.689689, 15.035369, 15.223542, 15.261361, 15.825258, 16.253602, 18.327621, 23.813748, 65.433978], [7.901389, 8.326539, 9.301891, 9.426772, 9.860651, 10.974505, 11.447096, 12.149643, 12.698152, 37.752375], [25.451066, 25.536012, 25.697686, 27.871864, 28.697020, 29.284797, 29.608369, 31.578955, 37.263944, 171.024961], [14.380520, 14.933906, 15.444407, 15.532114, 17.106104, 18.207802, 19.205561, 20.466118, 22.842145, 226.293511], [25.336840, 27.032956, 27.544958, 28.562563, 28.689381, 29.544912, 31.293082, 35.252242, 41.520769, 183.432092], [25.133716, 25.496243, 25.884256, 26.311108, 28.076317, 29.755018, 30.442963, 31.640487, 40.591326, 107.287722]]
### 4
fourier: [[5.137384, 5.323839, 5.482175, 6.242108, 6.251437, 6.299529, 6.370815, 7.100547, 7.848920, 68.105978], [11.773643, 12.024067, 12.149167, 12.174427, 12.486476, 12.632920, 13.881509, 15.208372, 18.190511, 19.730400], [7.899199, 8.123633, 8.234489, 8.336729, 8.621893, 8.828951, 8.842815, 8.853330, 12.015722, 12.466832], [8.420367, 8.526585, 8.583337, 8.898080, 9.493277, 9.520674, 9.649934, 9.747501, 12.560156, 24.356678], [13.806217, 14.053723, 14.078792, 15.338803, 15.605057, 16.038081, 16.655262, 17.680707, 21.092980, 24.099000], [20.928566, 21.245079, 22.108050, 22.359264, 22.426626, 24.470097, 24.982211, 25.151456, 31.975989, 105.236442]]
### 6
fourier: [[0.972774, 0.994074, 1.005869, 1.037886, 1.134975, 1.145687, 1.174860, 1.326408, 1.530425, 6.722300], [10.466267, 10.800424, 10.861508, 11.531585, 11.569076, 11.655401, 12.420524, 13.567825, 16.924292, 30.883383], [5.280515, 5.415779, 5.427531, 5.737225, 5.893776, 6.710866, 7.442582, 8.541883, 8.925866, 10.393368], [4.039570, 4.269054, 4.377493, 4.414729, 4.431742, 4.980855, 5.161232, 6.893799, 7.332093, 20.836075], [1.686914, 1.748561, 1.780005, 1.814808, 1.859694, 1.962198, 2.018117, 2.066801, 2.549538, 39.592929], [2.277758, 2.365431, 2.468800, 2.540395, 2.555883, 2.600374, 2.774219, 2.919167, 3.510098, 20.403348]]
### 8
fourier: [[2.123529, 2.248859, 2.304817, 2.434722, 2.439952, 2.486580, 2.562434, 2.770909, 3.434104, 9.163097], [1.873897, 1.912186, 2.125266, 2.130501, 2.161632, 2.190008, 2.223834, 2.332892, 2.480808, 2.558209], [6.576782, 6.619088, 6.686197, 6.711849, 6.886800, 6.960308, 7.508527, 8.198496, 10.554627, 39.257986], [4.519851, 4.564341, 4.755913, 5.009417, 5.218995, 5.295602, 5.503386, 5.773915, 7.214356, 12.296751], [1.168718, 1.357794, 1.382453, 1.413314, 1.414720, 1.633905, 1.684077, 1.807896, 2.136682, 8.903448], [2.362010, 2.391390, 2.401696, 2.416414, 2.475236, 2.539087, 2.982387, 3.051840, 3.398489, 29.123826]]
### 10
fourier: [[0.938814, 0.950194, 0.987024, 1.034000, 1.034652, 1.036285, 1.147716, 1.236381, 1.420930, 3.271334]]
## 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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"layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [0.9388139130211726, 0.950193579416094, 0.9870236483852237, 1.0339998973704396, 1.0346521849180974, 1.0362851210258064, 1.1477164383210219, 1.2363805110230661, 1.4209301542566208, 3.2713338201865554]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.412763, -0.919558, 0.191676, -0.425513, -0.096151], [-0.142478, 0.464924, -0.205445, 0.240917, 0.086326], [-0.340227, 0.760818, 0.368988, 0.539991, 0.214838], [-0.402305, 0.264036, 0.23053, 0.374339, 0.334269], [-0.615382, -0.636523, -0.376223, -0.016651, -0.032221], [0.878998, -0.029623, 0.160304, 0.032228, -0.402466]], "network.0.bias": [-0.098232, -0.17856, 0.033046, 0.233582, -0.185605, 0.580279], "network.2.weight": [[0.111552, -0.506813, -0.272913, -0.01644, -0.06273, 0.260236], [-0.255348, 0.211137, 0.396686, -0.511014, 0.60138, 0.048113], [-0.039322, 0.567629, 0.34652, 0.514266, 0.81291, -0.202621], [-0.171674, 0.474601, -0.295427, -0.635263, 0.399812, 0.048226], [0.399937, -0.568616, -0.194989, -0.799232, -0.719369, 0.240779], [0.534035, -0.851586, -0.302862, -0.372188, -0.149643, 0.29119]], "network.2.bias": [0.131797, -0.052772, -0.235638, -0.773095, 0.064585, 0.595064], "network.4.weight": [[-0.293962, 0.253725, 0.093446, -0.081756, -0.100818, -0.146483], [-0.139339, 0.033996, 0.283535, 0.119864, -0.432516, -0.610928], [0.081151, -0.146462, 0.022889, 0.183139, -0.449292, -0.777351], [0.622651, -0.280603, -0.188834, -0.059746, 0.089909, 0.086608], [-0.807605, 0.376906, 0.242921, 0.016744, 0.070054, -0.839097], [-0.013279, -0.196292, -0.687628, -0.086438, 0.439459, 0.597691]], "network.4.bias": [0.538409, -0.15573, 0.352303, 0.130869, -0.311336, 0.056329], "network.6.weight": [[-0.011777, -0.177707, 0.356269, 0.148101, 0.170476, -0.14587], [0.043431, 0.447904, -0.554839, -0.658802, 0.59753, -0.617345], [0.571301, -0.282872, -0.132512, -0.06047, 0.306933, -0.472776], [0.183803, 0.045273, -0.113627, 0.22285, -0.361668, 0.452569], [0.59772, -0.144767, 0.470871, -0.02792, -0.319765, 0.428904], [0.077339, 0.14588, -0.008211, -0.277115, 0.073098, 0.039462]], "network.6.bias": [0.046978, 0.147964, -0.1443, 0.165403, 0.082462, -0.354105], "network.8.weight": [[0.495678, -0.176042, -0.065405, 0.391742, -0.028665, 0.169443], [0.151043, 0.272379, -0.132211, 0.271982, -0.662181, 0.339193], [-0.535566, 0.502921, -0.139216, -0.900729, -0.704286, 0.106764], [-0.117559, -0.331121, -0.170512, 0.504713, 0.302376, -0.246195], [0.015499, 0.001917, 0.761423, 0.19178, 0.242777, -0.277154], [0.224519, -0.322061, -0.131279, 0.159353, -0.099685, 0.559675]], "network.8.bias": [0.116982, 0.050745, -0.227665, 0.10456, -0.33286, -0.132812], "network.10.weight": [[0.007404, -0.017918, 0.275388, -0.217142, 0.01646, 0.075068]], "network.10.bias": [0.018572]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6794145107269287, "train_acc": 0.505, "val_loss": 0.7964103817939758, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6781354546546936, "train_acc": 0.595, "val_loss": 0.738584578037262, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6929599344730377, "train_acc": 0.52, "val_loss": 0.6605300307273865, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6846430003643036, "train_acc": 0.545, "val_loss": 0.6368890404701233, "val_acc": 0.62}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6693709790706635, "train_acc": 0.555, "val_loss": 0.6408168077468872, "val_acc": 0.64}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6951435506343842, "train_acc": 0.515, "val_loss": 0.6560635566711426, "val_acc": 0.62}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6792383790016174, "train_acc": 0.535, "val_loss": 0.6509778499603271, "val_acc": 0.76}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.7964103817939758, "final_val_loss": 0.738584578037262, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.6605300307273865, "final_val_loss": 0.6509778499603271, "initial_val_acc": 0.64, "final_val_acc": 0.76, "best_val_acc": 0.76, "best_epoch": 6}, "improvement": 0.34, "first_improvement_epoch": 1}}
|
142
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.42, "improved_accuracy": 0.88, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1382, "learning_rate": 0.07895096541328568, "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: 5
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: [[34.529269, 37.652773, 39.222019, 40.481851, 40.940290, 41.799457, 44.621256, 45.486135, 50.913417, 159.681331], [63.167037, 65.078781, 68.187664, 69.270416, 71.204362, 78.013396, 81.806589, 81.915057, 82.713808, 459.699643], [41.952927, 43.060003, 49.855891, 49.915193, 56.595355, 57.187219, 60.058537, 60.234479, 67.263620, 231.111210], [23.875308, 25.719862, 26.589199, 26.826586, 27.234338, 27.569037, 30.451523, 30.481974, 33.844266, 102.894194], [42.052175, 42.836726, 44.914367, 49.514091, 50.853423, 52.739305, 52.890339, 53.962487, 61.314149, 280.429153], [47.736675, 50.151812, 50.640804, 51.585803, 53.577239, 53.657828, 55.174612, 59.014467, 62.626866, 266.297405], [64.137724, 66.984792, 67.009197, 71.799554, 72.917916, 75.201065, 78.669723, 82.531422, 89.731817, 448.762202]]
### 2
fourier: [[80.749621, 82.529369, 88.318952, 91.724487, 98.751039, 104.593701, 109.613469, 110.200321, 111.792797, 563.243846], [88.046886, 89.752214, 93.295073, 98.836612, 105.320236, 111.434171, 120.811878, 121.856635, 125.221871, 626.954910], [93.963511, 93.991981, 97.236782, 99.715773, 111.202705, 112.118842, 118.087563, 118.240082, 126.654150, 655.436490], [102.230998, 103.517872, 105.631803, 106.009124, 116.770606, 127.368545, 127.729254, 132.083555, 138.272387, 718.139171], [105.517678, 111.022543, 113.332166, 118.061819, 120.297942, 125.511204, 133.540842, 137.781408, 142.972425, 757.556465], [62.522305, 65.209429, 68.252736, 73.321287, 78.882449, 81.440287, 86.308430, 89.758441, 90.747925, 416.503310], [120.582268, 130.008031, 132.421486, 137.676378, 140.672505, 144.343705, 153.003620, 159.867347, 166.509655, 880.702672]]
### 4
fourier: [[66.009776, 66.371687, 69.129593, 70.313056, 78.692154, 81.221686, 83.378790, 84.366331, 85.877943, 410.627034], [56.148289, 56.533499, 59.845268, 63.219341, 67.245762, 72.696374, 76.640602, 77.200552, 77.603628, 386.025056], [199.581076, 204.196580, 204.291133, 213.418371, 233.052828, 245.496695, 262.363310, 266.795804, 266.799070, 1399.313657], [72.961820, 73.318720, 74.413539, 80.039061, 87.438347, 93.743949, 94.734371, 98.060056, 100.113579, 500.836532], [166.194994, 167.134810, 169.042160, 175.318510, 189.240329, 200.421701, 215.826224, 217.574247, 220.180423, 1163.965567], [59.993368, 60.795446, 61.077222, 64.968209, 73.042794, 75.428710, 77.304734, 78.248531, 83.076935, 367.667911], [165.533592, 166.399577, 169.754781, 173.964501, 187.519402, 201.578835, 215.118811, 216.378280, 219.109838, 1166.239101]]
### 6
fourier: [[129.189327, 130.017961, 130.473510, 140.416004, 154.183716, 165.376311, 165.519101, 172.525418, 178.188352, 889.804922], [54.407310, 54.759185, 54.772940, 59.255791, 64.577009, 68.681836, 70.885239, 73.288289, 74.892103, 370.991413], [64.087579, 64.491029, 65.062569, 66.204036, 71.520602, 74.861525, 83.499180, 83.715567, 83.801137, 439.437820], [68.050978, 69.898807, 71.125448, 75.384907, 83.417880, 86.094832, 91.181015, 91.665410, 96.977552, 432.475241], [76.822985, 77.838354, 81.809243, 86.690490, 96.387536, 97.095143, 104.449679, 105.113865, 111.445567, 499.156473], [85.931350, 86.246810, 87.272929, 89.451241, 97.514807, 100.848877, 110.717727, 112.574303, 112.627987, 614.173816], [70.652706, 70.867083, 70.969015, 76.691052, 84.435127, 90.296592, 90.385060, 94.135117, 96.907596, 456.481973]]
### 8
fourier: [[104.053335, 104.092879, 110.147160, 117.309173, 129.669797, 134.072962, 140.404887, 142.867280, 149.876922, 698.828228], [78.398342, 78.485656, 78.572878, 84.813704, 92.669114, 98.453052, 101.717638, 104.867873, 107.072449, 510.210517], [227.617777, 227.817482, 228.093526, 245.915668, 268.726292, 285.766580, 295.558976, 304.794519, 310.914145, 1566.433313], [34.407218, 35.612183, 36.177012, 37.585577, 37.672051, 38.822940, 41.516488, 45.897356, 48.806018, 311.329695], [78.734085, 80.531471, 80.624851, 85.179147, 92.729147, 97.618845, 104.995610, 106.671706, 107.383145, 510.544222], [58.342861, 58.824659, 62.569305, 66.132489, 73.239611, 74.806850, 79.873808, 80.315779, 85.080606, 380.919725], [116.165328, 117.961800, 118.088466, 125.781845, 137.260289, 145.063610, 153.465636, 156.847890, 158.684262, 756.531306]]
### 10
fourier: [[141.406267, 142.898000, 143.487587, 154.607964, 168.492798, 176.541327, 189.944303, 193.231494, 194.402081, 976.892587]]
## 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: 5
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: [[34.529269, 37.652773, 39.222019, 40.481851, 40.940290, 41.799457, 44.621256, 45.486135, 50.913417, 159.681331], [63.167037, 65.078781, 68.187664, 69.270416, 71.204362, 78.013396, 81.806589, 81.915057, 82.713808, 459.699643], [41.952927, 43.060003, 49.855891, 49.915193, 56.595355, 57.187219, 60.058537, 60.234479, 67.263620, 231.111210], [23.875308, 25.719862, 26.589199, 26.826586, 27.234338, 27.569037, 30.451523, 30.481974, 33.844266, 102.894194], [42.052175, 42.836726, 44.914367, 49.514091, 50.853423, 52.739305, 52.890339, 53.962487, 61.314149, 280.429153], [47.736675, 50.151812, 50.640804, 51.585803, 53.577239, 53.657828, 55.174612, 59.014467, 62.626866, 266.297405], [64.137724, 66.984792, 67.009197, 71.799554, 72.917916, 75.201065, 78.669723, 82.531422, 89.731817, 448.762202]]
### 2
fourier: [[80.749621, 82.529369, 88.318952, 91.724487, 98.751039, 104.593701, 109.613469, 110.200321, 111.792797, 563.243846], [88.046886, 89.752214, 93.295073, 98.836612, 105.320236, 111.434171, 120.811878, 121.856635, 125.221871, 626.954910], [93.963511, 93.991981, 97.236782, 99.715773, 111.202705, 112.118842, 118.087563, 118.240082, 126.654150, 655.436490], [102.230998, 103.517872, 105.631803, 106.009124, 116.770606, 127.368545, 127.729254, 132.083555, 138.272387, 718.139171], [105.517678, 111.022543, 113.332166, 118.061819, 120.297942, 125.511204, 133.540842, 137.781408, 142.972425, 757.556465], [62.522305, 65.209429, 68.252736, 73.321287, 78.882449, 81.440287, 86.308430, 89.758441, 90.747925, 416.503310], [120.582268, 130.008031, 132.421486, 137.676378, 140.672505, 144.343705, 153.003620, 159.867347, 166.509655, 880.702672]]
### 4
fourier: [[66.009776, 66.371687, 69.129593, 70.313056, 78.692154, 81.221686, 83.378790, 84.366331, 85.877943, 410.627034], [56.148289, 56.533499, 59.845268, 63.219341, 67.245762, 72.696374, 76.640602, 77.200552, 77.603628, 386.025056], [199.581076, 204.196580, 204.291133, 213.418371, 233.052828, 245.496695, 262.363310, 266.795804, 266.799070, 1399.313657], [72.961820, 73.318720, 74.413539, 80.039061, 87.438347, 93.743949, 94.734371, 98.060056, 100.113579, 500.836532], [166.194994, 167.134810, 169.042160, 175.318510, 189.240329, 200.421701, 215.826224, 217.574247, 220.180423, 1163.965567], [59.993368, 60.795446, 61.077222, 64.968209, 73.042794, 75.428710, 77.304734, 78.248531, 83.076935, 367.667911], [165.533592, 166.399577, 169.754781, 173.964501, 187.519402, 201.578835, 215.118811, 216.378280, 219.109838, 1166.239101]]
### 6
fourier: [[129.189327, 130.017961, 130.473510, 140.416004, 154.183716, 165.376311, 165.519101, 172.525418, 178.188352, 889.804922], [54.407310, 54.759185, 54.772940, 59.255791, 64.577009, 68.681836, 70.885239, 73.288289, 74.892103, 370.991413], [64.087579, 64.491029, 65.062569, 66.204036, 71.520602, 74.861525, 83.499180, 83.715567, 83.801137, 439.437820], [68.050978, 69.898807, 71.125448, 75.384907, 83.417880, 86.094832, 91.181015, 91.665410, 96.977552, 432.475241], [76.822985, 77.838354, 81.809243, 86.690490, 96.387536, 97.095143, 104.449679, 105.113865, 111.445567, 499.156473], [85.931350, 86.246810, 87.272929, 89.451241, 97.514807, 100.848877, 110.717727, 112.574303, 112.627987, 614.173816], [70.652706, 70.867083, 70.969015, 76.691052, 84.435127, 90.296592, 90.385060, 94.135117, 96.907596, 456.481973]]
### 8
fourier: [[104.053335, 104.092879, 110.147160, 117.309173, 129.669797, 134.072962, 140.404887, 142.867280, 149.876922, 698.828228], [78.398342, 78.485656, 78.572878, 84.813704, 92.669114, 98.453052, 101.717638, 104.867873, 107.072449, 510.210517], [227.617777, 227.817482, 228.093526, 245.915668, 268.726292, 285.766580, 295.558976, 304.794519, 310.914145, 1566.433313], [34.407218, 35.612183, 36.177012, 37.585577, 37.672051, 38.822940, 41.516488, 45.897356, 48.806018, 311.329695], [78.734085, 80.531471, 80.624851, 85.179147, 92.729147, 97.618845, 104.995610, 106.671706, 107.383145, 510.544222], [58.342861, 58.824659, 62.569305, 66.132489, 73.239611, 74.806850, 79.873808, 80.315779, 85.080606, 380.919725], [116.165328, 117.961800, 118.088466, 125.781845, 137.260289, 145.063610, 153.465636, 156.847890, 158.684262, 756.531306]]
### 10
fourier: [[141.406267, 142.898000, 143.487587, 154.607964, 168.492798, 176.541327, 189.944303, 193.231494, 194.402081, 976.892587]]
## 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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158.6842619797106, 756.5313056111336]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [141.4062673057148, 142.8980002516656, 143.4875870958115, 154.60796403545802, 168.4927982103105, 176.54132730862432, 189.94430311978323, 193.23149357252512, 194.4020809239921, 976.8925868868828]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.668892, -0.714795, -0.474153, 0.334699, 0.514862], [1.495895, 1.093602, 0.643685, 0.084471, -0.442308], [-0.811546, -1.262959, -0.153131, -0.080224, 0.616668], [0.830307, -0.153285, -0.711482, -0.078963, -0.066301], [0.895428, 1.018758, 0.1883, 0.116237, -0.491435], [1.211173, 0.722294, 0.365373, -0.106738, -0.18592], [1.562428, 1.381486, 0.027197, 0.297703, -0.441104]], "network.0.bias": [-0.001608, 0.273213, 0.474766, -0.15991, 0.108668, -0.169585, 0.373327], "network.2.weight": [[-0.561854, 0.619025, -0.086558, -0.157762, 0.546337, 0.225704, 0.190064], [-0.235695, 0.866618, -0.910392, 0.159639, 0.328438, 0.07106, 0.273267], [-0.444494, 0.547023, -0.005562, -0.217465, 0.86481, -0.14114, 0.44573], [-0.057862, 0.432455, -0.752137, -0.052941, 0.54759, 0.28526, 0.594311], [-0.444803, -0.682026, -0.221718, -0.393732, -0.311325, -0.703766, -0.297141], [0.440582, -0.617468, 0.480992, 0.209052, -0.18445, -0.092069, -0.239947], [-0.392411, -0.766899, -0.631126, -0.459803, -0.785957, -0.879609, -0.049578]], "network.2.bias": [-0.061975, 0.107489, 0.12678, 0.403542, -0.189079, 0.35645, -0.276291], "network.4.weight": [[-1.221012, 0.290933, -0.471552, 0.527129, 0.642133, 0.036297, 0.621235], [-0.568273, -0.057915, 0.208177, -0.234123, -0.120501, 0.542684, -0.216341], [0.563258, 0.579375, 0.711835, 0.354854, 0.140829, -0.234734, 0.353201], [-0.418816, -0.104437, -0.227868, -0.074816, -0.526608, 0.51663, -0.690592], [-0.754014, -0.453908, -0.312514, -0.324233, -0.346109, -0.165823, -0.174512], [-0.312283, 0.026164, -0.388137, 0.006424, -0.401004, 0.677745, -0.266899], [-0.563235, -0.28245, 0.029725, -0.942599, 0.232894, -0.028554, 0.094818]], "network.4.bias": [0.355173, -0.011984, -0.143309, -0.013314, -0.0249, 0.370307, -0.01622], "network.6.weight": [[0.021224, -0.293268, 0.638901, -0.440634, 0.366354, -0.886655, -0.015643], [0.11624, 0.216007, 0.26936, 0.111018, 0.372071, -0.661391, 0.260182], [0.923404, -0.250346, 0.315049, 0.267953, 0.368876, 0.022559, 0.464493], [-0.318073, 0.371352, -0.339791, 0.84508, -0.204997, 0.374309, 0.243714], [-0.298046, -0.446899, 0.382799, -1.051447, 0.401749, -0.570198, 0.362039], [0.413743, -0.01577, -0.423845, 0.061299, -0.146874, -0.319202, 0.070965], [0.336495, 0.112165, -0.349081, 0.417343, 0.231571, 0.357458, -0.053632]], "network.6.bias": [0.116154, 0.005135, -0.038447, 0.351116, -0.209012, -0.180187, 0.275265], "network.8.weight": [[0.421134, 0.369904, -0.085512, -0.848215, 0.459611, 0.290178, -0.95726], [-0.200387, -0.159308, -0.1193, 0.436745, -0.468394, -0.246242, 0.098796], [0.881508, 0.515675, 0.585281, -0.986397, 0.621749, 0.307295, -0.668984], [0.058572, -0.29286, -0.138857, -0.463594, -0.238551, -0.065491, -0.333455], [-0.486932, 0.376864, -0.49843, 0.134131, -0.076971, -0.275579, 0.149798], [0.227236, -0.173261, 0.242859, -0.556005, 0.302855, 0.18192, -0.621566], [-0.560639, -0.005059, -0.460105, 0.264141, -0.200053, 0.00718, 0.363176]], "network.8.bias": [0.025914, 0.20959, 0.20775, -0.63526, 0.474934, -0.077462, 0.560876], "network.10.weight": [[-0.32686, 0.460361, -0.432728, 0.013502, 0.300871, -0.174168, 0.42876]], "network.10.bias": [0.038661]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6856449544429779, "train_acc": 0.58, "val_loss": 0.7381460070610046, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6746505498886108, "train_acc": 0.58, "val_loss": 0.6908380389213562, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5520554184913635, "train_acc": 0.63, "val_loss": 0.9413988590240479, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.465862438082695, "train_acc": 0.8, "val_loss": 0.41248375177383423, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3828497380018234, "train_acc": 0.845, "val_loss": 0.39791393280029297, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.36033254861831665, "train_acc": 0.855, "val_loss": 0.3824547529220581, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3382022827863693, "train_acc": 0.86, "val_loss": 0.3420882821083069, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3020872324705124, "train_acc": 0.865, "val_loss": 0.307373970746994, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.27683575451374054, "train_acc": 0.87, "val_loss": 0.2929586172103882, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.26508715748786926, "train_acc": 0.89, "val_loss": 0.3175289034843445, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2346721589565277, "train_acc": 0.915, "val_loss": 0.4158732295036316, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.19987700879573822, "train_acc": 0.92, "val_loss": 0.3603540360927582, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7381460070610046, "final_val_loss": 0.6908380389213562, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.9413988590240479, "final_val_loss": 0.3603540360927582, "initial_val_acc": 0.66, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 8}, "improvement": 0.46, "first_improvement_epoch": 1}}
|
143
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.92, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9054, "learning_rate": 0.06650441325857412, "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: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.870249,
-0.275678,
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0.040608
],
[
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0.151058
],
[
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-0.407243
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[
0.966136,
0.075246,
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0.263304
],
[
1.042498,
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0.592894,
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],
[
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]
],
"network.0.bias": [
0.145375,
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],
"network.2.weight": [
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[
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0.843203
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[
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],
[
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0.46264
],
[
1.186602,
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0.889172
],
[
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]
],
"network.2.bias": [
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"network.4.weight": [
[
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[
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[
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[
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[
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"network.4.bias": [
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"network.6.weight": [
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[
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[
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[
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"network.8.weight": [
[
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[
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[
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[
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[
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"network.8.bias": [
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],
"network.10.weight": [
[
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],
"network.10.bias": [
1.138165
]
}
## Activation Signature
### 0
fourier: [[22.633945, 24.223561, 26.867388, 27.810653, 27.856130, 28.830495, 30.847399, 32.236776, 42.659540, 52.794554], [33.064959, 37.192363, 38.032367, 40.383444, 40.964852, 43.349738, 44.519734, 52.411683, 55.683043, 383.236103], [28.476775, 28.572670, 30.124918, 30.197321, 30.823215, 32.664065, 33.586179, 37.838118, 44.420729, 320.404408], [33.010467, 33.801604, 38.416965, 39.807545, 41.291577, 43.991926, 48.341791, 52.023959, 58.190854, 357.165673], [40.409733, 42.663163, 43.439976, 46.603777, 49.333161, 51.202934, 54.053807, 58.398050, 62.570381, 338.728642], [32.456990, 32.682455, 32.730086, 35.764586, 36.266603, 37.378865, 40.823015, 41.004816, 43.268932, 107.864590]]
### 2
fourier: [[12.772757, 14.866296, 15.089782, 16.209887, 17.107309, 17.168774, 18.748113, 19.686467, 22.133116, 23.952700], [71.066025, 76.884072, 80.270803, 83.117292, 84.625671, 87.792572, 90.527602, 93.343101, 97.392721, 440.036010], [18.726409, 20.483826, 21.021193, 22.096870, 24.923132, 26.256809, 26.517131, 33.659170, 35.693581, 36.424899], [71.761577, 80.122113, 81.370373, 82.863108, 86.183683, 93.180720, 99.287025, 100.295350, 104.547151, 472.451939], [48.397241, 50.084027, 57.596411, 59.335397, 59.779440, 63.620805, 65.119344, 66.372689, 71.001657, 206.285686], [24.487279, 25.662980, 27.118074, 28.724107, 29.465621, 31.405590, 33.312839, 33.766992, 38.514154, 197.310997]]
### 4
fourier: [[28.036708, 29.693944, 32.098145, 32.734578, 33.393062, 36.574299, 37.037660, 38.054490, 43.352793, 231.718914], [53.301746, 55.721392, 55.869264, 62.887733, 63.041289, 63.639017, 63.947544, 64.532576, 66.569570, 370.071221], [47.553395, 48.174835, 48.736354, 54.289518, 56.371130, 59.851438, 60.217537, 61.261496, 63.703687, 250.186262], [98.195873, 101.362953, 110.179687, 117.910716, 123.392239, 125.105840, 127.608666, 129.896912, 137.290071, 467.736563], [110.970506, 115.155270, 121.749535, 127.860985, 130.529403, 135.605855, 139.084197, 139.727868, 147.239030, 753.528401], [118.552555, 118.746413, 120.264345, 134.789526, 138.442897, 147.197627, 148.291962, 149.794230, 153.739617, 593.476378]]
### 6
fourier: [[12.443848, 12.581463, 13.641006, 14.043953, 14.853032, 15.489802, 15.576147, 16.109212, 18.101317, 130.094239], [54.038600, 54.263945, 58.067627, 64.016334, 66.625816, 66.809755, 67.502243, 69.099858, 73.554473, 333.308695], [80.180510, 80.461046, 85.591543, 93.975052, 97.983831, 99.884823, 99.886037, 102.694267, 108.257302, 386.500293], [79.927922, 80.476940, 86.455323, 94.481723, 98.847274, 99.678657, 100.007948, 102.890164, 109.026114, 393.254577], [76.836268, 77.659178, 84.637785, 91.955583, 95.948125, 96.597792, 96.628282, 99.540778, 106.325822, 393.044930], [83.993010, 84.371568, 89.872651, 98.568950, 102.848652, 104.663071, 104.781610, 107.709572, 113.600297, 392.594986]]
### 8
fourier: [[62.335913, 62.840398, 68.432441, 74.552660, 77.849202, 77.981778, 78.158275, 80.553721, 86.151252, 325.331487], [66.064327, 66.170893, 72.414690, 79.014534, 82.047673, 82.253756, 82.785578, 84.937619, 91.193482, 347.066565], [72.615315, 72.760867, 79.840125, 87.082648, 90.129982, 90.314863, 91.365537, 93.272544, 100.404152, 334.167644], [77.254044, 77.931807, 85.364490, 92.672686, 96.408825, 96.931750, 97.426288, 100.044780, 107.176428, 408.496443], [129.661397, 129.844162, 142.392735, 155.188513, 161.205824, 161.233956, 162.843030, 166.681463, 179.065251, 603.639149], [85.557053, 85.808008, 93.897400, 102.585415, 106.053588, 106.548856, 107.468224, 109.867823, 118.246655, 394.243670]]
### 10
fourier: [[108.068330, 109.084412, 121.082375, 131.160726, 134.518773, 134.534425, 138.378067, 139.192340, 150.958232, 422.143120]]
## 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: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.040608
],
[
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0.151058
],
[
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-0.243951,
-0.407243
],
[
0.966136,
0.075246,
0.367693,
0.582356,
0.263304
],
[
1.042498,
0.236518,
0.633351,
0.592894,
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],
[
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0.729553,
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]
],
"network.0.bias": [
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],
"network.2.weight": [
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],
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0.494215,
0.843203
],
[
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],
[
0.945318,
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0.688175,
0.46264
],
[
1.186602,
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0.206916,
0.889172
],
[
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]
],
"network.2.bias": [
0.636415,
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0.789473,
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0.303176
],
"network.4.weight": [
[
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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.4.bias": [
0.079814,
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],
"network.6.weight": [
[
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[
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[
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0.516781
]
],
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"network.8.weight": [
[
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"network.8.bias": [
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],
"network.10.weight": [
[
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0.245428,
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]
],
"network.10.bias": [
1.138165
]
}
## Activation Signature
### 0
fourier: [[22.633945, 24.223561, 26.867388, 27.810653, 27.856130, 28.830495, 30.847399, 32.236776, 42.659540, 52.794554], [33.064959, 37.192363, 38.032367, 40.383444, 40.964852, 43.349738, 44.519734, 52.411683, 55.683043, 383.236103], [28.476775, 28.572670, 30.124918, 30.197321, 30.823215, 32.664065, 33.586179, 37.838118, 44.420729, 320.404408], [33.010467, 33.801604, 38.416965, 39.807545, 41.291577, 43.991926, 48.341791, 52.023959, 58.190854, 357.165673], [40.409733, 42.663163, 43.439976, 46.603777, 49.333161, 51.202934, 54.053807, 58.398050, 62.570381, 338.728642], [32.456990, 32.682455, 32.730086, 35.764586, 36.266603, 37.378865, 40.823015, 41.004816, 43.268932, 107.864590]]
### 2
fourier: [[12.772757, 14.866296, 15.089782, 16.209887, 17.107309, 17.168774, 18.748113, 19.686467, 22.133116, 23.952700], [71.066025, 76.884072, 80.270803, 83.117292, 84.625671, 87.792572, 90.527602, 93.343101, 97.392721, 440.036010], [18.726409, 20.483826, 21.021193, 22.096870, 24.923132, 26.256809, 26.517131, 33.659170, 35.693581, 36.424899], [71.761577, 80.122113, 81.370373, 82.863108, 86.183683, 93.180720, 99.287025, 100.295350, 104.547151, 472.451939], [48.397241, 50.084027, 57.596411, 59.335397, 59.779440, 63.620805, 65.119344, 66.372689, 71.001657, 206.285686], [24.487279, 25.662980, 27.118074, 28.724107, 29.465621, 31.405590, 33.312839, 33.766992, 38.514154, 197.310997]]
### 4
fourier: [[28.036708, 29.693944, 32.098145, 32.734578, 33.393062, 36.574299, 37.037660, 38.054490, 43.352793, 231.718914], [53.301746, 55.721392, 55.869264, 62.887733, 63.041289, 63.639017, 63.947544, 64.532576, 66.569570, 370.071221], [47.553395, 48.174835, 48.736354, 54.289518, 56.371130, 59.851438, 60.217537, 61.261496, 63.703687, 250.186262], [98.195873, 101.362953, 110.179687, 117.910716, 123.392239, 125.105840, 127.608666, 129.896912, 137.290071, 467.736563], [110.970506, 115.155270, 121.749535, 127.860985, 130.529403, 135.605855, 139.084197, 139.727868, 147.239030, 753.528401], [118.552555, 118.746413, 120.264345, 134.789526, 138.442897, 147.197627, 148.291962, 149.794230, 153.739617, 593.476378]]
### 6
fourier: [[12.443848, 12.581463, 13.641006, 14.043953, 14.853032, 15.489802, 15.576147, 16.109212, 18.101317, 130.094239], [54.038600, 54.263945, 58.067627, 64.016334, 66.625816, 66.809755, 67.502243, 69.099858, 73.554473, 333.308695], [80.180510, 80.461046, 85.591543, 93.975052, 97.983831, 99.884823, 99.886037, 102.694267, 108.257302, 386.500293], [79.927922, 80.476940, 86.455323, 94.481723, 98.847274, 99.678657, 100.007948, 102.890164, 109.026114, 393.254577], [76.836268, 77.659178, 84.637785, 91.955583, 95.948125, 96.597792, 96.628282, 99.540778, 106.325822, 393.044930], [83.993010, 84.371568, 89.872651, 98.568950, 102.848652, 104.663071, 104.781610, 107.709572, 113.600297, 392.594986]]
### 8
fourier: [[62.335913, 62.840398, 68.432441, 74.552660, 77.849202, 77.981778, 78.158275, 80.553721, 86.151252, 325.331487], [66.064327, 66.170893, 72.414690, 79.014534, 82.047673, 82.253756, 82.785578, 84.937619, 91.193482, 347.066565], [72.615315, 72.760867, 79.840125, 87.082648, 90.129982, 90.314863, 91.365537, 93.272544, 100.404152, 334.167644], [77.254044, 77.931807, 85.364490, 92.672686, 96.408825, 96.931750, 97.426288, 100.044780, 107.176428, 408.496443], [129.661397, 129.844162, 142.392735, 155.188513, 161.205824, 161.233956, 162.843030, 166.681463, 179.065251, 603.639149], [85.557053, 85.808008, 93.897400, 102.585415, 106.053588, 106.548856, 107.468224, 109.867823, 118.246655, 394.243670]]
### 10
fourier: [[108.068330, 109.084412, 121.082375, 131.160726, 134.518773, 134.534425, 138.378067, 139.192340, 150.958232, 422.143120]]
## 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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26.256809410875412, 26.517130670768147, 33.6591699719429, 35.693581164591336, 36.42489924336386]}, "3": {"fourier": [71.76157682440999, 80.12211322937694, 81.37037291076469, 82.86310829997153, 86.18368303788131, 93.18072037939068, 99.2870245753987, 100.29535000854781, 104.5471512419707, 472.45193910598755]}, "4": {"fourier": [48.39724125089348, 50.08402710626232, 57.59641131719956, 59.33539664094595, 59.77943979877218, 63.620805215956196, 65.11934419392634, 66.37268857634619, 71.00165738555678, 206.28568577766418]}, "5": {"fourier": [24.487279400708108, 25.662980422051515, 27.118074116569648, 28.724107055583477, 29.46562088998914, 31.40558964098164, 33.31283851010759, 33.76699225394259, 38.514154323453496, 197.3109973669052]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [28.03670845620819, 29.69394441778326, 32.09814523735328, 32.73457769072199, 33.39306199551325, 36.5742987373073, 37.0376602486985, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.870249, -0.275678, 0.055834, -0.142748, 0.040608], [-0.68751, -0.448973, -0.378911, -0.729612, 0.151058], [-0.296264, -0.644349, -0.269333, -0.243951, -0.407243], [0.966136, 0.075246, 0.367693, 0.582356, 0.263304], [1.042498, 0.236518, 0.633351, 0.592894, -0.073817], [0.775026, 0.729553, 0.122797, -0.163592, -0.292796]], "network.0.bias": [0.145375, -0.414673, -0.429206, 0.287449, -0.468053, -0.639968], "network.2.weight": [[-0.549428, 0.438318, -0.225749, 0.233979, -0.268441, -0.066955], [0.673176, -0.49987, 0.084306, 0.469303, 0.494215, 0.843203], [-1.252099, -0.025325, -0.306068, 0.367423, -0.184818, -0.021381], [0.945318, -0.100037, 0.419118, 0.481644, 0.688175, 0.46264], [1.186602, 0.24855, 0.177563, -0.142406, 0.206916, 0.889172], [-0.019153, -0.015433, -0.334728, -0.40066, -0.176415, -0.14155]], "network.2.bias": [0.636415, -0.748118, 0.789473, -0.848035, -0.355758, 0.303176], "network.4.weight": [[-0.525891, -0.384574, 0.144614, -0.334125, 0.4595, -0.285488], [-0.065318, -0.412865, -0.391636, -0.084687, -0.376737, -0.333883], [0.237235, -0.290982, 0.276062, -0.184337, -0.204098, 0.145128], [-0.336057, 0.490975, -0.398384, 0.19551, 0.96228, -0.105384], [-0.153907, -0.833554, -0.333461, -0.618049, -0.141509, -0.295754], [-0.342143, 0.662393, -0.392356, 0.535739, 0.508708, 0.238715]], "network.4.bias": [0.079814, -0.319481, -0.215371, -0.094882, -0.246968, -0.272717], "network.6.weight": [[0.08301, 0.346328, 0.031371, 0.498669, 0.215575, -0.539365], [0.196892, -0.133553, -0.343111, -0.084852, -0.134377, -0.400716], [-0.220931, 0.023558, -0.787175, 0.216769, -0.340627, 0.509481], [0.197889, 0.47194, -0.547516, 0.296464, -0.442551, 0.443344], [0.057201, 0.096218, -0.076127, 0.382467, -0.244302, 0.348872], [0.197297, 0.174203, -0.845181, 0.247561, 0.168108, 0.516781]], "network.6.bias": [-0.475431, -0.551835, -0.259132, -0.170015, -0.007654, -0.40264], "network.8.weight": [[-0.358555, -0.383699, -0.505179, -0.070024, -0.514449, 0.272455], [0.374683, -0.17213, -0.390491, -0.407443, -0.035954, -0.007058], [-0.10657, 0.013885, 0.112185, 0.203673, 0.049363, 0.539127], [-0.127762, 0.236418, 0.440392, -0.616493, -0.666809, -0.147659], [-0.032397, 0.340094, 0.318385, 0.241414, 0.494168, 0.583238], [-0.421558, 0.577637, 0.547336, 0.319239, -0.168266, 0.374233]], "network.8.bias": [-0.068803, -0.158668, -0.310632, -0.163342, -0.526999, -0.36665], "network.10.weight": [[-0.012723, -0.357424, -0.149852, 0.245428, -0.648488, -0.181139]], "network.10.bias": [1.138165]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.684573233127594, "train_acc": 0.515, "val_loss": 0.7200331687927246, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6837337017059326, "train_acc": 0.555, "val_loss": 0.6558791995048523, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6115265190601349, "train_acc": 0.53, "val_loss": 0.5516030192375183, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.564560055732727, "train_acc": 0.665, "val_loss": 0.5893301367759705, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5032978951931, "train_acc": 0.815, "val_loss": 0.5260277390480042, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.44024427235126495, "train_acc": 0.795, "val_loss": 0.43795692920684814, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4059848487377167, "train_acc": 0.805, "val_loss": 0.41826847195625305, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.36991192400455475, "train_acc": 0.87, "val_loss": 0.40917181968688965, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.32037732005119324, "train_acc": 0.905, "val_loss": 0.3426271080970764, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.29845599830150604, "train_acc": 0.88, "val_loss": 0.27700597047805786, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2518022805452347, "train_acc": 0.905, "val_loss": 0.2602825462818146, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.22663214057683945, "train_acc": 0.95, "val_loss": 0.2636793851852417, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7200331687927246, "final_val_loss": 0.6558791995048523, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5516030192375183, "final_val_loss": 0.2636793851852417, "initial_val_acc": 0.74, "final_val_acc": 0.88, "best_val_acc": 0.92, "best_epoch": 9}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
144
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.92, "improvement": 0.44000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2690, "learning_rate": 0.043267644886645217, "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: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[22.879045, 23.957277, 24.638403, 25.563139, 27.411203, 27.706324, 31.429002, 33.571903, 36.043325, 106.758295], [18.343957, 19.006003, 20.196380, 20.422580, 21.022522, 23.025790, 23.576458, 25.867512, 27.283234, 27.711233], [27.368448, 28.355729, 28.907340, 29.703893, 31.100074, 32.554371, 34.210123, 40.012552, 46.976955, 246.475030], [31.702692, 34.380444, 37.324245, 41.420767, 42.960690, 43.819641, 43.827228, 45.648305, 46.529284, 240.486067], [30.532622, 32.727755, 36.540088, 37.434890, 38.055642, 38.124487, 41.617039, 43.245299, 52.211727, 67.190582]]
### 2
fourier: [[11.685325, 12.404599, 12.478358, 12.702369, 15.129437, 15.998932, 17.349463, 20.725946, 21.664480, 141.823708], [35.211626, 35.287351, 37.180136, 37.924945, 43.414339, 48.781651, 59.403042, 68.291278, 70.488958, 379.361112], [9.725884, 9.923594, 10.413971, 11.140196, 11.555224, 13.090857, 14.234417, 14.787145, 17.031415, 20.051746], [21.308810, 23.529162, 23.688127, 25.790479, 29.279255, 30.382803, 30.719904, 37.113274, 41.952734, 67.170691], [6.559079, 7.176657, 7.418341, 7.943426, 8.231115, 8.343365, 10.983313, 11.358471, 13.138247, 115.159982]]
### 4
fourier: [[12.738793, 13.336700, 14.385728, 14.944819, 15.791643, 17.267426, 22.162423, 22.306626, 24.794854, 198.925873], [7.102972, 7.223961, 7.303770, 7.506476, 7.800941, 8.278046, 9.270542, 9.949797, 12.544321, 35.590887], [9.178441, 10.241482, 10.700569, 10.702467, 11.829024, 11.917220, 14.505334, 14.520559, 17.954080, 157.368494], [40.264743, 40.759646, 41.556089, 49.503850, 52.541000, 53.825290, 60.866011, 78.889312, 83.340277, 324.627410], [18.633655, 18.724402, 20.039118, 20.662149, 21.048065, 25.757041, 30.926888, 34.235033, 34.525979, 59.340533]]
### 6
fourier: [[14.651140, 14.896267, 14.960722, 15.013520, 16.075239, 18.768554, 22.063823, 25.411934, 28.271584, 191.090520], [34.969437, 36.129565, 37.464251, 39.578412, 43.131595, 44.990684, 56.189930, 67.280826, 69.971533, 216.543501], [6.435283, 6.732129, 6.918658, 7.251256, 7.961070, 9.049165, 10.335188, 12.683894, 13.216192, 61.372888], [32.775040, 32.877998, 34.272935, 39.407078, 40.838673, 41.023642, 50.214319, 62.654814, 65.434975, 230.257828], [12.784708, 13.264045, 13.392840, 13.430324, 13.771066, 17.633172, 21.427748, 21.462861, 23.643857, 85.745192]]
### 8
fourier: [[63.278658, 64.832357, 66.919083, 79.044872, 82.190752, 83.908267, 99.071449, 120.260627, 126.596300, 383.259429]]
## 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: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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]
}
## Activation Signature
### 0
fourier: [[22.879045, 23.957277, 24.638403, 25.563139, 27.411203, 27.706324, 31.429002, 33.571903, 36.043325, 106.758295], [18.343957, 19.006003, 20.196380, 20.422580, 21.022522, 23.025790, 23.576458, 25.867512, 27.283234, 27.711233], [27.368448, 28.355729, 28.907340, 29.703893, 31.100074, 32.554371, 34.210123, 40.012552, 46.976955, 246.475030], [31.702692, 34.380444, 37.324245, 41.420767, 42.960690, 43.819641, 43.827228, 45.648305, 46.529284, 240.486067], [30.532622, 32.727755, 36.540088, 37.434890, 38.055642, 38.124487, 41.617039, 43.245299, 52.211727, 67.190582]]
### 2
fourier: [[11.685325, 12.404599, 12.478358, 12.702369, 15.129437, 15.998932, 17.349463, 20.725946, 21.664480, 141.823708], [35.211626, 35.287351, 37.180136, 37.924945, 43.414339, 48.781651, 59.403042, 68.291278, 70.488958, 379.361112], [9.725884, 9.923594, 10.413971, 11.140196, 11.555224, 13.090857, 14.234417, 14.787145, 17.031415, 20.051746], [21.308810, 23.529162, 23.688127, 25.790479, 29.279255, 30.382803, 30.719904, 37.113274, 41.952734, 67.170691], [6.559079, 7.176657, 7.418341, 7.943426, 8.231115, 8.343365, 10.983313, 11.358471, 13.138247, 115.159982]]
### 4
fourier: [[12.738793, 13.336700, 14.385728, 14.944819, 15.791643, 17.267426, 22.162423, 22.306626, 24.794854, 198.925873], [7.102972, 7.223961, 7.303770, 7.506476, 7.800941, 8.278046, 9.270542, 9.949797, 12.544321, 35.590887], [9.178441, 10.241482, 10.700569, 10.702467, 11.829024, 11.917220, 14.505334, 14.520559, 17.954080, 157.368494], [40.264743, 40.759646, 41.556089, 49.503850, 52.541000, 53.825290, 60.866011, 78.889312, 83.340277, 324.627410], [18.633655, 18.724402, 20.039118, 20.662149, 21.048065, 25.757041, 30.926888, 34.235033, 34.525979, 59.340533]]
### 6
fourier: [[14.651140, 14.896267, 14.960722, 15.013520, 16.075239, 18.768554, 22.063823, 25.411934, 28.271584, 191.090520], [34.969437, 36.129565, 37.464251, 39.578412, 43.131595, 44.990684, 56.189930, 67.280826, 69.971533, 216.543501], [6.435283, 6.732129, 6.918658, 7.251256, 7.961070, 9.049165, 10.335188, 12.683894, 13.216192, 61.372888], [32.775040, 32.877998, 34.272935, 39.407078, 40.838673, 41.023642, 50.214319, 62.654814, 65.434975, 230.257828], [12.784708, 13.264045, 13.392840, 13.430324, 13.771066, 17.633172, 21.427748, 21.462861, 23.643857, 85.745192]]
### 8
fourier: [[63.278658, 64.832357, 66.919083, 79.044872, 82.190752, 83.908267, 99.071449, 120.260627, 126.596300, 383.259429]]
## 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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37.434890229146724, 38.05564211447192, 38.12448736698289, 41.6170387237486, 43.245299191237855, 52.2117273789897, 67.19058173894882]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [11.685325428779464, 12.404598708321842, 12.47835798697676, 12.702368820995494, 15.129436967114383, 15.998932433353415, 17.349463287287527, 20.72594609754546, 21.664479713597686, 141.8237075805664]}, "1": {"fourier": [35.211626233633204, 35.28735109225976, 37.180136105662925, 37.924945198745846, 43.41433862488176, 48.7816506680543, 59.403042441999325, 68.29127792620432, 70.48895813001702, 379.3611123561859]}, "2": {"fourier": [9.725884409939813, 9.923594457264892, 10.413971399688544, 11.140196144551723, 11.555223872520049, 13.090857419307055, 14.234417141777328, 14.787145317497828, 17.031415231768165, 20.051746055483818]}, "3": {"fourier": [21.30881029291115, 23.529161879369536, 23.6881268180285, 25.790479323920284, 29.279254749083158, 30.382802971518572, 30.719904347329294, 37.1132739054325, 41.95273443676253, 67.1706907004118]}, "4": {"fourier": [6.559078646532925, 7.176656535118658, 7.418341438167304, 7.943426431865616, 8.231115492328387, 8.34336497080222, 10.983313212526003, 11.358471027934716, 13.138246865308167, 115.15998205542564]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [12.738793428391295, 13.336700097804437, 14.385727861779438, 14.944818612018832, 15.791642608431134, 17.26742648255418, 22.16242315575415, 22.306625910869965, 24.79485399511647, 198.9258725643158]}, "1": {"fourier": [7.10297173900636, 7.223961098187736, 7.303770368810562, 7.506475566444638, 7.800941317224214, 8.278045702363164, 9.27054202192974, 9.94979714316938, 12.544320699397646, 35.59088698029518]}, "2": {"fourier": [9.178440894081572, 10.241481995621884, 10.700568550835072, 10.70246727632501, 11.82902384165491, 11.917220228509525, 14.505333666846896, 14.520558719685743, 17.954079651744532, 157.36849397420883]}, "3": {"fourier": [40.2647425265658, 40.75964592168792, 41.55608903428179, 49.50384977383446, 52.54099991713579, 53.8252897447995, 60.866011111718564, 78.88931178665845, 83.34027749447118, 324.62741008400917]}, "4": {"fourier": [18.63365470550235, 18.724402323233615, 20.039117961327836, 20.662148835454566, 21.048064787647583, 25.757041443113863, 30.92688789874857, 34.23503312735353, 34.52597938714811, 59.34053349494934]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [14.651140279999485, 14.89626658889622, 14.960722343463733, 15.013519568533788, 16.075239346698215, 18.768554119645717, 22.063822560988932, 25.411933958791753, 28.271583782830337, 191.0905202627182]}, "1": {"fourier": [34.96943727812148, 36.129565386200426, 37.46425131514312, 39.57841159680814, 43.13159457411916, 44.99068353737327, 56.18993038132085, 67.28082587617544, 69.97153279233174, 216.54350140690804]}, "2": {"fourier": [6.435282722369469, 6.732129411352759, 6.918658121634907, 7.251255581778336, 7.9610702482411035, 9.04916528343973, 10.335187761150303, 12.683893824720208, 13.216192163264529, 61.37288822233677]}, "3": {"fourier": [32.77504030193785, 32.87799769391581, 34.27293493227682, 39.407077600299274, 40.83867296061257, 41.023642132684216, 50.21431949481826, 62.654814371220354, 65.43497484213346, 230.2578284740448]}, "4": {"fourier": [12.784707660369914, 13.264045044993694, 13.39284002084609, 13.430324019903061, 13.77106615698718, 17.633171612486883, 21.427747702527686, 21.46286076085886, 23.64385740530283, 85.74519208073616]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [63.27865844995382, 64.83235688375647, 66.919083495643, 79.04487245253893, 82.19075221844501, 83.9082668649489, 99.07144901968654, 120.26062655737583, 126.59629980182606, 383.2594291716814]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "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": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.085237, -0.302138, 0.549158, 0.548426, -0.862151], [-0.166717, 0.341548, 0.404483, -0.121787, -0.661494], [-0.103137, -0.074165, 0.241465, 0.356153, 0.998874], [-0.832191, -0.109843, -0.64615, -0.040918, 0.007799], [0.970956, 0.014165, 0.166151, -0.379261, 0.264092]], "network.0.bias": [0.582959, 0.014141, 0.502015, -0.008431, -0.347032], "network.2.weight": [[0.200404, -0.491623, -0.431552, -0.180107, -0.062412], [-0.116617, -0.375546, 1.001367, -0.158145, 0.876551], [0.476905, -0.461096, -0.242737, -0.027146, 0.062069], [0.756571, 0.693741, -0.327079, 0.111212, -0.0659], [-0.104385, 0.025553, -0.205474, -0.027084, -0.178183]], "network.2.bias": [-0.274317, 0.808298, -0.010832, 0.168523, -0.363308], "network.4.weight": [[-0.162955, -0.397593, -0.194996, -0.250816, 0.27589], [0.199871, -0.000629, 0.091719, 0.434689, -0.294213], [-0.264016, -0.284199, -0.092489, -0.266553, -0.107754], [0.190867, 0.959102, -0.549737, -0.660077, 0.100025], [-0.001898, -0.2093, 0.347868, 0.868562, 0.156594]], "network.4.bias": [-0.190604, -0.146316, -0.2092, 0.476601, 0.419393], "network.6.weight": [[0.364904, 0.153756, -0.426441, -0.421119, -0.419795], [-0.353356, -0.295116, 0.070514, 0.743989, -0.376679], [-0.136771, 0.271941, -0.110694, 0.181547, -0.024526], [0.172848, -0.126981, -0.106527, 0.735855, -0.236256], [0.034689, 0.340735, -0.243158, -0.105931, 0.532669]], "network.6.bias": [-0.215584, 0.213024, -0.076675, 0.173747, 0.632183], "network.8.weight": [[-0.413124, -0.817447, -0.233285, -1.031399, 0.442613]], "network.8.bias": [0.34662]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6839992105960846, "train_acc": 0.56, "val_loss": 0.6919544339179993, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6666556894779205, "train_acc": 0.56, "val_loss": 0.6533124446868896, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6230683624744415, "train_acc": 0.505, "val_loss": 0.5724148154258728, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.545066624879837, "train_acc": 0.705, "val_loss": 0.479304701089859, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4501357078552246, "train_acc": 0.835, "val_loss": 0.3950914144515991, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3993304818868637, "train_acc": 0.855, "val_loss": 0.32635030150413513, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3570820540189743, "train_acc": 0.835, "val_loss": 0.2928149104118347, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3461686670780182, "train_acc": 0.875, "val_loss": 0.24969235062599182, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.336017370223999, "train_acc": 0.855, "val_loss": 0.2435753494501114, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.31664401292800903, "train_acc": 0.88, "val_loss": 0.21852876245975494, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.28836391866207123, "train_acc": 0.89, "val_loss": 0.30235278606414795, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.31958530843257904, "train_acc": 0.875, "val_loss": 0.22001007199287415, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6919544339179993, "final_val_loss": 0.6533124446868896, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5724148154258728, "final_val_loss": 0.22001007199287415, "initial_val_acc": 0.62, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 7}, "improvement": 0.44000000000000006, "first_improvement_epoch": 1}}
|
145
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.72, "improved_accuracy": 0.94, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1426, "learning_rate": 0.07240027776714067, "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: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.10.weight": [
[
-0.173964,
0.325191,
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-0.297999,
0.133236,
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]
],
"network.10.bias": [
-0.520999
]
}
## Activation Signature
### 0
fourier: [[12.580420, 12.957010, 13.477240, 14.692814, 14.872786, 15.518169, 16.884247, 17.584988, 19.906598, 43.988626], [14.139666, 14.459943, 15.053037, 15.485951, 16.151559, 16.473696, 16.892286, 17.055835, 17.673153, 84.672398], [25.642638, 26.269305, 26.654543, 28.249053, 30.859308, 31.743198, 33.875828, 33.922400, 37.437838, 152.966827], [17.550943, 18.215256, 21.797332, 22.467602, 23.471188, 23.952523, 23.958798, 27.895054, 30.848667, 47.743699], [18.227852, 18.522429, 19.088195, 21.565563, 22.529909, 22.722186, 23.950765, 23.966196, 26.543865, 108.825074], [15.375988, 16.010103, 16.221151, 16.363399, 16.986838, 17.336500, 18.161133, 18.328960, 23.364627, 30.549797]]
### 2
fourier: [[4.136946, 4.173123, 4.225509, 4.237719, 4.434948, 4.536964, 4.609541, 5.042844, 6.915091, 69.865760], [24.943875, 25.088141, 25.646001, 26.001688, 26.702085, 29.375686, 30.825209, 33.297531, 34.538007, 68.169436], [5.590823, 5.688183, 6.075591, 6.228347, 6.800032, 7.037875, 7.052728, 7.211777, 7.260774, 18.160855], [23.914386, 24.105418, 24.489107, 30.348766, 32.107519, 32.982658, 33.738011, 33.815972, 35.525648, 94.250828], [15.554534, 16.421932, 16.763420, 17.108675, 17.398268, 18.978262, 19.883690, 22.832662, 24.936853, 31.906981], [23.803228, 24.298484, 25.778357, 25.964339, 25.969592, 26.922061, 29.819683, 33.100795, 35.197235, 80.987107]]
### 4
fourier: [[25.079011, 25.165240, 27.356915, 29.180934, 29.707665, 31.792242, 32.421671, 32.860937, 33.626723, 89.945930], [19.305495, 19.750289, 21.297242, 23.003901, 24.961445, 25.264941, 26.207549, 27.228899, 27.265351, 62.244722], [11.866841, 12.444652, 14.317171, 14.454275, 14.754261, 16.052063, 16.154415, 16.494742, 16.734187, 71.397946], [31.056799, 31.983527, 33.696042, 34.730369, 35.594802, 38.961221, 38.969138, 39.992747, 41.488854, 162.616784], [31.865687, 32.370443, 33.943255, 34.374356, 34.638976, 39.359154, 39.567009, 39.876831, 42.003537, 132.834991], [12.351631, 13.199544, 13.701032, 13.720610, 14.572368, 15.657316, 16.679161, 16.751316, 16.836487, 62.590072]]
### 6
fourier: [[2.240944, 2.528105, 2.546913, 2.757517, 2.758357, 2.799307, 2.814492, 2.826941, 3.157968, 21.350485], [15.589995, 16.081252, 17.528892, 17.557895, 18.201816, 20.277558, 20.705321, 20.898126, 21.281522, 103.469415], [29.828190, 30.000152, 33.354817, 34.313266, 34.317783, 37.962750, 38.509894, 39.280253, 40.005447, 112.834155], [9.819694, 10.027795, 10.210781, 10.479842, 10.687179, 11.924675, 12.497362, 12.575766, 12.675768, 62.469067], [18.965952, 19.265571, 21.014023, 22.135835, 22.516406, 23.918496, 24.535525, 25.480979, 25.575210, 66.773143], [17.462446, 18.060321, 18.951477, 19.324815, 20.203498, 21.442033, 21.898360, 22.014506, 23.349503, 90.372304]]
### 8
fourier: [[4.046435, 4.265827, 4.462631, 4.593741, 4.714584, 5.322429, 5.342479, 5.377729, 5.582588, 33.748753], [11.255312, 11.385620, 12.778291, 12.902641, 12.993939, 14.533979, 14.781995, 14.880711, 15.133754, 31.003530], [1.095912, 1.156848, 1.205799, 1.243252, 1.277584, 1.442275, 1.445875, 1.454830, 1.514788, 28.565975], [14.036315, 14.172582, 15.834633, 16.109314, 16.182062, 17.991954, 18.268097, 18.510722, 18.855162, 67.132708], [4.460436, 4.542857, 4.980805, 5.074975, 5.097707, 5.799788, 5.849641, 5.905157, 5.969176, 14.094367], [9.129303, 9.283246, 9.854768, 10.470474, 10.657930, 11.112052, 11.122064, 11.853964, 12.258913, 16.033868]]
### 10
fourier: [[4.251049, 4.254382, 4.645742, 4.870935, 4.930747, 5.281877, 5.348588, 5.594820, 5.691391, 42.033157]]
## 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: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.032924,
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0.056371
],
[
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[
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0.007549,
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],
[
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[
0.62958,
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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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],
[
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],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
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],
[
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],
[
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[
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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],
"network.6.bias": [
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],
"network.8.weight": [
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0.381271,
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[
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]
],
"network.10.bias": [
-0.520999
]
}
## Activation Signature
### 0
fourier: [[12.580420, 12.957010, 13.477240, 14.692814, 14.872786, 15.518169, 16.884247, 17.584988, 19.906598, 43.988626], [14.139666, 14.459943, 15.053037, 15.485951, 16.151559, 16.473696, 16.892286, 17.055835, 17.673153, 84.672398], [25.642638, 26.269305, 26.654543, 28.249053, 30.859308, 31.743198, 33.875828, 33.922400, 37.437838, 152.966827], [17.550943, 18.215256, 21.797332, 22.467602, 23.471188, 23.952523, 23.958798, 27.895054, 30.848667, 47.743699], [18.227852, 18.522429, 19.088195, 21.565563, 22.529909, 22.722186, 23.950765, 23.966196, 26.543865, 108.825074], [15.375988, 16.010103, 16.221151, 16.363399, 16.986838, 17.336500, 18.161133, 18.328960, 23.364627, 30.549797]]
### 2
fourier: [[4.136946, 4.173123, 4.225509, 4.237719, 4.434948, 4.536964, 4.609541, 5.042844, 6.915091, 69.865760], [24.943875, 25.088141, 25.646001, 26.001688, 26.702085, 29.375686, 30.825209, 33.297531, 34.538007, 68.169436], [5.590823, 5.688183, 6.075591, 6.228347, 6.800032, 7.037875, 7.052728, 7.211777, 7.260774, 18.160855], [23.914386, 24.105418, 24.489107, 30.348766, 32.107519, 32.982658, 33.738011, 33.815972, 35.525648, 94.250828], [15.554534, 16.421932, 16.763420, 17.108675, 17.398268, 18.978262, 19.883690, 22.832662, 24.936853, 31.906981], [23.803228, 24.298484, 25.778357, 25.964339, 25.969592, 26.922061, 29.819683, 33.100795, 35.197235, 80.987107]]
### 4
fourier: [[25.079011, 25.165240, 27.356915, 29.180934, 29.707665, 31.792242, 32.421671, 32.860937, 33.626723, 89.945930], [19.305495, 19.750289, 21.297242, 23.003901, 24.961445, 25.264941, 26.207549, 27.228899, 27.265351, 62.244722], [11.866841, 12.444652, 14.317171, 14.454275, 14.754261, 16.052063, 16.154415, 16.494742, 16.734187, 71.397946], [31.056799, 31.983527, 33.696042, 34.730369, 35.594802, 38.961221, 38.969138, 39.992747, 41.488854, 162.616784], [31.865687, 32.370443, 33.943255, 34.374356, 34.638976, 39.359154, 39.567009, 39.876831, 42.003537, 132.834991], [12.351631, 13.199544, 13.701032, 13.720610, 14.572368, 15.657316, 16.679161, 16.751316, 16.836487, 62.590072]]
### 6
fourier: [[2.240944, 2.528105, 2.546913, 2.757517, 2.758357, 2.799307, 2.814492, 2.826941, 3.157968, 21.350485], [15.589995, 16.081252, 17.528892, 17.557895, 18.201816, 20.277558, 20.705321, 20.898126, 21.281522, 103.469415], [29.828190, 30.000152, 33.354817, 34.313266, 34.317783, 37.962750, 38.509894, 39.280253, 40.005447, 112.834155], [9.819694, 10.027795, 10.210781, 10.479842, 10.687179, 11.924675, 12.497362, 12.575766, 12.675768, 62.469067], [18.965952, 19.265571, 21.014023, 22.135835, 22.516406, 23.918496, 24.535525, 25.480979, 25.575210, 66.773143], [17.462446, 18.060321, 18.951477, 19.324815, 20.203498, 21.442033, 21.898360, 22.014506, 23.349503, 90.372304]]
### 8
fourier: [[4.046435, 4.265827, 4.462631, 4.593741, 4.714584, 5.322429, 5.342479, 5.377729, 5.582588, 33.748753], [11.255312, 11.385620, 12.778291, 12.902641, 12.993939, 14.533979, 14.781995, 14.880711, 15.133754, 31.003530], [1.095912, 1.156848, 1.205799, 1.243252, 1.277584, 1.442275, 1.445875, 1.454830, 1.514788, 28.565975], [14.036315, 14.172582, 15.834633, 16.109314, 16.182062, 17.991954, 18.268097, 18.510722, 18.855162, 67.132708], [4.460436, 4.542857, 4.980805, 5.074975, 5.097707, 5.799788, 5.849641, 5.905157, 5.969176, 14.094367], [9.129303, 9.283246, 9.854768, 10.470474, 10.657930, 11.112052, 11.122064, 11.853964, 12.258913, 16.033868]]
### 10
fourier: [[4.251049, 4.254382, 4.645742, 4.870935, 4.930747, 5.281877, 5.348588, 5.594820, 5.691391, 42.033157]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [12.58042019216455, 12.957010036977806, 13.477239992296385, 14.6928143604928, 14.872785574318355, 15.51816931109274, 16.88424729718614, 17.584987846102937, 19.906597592134048, 43.988625675439835]}, "1": {"fourier": [14.139665698520268, 14.459943383855167, 15.05303748999261, 15.485951015153638, 16.15155873727823, 16.473695793213096, 16.892286207298998, 17.0558353022848, 17.673152983827972, 84.67239765822887]}, "2": {"fourier": [25.64263844963509, 26.269304686910214, 26.65454344276165, 28.249053488969714, 30.859308021414556, 31.74319764432477, 33.87582788966918, 33.9223998943943, 37.43783772410216, 152.9668265581131]}, "3": {"fourier": [17.550942506252046, 18.215256059720783, 21.79733193155937, 22.46760177799578, 23.471187990009774, 23.952523477266524, 23.958798240461856, 27.89505370202419, 30.84866677394378, 47.7436987683177]}, "4": {"fourier": [18.22785198929367, 18.522428754724842, 19.088195241681966, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.032924, -0.179205, -0.023674, 0.538318, 0.056371], [0.421708, -0.150989, -0.440972, -0.017323, -0.105284], [0.46494, 0.629802, 0.279147, 0.007549, -0.338709], [0.770545, -0.060693, -0.215902, 0.030832, -0.017248], [0.62958, 0.05686, -0.033443, 0.244393, -0.417465], [0.392262, 0.245327, 0.042894, -0.249348, -0.266]], "network.0.bias": [-0.400123, -0.102322, -0.208153, 0.088329, 0.382722, 0.177432], "network.2.weight": [[0.053437, 0.029754, 0.044347, 0.217289, -0.365061, -0.185912], [-0.795613, 0.181682, 0.234669, 0.183363, 0.603705, 0.477539], [0.048881, 0.258961, -0.046177, -0.061262, 0.461647, -0.191792], [-0.622401, 0.178551, 0.056698, 0.676663, 0.400377, 0.527847], [-0.609827, 0.420733, 0.386042, 0.294545, 0.189773, -0.150678], [-0.690376, 0.123081, 0.59906, 0.413033, 0.047558, 0.177047]], "network.2.bias": [-0.46437, -0.366078, -0.215923, -0.010437, -0.342547, -0.20398], "network.4.weight": [[0.284654, -0.332287, 0.390847, -0.205517, 0.022935, -0.652599], [-0.474157, 0.312255, -0.177207, 0.593257, -0.184915, 0.078165], [-0.569631, 0.258687, -0.205782, 0.223663, -0.408955, 0.347548], [-0.075864, 0.227831, -0.206913, 0.214251, 0.609421, 0.582178], [0.24932, -0.486287, -0.022879, -0.207931, -0.507711, -0.367753], [0.191693, 0.346536, -0.05525, 0.156274, 0.02903, 0.03668]], "network.4.bias": [0.224188, -0.269473, 0.1745, 0.303666, 0.039237, 0.10076], "network.6.weight": [[0.054121, 0.278818, -0.214778, -0.178971, 0.153426, 0.078623], [-0.197423, -0.265291, -0.1447, -0.217297, -0.221342, -0.19241], [-0.433858, 0.295571, 0.486252, 0.476345, -0.014437, 0.248206], [-0.333604, 0.046985, 0.192078, -0.306768, -0.321454, -0.293134], [0.606878, -0.349297, -0.336511, -0.227785, 0.27686, -0.051494], [0.433936, -0.113441, 0.100936, -0.502998, 0.607255, -0.029196]], "network.6.bias": [-0.037187, -0.260528, -0.350669, -0.078742, 0.175986, -0.126371], "network.8.weight": [[0.322375, -0.297982, -0.144462, 0.320442, -0.161894, 0.155278], [0.010072, 0.30531, 0.38442, -0.355886, -0.220328, 0.125968], [0.381271, -0.060501, 0.039156, -0.152603, 0.046192, -0.102817], [0.204198, 0.401247, -0.47512, -0.297435, 0.372595, -0.006256], [-0.059326, -0.08835, 0.154804, -0.280052, 0.045886, -0.211995], [-0.020051, 0.122798, -0.288933, 0.208108, 0.745506, 0.252132]], "network.8.bias": [-0.159845, -0.156836, 0.258917, -0.137613, -0.059775, 0.134069], "network.10.weight": [[-0.173964, 0.325191, -0.186546, -0.297999, 0.133236, -0.372358]], "network.10.bias": [-0.520999]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6802957057952881, "train_acc": 0.58, "val_loss": 0.7035270929336548, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6776938736438751, "train_acc": 0.58, "val_loss": 0.6256744861602783, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6570478081703186, "train_acc": 0.66, "val_loss": 0.5174817442893982, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5428764224052429, "train_acc": 0.875, "val_loss": 0.4999505579471588, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.46231915056705475, "train_acc": 0.92, "val_loss": 0.31594330072402954, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2763306498527527, "train_acc": 0.91, "val_loss": 0.30207833647727966, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.24629497528076172, "train_acc": 0.915, "val_loss": 0.3550587594509125, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.29512225091457367, "train_acc": 0.845, "val_loss": 0.2690531313419342, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.25646479427814484, "train_acc": 0.94, "val_loss": 0.24038586020469666, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.25177986919879913, "train_acc": 0.93, "val_loss": 0.16573046147823334, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.16606143862009048, "train_acc": 0.935, "val_loss": 0.152475044131279, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.1704813316464424, "train_acc": 0.93, "val_loss": 0.16765731573104858, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7035270929336548, "final_val_loss": 0.6256744861602783, "initial_val_acc": 0.52, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.5174817442893982, "final_val_loss": 0.16765731573104858, "initial_val_acc": 0.84, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 3}, "improvement": 0.21999999999999997, "first_improvement_epoch": 1}}
|
146
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{"target_pattern": "alternating", "degraded_accuracy": 0.52, "improved_accuracy": 0.96, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3927, "learning_rate": 0.052724949321438556, "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: 5
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: [[23.652673, 23.660664, 23.723994, 23.985430, 25.213046, 29.070344, 29.330013, 32.150177, 32.543819, 154.185481], [16.876084, 16.901926, 17.244849, 17.478398, 18.185907, 18.283317, 19.178638, 21.630671, 22.542515, 93.107303], [21.072715, 21.972125, 23.296640, 25.485999, 26.034486, 26.262793, 26.508849, 27.576016, 33.624482, 71.500544], [15.917548, 16.380843, 17.095180, 17.122343, 17.601186, 17.731152, 17.733660, 18.119042, 18.814588, 53.297365], [13.625409, 13.933714, 14.032965, 15.353413, 16.098792, 17.710530, 18.466703, 19.026398, 19.264043, 72.402351], [20.002460, 20.793992, 21.315592, 21.613150, 21.830927, 22.256893, 24.283518, 28.961290, 31.170362, 41.468840], [24.906374, 25.519089, 25.669733, 31.013132, 32.055112, 33.353189, 33.932159, 39.413095, 41.132310, 107.403711]]
### 2
fourier: [[4.345769, 5.250800, 5.289166, 5.672411, 5.674968, 5.719730, 6.572523, 6.589063, 8.039542, 8.218003], [22.829840, 23.061926, 23.663699, 23.855626, 25.435397, 26.234077, 27.944485, 28.257029, 30.902807, 36.551537], [5.663162, 5.677405, 6.201713, 6.670214, 6.684894, 7.003865, 9.102737, 9.439311, 10.409705, 40.940488], [12.210016, 12.282939, 12.835570, 14.850570, 15.235435, 15.739748, 17.754733, 19.173595, 19.761226, 130.572549], [8.253295, 8.552654, 9.663366, 9.735863, 9.892046, 10.689596, 11.779398, 12.604663, 13.740374, 14.191086], [30.738744, 31.128178, 32.326371, 32.384487, 33.882330, 36.955157, 38.018119, 42.742027, 45.414325, 71.799657], [19.977767, 20.078488, 20.194109, 21.603225, 23.164386, 24.813371, 25.547146, 30.036623, 30.689163, 30.925651]]
### 4
fourier: [[7.861420, 8.038349, 8.220849, 8.795101, 9.102296, 9.733876, 10.863292, 11.893516, 12.644329, 13.515180], [7.096975, 7.702099, 8.220791, 8.423942, 9.004303, 9.863206, 10.449583, 11.827605, 13.690649, 33.241088], [19.069576, 20.801358, 21.894494, 22.047574, 22.682651, 22.859633, 25.375618, 29.055021, 30.340289, 166.476679], [4.340321, 4.438389, 4.866012, 4.975236, 5.048607, 5.192979, 5.288411, 5.496384, 5.629228, 5.954352], [6.163237, 6.413415, 6.791665, 7.180637, 7.418426, 8.210226, 8.737817, 10.312222, 10.947064, 14.355881], [9.682507, 9.887946, 9.929687, 10.942725, 11.025821, 12.727767, 12.806517, 15.028584, 15.527865, 84.625877], [14.091815, 14.374519, 14.852315, 15.783483, 16.910878, 18.634537, 18.709827, 27.285242, 31.224705, 42.600777]]
### 6
fourier: [[22.029551, 24.451201, 24.836115, 25.060565, 25.270892, 30.138013, 30.377449, 34.665244, 37.170532, 178.512641], [21.030183, 21.244043, 21.292025, 22.358231, 23.747350, 26.531342, 27.078045, 31.030253, 33.846097, 152.684448], [2.227220, 2.229097, 2.412426, 2.528239, 2.738320, 3.030180, 3.162855, 3.189933, 3.193138, 57.143859], [6.517387, 6.620690, 6.967884, 7.069514, 7.114386, 8.207819, 8.549089, 9.500810, 11.856420, 13.931021], [19.487390, 20.767386, 21.275147, 21.646592, 22.288587, 26.209234, 28.232434, 29.508498, 33.355023, 168.702595], [23.697442, 24.095805, 24.538728, 25.720926, 26.092516, 29.353464, 30.360535, 35.526405, 38.230442, 176.795366], [11.986993, 12.287278, 12.529671, 12.806724, 16.509418, 18.173701, 20.587766, 22.027562, 25.577308, 52.023265]]
### 8
fourier: [[11.691056, 11.718987, 11.851036, 13.385005, 15.139608, 15.499851, 18.354818, 19.781921, 20.175848, 47.882549], [37.637438, 39.249514, 41.360772, 41.496373, 43.810854, 47.404226, 49.907860, 60.436909, 63.617444, 274.690250], [22.300191, 22.370768, 22.697715, 23.301937, 23.642071, 26.806384, 30.321754, 32.230775, 36.687747, 194.158336], [8.185645, 8.467558, 8.599984, 9.168016, 9.253650, 10.480092, 10.514753, 12.852432, 13.804652, 26.947254], [3.051854, 3.231696, 3.265778, 3.445217, 4.281101, 4.535391, 5.261049, 5.344999, 5.656764, 9.940479], [50.545593, 52.605124, 54.957089, 55.975048, 58.238837, 64.070469, 66.260315, 80.815046, 85.272211, 355.628268], [8.245864, 8.265484, 8.335386, 8.445607, 9.693478, 11.321883, 12.983783, 13.787296, 15.304170, 27.532167]]
### 10
fourier: [[47.452559, 50.879944, 51.950230, 54.755864, 57.079030, 61.710569, 62.137631, 77.690453, 82.374994, 324.174049]]
## 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: 5
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: [[23.652673, 23.660664, 23.723994, 23.985430, 25.213046, 29.070344, 29.330013, 32.150177, 32.543819, 154.185481], [16.876084, 16.901926, 17.244849, 17.478398, 18.185907, 18.283317, 19.178638, 21.630671, 22.542515, 93.107303], [21.072715, 21.972125, 23.296640, 25.485999, 26.034486, 26.262793, 26.508849, 27.576016, 33.624482, 71.500544], [15.917548, 16.380843, 17.095180, 17.122343, 17.601186, 17.731152, 17.733660, 18.119042, 18.814588, 53.297365], [13.625409, 13.933714, 14.032965, 15.353413, 16.098792, 17.710530, 18.466703, 19.026398, 19.264043, 72.402351], [20.002460, 20.793992, 21.315592, 21.613150, 21.830927, 22.256893, 24.283518, 28.961290, 31.170362, 41.468840], [24.906374, 25.519089, 25.669733, 31.013132, 32.055112, 33.353189, 33.932159, 39.413095, 41.132310, 107.403711]]
### 2
fourier: [[4.345769, 5.250800, 5.289166, 5.672411, 5.674968, 5.719730, 6.572523, 6.589063, 8.039542, 8.218003], [22.829840, 23.061926, 23.663699, 23.855626, 25.435397, 26.234077, 27.944485, 28.257029, 30.902807, 36.551537], [5.663162, 5.677405, 6.201713, 6.670214, 6.684894, 7.003865, 9.102737, 9.439311, 10.409705, 40.940488], [12.210016, 12.282939, 12.835570, 14.850570, 15.235435, 15.739748, 17.754733, 19.173595, 19.761226, 130.572549], [8.253295, 8.552654, 9.663366, 9.735863, 9.892046, 10.689596, 11.779398, 12.604663, 13.740374, 14.191086], [30.738744, 31.128178, 32.326371, 32.384487, 33.882330, 36.955157, 38.018119, 42.742027, 45.414325, 71.799657], [19.977767, 20.078488, 20.194109, 21.603225, 23.164386, 24.813371, 25.547146, 30.036623, 30.689163, 30.925651]]
### 4
fourier: [[7.861420, 8.038349, 8.220849, 8.795101, 9.102296, 9.733876, 10.863292, 11.893516, 12.644329, 13.515180], [7.096975, 7.702099, 8.220791, 8.423942, 9.004303, 9.863206, 10.449583, 11.827605, 13.690649, 33.241088], [19.069576, 20.801358, 21.894494, 22.047574, 22.682651, 22.859633, 25.375618, 29.055021, 30.340289, 166.476679], [4.340321, 4.438389, 4.866012, 4.975236, 5.048607, 5.192979, 5.288411, 5.496384, 5.629228, 5.954352], [6.163237, 6.413415, 6.791665, 7.180637, 7.418426, 8.210226, 8.737817, 10.312222, 10.947064, 14.355881], [9.682507, 9.887946, 9.929687, 10.942725, 11.025821, 12.727767, 12.806517, 15.028584, 15.527865, 84.625877], [14.091815, 14.374519, 14.852315, 15.783483, 16.910878, 18.634537, 18.709827, 27.285242, 31.224705, 42.600777]]
### 6
fourier: [[22.029551, 24.451201, 24.836115, 25.060565, 25.270892, 30.138013, 30.377449, 34.665244, 37.170532, 178.512641], [21.030183, 21.244043, 21.292025, 22.358231, 23.747350, 26.531342, 27.078045, 31.030253, 33.846097, 152.684448], [2.227220, 2.229097, 2.412426, 2.528239, 2.738320, 3.030180, 3.162855, 3.189933, 3.193138, 57.143859], [6.517387, 6.620690, 6.967884, 7.069514, 7.114386, 8.207819, 8.549089, 9.500810, 11.856420, 13.931021], [19.487390, 20.767386, 21.275147, 21.646592, 22.288587, 26.209234, 28.232434, 29.508498, 33.355023, 168.702595], [23.697442, 24.095805, 24.538728, 25.720926, 26.092516, 29.353464, 30.360535, 35.526405, 38.230442, 176.795366], [11.986993, 12.287278, 12.529671, 12.806724, 16.509418, 18.173701, 20.587766, 22.027562, 25.577308, 52.023265]]
### 8
fourier: [[11.691056, 11.718987, 11.851036, 13.385005, 15.139608, 15.499851, 18.354818, 19.781921, 20.175848, 47.882549], [37.637438, 39.249514, 41.360772, 41.496373, 43.810854, 47.404226, 49.907860, 60.436909, 63.617444, 274.690250], [22.300191, 22.370768, 22.697715, 23.301937, 23.642071, 26.806384, 30.321754, 32.230775, 36.687747, 194.158336], [8.185645, 8.467558, 8.599984, 9.168016, 9.253650, 10.480092, 10.514753, 12.852432, 13.804652, 26.947254], [3.051854, 3.231696, 3.265778, 3.445217, 4.281101, 4.535391, 5.261049, 5.344999, 5.656764, 9.940479], [50.545593, 52.605124, 54.957089, 55.975048, 58.238837, 64.070469, 66.260315, 80.815046, 85.272211, 355.628268], [8.245864, 8.265484, 8.335386, 8.445607, 9.693478, 11.321883, 12.983783, 13.787296, 15.304170, 27.532167]]
### 10
fourier: [[47.452559, 50.879944, 51.950230, 54.755864, 57.079030, 61.710569, 62.137631, 77.690453, 82.374994, 324.174049]]
## 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": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.072388, 0.762192, 0.320576, -0.224839, -0.417263], [-0.225348, -0.306892, 0.23349, 0.378011, 0.348266], [0.55031, 0.202223, 0.302624, -0.242062, -0.122753], [-0.27512, -0.09085, 0.083774, 0.359719, 0.370744], [-0.219324, -0.075211, -0.36623, -0.191216, 0.318656], [-0.274355, 0.116404, -0.51091, 0.202035, 0.618466], [-0.541051, 0.123113, -0.378963, 0.40177, -0.448329]], "network.0.bias": [0.561338, 0.146297, -0.220541, -0.303531, 0.387573, 0.461276, -0.261427], "network.2.weight": [[0.230011, 0.086856, -0.341831, 0.096105, 0.031332, -0.029392, -0.301059], [-0.333409, 0.410036, -0.474918, 0.497336, 0.05217, 0.208842, 0.059457], [-0.199963, 0.014195, 0.402421, -0.06114, -0.537227, 0.22356, 0.515247], [0.549323, 0.009194, 0.190443, 0.14592, 0.646321, 0.205437, -0.204407], [0.243367, -0.37314, -0.319785, -0.10118, -0.387296, 0.253972, 0.250248], [0.73719, -0.324033, 0.389969, -0.324333, 0.045298, -0.540683, 0.181431], [-0.460962, 0.29637, -0.140236, 0.367487, 0.211104, 0.372223, -0.056822]], "network.2.bias": [-0.207798, 0.075922, 0.216721, 0.056778, 0.274306, 0.075236, -0.246964], "network.4.weight": [[-0.173189, -0.236147, 0.549365, 0.074737, 0.401337, -0.47361, -0.009107], [-0.369884, -0.401733, 0.28444, 0.14767, 0.499455, -0.494002, 0.195404], [-0.362302, 0.312992, -0.342997, 0.478017, -0.127704, 0.682145, 0.399311], [-0.091007, 0.17361, 0.112393, -0.286985, 0.045851, 0.101842, -0.38509], [-0.299756, -0.161969, 0.135385, 0.173618, 0.394842, -0.418898, -0.096946], [-0.221861, 0.313431, -0.34181, 0.078856, 0.011064, 0.385769, 0.418084], [0.278269, 0.468405, -0.406154, 0.019194, -0.396449, -0.129116, 0.554674]], "network.4.bias": [0.345088, 0.030769, 0.171956, 0.191208, 0.14768, 0.137336, 0.352382], "network.6.weight": [[-0.518824, -0.438793, 0.724448, -0.563584, -0.361361, 0.590191, 0.139932], [-0.662558, -0.15288, 0.568125, -0.047475, -0.219824, 0.528251, 0.48579], [-0.440835, 0.429809, -0.202139, -0.360925, -0.243711, 0.101478, -0.086814], [-0.291309, -0.448668, -0.080409, -0.112413, -0.680038, 0.176597, 0.32022], [-0.293064, -0.426385, 0.751389, -0.067645, -0.526165, 0.268827, 0.319319], [-0.509167, -0.202538, 0.745054, -0.347605, 0.039075, 0.459273, 0.601969], [-0.170184, -0.32186, 0.130567, -0.381659, -0.248244, 0.160092, 0.746939]], "network.6.bias": [0.215558, 0.082629, -0.234916, -0.088644, 0.197203, 0.006525, -0.168142], "network.8.weight": [[0.032506, -0.317157, -0.113187, -0.335969, 0.071502, -0.248733, -0.07489], [0.442409, 0.204134, 0.115142, 0.024723, 0.430365, 0.364768, 0.72681], [-0.214897, 0.004491, 0.584613, 0.11743, -0.344624, -0.418233, -0.081567], [-0.01325, -0.323002, -0.280218, -0.141111, 0.028517, -0.082621, 0.050397], [0.124716, -0.042726, -0.192062, -0.063801, 0.195983, -0.226845, 0.307109], [0.307048, 0.624322, 0.121391, 0.552749, 0.53547, 0.621904, 0.458606], [0.169991, 0.021531, 0.060119, -0.126922, -0.006003, -0.230966, -0.462254]], "network.8.bias": [0.344335, -0.018358, -0.198049, 0.312735, -0.17718, -0.15028, 0.069749], "network.10.weight": [[0.510207, -0.361694, -0.236468, 0.478077, -0.068717, -0.663743, 0.026839]], "network.10.bias": [0.075564]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6885850727558136, "train_acc": 0.575, "val_loss": 0.6806681752204895, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6467922329902649, "train_acc": 0.575, "val_loss": 0.5673338770866394, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5530367791652679, "train_acc": 0.53, "val_loss": 0.4012245833873749, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.381176695227623, "train_acc": 0.93, "val_loss": 0.29530200362205505, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2420438602566719, "train_acc": 0.99, "val_loss": 0.3718525171279907, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3624134287238121, "train_acc": 0.89, "val_loss": 0.20596498250961304, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.19328264147043228, "train_acc": 0.96, "val_loss": 0.19526363909244537, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.15522461757063866, "train_acc": 0.95, "val_loss": 0.30855613946914673, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.231052428483963, "train_acc": 0.9, "val_loss": 0.263264924287796, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2781178206205368, "train_acc": 0.905, "val_loss": 0.42930203676223755, "val_acc": 0.84}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6806681752204895, "final_val_loss": 0.5673338770866394, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.4012245833873749, "final_val_loss": 0.42930203676223755, "initial_val_acc": 0.94, "final_val_acc": 0.84, "best_val_acc": 0.96, "best_epoch": 3}, "improvement": 0.43999999999999995, "first_improvement_epoch": 1}}
|
147
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7363, "learning_rate": 0.0729295261584931, "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: 4
Neurons per Layer: 6
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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[
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"network.4.bias": [
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0.391142,
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0.026888
],
"network.6.weight": [
[
0.084665,
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0.167636
],
[
-0.377694,
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-0.045222
],
[
0.519444,
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0.624959,
1.054003,
0.030314,
0.001699
],
[
0.095851,
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],
[
-0.117904,
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0.159667,
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[
0.153239,
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"network.8.bias": [
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}
## Activation Signature
### 0
fourier: [[39.699967, 40.471691, 42.268180, 42.812031, 43.256075, 44.737294, 47.418289, 51.282331, 51.303166, 185.388579], [33.920536, 34.829495, 34.998911, 35.743650, 38.386332, 41.273392, 42.735279, 51.812524, 55.348252, 394.454670], [34.226950, 34.946149, 35.017392, 35.430670, 41.872783, 42.027507, 42.316994, 42.856577, 44.259879, 50.260755], [21.131442, 22.609574, 23.331004, 27.627667, 27.687999, 28.122200, 30.019831, 31.306034, 33.010818, 253.867674], [38.812352, 39.851436, 40.794305, 41.022794, 41.798281, 43.191011, 44.923098, 46.464773, 48.481731, 59.403402], [48.502368, 49.825470, 55.032540, 55.791945, 56.422037, 59.817251, 60.832133, 67.517626, 68.061131, 226.867117]]
### 2
fourier: [[27.418985, 27.681740, 30.100948, 31.687986, 32.725360, 33.199572, 33.459815, 33.914015, 35.109887, 202.680615], [13.710139, 14.153119, 14.271553, 14.440485, 14.868464, 16.278028, 18.071586, 18.166188, 21.579811, 142.028295], [93.861068, 102.151928, 103.980402, 105.244886, 105.913781, 110.804126, 110.815695, 115.977011, 117.974603, 541.428658], [27.223659, 27.956459, 27.995685, 28.157196, 28.729470, 32.816323, 33.138152, 33.790791, 34.731955, 50.540302], [1.680557, 1.722157, 1.942423, 1.963275, 1.970560, 1.985393, 2.023237, 2.043169, 2.537737, 62.217213], [12.465924, 12.537706, 12.539920, 12.904620, 13.630048, 14.146224, 14.370624, 14.720649, 16.655814, 118.596760]]
### 4
fourier: [[45.041878, 46.174091, 48.799899, 49.468368, 51.542451, 52.371938, 52.772428, 57.607216, 57.719475, 270.536350], [55.017942, 60.056768, 60.733299, 62.063980, 62.515603, 64.545929, 64.889372, 65.253353, 66.207669, 246.074369], [72.341604, 78.257675, 79.170656, 80.526836, 81.232488, 84.570798, 85.007814, 88.985674, 89.571656, 359.771534], [112.467316, 121.760900, 123.078061, 125.241691, 126.251660, 131.489195, 132.166694, 138.253906, 139.183525, 672.472631], [27.084738, 29.126411, 29.652764, 30.060499, 30.481740, 31.645904, 31.813660, 33.477139, 33.663099, 168.797831], [14.923580, 15.138110, 15.271351, 16.516514, 17.121331, 17.467899, 17.600932, 20.156374, 20.463821, 106.450932]]
### 6
fourier: [[103.812079, 110.720580, 113.013499, 114.516442, 116.111003, 120.374808, 121.075711, 127.852859, 128.253364, 625.809406], [133.122285, 142.255281, 145.414654, 146.692453, 149.835002, 154.900021, 155.621420, 164.912570, 164.929293, 818.182105], [164.676766, 178.967505, 179.179772, 182.756715, 184.600743, 191.823626, 193.395639, 200.519875, 201.539146, 933.888374], [87.319591, 92.406997, 95.125657, 95.628321, 98.084187, 101.105670, 101.578897, 107.928263, 108.569004, 494.737678], [45.591578, 48.996306, 49.463516, 50.492854, 50.749989, 52.813052, 53.242368, 55.664328, 55.774508, 305.793192], [69.476450, 75.050106, 75.284245, 77.433912, 79.862725, 80.975601, 82.128841, 82.155967, 83.296950, 308.803297]]
### 8
fourier: [[178.414235, 192.085997, 193.634367, 195.342434, 200.741778, 206.552769, 209.236845, 214.273507, 215.021567, 953.596307]]
## 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: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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1.099484,
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],
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],
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0.0087
],
[
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],
[
1.028297,
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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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],
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0.008737,
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0.037756,
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],
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0.002471,
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0.151795,
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
0.08591,
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0.048893,
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],
[
0.268002,
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],
[
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],
[
-0.010127,
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0.081043
],
[
0.066455,
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]
],
"network.4.bias": [
0.123123,
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],
"network.6.weight": [
[
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],
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[
0.519444,
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1.054003,
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0.001699
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[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[39.699967, 40.471691, 42.268180, 42.812031, 43.256075, 44.737294, 47.418289, 51.282331, 51.303166, 185.388579], [33.920536, 34.829495, 34.998911, 35.743650, 38.386332, 41.273392, 42.735279, 51.812524, 55.348252, 394.454670], [34.226950, 34.946149, 35.017392, 35.430670, 41.872783, 42.027507, 42.316994, 42.856577, 44.259879, 50.260755], [21.131442, 22.609574, 23.331004, 27.627667, 27.687999, 28.122200, 30.019831, 31.306034, 33.010818, 253.867674], [38.812352, 39.851436, 40.794305, 41.022794, 41.798281, 43.191011, 44.923098, 46.464773, 48.481731, 59.403402], [48.502368, 49.825470, 55.032540, 55.791945, 56.422037, 59.817251, 60.832133, 67.517626, 68.061131, 226.867117]]
### 2
fourier: [[27.418985, 27.681740, 30.100948, 31.687986, 32.725360, 33.199572, 33.459815, 33.914015, 35.109887, 202.680615], [13.710139, 14.153119, 14.271553, 14.440485, 14.868464, 16.278028, 18.071586, 18.166188, 21.579811, 142.028295], [93.861068, 102.151928, 103.980402, 105.244886, 105.913781, 110.804126, 110.815695, 115.977011, 117.974603, 541.428658], [27.223659, 27.956459, 27.995685, 28.157196, 28.729470, 32.816323, 33.138152, 33.790791, 34.731955, 50.540302], [1.680557, 1.722157, 1.942423, 1.963275, 1.970560, 1.985393, 2.023237, 2.043169, 2.537737, 62.217213], [12.465924, 12.537706, 12.539920, 12.904620, 13.630048, 14.146224, 14.370624, 14.720649, 16.655814, 118.596760]]
### 4
fourier: [[45.041878, 46.174091, 48.799899, 49.468368, 51.542451, 52.371938, 52.772428, 57.607216, 57.719475, 270.536350], [55.017942, 60.056768, 60.733299, 62.063980, 62.515603, 64.545929, 64.889372, 65.253353, 66.207669, 246.074369], [72.341604, 78.257675, 79.170656, 80.526836, 81.232488, 84.570798, 85.007814, 88.985674, 89.571656, 359.771534], [112.467316, 121.760900, 123.078061, 125.241691, 126.251660, 131.489195, 132.166694, 138.253906, 139.183525, 672.472631], [27.084738, 29.126411, 29.652764, 30.060499, 30.481740, 31.645904, 31.813660, 33.477139, 33.663099, 168.797831], [14.923580, 15.138110, 15.271351, 16.516514, 17.121331, 17.467899, 17.600932, 20.156374, 20.463821, 106.450932]]
### 6
fourier: [[103.812079, 110.720580, 113.013499, 114.516442, 116.111003, 120.374808, 121.075711, 127.852859, 128.253364, 625.809406], [133.122285, 142.255281, 145.414654, 146.692453, 149.835002, 154.900021, 155.621420, 164.912570, 164.929293, 818.182105], [164.676766, 178.967505, 179.179772, 182.756715, 184.600743, 191.823626, 193.395639, 200.519875, 201.539146, 933.888374], [87.319591, 92.406997, 95.125657, 95.628321, 98.084187, 101.105670, 101.578897, 107.928263, 108.569004, 494.737678], [45.591578, 48.996306, 49.463516, 50.492854, 50.749989, 52.813052, 53.242368, 55.664328, 55.774508, 305.793192], [69.476450, 75.050106, 75.284245, 77.433912, 79.862725, 80.975601, 82.128841, 82.155967, 83.296950, 308.803297]]
### 8
fourier: [[178.414235, 192.085997, 193.634367, 195.342434, 200.741778, 206.552769, 209.236845, 214.273507, 215.021567, 953.596307]]
## 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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"model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "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": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.879119, 1.099484, -0.414454, -0.252528, 0.457376], [-0.870159, -0.201457, -0.313805, -0.352826, -0.426613], [-0.941934, -0.733636, 0.546145, 0.600892, 0.0087], [-0.351877, 0.110931, -0.073946, -0.637507, -0.42376], [1.028297, 0.220923, 0.165895, -0.605314, -0.974381], [1.562179, 0.530751, 0.022442, 0.193282, -0.960507]], "network.0.bias": [-0.19446, -0.994591, -0.401302, -0.5408, 0.323618, 0.332818], "network.2.weight": [[-0.471662, -0.089791, 0.035602, -0.421594, 0.017133, -0.247438], [-0.433228, -0.073574, -0.366912, 0.107507, -0.153305, 0.084631], [0.802811, 0.327623, -0.357681, 0.061524, 0.594116, 1.12455], [-0.291848, -0.414969, 0.6781, 0.201642, -0.158701, -0.183235], [0.008737, -0.042938, -0.106458, -0.316188, 0.037756, -0.039873], [-0.232907, -0.223628, 0.002471, 0.184141, 0.151795, -0.14586]], "network.2.bias": [-0.498626, -0.372733, 0.611192, 0.265405, -0.551894, -0.519085], "network.4.weight": [[-0.260616, -0.180297, -0.489241, -0.36744, 0.115308, -0.246311], [0.08591, -0.016473, -0.5665, 0.48435, 0.048893, -0.189787], [0.268002, -0.213954, 0.763941, -0.081378, -0.268419, -0.149401], [-0.003435, 0.07502, 1.187146, -0.142356, 0.244001, 0.664258], [-0.010127, -0.183853, -0.286973, 0.001911, -0.429922, 0.081043], [0.066455, 0.113044, -0.16971, -0.378396, -0.115511, -0.061644]], "network.4.bias": [0.123123, 0.438567, -0.564161, 0.391142, -0.147775, 0.026888], "network.6.weight": [[0.084665, -0.067914, -0.535157, -0.575369, -0.487489, 0.167636], [-0.377694, -0.323729, -0.228674, -1.036115, -0.08722, -0.045222], [0.519444, -0.689821, 0.624959, 1.054003, 0.030314, 0.001699], [0.095851, -0.265036, -0.441502, -0.490483, -0.530055, -0.205011], [-0.117904, 0.156597, -0.352883, -0.175228, 0.260995, -0.063666], [0.159667, 1.012294, -0.466991, -0.307949, -0.408253, -0.050918]], "network.6.bias": [-0.490259, -0.382479, 0.08119, -0.01763, -0.68979, 0.608116], "network.8.weight": [[0.153239, 0.274817, -1.074865, -0.0471, -0.002299, 0.674752]], "network.8.bias": [0.463591]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7026205360889435, "train_acc": 0.495, "val_loss": 0.7293450832366943, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6667003333568573, "train_acc": 0.585, "val_loss": 0.7121708393096924, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6261484622955322, "train_acc": 0.585, "val_loss": 0.6464816331863403, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6084302365779877, "train_acc": 0.505, "val_loss": 0.5539364814758301, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.511593371629715, "train_acc": 0.865, "val_loss": 0.5135043859481812, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4243416488170624, "train_acc": 0.86, "val_loss": 0.36778363585472107, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.33973075449466705, "train_acc": 0.88, "val_loss": 0.31895163655281067, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.34459343552589417, "train_acc": 0.875, "val_loss": 0.3510831892490387, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2847328633069992, "train_acc": 0.905, "val_loss": 0.28158438205718994, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.24598219990730286, "train_acc": 0.885, "val_loss": 0.2860274910926819, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.23141754418611526, "train_acc": 0.92, "val_loss": 0.289981484413147, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.19944661110639572, "train_acc": 0.93, "val_loss": 0.29031622409820557, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7293450832366943, "final_val_loss": 0.6464816331863403, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5539364814758301, "final_val_loss": 0.29031622409820557, "initial_val_acc": 0.86, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 10}, "improvement": 0.42000000000000004, "first_improvement_epoch": 2}}
|
148
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.44, "improved_accuracy": 0.8, "improvement": 0.36000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2833, "learning_rate": 0.07298892327090173, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.12.weight": [
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}
## Activation Signature
### 0
fourier: [[37.717082, 38.099720, 38.236569, 38.330144, 38.961143, 39.289440, 41.203869, 45.915266, 48.865367, 51.080042], [42.033486, 42.302060, 43.090094, 43.570481, 44.675172, 44.989530, 47.676578, 55.838301, 56.577324, 355.913072], [36.370545, 36.814322, 38.268243, 42.564478, 44.610642, 49.003612, 50.127653, 57.798911, 59.227027, 84.028255], [32.560616, 40.093850, 40.850468, 44.685828, 46.738378, 46.944452, 50.378052, 51.758122, 61.919368, 151.654807], [26.599925, 27.940316, 27.948343, 30.006949, 32.176187, 32.892903, 36.172819, 40.336300, 40.467242, 42.806189]]
### 2
fourier: [[57.128834, 60.062134, 60.926855, 76.023542, 77.522594, 79.143654, 84.252611, 89.729967, 90.061239, 264.452006], [25.756603, 26.746527, 26.767182, 27.354700, 27.770791, 28.621524, 29.278464, 36.778865, 39.960672, 272.416757], [15.921230, 16.892294, 17.814363, 17.946419, 18.857944, 18.995063, 19.652773, 20.056380, 26.909233, 62.921562], [37.210817, 39.867270, 42.485366, 43.192309, 45.035987, 48.005468, 48.630918, 48.705000, 51.551202, 174.094086], [59.760788, 60.235219, 66.179325, 80.103594, 80.819881, 81.138773, 83.559821, 88.136409, 89.864132, 306.943657]]
### 4
fourier: [[21.985770, 22.491961, 23.007901, 27.205277, 27.894136, 28.812560, 29.532564, 29.828736, 32.564336, 97.689947], [98.473966, 100.419233, 102.599679, 127.289146, 131.739083, 132.923665, 138.258234, 145.063308, 151.883589, 487.843311], [55.817850, 57.668775, 58.750578, 72.032029, 76.811160, 76.879907, 80.046340, 84.851143, 88.209336, 289.817537], [46.110692, 48.166552, 48.274685, 61.448835, 61.582253, 63.220146, 67.243596, 70.564728, 72.116921, 242.210617], [109.583031, 111.810260, 112.735366, 142.140007, 143.489612, 145.716900, 154.600167, 160.870785, 167.443060, 496.091095]]
### 6
fourier: [[139.074765, 141.265638, 142.241001, 179.029958, 182.527401, 186.172849, 195.927184, 204.160005, 213.087335, 634.039124], [23.763325, 24.132230, 24.623849, 30.655231, 31.601517, 32.111645, 33.324208, 34.817799, 36.524047, 116.688813], [19.252330, 19.264555, 20.839109, 23.799097, 24.781298, 25.667493, 25.674719, 26.013670, 28.075780, 56.704895], [15.125993, 15.389824, 16.102047, 19.144449, 19.607445, 19.832590, 21.333789, 21.469293, 22.781222, 43.705221], [198.686321, 202.023739, 203.369276, 256.513088, 260.434919, 266.117901, 280.186989, 291.840360, 304.299114, 959.367899]]
### 8
fourier: [[143.873803, 146.222684, 147.407678, 185.227987, 189.158473, 193.302204, 202.875878, 211.279544, 221.054219, 667.126159], [222.525914, 225.899490, 227.452956, 285.738500, 292.019199, 298.512507, 313.742647, 326.413238, 341.585032, 1021.769132], [124.999588, 126.904274, 127.314465, 161.027570, 163.716665, 167.911037, 176.546059, 183.795245, 191.463782, 585.643462], [16.089619, 16.214272, 16.729985, 19.543233, 21.118050, 21.528199, 22.534958, 22.680214, 23.130918, 26.708078], [212.635288, 215.264134, 216.121948, 272.796851, 277.405138, 284.130367, 299.557134, 310.994485, 324.708264, 960.493554]]
### 10
fourier: [[138.002933, 139.811624, 140.856269, 176.382790, 181.042391, 185.102058, 194.875441, 201.872271, 212.024262, 669.985262], [496.652128, 502.799200, 505.368461, 635.517858, 649.724002, 665.897408, 701.032775, 726.546505, 761.126610, 2370.189385], [332.395925, 333.662098, 334.746386, 424.471640, 429.086757, 442.396705, 467.966083, 483.926193, 503.762530, 1430.428062], [2.497108, 2.544882, 2.658668, 2.852117, 2.981643, 3.208429, 3.436980, 4.220182, 4.419198, 108.247136], [329.633571, 332.798882, 332.967755, 421.327493, 428.216382, 440.327222, 464.598908, 481.057457, 502.236303, 1476.969159]]
### 12
fourier: [[161.409159, 163.476215, 164.363757, 206.921850, 212.170078, 217.918892, 227.611140, 236.753306, 248.106649, 648.766627]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.522366,
-0.259964,
-0.439424,
-0.870015
],
[
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-0.01081,
0.174198,
0.009007
],
[
1.291634,
0.126268,
0.01776,
-0.529762,
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],
[
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}
## Activation Signature
### 0
fourier: [[37.717082, 38.099720, 38.236569, 38.330144, 38.961143, 39.289440, 41.203869, 45.915266, 48.865367, 51.080042], [42.033486, 42.302060, 43.090094, 43.570481, 44.675172, 44.989530, 47.676578, 55.838301, 56.577324, 355.913072], [36.370545, 36.814322, 38.268243, 42.564478, 44.610642, 49.003612, 50.127653, 57.798911, 59.227027, 84.028255], [32.560616, 40.093850, 40.850468, 44.685828, 46.738378, 46.944452, 50.378052, 51.758122, 61.919368, 151.654807], [26.599925, 27.940316, 27.948343, 30.006949, 32.176187, 32.892903, 36.172819, 40.336300, 40.467242, 42.806189]]
### 2
fourier: [[57.128834, 60.062134, 60.926855, 76.023542, 77.522594, 79.143654, 84.252611, 89.729967, 90.061239, 264.452006], [25.756603, 26.746527, 26.767182, 27.354700, 27.770791, 28.621524, 29.278464, 36.778865, 39.960672, 272.416757], [15.921230, 16.892294, 17.814363, 17.946419, 18.857944, 18.995063, 19.652773, 20.056380, 26.909233, 62.921562], [37.210817, 39.867270, 42.485366, 43.192309, 45.035987, 48.005468, 48.630918, 48.705000, 51.551202, 174.094086], [59.760788, 60.235219, 66.179325, 80.103594, 80.819881, 81.138773, 83.559821, 88.136409, 89.864132, 306.943657]]
### 4
fourier: [[21.985770, 22.491961, 23.007901, 27.205277, 27.894136, 28.812560, 29.532564, 29.828736, 32.564336, 97.689947], [98.473966, 100.419233, 102.599679, 127.289146, 131.739083, 132.923665, 138.258234, 145.063308, 151.883589, 487.843311], [55.817850, 57.668775, 58.750578, 72.032029, 76.811160, 76.879907, 80.046340, 84.851143, 88.209336, 289.817537], [46.110692, 48.166552, 48.274685, 61.448835, 61.582253, 63.220146, 67.243596, 70.564728, 72.116921, 242.210617], [109.583031, 111.810260, 112.735366, 142.140007, 143.489612, 145.716900, 154.600167, 160.870785, 167.443060, 496.091095]]
### 6
fourier: [[139.074765, 141.265638, 142.241001, 179.029958, 182.527401, 186.172849, 195.927184, 204.160005, 213.087335, 634.039124], [23.763325, 24.132230, 24.623849, 30.655231, 31.601517, 32.111645, 33.324208, 34.817799, 36.524047, 116.688813], [19.252330, 19.264555, 20.839109, 23.799097, 24.781298, 25.667493, 25.674719, 26.013670, 28.075780, 56.704895], [15.125993, 15.389824, 16.102047, 19.144449, 19.607445, 19.832590, 21.333789, 21.469293, 22.781222, 43.705221], [198.686321, 202.023739, 203.369276, 256.513088, 260.434919, 266.117901, 280.186989, 291.840360, 304.299114, 959.367899]]
### 8
fourier: [[143.873803, 146.222684, 147.407678, 185.227987, 189.158473, 193.302204, 202.875878, 211.279544, 221.054219, 667.126159], [222.525914, 225.899490, 227.452956, 285.738500, 292.019199, 298.512507, 313.742647, 326.413238, 341.585032, 1021.769132], [124.999588, 126.904274, 127.314465, 161.027570, 163.716665, 167.911037, 176.546059, 183.795245, 191.463782, 585.643462], [16.089619, 16.214272, 16.729985, 19.543233, 21.118050, 21.528199, 22.534958, 22.680214, 23.130918, 26.708078], [212.635288, 215.264134, 216.121948, 272.796851, 277.405138, 284.130367, 299.557134, 310.994485, 324.708264, 960.493554]]
### 10
fourier: [[138.002933, 139.811624, 140.856269, 176.382790, 181.042391, 185.102058, 194.875441, 201.872271, 212.024262, 669.985262], [496.652128, 502.799200, 505.368461, 635.517858, 649.724002, 665.897408, 701.032775, 726.546505, 761.126610, 2370.189385], [332.395925, 333.662098, 334.746386, 424.471640, 429.086757, 442.396705, 467.966083, 483.926193, 503.762530, 1430.428062], [2.497108, 2.544882, 2.658668, 2.852117, 2.981643, 3.208429, 3.436980, 4.220182, 4.419198, 108.247136], [329.633571, 332.798882, 332.967755, 421.327493, 428.216382, 440.327222, 464.598908, 481.057457, 502.236303, 1476.969159]]
### 12
fourier: [[161.409159, 163.476215, 164.363757, 206.921850, 212.170078, 217.918892, 227.611140, 236.753306, 248.106649, 648.766627]]
## 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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45.03598671550241, 48.00546779723296, 48.630918146025486, 48.7050001027689, 51.5512023149101, 174.09408575296402]}, "4": {"fourier": [59.760787681656026, 60.23521935961212, 66.17932477418287, 80.10359438384278, 80.8198806429739, 81.13877310457889, 83.55982081586227, 88.13640865990365, 89.86413226539742, 306.94365680217743]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [21.985770096059287, 22.49196056261584, 23.00790141901156, 27.205276870329786, 27.89413603367342, 28.812559617997717, 29.532563847973453, 29.828736275908245, 32.5643359654061, 97.68994663283229]}, "1": {"fourier": [98.47396592002679, 100.41923296663059, 102.59967921661175, 127.28914647322854, 131.73908258965687, 132.9236649628691, 138.25823378503193, 145.06330803059421, 151.88358889300977, 487.8433109894395]}, "2": {"fourier": [55.81785048291213, 57.668775001957044, 58.750578370043, 72.03202890644134, 76.81116033631747, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.970801, 0.522366, -0.259964, -0.439424, -0.870015], [0.995067, 0.889722, -0.01081, 0.174198, 0.009007], [1.291634, 0.126268, 0.01776, -0.529762, -0.110643], [1.37042, -0.000939, -0.074249, -0.212608, 0.072766], [-1.021064, -0.17907, 0.221918, 0.337375, 0.36297]], "network.0.bias": [-0.169157, 0.732929, 0.331599, 0.502631, -0.058103], "network.2.weight": [[0.919959, 0.066919, 0.469441, 0.675253, -0.351073], [0.241248, -0.700617, 0.022512, -0.080966, -0.193351], [-0.583024, -0.448653, 0.14066, 0.622299, 0.004311], [-0.310848, -0.367507, -0.546097, -0.001502, -0.043692], [0.75487, 0.240392, 0.350361, 0.701028, -0.606427]], "network.2.bias": [0.43527, -0.208029, 0.199954, 0.553335, 0.669072], "network.4.weight": [[0.011181, 0.768889, -0.068757, -0.430038, 0.340308], [0.670867, -0.733227, 0.618545, 0.214624, 0.944414], [0.580543, -0.635535, 0.620823, 0.475289, 0.342053], [0.530576, -0.500488, 0.18326, 0.352669, 0.250205], [0.948922, -0.147357, 0.317937, -0.051798, 0.857585]], "network.4.bias": [-0.075375, 0.186662, 0.306449, 0.270348, -0.198421], "network.6.weight": [[-0.04976, 0.508943, 0.596205, 0.022901, 0.489798], [0.032887, 0.30962, -0.109608, 0.120041, -0.064921], [0.266323, 0.483744, -0.566353, -0.884228, 0.363829], [-0.469121, 0.171898, -0.381712, 0.554713, -0.241606], [-0.152099, 0.898149, 0.403016, 0.418262, 0.629275]], "network.6.bias": [-0.2497, -0.008538, -0.164303, 0.167408, 0.19882], "network.8.weight": [[0.093409, 0.173022, -0.133194, -0.18076, 0.648234], [0.680576, 0.028204, -0.355263, -0.225833, 0.669093], [0.159575, -0.303491, 0.069305, 0.444273, 0.548535], [0.010646, -0.612093, 0.838738, -0.161033, 0.069826], [0.76712, 0.313578, -0.048994, -0.01703, 0.49386]], "network.8.bias": [-0.226485, -0.292896, -0.128874, -0.349192, -0.304691], "network.10.weight": [[0.202626, 0.199685, -0.003166, -0.48538, 0.336998], [-1.001435, -0.616136, -0.931621, 0.816645, -0.512885], [-0.419468, -0.214213, 0.099057, -0.74554, -1.052911], [-0.536434, 0.065491, -0.320993, 0.503391, 0.442172], [0.493146, 0.535718, 0.160793, 0.242025, 0.537001]], "network.10.bias": [0.327779, -0.833046, 0.575923, -0.862712, -0.190648], "network.12.weight": [[0.277417, -0.673122, 0.572681, -0.338867, -0.607123]], "network.12.bias": [0.547873]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7072448432445526, "train_acc": 0.44, "val_loss": 0.7164363265037537, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6933764815330505, "train_acc": 0.58, "val_loss": 0.7422288656234741, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6636658906936646, "train_acc": 0.58, "val_loss": 0.6620796322822571, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6381207704544067, "train_acc": 0.515, "val_loss": 0.5695685744285583, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5619454681873322, "train_acc": 0.585, "val_loss": 0.5443999767303467, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.548129141330719, "train_acc": 0.68, "val_loss": 0.5186920762062073, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5053272396326065, "train_acc": 0.72, "val_loss": 1.012436866760254, "val_acc": 0.64}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5452053397893906, "train_acc": 0.74, "val_loss": 0.7363287210464478, "val_acc": 0.68}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.5716797411441803, "train_acc": 0.72, "val_loss": 0.49062561988830566, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.5725547075271606, "train_acc": 0.7, "val_loss": 0.48606064915657043, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.5451374650001526, "train_acc": 0.725, "val_loss": 0.5172055959701538, "val_acc": 0.7}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.5549153983592987, "train_acc": 0.655, "val_loss": 0.47600218653678894, "val_acc": 0.76}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.5192753374576569, "train_acc": 0.73, "val_loss": 0.48052704334259033, "val_acc": 0.78}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7164363265037537, "final_val_loss": 0.6620796322822571, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5695685744285583, "final_val_loss": 0.48052704334259033, "initial_val_acc": 0.44, "final_val_acc": 0.78, "best_val_acc": 0.8, "best_epoch": 8}, "improvement": 0.36000000000000004, "first_improvement_epoch": 2}}
|
149
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.38, "improved_accuracy": 0.82, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8480, "learning_rate": 0.03803327906630465, "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: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.2.weight": [
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[
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],
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}
## Activation Signature
### 0
fourier: [[24.785443, 24.811704, 26.833752, 32.838301, 33.608601, 36.170566, 37.712863, 42.017032, 44.256858, 179.818355], [21.706528, 22.415818, 23.672263, 25.107379, 27.414037, 27.746849, 27.907803, 29.301172, 31.910400, 38.677477], [27.800147, 28.381345, 28.956681, 29.053196, 29.497053, 35.680734, 37.385704, 42.373072, 43.634780, 186.214091], [23.812094, 24.450402, 26.457962, 28.789665, 30.421363, 30.559665, 32.453499, 34.174774, 37.963912, 176.192371], [26.984918, 28.237967, 28.370193, 28.375613, 28.486395, 32.769509, 33.543046, 36.833687, 36.934340, 172.797275]]
### 2
fourier: [[67.863543, 68.294107, 75.877682, 77.109717, 80.202157, 80.707476, 85.161718, 89.579454, 96.130898, 488.958698], [21.484442, 21.683182, 22.021143, 22.295304, 22.526710, 24.626938, 26.018653, 27.308651, 28.833125, 115.210110], [26.872142, 27.207970, 29.507119, 33.318664, 33.941831, 34.148991, 34.501827, 34.832490, 41.916520, 226.564825], [13.574748, 14.352075, 14.447248, 14.660194, 14.706151, 18.501853, 19.767999, 21.432172, 25.089177, 136.560210], [63.143349, 64.897106, 71.104575, 71.297546, 75.362799, 75.940823, 79.054618, 83.946765, 88.583941, 480.468761]]
### 4
fourier: [[139.010457, 140.939273, 157.242900, 161.456432, 163.887728, 164.624204, 174.769088, 181.788515, 200.073814, 1042.766425], [96.712640, 96.922855, 111.290412, 112.427527, 113.642381, 115.251630, 121.055288, 124.710164, 140.367962, 712.039406], [69.799961, 70.026623, 80.294416, 81.396033, 81.441373, 83.356165, 87.092886, 89.903467, 100.444028, 493.939662], [59.455084, 60.043015, 67.402259, 68.524584, 70.060422, 70.733165, 74.189898, 77.653826, 84.955708, 399.201750], [119.197891, 122.722526, 134.715855, 138.589460, 141.021518, 141.633245, 150.901257, 157.119395, 171.601009, 903.654391]]
### 6
fourier: [[139.177732, 141.701692, 156.741955, 161.728999, 164.214976, 164.347551, 175.088852, 182.124603, 200.278059, 973.786064], [226.098167, 231.832400, 256.106382, 263.101587, 267.331855, 267.402711, 284.993349, 296.744293, 325.745085, 1692.933909], [82.321260, 84.718704, 92.391685, 96.193031, 96.798160, 97.416147, 104.160374, 108.286168, 119.007152, 603.202686], [165.952189, 167.943703, 187.425691, 191.765348, 195.701946, 196.717129, 207.893423, 216.508115, 237.709698, 1167.001868], [117.009213, 118.490055, 132.056236, 135.503278, 137.804737, 138.457033, 146.619851, 152.642451, 167.893607, 839.899976]]
### 8
fourier: [[168.202658, 175.048433, 196.021767, 197.305462, 199.587629, 201.028128, 212.657416, 222.800957, 243.878934, 1237.433055]]
## 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: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.729634,
0.085138,
0.285556,
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],
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0.149828,
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0.659064
],
[
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0.543771,
0.128794,
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],
[
0.55058,
0.604608,
0.012427,
0.181576,
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],
[
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]
],
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[
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],
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"network.8.weight": [
[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[24.785443, 24.811704, 26.833752, 32.838301, 33.608601, 36.170566, 37.712863, 42.017032, 44.256858, 179.818355], [21.706528, 22.415818, 23.672263, 25.107379, 27.414037, 27.746849, 27.907803, 29.301172, 31.910400, 38.677477], [27.800147, 28.381345, 28.956681, 29.053196, 29.497053, 35.680734, 37.385704, 42.373072, 43.634780, 186.214091], [23.812094, 24.450402, 26.457962, 28.789665, 30.421363, 30.559665, 32.453499, 34.174774, 37.963912, 176.192371], [26.984918, 28.237967, 28.370193, 28.375613, 28.486395, 32.769509, 33.543046, 36.833687, 36.934340, 172.797275]]
### 2
fourier: [[67.863543, 68.294107, 75.877682, 77.109717, 80.202157, 80.707476, 85.161718, 89.579454, 96.130898, 488.958698], [21.484442, 21.683182, 22.021143, 22.295304, 22.526710, 24.626938, 26.018653, 27.308651, 28.833125, 115.210110], [26.872142, 27.207970, 29.507119, 33.318664, 33.941831, 34.148991, 34.501827, 34.832490, 41.916520, 226.564825], [13.574748, 14.352075, 14.447248, 14.660194, 14.706151, 18.501853, 19.767999, 21.432172, 25.089177, 136.560210], [63.143349, 64.897106, 71.104575, 71.297546, 75.362799, 75.940823, 79.054618, 83.946765, 88.583941, 480.468761]]
### 4
fourier: [[139.010457, 140.939273, 157.242900, 161.456432, 163.887728, 164.624204, 174.769088, 181.788515, 200.073814, 1042.766425], [96.712640, 96.922855, 111.290412, 112.427527, 113.642381, 115.251630, 121.055288, 124.710164, 140.367962, 712.039406], [69.799961, 70.026623, 80.294416, 81.396033, 81.441373, 83.356165, 87.092886, 89.903467, 100.444028, 493.939662], [59.455084, 60.043015, 67.402259, 68.524584, 70.060422, 70.733165, 74.189898, 77.653826, 84.955708, 399.201750], [119.197891, 122.722526, 134.715855, 138.589460, 141.021518, 141.633245, 150.901257, 157.119395, 171.601009, 903.654391]]
### 6
fourier: [[139.177732, 141.701692, 156.741955, 161.728999, 164.214976, 164.347551, 175.088852, 182.124603, 200.278059, 973.786064], [226.098167, 231.832400, 256.106382, 263.101587, 267.331855, 267.402711, 284.993349, 296.744293, 325.745085, 1692.933909], [82.321260, 84.718704, 92.391685, 96.193031, 96.798160, 97.416147, 104.160374, 108.286168, 119.007152, 603.202686], [165.952189, 167.943703, 187.425691, 191.765348, 195.701946, 196.717129, 207.893423, 216.508115, 237.709698, 1167.001868], [117.009213, 118.490055, 132.056236, 135.503278, 137.804737, 138.457033, 146.619851, 152.642451, 167.893607, 839.899976]]
### 8
fourier: [[168.202658, 175.048433, 196.021767, 197.305462, 199.587629, 201.028128, 212.657416, 222.800957, 243.878934, 1237.433055]]
## 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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284.9933492700034, 296.74429317986437, 325.7450847622902, 1692.933909073472]}, "2": {"fourier": [82.32126047970843, 84.71870425497029, 92.39168464457727, 96.19303142788986, 96.79816014268971, 97.41614677368203, 104.16037382529272, 108.28616849247112, 119.00715238531693, 603.2026861906052]}, "3": {"fourier": [165.9521886116499, 167.94370330986428, 187.4256906434582, 191.7653481679408, 195.70194569771797, 196.71712895742343, 207.8934232975499, 216.50811470505113, 237.70969844295547, 1167.0018682032824]}, "4": {"fourier": [117.00921272015965, 118.49005480912993, 132.05623606062758, 135.5032782121204, 137.80473671900978, 138.45703319875813, 146.61985066462296, 152.64245086782157, 167.8936069930899, 839.8999759927392]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [168.20265820801052, 175.04843297683652, 196.02176708812436, 197.3054615455196, 199.58762882831627, 201.02812781908668, 212.65741637730582, 222.80095653345327, 243.87893405378733, 1237.4330549612641]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.411589, 0.729634, 0.085138, 0.285556, -0.507477], [-0.728902, -0.084652, 0.149828, -0.108497, 0.659064], [0.737928, 0.127457, 0.543771, 0.128794, -0.599631], [0.55058, 0.604608, 0.012427, 0.181576, -0.202838], [0.758097, 0.335975, 0.074514, 0.252394, -0.494761]], "network.0.bias": [-0.008087, -0.26157, 0.245957, 0.005627, 0.27765], "network.2.weight": [[0.695938, -0.046573, 0.883745, 0.230003, 0.837106], [0.069888, -0.115114, -0.056863, -0.044183, -0.780953], [0.469393, -0.123013, 0.691608, -0.198828, 0.100609], [0.110887, -0.518842, 0.327988, -0.532053, -0.488702], [0.632818, -0.129749, 0.793408, 0.405167, 0.62514]], "network.2.bias": [0.084052, 0.333922, 0.304846, -0.320502, 0.416284], "network.4.weight": [[1.030869, -0.20367, 0.690914, -0.877005, 0.794832], [-0.646781, -0.384605, -1.006802, 0.694831, -0.397952], [-0.274775, -0.594378, -0.695729, 0.667285, -0.506323], [0.142327, 0.327891, 0.35222, -0.13878, 0.630296], [0.705418, -0.866306, 0.352088, -1.079728, 0.986328]], "network.4.bias": [-0.016566, 0.247773, 0.449322, -0.556723, -0.015726], "network.6.weight": [[-0.576894, 0.206809, 0.261155, -0.32771, -0.329765], [0.787916, -0.899087, -0.504791, 0.10619, 0.922837], [-0.18936, -0.241885, 0.091177, 0.022781, -0.479497], [-0.571883, 0.676945, 0.762012, -0.964543, -0.243586], [-0.554707, 0.092924, 0.675555, -0.548202, -0.06017]], "network.6.bias": [0.621958, -0.030022, 0.188436, 0.399387, 0.132489], "network.8.weight": [[0.756838, -0.743865, 0.174532, 0.983503, 0.053616]], "network.8.bias": [0.14724]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6803462505340576, "train_acc": 0.615, "val_loss": 0.7398225665092468, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6487970650196075, "train_acc": 0.615, "val_loss": 0.7601310610771179, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6459786593914032, "train_acc": 0.615, "val_loss": 0.7498615384101868, "val_acc": 0.38}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5842233598232269, "train_acc": 0.615, "val_loss": 0.6869596838951111, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5703625679016113, "train_acc": 0.53, "val_loss": 0.6005666255950928, "val_acc": 0.38}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4905177056789398, "train_acc": 0.655, "val_loss": 0.5490260124206543, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4124981462955475, "train_acc": 0.845, "val_loss": 0.5215954780578613, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.36980563402175903, "train_acc": 0.865, "val_loss": 0.4731653332710266, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.32467709481716156, "train_acc": 0.86, "val_loss": 0.49344077706336975, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3290904313325882, "train_acc": 0.875, "val_loss": 0.4919778108596802, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.31968067586421967, "train_acc": 0.87, "val_loss": 0.5093037486076355, "val_acc": 0.82}], "summary": {"total_epochs": 11, "degraded_epochs": 4, "improved_epochs": 7, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7398225665092468, "final_val_loss": 0.6869596838951111, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.6005666255950928, "final_val_loss": 0.5093037486076355, "initial_val_acc": 0.38, "final_val_acc": 0.82, "best_val_acc": 0.82, "best_epoch": 10}, "improvement": 0.43999999999999995, "first_improvement_epoch": 3}}
|
150
|
{"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": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3199, "learning_rate": 0.02415440030258776, "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: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.785292,
0.292299,
-0.091454,
0.010377,
-0.030265
],
[
-0.128922,
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0.622038,
0.637722,
0.175707
],
[
-0.156402,
-0.500941,
-0.098745,
0.696024,
-0.071127
],
[
-0.139277,
-0.180745,
-0.354031,
-0.17213,
0.591593
],
[
0.472947,
-0.121681,
0.522626,
-0.145428,
-0.038709
]
],
"network.0.bias": [
-0.307043,
0.524877,
-0.111656,
0.336147,
0.200838
],
"network.2.weight": [
[
-0.564247,
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0.281619,
0.719429,
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],
[
-0.313918,
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0.817854,
-0.110791
],
[
-0.090901,
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0.047955,
0.294255,
0.076569
],
[
-0.208066,
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-0.030191,
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],
[
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]
],
"network.2.bias": [
0.578101,
0.753105,
-0.367339,
0.049864,
0.089995
],
"network.4.weight": [
[
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],
[
0.775001,
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0.096199,
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0.621292
],
[
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],
[
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],
[
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]
],
"network.4.bias": [
0.930052,
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],
"network.6.weight": [
[
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],
[
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],
[
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],
[
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],
[
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]
],
"network.6.bias": [
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],
"network.8.weight": [
[
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]
],
"network.8.bias": [
0.192995
]
}
## Activation Signature
### 0
fourier: [[25.528419, 26.389625, 27.844377, 28.370390, 28.823126, 29.001415, 29.276588, 30.526428, 30.908094, 89.705639], [21.673160, 22.727545, 22.727897, 23.446127, 25.152702, 25.289489, 30.962274, 32.299495, 32.439683, 260.092373], [19.910200, 20.593716, 21.078897, 22.504469, 22.810444, 22.915031, 23.054919, 23.821354, 26.879266, 27.302120], [17.750705, 17.888186, 19.076993, 19.570123, 19.764702, 20.130081, 20.450596, 20.810930, 23.003050, 49.099994], [19.773791, 21.049119, 23.045189, 24.592329, 26.091820, 26.438389, 28.409912, 30.341497, 32.505451, 116.979153]]
### 2
fourier: [[21.793102, 22.143462, 22.479607, 23.012892, 23.674115, 23.851126, 24.273251, 24.392583, 32.058575, 140.425337], [16.523101, 16.608256, 17.304670, 18.632281, 18.645514, 19.685305, 19.712863, 21.460039, 28.638310, 130.939142], [2.576198, 2.628611, 2.715783, 2.833845, 2.986158, 3.553874, 3.874508, 3.988813, 5.176090, 27.702866], [12.143109, 14.425345, 16.101242, 16.151042, 16.385586, 18.930647, 18.944681, 19.751656, 20.748441, 94.579675], [23.483513, 24.534042, 25.147164, 25.543564, 26.702034, 27.696562, 27.809930, 30.236079, 34.009711, 118.425287]]
### 4
fourier: [[39.672644, 42.339413, 42.791472, 44.280013, 44.626272, 47.174367, 48.360194, 49.954302, 63.378784, 216.007518], [38.362165, 41.702083, 42.411484, 43.190120, 43.385367, 46.090197, 46.541402, 48.499504, 62.469216, 344.413852], [37.351717, 37.824139, 39.074012, 40.352221, 41.222070, 42.209171, 44.239210, 45.819146, 58.392174, 246.373883], [18.539308, 19.897428, 20.669710, 21.145775, 21.690421, 23.556018, 23.617890, 24.253145, 29.008020, 158.304531], [26.686569, 29.192732, 29.504842, 29.624212, 29.857773, 30.966050, 32.096287, 34.024184, 44.413134, 192.450334]]
### 6
fourier: [[3.549524, 3.692417, 3.723276, 3.865416, 3.981761, 4.062024, 4.258493, 4.295459, 5.670425, 38.325944], [10.947366, 10.974933, 12.571104, 12.607042, 12.901170, 13.039259, 13.229420, 14.265965, 15.560051, 24.276182], [33.012235, 35.573796, 36.029926, 37.549650, 37.927578, 38.319108, 40.542787, 41.192396, 52.790598, 269.533304], [21.012298, 22.344268, 22.771068, 23.688522, 24.111952, 24.438527, 25.673888, 26.126250, 33.248336, 171.891713], [7.726615, 7.730350, 8.235155, 8.756002, 9.146393, 9.343120, 11.286805, 11.550920, 12.754302, 24.622000]]
### 8
fourier: [[35.660490, 35.797730, 37.442497, 37.513993, 39.702208, 41.036513, 41.698510, 43.022113, 53.804456, 214.385302]]
## 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: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.785292,
0.292299,
-0.091454,
0.010377,
-0.030265
],
[
-0.128922,
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0.622038,
0.637722,
0.175707
],
[
-0.156402,
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0.696024,
-0.071127
],
[
-0.139277,
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0.591593
],
[
0.472947,
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]
],
"network.0.bias": [
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0.336147,
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],
"network.2.weight": [
[
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0.281619,
0.719429,
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],
[
-0.313918,
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0.476952,
0.817854,
-0.110791
],
[
-0.090901,
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0.047955,
0.294255,
0.076569
],
[
-0.208066,
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0.017593,
-0.030191,
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],
[
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]
],
"network.2.bias": [
0.578101,
0.753105,
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0.089995
],
"network.4.weight": [
[
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],
[
0.775001,
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0.096199,
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0.621292
],
[
-0.329773,
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],
[
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],
[
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]
],
"network.4.bias": [
0.930052,
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],
"network.6.weight": [
[
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0.048579
],
[
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],
[
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[
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[
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]
],
"network.6.bias": [
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0.428178
],
"network.8.weight": [
[
-0.153772,
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-0.536973,
-0.613194,
0.769275
]
],
"network.8.bias": [
0.192995
]
}
## Activation Signature
### 0
fourier: [[25.528419, 26.389625, 27.844377, 28.370390, 28.823126, 29.001415, 29.276588, 30.526428, 30.908094, 89.705639], [21.673160, 22.727545, 22.727897, 23.446127, 25.152702, 25.289489, 30.962274, 32.299495, 32.439683, 260.092373], [19.910200, 20.593716, 21.078897, 22.504469, 22.810444, 22.915031, 23.054919, 23.821354, 26.879266, 27.302120], [17.750705, 17.888186, 19.076993, 19.570123, 19.764702, 20.130081, 20.450596, 20.810930, 23.003050, 49.099994], [19.773791, 21.049119, 23.045189, 24.592329, 26.091820, 26.438389, 28.409912, 30.341497, 32.505451, 116.979153]]
### 2
fourier: [[21.793102, 22.143462, 22.479607, 23.012892, 23.674115, 23.851126, 24.273251, 24.392583, 32.058575, 140.425337], [16.523101, 16.608256, 17.304670, 18.632281, 18.645514, 19.685305, 19.712863, 21.460039, 28.638310, 130.939142], [2.576198, 2.628611, 2.715783, 2.833845, 2.986158, 3.553874, 3.874508, 3.988813, 5.176090, 27.702866], [12.143109, 14.425345, 16.101242, 16.151042, 16.385586, 18.930647, 18.944681, 19.751656, 20.748441, 94.579675], [23.483513, 24.534042, 25.147164, 25.543564, 26.702034, 27.696562, 27.809930, 30.236079, 34.009711, 118.425287]]
### 4
fourier: [[39.672644, 42.339413, 42.791472, 44.280013, 44.626272, 47.174367, 48.360194, 49.954302, 63.378784, 216.007518], [38.362165, 41.702083, 42.411484, 43.190120, 43.385367, 46.090197, 46.541402, 48.499504, 62.469216, 344.413852], [37.351717, 37.824139, 39.074012, 40.352221, 41.222070, 42.209171, 44.239210, 45.819146, 58.392174, 246.373883], [18.539308, 19.897428, 20.669710, 21.145775, 21.690421, 23.556018, 23.617890, 24.253145, 29.008020, 158.304531], [26.686569, 29.192732, 29.504842, 29.624212, 29.857773, 30.966050, 32.096287, 34.024184, 44.413134, 192.450334]]
### 6
fourier: [[3.549524, 3.692417, 3.723276, 3.865416, 3.981761, 4.062024, 4.258493, 4.295459, 5.670425, 38.325944], [10.947366, 10.974933, 12.571104, 12.607042, 12.901170, 13.039259, 13.229420, 14.265965, 15.560051, 24.276182], [33.012235, 35.573796, 36.029926, 37.549650, 37.927578, 38.319108, 40.542787, 41.192396, 52.790598, 269.533304], [21.012298, 22.344268, 22.771068, 23.688522, 24.111952, 24.438527, 25.673888, 26.126250, 33.248336, 171.891713], [7.726615, 7.730350, 8.235155, 8.756002, 9.146393, 9.343120, 11.286805, 11.550920, 12.754302, 24.622000]]
### 8
fourier: [[35.660490, 35.797730, 37.442497, 37.513993, 39.702208, 41.036513, 41.698510, 43.022113, 53.804456, 214.385302]]
## 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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24.59232877216347, 26.091819677323628, 26.438389366300104, 28.40991225189744, 30.34149723144622, 32.50545127113894, 116.97915304452181]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [21.793101607920505, 22.143461841197407, 22.479607494559943, 23.01289218157597, 23.67411510818613, 23.851126247044057, 24.273250558680747, 24.392582816528837, 32.058575495285915, 140.42533719539642]}, "1": {"fourier": [16.523100800414163, 16.608256360101894, 17.304669686995357, 18.632280562247107, 18.64551407592647, 19.68530510040513, 19.712863240528506, 21.460038919958965, 28.63830986583308, 130.93914178013802]}, "2": {"fourier": [2.576197639998817, 2.628610883613379, 2.7157833177968094, 2.8338453597075404, 2.9861576158230263, 3.5538738194337958, 3.8745076556466294, 3.988812516499592, 5.176090447099911, 27.702865660190582]}, "3": {"fourier": [12.143109311597199, 14.425345030485104, 16.101241989427145, 16.15104180304886, 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13.229420407306375, 14.265965352923377, 15.560051102065758, 24.276181638240814]}, "2": {"fourier": [33.01223544258456, 35.57379642088889, 36.02992637569144, 37.54964965165659, 37.92757770490385, 38.31910829247097, 40.54278684030488, 41.19239573199724, 52.79059829473798, 269.5333042740822]}, "3": {"fourier": [21.01229768200274, 22.34426817411745, 22.771068178497604, 23.68852175209704, 24.111952106872174, 24.43852670779794, 25.673888026478256, 26.12624960050813, 33.24833648131139, 171.89171266555786]}, "4": {"fourier": [7.726615257640907, 7.730349721089187, 8.235155105593037, 8.756001898938381, 9.146392909951553, 9.343119771970152, 11.286804586796896, 11.55092044045245, 12.754302015774671, 24.622000247240067]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [35.6604903613622, 35.79773006726924, 37.442496981425634, 37.513993465982345, 39.70220780230642, 41.036513467932984, 41.69850954604623, 43.022112730477104, 53.80445588841338, 214.3853022158146]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.785292, 0.292299, -0.091454, 0.010377, -0.030265], [-0.128922, -0.196551, 0.622038, 0.637722, 0.175707], [-0.156402, -0.500941, -0.098745, 0.696024, -0.071127], [-0.139277, -0.180745, -0.354031, -0.17213, 0.591593], [0.472947, -0.121681, 0.522626, -0.145428, -0.038709]], "network.0.bias": [-0.307043, 0.524877, -0.111656, 0.336147, 0.200838], "network.2.weight": [[-0.564247, 0.468738, 0.281619, 0.719429, -0.05585], [-0.313918, 0.259384, 0.476952, 0.817854, -0.110791], [-0.090901, -0.012538, 0.047955, 0.294255, 0.076569], [-0.208066, -0.100245, 0.017593, -0.030191, -0.458065], [-0.469245, 0.481175, 0.728497, 0.374431, -0.102358]], "network.2.bias": [0.578101, 0.753105, -0.367339, 0.049864, 0.089995], "network.4.weight": [[-0.525898, -0.812662, -0.437159, 0.586974, -0.871633], [0.775001, 0.816212, 0.096199, -0.495869, 0.621292], [-0.329773, -0.926365, -0.439089, 0.535799, -0.784041], [-0.396778, -0.062764, -0.164838, -0.113381, -0.549112], [-0.15147, -0.961023, -0.389604, 0.873643, -0.434751]], "network.4.bias": [0.930052, 0.415642, 0.297618, -0.232748, 0.175306], "network.6.weight": [[-0.088927, -0.092617, -0.06518, -0.174861, 0.048579], [0.398638, -0.212315, 0.921984, -0.056845, 0.617261], [-0.823256, 0.78327, -0.484441, 0.01066, -0.283665], [-0.576202, 0.488541, -0.425206, -0.028529, -0.421019], [0.760245, -0.075766, 0.879928, -0.202521, 0.284427]], "network.6.bias": [-0.072963, 0.471999, 0.147275, 0.137269, 0.428178], "network.8.weight": [[-0.153772, 0.406809, -0.536973, -0.613194, 0.769275]], "network.8.bias": [0.192995]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6913756132125854, "train_acc": 0.555, "val_loss": 0.6812740564346313, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6818560361862183, "train_acc": 0.565, "val_loss": 0.6686590313911438, "val_acc": 0.6}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6672426462173462, "train_acc": 0.565, "val_loss": 0.6443861126899719, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6527709066867828, "train_acc": 0.475, "val_loss": 0.5989642143249512, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5942909717559814, "train_acc": 0.795, "val_loss": 0.5265699028968811, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5157276839017868, "train_acc": 0.865, "val_loss": 0.44904664158821106, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.44193847477436066, "train_acc": 0.895, "val_loss": 0.37607046961784363, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3641943633556366, "train_acc": 0.9, "val_loss": 0.31004011631011963, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.30127622187137604, "train_acc": 0.92, "val_loss": 0.24984310567378998, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2452518492937088, "train_acc": 0.93, "val_loss": 0.19648928940296173, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.22310642898082733, "train_acc": 0.935, "val_loss": 0.15173086524009705, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.1737995147705078, "train_acc": 0.935, "val_loss": 0.12730328738689423, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.19082249701023102, "train_acc": 0.94, "val_loss": 0.13584908843040466, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6812740564346313, "final_val_loss": 0.6443861126899719, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.5989642143249512, "final_val_loss": 0.13584908843040466, "initial_val_acc": 0.74, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 10}, "improvement": 0.33999999999999997, "first_improvement_epoch": 2}}
|
151
|
{"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": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2514, "learning_rate": 0.07462985074595022, "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: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.887944,
0.358513,
0.300503,
0.198792,
0.31405
],
[
-0.542114,
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0.686755
],
[
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0.10694,
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0.04496
],
[
-0.089743,
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],
[
-0.311348,
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],
[
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],
[
-0.249424,
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-0.566788,
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],
[
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## Activation Signature
### 0
fourier: [[22.684006, 22.757920, 22.824124, 24.656752, 28.114194, 28.979967, 29.642845, 33.648107, 39.195186, 100.668114], [25.628219, 27.307000, 28.299767, 28.850579, 29.373927, 31.165677, 31.784914, 32.318184, 37.243870, 164.696727], [9.973614, 10.443347, 11.373482, 11.392136, 12.158624, 12.232288, 13.784701, 15.467985, 15.721047, 110.593649], [20.018348, 22.261932, 22.500066, 22.868651, 22.990359, 23.658362, 30.114210, 33.139917, 35.513003, 42.529603], [26.706532, 27.766037, 28.158582, 28.473491, 30.297204, 31.893812, 32.470066, 40.077614, 45.882690, 265.282506], [18.564963, 19.188701, 19.246544, 20.230362, 20.435418, 21.032294, 21.760093, 22.829972, 24.610147, 35.704766], [36.423976, 38.151716, 43.666547, 44.967010, 49.425595, 51.277266, 56.691990, 57.363042, 63.996783, 511.147498], [19.382631, 20.495863, 20.713229, 21.290615, 21.343207, 24.834025, 25.518573, 28.142801, 31.000942, 38.422352]]
### 2
fourier: [[14.856492, 15.032842, 16.153871, 16.316607, 16.864582, 20.076167, 20.077611, 20.087729, 24.191127, 187.894686], [16.878579, 19.673035, 20.516442, 21.305119, 21.645450, 23.136641, 23.286408, 25.730608, 28.794633, 116.827269], [23.467348, 24.527160, 25.216407, 25.234810, 31.029185, 31.703981, 32.272706, 35.897189, 36.011164, 165.497803], [32.853017, 34.767144, 35.706409, 36.695436, 43.693346, 44.770477, 47.755933, 48.024715, 48.128028, 218.433297], [16.088189, 16.222793, 17.254419, 18.400722, 18.731716, 19.282603, 22.865923, 23.708718, 28.877645, 92.422197], [12.320121, 13.620378, 14.145328, 14.755096, 15.427483, 15.530992, 18.139760, 19.039357, 23.905687, 92.420291], [30.141941, 31.801872, 32.032831, 34.829519, 35.433114, 36.430805, 43.359523, 44.908701, 48.275750, 338.586636], [10.140275, 11.673136, 12.107961, 12.431607, 13.515057, 13.698550, 14.922640, 15.780332, 15.822798, 32.961885]]
### 4
fourier: [[23.567896, 23.917234, 24.025151, 26.327431, 29.169608, 30.406346, 31.818573, 34.645971, 38.703859, 181.092417], [23.379921, 23.442251, 23.979465, 24.789426, 30.170683, 30.224678, 34.269276, 34.279131, 36.390112, 184.733413], [25.878591, 26.491522, 26.919089, 28.880301, 32.878085, 33.952863, 36.054852, 38.971641, 42.040969, 210.805662], [18.450289, 18.519103, 18.608541, 20.235648, 22.869539, 24.080209, 25.174832, 27.055002, 31.174099, 101.197555], [9.842145, 10.078519, 10.116049, 11.002972, 12.485421, 13.452624, 14.128871, 14.937410, 16.235161, 70.470550], [11.608451, 12.195039, 12.937743, 13.126772, 15.695016, 15.975998, 17.840367, 17.909851, 19.753592, 88.226000], [6.557280, 6.615020, 7.311850, 7.565719, 8.388630, 8.749515, 8.947830, 9.342411, 10.426273, 66.576204], [20.377797, 20.432997, 20.802042, 22.373538, 25.625106, 25.745999, 27.309533, 30.047185, 34.248664, 157.798552]]
### 6
fourier: [[46.341673, 49.756354, 50.580722, 51.931887, 62.830954, 63.524644, 67.428866, 74.437050, 80.288334, 369.872641], [27.310573, 29.950798, 30.109582, 31.169517, 37.969565, 39.351474, 41.434090, 45.287123, 47.868857, 236.238484], [17.900627, 19.255105, 19.923370, 20.026015, 23.468637, 24.756954, 26.058173, 28.447885, 30.662946, 128.363842], [14.140971, 15.692625, 16.127175, 16.629507, 16.999274, 19.914191, 20.642416, 21.410010, 22.402077, 100.837861], [34.618042, 37.374648, 37.738537, 39.258834, 46.786606, 47.071761, 50.214331, 55.442384, 59.233293, 308.683337], [27.911059, 30.554507, 31.121381, 31.737143, 38.835733, 39.503869, 42.276045, 45.599702, 48.431079, 249.657291], [31.846207, 32.388025, 32.671350, 35.738915, 40.739921, 43.039296, 43.417090, 49.756117, 53.977708, 261.641125], [28.079654, 30.502652, 31.338099, 31.386347, 36.787394, 38.933325, 40.962031, 44.610475, 48.081064, 229.429312]]
### 8
fourier: [[44.503668, 47.743853, 48.034931, 49.819028, 61.058716, 64.009230, 64.606463, 73.773799, 78.298507, 407.107394], [46.567895, 51.472556, 52.510604, 52.893043, 64.142620, 66.294575, 68.762987, 77.937349, 82.126300, 429.981780], [13.237624, 14.714052, 15.096998, 15.495219, 17.918096, 19.209633, 19.757013, 22.165840, 23.267760, 93.947978], [37.795277, 40.823278, 42.092617, 42.306521, 50.618156, 52.703777, 53.767105, 62.244633, 66.037695, 339.143621], [33.769875, 36.170597, 36.889685, 37.633230, 45.356833, 46.300848, 47.550626, 54.960758, 58.489687, 353.375979], [18.003520, 18.043025, 19.183246, 20.003722, 23.843376, 26.118640, 27.663255, 30.196115, 32.168481, 147.817951], [45.220786, 49.414000, 49.431527, 50.929944, 62.892725, 63.528079, 66.496499, 75.115242, 79.403981, 349.878782], [46.020435, 50.079400, 51.076945, 51.810495, 62.908229, 64.224385, 66.822402, 75.848095, 80.314484, 432.108275]]
### 10
fourier: [[22.133981, 23.812461, 24.098682, 24.778692, 30.583950, 31.895230, 32.462596, 36.613169, 38.692013, 181.974486]]
## 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: 5
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: [[22.684006, 22.757920, 22.824124, 24.656752, 28.114194, 28.979967, 29.642845, 33.648107, 39.195186, 100.668114], [25.628219, 27.307000, 28.299767, 28.850579, 29.373927, 31.165677, 31.784914, 32.318184, 37.243870, 164.696727], [9.973614, 10.443347, 11.373482, 11.392136, 12.158624, 12.232288, 13.784701, 15.467985, 15.721047, 110.593649], [20.018348, 22.261932, 22.500066, 22.868651, 22.990359, 23.658362, 30.114210, 33.139917, 35.513003, 42.529603], [26.706532, 27.766037, 28.158582, 28.473491, 30.297204, 31.893812, 32.470066, 40.077614, 45.882690, 265.282506], [18.564963, 19.188701, 19.246544, 20.230362, 20.435418, 21.032294, 21.760093, 22.829972, 24.610147, 35.704766], [36.423976, 38.151716, 43.666547, 44.967010, 49.425595, 51.277266, 56.691990, 57.363042, 63.996783, 511.147498], [19.382631, 20.495863, 20.713229, 21.290615, 21.343207, 24.834025, 25.518573, 28.142801, 31.000942, 38.422352]]
### 2
fourier: [[14.856492, 15.032842, 16.153871, 16.316607, 16.864582, 20.076167, 20.077611, 20.087729, 24.191127, 187.894686], [16.878579, 19.673035, 20.516442, 21.305119, 21.645450, 23.136641, 23.286408, 25.730608, 28.794633, 116.827269], [23.467348, 24.527160, 25.216407, 25.234810, 31.029185, 31.703981, 32.272706, 35.897189, 36.011164, 165.497803], [32.853017, 34.767144, 35.706409, 36.695436, 43.693346, 44.770477, 47.755933, 48.024715, 48.128028, 218.433297], [16.088189, 16.222793, 17.254419, 18.400722, 18.731716, 19.282603, 22.865923, 23.708718, 28.877645, 92.422197], [12.320121, 13.620378, 14.145328, 14.755096, 15.427483, 15.530992, 18.139760, 19.039357, 23.905687, 92.420291], [30.141941, 31.801872, 32.032831, 34.829519, 35.433114, 36.430805, 43.359523, 44.908701, 48.275750, 338.586636], [10.140275, 11.673136, 12.107961, 12.431607, 13.515057, 13.698550, 14.922640, 15.780332, 15.822798, 32.961885]]
### 4
fourier: [[23.567896, 23.917234, 24.025151, 26.327431, 29.169608, 30.406346, 31.818573, 34.645971, 38.703859, 181.092417], [23.379921, 23.442251, 23.979465, 24.789426, 30.170683, 30.224678, 34.269276, 34.279131, 36.390112, 184.733413], [25.878591, 26.491522, 26.919089, 28.880301, 32.878085, 33.952863, 36.054852, 38.971641, 42.040969, 210.805662], [18.450289, 18.519103, 18.608541, 20.235648, 22.869539, 24.080209, 25.174832, 27.055002, 31.174099, 101.197555], [9.842145, 10.078519, 10.116049, 11.002972, 12.485421, 13.452624, 14.128871, 14.937410, 16.235161, 70.470550], [11.608451, 12.195039, 12.937743, 13.126772, 15.695016, 15.975998, 17.840367, 17.909851, 19.753592, 88.226000], [6.557280, 6.615020, 7.311850, 7.565719, 8.388630, 8.749515, 8.947830, 9.342411, 10.426273, 66.576204], [20.377797, 20.432997, 20.802042, 22.373538, 25.625106, 25.745999, 27.309533, 30.047185, 34.248664, 157.798552]]
### 6
fourier: [[46.341673, 49.756354, 50.580722, 51.931887, 62.830954, 63.524644, 67.428866, 74.437050, 80.288334, 369.872641], [27.310573, 29.950798, 30.109582, 31.169517, 37.969565, 39.351474, 41.434090, 45.287123, 47.868857, 236.238484], [17.900627, 19.255105, 19.923370, 20.026015, 23.468637, 24.756954, 26.058173, 28.447885, 30.662946, 128.363842], [14.140971, 15.692625, 16.127175, 16.629507, 16.999274, 19.914191, 20.642416, 21.410010, 22.402077, 100.837861], [34.618042, 37.374648, 37.738537, 39.258834, 46.786606, 47.071761, 50.214331, 55.442384, 59.233293, 308.683337], [27.911059, 30.554507, 31.121381, 31.737143, 38.835733, 39.503869, 42.276045, 45.599702, 48.431079, 249.657291], [31.846207, 32.388025, 32.671350, 35.738915, 40.739921, 43.039296, 43.417090, 49.756117, 53.977708, 261.641125], [28.079654, 30.502652, 31.338099, 31.386347, 36.787394, 38.933325, 40.962031, 44.610475, 48.081064, 229.429312]]
### 8
fourier: [[44.503668, 47.743853, 48.034931, 49.819028, 61.058716, 64.009230, 64.606463, 73.773799, 78.298507, 407.107394], [46.567895, 51.472556, 52.510604, 52.893043, 64.142620, 66.294575, 68.762987, 77.937349, 82.126300, 429.981780], [13.237624, 14.714052, 15.096998, 15.495219, 17.918096, 19.209633, 19.757013, 22.165840, 23.267760, 93.947978], [37.795277, 40.823278, 42.092617, 42.306521, 50.618156, 52.703777, 53.767105, 62.244633, 66.037695, 339.143621], [33.769875, 36.170597, 36.889685, 37.633230, 45.356833, 46.300848, 47.550626, 54.960758, 58.489687, 353.375979], [18.003520, 18.043025, 19.183246, 20.003722, 23.843376, 26.118640, 27.663255, 30.196115, 32.168481, 147.817951], [45.220786, 49.414000, 49.431527, 50.929944, 62.892725, 63.528079, 66.496499, 75.115242, 79.403981, 349.878782], [46.020435, 50.079400, 51.076945, 51.810495, 62.908229, 64.224385, 66.822402, 75.848095, 80.314484, 432.108275]]
### 10
fourier: [[22.133981, 23.812461, 24.098682, 24.778692, 30.583950, 31.895230, 32.462596, 36.613169, 38.692013, 181.974486]]
## 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": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.887944, 0.358513, 0.300503, 0.198792, 0.31405], [-0.542114, 0.221194, -0.029068, 0.520518, 0.686755], [0.179034, 0.038047, 0.10694, 0.288834, 0.04496], [-0.089743, -0.774752, 0.372715, 0.119003, 0.498416], [-0.311348, -0.528089, -0.545908, 0.093582, -0.384201], [0.382034, 0.487243, -0.032757, -0.290329, -0.233101], [-0.249424, -0.386898, -0.697108, -0.566788, -0.911367], [-0.571072, 0.130613, 0.338638, 0.452402, -0.279585]], "network.0.bias": [0.1289, 0.199029, 0.038465, -0.251283, -0.184325, 0.011947, -0.868363, -0.43313], "network.2.weight": [[0.129577, -0.633602, 0.120582, -0.384655, 0.392592, -0.487205, 0.170909, -0.286417], [-0.478914, -0.198347, -0.247293, -0.182873, 0.04952, 0.319223, -0.330191, -0.299803], [-0.941765, -0.171129, -0.212182, -0.168068, -0.530763, 0.38812, 0.027833, -0.201462], [0.858476, 0.569044, -0.372977, 0.620396, -0.261785, -0.459111, 0.181487, 0.265766], [0.108402, 0.217663, -0.280463, 0.33117, -0.502372, -0.224254, 0.477511, 0.756848], [-0.498735, 0.037144, 0.203507, -0.504105, 0.040234, -0.254743, 0.171836, -0.497829], [-0.733065, -0.557141, -0.261064, -0.741776, 0.245087, -0.361995, 0.556616, -0.472112], [0.789543, -0.119618, -0.05029, 0.43449, -0.116879, 0.161988, 0.286914, -0.565775]], "network.2.bias": [-0.466765, 0.148004, 0.017347, 0.329726, 0.15173, 0.181708, -0.394577, -0.341197], "network.4.weight": [[-0.00354, -0.492198, -0.290731, 0.55466, 0.534447, 0.110738, -0.057188, -0.116485], [-0.143129, -0.665247, -0.551399, 0.438708, 0.380575, -0.236652, 0.398725, 0.560524], [-0.482991, -0.492993, -0.431687, 0.738551, 0.355324, -0.146323, -0.16177, -0.196715], [-0.316688, 0.473232, 0.277829, -0.256114, -0.626674, 0.013753, -0.578865, -0.21776], [0.087898, 0.348621, 0.207985, -0.254756, -0.136183, 0.066085, 0.015231, -0.000334], [0.123655, 0.009686, 0.497734, -0.207272, -0.304389, 0.284096, 0.1604, -0.249767], [-0.450722, -0.199758, -0.0341, 0.222431, -0.141051, 0.131062, -0.318004, 0.251731], [-0.136556, 0.097036, 0.300763, -0.325766, -0.714112, 0.441211, -0.068831, -0.123607]], "network.4.bias": [0.05608, 0.322098, 0.096602, 0.241918, 0.0147, -0.008378, 0.182393, -0.079445], "network.6.weight": [[-0.634799, -0.976369, -0.537615, 0.455196, 0.178304, 0.324897, 0.373124, 0.275206], [0.277768, 0.325848, 0.470546, -0.681465, -0.079514, -0.462883, 0.332188, -0.349723], [-0.32619, -0.388217, -0.122073, 0.302512, -0.067265, -0.026832, 0.110555, -0.355782], [-0.355754, 0.268283, -0.41118, -0.092187, 0.006748, -0.537569, -0.491335, -0.086458], [-0.547626, -0.160345, -0.725466, 0.493277, -0.328807, 0.36834, -0.156955, 0.438635], [0.567668, 0.359093, 0.18732, -0.432738, -0.417502, -0.383567, 0.444779, -0.39826], [0.729819, -0.228544, 0.702134, -0.505157, -0.866144, -0.187126, 0.182807, -0.249276], [-0.471195, -0.666474, -0.230956, 0.163789, -0.240247, -0.213686, 0.300423, 0.325458]], "network.6.bias": [0.222592, 0.111062, 0.224384, 0.304878, -0.222177, 0.165239, 0.124991, 0.116009], "network.8.weight": [[-0.700246, 0.493878, -0.284793, -0.706009, -0.174797, 0.557502, 0.476242, -0.188402], [-0.19763, -0.260808, 0.089943, 0.246799, 0.186157, -1.02968, -0.420199, 0.210953], [-0.128538, 0.208255, 0.114692, -0.017672, 0.01948, 0.243487, 0.049381, 0.432164], [0.043817, -0.138381, 0.166719, 0.191484, -0.212935, -0.540839, -0.660711, -0.508624], [-0.130302, -0.187423, -0.240297, 0.431234, 0.291052, -0.280855, -0.710381, 0.302207], [-0.375203, 0.274519, -0.883086, -0.241301, -0.165033, 0.107348, 0.196873, -0.206618], [0.426693, -0.873951, 0.272354, -0.099947, -0.049099, -0.215913, -0.513315, 0.454463], [0.165074, -0.523495, -0.012444, 0.126269, 0.248059, -0.502089, -0.618667, -0.136606]], "network.8.bias": [0.3082, 0.075028, -0.337186, 0.081886, -0.506979, 0.09087, 0.50604, -0.177798], "network.10.weight": [[-0.436507, 0.096838, -0.147771, 0.007546, 0.204523, -0.032823, 0.283336, 0.439595]], "network.10.bias": [0.146845]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6950726509094238, "train_acc": 0.485, "val_loss": 0.7284289598464966, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.607324868440628, "train_acc": 0.615, "val_loss": 0.8012520670890808, "val_acc": 0.36}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.551783561706543, "train_acc": 0.615, "val_loss": 0.534563422203064, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.36587168276309967, "train_acc": 0.83, "val_loss": 0.7489549517631531, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5558292269706726, "train_acc": 0.905, "val_loss": 0.26031407713890076, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.2963367849588394, "train_acc": 0.895, "val_loss": 0.4239882230758667, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.33202776312828064, "train_acc": 0.885, "val_loss": 0.35021963715553284, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.27417780458927155, "train_acc": 0.93, "val_loss": 0.29741019010543823, "val_acc": 0.94}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7284289598464966, "final_val_loss": 0.534563422203064, "initial_val_acc": 0.36, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.7489549517631531, "final_val_loss": 0.29741019010543823, "initial_val_acc": 0.9, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 6}, "improvement": 0.24, "first_improvement_epoch": 2}}
|
152
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.46, "improved_accuracy": 0.76, "improvement": 0.3, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9386, "learning_rate": 0.0890168344617447, "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: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[21.601605, 22.131902, 22.278388, 24.205634, 26.410075, 28.423597, 28.534324, 33.544959, 36.850869, 217.872608], [20.792099, 21.061690, 21.539095, 22.195079, 22.318847, 22.919859, 24.600365, 27.135287, 27.173539, 142.528184], [19.608752, 19.962049, 20.196267, 21.339285, 23.020509, 23.732335, 24.139226, 24.186653, 29.579953, 181.350981], [26.408446, 26.549634, 27.539727, 28.285359, 31.569911, 35.807403, 36.966686, 37.014199, 48.873652, 113.640188], [29.167746, 29.582972, 29.824188, 33.760068, 37.748718, 37.882907, 40.129146, 40.413486, 40.805906, 48.099000]]
### 2
fourier: [[25.908922, 25.910817, 27.286682, 29.459267, 29.796652, 30.296856, 33.826224, 38.696256, 44.473743, 96.877507], [8.706272, 9.303083, 9.653838, 9.769441, 10.116527, 10.809971, 10.859865, 11.355827, 12.353310, 145.019062], [18.478689, 20.881008, 21.031410, 21.563508, 22.082904, 22.134920, 23.424107, 26.494059, 27.093644, 36.649057], [13.845697, 14.061918, 14.206005, 15.203800, 15.220913, 16.159308, 16.846115, 18.153691, 24.923259, 44.724975], [11.475422, 11.742002, 11.931874, 11.954647, 12.676054, 12.834243, 13.345411, 14.196100, 16.829533, 55.003596]]
### 4
fourier: [[22.234263, 22.510457, 24.043624, 24.422819, 24.819071, 25.331509, 27.943912, 35.270961, 36.270575, 59.199705], [6.088190, 6.428687, 6.640647, 6.963833, 7.392595, 7.998071, 8.281270, 8.582132, 8.772946, 83.500883], [9.396486, 9.822074, 10.507261, 10.846804, 11.287101, 11.882851, 12.896213, 14.163702, 16.947182, 95.671702], [24.624203, 25.196541, 28.472538, 28.524477, 29.748777, 29.837406, 31.609471, 39.685217, 43.044552, 86.852779], [19.530371, 19.801759, 20.083009, 20.516908, 20.803357, 23.691455, 27.205932, 28.706631, 30.919076, 35.044322]]
### 6
fourier: [[15.555193, 16.531987, 17.125712, 18.300268, 20.905021, 21.959921, 22.801213, 30.820084, 32.094116, 81.377181], [7.195702, 7.630981, 7.944475, 8.201624, 9.444989, 9.919674, 10.650640, 14.079248, 14.778363, 105.191398], [32.775684, 34.840009, 36.101070, 38.863161, 44.390378, 46.584969, 47.786196, 65.128386, 67.434820, 202.437539], [7.798134, 8.013269, 8.229588, 9.333603, 10.514391, 10.847386, 11.047734, 15.213371, 15.665174, 74.926021], [40.895741, 43.371531, 44.716808, 49.026320, 55.595998, 58.455190, 59.464787, 81.459799, 84.656539, 256.403390]]
### 8
fourier: [[36.429784, 38.599373, 40.179414, 43.064960, 49.392791, 51.974504, 52.812832, 72.427492, 74.861362, 182.590368]]
## 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: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[21.601605, 22.131902, 22.278388, 24.205634, 26.410075, 28.423597, 28.534324, 33.544959, 36.850869, 217.872608], [20.792099, 21.061690, 21.539095, 22.195079, 22.318847, 22.919859, 24.600365, 27.135287, 27.173539, 142.528184], [19.608752, 19.962049, 20.196267, 21.339285, 23.020509, 23.732335, 24.139226, 24.186653, 29.579953, 181.350981], [26.408446, 26.549634, 27.539727, 28.285359, 31.569911, 35.807403, 36.966686, 37.014199, 48.873652, 113.640188], [29.167746, 29.582972, 29.824188, 33.760068, 37.748718, 37.882907, 40.129146, 40.413486, 40.805906, 48.099000]]
### 2
fourier: [[25.908922, 25.910817, 27.286682, 29.459267, 29.796652, 30.296856, 33.826224, 38.696256, 44.473743, 96.877507], [8.706272, 9.303083, 9.653838, 9.769441, 10.116527, 10.809971, 10.859865, 11.355827, 12.353310, 145.019062], [18.478689, 20.881008, 21.031410, 21.563508, 22.082904, 22.134920, 23.424107, 26.494059, 27.093644, 36.649057], [13.845697, 14.061918, 14.206005, 15.203800, 15.220913, 16.159308, 16.846115, 18.153691, 24.923259, 44.724975], [11.475422, 11.742002, 11.931874, 11.954647, 12.676054, 12.834243, 13.345411, 14.196100, 16.829533, 55.003596]]
### 4
fourier: [[22.234263, 22.510457, 24.043624, 24.422819, 24.819071, 25.331509, 27.943912, 35.270961, 36.270575, 59.199705], [6.088190, 6.428687, 6.640647, 6.963833, 7.392595, 7.998071, 8.281270, 8.582132, 8.772946, 83.500883], [9.396486, 9.822074, 10.507261, 10.846804, 11.287101, 11.882851, 12.896213, 14.163702, 16.947182, 95.671702], [24.624203, 25.196541, 28.472538, 28.524477, 29.748777, 29.837406, 31.609471, 39.685217, 43.044552, 86.852779], [19.530371, 19.801759, 20.083009, 20.516908, 20.803357, 23.691455, 27.205932, 28.706631, 30.919076, 35.044322]]
### 6
fourier: [[15.555193, 16.531987, 17.125712, 18.300268, 20.905021, 21.959921, 22.801213, 30.820084, 32.094116, 81.377181], [7.195702, 7.630981, 7.944475, 8.201624, 9.444989, 9.919674, 10.650640, 14.079248, 14.778363, 105.191398], [32.775684, 34.840009, 36.101070, 38.863161, 44.390378, 46.584969, 47.786196, 65.128386, 67.434820, 202.437539], [7.798134, 8.013269, 8.229588, 9.333603, 10.514391, 10.847386, 11.047734, 15.213371, 15.665174, 74.926021], [40.895741, 43.371531, 44.716808, 49.026320, 55.595998, 58.455190, 59.464787, 81.459799, 84.656539, 256.403390]]
### 8
fourier: [[36.429784, 38.599373, 40.179414, 43.064960, 49.392791, 51.974504, 52.812832, 72.427492, 74.861362, 182.590368]]
## 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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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6767901480197906, "train_acc": 0.57, "val_loss": 0.8233134746551514, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7058750092983246, "train_acc": 0.57, "val_loss": 0.7064361572265625, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6798624992370605, "train_acc": 0.51, "val_loss": 0.6266962289810181, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6397000551223755, "train_acc": 0.63, "val_loss": 0.6348894238471985, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5881923139095306, "train_acc": 0.675, "val_loss": 0.627639889717102, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.591649055480957, "train_acc": 0.695, "val_loss": 0.6277942657470703, "val_acc": 0.76}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.8233134746551514, "final_val_loss": 0.7064361572265625, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.6266962289810181, "final_val_loss": 0.6277942657470703, "initial_val_acc": 0.74, "final_val_acc": 0.76, "best_val_acc": 0.76, "best_epoch": 5}, "improvement": 0.3, "first_improvement_epoch": 1}}
|
153
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.84, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7251, "learning_rate": 0.023154592963405562, "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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.12.bias": [
-0.013525
]
}
## Activation Signature
### 0
fourier: [[16.706017, 16.840942, 18.595333, 19.859657, 21.248084, 21.334125, 21.643987, 27.514286, 28.691398, 194.105075], [13.050298, 13.361241, 14.050656, 14.920858, 15.189350, 16.259135, 16.633551, 17.045342, 24.042966, 38.140112], [15.190259, 16.122223, 16.349258, 16.627681, 17.992385, 18.238806, 18.755885, 19.773899, 22.039470, 161.217840], [14.978777, 15.382554, 16.504385, 16.710197, 18.642805, 19.296468, 20.470756, 21.706681, 22.110845, 70.666541], [17.970141, 19.592458, 19.996196, 21.236622, 25.109893, 26.594043, 27.615389, 27.965076, 28.852177, 66.201818], [16.454777, 16.688440, 16.721019, 16.953559, 17.588799, 20.358992, 21.285624, 23.143171, 23.364110, 156.580776]]
### 2
fourier: [[5.215062, 6.032661, 6.722335, 7.271377, 7.329661, 7.669531, 7.782377, 7.918189, 9.032746, 25.982121], [6.460989, 6.497886, 6.646454, 7.277715, 7.317296, 7.332100, 8.439345, 9.489341, 10.593545, 87.301776], [7.337974, 7.342940, 7.588360, 7.876019, 8.261992, 8.376744, 8.666686, 9.366925, 11.220706, 13.186155], [4.534793, 4.839616, 5.064254, 5.422926, 5.525291, 5.822633, 6.096244, 6.791548, 7.435753, 38.603852], [4.130081, 4.179119, 4.190046, 4.505059, 4.896912, 5.057007, 5.718782, 7.047215, 7.134091, 73.503718], [6.724583, 6.746371, 6.916441, 6.953581, 6.983379, 7.491475, 7.651328, 8.018635, 8.359640, 9.024338]]
### 4
fourier: [[0.917084, 0.968163, 1.002455, 1.034115, 1.123605, 1.135138, 1.282376, 1.381354, 1.541969, 23.993708], [6.207772, 6.514496, 6.810809, 6.968121, 7.143333, 7.389718, 7.764511, 7.976733, 8.365334, 60.690762], [3.908940, 3.991886, 4.018951, 4.076023, 4.364381, 4.489959, 4.613149, 5.025950, 5.128671, 5.788034], [0.543311, 0.587560, 0.659019, 0.715187, 0.767530, 0.808753, 0.884035, 0.962575, 1.057341, 9.349332], [0.858487, 0.872579, 0.913577, 0.928872, 1.017193, 1.038829, 1.080511, 1.097247, 1.191968, 12.895230], [2.175944, 2.248621, 2.333694, 2.430815, 2.743991, 2.861427, 2.930403, 3.194040, 3.557994, 34.491476]]
### 6
fourier: [[1.263251, 1.373061, 1.418018, 1.572865, 1.602048, 1.734736, 1.766988, 1.885949, 1.903266, 38.114042], [1.582242, 1.651056, 1.664091, 1.693266, 1.723903, 1.757014, 1.865476, 2.279069, 2.480654, 2.845932], [4.048536, 4.105722, 4.165495, 4.210364, 4.383522, 4.400260, 4.658836, 5.823331, 6.278802, 26.921664], [2.227478, 2.240069, 2.289777, 2.306399, 2.602543, 2.648106, 2.766592, 2.874120, 3.260592, 14.425953], [3.209644, 3.352501, 3.555969, 3.578954, 3.663576, 3.805733, 3.869309, 4.204259, 4.247851, 34.561330], [0.794554, 0.795829, 0.799257, 0.821814, 0.832436, 0.862874, 0.878466, 1.182458, 1.258531, 39.737140]]
### 8
fourier: [[1.549363, 1.596078, 1.671230, 1.697127, 1.703003, 1.778979, 1.939638, 2.252153, 2.389912, 30.342771], [0.799923, 0.820454, 0.839236, 0.900386, 0.910576, 0.924270, 0.986614, 1.298601, 1.327888, 23.095412], [1.148908, 1.187411, 1.222785, 1.278180, 1.297740, 1.357249, 1.507693, 1.634986, 1.749862, 27.933554], [2.270652, 2.372222, 2.464417, 2.464597, 2.498422, 2.572488, 2.798318, 3.246005, 3.403699, 25.857404], [3.305762, 3.412979, 3.519748, 3.664814, 3.758971, 3.963051, 4.351492, 4.702091, 5.062515, 43.658273], [0.930026, 1.042757, 1.150029, 1.222020, 1.328015, 1.346172, 1.363652, 1.515933, 1.578146, 15.969848]]
### 10
fourier: [[1.528063, 1.575457, 1.624857, 1.629398, 1.643603, 1.773249, 1.960338, 2.213748, 2.327945, 72.514220], [1.072130, 1.098517, 1.104543, 1.118507, 1.128594, 1.244402, 1.322039, 1.341674, 1.445008, 15.992368], [1.186747, 1.228965, 1.284681, 1.325629, 1.356236, 1.433007, 1.580640, 1.734260, 1.866706, 30.418412], [1.043015, 1.063961, 1.075486, 1.093085, 1.099879, 1.211904, 1.281739, 1.315064, 1.410408, 32.386930], [2.117451, 2.229802, 2.317618, 2.348384, 2.364342, 2.405850, 2.678991, 3.269001, 3.420431, 19.089949], [2.025317, 2.138231, 2.213942, 2.249673, 2.273804, 2.294096, 2.567155, 3.157969, 3.297260, 18.921217]]
### 12
fourier: [[2.578969, 2.765432, 2.856294, 2.900005, 2.916361, 3.003665, 3.355760, 4.042120, 4.219260, 18.353163]]
## 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: 6
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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]
],
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],
"network.12.bias": [
-0.013525
]
}
## Activation Signature
### 0
fourier: [[16.706017, 16.840942, 18.595333, 19.859657, 21.248084, 21.334125, 21.643987, 27.514286, 28.691398, 194.105075], [13.050298, 13.361241, 14.050656, 14.920858, 15.189350, 16.259135, 16.633551, 17.045342, 24.042966, 38.140112], [15.190259, 16.122223, 16.349258, 16.627681, 17.992385, 18.238806, 18.755885, 19.773899, 22.039470, 161.217840], [14.978777, 15.382554, 16.504385, 16.710197, 18.642805, 19.296468, 20.470756, 21.706681, 22.110845, 70.666541], [17.970141, 19.592458, 19.996196, 21.236622, 25.109893, 26.594043, 27.615389, 27.965076, 28.852177, 66.201818], [16.454777, 16.688440, 16.721019, 16.953559, 17.588799, 20.358992, 21.285624, 23.143171, 23.364110, 156.580776]]
### 2
fourier: [[5.215062, 6.032661, 6.722335, 7.271377, 7.329661, 7.669531, 7.782377, 7.918189, 9.032746, 25.982121], [6.460989, 6.497886, 6.646454, 7.277715, 7.317296, 7.332100, 8.439345, 9.489341, 10.593545, 87.301776], [7.337974, 7.342940, 7.588360, 7.876019, 8.261992, 8.376744, 8.666686, 9.366925, 11.220706, 13.186155], [4.534793, 4.839616, 5.064254, 5.422926, 5.525291, 5.822633, 6.096244, 6.791548, 7.435753, 38.603852], [4.130081, 4.179119, 4.190046, 4.505059, 4.896912, 5.057007, 5.718782, 7.047215, 7.134091, 73.503718], [6.724583, 6.746371, 6.916441, 6.953581, 6.983379, 7.491475, 7.651328, 8.018635, 8.359640, 9.024338]]
### 4
fourier: [[0.917084, 0.968163, 1.002455, 1.034115, 1.123605, 1.135138, 1.282376, 1.381354, 1.541969, 23.993708], [6.207772, 6.514496, 6.810809, 6.968121, 7.143333, 7.389718, 7.764511, 7.976733, 8.365334, 60.690762], [3.908940, 3.991886, 4.018951, 4.076023, 4.364381, 4.489959, 4.613149, 5.025950, 5.128671, 5.788034], [0.543311, 0.587560, 0.659019, 0.715187, 0.767530, 0.808753, 0.884035, 0.962575, 1.057341, 9.349332], [0.858487, 0.872579, 0.913577, 0.928872, 1.017193, 1.038829, 1.080511, 1.097247, 1.191968, 12.895230], [2.175944, 2.248621, 2.333694, 2.430815, 2.743991, 2.861427, 2.930403, 3.194040, 3.557994, 34.491476]]
### 6
fourier: [[1.263251, 1.373061, 1.418018, 1.572865, 1.602048, 1.734736, 1.766988, 1.885949, 1.903266, 38.114042], [1.582242, 1.651056, 1.664091, 1.693266, 1.723903, 1.757014, 1.865476, 2.279069, 2.480654, 2.845932], [4.048536, 4.105722, 4.165495, 4.210364, 4.383522, 4.400260, 4.658836, 5.823331, 6.278802, 26.921664], [2.227478, 2.240069, 2.289777, 2.306399, 2.602543, 2.648106, 2.766592, 2.874120, 3.260592, 14.425953], [3.209644, 3.352501, 3.555969, 3.578954, 3.663576, 3.805733, 3.869309, 4.204259, 4.247851, 34.561330], [0.794554, 0.795829, 0.799257, 0.821814, 0.832436, 0.862874, 0.878466, 1.182458, 1.258531, 39.737140]]
### 8
fourier: [[1.549363, 1.596078, 1.671230, 1.697127, 1.703003, 1.778979, 1.939638, 2.252153, 2.389912, 30.342771], [0.799923, 0.820454, 0.839236, 0.900386, 0.910576, 0.924270, 0.986614, 1.298601, 1.327888, 23.095412], [1.148908, 1.187411, 1.222785, 1.278180, 1.297740, 1.357249, 1.507693, 1.634986, 1.749862, 27.933554], [2.270652, 2.372222, 2.464417, 2.464597, 2.498422, 2.572488, 2.798318, 3.246005, 3.403699, 25.857404], [3.305762, 3.412979, 3.519748, 3.664814, 3.758971, 3.963051, 4.351492, 4.702091, 5.062515, 43.658273], [0.930026, 1.042757, 1.150029, 1.222020, 1.328015, 1.346172, 1.363652, 1.515933, 1.578146, 15.969848]]
### 10
fourier: [[1.528063, 1.575457, 1.624857, 1.629398, 1.643603, 1.773249, 1.960338, 2.213748, 2.327945, 72.514220], [1.072130, 1.098517, 1.104543, 1.118507, 1.128594, 1.244402, 1.322039, 1.341674, 1.445008, 15.992368], [1.186747, 1.228965, 1.284681, 1.325629, 1.356236, 1.433007, 1.580640, 1.734260, 1.866706, 30.418412], [1.043015, 1.063961, 1.075486, 1.093085, 1.099879, 1.211904, 1.281739, 1.315064, 1.410408, 32.386930], [2.117451, 2.229802, 2.317618, 2.348384, 2.364342, 2.405850, 2.678991, 3.269001, 3.420431, 19.089949], [2.025317, 2.138231, 2.213942, 2.249673, 2.273804, 2.294096, 2.567155, 3.157969, 3.297260, 18.921217]]
### 12
fourier: [[2.578969, 2.765432, 2.856294, 2.900005, 2.916361, 3.003665, 3.355760, 4.042120, 4.219260, 18.353163]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [16.706017249190836, 16.84094151564376, 18.595332743816783, 19.85965739444315, 21.248083973597023, 21.334124761056284, 21.6439868738152, 27.514286449694033, 28.691397615797374, 194.105074852705]}, "1": {"fourier": [13.050298430639337, 13.36124074034966, 14.050656073084815, 14.920857815686226, 15.189349929512382, 16.25913512359629, 16.633550787733157, 17.04534163488957, 24.042966266319777, 38.14011236280203]}, "2": {"fourier": [15.190259105993501, 16.122223106211933, 16.349258104406353, 16.627681288901876, 17.992385090902708, 18.2388064778154, 18.75588465361687, 19.77389869473174, 22.039470395492486, 161.2178402543068]}, "3": {"fourier": [14.97877690022535, 15.38255384811323, 16.504384728270587, 16.710197279839687, 18.642804912713085, 19.29646782282187, 20.470755682969482, 21.706681039328657, 22.11084451203146, 70.66654066741467]}, "4": {"fourier": [17.970141137706257, 19.592457801481657, 19.99619605702462, 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"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": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.408908, -0.158157, -0.029975, -0.443645, -0.067165], [-0.378262, -0.083443, 0.270703, -0.090377, 0.401833], [-0.21723, -0.128305, -0.386571, -0.155997, -0.010884], [0.486145, -0.126371, -0.081167, 0.462663, 0.024592], [-0.431494, 0.26818, -0.448241, 0.181316, -0.063657], [0.376438, 0.099649, 0.237845, 0.311123, -0.201932]], "network.0.bias": [-0.262839, 0.179303, -0.131724, -0.442455, -0.061273, 0.174778], "network.2.weight": [[0.301043, -0.301408, -0.204481, 0.062144, -0.418548, 0.225642], [0.201693, -0.307754, -0.181989, -0.214704, 0.081852, -0.227346], [-0.240177, 0.489117, 0.056702, -0.276351, 0.190479, -0.072716], [-0.061593, -0.091157, -0.196533, 0.197376, 0.032244, 0.137105], [-0.103417, -0.202573, 0.275811, -0.326601, -0.240568, 0.029135], [0.260149, -0.386642, 0.273006, -0.003207, -0.115226, 0.288369]], "network.2.bias": [0.121355, -0.178192, 0.179089, 0.051051, -0.365592, -0.249221], "network.4.weight": [[0.199753, 0.003833, -0.084701, 0.178622, -0.008508, -0.361408], [0.416521, -0.280018, -0.365262, 0.457633, -0.35429, 0.223578], [0.067703, 0.242838, 0.47524, -0.486523, -0.191929, -0.038688], [0.073183, 0.2756, -0.097408, -0.285654, 0.043385, 0.123178], [0.026475, -0.20435, 0.087584, -0.096193, -0.15072, -0.059226], [-0.002828, -0.197476, 0.562501, 0.14365, 0.099804, 0.058177]], "network.4.bias": [-0.31896, 0.395657, 0.010204, 4.1e-05, 0.160226, 0.137473], "network.6.weight": [[-0.374472, -0.105515, -0.323679, 0.350015, -0.391056, -0.331712], [-0.040567, -0.108174, 0.114887, -0.252289, 0.42831, 0.219384], [0.38738, -0.382415, 0.499026, -0.127019, -0.177126, 0.54666], [0.067393, -0.310263, 0.135075, -0.336185, -0.118794, 0.142815], [0.143479, 0.44214, -0.383184, -0.014228, -0.208933, 0.235498], [0.030141, -0.066163, 0.121139, 0.304361, -0.131577, 0.146274]], "network.6.bias": [-0.131807, -0.053604, 0.317298, -0.003054, 0.06768, -0.447705], "network.8.weight": [[0.328409, -0.024199, 0.260684, 0.069909, -0.196605, -0.157221], [0.24804, 0.221348, 0.209263, 0.081573, 0.104553, 0.000566], [0.307143, 0.189998, 0.097375, -0.11048, -0.217126, -0.391983], [-0.065143, -0.182863, -0.183318, -0.41409, 0.408251, -0.271344], [0.312607, -0.165296, -0.429083, 0.285804, 0.574176, -0.295691], [0.108828, 0.15699, 0.415607, 0.131236, 0.350501, -0.345209]], "network.8.bias": [0.331716, -0.378831, -0.267825, 0.208, 0.403418, -0.100523], "network.10.weight": [[0.378401, -0.252132, 0.276203, 0.303113, 0.407367, -0.197401], [-0.044189, 0.098283, -0.163353, 0.19824, 0.191025, 0.164681], [-0.197233, 0.21972, -0.145345, -0.175205, 0.382236, -0.047977], [-0.072822, -0.303263, -0.223507, -0.081118, -0.306712, -0.132902], [0.460671, -0.154161, 0.118471, -0.127932, -0.276629, 0.390302], [0.289102, 0.041919, -0.281454, -0.128809, -0.319007, 0.442984]], "network.10.bias": [0.425859, -0.343157, -0.398079, -0.138442, 0.15985, 0.22739], "network.12.weight": [[-0.479949, -0.014793, 0.04728, -0.083684, 0.421179, 0.506355]], "network.12.bias": [-0.013525]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6890856027603149, "train_acc": 0.585, "val_loss": 0.6936933994293213, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6807843148708344, "train_acc": 0.585, "val_loss": 0.6926437616348267, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6721400916576385, "train_acc": 0.585, "val_loss": 0.6867729425430298, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6561869978904724, "train_acc": 0.585, "val_loss": 0.6509193181991577, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6560702323913574, "train_acc": 0.575, "val_loss": 0.5888959765434265, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.61320760846138, "train_acc": 0.7, "val_loss": 0.5451149344444275, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5875166058540344, "train_acc": 0.745, "val_loss": 0.49696800112724304, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5333355218172073, "train_acc": 0.73, "val_loss": 0.4612368643283844, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5522624850273132, "train_acc": 0.735, "val_loss": 0.476358026266098, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5543239712715149, "train_acc": 0.74, "val_loss": 0.457358181476593, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.5184858739376068, "train_acc": 0.755, "val_loss": 0.42499062418937683, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.5112070143222809, "train_acc": 0.75, "val_loss": 0.4374698996543884, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.4774097800254822, "train_acc": 0.76, "val_loss": 0.45957115292549133, "val_acc": 0.76}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.48857125639915466, "train_acc": 0.755, "val_loss": 0.4383139908313751, "val_acc": 0.78}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6936933994293213, "final_val_loss": 0.6509193181991577, "initial_val_acc": 0.5, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5888959765434265, "final_val_loss": 0.4383139908313751, "initial_val_acc": 0.84, "final_val_acc": 0.78, "best_val_acc": 0.84, "best_epoch": 4}, "improvement": 0.31999999999999995, "first_improvement_epoch": 3}}
|
154
|
{"target_pattern": "sorted_ascending", "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": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7295, "learning_rate": 0.07046194004442516, "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: 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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## Activation Signature
### 0
fourier: [[20.218696, 22.817323, 24.068710, 25.535902, 25.568687, 26.407858, 26.912478, 28.072165, 31.743900, 228.201089], [12.789394, 13.321340, 13.504559, 13.595502, 14.490858, 14.946177, 16.187008, 17.192383, 19.440825, 25.412024], [28.362602, 28.888547, 30.155157, 30.941410, 31.985756, 31.993055, 34.052881, 34.325535, 39.979740, 203.286824], [28.829442, 30.319733, 30.747162, 31.451583, 31.578336, 33.052536, 34.096820, 34.312305, 36.230856, 188.879896], [28.018052, 28.103344, 29.217237, 29.339668, 30.893916, 31.294639, 32.190781, 33.839094, 35.588785, 40.864713], [17.564242, 18.112593, 18.875480, 19.452495, 19.646754, 20.160403, 21.933598, 24.378532, 25.342847, 188.750087], [9.795927, 10.102888, 10.143756, 12.083904, 12.102980, 12.920417, 13.994808, 14.422628, 14.986817, 20.805638], [36.218036, 38.994884, 39.010531, 39.935714, 40.468872, 42.159251, 45.620514, 45.683194, 47.030005, 235.201504]]
### 2
fourier: [[16.548840, 16.772152, 17.630128, 18.701543, 19.412498, 19.574180, 19.628604, 20.291198, 23.654468, 141.029168], [61.010720, 61.429619, 65.231754, 67.648730, 68.750243, 69.338550, 70.525380, 75.794849, 78.338316, 427.578626], [17.101166, 17.888094, 18.013174, 18.222103, 18.579955, 18.708119, 19.008046, 20.751835, 22.600543, 49.509795], [4.729408, 4.735561, 5.032228, 5.640457, 5.942985, 6.091290, 6.272483, 6.277728, 6.771598, 17.122955], [55.383223, 56.688236, 59.565492, 60.627453, 61.814829, 62.560450, 63.682091, 69.984763, 74.392545, 398.096355], [5.063248, 5.067901, 5.161429, 6.473682, 7.309268, 7.891245, 8.010219, 8.418517, 8.557909, 69.716327], [4.588453, 4.676742, 5.397033, 5.835218, 6.512018, 6.515167, 6.736591, 6.905036, 7.665145, 8.749938], [13.345856, 13.640894, 14.658816, 14.679079, 15.873535, 16.038555, 16.643164, 17.257252, 18.535126, 137.122608]]
### 4
fourier: [[29.960597, 32.783842, 33.875022, 34.055211, 34.216311, 36.606684, 37.195989, 40.238488, 40.839782, 265.393124], [66.203156, 71.451884, 76.005795, 76.435419, 77.749928, 80.409078, 82.288883, 89.272481, 89.458955, 521.671707], [4.668260, 4.852856, 4.861961, 5.028580, 5.040717, 5.096698, 5.178907, 5.230586, 5.965249, 60.814582], [73.133396, 77.652554, 81.738541, 84.678100, 84.685572, 89.354142, 90.613712, 97.477522, 98.882819, 566.541228], [6.510677, 6.812424, 7.033781, 7.316705, 7.333693, 7.710318, 8.217770, 8.552741, 9.183456, 62.450907], [47.263312, 48.910222, 52.065017, 54.045271, 54.562488, 57.217505, 57.455353, 62.777841, 63.482113, 332.611780], [45.014079, 48.000170, 51.446749, 51.695604, 53.253418, 54.618674, 55.312084, 60.535657, 61.660202, 382.016167], [76.879152, 79.487172, 85.734850, 87.360121, 89.261451, 91.659122, 93.061382, 101.310019, 101.549819, 577.470603]]
### 6
fourier: [[88.205617, 95.078261, 100.797947, 102.152943, 105.102825, 109.347113, 112.457053, 118.559262, 120.436769, 678.445716], [3.018405, 3.310291, 3.382908, 3.438322, 3.625265, 3.862525, 3.926321, 3.938081, 4.336206, 57.832938], [14.947404, 16.647744, 17.297827, 17.529229, 17.666227, 18.783718, 19.100303, 20.410737, 20.742229, 125.766509], [114.879159, 124.164457, 131.992559, 132.956445, 136.953837, 141.874551, 145.924455, 154.480371, 156.892580, 909.958423], [117.598590, 126.774588, 134.812584, 136.046506, 139.649758, 144.750024, 148.603968, 158.140926, 159.965808, 919.455784], [140.128110, 151.192762, 160.840011, 162.260117, 166.760327, 172.874053, 177.477926, 188.510955, 190.811737, 1074.231167], [55.824286, 60.425963, 63.840164, 64.838981, 66.497485, 69.461511, 71.421224, 75.326917, 76.398063, 450.617598], [24.039513, 26.506950, 27.846209, 28.164936, 28.326157, 29.750751, 30.428827, 32.889487, 33.007610, 208.720641]]
### 8
fourier: [[173.620706, 187.830799, 199.202683, 201.006966, 207.121129, 214.850086, 221.423208, 233.203101, 237.292615, 1348.845853], [115.826468, 125.267326, 132.899344, 134.094193, 138.119187, 143.260037, 147.572753, 155.611247, 158.234342, 916.537320], [84.617870, 91.584094, 97.233492, 97.931502, 100.903222, 104.530863, 107.704599, 113.658579, 115.597831, 675.146637], [4.821155, 5.167444, 5.560387, 5.573546, 5.617630, 5.688955, 5.711109, 6.367583, 6.531558, 68.048629], [236.164219, 255.358676, 270.988287, 273.405549, 281.440140, 291.885744, 300.558083, 317.320815, 322.414326, 1818.048062], [61.146538, 66.017255, 70.173705, 70.786372, 72.854610, 75.539855, 77.626557, 82.267149, 83.458016, 498.713932], [62.003711, 66.908542, 71.180683, 71.773210, 73.855406, 76.551712, 78.598995, 83.462158, 84.601940, 482.823621], [50.020418, 54.221142, 57.348193, 57.920626, 59.713926, 61.993293, 64.079662, 67.062664, 68.418118, 374.844619]]
### 10
fourier: [[19.266947, 20.782396, 22.115698, 22.275953, 22.925819, 23.761022, 24.306186, 25.932877, 26.200030, 144.705953], [33.841352, 36.650046, 38.834349, 39.193892, 40.393913, 41.903396, 43.272887, 45.430029, 46.308394, 261.805391], [90.361483, 97.906656, 103.733340, 104.602789, 107.798932, 111.798971, 115.401382, 121.279636, 123.575094, 705.449836], [22.676735, 24.556999, 26.019338, 26.241570, 27.049842, 28.061811, 28.945885, 30.433755, 31.004940, 197.979842], [192.873085, 208.827047, 221.370574, 223.259654, 230.059246, 238.605742, 246.053649, 258.963129, 263.637370, 1463.328018], [166.451974, 180.147048, 191.036570, 192.690094, 198.535355, 205.906117, 212.228230, 223.552454, 227.464971, 1259.350456], [27.270903, 29.534141, 31.316309, 31.568690, 32.520251, 33.716202, 34.761143, 36.622701, 37.261319, 224.769927], [39.635402, 42.947474, 45.500289, 45.880529, 47.283940, 49.039215, 50.622370, 53.193899, 54.205703, 268.664695]]
### 12
fourier: [[137.764357, 149.750789, 158.230549, 159.459155, 164.507679, 170.615812, 176.849287, 184.575699, 188.847925, 1013.596308]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[20.218696, 22.817323, 24.068710, 25.535902, 25.568687, 26.407858, 26.912478, 28.072165, 31.743900, 228.201089], [12.789394, 13.321340, 13.504559, 13.595502, 14.490858, 14.946177, 16.187008, 17.192383, 19.440825, 25.412024], [28.362602, 28.888547, 30.155157, 30.941410, 31.985756, 31.993055, 34.052881, 34.325535, 39.979740, 203.286824], [28.829442, 30.319733, 30.747162, 31.451583, 31.578336, 33.052536, 34.096820, 34.312305, 36.230856, 188.879896], [28.018052, 28.103344, 29.217237, 29.339668, 30.893916, 31.294639, 32.190781, 33.839094, 35.588785, 40.864713], [17.564242, 18.112593, 18.875480, 19.452495, 19.646754, 20.160403, 21.933598, 24.378532, 25.342847, 188.750087], [9.795927, 10.102888, 10.143756, 12.083904, 12.102980, 12.920417, 13.994808, 14.422628, 14.986817, 20.805638], [36.218036, 38.994884, 39.010531, 39.935714, 40.468872, 42.159251, 45.620514, 45.683194, 47.030005, 235.201504]]
### 2
fourier: [[16.548840, 16.772152, 17.630128, 18.701543, 19.412498, 19.574180, 19.628604, 20.291198, 23.654468, 141.029168], [61.010720, 61.429619, 65.231754, 67.648730, 68.750243, 69.338550, 70.525380, 75.794849, 78.338316, 427.578626], [17.101166, 17.888094, 18.013174, 18.222103, 18.579955, 18.708119, 19.008046, 20.751835, 22.600543, 49.509795], [4.729408, 4.735561, 5.032228, 5.640457, 5.942985, 6.091290, 6.272483, 6.277728, 6.771598, 17.122955], [55.383223, 56.688236, 59.565492, 60.627453, 61.814829, 62.560450, 63.682091, 69.984763, 74.392545, 398.096355], [5.063248, 5.067901, 5.161429, 6.473682, 7.309268, 7.891245, 8.010219, 8.418517, 8.557909, 69.716327], [4.588453, 4.676742, 5.397033, 5.835218, 6.512018, 6.515167, 6.736591, 6.905036, 7.665145, 8.749938], [13.345856, 13.640894, 14.658816, 14.679079, 15.873535, 16.038555, 16.643164, 17.257252, 18.535126, 137.122608]]
### 4
fourier: [[29.960597, 32.783842, 33.875022, 34.055211, 34.216311, 36.606684, 37.195989, 40.238488, 40.839782, 265.393124], [66.203156, 71.451884, 76.005795, 76.435419, 77.749928, 80.409078, 82.288883, 89.272481, 89.458955, 521.671707], [4.668260, 4.852856, 4.861961, 5.028580, 5.040717, 5.096698, 5.178907, 5.230586, 5.965249, 60.814582], [73.133396, 77.652554, 81.738541, 84.678100, 84.685572, 89.354142, 90.613712, 97.477522, 98.882819, 566.541228], [6.510677, 6.812424, 7.033781, 7.316705, 7.333693, 7.710318, 8.217770, 8.552741, 9.183456, 62.450907], [47.263312, 48.910222, 52.065017, 54.045271, 54.562488, 57.217505, 57.455353, 62.777841, 63.482113, 332.611780], [45.014079, 48.000170, 51.446749, 51.695604, 53.253418, 54.618674, 55.312084, 60.535657, 61.660202, 382.016167], [76.879152, 79.487172, 85.734850, 87.360121, 89.261451, 91.659122, 93.061382, 101.310019, 101.549819, 577.470603]]
### 6
fourier: [[88.205617, 95.078261, 100.797947, 102.152943, 105.102825, 109.347113, 112.457053, 118.559262, 120.436769, 678.445716], [3.018405, 3.310291, 3.382908, 3.438322, 3.625265, 3.862525, 3.926321, 3.938081, 4.336206, 57.832938], [14.947404, 16.647744, 17.297827, 17.529229, 17.666227, 18.783718, 19.100303, 20.410737, 20.742229, 125.766509], [114.879159, 124.164457, 131.992559, 132.956445, 136.953837, 141.874551, 145.924455, 154.480371, 156.892580, 909.958423], [117.598590, 126.774588, 134.812584, 136.046506, 139.649758, 144.750024, 148.603968, 158.140926, 159.965808, 919.455784], [140.128110, 151.192762, 160.840011, 162.260117, 166.760327, 172.874053, 177.477926, 188.510955, 190.811737, 1074.231167], [55.824286, 60.425963, 63.840164, 64.838981, 66.497485, 69.461511, 71.421224, 75.326917, 76.398063, 450.617598], [24.039513, 26.506950, 27.846209, 28.164936, 28.326157, 29.750751, 30.428827, 32.889487, 33.007610, 208.720641]]
### 8
fourier: [[173.620706, 187.830799, 199.202683, 201.006966, 207.121129, 214.850086, 221.423208, 233.203101, 237.292615, 1348.845853], [115.826468, 125.267326, 132.899344, 134.094193, 138.119187, 143.260037, 147.572753, 155.611247, 158.234342, 916.537320], [84.617870, 91.584094, 97.233492, 97.931502, 100.903222, 104.530863, 107.704599, 113.658579, 115.597831, 675.146637], [4.821155, 5.167444, 5.560387, 5.573546, 5.617630, 5.688955, 5.711109, 6.367583, 6.531558, 68.048629], [236.164219, 255.358676, 270.988287, 273.405549, 281.440140, 291.885744, 300.558083, 317.320815, 322.414326, 1818.048062], [61.146538, 66.017255, 70.173705, 70.786372, 72.854610, 75.539855, 77.626557, 82.267149, 83.458016, 498.713932], [62.003711, 66.908542, 71.180683, 71.773210, 73.855406, 76.551712, 78.598995, 83.462158, 84.601940, 482.823621], [50.020418, 54.221142, 57.348193, 57.920626, 59.713926, 61.993293, 64.079662, 67.062664, 68.418118, 374.844619]]
### 10
fourier: [[19.266947, 20.782396, 22.115698, 22.275953, 22.925819, 23.761022, 24.306186, 25.932877, 26.200030, 144.705953], [33.841352, 36.650046, 38.834349, 39.193892, 40.393913, 41.903396, 43.272887, 45.430029, 46.308394, 261.805391], [90.361483, 97.906656, 103.733340, 104.602789, 107.798932, 111.798971, 115.401382, 121.279636, 123.575094, 705.449836], [22.676735, 24.556999, 26.019338, 26.241570, 27.049842, 28.061811, 28.945885, 30.433755, 31.004940, 197.979842], [192.873085, 208.827047, 221.370574, 223.259654, 230.059246, 238.605742, 246.053649, 258.963129, 263.637370, 1463.328018], [166.451974, 180.147048, 191.036570, 192.690094, 198.535355, 205.906117, 212.228230, 223.552454, 227.464971, 1259.350456], [27.270903, 29.534141, 31.316309, 31.568690, 32.520251, 33.716202, 34.761143, 36.622701, 37.261319, 224.769927], [39.635402, 42.947474, 45.500289, 45.880529, 47.283940, 49.039215, 50.622370, 53.193899, 54.205703, 268.664695]]
### 12
fourier: [[137.764357, 149.750789, 158.230549, 159.459155, 164.507679, 170.615812, 176.849287, 184.575699, 188.847925, 1013.596308]]
## 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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"profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [137.76435711762187, 149.7507890645649, 158.2305487083683, 159.4591547745973, 164.50767851382614, 170.61581171401662, 176.84928738828782, 184.5756992954533, 188.84792485573786, 1013.5963078737259]}}, "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": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
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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": [[-0.449728, -0.169546, -0.409982, -0.105011, -0.099766], [-0.233489, 0.417045, 0.240081, -0.369669, 0.021385], [0.177593, 0.793752, 0.490912, -0.291821, -0.122637], [0.640052, 0.529933, 0.252481, -0.097401, -0.059968], [-0.742904, -0.520431, 0.263137, 0.188698, 0.594567], [-0.228216, -0.406918, -0.296345, 0.018343, -0.073063], [0.016278, -0.127405, 0.348818, -0.09562, -0.29373], [0.772707, 0.723631, 0.377015, -0.095423, -0.247287]], "network.0.bias": [-0.462315, 0.077828, 0.342932, 0.091928, -0.190762, -0.40192, 0.281753, 0.055216], "network.2.weight": [[-0.131336, -0.113775, -0.4897, -0.104637, -0.16775, 0.31616, 0.02663, -0.023038], [0.132926, 0.390219, 0.420528, 0.482384, -0.509615, 0.089653, 0.259755, 0.885047], [-0.111409, -0.545342, 0.175058, -0.22464, 0.324323, -0.233865, -0.128126, -0.301207], [0.289791, 0.205186, -0.126323, 0.156302, 0.020707, -0.173835, 0.59644, -0.018783], [-0.082865, 0.122446, 0.334158, 0.792319, -0.506425, 0.072948, 0.470559, 0.579211], [-0.049945, 0.005972, -0.225907, 0.405012, -0.434863, 0.099619, 0.014909, -0.20728], [-0.319663, -0.33636, -0.074289, -0.015975, -0.10274, 0.075951, -0.052647, 0.20218], [-0.220864, -0.055942, -0.140477, -0.033889, -0.285457, -0.000391, 0.316256, -0.288459]], "network.2.bias": [-0.005892, 0.37313, 0.481735, -0.183561, 0.449849, -0.317652, -0.033518, -0.305533], "network.4.weight": [[0.233288, -0.263625, -0.007586, -0.133873, -0.253944, 0.193314, -0.484956, -0.217989], [0.484168, 0.459617, -0.142038, -0.028441, 0.776367, -0.048148, -0.052459, 0.060198], [-0.04034, -0.34555, -0.09751, 0.202535, 0.274167, -0.102274, 0.175718, 0.195151], [-0.133685, 0.741122, -0.49871, -0.282145, 0.563196, 0.30036, 0.285247, 0.306872], [0.048126, -0.250824, 0.229113, -0.315172, 0.16764, 0.1224, 0.329315, -0.320567], [-0.004926, 0.521895, -0.445407, 0.013362, 0.282882, 0.252394, 0.311048, 0.315924], [0.090465, -0.389557, 0.124861, -0.347847, -0.407033, -0.178149, -0.229484, -0.18132], [0.054416, 0.749175, -0.475118, -0.021282, 0.619658, 0.056356, -0.162484, -0.006725]], "network.4.bias": [-0.416811, 0.146053, -0.296856, 0.320071, -0.276817, -0.049421, -0.446624, 0.166832], "network.6.weight": [[-0.200972, -0.196341, 0.046886, 0.598395, -0.248597, 0.521602, -0.174489, 0.466703], [-0.268653, 0.024799, 0.309324, -0.298358, -0.330518, 0.133155, 0.168981, 0.143858], [0.188422, -0.15358, 0.028367, -0.352716, -0.321627, 0.088838, 0.309946, 0.218402], [-0.306355, 0.282719, 0.125348, 0.449065, 0.336796, 0.528342, -0.122562, 0.543509], [0.065259, 0.365199, -0.120227, 0.542295, -0.253916, 0.29176, -0.034833, 0.557057], [0.06902, 0.230075, -0.27322, 0.786299, 0.225392, 0.267677, -0.080311, 0.762061], [-0.336201, 0.097604, 0.287712, -0.462698, 0.154328, -0.375927, 0.350664, -0.164361], [0.240491, -0.403816, 0.155349, -0.17489, 0.008347, -0.028077, -0.309234, 0.217591]], "network.6.bias": [-0.069229, -0.325224, -0.016531, 0.143909, -0.016041, -0.290162, -0.180128, -0.169497], "network.8.weight": [[0.641165, -0.078859, -0.213511, 0.467616, -0.008995, 0.462374, 0.114083, 0.271385], [-0.386865, -0.044712, -0.059246, -0.272054, -0.127043, -0.255141, 0.147226, -0.332999], [0.066596, -0.064137, -0.131254, -0.462343, 0.093471, -0.346205, -0.434989, -0.081277], [0.296849, -0.283897, -0.124326, 0.134091, -0.333417, -0.051439, -0.164836, 0.202744], [0.63972, -0.28581, 0.073735, 0.192602, 0.678289, 0.559442, -0.079543, -0.127021], [-0.181372, 0.304465, 0.049775, -0.34419, -0.212582, 0.138314, -0.247315, -0.091155], [-0.133432, 0.082255, -0.331025, -0.466222, -0.241055, 0.226325, -0.040174, 0.018775], [-0.25659, 0.060078, 0.123247, 0.199665, 0.068231, -0.418261, 0.157187, 0.168341]], "network.8.bias": [-0.014277, -0.165691, -0.145678, -0.329637, -0.192912, -0.174123, 0.113299, 0.055514], "network.10.weight": [[-0.262213, 0.079094, -0.232059, 0.307658, 0.274262, -0.034205, -0.062287, -0.630147], [-0.277198, 0.129606, 0.005523, -0.070347, 0.06038, 0.33345, 0.076005, -0.284773], [-0.04229, -0.021812, 0.312421, -0.23057, -0.352242, -0.033427, -0.154505, -0.27241], [-0.051295, 0.095498, -0.33635, -0.017479, -0.058428, -0.088089, -0.269313, 0.012725], [0.27598, -0.279543, -0.177996, 0.211369, 0.614704, 0.002029, 0.281736, 0.012837], [0.358112, 0.142668, 0.332032, 0.264342, 0.442012, 0.227276, -0.205601, -0.142166], [0.091038, -0.159074, -0.318861, -0.205886, -0.182602, -0.051883, 0.160172, 0.033655], [0.013231, 0.306625, -0.215226, -0.276608, 0.158426, 0.145884, 0.107669, 0.118071]], "network.10.bias": [-0.00078, 0.027061, -0.082858, -0.249679, -0.301696, -0.306611, -0.171719, -0.416241], "network.12.weight": [[-0.066399, -0.052385, 0.062205, 0.263316, -0.524928, -0.184932, -0.151688, -0.124749]], "network.12.bias": [0.360286]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7085340619087219, "train_acc": 0.45, "val_loss": 0.6911552548408508, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6775998473167419, "train_acc": 0.635, "val_loss": 0.6477239727973938, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6259764432907104, "train_acc": 0.485, "val_loss": 0.5075815320014954, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.47124573588371277, "train_acc": 0.6, "val_loss": 0.5056375861167908, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.40987852215766907, "train_acc": 0.88, "val_loss": 0.43537193536758423, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4125092327594757, "train_acc": 0.865, "val_loss": 0.4741166830062866, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4087535887956619, "train_acc": 0.83, "val_loss": 0.4512939453125, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.38951554894447327, "train_acc": 0.85, "val_loss": 0.42061537504196167, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3392252177000046, "train_acc": 0.89, "val_loss": 0.6960393786430359, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.32370030879974365, "train_acc": 0.91, "val_loss": 0.354017972946167, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.30354706943035126, "train_acc": 0.9, "val_loss": 0.3746119737625122, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3202098160982132, "train_acc": 0.87, "val_loss": 0.3586547076702118, "val_acc": 0.86}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6911552548408508, "final_val_loss": 0.6477239727973938, "initial_val_acc": 0.58, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5075815320014954, "final_val_loss": 0.3586547076702118, "initial_val_acc": 0.56, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 4}, "improvement": 0.29999999999999993, "first_improvement_epoch": 1}}
|
155
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.72, "improved_accuracy": 0.88, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4603, "learning_rate": 0.09915840449167199, "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: 5
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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[
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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: [[47.136929, 47.217903, 51.674619, 55.914282, 60.905743, 61.176596, 65.040490, 66.191754, 74.623791, 342.822177], [35.529006, 36.544383, 37.713428, 39.470848, 40.305965, 41.733180, 46.184075, 46.840511, 47.648121, 436.959114], [30.964569, 31.122671, 31.341737, 33.777041, 34.448696, 34.963371, 38.399509, 45.302881, 45.687495, 348.295651], [46.105328, 47.446045, 48.356941, 51.502496, 51.890825, 57.023049, 61.764937, 63.872241, 68.830397, 300.199011], [61.838619, 62.120060, 70.596467, 71.188694, 79.416733, 80.275869, 82.522055, 83.546031, 95.056108, 410.778008], [17.345915, 18.045384, 18.170120, 19.757904, 23.540486, 24.706498, 25.876954, 26.016979, 29.611241, 182.519723], [26.034545, 29.533169, 36.257423, 37.547379, 38.269405, 40.881140, 49.636488, 51.127843, 54.437987, 170.324732], [52.974543, 53.885271, 59.171416, 60.841178, 63.220350, 65.418265, 66.709651, 67.476996, 73.143112, 247.340852]]
### 2
fourier: [[40.018570, 44.873774, 45.256280, 46.215320, 46.333695, 49.159420, 51.112356, 51.717014, 54.590127, 339.208298], [24.227608, 28.597196, 33.586989, 33.793740, 36.904251, 38.427206, 43.507930, 43.534582, 44.084154, 183.758088], [17.008185, 17.525106, 17.533586, 17.905135, 19.369652, 20.504572, 20.560653, 21.398787, 24.040941, 156.295216], [59.015480, 61.970125, 62.616673, 66.435814, 67.288422, 71.081873, 72.552776, 73.485645, 83.405076, 332.762586], [52.657755, 53.527636, 53.722332, 54.696330, 57.841327, 58.733336, 61.338072, 64.062641, 74.295800, 181.322658], [67.703493, 68.116027, 70.145668, 72.845751, 78.288067, 83.369665, 84.351057, 85.499746, 91.399176, 409.921422], [36.663323, 38.458456, 41.107432, 42.231740, 45.105824, 45.206815, 46.152578, 46.243863, 60.485335, 187.728803], [55.223463, 55.304546, 56.780213, 57.720076, 60.634799, 64.848235, 64.884398, 69.647010, 76.529120, 322.109943]]
### 4
fourier: [[75.323178, 85.217547, 88.740543, 90.063905, 93.026099, 94.925055, 98.776748, 99.445281, 99.504520, 530.241607], [39.893327, 45.910220, 47.045434, 48.441475, 48.570704, 50.244331, 50.685806, 54.394231, 55.225386, 290.527608], [23.690699, 24.218363, 24.236327, 24.798927, 25.448085, 25.545335, 25.710105, 32.037451, 32.293829, 111.540285], [34.185809, 34.866387, 41.605291, 42.718370, 42.909578, 42.947045, 43.339619, 43.996139, 44.040889, 197.953920], [31.337822, 31.787703, 38.540929, 39.089025, 39.787991, 39.881886, 39.997667, 40.836310, 40.872568, 201.326277], [34.302735, 35.175271, 35.374168, 35.647236, 36.026910, 36.455953, 37.817772, 46.260386, 47.890466, 161.181009], [136.770594, 140.745651, 140.913613, 153.554301, 160.599930, 161.477009, 165.172630, 166.199226, 178.610227, 792.728949], [87.493840, 98.057659, 102.893573, 105.418921, 109.291273, 109.552661, 114.767793, 114.934500, 115.943527, 549.891622]]
### 6
fourier: [[102.560307, 111.210284, 113.576669, 119.997241, 121.010368, 126.029165, 127.958896, 130.174999, 134.739609, 666.668885], [62.251537, 63.858265, 66.154917, 67.977897, 71.107699, 75.294274, 77.584693, 84.025477, 91.271698, 427.461678], [34.889112, 36.994000, 37.570723, 38.769683, 39.118407, 40.596296, 41.561372, 48.220818, 51.697507, 147.581625], [33.603874, 35.563776, 39.614415, 40.695679, 41.994256, 44.082051, 45.040921, 45.530932, 46.817062, 298.028863], [31.494958, 35.124949, 36.213004, 36.789221, 38.101174, 39.187043, 40.315460, 40.746082, 41.517656, 211.025605], [122.981176, 125.325770, 131.239195, 138.897297, 145.586206, 152.671265, 153.182198, 154.189267, 170.358252, 728.409417], [95.475954, 97.406697, 97.770132, 106.924909, 111.911271, 112.656632, 114.257687, 116.372995, 124.675708, 556.551413], [25.244444, 25.751377, 27.497427, 28.356090, 28.985614, 31.138405, 31.929124, 34.208663, 37.264672, 44.124999]]
### 8
fourier: [[29.839731, 33.728050, 34.036727, 36.339982, 37.466031, 37.658731, 37.934744, 38.512055, 39.071812, 185.136773], [124.726429, 124.833311, 135.320723, 142.328245, 148.073553, 155.502749, 159.387693, 160.366929, 176.042639, 850.618169], [44.501360, 46.381153, 52.915751, 53.602576, 56.202130, 58.293728, 58.578726, 58.920736, 59.059862, 347.476869], [76.694607, 88.173105, 90.280911, 91.911376, 94.529191, 95.622892, 98.978637, 102.830948, 103.514603, 523.159722], [129.920156, 132.884214, 133.561340, 146.916424, 153.902801, 154.201092, 156.433061, 160.484817, 170.152676, 750.449583], [50.646272, 51.414575, 55.538233, 58.209866, 60.148879, 64.514915, 64.653859, 65.995456, 72.259492, 301.596896], [20.279688, 21.846204, 23.408173, 24.901919, 26.475147, 26.954094, 27.722354, 29.094595, 33.913200, 146.894605], [87.509526, 87.928838, 98.259636, 98.745294, 103.114511, 109.447917, 111.994489, 116.552055, 127.478298, 578.009801]]
### 10
fourier: [[112.748649, 114.062108, 114.972859, 127.907207, 133.346459, 134.190171, 135.458001, 142.242848, 147.744670, 765.996613]]
## 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: 5
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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0.496985,
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-0.451105,
0.047089
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],
"network.8.bias": [
-0.000248,
0.318362,
-0.997698,
-0.436358,
0.070762,
0.006694,
-0.670819,
0.039411
],
"network.10.weight": [
[
-0.109709,
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0.373435,
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-0.171477,
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]
],
"network.10.bias": [
-0.063478
]
}
## Activation Signature
### 0
fourier: [[47.136929, 47.217903, 51.674619, 55.914282, 60.905743, 61.176596, 65.040490, 66.191754, 74.623791, 342.822177], [35.529006, 36.544383, 37.713428, 39.470848, 40.305965, 41.733180, 46.184075, 46.840511, 47.648121, 436.959114], [30.964569, 31.122671, 31.341737, 33.777041, 34.448696, 34.963371, 38.399509, 45.302881, 45.687495, 348.295651], [46.105328, 47.446045, 48.356941, 51.502496, 51.890825, 57.023049, 61.764937, 63.872241, 68.830397, 300.199011], [61.838619, 62.120060, 70.596467, 71.188694, 79.416733, 80.275869, 82.522055, 83.546031, 95.056108, 410.778008], [17.345915, 18.045384, 18.170120, 19.757904, 23.540486, 24.706498, 25.876954, 26.016979, 29.611241, 182.519723], [26.034545, 29.533169, 36.257423, 37.547379, 38.269405, 40.881140, 49.636488, 51.127843, 54.437987, 170.324732], [52.974543, 53.885271, 59.171416, 60.841178, 63.220350, 65.418265, 66.709651, 67.476996, 73.143112, 247.340852]]
### 2
fourier: [[40.018570, 44.873774, 45.256280, 46.215320, 46.333695, 49.159420, 51.112356, 51.717014, 54.590127, 339.208298], [24.227608, 28.597196, 33.586989, 33.793740, 36.904251, 38.427206, 43.507930, 43.534582, 44.084154, 183.758088], [17.008185, 17.525106, 17.533586, 17.905135, 19.369652, 20.504572, 20.560653, 21.398787, 24.040941, 156.295216], [59.015480, 61.970125, 62.616673, 66.435814, 67.288422, 71.081873, 72.552776, 73.485645, 83.405076, 332.762586], [52.657755, 53.527636, 53.722332, 54.696330, 57.841327, 58.733336, 61.338072, 64.062641, 74.295800, 181.322658], [67.703493, 68.116027, 70.145668, 72.845751, 78.288067, 83.369665, 84.351057, 85.499746, 91.399176, 409.921422], [36.663323, 38.458456, 41.107432, 42.231740, 45.105824, 45.206815, 46.152578, 46.243863, 60.485335, 187.728803], [55.223463, 55.304546, 56.780213, 57.720076, 60.634799, 64.848235, 64.884398, 69.647010, 76.529120, 322.109943]]
### 4
fourier: [[75.323178, 85.217547, 88.740543, 90.063905, 93.026099, 94.925055, 98.776748, 99.445281, 99.504520, 530.241607], [39.893327, 45.910220, 47.045434, 48.441475, 48.570704, 50.244331, 50.685806, 54.394231, 55.225386, 290.527608], [23.690699, 24.218363, 24.236327, 24.798927, 25.448085, 25.545335, 25.710105, 32.037451, 32.293829, 111.540285], [34.185809, 34.866387, 41.605291, 42.718370, 42.909578, 42.947045, 43.339619, 43.996139, 44.040889, 197.953920], [31.337822, 31.787703, 38.540929, 39.089025, 39.787991, 39.881886, 39.997667, 40.836310, 40.872568, 201.326277], [34.302735, 35.175271, 35.374168, 35.647236, 36.026910, 36.455953, 37.817772, 46.260386, 47.890466, 161.181009], [136.770594, 140.745651, 140.913613, 153.554301, 160.599930, 161.477009, 165.172630, 166.199226, 178.610227, 792.728949], [87.493840, 98.057659, 102.893573, 105.418921, 109.291273, 109.552661, 114.767793, 114.934500, 115.943527, 549.891622]]
### 6
fourier: [[102.560307, 111.210284, 113.576669, 119.997241, 121.010368, 126.029165, 127.958896, 130.174999, 134.739609, 666.668885], [62.251537, 63.858265, 66.154917, 67.977897, 71.107699, 75.294274, 77.584693, 84.025477, 91.271698, 427.461678], [34.889112, 36.994000, 37.570723, 38.769683, 39.118407, 40.596296, 41.561372, 48.220818, 51.697507, 147.581625], [33.603874, 35.563776, 39.614415, 40.695679, 41.994256, 44.082051, 45.040921, 45.530932, 46.817062, 298.028863], [31.494958, 35.124949, 36.213004, 36.789221, 38.101174, 39.187043, 40.315460, 40.746082, 41.517656, 211.025605], [122.981176, 125.325770, 131.239195, 138.897297, 145.586206, 152.671265, 153.182198, 154.189267, 170.358252, 728.409417], [95.475954, 97.406697, 97.770132, 106.924909, 111.911271, 112.656632, 114.257687, 116.372995, 124.675708, 556.551413], [25.244444, 25.751377, 27.497427, 28.356090, 28.985614, 31.138405, 31.929124, 34.208663, 37.264672, 44.124999]]
### 8
fourier: [[29.839731, 33.728050, 34.036727, 36.339982, 37.466031, 37.658731, 37.934744, 38.512055, 39.071812, 185.136773], [124.726429, 124.833311, 135.320723, 142.328245, 148.073553, 155.502749, 159.387693, 160.366929, 176.042639, 850.618169], [44.501360, 46.381153, 52.915751, 53.602576, 56.202130, 58.293728, 58.578726, 58.920736, 59.059862, 347.476869], [76.694607, 88.173105, 90.280911, 91.911376, 94.529191, 95.622892, 98.978637, 102.830948, 103.514603, 523.159722], [129.920156, 132.884214, 133.561340, 146.916424, 153.902801, 154.201092, 156.433061, 160.484817, 170.152676, 750.449583], [50.646272, 51.414575, 55.538233, 58.209866, 60.148879, 64.514915, 64.653859, 65.995456, 72.259492, 301.596896], [20.279688, 21.846204, 23.408173, 24.901919, 26.475147, 26.954094, 27.722354, 29.094595, 33.913200, 146.894605], [87.509526, 87.928838, 98.259636, 98.745294, 103.114511, 109.447917, 111.994489, 116.552055, 127.478298, 578.009801]]
### 10
fourier: [[112.748649, 114.062108, 114.972859, 127.907207, 133.346459, 134.190171, 135.458001, 142.242848, 147.744670, 765.996613]]
## 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": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.8097, -1.376017, -0.278698, -0.171199, 0.554927], [0.147593, -0.467712, -0.912749, -0.487547, -0.487574], [-0.628039, -0.560957, -0.317375, -0.327212, 0.042735], [-0.621777, -1.420513, -0.371614, -0.002275, 0.406125], [-1.197934, -1.708815, -0.293304, -0.168426, 0.726163], [-0.197697, -0.240529, -0.104307, -0.354125, -0.391604], [0.28464, 1.056787, -0.368809, 0.406724, -0.180191], [1.547243, 0.798741, 0.120688, -0.361854, 0.045469]], "network.0.bias": [-0.029214, -0.633007, -0.754261, 0.306966, 0.11866, 0.116586, -0.266984, -0.164915], "network.2.weight": [[-0.045424, -0.33055, -0.140986, -0.226991, -0.590905, 0.010294, -0.359914, -0.666376], [-0.11073, 0.499951, -0.054168, -0.935274, -0.7038, 0.099274, 0.260476, -0.654634], [-0.646357, 0.012098, -0.160079, -0.298052, -0.325262, -0.223439, -0.290702, -0.193589], [-0.664857, 0.350728, 0.236366, -0.647401, -0.519489, 0.120516, 0.264542, 1.004433], [-0.359392, 0.335984, -0.087487, -0.874158, -0.531167, 0.022304, -0.073299, 0.952558], [-0.316366, -0.446137, 0.326612, -0.348667, -0.508168, -0.055683, 0.843646, 0.942336], [0.788051, -0.34187, 0.312108, 0.811502, 0.834406, 0.2058, -0.769174, -0.263252], [0.360607, -0.695307, 0.034196, 0.652768, 0.695498, 0.07645, -0.724234, -0.695961]], "network.2.bias": [-0.972382, -0.50039, -0.446838, 0.391506, -0.419516, 0.154869, 0.065191, -0.204776], "network.4.weight": [[0.167435, -0.215033, 0.174152, -0.258683, -0.461187, -0.650805, -0.210787, -0.160464], [0.055542, -0.315635, 0.214427, -0.42028, 0.008138, -0.284944, -0.081662, -0.502673], [-0.183162, 0.246326, -0.220932, -0.405213, 0.222832, -0.088566, 0.658239, 0.158077], [-0.129533, 0.373992, 0.038763, 0.129428, -0.593043, -0.224735, -0.028028, -0.281655], [-0.299085, -0.081905, 0.061273, -0.266985, -0.248928, -0.084016, -0.123038, -0.319011], [-0.575656, -0.192627, -0.3617, -0.388921, 0.253897, -0.260346, 0.694482, 0.554242], [0.366582, 0.64557, 0.08645, 0.569236, 0.8585, 0.90915, -0.182151, -0.737345], [0.037077, -0.135997, -0.31847, -1.005567, -0.288438, -0.306722, -0.241599, -0.426679]], "network.4.bias": [-0.763165, -0.259725, 0.03239, -0.237401, -0.191989, 0.09616, 0.547905, -0.101755], "network.6.weight": [[0.03095, 0.164225, -0.256202, 0.159816, -0.19289, 0.150097, -0.779401, 0.025087], [0.085505, 0.597525, -0.201978, -0.070611, -0.292963, -1.192196, 0.442915, 0.00763], [0.029261, 0.060217, 0.720892, 0.427675, 0.233849, 0.633136, -0.225184, 0.239908], [-0.266461, -0.295252, -0.642436, -0.140132, 0.022161, -0.243446, -0.269614, -0.395871], [-0.061569, -0.180964, 0.331455, 0.013489, -0.121883, -0.314873, -0.244206, -0.007892], [0.394369, 0.503008, -0.679144, -0.067151, 0.308478, -0.656483, 0.912536, 0.417359], [0.056546, -0.041719, 0.394852, 0.29098, -0.124517, 0.107357, -0.695478, 0.417698], [0.269661, -0.442101, -0.308647, 0.204292, 0.202076, -0.280827, 0.183666, -0.487239]], "network.6.bias": [-0.476007, 1.089964, 0.124287, -0.771309, -0.158891, 0.221161, -0.085065, -1.038219], "network.8.weight": [[-0.172141, -0.05071, -0.130818, -0.286088, -0.256345, -0.180493, -0.180314, -0.285944], [0.179925, 1.358636, -1.065184, 0.217955, 0.129942, 0.265747, 0.175705, 0.51998], [-0.276593, 0.15529, -0.392916, -0.568169, 0.050068, -0.350031, -0.628677, -0.630914], [-0.165557, 0.368073, -0.316674, -0.311323, 0.092967, -0.880356, -0.38432, 0.207183], [-0.001075, -0.074826, 0.335478, -0.357114, -0.083258, -0.946654, 0.370835, -0.329608], [0.022909, -0.160709, 0.462787, -0.373021, -0.029142, -0.297547, 0.083977, -0.234733], [0.626974, 0.255225, -0.617756, -0.226574, -0.190425, -0.165014, -1.005664, -0.676672], [0.496985, 0.839542, -0.887737, 0.52554, 0.313265, 0.295852, -0.451105, 0.047089]], "network.8.bias": [-0.000248, 0.318362, -0.997698, -0.436358, 0.070762, 0.006694, -0.670819, 0.039411], "network.10.weight": [[-0.109709, -0.655427, -0.309791, 0.373435, 0.254844, 0.256741, -0.171477, -0.329202]], "network.10.bias": [-0.063478]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6701457798480988, "train_acc": 0.6, "val_loss": 0.6997593641281128, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.636711448431015, "train_acc": 0.635, "val_loss": 0.6180023550987244, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6112374365329742, "train_acc": 0.715, "val_loss": 0.7589148879051208, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.7228860557079315, "train_acc": 0.5, "val_loss": 0.6689369678497314, "val_acc": 0.5}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6154760420322418, "train_acc": 0.585, "val_loss": 0.4877740442752838, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.48600390553474426, "train_acc": 0.87, "val_loss": 0.46726882457733154, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3068341463804245, "train_acc": 0.88, "val_loss": 0.5159346461296082, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2661982849240303, "train_acc": 0.905, "val_loss": 0.4699810743331909, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.25324927270412445, "train_acc": 0.91, "val_loss": 0.42646798491477966, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2523166239261627, "train_acc": 0.9, "val_loss": 0.44115662574768066, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.21791735291481018, "train_acc": 0.93, "val_loss": 0.36602914333343506, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.211344912648201, "train_acc": 0.925, "val_loss": 0.3216272294521332, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6997593641281128, "final_val_loss": 0.6180023550987244, "initial_val_acc": 0.5, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.7589148879051208, "final_val_loss": 0.3216272294521332, "initial_val_acc": 0.5, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 10}, "improvement": 0.16000000000000003, "first_improvement_epoch": 1}}
|
156
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.78, "improved_accuracy": 0.94, "improvement": 0.15999999999999992, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4975, "learning_rate": 0.05902390869243723, "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: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[20.411925, 20.915697, 23.501108, 24.960325, 26.379093, 26.715852, 29.018447, 30.053338, 30.938236, 31.309248], [19.840354, 20.903811, 21.406042, 21.566552, 23.327991, 23.623329, 23.828617, 23.996799, 27.263962, 32.445099], [17.026490, 17.588742, 18.832202, 19.007341, 19.336125, 19.872349, 20.262569, 21.139965, 21.703875, 89.751966], [15.884521, 16.321346, 17.890874, 18.091764, 18.869123, 19.936545, 20.423463, 21.973117, 22.475421, 23.791119], [20.990307, 21.611562, 23.453621, 23.649630, 24.528770, 27.313362, 27.498187, 29.072126, 29.384664, 32.611740], [32.976307, 35.141839, 35.662716, 39.984112, 40.179702, 40.315389, 41.290719, 42.857226, 45.947733, 333.947689]]
### 2
fourier: [[12.887476, 13.320006, 14.630376, 15.412035, 15.581052, 15.607950, 15.992624, 16.769009, 18.599412, 51.180443], [9.330371, 10.045043, 10.517606, 10.527486, 10.745352, 10.811623, 12.283180, 14.009348, 15.738839, 22.265145], [5.988930, 6.116484, 6.204412, 6.410878, 6.834216, 6.979580, 7.399186, 7.552403, 9.197238, 17.437629], [8.574985, 8.776163, 9.096470, 9.863288, 10.178437, 12.236747, 13.034457, 13.121835, 13.453900, 49.271986], [21.576878, 23.853201, 24.160294, 25.283727, 25.400075, 25.991012, 27.957641, 28.549070, 31.242099, 71.195244], [21.224699, 21.625375, 25.307991, 25.799515, 26.650398, 27.124186, 28.376643, 31.266766, 33.348946, 74.206484]]
### 4
fourier: [[15.889762, 16.674567, 17.708128, 18.222371, 18.948958, 20.205180, 21.564212, 21.570852, 21.724401, 22.238413], [32.770699, 35.854179, 36.030508, 36.151318, 37.207710, 37.973758, 40.408396, 42.020835, 46.698826, 90.213786], [21.001604, 21.167742, 21.241726, 21.577787, 23.246141, 23.251002, 24.405142, 26.378104, 29.541382, 38.577219], [7.253644, 7.326314, 7.763816, 7.803770, 7.908735, 10.442367, 11.465793, 11.618278, 12.324448, 89.400214], [15.902357, 16.131572, 16.611086, 17.290717, 17.757192, 17.990360, 19.279637, 20.899029, 22.903359, 92.390088], [8.134317, 8.215908, 8.599495, 9.094766, 9.223714, 9.876219, 11.566610, 11.869577, 11.969597, 24.504394]]
### 6
fourier: [[27.043021, 28.654633, 29.922804, 31.446471, 32.260034, 35.050954, 35.889485, 37.042807, 37.934230, 101.221469], [23.819187, 26.493473, 27.289156, 28.508273, 28.896495, 31.816678, 34.434906, 36.763210, 37.241615, 121.589968], [35.020705, 39.304213, 40.415319, 41.258834, 41.685591, 42.267696, 44.011867, 48.769753, 51.518117, 152.395077], [3.090266, 3.138358, 3.184034, 3.246393, 3.835299, 4.184498, 4.377058, 5.035407, 5.040514, 49.446567], [8.122987, 8.669591, 9.840364, 9.950594, 10.091501, 10.444213, 11.380238, 12.253339, 15.402765, 90.447885], [22.932365, 23.173728, 23.704636, 24.887419, 26.372502, 26.493459, 27.747978, 30.335938, 31.979058, 65.756276]]
### 8
fourier: [[55.544216, 55.804492, 61.694915, 64.535456, 69.707799, 72.112257, 79.154224, 83.770102, 86.758019, 401.439189]]
## 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: 4
Neurons per Layer: 6
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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0.174067,
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],
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-0.233619,
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-0.419263
],
[
-0.08748,
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]
],
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[
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}
## Activation Signature
### 0
fourier: [[20.411925, 20.915697, 23.501108, 24.960325, 26.379093, 26.715852, 29.018447, 30.053338, 30.938236, 31.309248], [19.840354, 20.903811, 21.406042, 21.566552, 23.327991, 23.623329, 23.828617, 23.996799, 27.263962, 32.445099], [17.026490, 17.588742, 18.832202, 19.007341, 19.336125, 19.872349, 20.262569, 21.139965, 21.703875, 89.751966], [15.884521, 16.321346, 17.890874, 18.091764, 18.869123, 19.936545, 20.423463, 21.973117, 22.475421, 23.791119], [20.990307, 21.611562, 23.453621, 23.649630, 24.528770, 27.313362, 27.498187, 29.072126, 29.384664, 32.611740], [32.976307, 35.141839, 35.662716, 39.984112, 40.179702, 40.315389, 41.290719, 42.857226, 45.947733, 333.947689]]
### 2
fourier: [[12.887476, 13.320006, 14.630376, 15.412035, 15.581052, 15.607950, 15.992624, 16.769009, 18.599412, 51.180443], [9.330371, 10.045043, 10.517606, 10.527486, 10.745352, 10.811623, 12.283180, 14.009348, 15.738839, 22.265145], [5.988930, 6.116484, 6.204412, 6.410878, 6.834216, 6.979580, 7.399186, 7.552403, 9.197238, 17.437629], [8.574985, 8.776163, 9.096470, 9.863288, 10.178437, 12.236747, 13.034457, 13.121835, 13.453900, 49.271986], [21.576878, 23.853201, 24.160294, 25.283727, 25.400075, 25.991012, 27.957641, 28.549070, 31.242099, 71.195244], [21.224699, 21.625375, 25.307991, 25.799515, 26.650398, 27.124186, 28.376643, 31.266766, 33.348946, 74.206484]]
### 4
fourier: [[15.889762, 16.674567, 17.708128, 18.222371, 18.948958, 20.205180, 21.564212, 21.570852, 21.724401, 22.238413], [32.770699, 35.854179, 36.030508, 36.151318, 37.207710, 37.973758, 40.408396, 42.020835, 46.698826, 90.213786], [21.001604, 21.167742, 21.241726, 21.577787, 23.246141, 23.251002, 24.405142, 26.378104, 29.541382, 38.577219], [7.253644, 7.326314, 7.763816, 7.803770, 7.908735, 10.442367, 11.465793, 11.618278, 12.324448, 89.400214], [15.902357, 16.131572, 16.611086, 17.290717, 17.757192, 17.990360, 19.279637, 20.899029, 22.903359, 92.390088], [8.134317, 8.215908, 8.599495, 9.094766, 9.223714, 9.876219, 11.566610, 11.869577, 11.969597, 24.504394]]
### 6
fourier: [[27.043021, 28.654633, 29.922804, 31.446471, 32.260034, 35.050954, 35.889485, 37.042807, 37.934230, 101.221469], [23.819187, 26.493473, 27.289156, 28.508273, 28.896495, 31.816678, 34.434906, 36.763210, 37.241615, 121.589968], [35.020705, 39.304213, 40.415319, 41.258834, 41.685591, 42.267696, 44.011867, 48.769753, 51.518117, 152.395077], [3.090266, 3.138358, 3.184034, 3.246393, 3.835299, 4.184498, 4.377058, 5.035407, 5.040514, 49.446567], [8.122987, 8.669591, 9.840364, 9.950594, 10.091501, 10.444213, 11.380238, 12.253339, 15.402765, 90.447885], [22.932365, 23.173728, 23.704636, 24.887419, 26.372502, 26.493459, 27.747978, 30.335938, 31.979058, 65.756276]]
### 8
fourier: [[55.544216, 55.804492, 61.694915, 64.535456, 69.707799, 72.112257, 79.154224, 83.770102, 86.758019, 401.439189]]
## 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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"model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "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": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.722979, 0.28585, -0.276254, -0.40535, -0.025795], [-0.009251, -0.53418, -0.103759, 0.116796, 0.626771], [0.121572, 0.12616, -0.236956, -0.456564, -0.342917], [0.534803, 0.233951, -0.344298, -0.040519, -0.109911], [0.665227, 0.244126, -0.186209, -0.503368, -0.246544], [-0.713828, -0.394381, -0.57485, -0.156455, 0.0475]], "network.0.bias": [0.187371, -0.182333, 0.518557, 0.114152, 0.357914, -0.625839], "network.2.weight": [[0.488272, -0.206634, 0.657654, 0.14303, 0.117916, -0.06506], [0.320587, 0.698524, -0.390443, -0.565946, -0.126468, 0.049067], [-0.055473, 0.181629, -0.120975, 0.269383, -0.499705, -0.057092], [-0.133183, 0.805102, -0.314221, -0.257242, 0.343797, -0.032651], [0.622271, -0.595276, 0.382614, 0.172005, 0.522961, 0.040809], [0.683419, -0.219307, 0.775387, 0.10088, 0.575667, -0.461525]], "network.2.bias": [0.04057, 0.198498, -0.05613, 0.302172, 0.086127, -0.121669], "network.4.weight": [[-0.004356, -0.58248, -0.374448, -0.240955, 0.468268, 0.177121], [0.317549, -0.351825, -0.561314, -0.293951, 0.71482, 0.568237], [-0.458949, 0.5493, 0.504312, 0.856393, -0.178865, -0.162079], [0.174067, -0.245526, -0.30405, -0.505072, -0.0059, -0.266826], [-0.233619, 0.635005, 0.514168, 0.631625, 0.162581, -0.419263], [-0.08748, 0.674624, 0.631445, 0.136422, -0.017845, -0.023971]], "network.4.bias": [0.014959, -0.072321, 0.318178, -0.450826, 0.788654, -0.008936], "network.6.weight": [[-0.036581, -0.608799, 0.379444, 0.21577, 0.553654, 0.300484], [0.325815, -0.422515, 0.842577, -0.046189, 0.531934, 0.487196], [-0.313687, -0.452682, 0.938314, -0.159016, 0.621079, 0.64587], [-0.118452, 0.014895, -0.346, -0.106357, -0.156853, 0.404061], [-0.385717, -0.166389, 0.214049, 0.26719, -0.343307, -0.303826], [0.5387, 0.454715, -0.177865, -0.235248, 0.100785, -0.526382]], "network.6.bias": [0.85361, 0.238063, 0.726919, -0.182049, -0.255573, 0.077169], "network.8.weight": [[-0.94901, -0.536857, -0.88171, -0.094932, 0.127817, 0.574303]], "network.8.bias": [-0.66307]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6748575866222382, "train_acc": 0.605, "val_loss": 0.6388840079307556, "val_acc": 0.78}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6141875386238098, "train_acc": 0.775, "val_loss": 0.5567623376846313, "val_acc": 0.78}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.513032853603363, "train_acc": 0.875, "val_loss": 0.48213455080986023, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.44050607085227966, "train_acc": 0.855, "val_loss": 0.40535372495651245, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.33025574684143066, "train_acc": 0.89, "val_loss": 0.39344292879104614, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.33347244560718536, "train_acc": 0.91, "val_loss": 0.3297685384750366, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.28368231654167175, "train_acc": 0.925, "val_loss": 0.34079962968826294, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2731207609176636, "train_acc": 0.915, "val_loss": 0.3062440752983093, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.24949252605438232, "train_acc": 0.93, "val_loss": 0.2889932692050934, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.28014132380485535, "train_acc": 0.925, "val_loss": 0.2963882386684418, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.26423749327659607, "train_acc": 0.925, "val_loss": 0.2794175446033478, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.24864545464515686, "train_acc": 0.94, "val_loss": 0.2710014581680298, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6388840079307556, "final_val_loss": 0.5567623376846313, "initial_val_acc": 0.78, "final_val_acc": 0.78, "best_val_acc": 0.78}, "improved_stage": {"initial_val_loss": 0.48213455080986023, "final_val_loss": 0.2710014581680298, "initial_val_acc": 0.82, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 7}, "improvement": 0.15999999999999992, "first_improvement_epoch": 1}}
|
157
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6978, "learning_rate": 0.07890678712976501, "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: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.34941,
0.278587,
0.122783,
-0.098738,
-0.160884
],
[
1.165638,
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0.281578,
0.108762,
0.120837
],
[
-0.02652,
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-0.524191
],
[
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## Activation Signature
### 0
fourier: [[9.388831, 9.568421, 9.762871, 11.384570, 11.388112, 13.123796, 13.257807, 13.685256, 17.806236, 42.631831], [41.258106, 43.514947, 45.196683, 46.497414, 50.209697, 51.014456, 51.910367, 54.453559, 56.500167, 222.385176], [21.146405, 21.541558, 23.612056, 26.755544, 26.857190, 30.258434, 31.209016, 31.244229, 32.761131, 315.445462], [36.050588, 36.529243, 38.704601, 39.927321, 40.601081, 41.861226, 43.524828, 49.201797, 49.355336, 320.497972], [39.845875, 40.882849, 42.286231, 42.775155, 43.124142, 44.941627, 46.795355, 47.545424, 53.711364, 157.152906], [30.326600, 31.943262, 32.152666, 34.247115, 34.502721, 34.957699, 37.944296, 44.851737, 45.450538, 376.072801], [31.844632, 34.502168, 35.756601, 37.032423, 38.673788, 38.746833, 43.415758, 51.427659, 55.484450, 311.403666]]
### 2
fourier: [[18.836735, 19.731876, 20.310064, 21.727293, 23.083778, 23.174760, 24.259537, 24.437973, 24.537992, 159.145383], [22.658193, 24.407647, 25.001235, 26.758865, 27.690670, 28.042167, 29.320823, 29.329520, 30.289561, 98.646800], [12.826551, 13.878591, 13.899201, 14.845623, 15.068864, 16.337924, 16.394750, 16.956486, 17.263764, 33.113179], [12.090939, 12.628910, 14.070728, 14.113967, 14.632237, 15.363632, 16.236084, 16.677898, 16.775262, 17.163233], [2.534758, 2.538813, 2.563965, 2.732154, 2.753414, 2.788712, 2.978519, 3.054944, 3.215519, 51.393314], [1.264729, 1.350766, 1.469826, 1.492112, 1.635485, 1.828990, 1.943858, 1.976000, 2.465265, 32.917777], [20.529637, 21.469184, 22.100015, 24.210116, 24.709250, 24.757999, 26.492488, 26.534239, 26.620578, 80.847295]]
### 4
fourier: [[13.889325, 14.150815, 14.342228, 15.193108, 16.081385, 16.094202, 16.143313, 17.424534, 18.108485, 55.032774], [22.088933, 22.940894, 23.939167, 24.105512, 26.251402, 27.185240, 27.230674, 27.448095, 29.132510, 30.151832], [15.749095, 15.797669, 16.789682, 17.361289, 17.515150, 17.959011, 18.519369, 20.088633, 20.525643, 102.441593], [3.662091, 3.759985, 3.849412, 3.921195, 4.385376, 4.543926, 4.710411, 5.080968, 5.367173, 51.787127], [3.088256, 3.163219, 3.203617, 3.537919, 3.834654, 4.182481, 4.289249, 4.318564, 4.796600, 39.935025], [24.037533, 24.445486, 25.160936, 26.649688, 27.773041, 27.919206, 27.992542, 29.931269, 31.395059, 163.618816], [20.619497, 20.705052, 22.032683, 22.407186, 23.492497, 23.637317, 23.953474, 25.762123, 26.717639, 99.736029]]
### 6
fourier: [[0.709767, 0.726605, 0.765946, 0.863170, 0.873289, 0.940500, 0.961570, 1.057997, 1.066530, 30.105363], [8.411545, 8.417464, 8.914304, 9.038658, 9.530778, 10.120451, 11.566510, 11.648758, 12.421855, 36.482677], [14.265043, 14.446015, 14.713759, 15.219679, 15.723388, 16.148604, 17.006703, 17.591585, 19.103427, 54.127578], [2.948463, 2.998171, 3.010000, 3.555768, 3.597270, 3.744314, 3.894375, 4.258403, 4.354219, 53.955053], [4.086325, 4.290105, 4.351557, 4.649394, 5.353200, 5.590774, 5.772870, 6.358588, 7.005157, 86.125289], [3.640556, 3.817248, 4.128498, 4.292515, 4.925970, 5.033657, 5.278321, 5.602463, 6.345609, 61.401884], [0.589170, 0.592847, 0.608614, 0.666675, 0.719390, 0.779485, 0.821499, 0.909679, 0.942214, 30.116393]]
### 8
fourier: [[1.869993, 1.913990, 1.922217, 2.022084, 2.531271, 2.781036, 2.783445, 3.134076, 3.298258, 60.674179], [16.276838, 17.126797, 17.231319, 17.398648, 17.573748, 19.640897, 22.057782, 22.304718, 22.651527, 67.805425], [2.008288, 2.061410, 2.111540, 2.323475, 2.632087, 2.666428, 2.857474, 2.942345, 3.125275, 46.167735], [2.580728, 2.587860, 2.852638, 3.264953, 3.429189, 3.531700, 3.646254, 3.931267, 4.550483, 103.991718], [15.146066, 15.532590, 15.634835, 16.069339, 16.992125, 17.313743, 18.285050, 18.588315, 19.127215, 19.705567], [19.732639, 19.833841, 20.562787, 20.794250, 21.124232, 22.220598, 22.727395, 23.405318, 24.727581, 153.531705], [20.913361, 21.261608, 21.322505, 21.865654, 22.683965, 23.688515, 24.814893, 25.464244, 26.826539, 140.104317]]
### 10
fourier: [[63.581976, 65.493242, 66.253774, 67.550033, 72.448778, 73.877589, 80.644070, 82.204979, 84.480462, 281.928294]]
## 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: 5
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: [[9.388831, 9.568421, 9.762871, 11.384570, 11.388112, 13.123796, 13.257807, 13.685256, 17.806236, 42.631831], [41.258106, 43.514947, 45.196683, 46.497414, 50.209697, 51.014456, 51.910367, 54.453559, 56.500167, 222.385176], [21.146405, 21.541558, 23.612056, 26.755544, 26.857190, 30.258434, 31.209016, 31.244229, 32.761131, 315.445462], [36.050588, 36.529243, 38.704601, 39.927321, 40.601081, 41.861226, 43.524828, 49.201797, 49.355336, 320.497972], [39.845875, 40.882849, 42.286231, 42.775155, 43.124142, 44.941627, 46.795355, 47.545424, 53.711364, 157.152906], [30.326600, 31.943262, 32.152666, 34.247115, 34.502721, 34.957699, 37.944296, 44.851737, 45.450538, 376.072801], [31.844632, 34.502168, 35.756601, 37.032423, 38.673788, 38.746833, 43.415758, 51.427659, 55.484450, 311.403666]]
### 2
fourier: [[18.836735, 19.731876, 20.310064, 21.727293, 23.083778, 23.174760, 24.259537, 24.437973, 24.537992, 159.145383], [22.658193, 24.407647, 25.001235, 26.758865, 27.690670, 28.042167, 29.320823, 29.329520, 30.289561, 98.646800], [12.826551, 13.878591, 13.899201, 14.845623, 15.068864, 16.337924, 16.394750, 16.956486, 17.263764, 33.113179], [12.090939, 12.628910, 14.070728, 14.113967, 14.632237, 15.363632, 16.236084, 16.677898, 16.775262, 17.163233], [2.534758, 2.538813, 2.563965, 2.732154, 2.753414, 2.788712, 2.978519, 3.054944, 3.215519, 51.393314], [1.264729, 1.350766, 1.469826, 1.492112, 1.635485, 1.828990, 1.943858, 1.976000, 2.465265, 32.917777], [20.529637, 21.469184, 22.100015, 24.210116, 24.709250, 24.757999, 26.492488, 26.534239, 26.620578, 80.847295]]
### 4
fourier: [[13.889325, 14.150815, 14.342228, 15.193108, 16.081385, 16.094202, 16.143313, 17.424534, 18.108485, 55.032774], [22.088933, 22.940894, 23.939167, 24.105512, 26.251402, 27.185240, 27.230674, 27.448095, 29.132510, 30.151832], [15.749095, 15.797669, 16.789682, 17.361289, 17.515150, 17.959011, 18.519369, 20.088633, 20.525643, 102.441593], [3.662091, 3.759985, 3.849412, 3.921195, 4.385376, 4.543926, 4.710411, 5.080968, 5.367173, 51.787127], [3.088256, 3.163219, 3.203617, 3.537919, 3.834654, 4.182481, 4.289249, 4.318564, 4.796600, 39.935025], [24.037533, 24.445486, 25.160936, 26.649688, 27.773041, 27.919206, 27.992542, 29.931269, 31.395059, 163.618816], [20.619497, 20.705052, 22.032683, 22.407186, 23.492497, 23.637317, 23.953474, 25.762123, 26.717639, 99.736029]]
### 6
fourier: [[0.709767, 0.726605, 0.765946, 0.863170, 0.873289, 0.940500, 0.961570, 1.057997, 1.066530, 30.105363], [8.411545, 8.417464, 8.914304, 9.038658, 9.530778, 10.120451, 11.566510, 11.648758, 12.421855, 36.482677], [14.265043, 14.446015, 14.713759, 15.219679, 15.723388, 16.148604, 17.006703, 17.591585, 19.103427, 54.127578], [2.948463, 2.998171, 3.010000, 3.555768, 3.597270, 3.744314, 3.894375, 4.258403, 4.354219, 53.955053], [4.086325, 4.290105, 4.351557, 4.649394, 5.353200, 5.590774, 5.772870, 6.358588, 7.005157, 86.125289], [3.640556, 3.817248, 4.128498, 4.292515, 4.925970, 5.033657, 5.278321, 5.602463, 6.345609, 61.401884], [0.589170, 0.592847, 0.608614, 0.666675, 0.719390, 0.779485, 0.821499, 0.909679, 0.942214, 30.116393]]
### 8
fourier: [[1.869993, 1.913990, 1.922217, 2.022084, 2.531271, 2.781036, 2.783445, 3.134076, 3.298258, 60.674179], [16.276838, 17.126797, 17.231319, 17.398648, 17.573748, 19.640897, 22.057782, 22.304718, 22.651527, 67.805425], [2.008288, 2.061410, 2.111540, 2.323475, 2.632087, 2.666428, 2.857474, 2.942345, 3.125275, 46.167735], [2.580728, 2.587860, 2.852638, 3.264953, 3.429189, 3.531700, 3.646254, 3.931267, 4.550483, 103.991718], [15.146066, 15.532590, 15.634835, 16.069339, 16.992125, 17.313743, 18.285050, 18.588315, 19.127215, 19.705567], [19.732639, 19.833841, 20.562787, 20.794250, 21.124232, 22.220598, 22.727395, 23.405318, 24.727581, 153.531705], [20.913361, 21.261608, 21.322505, 21.865654, 22.683965, 23.688515, 24.814893, 25.464244, 26.826539, 140.104317]]
### 10
fourier: [[63.581976, 65.493242, 66.253774, 67.550033, 72.448778, 73.877589, 80.644070, 82.204979, 84.480462, 281.928294]]
## 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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27.69067045683167, 28.042166577631, 29.320823197312958, 29.329520241790156, 30.28956071659457, 98.64679957926273]}, "2": {"fourier": [12.82655114581561, 13.87859099864786, 13.899200970166211, 14.845623178352634, 15.068863669041704, 16.337924092174777, 16.39475049618847, 16.956486008633036, 17.263763869677923, 33.113178953528404]}, "3": {"fourier": [12.090939215098949, 12.628909886834949, 14.070727839300053, 14.113967214176583, 14.632237088736701, 15.363632192200262, 16.23608351593151, 16.677897613957665, 16.77526245538915, 17.163232931605048]}, "4": {"fourier": [2.534757835810702, 2.5388126160938134, 2.563964851131364, 2.7321537716166353, 2.753414350689448, 2.7887118419416974, 2.9785188896124017, 3.054944344296455, 3.215518838281116, 51.39331394433975]}, "5": {"fourier": [1.2647294349809077, 1.3507657933536015, 1.4698263753931162, 1.4921119559003568, 1.6354849746242819, 1.8289904331816518, 1.9438582573718106, 1.9759996701036247, 2.4652652403109268, 32.917777478694916]}, "6": 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.34941, 0.278587, 0.122783, -0.098738, -0.160884], [1.165638, 0.439345, 0.281578, 0.108762, 0.120837], [-0.02652, -0.199364, -0.298454, -0.450147, -0.524191], [-0.613411, -0.708019, -0.513435, -0.195302, 0.091593], [-1.285372, -0.115931, -0.079409, -0.382704, 0.302272], [-0.075935, -0.469376, -0.773234, -0.312912, -0.388209], [-0.753673, -0.574534, 0.005674, -0.506536, -0.400941]], "network.0.bias": [-0.392831, -0.750661, -0.873408, -0.129207, 0.678444, -0.463769, 0.093673], "network.2.weight": [[-0.067483, -0.472288, -0.228149, -0.277817, -0.059753, 0.200656, -0.353437], [0.335544, 0.561046, 0.491011, -0.235368, -0.258683, 0.193569, 0.352643], [-0.040845, 0.306071, 0.332025, 0.056762, -0.265627, 0.070605, -0.12253], [-0.199961, -0.301455, 0.031738, -0.077036, 0.397765, -0.223099, 0.068399], [-0.272227, -0.05725, -0.14638, -0.142402, 0.00938, 0.163979, -0.33758], [-0.355454, -0.002752, -0.37224, -0.377495, -0.178977, -0.369819, -0.166687], [0.155313, 0.500848, -0.701789, -0.499998, -0.159021, 0.143444, -0.546888]], "network.2.bias": [-0.531787, -0.33163, -0.351028, 0.623629, -0.387572, -0.271781, -0.363215], "network.4.weight": [[0.324956, 0.416356, -0.134413, 0.028379, 0.376986, 0.084977, 0.303041], [0.036557, -0.255807, -0.103688, 0.782536, 0.08942, -0.278328, -0.687405], [-0.629339, -0.523158, -0.45649, -0.289402, -0.224829, 0.0787, 0.035604], [0.155158, -0.336209, 0.104946, -0.264228, -0.055537, 0.183534, 0.087622], [0.190761, 0.043432, 0.196104, -0.32325, 0.165475, 0.052999, -0.377261], [-0.154415, -0.652694, -0.316843, 0.034894, 0.329338, 0.252681, -0.267726], [-0.336048, -0.369416, -0.306552, -0.113732, -0.301264, 0.165924, -0.439595]], "network.4.bias": [-0.134998, 0.593463, -0.20957, -0.229423, -0.111388, -0.605159, -0.018581], "network.6.weight": [[-0.077855, -0.064471, -0.376355, 0.255576, -0.137176, -0.245967, -0.339967], [-0.100521, 1.026615, 0.310462, 0.068644, -0.276918, 0.484549, -0.156768], [0.476307, -1.213953, 0.039329, -0.159832, -0.323921, -0.102493, -0.053953], [-0.311999, -0.23877, -0.228015, -0.024053, 0.132084, -0.058922, -0.507703], [0.046994, 0.65326, -0.472611, 0.336993, 0.031703, -0.564245, 0.089061], [-0.168086, -0.681501, -0.336667, -0.239152, 0.345549, -0.440027, -0.045326], [-0.036085, -0.10913, -0.273447, 0.143841, -0.28874, -0.122805, 0.379468]], "network.6.bias": [-0.249003, -0.075113, 0.934605, -0.267291, 0.578272, -0.208932, -0.252807], "network.8.weight": [[0.127326, -0.211523, -0.361748, 0.130436, -0.293611, -0.062248, 0.005166], [0.335978, 0.821367, -0.735797, 0.173712, 0.636538, -0.371932, -0.076297], [0.065827, -0.224836, -0.312225, -0.08875, -0.017154, -0.368167, 0.317416], [0.038864, -0.296337, -0.104989, -0.110295, -0.382787, -0.162293, -0.089302], [-0.237024, 0.085504, -1.039412, -0.169126, 0.641352, -0.335592, 0.005428], [-0.249008, -0.389352, 1.468312, 0.31794, 0.084329, 0.066745, 0.547832], [-0.150011, -0.920158, 1.369123, -0.278128, 0.35265, -0.126983, -0.30695]], "network.8.bias": [-0.001793, 0.308941, -0.137422, -0.557035, 0.364276, 0.666116, 0.605996], "network.10.weight": [[0.036191, 0.679787, -0.016694, -0.128132, 0.412414, -1.20066, -1.441343]], "network.10.bias": [0.264582]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6929658651351929, "train_acc": 0.535, "val_loss": 0.6806800961494446, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6842721700668335, "train_acc": 0.56, "val_loss": 0.6786693334579468, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6846805810928345, "train_acc": 0.56, "val_loss": 0.6705685257911682, "val_acc": 0.58}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6757724285125732, "train_acc": 0.56, "val_loss": 0.6489143371582031, "val_acc": 0.58}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6515423357486725, "train_acc": 0.56, "val_loss": 0.5932886004447937, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.597482830286026, "train_acc": 0.645, "val_loss": 0.5388701558113098, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5222586393356323, "train_acc": 0.795, "val_loss": 0.44771653413772583, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.4140372723340988, "train_acc": 0.855, "val_loss": 0.2767731845378876, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.29009050130844116, "train_acc": 0.895, "val_loss": 0.27065542340278625, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.3318161815404892, "train_acc": 0.87, "val_loss": 0.42510077357292175, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.316807396709919, "train_acc": 0.88, "val_loss": 0.18936647474765778, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.329967625439167, "train_acc": 0.885, "val_loss": 0.20997941493988037, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.24693268537521362, "train_acc": 0.93, "val_loss": 0.43640458583831787, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.3136557638645172, "train_acc": 0.875, "val_loss": 0.26698172092437744, "val_acc": 0.88}], "summary": {"total_epochs": 14, "degraded_epochs": 5, "improved_epochs": 9, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6806800961494446, "final_val_loss": 0.5932886004447937, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5388701558113098, "final_val_loss": 0.26698172092437744, "initial_val_acc": 0.78, "final_val_acc": 0.88, "best_val_acc": 0.94, "best_epoch": 10}, "improvement": 0.36, "first_improvement_epoch": 4}}
|
158
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.64, "improved_accuracy": 0.84, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4142, "learning_rate": 0.014624247186115873, "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: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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],
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}
## Activation Signature
### 0
fourier: [[20.129593, 20.196280, 20.592092, 20.923431, 21.656167, 21.887830, 22.046576, 26.712608, 28.843681, 39.841629], [21.418134, 21.745859, 22.398757, 22.749387, 22.838673, 23.152433, 23.679445, 24.400736, 26.995745, 29.650989], [9.935488, 10.526346, 12.078598, 12.146439, 12.336987, 12.448352, 14.398493, 15.775442, 18.463329, 69.125795], [16.716946, 18.436689, 18.849514, 21.057761, 21.228990, 22.018975, 22.208796, 23.535666, 24.426435, 168.560141], [19.662384, 19.683733, 20.441177, 21.388444, 25.808046, 26.855444, 27.485327, 27.640941, 29.599779, 166.509243]]
### 2
fourier: [[6.036746, 6.340821, 6.541241, 6.683235, 7.044602, 8.894458, 9.253357, 10.579744, 11.155699, 63.076768], [8.234346, 8.781783, 8.970021, 9.146305, 9.859441, 10.398328, 11.470982, 11.702589, 15.241045, 24.710117], [7.974962, 8.112709, 8.746173, 9.049713, 9.929830, 10.925229, 11.326843, 11.591065, 11.780347, 109.784171], [16.525739, 16.577057, 17.873688, 18.886596, 19.189076, 20.297551, 23.289932, 25.733119, 28.683061, 68.429370], [12.729510, 13.990033, 14.311910, 14.413902, 14.435551, 14.530215, 16.169074, 16.702659, 18.441938, 21.570228]]
### 4
fourier: [[4.145491, 4.248555, 4.463964, 4.473076, 4.579319, 4.659345, 4.782789, 4.898103, 5.695859, 16.788051], [5.136865, 5.267250, 5.327395, 5.336909, 5.439526, 5.817670, 5.869185, 6.477491, 6.796032, 42.371284], [8.915073, 8.983725, 9.053126, 9.308627, 9.593670, 9.694575, 10.108503, 10.250524, 11.002370, 12.101377], [3.457484, 3.500718, 3.629854, 3.818632, 3.936679, 4.027611, 4.053364, 4.096607, 4.848546, 29.053290], [7.013759, 7.026982, 7.027408, 7.049131, 7.277256, 7.611779, 8.009338, 8.442926, 9.172705, 9.298674]]
### 6
fourier: [[5.093398, 5.174512, 5.329358, 5.426353, 5.789658, 5.811728, 5.913380, 6.538543, 6.582263, 8.691608], [1.075815, 1.098928, 1.104719, 1.111105, 1.165064, 1.175067, 1.258108, 1.320303, 1.471821, 6.640623], [2.852540, 2.905709, 3.050505, 3.119954, 3.166455, 3.219341, 3.235794, 3.477180, 3.917446, 6.378934], [0.367223, 0.381826, 0.397141, 0.403270, 0.427395, 0.452609, 0.463515, 0.466048, 0.606366, 38.443904], [6.081354, 6.144452, 6.383916, 6.473634, 6.868906, 6.934294, 7.044731, 7.742055, 7.835134, 31.889790]]
### 8
fourier: [[5.015943, 5.064887, 5.303563, 5.581395, 5.794418, 5.798004, 5.961464, 6.232206, 6.675619, 39.576964]]
## 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: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.061805,
-0.282378,
-0.053068,
0.580595
],
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0.106327,
0.598007
],
[
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0.37053,
0.169866,
-0.011308
],
[
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-0.356267,
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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.6.bias": [
0.01109,
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],
"network.8.weight": [
[
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0.481463,
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[20.129593, 20.196280, 20.592092, 20.923431, 21.656167, 21.887830, 22.046576, 26.712608, 28.843681, 39.841629], [21.418134, 21.745859, 22.398757, 22.749387, 22.838673, 23.152433, 23.679445, 24.400736, 26.995745, 29.650989], [9.935488, 10.526346, 12.078598, 12.146439, 12.336987, 12.448352, 14.398493, 15.775442, 18.463329, 69.125795], [16.716946, 18.436689, 18.849514, 21.057761, 21.228990, 22.018975, 22.208796, 23.535666, 24.426435, 168.560141], [19.662384, 19.683733, 20.441177, 21.388444, 25.808046, 26.855444, 27.485327, 27.640941, 29.599779, 166.509243]]
### 2
fourier: [[6.036746, 6.340821, 6.541241, 6.683235, 7.044602, 8.894458, 9.253357, 10.579744, 11.155699, 63.076768], [8.234346, 8.781783, 8.970021, 9.146305, 9.859441, 10.398328, 11.470982, 11.702589, 15.241045, 24.710117], [7.974962, 8.112709, 8.746173, 9.049713, 9.929830, 10.925229, 11.326843, 11.591065, 11.780347, 109.784171], [16.525739, 16.577057, 17.873688, 18.886596, 19.189076, 20.297551, 23.289932, 25.733119, 28.683061, 68.429370], [12.729510, 13.990033, 14.311910, 14.413902, 14.435551, 14.530215, 16.169074, 16.702659, 18.441938, 21.570228]]
### 4
fourier: [[4.145491, 4.248555, 4.463964, 4.473076, 4.579319, 4.659345, 4.782789, 4.898103, 5.695859, 16.788051], [5.136865, 5.267250, 5.327395, 5.336909, 5.439526, 5.817670, 5.869185, 6.477491, 6.796032, 42.371284], [8.915073, 8.983725, 9.053126, 9.308627, 9.593670, 9.694575, 10.108503, 10.250524, 11.002370, 12.101377], [3.457484, 3.500718, 3.629854, 3.818632, 3.936679, 4.027611, 4.053364, 4.096607, 4.848546, 29.053290], [7.013759, 7.026982, 7.027408, 7.049131, 7.277256, 7.611779, 8.009338, 8.442926, 9.172705, 9.298674]]
### 6
fourier: [[5.093398, 5.174512, 5.329358, 5.426353, 5.789658, 5.811728, 5.913380, 6.538543, 6.582263, 8.691608], [1.075815, 1.098928, 1.104719, 1.111105, 1.165064, 1.175067, 1.258108, 1.320303, 1.471821, 6.640623], [2.852540, 2.905709, 3.050505, 3.119954, 3.166455, 3.219341, 3.235794, 3.477180, 3.917446, 6.378934], [0.367223, 0.381826, 0.397141, 0.403270, 0.427395, 0.452609, 0.463515, 0.466048, 0.606366, 38.443904], [6.081354, 6.144452, 6.383916, 6.473634, 6.868906, 6.934294, 7.044731, 7.742055, 7.835134, 31.889790]]
### 8
fourier: [[5.015943, 5.064887, 5.303563, 5.581395, 5.794418, 5.798004, 5.961464, 6.232206, 6.675619, 39.576964]]
## 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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6.232205785614233, 6.675618748311342, 39.57696381211281]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "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": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.526195, 0.061805, -0.282378, -0.053068, 0.580595], [0.155251, -0.648197, -0.044644, 0.106327, 0.598007], [0.094554, -0.276037, 0.37053, 0.169866, -0.011308], [-0.308603, -0.259524, -0.356267, -0.111279, 0.224969], [0.471446, 0.142694, 0.400952, 0.254078, -0.2061]], "network.0.bias": [0.087104, 0.113864, 0.029081, -0.310566, -0.124816], "network.2.weight": [[-0.044184, -0.404507, 0.192164, -0.364254, -0.292294], [0.139407, 0.406317, -0.038947, 0.492677, -0.274107], [0.083605, -0.1241, -0.167453, 0.326201, -0.344991], [0.392291, 0.460002, 0.106322, 0.545617, -0.699737], [0.369231, 0.586026, -0.095292, -0.09279, -0.357387]], "network.2.bias": [-0.058639, -0.01249, -0.395539, 0.065822, 0.105394], "network.4.weight": [[-0.51299, -0.444653, 0.045965, 0.001141, -0.206094], [-0.204741, -0.378695, -0.100667, -0.281472, -0.107549], [0.058901, 0.46727, -0.023805, 0.198416, 0.558714], [0.281156, -0.40583, -0.197883, 0.110401, -0.247533], [0.01107, -0.017445, -0.078177, 0.433052, 0.425949]], "network.4.bias": [0.325867, -0.307636, -0.243182, -0.202114, -0.305448], "network.6.weight": [[-0.194806, 0.402799, 0.429304, 0.111486, 0.243226], [0.189824, 0.068106, -0.024445, 0.276802, -0.107421], [0.28087, 0.319823, 0.14844, 0.054964, 0.329197], [-0.372159, -0.217411, -0.211151, 0.169097, 0.263629], [-0.152333, -0.132773, 0.61716, 0.150094, 0.161475]], "network.6.bias": [0.01109, -0.100209, -0.084366, -0.324113, 0.22745], "network.8.weight": [[0.53953, -0.019911, 0.481463, -0.083932, 0.178266]], "network.8.bias": [-0.611367]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6856785118579865, "train_acc": 0.565, "val_loss": 0.6881449818611145, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6769868433475494, "train_acc": 0.565, "val_loss": 0.6781646609306335, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.663421094417572, "train_acc": 0.565, "val_loss": 0.663453221321106, "val_acc": 0.68}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6436802744865417, "train_acc": 0.775, "val_loss": 0.6444184184074402, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.615869402885437, "train_acc": 0.805, "val_loss": 0.6251798868179321, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5661656558513641, "train_acc": 0.8, "val_loss": 0.6159493327140808, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5408432185649872, "train_acc": 0.8, "val_loss": 0.6168825030326843, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5298009514808655, "train_acc": 0.81, "val_loss": 0.5968308448791504, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5075262635946274, "train_acc": 0.845, "val_loss": 0.5705833435058594, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.49562200903892517, "train_acc": 0.845, "val_loss": 0.5516237020492554, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.47786031663417816, "train_acc": 0.845, "val_loss": 0.5361807346343994, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.4592069983482361, "train_acc": 0.85, "val_loss": 0.5228906273841858, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.4541686326265335, "train_acc": 0.855, "val_loss": 0.5129144787788391, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.4583381861448288, "train_acc": 0.86, "val_loss": 0.4994422197341919, "val_acc": 0.84}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6881449818611145, "final_val_loss": 0.6444184184074402, "initial_val_acc": 0.54, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.6251798868179321, "final_val_loss": 0.4994422197341919, "initial_val_acc": 0.78, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 11}, "improvement": 0.19999999999999996, "first_improvement_epoch": 3}}
|
159
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.46, "improved_accuracy": 0.86, "improvement": 0.39999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8095, "learning_rate": 0.06783696592453048, "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: 4
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: [[11.704279, 11.719540, 11.807863, 12.504016, 13.120689, 15.176639, 15.972273, 17.500164, 21.376401, 21.562430], [24.650596, 24.750918, 25.608634, 26.441781, 28.636083, 29.440272, 31.572040, 33.240758, 38.494566, 268.771192], [18.998746, 19.102162, 19.509823, 19.971157, 20.547888, 20.566765, 21.796716, 22.544899, 24.181978, 50.403682], [30.130467, 31.837802, 32.031478, 32.728136, 33.875431, 34.467546, 34.639565, 34.964378, 37.533649, 91.086982], [20.943673, 21.964226, 22.682057, 24.384757, 24.789791, 25.108090, 28.619611, 31.199698, 34.003726, 173.907309], [16.684852, 17.170049, 18.198631, 19.150941, 19.561389, 21.406147, 23.059044, 24.560325, 27.910533, 197.321228], [22.266448, 22.344783, 23.168392, 23.819797, 26.288752, 31.881296, 32.567431, 35.389249, 42.430565, 255.395332], [19.574741, 20.118590, 21.428802, 21.934424, 22.255311, 22.285770, 24.064001, 27.188701, 28.645811, 56.462766]]
### 2
fourier: [[4.004274, 4.048813, 4.050646, 4.337492, 4.380282, 4.516337, 4.799201, 5.646925, 7.496996, 13.300518], [7.910885, 8.006494, 8.369290, 9.143984, 9.554402, 9.680096, 9.959474, 10.129160, 10.406087, 65.650966], [11.946508, 13.003277, 13.087084, 13.816531, 14.320275, 14.321377, 15.267667, 16.478763, 17.716189, 82.732144], [24.954871, 26.631378, 27.280934, 27.542991, 27.548265, 29.178746, 30.028828, 33.806013, 34.144711, 192.642141], [7.447895, 7.816682, 8.059372, 8.486079, 9.717127, 10.178429, 10.208536, 11.689137, 12.386921, 117.027921], [16.546168, 18.946531, 19.446371, 20.042549, 20.194510, 21.262643, 22.083372, 23.699661, 24.273355, 90.717836], [8.999043, 9.336248, 9.551393, 9.780929, 10.032599, 10.040531, 10.129396, 12.223628, 12.357930, 92.720619], [7.208448, 7.711182, 7.966207, 8.209231, 8.390547, 8.886880, 10.051433, 10.293854, 11.020982, 13.624063]]
### 4
fourier: [[19.861035, 21.359993, 23.103879, 23.339067, 24.273400, 24.325429, 25.022121, 27.747258, 28.052215, 131.562183], [9.376228, 10.039386, 10.820860, 10.864551, 10.886288, 11.509680, 11.693729, 12.916629, 12.983067, 89.156547], [9.959524, 10.043382, 10.474708, 10.957985, 11.222338, 11.521226, 11.670348, 13.172785, 13.700678, 68.424987], [25.153013, 25.416451, 28.015451, 28.445539, 28.784888, 29.213223, 29.588416, 33.752371, 34.035519, 164.483402], [4.994436, 5.024545, 5.637168, 5.796018, 5.807868, 5.847480, 5.865096, 6.038121, 6.753580, 62.419135], [22.292672, 23.308059, 25.495618, 25.496088, 26.283668, 26.725130, 26.771686, 30.229074, 30.684714, 154.335077], [1.558564, 1.559379, 1.597559, 1.654203, 1.683144, 1.715187, 1.754165, 1.976842, 3.121982, 43.488880], [11.005349, 11.917770, 12.464226, 12.892091, 13.033304, 13.210292, 13.525416, 15.625826, 15.818528, 41.135206]]
### 6
fourier: [[7.466864, 7.646257, 8.380044, 8.538570, 8.574614, 8.610271, 8.761657, 9.918177, 10.180156, 26.470521], [36.520770, 36.808566, 40.827331, 41.790638, 42.685818, 42.902476, 43.236549, 49.422550, 50.177684, 249.178692], [12.077205, 12.236558, 12.677998, 12.859381, 13.172578, 13.773469, 13.929089, 16.475061, 16.539231, 37.684819], [10.356839, 11.047466, 11.977763, 12.028211, 12.592562, 12.667701, 13.045670, 14.669441, 14.711608, 35.072298], [5.810417, 5.819915, 5.990483, 6.001547, 6.063467, 6.792487, 7.009255, 7.034186, 7.806869, 8.225343], [22.563536, 23.746940, 26.066187, 26.193617, 26.917759, 27.395435, 27.685901, 30.741019, 31.325814, 174.599231], [17.853937, 19.167145, 20.316718, 20.902312, 21.053094, 21.241934, 21.628725, 24.542781, 25.342704, 131.760127], [18.704348, 18.795435, 20.782326, 21.175930, 21.700571, 21.705257, 21.707481, 25.054354, 25.452835, 77.954004]]
### 8
fourier: [[22.446823, 22.585476, 22.860741, 23.498081, 24.756868, 25.223171, 25.711364, 30.244519, 30.371589, 132.955807]]
## 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: 4
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: [[11.704279, 11.719540, 11.807863, 12.504016, 13.120689, 15.176639, 15.972273, 17.500164, 21.376401, 21.562430], [24.650596, 24.750918, 25.608634, 26.441781, 28.636083, 29.440272, 31.572040, 33.240758, 38.494566, 268.771192], [18.998746, 19.102162, 19.509823, 19.971157, 20.547888, 20.566765, 21.796716, 22.544899, 24.181978, 50.403682], [30.130467, 31.837802, 32.031478, 32.728136, 33.875431, 34.467546, 34.639565, 34.964378, 37.533649, 91.086982], [20.943673, 21.964226, 22.682057, 24.384757, 24.789791, 25.108090, 28.619611, 31.199698, 34.003726, 173.907309], [16.684852, 17.170049, 18.198631, 19.150941, 19.561389, 21.406147, 23.059044, 24.560325, 27.910533, 197.321228], [22.266448, 22.344783, 23.168392, 23.819797, 26.288752, 31.881296, 32.567431, 35.389249, 42.430565, 255.395332], [19.574741, 20.118590, 21.428802, 21.934424, 22.255311, 22.285770, 24.064001, 27.188701, 28.645811, 56.462766]]
### 2
fourier: [[4.004274, 4.048813, 4.050646, 4.337492, 4.380282, 4.516337, 4.799201, 5.646925, 7.496996, 13.300518], [7.910885, 8.006494, 8.369290, 9.143984, 9.554402, 9.680096, 9.959474, 10.129160, 10.406087, 65.650966], [11.946508, 13.003277, 13.087084, 13.816531, 14.320275, 14.321377, 15.267667, 16.478763, 17.716189, 82.732144], [24.954871, 26.631378, 27.280934, 27.542991, 27.548265, 29.178746, 30.028828, 33.806013, 34.144711, 192.642141], [7.447895, 7.816682, 8.059372, 8.486079, 9.717127, 10.178429, 10.208536, 11.689137, 12.386921, 117.027921], [16.546168, 18.946531, 19.446371, 20.042549, 20.194510, 21.262643, 22.083372, 23.699661, 24.273355, 90.717836], [8.999043, 9.336248, 9.551393, 9.780929, 10.032599, 10.040531, 10.129396, 12.223628, 12.357930, 92.720619], [7.208448, 7.711182, 7.966207, 8.209231, 8.390547, 8.886880, 10.051433, 10.293854, 11.020982, 13.624063]]
### 4
fourier: [[19.861035, 21.359993, 23.103879, 23.339067, 24.273400, 24.325429, 25.022121, 27.747258, 28.052215, 131.562183], [9.376228, 10.039386, 10.820860, 10.864551, 10.886288, 11.509680, 11.693729, 12.916629, 12.983067, 89.156547], [9.959524, 10.043382, 10.474708, 10.957985, 11.222338, 11.521226, 11.670348, 13.172785, 13.700678, 68.424987], [25.153013, 25.416451, 28.015451, 28.445539, 28.784888, 29.213223, 29.588416, 33.752371, 34.035519, 164.483402], [4.994436, 5.024545, 5.637168, 5.796018, 5.807868, 5.847480, 5.865096, 6.038121, 6.753580, 62.419135], [22.292672, 23.308059, 25.495618, 25.496088, 26.283668, 26.725130, 26.771686, 30.229074, 30.684714, 154.335077], [1.558564, 1.559379, 1.597559, 1.654203, 1.683144, 1.715187, 1.754165, 1.976842, 3.121982, 43.488880], [11.005349, 11.917770, 12.464226, 12.892091, 13.033304, 13.210292, 13.525416, 15.625826, 15.818528, 41.135206]]
### 6
fourier: [[7.466864, 7.646257, 8.380044, 8.538570, 8.574614, 8.610271, 8.761657, 9.918177, 10.180156, 26.470521], [36.520770, 36.808566, 40.827331, 41.790638, 42.685818, 42.902476, 43.236549, 49.422550, 50.177684, 249.178692], [12.077205, 12.236558, 12.677998, 12.859381, 13.172578, 13.773469, 13.929089, 16.475061, 16.539231, 37.684819], [10.356839, 11.047466, 11.977763, 12.028211, 12.592562, 12.667701, 13.045670, 14.669441, 14.711608, 35.072298], [5.810417, 5.819915, 5.990483, 6.001547, 6.063467, 6.792487, 7.009255, 7.034186, 7.806869, 8.225343], [22.563536, 23.746940, 26.066187, 26.193617, 26.917759, 27.395435, 27.685901, 30.741019, 31.325814, 174.599231], [17.853937, 19.167145, 20.316718, 20.902312, 21.053094, 21.241934, 21.628725, 24.542781, 25.342704, 131.760127], [18.704348, 18.795435, 20.782326, 21.175930, 21.700571, 21.705257, 21.707481, 25.054354, 25.452835, 77.954004]]
### 8
fourier: [[22.446823, 22.585476, 22.860741, 23.498081, 24.756868, 25.223171, 25.711364, 30.244519, 30.371589, 132.955807]]
## 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": [11.704279390854028, 11.7195398679681, 11.807863385183516, 12.504016071658096, 13.120689193516235, 15.176638984242551, 15.972273315702921, 17.500164490402977, 21.37640057504177, 21.56243001132384]}, "1": {"fourier": [24.650596498036567, 24.75091755960015, 25.60863416561508, 26.4417806675859, 28.636083023046236, 29.440271655583384, 31.572040401606838, 33.240757958890384, 38.49456631380392, 268.77119195461273]}, "2": {"fourier": [18.998746069315903, 19.102161753044022, 19.50982346658379, 19.971157171739527, 20.547887799299282, 20.5667650357829, 21.796715766540608, 22.5448985462915, 24.18197789879776, 50.403681591153145]}, "3": {"fourier": [30.1304666235615, 31.83780228028879, 32.03147808122507, 32.72813624578574, 33.87543074760718, 34.467545965108826, 34.63956496535788, 34.96437779855643, 37.53364896639413, 91.08698207139969]}, "4": {"fourier": [20.94367306966089, 21.96422583678453, 22.682057206252473, 24.384757217967383, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.108684, 0.178562, 0.287673, -0.298046, 0.020836], [-0.391835, -0.608874, -0.231201, -0.026997, -0.301359], [0.344491, 0.5046, -0.002437, -0.31113, -0.224597], [-0.669664, -0.787508, 0.05155, 0.255846, 0.158975], [0.638238, -0.061868, 0.390913, 0.242436, -0.376653], [-0.271251, -0.118668, -0.229534, -0.396008, -0.162854], [-0.417356, -0.414526, 0.186337, -0.632784, -0.010032], [0.610703, 0.007141, 0.153652, -0.075951, -0.024335]], "network.0.bias": [-0.210588, -0.476704, 0.161142, 0.403896, 0.378861, -0.109121, -0.582887, -0.27371], "network.2.weight": [[-0.356849, -0.408678, 0.171815, -0.163938, 0.271354, -0.24884, -0.370478, -0.229816], [-0.110429, -0.202773, 0.008035, -0.600608, -0.136201, -0.246102, -0.228677, -0.252068], [0.287764, -0.546752, 0.103925, -0.186332, 0.204866, 0.339809, -0.233348, 0.248451], [0.153311, -0.516136, 0.728856, -0.458118, 0.421599, -0.103238, 0.339894, 0.288876], [-0.043764, -0.073362, 0.138879, -0.278688, -0.293361, -0.069879, -0.091781, -0.193633], [0.073537, 0.208126, 0.26089, -0.097512, 0.225122, -0.345088, 0.032242, 0.517926], [0.191565, -0.103758, -0.226692, 0.05452, -0.51925, -0.045201, 0.252856, 0.263241], [-0.03136, 0.032852, -0.037267, 0.105891, -0.102791, 0.24999, -0.23554, -0.257385]], "network.2.bias": [-0.099557, -0.014356, 0.143309, 0.54721, -0.566854, -0.067901, -0.151607, 0.272224], "network.4.weight": [[0.195575, -0.202663, 0.578331, 0.205067, -0.223952, 0.477257, 0.037946, 0.156031], [0.142369, -0.235253, -0.224181, -0.208409, 0.091614, -0.115633, -0.004558, -0.109084], [0.275759, 0.113894, -0.0034, 0.429736, 0.032344, -0.098684, 0.098369, -0.362515], [0.073688, -0.199907, 0.435063, 0.535288, 0.062127, 0.352593, 0.465703, -0.079383], [-0.326367, -0.145688, -0.002769, -0.282238, -0.095647, 0.167232, 0.103788, 0.044453], [0.157867, 0.437172, 0.596738, 0.393818, 0.174116, 0.319762, 0.105103, 0.284897], [-0.297078, -0.219387, 0.337707, -0.17222, 0.008778, 0.068895, -0.320222, 0.37938], [-0.273365, -0.255787, -0.089315, -0.214323, -0.192972, -0.230168, -0.066145, 0.477707]], "network.4.bias": [-0.067134, -0.232675, -0.078321, -0.097522, -0.187538, -0.084585, 0.489173, 0.324876], "network.6.weight": [[0.03746, -0.221534, 0.048754, -0.403914, 0.09181, 0.059832, 0.173874, -0.019827], [0.543319, -0.090188, 0.239175, 0.650303, -0.197501, 0.286589, 0.056782, -0.409598], [-0.044634, 0.183393, 0.232516, -0.319132, -0.190142, -0.200587, 0.480548, 0.643258], [0.383099, -0.315932, -0.155044, -0.108059, -0.043165, 0.306251, -0.02037, -0.138985], [-0.047132, 0.250815, -0.162226, -0.051262, -0.187148, -0.077879, 0.52339, 0.233675], [-0.300159, 0.247033, -0.328302, -0.157604, -0.051491, -0.430685, -0.413562, -0.018579], [0.170475, 0.195654, 0.426086, 0.121954, -0.014102, 0.331786, -0.2394, -0.212142], [-0.37339, 0.005013, 0.20434, -0.54186, -0.024831, 0.028896, 0.491401, 0.06951]], "network.6.bias": [0.169456, 0.120162, 0.097654, -0.353366, 0.159053, -0.018033, 0.230151, 0.221087], "network.8.weight": [[0.207131, -0.345628, 0.309456, -0.099804, 0.282721, 0.103909, -0.355719, 0.329256]], "network.8.bias": [-0.090129]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.701655924320221, "train_acc": 0.425, "val_loss": 0.7090466022491455, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6794605255126953, "train_acc": 0.57, "val_loss": 0.7264039516448975, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6659944355487823, "train_acc": 0.57, "val_loss": 0.6439076066017151, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6076828837394714, "train_acc": 0.53, "val_loss": 0.4327657222747803, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4007999449968338, "train_acc": 0.855, "val_loss": 0.38895827531814575, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.25671156495809555, "train_acc": 0.895, "val_loss": 0.47780516743659973, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.26785123348236084, "train_acc": 0.86, "val_loss": 0.4616023302078247, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.19601432979106903, "train_acc": 0.925, "val_loss": 0.3967897891998291, "val_acc": 0.86}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7090466022491455, "final_val_loss": 0.6439076066017151, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.4327657222747803, "final_val_loss": 0.3967897891998291, "initial_val_acc": 0.86, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 3}, "improvement": 0.39999999999999997, "first_improvement_epoch": 2}}
|
160
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.54, "improved_accuracy": 0.86, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2034, "learning_rate": 0.07562765705500343, "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: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.8.weight": [
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0.806118
]
],
"network.8.bias": [
0.085827
]
}
## Activation Signature
### 0
fourier: [[47.870177, 50.900432, 52.527717, 53.021503, 56.130708, 58.089829, 58.971340, 58.980838, 60.128828, 355.034894], [50.163400, 50.658953, 50.780541, 52.139983, 53.331815, 58.481561, 60.395312, 62.373894, 67.329946, 324.442056], [30.008604, 33.465581, 34.917180, 35.573890, 36.870220, 37.423366, 40.758796, 42.632727, 51.737931, 359.753171], [36.911329, 37.033966, 38.999159, 39.525947, 41.109014, 42.192316, 44.641180, 45.508688, 48.694562, 50.212105], [29.136509, 29.534088, 30.036344, 33.663796, 33.790901, 37.055452, 37.853410, 38.194406, 41.201612, 49.420318], [20.988353, 21.308283, 22.188098, 23.474818, 28.157323, 28.663480, 32.711062, 35.180371, 36.292167, 232.038754]]
### 2
fourier: [[62.504964, 64.382620, 65.845305, 67.304569, 67.715904, 68.693234, 75.870190, 76.392930, 80.922738, 348.617646], [16.058954, 17.137404, 17.398024, 18.936694, 23.574867, 24.937240, 25.870167, 27.719281, 27.919698, 210.313873], [47.744337, 49.121097, 53.388639, 55.040588, 55.744092, 58.635883, 60.460206, 64.993123, 68.380451, 388.246541], [19.245171, 25.230578, 25.976139, 27.101636, 27.291637, 28.067780, 29.618639, 31.140589, 31.620656, 259.014967], [48.391128, 53.627947, 55.718183, 57.154310, 60.248054, 60.735040, 62.940679, 64.260158, 68.021157, 415.783554], [11.530810, 12.121200, 12.802747, 13.143231, 13.284054, 13.458311, 13.932810, 14.364406, 14.797273, 146.085372]]
### 4
fourier: [[46.180203, 47.001382, 47.327219, 47.340272, 49.043565, 53.543242, 54.975299, 58.888837, 61.224177, 218.856356], [27.853936, 28.349237, 28.545768, 28.553640, 29.580994, 32.295009, 33.158764, 35.519245, 36.927824, 94.892147], [33.117270, 33.706162, 33.939830, 33.949191, 35.170677, 38.397538, 39.424508, 42.231029, 43.905776, 211.622344], [31.942343, 32.510343, 32.735721, 32.744751, 33.922900, 37.035279, 38.025816, 40.732767, 42.348098, 206.745736], [14.145240, 14.396771, 14.496577, 14.500575, 15.022303, 16.400579, 16.839225, 18.037963, 18.753290, 122.496313], [62.178812, 63.284478, 63.723199, 63.740773, 66.034153, 72.092695, 74.020870, 79.290207, 82.434604, 378.718356]]
### 6
fourier: [[65.060023, 65.403810, 65.979510, 66.889589, 67.933847, 74.636981, 75.851647, 82.936717, 86.091880, 387.606824], [13.974104, 14.131746, 14.259727, 14.317485, 15.032258, 16.239712, 17.242084, 17.450273, 18.476206, 134.328832], [7.461668, 7.487143, 8.562904, 8.732793, 9.297927, 9.738355, 9.817447, 10.237198, 10.600346, 91.834861], [27.415471, 27.932290, 28.044825, 28.166356, 29.351918, 31.892402, 33.170315, 34.741308, 36.335615, 180.143731], [62.693339, 63.394360, 63.401520, 64.711680, 65.432301, 71.719080, 71.883006, 80.775270, 83.700117, 373.931885], [27.355153, 27.897681, 29.139372, 29.537001, 29.793045, 30.543386, 31.054647, 36.761113, 38.158569, 72.292075]]
### 8
fourier: [[128.052735, 129.682572, 129.757074, 130.827261, 133.899869, 143.988399, 146.557776, 165.886946, 171.314385, 716.925666]]
## 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: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.052401,
1.048036,
0.263106,
-0.369729,
0.268811
],
[
1.369919,
0.817931,
-0.336341,
0.197206,
0.478935
],
[
-0.444828,
-0.662465,
-0.243536,
-0.284914,
-0.528918
],
[
-1.163435,
-0.577349,
0.472856,
0.451061,
0.253672
],
[
-0.848179,
-0.710551,
0.771589,
0.258732,
-0.079047
],
[
-0.329884,
-0.262567,
-0.422237,
-0.042445,
-0.429754
]
],
"network.0.bias": [
0.637154,
0.098666,
-0.464503,
0.029022,
0.268164,
-0.186175
],
"network.2.weight": [
[
0.781659,
0.391989,
0.312958,
-0.542985,
-0.355099,
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],
[
-0.164826,
-0.271117,
-0.149744,
-0.615009,
-0.033083,
0.013783
],
[
-0.569843,
-0.500443,
-0.383094,
-0.306167,
0.205941,
0.316781
],
[
-0.382992,
-0.127939,
-0.0838,
-0.80798,
-0.278464,
-0.403017
],
[
-0.533963,
-0.584211,
-0.318059,
0.164397,
-0.600372,
0.294628
],
[
0.10342,
-0.290555,
-0.189366,
-0.545373,
-0.175439,
0.224554
]
],
"network.2.bias": [
0.188829,
-0.071422,
-0.121215,
0.144201,
0.044053,
-0.284277
],
"network.4.weight": [
[
-0.753174,
-0.108298,
-0.31509,
-0.630522,
0.058639,
-0.271041
],
[
-0.454283,
0.238537,
-0.245666,
-0.874901,
0.235252,
0.070297
],
[
-0.540125,
0.312551,
0.243699,
-0.452894,
-0.085203,
0.386985
],
[
-0.520962,
-0.303479,
0.149471,
-0.085811,
-0.126038,
0.148696
],
[
-0.230701,
0.336935,
-0.029694,
-0.361614,
0.210564,
-0.387274
],
[
1.014103,
-0.070239,
0.19501,
0.364349,
-0.326296,
-0.191294
]
],
"network.4.bias": [
0.611494,
0.78119,
-0.168963,
-0.192205,
-0.428912,
0.110458
],
"network.6.weight": [
[
-0.101959,
-0.350309,
-0.091309,
0.238609,
-0.045846,
1.025562
],
[
0.335766,
-0.344048,
-0.262446,
0.315673,
-0.352388,
-0.229771
],
[
-0.385016,
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-0.102905,
-0.40616,
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],
[
0.192483,
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-0.201877,
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-0.064666,
-0.446113
],
[
-0.228978,
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-0.002581,
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0.97275
],
[
0.600904,
1.008304,
0.551492,
0.192717,
-0.083029,
-0.397501
]
],
"network.6.bias": [
0.086024,
-0.488117,
-0.320331,
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0.274916,
0.557281
],
"network.8.weight": [
[
-0.904276,
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-0.01333,
0.046103,
-1.066121,
0.806118
]
],
"network.8.bias": [
0.085827
]
}
## Activation Signature
### 0
fourier: [[47.870177, 50.900432, 52.527717, 53.021503, 56.130708, 58.089829, 58.971340, 58.980838, 60.128828, 355.034894], [50.163400, 50.658953, 50.780541, 52.139983, 53.331815, 58.481561, 60.395312, 62.373894, 67.329946, 324.442056], [30.008604, 33.465581, 34.917180, 35.573890, 36.870220, 37.423366, 40.758796, 42.632727, 51.737931, 359.753171], [36.911329, 37.033966, 38.999159, 39.525947, 41.109014, 42.192316, 44.641180, 45.508688, 48.694562, 50.212105], [29.136509, 29.534088, 30.036344, 33.663796, 33.790901, 37.055452, 37.853410, 38.194406, 41.201612, 49.420318], [20.988353, 21.308283, 22.188098, 23.474818, 28.157323, 28.663480, 32.711062, 35.180371, 36.292167, 232.038754]]
### 2
fourier: [[62.504964, 64.382620, 65.845305, 67.304569, 67.715904, 68.693234, 75.870190, 76.392930, 80.922738, 348.617646], [16.058954, 17.137404, 17.398024, 18.936694, 23.574867, 24.937240, 25.870167, 27.719281, 27.919698, 210.313873], [47.744337, 49.121097, 53.388639, 55.040588, 55.744092, 58.635883, 60.460206, 64.993123, 68.380451, 388.246541], [19.245171, 25.230578, 25.976139, 27.101636, 27.291637, 28.067780, 29.618639, 31.140589, 31.620656, 259.014967], [48.391128, 53.627947, 55.718183, 57.154310, 60.248054, 60.735040, 62.940679, 64.260158, 68.021157, 415.783554], [11.530810, 12.121200, 12.802747, 13.143231, 13.284054, 13.458311, 13.932810, 14.364406, 14.797273, 146.085372]]
### 4
fourier: [[46.180203, 47.001382, 47.327219, 47.340272, 49.043565, 53.543242, 54.975299, 58.888837, 61.224177, 218.856356], [27.853936, 28.349237, 28.545768, 28.553640, 29.580994, 32.295009, 33.158764, 35.519245, 36.927824, 94.892147], [33.117270, 33.706162, 33.939830, 33.949191, 35.170677, 38.397538, 39.424508, 42.231029, 43.905776, 211.622344], [31.942343, 32.510343, 32.735721, 32.744751, 33.922900, 37.035279, 38.025816, 40.732767, 42.348098, 206.745736], [14.145240, 14.396771, 14.496577, 14.500575, 15.022303, 16.400579, 16.839225, 18.037963, 18.753290, 122.496313], [62.178812, 63.284478, 63.723199, 63.740773, 66.034153, 72.092695, 74.020870, 79.290207, 82.434604, 378.718356]]
### 6
fourier: [[65.060023, 65.403810, 65.979510, 66.889589, 67.933847, 74.636981, 75.851647, 82.936717, 86.091880, 387.606824], [13.974104, 14.131746, 14.259727, 14.317485, 15.032258, 16.239712, 17.242084, 17.450273, 18.476206, 134.328832], [7.461668, 7.487143, 8.562904, 8.732793, 9.297927, 9.738355, 9.817447, 10.237198, 10.600346, 91.834861], [27.415471, 27.932290, 28.044825, 28.166356, 29.351918, 31.892402, 33.170315, 34.741308, 36.335615, 180.143731], [62.693339, 63.394360, 63.401520, 64.711680, 65.432301, 71.719080, 71.883006, 80.775270, 83.700117, 373.931885], [27.355153, 27.897681, 29.139372, 29.537001, 29.793045, 30.543386, 31.054647, 36.761113, 38.158569, 72.292075]]
### 8
fourier: [[128.052735, 129.682572, 129.757074, 130.827261, 133.899869, 143.988399, 146.557776, 165.886946, 171.314385, 716.925666]]
## 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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28.166356201900168, 29.35191796159984, 31.892402343695245, 33.17031492085097, 34.741307950897436, 36.335614659655434, 180.1437308192253]}, "4": {"fourier": [62.69333878342491, 63.39435955719999, 63.40152045892422, 64.7116797300455, 65.43230101872331, 71.71908043397238, 71.88300554586915, 80.77526986271565, 83.70011718059105, 373.9318851828575]}, "5": {"fourier": [27.355152885786215, 27.89768110262277, 29.13937154934367, 29.537000756654738, 29.793044648590207, 30.543386293968936, 31.05464728065939, 36.76111277091801, 38.15856908249684, 72.29207503795624]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [128.05273500179686, 129.68257173763942, 129.7570738756251, 130.8272606568036, 133.89986864004766, 143.988399254114, 146.55777565384108, 165.88694628038454, 171.31438472377448, 716.9256655871868]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "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": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.052401, 1.048036, 0.263106, -0.369729, 0.268811], [1.369919, 0.817931, -0.336341, 0.197206, 0.478935], [-0.444828, -0.662465, -0.243536, -0.284914, -0.528918], [-1.163435, -0.577349, 0.472856, 0.451061, 0.253672], [-0.848179, -0.710551, 0.771589, 0.258732, -0.079047], [-0.329884, -0.262567, -0.422237, -0.042445, -0.429754]], "network.0.bias": [0.637154, 0.098666, -0.464503, 0.029022, 0.268164, -0.186175], "network.2.weight": [[0.781659, 0.391989, 0.312958, -0.542985, -0.355099, -0.369726], [-0.164826, -0.271117, -0.149744, -0.615009, -0.033083, 0.013783], [-0.569843, -0.500443, -0.383094, -0.306167, 0.205941, 0.316781], [-0.382992, -0.127939, -0.0838, -0.80798, -0.278464, -0.403017], [-0.533963, -0.584211, -0.318059, 0.164397, -0.600372, 0.294628], [0.10342, -0.290555, -0.189366, -0.545373, -0.175439, 0.224554]], "network.2.bias": [0.188829, -0.071422, -0.121215, 0.144201, 0.044053, -0.284277], "network.4.weight": [[-0.753174, -0.108298, -0.31509, -0.630522, 0.058639, -0.271041], [-0.454283, 0.238537, -0.245666, -0.874901, 0.235252, 0.070297], [-0.540125, 0.312551, 0.243699, -0.452894, -0.085203, 0.386985], [-0.520962, -0.303479, 0.149471, -0.085811, -0.126038, 0.148696], [-0.230701, 0.336935, -0.029694, -0.361614, 0.210564, -0.387274], [1.014103, -0.070239, 0.19501, 0.364349, -0.326296, -0.191294]], "network.4.bias": [0.611494, 0.78119, -0.168963, -0.192205, -0.428912, 0.110458], "network.6.weight": [[-0.101959, -0.350309, -0.091309, 0.238609, -0.045846, 1.025562], [0.335766, -0.344048, -0.262446, 0.315673, -0.352388, -0.229771], [-0.385016, -0.203259, -0.102905, -0.40616, -0.36585, -0.143414], [0.192483, -0.244027, -0.201877, -0.413443, -0.064666, -0.446113], [-0.228978, -0.78871, -0.331869, -0.002581, -0.397565, 0.97275], [0.600904, 1.008304, 0.551492, 0.192717, -0.083029, -0.397501]], "network.6.bias": [0.086024, -0.488117, -0.320331, -0.0919, 0.274916, 0.557281], "network.8.weight": [[-0.904276, -0.186559, -0.01333, 0.046103, -1.066121, 0.806118]], "network.8.bias": [0.085827]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.684227705001831, "train_acc": 0.575, "val_loss": 0.6849209070205688, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6722431182861328, "train_acc": 0.575, "val_loss": 0.6335200071334839, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6359668672084808, "train_acc": 0.56, "val_loss": 0.5072774887084961, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5155259966850281, "train_acc": 0.795, "val_loss": 0.40779799222946167, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.41397662460803986, "train_acc": 0.825, "val_loss": 0.42647430300712585, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3892263323068619, "train_acc": 0.835, "val_loss": 0.36854100227355957, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3719714879989624, "train_acc": 0.84, "val_loss": 0.5308750867843628, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.44024844467639923, "train_acc": 0.83, "val_loss": 0.43530142307281494, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.4187282621860504, "train_acc": 0.84, "val_loss": 0.3306569755077362, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.437666654586792, "train_acc": 0.825, "val_loss": 0.42794880270957947, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.41253843903541565, "train_acc": 0.81, "val_loss": 0.4512501657009125, "val_acc": 0.78}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.4299234449863434, "train_acc": 0.79, "val_loss": 0.41512757539749146, "val_acc": 0.8}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6849209070205688, "final_val_loss": 0.6335200071334839, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5072774887084961, "final_val_loss": 0.41512757539749146, "initial_val_acc": 0.84, "final_val_acc": 0.8, "best_val_acc": 0.86, "best_epoch": 8}, "improvement": 0.31999999999999995, "first_improvement_epoch": 1}}
|
161
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.56, "improved_accuracy": 0.96, "improvement": 0.3999999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7155, "learning_rate": 0.028166292233601273, "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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[20.734212, 22.689147, 24.734558, 25.603657, 26.323333, 26.460455, 27.136001, 29.578942, 33.027406, 139.744339], [24.881457, 25.642579, 26.172405, 26.383308, 26.996651, 27.233852, 27.450508, 29.745829, 36.878965, 155.053711], [13.595625, 13.599451, 13.690922, 13.767885, 14.345736, 14.853885, 18.755183, 19.568046, 21.632881, 22.682435], [21.570959, 21.995288, 22.707101, 23.675702, 23.939602, 27.341223, 28.649280, 33.135165, 37.119270, 218.732026], [8.976295, 9.258181, 9.436601, 9.486522, 10.248723, 11.108136, 11.961072, 13.531168, 13.895908, 44.961760], [24.095713, 24.500102, 27.424375, 29.189786, 30.003268, 30.538047, 31.258189, 36.878356, 41.714097, 119.782369]]
### 2
fourier: [[18.715787, 19.235019, 19.437018, 20.461888, 20.839625, 21.030143, 21.672876, 25.180863, 25.670954, 86.744146], [27.595135, 27.872776, 28.376939, 30.077532, 30.488715, 31.991039, 32.239564, 32.940927, 33.711698, 202.513656], [9.523813, 9.854365, 9.965489, 10.194913, 10.260857, 10.523829, 11.498674, 11.615442, 13.280194, 69.506322], [7.323728, 7.548075, 7.753053, 8.272590, 8.476495, 9.509171, 9.629606, 10.071353, 10.367970, 36.058704], [23.512590, 24.330010, 24.563433, 25.797961, 26.339924, 26.579372, 27.665826, 30.407419, 32.908866, 183.252499], [6.521495, 7.095252, 7.642361, 7.673093, 7.898697, 8.414216, 9.133022, 9.511259, 9.708904, 23.004129]]
### 4
fourier: [[1.952271, 1.985980, 1.989048, 2.241918, 2.616506, 2.839305, 2.867221, 3.080422, 3.428312, 58.425519], [24.667282, 25.285354, 25.734082, 26.360160, 26.946953, 28.453662, 28.755357, 30.679139, 31.866024, 155.110803], [8.531739, 8.604962, 8.848502, 9.519063, 9.665697, 9.797453, 9.886792, 10.279512, 12.786551, 53.993079], [36.068379, 37.029137, 38.201470, 39.688431, 40.365676, 40.820515, 41.707032, 43.131030, 46.097445, 272.470285], [30.647087, 31.342995, 31.622100, 32.676103, 34.264082, 34.468061, 34.627097, 37.380793, 37.692377, 224.992962], [30.761356, 31.218926, 31.661870, 32.439876, 34.160343, 35.149883, 35.738246, 37.925354, 38.197507, 218.837891]]
### 6
fourier: [[1.669395, 1.670350, 1.694034, 1.762960, 1.766732, 1.878462, 1.883552, 1.955252, 2.097276, 41.155082], [47.406503, 47.481300, 47.552341, 50.100905, 51.674034, 53.067827, 54.018253, 57.139707, 58.321817, 366.246283], [52.022596, 52.649940, 52.914172, 55.636669, 57.200556, 58.404776, 59.402975, 62.887257, 64.480131, 389.139862], [14.281666, 14.438219, 14.665926, 15.398178, 15.652230, 16.117839, 16.533220, 17.023920, 18.182185, 128.369702], [26.514935, 26.824924, 27.046503, 28.191244, 29.379402, 29.722011, 30.208712, 32.236544, 32.625972, 215.057209], [10.122272, 10.396797, 10.538804, 11.052464, 11.165009, 11.578779, 11.996017, 12.172710, 13.504449, 94.425253]]
### 8
fourier: [[3.097871, 3.116229, 3.116907, 3.318114, 3.318304, 3.531211, 3.660865, 3.717823, 4.054257, 64.560478], [2.181178, 2.285482, 2.320983, 2.436719, 2.551314, 2.628386, 2.630724, 2.641300, 2.905336, 37.287226], [23.609127, 23.635639, 23.674259, 24.928311, 25.750702, 26.409829, 26.861151, 28.465698, 28.957732, 183.225606], [40.004460, 40.395550, 40.525852, 42.687237, 43.824299, 44.922214, 45.760287, 48.290200, 49.705291, 272.091441], [7.168025, 7.243020, 7.315821, 7.567488, 7.934349, 8.114748, 8.215072, 8.703348, 8.810884, 79.724150], [40.451767, 40.771344, 40.863801, 42.971464, 44.409645, 45.280974, 45.969777, 48.889323, 49.605403, 330.036531]]
### 10
fourier: [[0.780774, 0.788838, 0.796057, 0.842796, 0.851663, 0.883220, 0.905150, 0.941847, 0.986883, 51.073399], [18.019145, 18.172059, 18.243314, 19.215252, 19.751384, 20.221518, 20.575784, 21.767578, 22.259702, 122.660679], [0.479136, 0.479642, 0.492456, 0.505429, 0.531274, 0.548156, 0.565785, 0.576112, 0.643885, 32.212682], [20.345854, 20.525330, 20.625256, 21.744265, 22.281934, 22.865737, 23.296585, 24.571848, 25.239516, 116.259195], [2.694218, 2.712116, 2.721576, 2.800004, 2.972797, 2.978447, 3.012818, 3.143194, 3.289621, 45.542753], [51.159975, 51.594468, 51.797735, 54.558327, 56.077166, 57.414594, 58.421954, 61.802209, 63.204994, 412.456550]]
### 12
fourier: [[27.622532, 27.624199, 27.794237, 29.451081, 30.087242, 30.890641, 31.422439, 33.068741, 33.925660, 175.871277]]
## 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: 6
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: [[20.734212, 22.689147, 24.734558, 25.603657, 26.323333, 26.460455, 27.136001, 29.578942, 33.027406, 139.744339], [24.881457, 25.642579, 26.172405, 26.383308, 26.996651, 27.233852, 27.450508, 29.745829, 36.878965, 155.053711], [13.595625, 13.599451, 13.690922, 13.767885, 14.345736, 14.853885, 18.755183, 19.568046, 21.632881, 22.682435], [21.570959, 21.995288, 22.707101, 23.675702, 23.939602, 27.341223, 28.649280, 33.135165, 37.119270, 218.732026], [8.976295, 9.258181, 9.436601, 9.486522, 10.248723, 11.108136, 11.961072, 13.531168, 13.895908, 44.961760], [24.095713, 24.500102, 27.424375, 29.189786, 30.003268, 30.538047, 31.258189, 36.878356, 41.714097, 119.782369]]
### 2
fourier: [[18.715787, 19.235019, 19.437018, 20.461888, 20.839625, 21.030143, 21.672876, 25.180863, 25.670954, 86.744146], [27.595135, 27.872776, 28.376939, 30.077532, 30.488715, 31.991039, 32.239564, 32.940927, 33.711698, 202.513656], [9.523813, 9.854365, 9.965489, 10.194913, 10.260857, 10.523829, 11.498674, 11.615442, 13.280194, 69.506322], [7.323728, 7.548075, 7.753053, 8.272590, 8.476495, 9.509171, 9.629606, 10.071353, 10.367970, 36.058704], [23.512590, 24.330010, 24.563433, 25.797961, 26.339924, 26.579372, 27.665826, 30.407419, 32.908866, 183.252499], [6.521495, 7.095252, 7.642361, 7.673093, 7.898697, 8.414216, 9.133022, 9.511259, 9.708904, 23.004129]]
### 4
fourier: [[1.952271, 1.985980, 1.989048, 2.241918, 2.616506, 2.839305, 2.867221, 3.080422, 3.428312, 58.425519], [24.667282, 25.285354, 25.734082, 26.360160, 26.946953, 28.453662, 28.755357, 30.679139, 31.866024, 155.110803], [8.531739, 8.604962, 8.848502, 9.519063, 9.665697, 9.797453, 9.886792, 10.279512, 12.786551, 53.993079], [36.068379, 37.029137, 38.201470, 39.688431, 40.365676, 40.820515, 41.707032, 43.131030, 46.097445, 272.470285], [30.647087, 31.342995, 31.622100, 32.676103, 34.264082, 34.468061, 34.627097, 37.380793, 37.692377, 224.992962], [30.761356, 31.218926, 31.661870, 32.439876, 34.160343, 35.149883, 35.738246, 37.925354, 38.197507, 218.837891]]
### 6
fourier: [[1.669395, 1.670350, 1.694034, 1.762960, 1.766732, 1.878462, 1.883552, 1.955252, 2.097276, 41.155082], [47.406503, 47.481300, 47.552341, 50.100905, 51.674034, 53.067827, 54.018253, 57.139707, 58.321817, 366.246283], [52.022596, 52.649940, 52.914172, 55.636669, 57.200556, 58.404776, 59.402975, 62.887257, 64.480131, 389.139862], [14.281666, 14.438219, 14.665926, 15.398178, 15.652230, 16.117839, 16.533220, 17.023920, 18.182185, 128.369702], [26.514935, 26.824924, 27.046503, 28.191244, 29.379402, 29.722011, 30.208712, 32.236544, 32.625972, 215.057209], [10.122272, 10.396797, 10.538804, 11.052464, 11.165009, 11.578779, 11.996017, 12.172710, 13.504449, 94.425253]]
### 8
fourier: [[3.097871, 3.116229, 3.116907, 3.318114, 3.318304, 3.531211, 3.660865, 3.717823, 4.054257, 64.560478], [2.181178, 2.285482, 2.320983, 2.436719, 2.551314, 2.628386, 2.630724, 2.641300, 2.905336, 37.287226], [23.609127, 23.635639, 23.674259, 24.928311, 25.750702, 26.409829, 26.861151, 28.465698, 28.957732, 183.225606], [40.004460, 40.395550, 40.525852, 42.687237, 43.824299, 44.922214, 45.760287, 48.290200, 49.705291, 272.091441], [7.168025, 7.243020, 7.315821, 7.567488, 7.934349, 8.114748, 8.215072, 8.703348, 8.810884, 79.724150], [40.451767, 40.771344, 40.863801, 42.971464, 44.409645, 45.280974, 45.969777, 48.889323, 49.605403, 330.036531]]
### 10
fourier: [[0.780774, 0.788838, 0.796057, 0.842796, 0.851663, 0.883220, 0.905150, 0.941847, 0.986883, 51.073399], [18.019145, 18.172059, 18.243314, 19.215252, 19.751384, 20.221518, 20.575784, 21.767578, 22.259702, 122.660679], [0.479136, 0.479642, 0.492456, 0.505429, 0.531274, 0.548156, 0.565785, 0.576112, 0.643885, 32.212682], [20.345854, 20.525330, 20.625256, 21.744265, 22.281934, 22.865737, 23.296585, 24.571848, 25.239516, 116.259195], [2.694218, 2.712116, 2.721576, 2.800004, 2.972797, 2.978447, 3.012818, 3.143194, 3.289621, 45.542753], [51.159975, 51.594468, 51.797735, 54.558327, 56.077166, 57.414594, 58.421954, 61.802209, 63.204994, 412.456550]]
### 12
fourier: [[27.622532, 27.624199, 27.794237, 29.451081, 30.087242, 30.890641, 31.422439, 33.068741, 33.925660, 175.871277]]
## 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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[2.694217947750763, 2.7121162205367453, 2.721575829507765, 2.800003676288286, 2.9727967702360045, 2.978447400177682, 3.0128177516602115, 3.1431935128378883, 3.2896209528290874, 45.542753130197525]}, "5": {"fourier": [51.15997530876871, 51.594467818255836, 51.79773498493199, 54.55832731538734, 56.0771664978422, 57.41459449384234, 58.42195438921841, 61.80220889749209, 63.20499402348231, 412.4565500020981]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [27.622532179850882, 27.62419915851744, 27.79423672701133, 29.45108109556138, 30.08724174563926, 30.890641084382683, 31.42243928450052, 33.068740750730896, 33.9256599215949, 175.8712765276432]}}, "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": 6, "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": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.223059, 0.442352, 0.51311, -0.221295, -0.15408], [0.271394, 0.654347, 0.354009, -0.229958, 0.117746], [0.184001, -0.422062, 0.105343, -0.067777, 0.34938], [-0.320919, 0.114208, -0.42646, -0.408195, -0.407948], [-0.127465, -0.161369, -0.07733, -0.100799, 0.311049], [0.467087, 0.312686, 0.40674, -0.541401, 0.153391]], "network.0.bias": [0.061823, -0.198853, -0.060288, 0.030213, -0.052836, 0.302056], "network.2.weight": [[0.090787, 0.323684, -0.010153, 0.28196, -0.478744, 0.407543], [0.443779, 0.5347, -0.499077, 0.216874, -0.226793, 0.245727], [-0.192303, 0.05954, -0.274978, 0.28827, -0.130834, -0.229108], [-0.548374, 0.150679, 0.290984, -0.133314, -0.05183, 0.049213], [0.451462, 0.315601, 0.024611, -0.022083, -0.188494, 0.306316], [0.131324, 0.460507, -0.0015, -0.080409, 0.108235, -0.389531]], "network.2.bias": [-0.348036, 0.378081, -0.098497, 0.051742, 0.2671, -0.183331], "network.4.weight": [[0.342123, -0.29418, -0.274637, 0.102225, -0.04066, 0.278659], [0.219488, 0.454809, 0.017976, -0.007186, 0.38146, -0.099967], [0.235062, -0.001298, 0.469407, -0.329791, -0.540089, -0.000707], [0.201834, 0.744226, -0.109792, 0.152364, 0.48432, 0.258431], [0.494781, 0.477233, 0.164377, -0.687142, 0.281768, 0.395644], [0.574245, 0.653536, -0.072827, -0.296972, 0.123809, -0.027052]], "network.4.bias": [-0.363783, -0.283106, 0.270104, 0.0459, 0.222022, 0.112535], "network.6.weight": [[-0.07339, 0.080848, 0.097921, -0.127538, -0.066971, 0.100583], [0.597457, 0.376284, 0.066093, 0.320801, 0.229454, 0.610961], [0.32402, 0.473062, 0.110564, 0.427716, 0.562735, 0.235837], [0.167069, -0.032238, 0.230337, -0.336688, 0.208798, -0.244516], [-0.013842, 0.006837, 0.16743, -0.176415, -0.348467, -0.305793], [0.296078, 0.163413, -0.687785, 0.247451, -0.233412, 0.135952]], "network.6.bias": [-0.289867, 0.385557, 0.226635, -0.282318, -0.254663, 0.280768], "network.8.weight": [[0.205056, -0.192847, 0.171463, -0.369912, 0.042879, -0.285992], [0.120891, -0.330356, 0.204544, 0.156227, -0.15039, 0.255384], [0.190671, -0.479555, -0.036128, -0.221597, 0.276067, 0.09925], [0.025522, 0.31158, 0.432902, 0.2602, -0.082451, 0.268061], [0.168246, -0.287616, 0.073193, -0.246627, -0.348788, 0.248184], [0.348413, 0.231791, 0.653734, -0.125949, -0.358433, -0.449172]], "network.8.bias": [-0.373877, -0.222292, -0.032256, -0.397721, -0.292256, 0.368478], "network.10.weight": [[0.07993, 0.200956, -0.208478, -0.0461, 0.060097, 0.026229], [-0.427614, 0.18743, -0.141164, 0.255364, -0.209796, 0.193244], [-0.083554, 0.21121, 0.032258, 0.10355, -0.068433, -0.090622], [-0.106028, 0.072205, 0.275839, 0.453632, 0.278485, 0.054947], [0.215725, 0.068479, -0.136024, 0.28571, 0.287276, -0.349216], [-0.216069, -0.158937, 0.015707, 0.733216, 0.162727, 0.540572]], "network.10.bias": [-0.524247, -0.118021, -0.33876, -0.281612, -0.089482, 0.383119], "network.12.weight": [[0.008679, -0.140718, 0.267879, -0.273785, 0.034504, -0.380866]], "network.12.bias": [0.343474]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7106436491012573, "train_acc": 0.46, "val_loss": 0.7020980715751648, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6971960365772247, "train_acc": 0.46, "val_loss": 0.6910852193832397, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6935952007770538, "train_acc": 0.54, "val_loss": 0.6845299005508423, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6865562200546265, "train_acc": 0.54, "val_loss": 0.6809454560279846, "val_acc": 0.56}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6850847899913788, "train_acc": 0.54, "val_loss": 0.665295422077179, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.683547705411911, "train_acc": 0.485, "val_loss": 0.6163291335105896, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6171027719974518, "train_acc": 0.485, "val_loss": 0.5201432704925537, "val_acc": 0.56}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5345534384250641, "train_acc": 0.605, "val_loss": 0.42543068528175354, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4413124620914459, "train_acc": 0.84, "val_loss": 0.3747014105319977, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.4214887171983719, "train_acc": 0.9, "val_loss": 0.3366978168487549, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3813987672328949, "train_acc": 0.9, "val_loss": 0.31535065174102783, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.40584051609039307, "train_acc": 0.905, "val_loss": 0.29914456605911255, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3528624176979065, "train_acc": 0.91, "val_loss": 0.3243931531906128, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.3448141813278198, "train_acc": 0.89, "val_loss": 0.32744964957237244, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.3402809202671051, "train_acc": 0.89, "val_loss": 0.3031676113605499, "val_acc": 0.9}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7020980715751648, "final_val_loss": 0.665295422077179, "initial_val_acc": 0.44, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.6163291335105896, "final_val_loss": 0.3031676113605499, "initial_val_acc": 0.56, "final_val_acc": 0.9, "best_val_acc": 0.96, "best_epoch": 7}, "improvement": 0.3999999999999999, "first_improvement_epoch": 4}}
|
162
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6842, "learning_rate": 0.06969084560592119, "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: 5
Neurons per Layer: 5
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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"network.2.bias": [
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[
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}
## Activation Signature
### 0
fourier: [[31.508289, 32.335800, 33.341086, 33.523212, 33.676768, 34.257892, 37.642635, 39.609347, 39.638544, 53.861305], [22.794741, 23.757508, 26.082264, 26.452004, 27.975326, 29.524443, 35.841627, 36.093349, 39.798361, 136.042642], [24.244182, 25.825327, 25.965708, 27.050947, 27.207761, 29.569192, 31.462394, 36.178714, 41.280526, 189.307831], [22.488473, 23.785825, 24.128645, 24.419911, 24.483095, 25.100427, 26.339998, 29.991553, 31.970708, 32.705830], [21.470219, 22.106256, 22.399604, 23.065770, 23.111623, 23.790125, 26.031503, 26.075084, 27.162186, 27.582458]]
### 2
fourier: [[17.694039, 18.036284, 19.412871, 21.076612, 25.589267, 25.691128, 27.797597, 28.308907, 29.036086, 32.140896], [15.516581, 17.542098, 17.723145, 17.879260, 19.424591, 22.230039, 23.616316, 24.765653, 31.978833, 40.655125], [9.271554, 9.275635, 9.632385, 9.655865, 10.138252, 10.226851, 10.713323, 13.635317, 16.277825, 56.167328], [16.367624, 16.658971, 18.256927, 18.354883, 19.624913, 20.791384, 21.205238, 24.474426, 27.232526, 91.164275], [33.633114, 35.716294, 37.464376, 37.675224, 39.780143, 50.870404, 57.338395, 58.140563, 71.009794, 284.320244]]
### 4
fourier: [[20.569106, 22.715959, 23.831796, 25.033186, 25.801713, 27.936869, 28.569464, 29.788024, 32.534458, 99.048163], [5.527166, 5.587601, 5.834997, 5.976039, 7.137661, 7.999680, 8.057530, 8.980307, 9.351661, 44.174803], [36.019989, 37.253869, 40.351311, 43.210797, 44.121261, 47.308248, 51.566675, 59.492404, 62.530559, 237.589738], [15.613011, 16.238474, 16.866751, 18.316067, 18.988654, 26.350926, 26.992142, 29.781460, 37.795767, 194.251696], [21.876927, 21.891749, 22.491945, 23.123603, 23.652638, 24.050273, 27.103370, 30.148974, 32.766125, 66.075728]]
### 6
fourier: [[47.404368, 49.944482, 53.835043, 59.307896, 59.545695, 65.957261, 70.312138, 77.497172, 83.117872, 320.899788], [13.760746, 14.162789, 14.877252, 16.180353, 17.076249, 18.691642, 20.096475, 23.273176, 30.315611, 251.525798], [43.153922, 45.243406, 49.548214, 54.179440, 56.933636, 57.683083, 60.433092, 70.061732, 71.007183, 260.506983], [18.785472, 19.075905, 19.157256, 19.627749, 20.965858, 21.420969, 23.875854, 26.828115, 28.897612, 44.648614], [11.794120, 12.103307, 12.162144, 12.347615, 13.328664, 15.690728, 18.201248, 20.591045, 23.558015, 166.765332]]
### 8
fourier: [[27.783287, 30.595945, 32.907564, 38.618135, 38.960824, 39.560010, 40.322957, 41.918042, 42.988342, 80.097504], [29.454482, 31.979040, 33.981293, 39.168371, 39.356651, 40.926657, 41.503593, 42.597102, 43.560577, 59.584593], [8.947003, 9.052627, 9.273951, 9.410054, 10.436333, 10.831268, 11.056887, 11.099985, 15.227446, 172.644518], [49.575792, 51.181988, 57.312725, 61.363470, 64.823260, 69.535642, 73.507007, 81.416286, 85.561537, 327.127185], [34.882387, 38.140689, 40.679007, 44.918615, 47.179669, 47.672591, 48.687520, 50.412796, 50.779730, 52.714681]]
### 10
fourier: [[48.367884, 49.673804, 50.803529, 57.165182, 60.534556, 62.352809, 62.964315, 64.257753, 67.248656, 140.826835]]
## 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: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.832721,
0.339135,
-0.161196,
0.430402,
-0.528351
],
[
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## Activation Signature
### 0
fourier: [[31.508289, 32.335800, 33.341086, 33.523212, 33.676768, 34.257892, 37.642635, 39.609347, 39.638544, 53.861305], [22.794741, 23.757508, 26.082264, 26.452004, 27.975326, 29.524443, 35.841627, 36.093349, 39.798361, 136.042642], [24.244182, 25.825327, 25.965708, 27.050947, 27.207761, 29.569192, 31.462394, 36.178714, 41.280526, 189.307831], [22.488473, 23.785825, 24.128645, 24.419911, 24.483095, 25.100427, 26.339998, 29.991553, 31.970708, 32.705830], [21.470219, 22.106256, 22.399604, 23.065770, 23.111623, 23.790125, 26.031503, 26.075084, 27.162186, 27.582458]]
### 2
fourier: [[17.694039, 18.036284, 19.412871, 21.076612, 25.589267, 25.691128, 27.797597, 28.308907, 29.036086, 32.140896], [15.516581, 17.542098, 17.723145, 17.879260, 19.424591, 22.230039, 23.616316, 24.765653, 31.978833, 40.655125], [9.271554, 9.275635, 9.632385, 9.655865, 10.138252, 10.226851, 10.713323, 13.635317, 16.277825, 56.167328], [16.367624, 16.658971, 18.256927, 18.354883, 19.624913, 20.791384, 21.205238, 24.474426, 27.232526, 91.164275], [33.633114, 35.716294, 37.464376, 37.675224, 39.780143, 50.870404, 57.338395, 58.140563, 71.009794, 284.320244]]
### 4
fourier: [[20.569106, 22.715959, 23.831796, 25.033186, 25.801713, 27.936869, 28.569464, 29.788024, 32.534458, 99.048163], [5.527166, 5.587601, 5.834997, 5.976039, 7.137661, 7.999680, 8.057530, 8.980307, 9.351661, 44.174803], [36.019989, 37.253869, 40.351311, 43.210797, 44.121261, 47.308248, 51.566675, 59.492404, 62.530559, 237.589738], [15.613011, 16.238474, 16.866751, 18.316067, 18.988654, 26.350926, 26.992142, 29.781460, 37.795767, 194.251696], [21.876927, 21.891749, 22.491945, 23.123603, 23.652638, 24.050273, 27.103370, 30.148974, 32.766125, 66.075728]]
### 6
fourier: [[47.404368, 49.944482, 53.835043, 59.307896, 59.545695, 65.957261, 70.312138, 77.497172, 83.117872, 320.899788], [13.760746, 14.162789, 14.877252, 16.180353, 17.076249, 18.691642, 20.096475, 23.273176, 30.315611, 251.525798], [43.153922, 45.243406, 49.548214, 54.179440, 56.933636, 57.683083, 60.433092, 70.061732, 71.007183, 260.506983], [18.785472, 19.075905, 19.157256, 19.627749, 20.965858, 21.420969, 23.875854, 26.828115, 28.897612, 44.648614], [11.794120, 12.103307, 12.162144, 12.347615, 13.328664, 15.690728, 18.201248, 20.591045, 23.558015, 166.765332]]
### 8
fourier: [[27.783287, 30.595945, 32.907564, 38.618135, 38.960824, 39.560010, 40.322957, 41.918042, 42.988342, 80.097504], [29.454482, 31.979040, 33.981293, 39.168371, 39.356651, 40.926657, 41.503593, 42.597102, 43.560577, 59.584593], [8.947003, 9.052627, 9.273951, 9.410054, 10.436333, 10.831268, 11.056887, 11.099985, 15.227446, 172.644518], [49.575792, 51.181988, 57.312725, 61.363470, 64.823260, 69.535642, 73.507007, 81.416286, 85.561537, 327.127185], [34.882387, 38.140689, 40.679007, 44.918615, 47.179669, 47.672591, 48.687520, 50.412796, 50.779730, 52.714681]]
### 10
fourier: [[48.367884, 49.673804, 50.803529, 57.165182, 60.534556, 62.352809, 62.964315, 64.257753, 67.248656, 140.826835]]
## 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": 0.6880625188350677, "train_acc": 0.585, "val_loss": 0.7218450903892517, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6721709966659546, "train_acc": 0.585, "val_loss": 0.6716548204421997, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6499122679233551, "train_acc": 0.57, "val_loss": 0.4986487627029419, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4734562784433365, "train_acc": 0.845, "val_loss": 0.19318923354148865, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.327485628426075, "train_acc": 0.85, "val_loss": 0.18420949578285217, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.34942570328712463, "train_acc": 0.875, "val_loss": 0.1958366185426712, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.304402694106102, "train_acc": 0.885, "val_loss": 0.17581024765968323, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.23867926746606827, "train_acc": 0.91, "val_loss": 0.1910647600889206, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.25270019471645355, "train_acc": 0.905, "val_loss": 0.19331802427768707, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.23390736430883408, "train_acc": 0.9, "val_loss": 0.18531718850135803, "val_acc": 0.96}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7218450903892517, "final_val_loss": 0.6716548204421997, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.4986487627029419, "final_val_loss": 0.18531718850135803, "initial_val_acc": 0.92, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 4}, "improvement": 0.48, "first_improvement_epoch": 1}}
|
163
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.54, "improved_accuracy": 0.8, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4892, "learning_rate": 0.023140353950997138, "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: 5
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: [[25.759667, 25.887881, 26.981839, 27.368866, 28.463876, 29.666455, 32.470631, 33.785507, 38.132735, 184.367993], [12.715240, 13.204107, 13.632977, 13.772171, 14.104065, 14.472858, 17.445068, 18.439001, 20.320574, 27.842748], [21.018598, 21.783672, 22.615335, 23.585608, 24.519313, 25.142596, 25.142599, 25.190625, 27.957433, 93.668245], [19.787268, 20.759134, 21.078661, 22.239450, 24.204044, 26.513585, 27.969373, 28.892258, 29.451244, 177.046719], [16.904137, 17.078936, 17.917885, 17.971019, 19.102795, 19.652697, 19.852253, 20.508886, 21.947088, 72.337621], [11.464408, 12.073199, 13.273939, 14.302121, 14.413102, 14.929320, 15.907201, 17.199378, 18.231867, 118.814750], [12.641256, 12.877518, 13.707453, 15.297541, 15.655003, 17.564222, 17.863034, 18.010107, 20.240461, 175.606513]]
### 2
fourier: [[9.020124, 9.097841, 9.448309, 9.731233, 9.855564, 10.477132, 11.789474, 12.146992, 12.289982, 88.882668], [14.020093, 14.177884, 14.213975, 15.256778, 15.858019, 16.554868, 17.256059, 17.693987, 17.991968, 81.635829], [10.772386, 10.995129, 11.564039, 11.700339, 11.947176, 12.238262, 14.178999, 14.332128, 20.895277, 28.123998], [16.490017, 16.807010, 16.980511, 17.790195, 19.525635, 19.941705, 21.341145, 21.708662, 21.862130, 165.789778], [7.425283, 7.555192, 7.621079, 7.754419, 7.830419, 8.058082, 8.112545, 10.242031, 10.896683, 44.334278], [15.525563, 15.527464, 15.997281, 16.972608, 17.492211, 17.921887, 18.298586, 18.721160, 20.129957, 22.389262], [8.259220, 8.936172, 9.050601, 9.848856, 10.520688, 10.779072, 11.075382, 12.069386, 12.178305, 64.045053]]
### 4
fourier: [[8.013443, 8.466680, 9.140760, 9.569245, 9.730665, 9.911564, 10.369885, 10.551188, 11.871556, 12.518262], [16.984325, 17.507810, 18.401616, 19.229004, 20.737917, 21.019722, 21.956503, 23.636951, 24.746173, 176.767528], [9.659107, 9.923592, 10.002365, 10.564481, 11.282946, 11.418913, 11.517243, 12.115463, 12.179597, 56.963560], [5.166481, 5.169021, 5.408406, 5.575251, 5.945126, 6.907682, 7.828728, 7.876974, 7.926497, 38.342535], [6.135667, 6.144369, 6.495475, 6.758540, 6.791405, 7.057567, 7.170276, 7.211066, 7.663192, 35.385688], [13.841346, 14.093317, 14.845660, 15.751420, 16.330243, 16.491354, 16.731304, 18.820776, 19.955192, 111.746775], [8.259935, 8.614374, 8.621978, 9.643463, 10.043113, 10.213491, 10.447108, 10.843571, 11.412119, 67.039648]]
### 6
fourier: [[3.772735, 3.775140, 3.911005, 3.957436, 4.874640, 5.528506, 5.610470, 5.923240, 6.506353, 30.165923], [8.990012, 9.022390, 9.248807, 9.730512, 9.933423, 10.335147, 10.995307, 11.990222, 12.221830, 88.546122], [22.582629, 22.723930, 23.012561, 25.481250, 26.646421, 27.130482, 28.043635, 31.260148, 31.765343, 181.657545], [21.293290, 21.686837, 22.157354, 23.657933, 25.014078, 25.249754, 26.154607, 29.345816, 29.833388, 178.036361], [9.217439, 9.307577, 9.480476, 9.590865, 9.825785, 11.156643, 11.495860, 11.607113, 12.799353, 62.636985], [1.839680, 2.474212, 2.483680, 2.520835, 2.636984, 2.721205, 2.958323, 3.570257, 3.871668, 32.265565], [5.077015, 5.133706, 5.507671, 5.521838, 5.950168, 6.107417, 6.629780, 7.087467, 7.414284, 57.149628]]
### 8
fourier: [[11.819009, 12.773746, 13.068809, 13.153994, 13.282714, 13.812729, 14.476145, 15.855818, 16.144356, 111.666914], [1.911563, 1.922920, 1.947159, 2.053871, 2.076943, 2.178866, 2.191129, 2.473828, 2.701818, 35.667927], [16.195532, 16.462566, 16.993040, 17.871114, 19.379247, 19.616942, 20.332171, 22.547774, 22.589552, 122.042334], [9.268506, 9.384487, 9.637781, 10.364402, 11.219786, 11.685984, 11.708368, 12.826041, 13.357467, 104.055078], [8.007225, 8.625405, 8.785140, 8.953143, 9.383370, 9.688376, 9.976983, 11.056779, 11.224079, 66.928761], [5.045467, 5.077410, 5.269394, 5.663532, 5.851530, 5.997341, 6.054207, 6.532952, 6.649686, 72.783694], [19.320758, 19.680163, 20.544683, 21.348755, 23.231954, 24.542974, 25.069740, 26.940459, 27.784628, 123.261129]]
### 10
fourier: [[17.195073, 17.217995, 18.074555, 19.134606, 20.722213, 21.345208, 22.032728, 24.067320, 24.220393, 152.211721]]
## 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: 5
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: [[25.759667, 25.887881, 26.981839, 27.368866, 28.463876, 29.666455, 32.470631, 33.785507, 38.132735, 184.367993], [12.715240, 13.204107, 13.632977, 13.772171, 14.104065, 14.472858, 17.445068, 18.439001, 20.320574, 27.842748], [21.018598, 21.783672, 22.615335, 23.585608, 24.519313, 25.142596, 25.142599, 25.190625, 27.957433, 93.668245], [19.787268, 20.759134, 21.078661, 22.239450, 24.204044, 26.513585, 27.969373, 28.892258, 29.451244, 177.046719], [16.904137, 17.078936, 17.917885, 17.971019, 19.102795, 19.652697, 19.852253, 20.508886, 21.947088, 72.337621], [11.464408, 12.073199, 13.273939, 14.302121, 14.413102, 14.929320, 15.907201, 17.199378, 18.231867, 118.814750], [12.641256, 12.877518, 13.707453, 15.297541, 15.655003, 17.564222, 17.863034, 18.010107, 20.240461, 175.606513]]
### 2
fourier: [[9.020124, 9.097841, 9.448309, 9.731233, 9.855564, 10.477132, 11.789474, 12.146992, 12.289982, 88.882668], [14.020093, 14.177884, 14.213975, 15.256778, 15.858019, 16.554868, 17.256059, 17.693987, 17.991968, 81.635829], [10.772386, 10.995129, 11.564039, 11.700339, 11.947176, 12.238262, 14.178999, 14.332128, 20.895277, 28.123998], [16.490017, 16.807010, 16.980511, 17.790195, 19.525635, 19.941705, 21.341145, 21.708662, 21.862130, 165.789778], [7.425283, 7.555192, 7.621079, 7.754419, 7.830419, 8.058082, 8.112545, 10.242031, 10.896683, 44.334278], [15.525563, 15.527464, 15.997281, 16.972608, 17.492211, 17.921887, 18.298586, 18.721160, 20.129957, 22.389262], [8.259220, 8.936172, 9.050601, 9.848856, 10.520688, 10.779072, 11.075382, 12.069386, 12.178305, 64.045053]]
### 4
fourier: [[8.013443, 8.466680, 9.140760, 9.569245, 9.730665, 9.911564, 10.369885, 10.551188, 11.871556, 12.518262], [16.984325, 17.507810, 18.401616, 19.229004, 20.737917, 21.019722, 21.956503, 23.636951, 24.746173, 176.767528], [9.659107, 9.923592, 10.002365, 10.564481, 11.282946, 11.418913, 11.517243, 12.115463, 12.179597, 56.963560], [5.166481, 5.169021, 5.408406, 5.575251, 5.945126, 6.907682, 7.828728, 7.876974, 7.926497, 38.342535], [6.135667, 6.144369, 6.495475, 6.758540, 6.791405, 7.057567, 7.170276, 7.211066, 7.663192, 35.385688], [13.841346, 14.093317, 14.845660, 15.751420, 16.330243, 16.491354, 16.731304, 18.820776, 19.955192, 111.746775], [8.259935, 8.614374, 8.621978, 9.643463, 10.043113, 10.213491, 10.447108, 10.843571, 11.412119, 67.039648]]
### 6
fourier: [[3.772735, 3.775140, 3.911005, 3.957436, 4.874640, 5.528506, 5.610470, 5.923240, 6.506353, 30.165923], [8.990012, 9.022390, 9.248807, 9.730512, 9.933423, 10.335147, 10.995307, 11.990222, 12.221830, 88.546122], [22.582629, 22.723930, 23.012561, 25.481250, 26.646421, 27.130482, 28.043635, 31.260148, 31.765343, 181.657545], [21.293290, 21.686837, 22.157354, 23.657933, 25.014078, 25.249754, 26.154607, 29.345816, 29.833388, 178.036361], [9.217439, 9.307577, 9.480476, 9.590865, 9.825785, 11.156643, 11.495860, 11.607113, 12.799353, 62.636985], [1.839680, 2.474212, 2.483680, 2.520835, 2.636984, 2.721205, 2.958323, 3.570257, 3.871668, 32.265565], [5.077015, 5.133706, 5.507671, 5.521838, 5.950168, 6.107417, 6.629780, 7.087467, 7.414284, 57.149628]]
### 8
fourier: [[11.819009, 12.773746, 13.068809, 13.153994, 13.282714, 13.812729, 14.476145, 15.855818, 16.144356, 111.666914], [1.911563, 1.922920, 1.947159, 2.053871, 2.076943, 2.178866, 2.191129, 2.473828, 2.701818, 35.667927], [16.195532, 16.462566, 16.993040, 17.871114, 19.379247, 19.616942, 20.332171, 22.547774, 22.589552, 122.042334], [9.268506, 9.384487, 9.637781, 10.364402, 11.219786, 11.685984, 11.708368, 12.826041, 13.357467, 104.055078], [8.007225, 8.625405, 8.785140, 8.953143, 9.383370, 9.688376, 9.976983, 11.056779, 11.224079, 66.928761], [5.045467, 5.077410, 5.269394, 5.663532, 5.851530, 5.997341, 6.054207, 6.532952, 6.649686, 72.783694], [19.320758, 19.680163, 20.544683, 21.348755, 23.231954, 24.542974, 25.069740, 26.940459, 27.784628, 123.261129]]
### 10
fourier: [[17.195073, 17.217995, 18.074555, 19.134606, 20.722213, 21.345208, 22.032728, 24.067320, 24.220393, 152.211721]]
## 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": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.046583, 0.46471, 0.506393, 0.467927, -0.543092], [-0.081652, -0.189517, 0.24784, -0.339989, 0.100025], [0.495861, 0.555203, -0.052954, -0.222765, -0.165998], [0.018453, 0.016712, 0.406414, 0.367239, 0.481402], [-0.284004, 0.08927, -0.102208, 0.548254, 0.006611], [0.056126, 0.10308, -0.271403, -0.024395, -0.353713], [-0.04212, -0.089949, -0.270025, -0.2181, -0.277236]], "network.0.bias": [-0.247669, 0.225603, 0.205036, -0.316439, 0.024156, -0.522355, -0.361181], "network.2.weight": [[0.312851, -0.002686, 0.158461, -0.07633, -0.14743, -0.379484, -0.283308], [0.257388, 0.133283, 0.40547, 0.117218, -0.168237, -0.142918, 0.265113], [-0.26643, 0.253378, -0.259343, 0.414782, -0.046713, -0.06072, -0.16208], [0.52289, -0.168352, -0.074758, 0.183195, 0.268906, -0.246732, -0.036539], [-0.090248, -0.2033, -0.209402, -0.164097, -0.062045, -0.051565, -0.004861], [-0.406723, -0.517734, -0.391786, 0.478125, 0.253508, 0.278067, 0.036947], [0.266191, 0.278838, 0.204144, -0.03866, -0.127312, 0.233786, -0.282282]], "network.2.bias": [0.383172, -0.163928, -0.285342, 0.217507, 0.32363, 0.225288, 0.088561], "network.4.weight": [[-0.247314, 0.091992, 0.152477, 0.223302, -0.25554, 0.454288, -0.521363], [0.382945, 0.459338, 0.089256, 0.554413, -0.115486, -0.423239, -0.1037], [0.179648, -0.051006, -0.402685, 0.425, 0.12645, -0.21473, -0.013095], [0.107318, -0.330493, 0.339861, 0.020218, 0.337934, 0.134538, -0.099004], [-0.392928, 0.089836, 0.347181, 0.173982, -0.086828, 0.037251, -0.391081], [0.000211, 0.334761, -0.195382, 0.357696, -0.289531, -0.368183, 0.350857], [0.357502, -0.107374, -0.385757, 0.049542, 0.116317, -0.225523, 0.426098]], "network.4.bias": [-0.048901, 0.454827, -0.098982, -0.275357, -0.244302, 0.237392, 0.297484], "network.6.weight": [[0.426798, -0.008944, -0.00938, -0.215296, -0.138544, -0.199836, 0.010696], [0.13992, -0.205201, -0.030724, 0.20491, 0.243867, -0.035047, -0.495542], [0.073068, 0.535214, 0.303661, -0.264413, -0.557992, 0.563799, 0.339531], [0.000175, 0.432247, 0.33388, -0.514978, -0.1554, 0.463956, 0.578505], [0.456028, 0.071306, -0.548249, -0.046733, 0.120049, -0.126308, -0.395824], [0.312026, -0.07325, 0.105988, 0.229253, 0.058149, 0.012096, 0.08767], [0.069664, -0.03875, 0.005115, -0.273025, 0.378168, -0.219935, -0.156117]], "network.6.bias": [-0.187199, -0.192235, -0.13824, -0.027498, -0.167001, -0.386957, -0.210575], "network.8.weight": [[-0.31196, -0.540426, 0.311026, 0.167823, -0.474335, 0.088322, -0.495517], [0.400235, -0.064118, 0.087457, -0.000353, 0.408537, -0.178221, 0.323939], [-0.099217, -0.483498, 0.306972, 0.409387, -0.382518, 0.155755, -0.300054], [-0.1932, -0.186013, 0.329219, 0.077318, 0.130347, -0.390002, -0.244063], [0.065052, -0.012355, 0.442954, -0.120374, -0.456317, -0.260075, -0.068885], [0.10395, -0.560575, 0.09895, 0.100885, -0.315258, -0.329483, 0.03486], [0.340325, -0.11778, -0.31062, -0.574435, 0.086294, -0.3297, -0.252495]], "network.8.bias": [0.14007, -0.497507, -0.141168, 0.250218, 0.040217, 0.319157, 0.30573], "network.10.weight": [[-0.484924, 0.252994, -0.240063, -0.400792, -0.182241, -0.552842, 0.161571]], "network.10.bias": [0.134703]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.706873744726181, "train_acc": 0.435, "val_loss": 0.6927029490470886, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6922911107540131, "train_acc": 0.455, "val_loss": 0.6867825388908386, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.672074556350708, "train_acc": 0.565, "val_loss": 0.6647602915763855, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6006110906600952, "train_acc": 0.565, "val_loss": 0.6062047481536865, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5065672099590302, "train_acc": 0.69, "val_loss": 0.48677849769592285, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.38561148941516876, "train_acc": 0.87, "val_loss": 0.46525338292121887, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.33322833478450775, "train_acc": 0.885, "val_loss": 0.4316791594028473, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.29376867413520813, "train_acc": 0.88, "val_loss": 0.4897676110267639, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.2814840227365494, "train_acc": 0.885, "val_loss": 0.5713577270507812, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3076881170272827, "train_acc": 0.88, "val_loss": 0.5365236401557922, "val_acc": 0.76}], "summary": {"total_epochs": 10, "degraded_epochs": 4, "improved_epochs": 6, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6927029490470886, "final_val_loss": 0.6062047481536865, "initial_val_acc": 0.5, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.48677849769592285, "final_val_loss": 0.5365236401557922, "initial_val_acc": 0.8, "final_val_acc": 0.76, "best_val_acc": 0.8, "best_epoch": 4}, "improvement": 0.26, "first_improvement_epoch": 3}}
|
164
|
{"target_pattern": "decreasing_pairs", "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": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5933, "learning_rate": 0.018050919124068178, "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: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[26.307645, 27.706774, 30.823640, 31.540045, 33.589551, 38.599935, 41.424913, 42.564132, 47.000014, 340.535449], [17.167071, 17.964099, 18.228202, 18.485856, 18.532975, 19.140166, 20.688081, 21.954330, 31.928070, 66.020531], [18.865552, 19.189353, 20.729145, 20.972951, 22.172260, 22.227364, 22.353123, 25.894390, 26.924236, 64.481781], [13.883493, 14.488592, 14.550862, 14.724711, 15.370860, 16.591244, 16.715681, 19.040422, 19.417259, 72.487134], [4.814665, 4.981408, 5.386866, 5.453811, 5.852800, 5.910775, 6.425061, 6.447422, 7.093715, 22.431682], [20.486029, 20.600522, 20.806378, 21.625173, 21.900711, 22.120228, 22.966185, 23.650090, 24.221245, 115.219775]]
### 2
fourier: [[5.042596, 5.489626, 5.636583, 6.373912, 6.401643, 6.759851, 7.271260, 7.563849, 8.917133, 46.839752], [10.219138, 12.209725, 12.467253, 13.117901, 13.273089, 13.298559, 13.469393, 15.308624, 17.178635, 52.565976], [9.175048, 9.372578, 9.630116, 9.774589, 11.087333, 11.313612, 12.514803, 12.775252, 13.934396, 150.698757], [26.040319, 27.413325, 27.604950, 30.334283, 30.347407, 32.143813, 33.183859, 33.463900, 34.614868, 199.858537], [25.514697, 26.770695, 28.640050, 28.959354, 29.761021, 30.203685, 32.203329, 34.301028, 36.212270, 92.942957], [8.833781, 8.957901, 9.871170, 10.420276, 11.359217, 11.633622, 12.409088, 13.198712, 13.939494, 113.973306]]
### 4
fourier: [[12.504284, 13.880872, 14.232459, 17.049689, 18.166590, 18.650442, 18.679611, 18.906811, 19.921746, 35.901273], [10.033255, 10.515906, 10.761021, 11.939220, 13.011613, 14.241329, 14.444910, 14.997570, 15.780798, 15.943224], [2.779004, 2.822698, 2.831024, 2.947290, 3.014182, 3.058146, 3.582700, 3.706829, 4.307184, 72.879991], [4.562924, 4.799722, 5.047971, 5.141220, 5.378546, 6.208288, 6.288867, 7.132652, 7.678955, 121.932898], [5.336493, 5.362936, 5.484715, 5.689302, 5.734791, 6.209930, 6.430201, 7.468695, 8.557492, 117.245591], [21.298984, 21.692145, 23.338365, 24.570886, 24.919460, 24.971268, 26.910454, 27.901560, 27.980384, 152.513519]]
### 6
fourier: [[10.770465, 11.241977, 11.253257, 11.265569, 12.688550, 13.312032, 14.165847, 15.066681, 16.735345, 65.114771], [13.165867, 14.058787, 14.264571, 14.472711, 16.152952, 17.327536, 17.784583, 18.896063, 20.673954, 64.764421], [7.517727, 7.694696, 8.133191, 9.150741, 10.267175, 10.680162, 11.338829, 11.554795, 12.410358, 53.637999], [2.589276, 2.596401, 2.915443, 3.092296, 3.502539, 3.602208, 3.840016, 3.896631, 3.944534, 46.948435], [13.671577, 14.332326, 14.856914, 15.121946, 16.183714, 16.959564, 18.015967, 19.052254, 21.185678, 63.256365], [3.033697, 3.108149, 3.523358, 3.542197, 4.048223, 4.319288, 4.415146, 4.422320, 4.604371, 33.087504]]
### 8
fourier: [[7.815373, 8.116300, 8.187428, 8.723534, 9.185760, 9.639355, 10.327424, 10.671721, 11.147696, 14.657480], [12.507230, 12.900792, 12.925591, 13.735669, 14.461917, 15.332586, 16.521985, 17.210258, 17.690743, 20.727411], [6.061249, 6.103235, 6.191074, 6.511091, 6.800762, 7.415394, 7.994426, 8.413007, 8.460469, 18.082851], [5.211296, 5.319373, 5.416128, 5.556168, 6.098615, 6.389233, 6.935165, 6.976470, 7.420988, 17.222112], [7.923289, 8.082879, 8.125709, 8.625086, 9.155002, 9.656407, 10.417527, 10.722987, 11.157113, 53.505647], [11.841491, 12.100390, 12.125276, 12.923785, 13.515286, 14.512206, 15.516524, 16.167310, 16.684156, 41.933339]]
### 10
fourier: [[8.112807, 9.352474, 9.524899, 9.633388, 10.156912, 10.600585, 11.383711, 12.301621, 12.369543, 13.095987], [6.407071, 6.581315, 6.609974, 6.948752, 7.293785, 7.826257, 8.491548, 8.512031, 9.018635, 11.241362], [11.265684, 13.106455, 13.174214, 13.245545, 14.114119, 14.702317, 15.854121, 17.060860, 17.475235, 18.196719], [9.540503, 10.241928, 10.337100, 10.381524, 10.996754, 12.028887, 12.316873, 13.161216, 13.708177, 64.602488], [5.082743, 5.165096, 5.185314, 5.474888, 5.748315, 6.181340, 6.672744, 6.741292, 7.111288, 7.496399], [9.998598, 10.252387, 10.313976, 10.819083, 11.345216, 12.220206, 13.172149, 13.218214, 14.028015, 30.106253]]
### 12
fourier: [[14.575798, 15.628625, 15.782396, 15.950862, 16.719665, 18.412488, 18.732199, 20.153349, 20.958301, 56.058363]]
## 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: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[26.307645, 27.706774, 30.823640, 31.540045, 33.589551, 38.599935, 41.424913, 42.564132, 47.000014, 340.535449], [17.167071, 17.964099, 18.228202, 18.485856, 18.532975, 19.140166, 20.688081, 21.954330, 31.928070, 66.020531], [18.865552, 19.189353, 20.729145, 20.972951, 22.172260, 22.227364, 22.353123, 25.894390, 26.924236, 64.481781], [13.883493, 14.488592, 14.550862, 14.724711, 15.370860, 16.591244, 16.715681, 19.040422, 19.417259, 72.487134], [4.814665, 4.981408, 5.386866, 5.453811, 5.852800, 5.910775, 6.425061, 6.447422, 7.093715, 22.431682], [20.486029, 20.600522, 20.806378, 21.625173, 21.900711, 22.120228, 22.966185, 23.650090, 24.221245, 115.219775]]
### 2
fourier: [[5.042596, 5.489626, 5.636583, 6.373912, 6.401643, 6.759851, 7.271260, 7.563849, 8.917133, 46.839752], [10.219138, 12.209725, 12.467253, 13.117901, 13.273089, 13.298559, 13.469393, 15.308624, 17.178635, 52.565976], [9.175048, 9.372578, 9.630116, 9.774589, 11.087333, 11.313612, 12.514803, 12.775252, 13.934396, 150.698757], [26.040319, 27.413325, 27.604950, 30.334283, 30.347407, 32.143813, 33.183859, 33.463900, 34.614868, 199.858537], [25.514697, 26.770695, 28.640050, 28.959354, 29.761021, 30.203685, 32.203329, 34.301028, 36.212270, 92.942957], [8.833781, 8.957901, 9.871170, 10.420276, 11.359217, 11.633622, 12.409088, 13.198712, 13.939494, 113.973306]]
### 4
fourier: [[12.504284, 13.880872, 14.232459, 17.049689, 18.166590, 18.650442, 18.679611, 18.906811, 19.921746, 35.901273], [10.033255, 10.515906, 10.761021, 11.939220, 13.011613, 14.241329, 14.444910, 14.997570, 15.780798, 15.943224], [2.779004, 2.822698, 2.831024, 2.947290, 3.014182, 3.058146, 3.582700, 3.706829, 4.307184, 72.879991], [4.562924, 4.799722, 5.047971, 5.141220, 5.378546, 6.208288, 6.288867, 7.132652, 7.678955, 121.932898], [5.336493, 5.362936, 5.484715, 5.689302, 5.734791, 6.209930, 6.430201, 7.468695, 8.557492, 117.245591], [21.298984, 21.692145, 23.338365, 24.570886, 24.919460, 24.971268, 26.910454, 27.901560, 27.980384, 152.513519]]
### 6
fourier: [[10.770465, 11.241977, 11.253257, 11.265569, 12.688550, 13.312032, 14.165847, 15.066681, 16.735345, 65.114771], [13.165867, 14.058787, 14.264571, 14.472711, 16.152952, 17.327536, 17.784583, 18.896063, 20.673954, 64.764421], [7.517727, 7.694696, 8.133191, 9.150741, 10.267175, 10.680162, 11.338829, 11.554795, 12.410358, 53.637999], [2.589276, 2.596401, 2.915443, 3.092296, 3.502539, 3.602208, 3.840016, 3.896631, 3.944534, 46.948435], [13.671577, 14.332326, 14.856914, 15.121946, 16.183714, 16.959564, 18.015967, 19.052254, 21.185678, 63.256365], [3.033697, 3.108149, 3.523358, 3.542197, 4.048223, 4.319288, 4.415146, 4.422320, 4.604371, 33.087504]]
### 8
fourier: [[7.815373, 8.116300, 8.187428, 8.723534, 9.185760, 9.639355, 10.327424, 10.671721, 11.147696, 14.657480], [12.507230, 12.900792, 12.925591, 13.735669, 14.461917, 15.332586, 16.521985, 17.210258, 17.690743, 20.727411], [6.061249, 6.103235, 6.191074, 6.511091, 6.800762, 7.415394, 7.994426, 8.413007, 8.460469, 18.082851], [5.211296, 5.319373, 5.416128, 5.556168, 6.098615, 6.389233, 6.935165, 6.976470, 7.420988, 17.222112], [7.923289, 8.082879, 8.125709, 8.625086, 9.155002, 9.656407, 10.417527, 10.722987, 11.157113, 53.505647], [11.841491, 12.100390, 12.125276, 12.923785, 13.515286, 14.512206, 15.516524, 16.167310, 16.684156, 41.933339]]
### 10
fourier: [[8.112807, 9.352474, 9.524899, 9.633388, 10.156912, 10.600585, 11.383711, 12.301621, 12.369543, 13.095987], [6.407071, 6.581315, 6.609974, 6.948752, 7.293785, 7.826257, 8.491548, 8.512031, 9.018635, 11.241362], [11.265684, 13.106455, 13.174214, 13.245545, 14.114119, 14.702317, 15.854121, 17.060860, 17.475235, 18.196719], [9.540503, 10.241928, 10.337100, 10.381524, 10.996754, 12.028887, 12.316873, 13.161216, 13.708177, 64.602488], [5.082743, 5.165096, 5.185314, 5.474888, 5.748315, 6.181340, 6.672744, 6.741292, 7.111288, 7.496399], [9.998598, 10.252387, 10.313976, 10.819083, 11.345216, 12.220206, 13.172149, 13.218214, 14.028015, 30.106253]]
### 12
fourier: [[14.575798, 15.628625, 15.782396, 15.950862, 16.719665, 18.412488, 18.732199, 20.153349, 20.958301, 56.058363]]
## 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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5.453810622499953, 5.8527995085756865, 5.910774978020737, 6.425060517278298, 6.44742173719756, 7.093715282165486, 22.43168170005083]}, "5": {"fourier": [20.486029113807735, 20.60052181381296, 20.806377508001464, 21.625173470354227, 21.900710854144904, 22.12022800706539, 22.966185295855045, 23.65009049905113, 24.22124501420869, 115.21977512538433]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [5.042596130098243, 5.489625746762162, 5.636582601886367, 6.3739124124250175, 6.401642800891694, 6.759850723396736, 7.271260411916831, 7.563849172494467, 8.917133269683807, 46.83975166082382]}, "1": {"fourier": [10.219137608049348, 12.209724969980297, 12.467252808864874, 13.117900551441124, 13.273088819194376, 13.298558500020771, 13.46939310466926, 15.308623985789502, 17.178635476462862, 52.56597574800253]}, "2": {"fourier": [9.175047563994454, 9.37257831213, 9.630115721414644, 9.774588856468364, 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{"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [8.112806854283066, 9.35247397753875, 9.524899027315914, 9.633387606970908, 10.156912265865023, 10.600585481205925, 11.383710557213366, 12.301621027255564, 12.369542913082723, 13.095986566729344]}, "1": {"fourier": [6.407071271449892, 6.58131492148039, 6.60997392153391, 6.948751936390181, 7.29378517982275, 7.826257452989787, 8.49154821590132, 8.512031397417148, 9.018634702528347, 11.241361826658249]}, "2": {"fourier": [11.265684047502154, 13.106454973654644, 13.174214041800685, 13.24554480008112, 14.114119340767308, 14.702316552863156, 15.85412075525611, 17.060859976573234, 17.475235424641255, 18.196719065138083]}, "3": {"fourier": [9.540502990596194, 10.241927767047777, 10.337100114073476, 10.381524220106058, 10.996753827050043, 12.028887416485851, 12.316872937724577, 13.161216478828429, 13.708177410558026, 64.6024880707264]}, "4": {"fourier": [5.082742840704531, 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"input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.329803, 0.022152, 0.669943, 0.220904, 0.598679], [-0.05263, -0.317545, -0.262841, 0.431177, -0.446636], [0.575321, 0.089523, 0.106129, -0.110689, 0.013556], [-0.208263, 0.211874, -0.119687, 0.360471, 0.262142], [-0.113711, -0.129282, 0.030722, 0.050257, 0.088319], [0.551105, 0.392994, -0.137549, -0.115267, 0.047831]], "network.0.bias": [0.721417, 0.085832, -0.163667, -0.167802, -0.153028, 0.353794], "network.2.weight": [[-0.203514, 0.091677, 0.016779, 0.113001, 0.1896, 0.226638], [-0.08345, 0.196007, -0.2186, 0.359187, 0.177349, -0.189991], [0.375776, 0.33228, -0.320625, -0.012691, -0.472534, -0.192462], [0.267884, -0.033955, 0.360624, -0.241585, 0.126757, 0.680104], [0.145751, -0.568268, 0.566574, -0.44558, -0.16855, 0.503967], [-0.236994, -0.146793, -0.107955, -0.35569, 0.29482, 0.083821]], "network.2.bias": [-0.145183, -0.199579, 0.669946, 0.333636, -0.091529, -0.066305], "network.4.weight": [[-0.440227, 0.364531, -0.254571, 0.112408, 0.455099, -0.21484], [-0.211525, 0.223611, -0.52484, 0.357551, 0.036632, 0.045614], [0.257712, -0.3014, 0.144708, 0.095317, -0.190175, -0.301511], [-0.289481, -0.271432, 0.463336, -0.114721, 0.044536, -0.541435], [0.365186, -0.512444, 0.395227, 0.437991, -0.40434, -0.536133], [0.258982, 0.236894, -0.017119, -0.459404, -0.355214, -0.348229]], "network.4.bias": [-0.010466, 0.096463, 0.579616, 0.715142, 0.166302, -0.289329], "network.6.weight": [[0.345378, 0.359852, -0.655688, -0.244009, -0.3424, 0.164872], [0.415157, 0.530922, -0.495861, -0.557255, -0.188608, -0.373526], [0.336635, 0.100608, -0.56956, -0.305013, -0.047494, 0.508791], [0.190627, -0.103546, -0.031985, -0.343097, 0.116935, -0.16315], [0.507321, 0.386719, -0.14991, -0.606327, -0.462922, 0.596612], [-0.072135, -0.041067, 0.307488, 0.342384, -0.191577, 0.11788]], "network.6.bias": [0.177279, 0.15086, 0.08308, -0.292191, 0.426428, -0.710003], "network.8.weight": [[-0.217018, -0.500961, -0.272907, -0.716541, -0.201218, -0.449602], [0.722672, 0.309539, 0.711929, -0.089945, 0.48564, 0.107637], [0.563096, -0.11957, 0.050921, 0.09221, 0.456102, -0.483601], [-0.021082, -0.052432, 0.447414, 0.423236, 0.474163, -0.259268], [-0.32073, -0.198579, -0.42096, -0.452478, -0.366503, -0.126902], [0.224797, 0.65942, 0.175553, -0.125191, 0.618776, -0.442091]], "network.8.bias": [0.079661, 0.157246, 0.113344, -0.189939, 0.567477, 0.262549], "network.10.weight": [[-0.506248, 0.55159, 0.034999, 0.083054, -0.273404, 0.03243], [-0.031528, -0.289336, -0.068632, -0.346738, 0.531115, 0.041738], [-0.342237, -0.025745, 0.611984, 0.389919, -0.449886, 0.530086], [0.506401, -0.378135, -0.085319, -0.00538, 0.60078, -0.142014], [0.017156, 0.014471, -0.06078, -0.367164, 0.313429, -0.205656], [0.507037, -0.354593, -0.120158, -0.267852, 0.349259, -0.168334]], "network.10.bias": [0.094058, -0.090554, 0.03593, 0.466013, -0.176252, 0.225029], "network.12.weight": [[0.280564, -0.407763, 0.683506, -0.533788, -0.211741, -0.544615]], "network.12.bias": [-0.156794]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6925093531608582, "train_acc": 0.475, "val_loss": 0.6815372705459595, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.687122106552124, "train_acc": 0.545, "val_loss": 0.6746490597724915, "val_acc": 0.62}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6871865093708038, "train_acc": 0.545, "val_loss": 0.6666052937507629, "val_acc": 0.62}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6827069222927094, "train_acc": 0.545, "val_loss": 0.6539045572280884, "val_acc": 0.62}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6686365008354187, "train_acc": 0.545, "val_loss": 0.6277080774307251, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.635674238204956, "train_acc": 0.64, "val_loss": 0.5694202184677124, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5288839638233185, "train_acc": 0.915, "val_loss": 0.5028955340385437, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.42006781697273254, "train_acc": 0.915, "val_loss": 0.47849610447883606, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.3565382659435272, "train_acc": 0.925, "val_loss": 0.4528459906578064, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.349804624915123, "train_acc": 0.93, "val_loss": 0.3849860727787018, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3034876734018326, "train_acc": 0.92, "val_loss": 0.37049010396003723, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.26022766530513763, "train_acc": 0.925, "val_loss": 0.3388826847076416, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.22602937370538712, "train_acc": 0.925, "val_loss": 0.2934921383857727, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.21214140951633453, "train_acc": 0.93, "val_loss": 0.28210386633872986, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.19572673738002777, "train_acc": 0.93, "val_loss": 0.27737659215927124, "val_acc": 0.86}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6815372705459595, "final_val_loss": 0.6277080774307251, "initial_val_acc": 0.62, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5694202184677124, "final_val_loss": 0.27737659215927124, "initial_val_acc": 0.88, "final_val_acc": 0.86, "best_val_acc": 0.9, "best_epoch": 9}, "improvement": 0.28, "first_improvement_epoch": 4}}
|
165
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.54, "improved_accuracy": 0.72, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9821, "learning_rate": 0.09174390295093264, "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: 5
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: [[37.320085, 38.699316, 38.799867, 41.417864, 45.124950, 46.419046, 54.108939, 55.662873, 59.799376, 282.933168], [41.187280, 42.407670, 43.683144, 47.343237, 51.604864, 52.055916, 52.967312, 53.109857, 66.297876, 513.668428], [38.503016, 41.909144, 42.670706, 44.543476, 44.974268, 47.701181, 50.179350, 51.319733, 52.666829, 399.845658], [14.945303, 15.373515, 15.709992, 16.869226, 16.965416, 17.352132, 17.598077, 19.212893, 28.558861, 94.330324], [32.118627, 32.874946, 33.274721, 33.471623, 33.948572, 36.451108, 38.022757, 43.606154, 47.745690, 276.796521], [27.957209, 28.931436, 29.780212, 31.300259, 33.924676, 34.715829, 36.993317, 37.643166, 42.551875, 110.997165], [24.826902, 26.012042, 26.117859, 26.809857, 27.871345, 30.506322, 32.003448, 33.346209, 35.811174, 225.411832], [54.752941, 55.616495, 58.948755, 63.460543, 63.596839, 67.046012, 75.763562, 87.805399, 92.633598, 578.646843]]
### 2
fourier: [[13.198899, 13.296582, 14.339631, 14.587477, 14.967555, 15.053522, 16.100975, 16.280535, 17.196405, 60.146035], [3.721527, 3.944011, 3.998157, 4.132428, 4.143854, 4.355697, 5.443688, 6.346840, 6.509972, 18.438397], [5.543021, 5.714009, 5.820586, 6.082765, 6.266188, 6.640906, 7.281599, 7.686514, 9.549980, 30.362144], [16.900497, 17.571251, 18.141097, 18.526501, 19.459158, 21.850396, 23.669692, 24.974248, 26.133089, 107.487247], [6.528628, 6.941033, 7.444743, 7.814438, 7.915542, 9.635349, 9.901582, 9.954424, 10.398996, 104.501385], [6.381054, 6.600348, 7.217939, 7.344678, 7.530883, 8.370341, 8.584928, 9.194674, 9.214747, 85.411236], [8.566914, 8.616615, 8.641420, 8.982362, 9.071078, 10.792535, 11.208213, 12.446287, 12.472800, 124.275580], [20.550714, 20.590770, 22.769033, 23.771992, 23.976914, 24.627084, 27.219944, 28.513371, 28.666805, 233.513229]]
### 4
fourier: [[5.071372, 5.438568, 5.591586, 5.845643, 6.226973, 6.478267, 6.560282, 7.334830, 8.232942, 47.473206], [6.199419, 6.856295, 6.907625, 6.981337, 7.637711, 7.774169, 8.248046, 9.273328, 10.124751, 85.660540], [3.811655, 3.875837, 3.895073, 4.063470, 4.271951, 4.274473, 4.311863, 5.116625, 6.718014, 124.975415], [1.387547, 1.443664, 1.478124, 1.515263, 1.530192, 1.618493, 1.665913, 1.880368, 1.923534, 26.807681], [3.199202, 3.238387, 3.513365, 3.735086, 3.813262, 4.263009, 4.506317, 4.545634, 4.557507, 33.711742], [3.418970, 3.577273, 3.642050, 3.679632, 3.853926, 3.877504, 4.076844, 4.364446, 4.831945, 9.244082], [3.601075, 3.762699, 3.825048, 3.839779, 3.877711, 4.054705, 4.082863, 4.746120, 6.146026, 36.918194], [1.985832, 2.095356, 2.110169, 2.127219, 2.250143, 2.302617, 2.427825, 2.512783, 3.205110, 111.520236]]
### 6
fourier: [[6.409636, 7.071214, 7.677764, 7.938790, 8.202204, 8.275062, 8.285051, 9.544077, 11.090102, 87.285447], [8.804247, 8.957952, 9.096780, 9.548601, 9.967375, 10.369166, 11.652590, 13.607898, 14.332787, 56.995989], [7.965729, 8.921456, 9.757233, 10.005349, 10.143053, 10.358374, 10.698646, 11.653587, 14.001730, 68.134497], [7.221192, 7.340296, 8.310960, 8.735518, 8.863415, 9.021152, 9.318060, 9.352152, 11.947188, 132.572824], [13.415346, 14.432083, 15.569026, 15.769458, 16.542385, 17.005112, 17.095450, 19.900734, 22.679639, 105.747282], [8.326695, 9.250591, 9.461279, 9.563582, 10.070093, 10.258660, 10.843593, 12.801948, 13.854399, 148.779117], [9.754845, 10.157556, 10.158521, 10.176645, 11.337656, 11.450576, 11.796273, 14.643041, 15.280911, 100.979057], [2.212959, 2.268858, 2.270995, 2.488025, 2.600175, 2.766055, 2.883200, 3.520619, 3.570817, 55.597396]]
### 8
fourier: [[16.878702, 18.943756, 20.823542, 20.882631, 22.014128, 22.153373, 22.297111, 24.969105, 30.322182, 95.172792], [6.446825, 6.777799, 7.197475, 7.839933, 8.254381, 8.686394, 9.043191, 10.344740, 10.447395, 24.194493], [8.908786, 9.700900, 10.238016, 10.469775, 10.928321, 11.201649, 11.513842, 12.976072, 15.125405, 62.755433], [7.596311, 8.049616, 8.115079, 8.237511, 9.008194, 9.165870, 9.355253, 11.000439, 12.094739, 103.585631], [15.875209, 16.073569, 16.266502, 17.161557, 18.837899, 19.040059, 19.109062, 23.047997, 24.492705, 136.407631], [11.974608, 13.647570, 13.681550, 13.684425, 15.077124, 15.563956, 15.704233, 17.774956, 20.500244, 67.583368], [15.001377, 16.908322, 17.160681, 17.284027, 19.006911, 19.218247, 19.232635, 22.233963, 25.625606, 90.847408], [3.885455, 4.009387, 4.187656, 4.254259, 4.370479, 4.557387, 4.938569, 5.570633, 6.179432, 73.406135]]
### 10
fourier: [[35.434058, 35.863152, 41.783671, 41.794943, 42.701476, 42.955734, 44.122067, 46.818178, 59.958739, 241.441583]]
## 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: 5
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: [[37.320085, 38.699316, 38.799867, 41.417864, 45.124950, 46.419046, 54.108939, 55.662873, 59.799376, 282.933168], [41.187280, 42.407670, 43.683144, 47.343237, 51.604864, 52.055916, 52.967312, 53.109857, 66.297876, 513.668428], [38.503016, 41.909144, 42.670706, 44.543476, 44.974268, 47.701181, 50.179350, 51.319733, 52.666829, 399.845658], [14.945303, 15.373515, 15.709992, 16.869226, 16.965416, 17.352132, 17.598077, 19.212893, 28.558861, 94.330324], [32.118627, 32.874946, 33.274721, 33.471623, 33.948572, 36.451108, 38.022757, 43.606154, 47.745690, 276.796521], [27.957209, 28.931436, 29.780212, 31.300259, 33.924676, 34.715829, 36.993317, 37.643166, 42.551875, 110.997165], [24.826902, 26.012042, 26.117859, 26.809857, 27.871345, 30.506322, 32.003448, 33.346209, 35.811174, 225.411832], [54.752941, 55.616495, 58.948755, 63.460543, 63.596839, 67.046012, 75.763562, 87.805399, 92.633598, 578.646843]]
### 2
fourier: [[13.198899, 13.296582, 14.339631, 14.587477, 14.967555, 15.053522, 16.100975, 16.280535, 17.196405, 60.146035], [3.721527, 3.944011, 3.998157, 4.132428, 4.143854, 4.355697, 5.443688, 6.346840, 6.509972, 18.438397], [5.543021, 5.714009, 5.820586, 6.082765, 6.266188, 6.640906, 7.281599, 7.686514, 9.549980, 30.362144], [16.900497, 17.571251, 18.141097, 18.526501, 19.459158, 21.850396, 23.669692, 24.974248, 26.133089, 107.487247], [6.528628, 6.941033, 7.444743, 7.814438, 7.915542, 9.635349, 9.901582, 9.954424, 10.398996, 104.501385], [6.381054, 6.600348, 7.217939, 7.344678, 7.530883, 8.370341, 8.584928, 9.194674, 9.214747, 85.411236], [8.566914, 8.616615, 8.641420, 8.982362, 9.071078, 10.792535, 11.208213, 12.446287, 12.472800, 124.275580], [20.550714, 20.590770, 22.769033, 23.771992, 23.976914, 24.627084, 27.219944, 28.513371, 28.666805, 233.513229]]
### 4
fourier: [[5.071372, 5.438568, 5.591586, 5.845643, 6.226973, 6.478267, 6.560282, 7.334830, 8.232942, 47.473206], [6.199419, 6.856295, 6.907625, 6.981337, 7.637711, 7.774169, 8.248046, 9.273328, 10.124751, 85.660540], [3.811655, 3.875837, 3.895073, 4.063470, 4.271951, 4.274473, 4.311863, 5.116625, 6.718014, 124.975415], [1.387547, 1.443664, 1.478124, 1.515263, 1.530192, 1.618493, 1.665913, 1.880368, 1.923534, 26.807681], [3.199202, 3.238387, 3.513365, 3.735086, 3.813262, 4.263009, 4.506317, 4.545634, 4.557507, 33.711742], [3.418970, 3.577273, 3.642050, 3.679632, 3.853926, 3.877504, 4.076844, 4.364446, 4.831945, 9.244082], [3.601075, 3.762699, 3.825048, 3.839779, 3.877711, 4.054705, 4.082863, 4.746120, 6.146026, 36.918194], [1.985832, 2.095356, 2.110169, 2.127219, 2.250143, 2.302617, 2.427825, 2.512783, 3.205110, 111.520236]]
### 6
fourier: [[6.409636, 7.071214, 7.677764, 7.938790, 8.202204, 8.275062, 8.285051, 9.544077, 11.090102, 87.285447], [8.804247, 8.957952, 9.096780, 9.548601, 9.967375, 10.369166, 11.652590, 13.607898, 14.332787, 56.995989], [7.965729, 8.921456, 9.757233, 10.005349, 10.143053, 10.358374, 10.698646, 11.653587, 14.001730, 68.134497], [7.221192, 7.340296, 8.310960, 8.735518, 8.863415, 9.021152, 9.318060, 9.352152, 11.947188, 132.572824], [13.415346, 14.432083, 15.569026, 15.769458, 16.542385, 17.005112, 17.095450, 19.900734, 22.679639, 105.747282], [8.326695, 9.250591, 9.461279, 9.563582, 10.070093, 10.258660, 10.843593, 12.801948, 13.854399, 148.779117], [9.754845, 10.157556, 10.158521, 10.176645, 11.337656, 11.450576, 11.796273, 14.643041, 15.280911, 100.979057], [2.212959, 2.268858, 2.270995, 2.488025, 2.600175, 2.766055, 2.883200, 3.520619, 3.570817, 55.597396]]
### 8
fourier: [[16.878702, 18.943756, 20.823542, 20.882631, 22.014128, 22.153373, 22.297111, 24.969105, 30.322182, 95.172792], [6.446825, 6.777799, 7.197475, 7.839933, 8.254381, 8.686394, 9.043191, 10.344740, 10.447395, 24.194493], [8.908786, 9.700900, 10.238016, 10.469775, 10.928321, 11.201649, 11.513842, 12.976072, 15.125405, 62.755433], [7.596311, 8.049616, 8.115079, 8.237511, 9.008194, 9.165870, 9.355253, 11.000439, 12.094739, 103.585631], [15.875209, 16.073569, 16.266502, 17.161557, 18.837899, 19.040059, 19.109062, 23.047997, 24.492705, 136.407631], [11.974608, 13.647570, 13.681550, 13.684425, 15.077124, 15.563956, 15.704233, 17.774956, 20.500244, 67.583368], [15.001377, 16.908322, 17.160681, 17.284027, 19.006911, 19.218247, 19.232635, 22.233963, 25.625606, 90.847408], [3.885455, 4.009387, 4.187656, 4.254259, 4.370479, 4.557387, 4.938569, 5.570633, 6.179432, 73.406135]]
### 10
fourier: [[35.434058, 35.863152, 41.783671, 41.794943, 42.701476, 42.955734, 44.122067, 46.818178, 59.958739, 241.441583]]
## 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": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.295435, -1.321557, 0.441304, -0.598378, -0.094643], [-0.326645, -0.590327, -0.78694, -0.566268, -0.620237], [0.202974, -0.345934, -1.094412, -0.505782, -0.627749], [0.004887, -0.462469, -0.215999, 0.306713, -0.364015], [0.578212, -0.802043, -0.723307, -0.079773, -0.597413], [-0.897197, 0.065615, 0.321533, 0.567086, 0.385732], [-0.473278, -0.255475, -0.430134, -0.396985, 0.300398], [-0.756872, -0.645795, -1.276245, -0.028312, -0.867694]], "network.0.bias": [-0.625106, -0.60211, 0.079998, 0.030945, 0.085215, -0.133218, -0.070752, -0.51394], "network.2.weight": [[-0.265413, -0.32101, 0.045713, -1.081673, -0.072818, -0.55169, -0.150317, -1.031328], [-0.1598, 0.189822, -0.405777, -0.204239, -0.421998, 0.177538, -0.065973, -0.969027], [-0.521619, 0.838953, -0.408525, -0.051746, -0.31703, 0.178514, -0.441154, -0.116276], [0.426266, -0.266221, -0.053011, -0.467516, 0.136387, -0.829991, -0.77076, 0.179319], [0.099287, -0.084934, 0.170387, 0.498308, 0.027117, -0.347557, 0.231869, -0.177607], [-0.010443, 0.094577, 0.751116, 0.369362, -0.492628, -0.325168, 0.039812, -0.563], [0.228111, 0.337826, 0.511108, -0.319361, 0.031564, -0.395337, 0.216974, -1.23088], [-0.168539, 0.406522, -0.846399, -0.036318, -0.222531, -1.012965, -0.132332, -0.021242]], "network.2.bias": [0.240064, -0.488168, 0.11544, 0.077291, -0.621984, -0.429749, -0.776688, -0.939727], "network.4.weight": [[0.762946, -0.615027, -0.453815, 0.54933, -0.250831, -0.228941, -0.514629, -0.579922], [0.689916, -0.668591, -0.528722, 0.743196, -0.711361, -0.458595, -0.670855, -1.114661], [0.298171, -0.818401, -1.011244, 0.116835, 0.694194, 0.179564, 0.864631, 0.518754], [-0.00644, 0.036423, 0.072349, 0.342729, 0.608529, 0.678191, 0.276888, -0.238961], [0.295932, -0.010823, -0.6088, -0.018199, -0.751509, -0.707577, -0.380379, -0.081206], [-0.868446, -0.302073, -0.288707, -0.620155, -0.990249, -0.714857, -0.221709, 0.840189], [0.19091, 0.498473, 0.56147, -0.748437, -0.382113, -0.355276, -0.360248, 0.176534], [-0.07846, -1.111588, -0.469191, -0.134631, 0.9856, 0.67052, 0.360228, 0.444072]], "network.4.bias": [0.43913, 0.737872, -0.909322, -0.148505, -0.439613, 0.027052, 0.168143, -0.87064], "network.6.weight": [[-0.984437, -0.281778, 0.285899, -0.016728, -0.226416, 0.050854, 0.076733, 0.557585], [-0.605612, -0.905415, -0.116569, 0.389868, 0.7049, -1.065654, 0.764302, -0.44708], [-0.664635, -0.795983, 0.755472, -0.082134, -0.77661, -0.006188, -0.208237, 0.009421], [-0.649266, -0.771053, 0.573271, -0.643008, 0.862139, 0.330836, -0.400419, 0.04783], [0.876571, 1.157174, -0.959103, 0.183179, 0.90052, -0.322497, -0.611272, -0.615705], [-1.216677, -0.429204, 0.022498, -0.029926, -0.060897, -0.403832, 0.287902, 0.293864], [-0.925547, -0.49594, 0.380842, 0.255368, -0.536351, -0.162306, 0.898511, 0.630841], [-0.294972, 0.061089, 0.162142, 0.399697, 0.012711, 0.190178, 0.566783, 0.096012]], "network.6.bias": [-0.268161, 0.275262, 0.240025, -0.372751, -0.017238, -0.806523, -0.48026, -0.653152], "network.8.weight": [[-0.002685, -0.917956, 0.132822, 0.641715, 1.165353, 0.791432, 0.554765, 0.33271], [0.783544, 0.694124, 0.460973, -0.499895, -0.392993, -0.22129, 0.404984, 0.080686], [0.538045, -0.628187, 0.700892, 0.255551, 0.565292, 0.641617, -0.199791, -0.206747], [-0.174101, 0.446902, -0.23777, 0.167961, -0.525277, 0.263813, 0.395409, 0.39783], [-0.149866, -0.674042, -0.516442, -0.233331, 1.101926, -0.567215, -1.435145, -0.19025], [-0.020496, -0.697623, -0.662134, 0.879571, 0.774826, 0.402179, -0.005097, 0.57567], [0.284605, -1.091478, -0.071055, 0.160667, 0.992587, 0.585105, 0.163353, 0.482038], [-0.451982, 0.457522, -0.791425, 0.29801, -0.255288, 0.038357, 0.081352, 0.02997]], "network.8.bias": [-0.0361, 0.841024, 0.195434, -0.44389, -0.044042, 0.020968, 0.044291, -0.583087], "network.10.weight": [[-0.668747, 0.432828, 0.314958, 0.305233, -0.727349, -0.356868, -0.713366, -0.113719]], "network.10.bias": [-0.115922]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6956851482391357, "train_acc": 0.52, "val_loss": 0.6962504386901855, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6878066062927246, "train_acc": 0.56, "val_loss": 0.7022401690483093, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.682124525308609, "train_acc": 0.56, "val_loss": 0.6596447825431824, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.8963701725006104, "train_acc": 0.535, "val_loss": 0.6564439535140991, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6636257469654083, "train_acc": 0.62, "val_loss": 0.6746164560317993, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6755408644676208, "train_acc": 0.495, "val_loss": 0.625160276889801, "val_acc": 0.54}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6081602871417999, "train_acc": 0.625, "val_loss": 0.6124236583709717, "val_acc": 0.62}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5902944803237915, "train_acc": 0.695, "val_loss": 0.5749832987785339, "val_acc": 0.7}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.5618416368961334, "train_acc": 0.675, "val_loss": 0.5615330338478088, "val_acc": 0.7}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.5371492803096771, "train_acc": 0.725, "val_loss": 0.6274806261062622, "val_acc": 0.62}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.5544275641441345, "train_acc": 0.68, "val_loss": 0.5310884714126587, "val_acc": 0.72}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.512907013297081, "train_acc": 0.71, "val_loss": 0.5315420627593994, "val_acc": 0.7}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.5025309026241302, "train_acc": 0.73, "val_loss": 0.5260387659072876, "val_acc": 0.72}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6962504386901855, "final_val_loss": 0.6596447825431824, "initial_val_acc": 0.52, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6564439535140991, "final_val_loss": 0.5260387659072876, "initial_val_acc": 0.58, "final_val_acc": 0.72, "best_val_acc": 0.72, "best_epoch": 10}, "improvement": 0.17999999999999994, "first_improvement_epoch": 2}}
|
166
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.44, "improved_accuracy": 0.88, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1042, "learning_rate": 0.09726034588695193, "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: 6
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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-1.134088
],
[
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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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[
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1.128272,
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[
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],
"network.2.bias": [
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"network.4.weight": [
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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.8.weight": [
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],
"network.8.bias": [
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"network.10.weight": [
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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: [[53.143061, 53.143247, 55.703861, 56.458921, 57.546513, 58.475533, 61.202604, 64.694570, 68.164345, 71.100163], [27.332924, 27.902720, 28.278667, 30.088646, 31.078268, 35.335847, 35.860617, 38.940826, 45.381762, 46.882908], [18.385678, 19.431983, 20.207354, 20.723027, 22.674380, 22.894129, 23.130200, 24.383483, 29.516112, 62.486842], [22.259794, 22.932063, 27.246658, 27.747027, 27.759516, 29.324923, 29.628736, 36.637931, 38.142182, 270.874756], [27.764662, 31.184307, 31.768933, 31.957870, 33.593701, 34.256873, 35.803087, 38.733707, 40.834407, 44.353012], [21.796176, 22.156768, 22.787888, 26.606170, 26.642037, 27.445459, 29.451714, 31.866766, 35.838390, 227.327318]]
### 2
fourier: [[20.720580, 20.896545, 21.377284, 22.159435, 23.083501, 23.539861, 24.551126, 25.623905, 35.112435, 118.575897], [11.251726, 11.493033, 12.961398, 14.302139, 14.405162, 14.420396, 15.860180, 16.689446, 18.866919, 52.603491], [8.540539, 9.277731, 9.376582, 9.532775, 10.769407, 11.153844, 11.376842, 11.619264, 13.863824, 89.323205], [22.769832, 25.218959, 25.517724, 27.045514, 27.251917, 28.296673, 28.338606, 32.341367, 36.078396, 108.288759], [41.571901, 43.356861, 44.839325, 45.572755, 50.111534, 50.153890, 50.879151, 51.648368, 64.182507, 245.954756], [43.815029, 47.398526, 49.199353, 51.125184, 52.080920, 54.342259, 55.021741, 59.441165, 67.996771, 300.263840]]
### 4
fourier: [[25.996928, 28.818715, 28.886148, 29.409348, 32.051662, 32.533677, 32.817856, 34.389068, 41.787031, 163.283791], [39.370880, 44.207988, 45.518609, 47.552099, 49.365307, 49.391113, 50.239613, 54.482158, 63.169950, 306.795655], [80.168923, 89.809590, 90.389501, 97.271957, 98.933160, 99.310992, 99.454912, 110.286616, 127.741202, 448.596151], [79.430933, 87.733110, 89.540632, 94.860641, 96.602575, 98.591673, 99.057501, 108.905700, 125.413103, 492.740009], [34.210028, 38.440404, 40.421366, 41.787256, 42.224572, 43.651408, 43.939926, 49.657310, 55.946895, 275.795643], [20.870763, 21.515311, 22.342081, 22.403410, 23.202658, 23.619243, 30.765054, 31.301772, 33.757613, 87.567995]]
### 6
fourier: [[0.771760, 0.844559, 0.848110, 0.922097, 0.930583, 0.948450, 0.959284, 1.021302, 1.319919, 47.557024], [15.794486, 15.942900, 16.523284, 16.720787, 17.054691, 17.482456, 20.839694, 21.397245, 22.404381, 308.462426], [58.172824, 62.426575, 64.517594, 66.744091, 69.910839, 71.046934, 71.362863, 76.614330, 94.729540, 231.207013], [27.727224, 32.514314, 33.831893, 35.035017, 35.121129, 35.463298, 36.067314, 39.795778, 46.976829, 179.574179], [29.811756, 35.177572, 35.694580, 37.866673, 38.307339, 38.853841, 39.342774, 43.378894, 49.665204, 248.737988], [24.198391, 29.018152, 29.495240, 30.877940, 31.314456, 31.926748, 32.589956, 35.706486, 40.834311, 198.910848]]
### 8
fourier: [[17.811851, 20.968074, 21.833395, 22.336555, 22.613704, 22.865379, 23.473550, 25.904219, 30.358197, 182.199125], [40.971266, 48.880021, 49.794993, 50.831115, 52.465747, 52.801514, 55.443310, 61.139953, 71.054598, 268.414856], [52.871667, 63.069088, 64.278881, 65.587441, 67.698995, 68.135422, 71.528388, 78.878284, 91.676183, 334.060643], [59.052311, 70.297177, 72.144284, 73.119179, 75.513821, 76.054859, 79.568643, 87.754311, 102.109791, 390.879796], [0.525028, 0.526424, 0.585591, 0.615316, 0.619368, 0.673434, 0.736482, 0.798751, 0.904763, 34.186839], [44.835012, 53.344918, 54.842281, 55.489253, 57.314274, 57.735337, 60.350328, 66.560739, 77.472342, 241.625769]]
### 10
fourier: [[16.678084, 20.108942, 20.295132, 20.753616, 21.475556, 21.781935, 22.721582, 25.185467, 29.038743, 103.630358], [12.180270, 14.124915, 14.756503, 14.990867, 15.145587, 15.367506, 16.185751, 17.602798, 20.898993, 86.628349], [121.816100, 146.717916, 148.230422, 151.534224, 156.768220, 158.886118, 165.836295, 183.727491, 212.005126, 784.850048], [14.946284, 17.235294, 18.102083, 18.364518, 18.455777, 18.801595, 19.786365, 21.460662, 25.587097, 112.382778], [33.985991, 41.157664, 41.376540, 42.343965, 43.862844, 44.631868, 46.431640, 51.576129, 59.272272, 129.747910], [119.630172, 144.065861, 145.565430, 148.810086, 153.944454, 156.007566, 162.848232, 180.404564, 208.191917, 767.958557]]
### 12
fourier: [[7.928704, 8.853936, 9.221111, 9.790389, 10.055391, 10.522354, 10.684952, 12.011306, 13.356146, 30.385703]]
## 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: 6
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: [[53.143061, 53.143247, 55.703861, 56.458921, 57.546513, 58.475533, 61.202604, 64.694570, 68.164345, 71.100163], [27.332924, 27.902720, 28.278667, 30.088646, 31.078268, 35.335847, 35.860617, 38.940826, 45.381762, 46.882908], [18.385678, 19.431983, 20.207354, 20.723027, 22.674380, 22.894129, 23.130200, 24.383483, 29.516112, 62.486842], [22.259794, 22.932063, 27.246658, 27.747027, 27.759516, 29.324923, 29.628736, 36.637931, 38.142182, 270.874756], [27.764662, 31.184307, 31.768933, 31.957870, 33.593701, 34.256873, 35.803087, 38.733707, 40.834407, 44.353012], [21.796176, 22.156768, 22.787888, 26.606170, 26.642037, 27.445459, 29.451714, 31.866766, 35.838390, 227.327318]]
### 2
fourier: [[20.720580, 20.896545, 21.377284, 22.159435, 23.083501, 23.539861, 24.551126, 25.623905, 35.112435, 118.575897], [11.251726, 11.493033, 12.961398, 14.302139, 14.405162, 14.420396, 15.860180, 16.689446, 18.866919, 52.603491], [8.540539, 9.277731, 9.376582, 9.532775, 10.769407, 11.153844, 11.376842, 11.619264, 13.863824, 89.323205], [22.769832, 25.218959, 25.517724, 27.045514, 27.251917, 28.296673, 28.338606, 32.341367, 36.078396, 108.288759], [41.571901, 43.356861, 44.839325, 45.572755, 50.111534, 50.153890, 50.879151, 51.648368, 64.182507, 245.954756], [43.815029, 47.398526, 49.199353, 51.125184, 52.080920, 54.342259, 55.021741, 59.441165, 67.996771, 300.263840]]
### 4
fourier: [[25.996928, 28.818715, 28.886148, 29.409348, 32.051662, 32.533677, 32.817856, 34.389068, 41.787031, 163.283791], [39.370880, 44.207988, 45.518609, 47.552099, 49.365307, 49.391113, 50.239613, 54.482158, 63.169950, 306.795655], [80.168923, 89.809590, 90.389501, 97.271957, 98.933160, 99.310992, 99.454912, 110.286616, 127.741202, 448.596151], [79.430933, 87.733110, 89.540632, 94.860641, 96.602575, 98.591673, 99.057501, 108.905700, 125.413103, 492.740009], [34.210028, 38.440404, 40.421366, 41.787256, 42.224572, 43.651408, 43.939926, 49.657310, 55.946895, 275.795643], [20.870763, 21.515311, 22.342081, 22.403410, 23.202658, 23.619243, 30.765054, 31.301772, 33.757613, 87.567995]]
### 6
fourier: [[0.771760, 0.844559, 0.848110, 0.922097, 0.930583, 0.948450, 0.959284, 1.021302, 1.319919, 47.557024], [15.794486, 15.942900, 16.523284, 16.720787, 17.054691, 17.482456, 20.839694, 21.397245, 22.404381, 308.462426], [58.172824, 62.426575, 64.517594, 66.744091, 69.910839, 71.046934, 71.362863, 76.614330, 94.729540, 231.207013], [27.727224, 32.514314, 33.831893, 35.035017, 35.121129, 35.463298, 36.067314, 39.795778, 46.976829, 179.574179], [29.811756, 35.177572, 35.694580, 37.866673, 38.307339, 38.853841, 39.342774, 43.378894, 49.665204, 248.737988], [24.198391, 29.018152, 29.495240, 30.877940, 31.314456, 31.926748, 32.589956, 35.706486, 40.834311, 198.910848]]
### 8
fourier: [[17.811851, 20.968074, 21.833395, 22.336555, 22.613704, 22.865379, 23.473550, 25.904219, 30.358197, 182.199125], [40.971266, 48.880021, 49.794993, 50.831115, 52.465747, 52.801514, 55.443310, 61.139953, 71.054598, 268.414856], [52.871667, 63.069088, 64.278881, 65.587441, 67.698995, 68.135422, 71.528388, 78.878284, 91.676183, 334.060643], [59.052311, 70.297177, 72.144284, 73.119179, 75.513821, 76.054859, 79.568643, 87.754311, 102.109791, 390.879796], [0.525028, 0.526424, 0.585591, 0.615316, 0.619368, 0.673434, 0.736482, 0.798751, 0.904763, 34.186839], [44.835012, 53.344918, 54.842281, 55.489253, 57.314274, 57.735337, 60.350328, 66.560739, 77.472342, 241.625769]]
### 10
fourier: [[16.678084, 20.108942, 20.295132, 20.753616, 21.475556, 21.781935, 22.721582, 25.185467, 29.038743, 103.630358], [12.180270, 14.124915, 14.756503, 14.990867, 15.145587, 15.367506, 16.185751, 17.602798, 20.898993, 86.628349], [121.816100, 146.717916, 148.230422, 151.534224, 156.768220, 158.886118, 165.836295, 183.727491, 212.005126, 784.850048], [14.946284, 17.235294, 18.102083, 18.364518, 18.455777, 18.801595, 19.786365, 21.460662, 25.587097, 112.382778], [33.985991, 41.157664, 41.376540, 42.343965, 43.862844, 44.631868, 46.431640, 51.576129, 59.272272, 129.747910], [119.630172, 144.065861, 145.565430, 148.810086, 153.944454, 156.007566, 162.848232, 180.404564, 208.191917, 767.958557]]
### 12
fourier: [[7.928704, 8.853936, 9.221111, 9.790389, 10.055391, 10.522354, 10.684952, 12.011306, 13.356146, 30.385703]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [53.143060698981934, 53.14324708678223, 55.70386094300512, 56.458920751644214, 57.54651331428042, 58.475533446506695, 61.20260412944953, 64.69456974667217, 68.16434500917757, 71.10016315281615]}, "1": {"fourier": [27.332923669698125, 27.90272002189442, 28.278667081724745, 30.08864583212209, 31.078267799455613, 35.33584735584671, 35.860616793020164, 38.94082614756161, 45.38176159270606, 46.882907748248236]}, "2": {"fourier": [18.38567829896271, 19.431982510546636, 20.207354403500688, 20.723027299819048, 22.674379761853913, 22.894129001002344, 23.130200401500367, 24.383482846465643, 29.516112198628505, 62.486841827631]}, "3": {"fourier": [22.259794062582877, 22.932063090226947, 27.24665781534593, 27.747026919695806, 27.75951575306051, 29.32492253479812, 29.628736222020972, 36.637930907820724, 38.14218237771293, 270.8747561573982]}, "4": {"fourier": [27.764662357315924, 31.184306504525022, 31.76893293903961, 31.95787015557289, 33.59370089764091, 34.25687336611036, 35.80308691967284, 38.73370655873758, 40.83440708966485, 44.35301223447452]}, "5": {"fourier": [21.796175901399202, 22.156768341255397, 22.787887623220943, 26.606170430041555, 26.642036795085907, 27.44545872293812, 29.4517135126369, 31.866766081529082, 35.83838983895992, 227.32731768488884]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [20.720579513227765, 20.896544875543828, 21.377284140509307, 22.15943496790353, 23.083501305058498, 23.53986062794992, 24.551126286627124, 25.623905460579206, 35.1124347505261, 118.5758969783783]}, "1": {"fourier": [11.251725946315075, 11.493032799104427, 12.961398437629157, 14.302139232463658, 14.405162168490943, 14.420395537344639, 15.860179733292508, 16.689446348814467, 18.866919030448727, 52.603491485118866]}, "2": {"fourier": [8.540539060583347, 9.277730718113574, 9.376582100857318, 9.532775258404252, 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"input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.497396, 0.367949, -0.08919, 0.916471, -1.671441], [-0.273661, 0.249911, 0.623001, 0.131377, -1.160284], [-0.272649, 0.252841, 0.485285, 0.045017, -0.602774], [-0.162531, -0.654002, -0.268721, -0.279294, -0.1749], [-0.177409, 0.479069, 0.437195, 0.010012, -1.134088], [-0.467777, -0.412296, -0.107199, -0.07642, -0.391394]], "network.0.bias": [0.774709, -0.27442, 0.206041, -0.239754, 0.166878, -0.321918], "network.2.weight": [[0.215019, -1.108555, -0.40778, 0.534382, -0.085938, -0.302166], [-0.490315, -0.239907, 0.296306, -0.138947, 0.221759, -0.028062], [-0.144518, 0.072778, -0.573263, 0.416849, 0.041362, -0.044083], [0.448336, 0.390072, -0.114407, -0.081043, 0.559197, -0.54121], [0.432445, 0.996009, -0.053031, -0.187547, 1.128272, -0.062332], [0.842774, 0.34012, 0.332949, -0.411927, 1.006953, -0.13593]], "network.2.bias": [-0.192123, 1.139343, -0.286268, -0.452285, -0.134641, 0.095125], "network.4.weight": [[-0.237008, -0.00455, -0.035327, -0.372293, -0.534135, 0.067619], [0.124485, -0.239489, -0.020114, -0.514898, -0.138753, -0.569813], [-0.530233, -0.720267, 0.170552, 0.610317, 1.071072, 0.521394], [0.236145, 0.443925, -0.578724, -0.409337, -0.630852, -1.018499], [-0.226686, 0.142558, -0.19386, -0.690267, -0.021788, -0.44481], [0.270661, 1.124078, 0.231377, -0.30301, -0.142072, -0.085196]], "network.4.bias": [-0.051259, -0.240549, 0.047081, -0.140957, -0.703734, 1.146015], "network.6.weight": [[-0.270691, -0.15136, -0.007974, -0.035555, -0.037146, 0.01542], [0.310969, -0.231692, -0.2887, -0.097997, 0.367612, -0.731401], [-0.32431, -0.030882, 0.614452, -0.170666, 0.298791, -0.780193], [0.310091, -0.235682, 0.368855, 0.55997, 0.342657, -0.074746], [-0.250383, 0.028867, -0.417178, 0.212703, -0.403233, -0.108267], [0.233059, -0.335128, -0.349139, -0.098109, 0.1919, -0.110338]], "network.6.bias": [-0.50541, -0.921392, 0.452445, 0.13914, -0.463133, -0.237613], "network.8.weight": [[0.359998, 0.261558, -0.083294, -0.499976, 0.074211, 0.258834], [-0.278689, -0.01077, 0.722008, 0.236444, 0.382158, -0.20178], [-0.238316, 0.175687, 0.924808, 0.317028, -0.876799, -0.394693], [0.174601, 0.084233, -0.915004, -0.557211, 0.181739, -0.044611], [0.07756, 0.367551, -0.087182, 0.13812, 0.039102, -0.186204], [-0.384779, 0.35056, 0.672135, 0.461945, 0.303175, 0.309657]], "network.8.bias": [-0.76396, 0.2358, 0.165438, -0.34819, -0.380918, -0.354889], "network.10.weight": [[0.140892, -0.166223, -0.079279, 0.243322, 0.274115, -0.133211], [-0.296428, -0.477443, -0.064175, -0.550084, 0.008464, 0.25293], [-0.609101, -0.553689, -1.167938, 0.747646, 0.021724, -0.877267], [0.050321, -0.243477, -0.39118, -0.116376, 0.098669, 0.368854], [0.115782, 0.197182, 0.179563, -0.149862, 0.167728, 0.385189], [-0.259681, -0.735002, -1.00914, 0.221926, -0.2417, -0.848667]], "network.10.bias": [0.014369, -0.01397, -0.259197, -0.111174, -0.899608, -0.200875], "network.12.weight": [[-0.249963, -0.238466, -0.768883, 0.133376, 0.255751, -0.787054]], "network.12.bias": [-0.810419]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7023096978664398, "train_acc": 0.585, "val_loss": 0.7437832355499268, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6788254380226135, "train_acc": 0.585, "val_loss": 0.6989437341690063, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6950906813144684, "train_acc": 0.465, "val_loss": 0.6920667886734009, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6934162676334381, "train_acc": 0.485, "val_loss": 0.6872033476829529, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6716577708721161, "train_acc": 0.675, "val_loss": 0.5933824777603149, "val_acc": 0.56}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6507573425769806, "train_acc": 0.565, "val_loss": 0.6132746338844299, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6115516722202301, "train_acc": 0.785, "val_loss": 0.5160514116287231, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5834614038467407, "train_acc": 0.77, "val_loss": 0.46209612488746643, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5106106400489807, "train_acc": 0.82, "val_loss": 0.5198314785957336, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.510959580540657, "train_acc": 0.805, "val_loss": 0.4166436791419983, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.44442692399024963, "train_acc": 0.855, "val_loss": 0.4152875542640686, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.4442422538995743, "train_acc": 0.835, "val_loss": 0.4181938171386719, "val_acc": 0.82}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7437832355499268, "final_val_loss": 0.6989437341690063, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6920667886734009, "final_val_loss": 0.4181938171386719, "initial_val_acc": 0.56, "final_val_acc": 0.82, "best_val_acc": 0.88, "best_epoch": 9}, "improvement": 0.44, "first_improvement_epoch": 1}}
|
167
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.58, "improved_accuracy": 0.78, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3456, "learning_rate": 0.09182812704956636, "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: 4
Neurons per Layer: 6
Activation Function: gelu
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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"network.2.bias": [
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"network.4.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[11.434236, 11.811748, 12.566946, 12.708665, 12.726339, 13.398650, 13.653862, 15.672351, 17.877544, 73.239845], [13.898214, 14.827822, 15.088055, 15.141777, 15.825618, 16.658587, 17.433575, 21.195007, 21.652923, 21.914573], [31.824975, 33.922962, 37.891417, 38.652815, 40.212225, 46.490669, 47.565009, 49.244994, 56.655126, 362.513719], [18.407137, 18.910198, 19.734570, 20.152236, 20.542036, 22.097089, 23.105288, 23.546466, 26.593601, 30.650189], [17.264472, 19.138467, 23.534078, 23.760313, 24.340260, 24.991517, 28.231406, 28.495823, 30.186132, 31.859192], [17.458634, 17.939644, 18.404716, 18.530360, 21.188928, 23.591391, 24.028293, 24.439382, 25.503694, 146.861761]]
### 2
fourier: [[3.161238, 3.396312, 3.396665, 3.708387, 3.817808, 3.885045, 3.893025, 4.560135, 5.214425, 33.734637], [10.324088, 10.410167, 10.411621, 11.350566, 11.508525, 11.758191, 12.334132, 12.403246, 12.933496, 14.580094], [7.066038, 7.205465, 7.588927, 7.612808, 8.212994, 8.531405, 10.106426, 10.935791, 12.048043, 19.303119], [11.560898, 11.973754, 13.683829, 13.981182, 14.121632, 14.797247, 15.154938, 15.980169, 16.076943, 16.170383], [8.010020, 8.504105, 8.607580, 9.474182, 9.672796, 9.850695, 10.074910, 10.624939, 10.722986, 60.879262], [6.766996, 7.141168, 7.768785, 7.771890, 7.899101, 8.024421, 8.040954, 8.454585, 8.668179, 40.284244]]
### 4
fourier: [[5.490428, 6.104971, 6.708041, 6.756637, 7.174260, 8.078541, 8.633566, 8.958837, 9.429738, 10.091770], [6.083313, 6.117252, 6.481463, 7.098747, 7.790764, 8.794588, 9.464479, 9.823527, 10.068033, 10.126061], [5.459199, 5.843619, 5.974699, 6.417907, 7.131923, 7.876952, 8.324208, 8.476918, 8.815255, 8.837923], [6.851226, 7.855685, 7.943590, 8.280379, 8.905533, 9.335648, 9.406818, 10.403356, 11.956815, 23.415914], [6.559514, 6.583066, 7.249065, 8.426716, 8.954177, 8.979639, 9.346392, 10.849435, 11.373364, 12.082567], [4.208674, 4.373774, 4.529854, 4.591729, 4.752013, 4.941395, 5.123022, 5.718032, 6.108600, 24.653779]]
### 6
fourier: [[3.494130, 3.577396, 3.726365, 4.199493, 4.378019, 5.075024, 5.232973, 5.702118, 5.931974, 24.614292], [4.608622, 4.852609, 5.066293, 5.623617, 6.179295, 6.619961, 7.142129, 7.496129, 7.929597, 47.336052], [3.585996, 3.668704, 3.746624, 4.423071, 4.425184, 5.306505, 5.487169, 6.173640, 6.325608, 23.534829], [2.667852, 2.884332, 2.905251, 2.940253, 3.258840, 3.369623, 3.649922, 3.887346, 4.080489, 4.310274], [5.276497, 5.390616, 5.410553, 6.492500, 7.147488, 7.158764, 8.478797, 8.994372, 9.122525, 45.064290], [0.947306, 0.958982, 0.998022, 1.014725, 1.083853, 1.117409, 1.372839, 1.487823, 1.679045, 3.348588]]
### 8
fourier: [[3.998160, 4.342377, 4.387503, 4.413868, 5.125527, 5.712776, 5.745119, 5.985804, 6.542869, 73.970528]]
## 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: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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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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0.247524
]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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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.4.bias": [
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],
"network.6.weight": [
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"network.6.bias": [
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"network.8.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[11.434236, 11.811748, 12.566946, 12.708665, 12.726339, 13.398650, 13.653862, 15.672351, 17.877544, 73.239845], [13.898214, 14.827822, 15.088055, 15.141777, 15.825618, 16.658587, 17.433575, 21.195007, 21.652923, 21.914573], [31.824975, 33.922962, 37.891417, 38.652815, 40.212225, 46.490669, 47.565009, 49.244994, 56.655126, 362.513719], [18.407137, 18.910198, 19.734570, 20.152236, 20.542036, 22.097089, 23.105288, 23.546466, 26.593601, 30.650189], [17.264472, 19.138467, 23.534078, 23.760313, 24.340260, 24.991517, 28.231406, 28.495823, 30.186132, 31.859192], [17.458634, 17.939644, 18.404716, 18.530360, 21.188928, 23.591391, 24.028293, 24.439382, 25.503694, 146.861761]]
### 2
fourier: [[3.161238, 3.396312, 3.396665, 3.708387, 3.817808, 3.885045, 3.893025, 4.560135, 5.214425, 33.734637], [10.324088, 10.410167, 10.411621, 11.350566, 11.508525, 11.758191, 12.334132, 12.403246, 12.933496, 14.580094], [7.066038, 7.205465, 7.588927, 7.612808, 8.212994, 8.531405, 10.106426, 10.935791, 12.048043, 19.303119], [11.560898, 11.973754, 13.683829, 13.981182, 14.121632, 14.797247, 15.154938, 15.980169, 16.076943, 16.170383], [8.010020, 8.504105, 8.607580, 9.474182, 9.672796, 9.850695, 10.074910, 10.624939, 10.722986, 60.879262], [6.766996, 7.141168, 7.768785, 7.771890, 7.899101, 8.024421, 8.040954, 8.454585, 8.668179, 40.284244]]
### 4
fourier: [[5.490428, 6.104971, 6.708041, 6.756637, 7.174260, 8.078541, 8.633566, 8.958837, 9.429738, 10.091770], [6.083313, 6.117252, 6.481463, 7.098747, 7.790764, 8.794588, 9.464479, 9.823527, 10.068033, 10.126061], [5.459199, 5.843619, 5.974699, 6.417907, 7.131923, 7.876952, 8.324208, 8.476918, 8.815255, 8.837923], [6.851226, 7.855685, 7.943590, 8.280379, 8.905533, 9.335648, 9.406818, 10.403356, 11.956815, 23.415914], [6.559514, 6.583066, 7.249065, 8.426716, 8.954177, 8.979639, 9.346392, 10.849435, 11.373364, 12.082567], [4.208674, 4.373774, 4.529854, 4.591729, 4.752013, 4.941395, 5.123022, 5.718032, 6.108600, 24.653779]]
### 6
fourier: [[3.494130, 3.577396, 3.726365, 4.199493, 4.378019, 5.075024, 5.232973, 5.702118, 5.931974, 24.614292], [4.608622, 4.852609, 5.066293, 5.623617, 6.179295, 6.619961, 7.142129, 7.496129, 7.929597, 47.336052], [3.585996, 3.668704, 3.746624, 4.423071, 4.425184, 5.306505, 5.487169, 6.173640, 6.325608, 23.534829], [2.667852, 2.884332, 2.905251, 2.940253, 3.258840, 3.369623, 3.649922, 3.887346, 4.080489, 4.310274], [5.276497, 5.390616, 5.410553, 6.492500, 7.147488, 7.158764, 8.478797, 8.994372, 9.122525, 45.064290], [0.947306, 0.958982, 0.998022, 1.014725, 1.083853, 1.117409, 1.372839, 1.487823, 1.679045, 3.348588]]
### 8
fourier: [[3.998160, 4.342377, 4.387503, 4.413868, 5.125527, 5.712776, 5.745119, 5.985804, 6.542869, 73.970528]]
## 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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"num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.404812, -0.131502, 0.049283, 0.198537, -0.251329], [-0.533563, 0.507303, 0.083384, -0.233291, 0.22523], [-0.377208, -0.456569, -0.571842, -0.305192, -0.715506], [-0.335651, -0.077448, -0.363661, 0.336518, 0.445676], [-0.455283, 0.600144, -0.510358, 0.066436, 0.069614], [0.18925, -0.559872, -0.286748, -0.223343, 0.157483]], "network.0.bias": [0.33091, -0.169424, 0.004895, 0.01599, 0.189711, 0.036604], "network.2.weight": [[0.208162, -0.023892, -0.006824, 0.143984, -0.172417, 0.175325], [-0.097403, 0.312752, 0.697814, 0.122791, 0.614872, 0.226235], [0.067871, 0.326897, 0.039856, -0.257262, 0.495609, 0.46184], [-0.3744, 0.509858, 0.236552, 0.106156, 0.487769, -0.009955], [-0.185504, 0.312105, 0.003407, -0.543291, -0.311274, 0.67027], [-0.379495, 0.375615, 0.249877, -0.431261, -0.037667, 0.247524]], "network.2.bias": [0.237637, -0.440618, -0.01915, -0.206571, -0.238789, -0.062997], "network.4.weight": [[-0.023709, 0.363524, 0.154881, 0.294448, 0.20061, 0.125479], [-0.319898, -0.339732, -0.053597, -0.493898, 0.074952, 0.163309], [-0.071468, -0.615677, 0.064041, -0.151908, 0.007515, -0.260879], [-0.281705, 0.115676, 0.525938, 0.266925, 0.268953, 0.31248], [-0.460864, -0.808087, -0.254843, -0.003228, 0.001961, -0.115049], [0.512997, -0.508786, 0.112996, 0.003416, 0.246346, 0.095127]], "network.4.bias": [-0.096753, 0.37163, 0.199152, -0.322618, 0.169069, -0.338426], "network.6.weight": [[0.141041, -0.500459, -0.05218, 0.394516, -0.307923, 0.105186], [-0.418686, 0.264947, 0.376276, -0.32338, 0.369626, -0.092743], [0.009525, -0.294593, 0.024114, 0.605647, -0.654008, 0.281778], [0.227892, -0.465235, -0.347885, 0.034803, -0.349867, 0.178505], [-0.466251, 0.131172, 0.282034, -0.530525, 0.24421, -0.691444], [0.110528, -0.199281, 0.292009, 0.108457, 0.048529, 0.393608]], "network.6.bias": [-0.187068, 0.455635, -0.177446, 0.130125, 0.425468, 0.049026], "network.8.weight": [[0.111952, -0.688532, 0.151166, 0.101942, -0.53086, -0.077342]], "network.8.bias": [-0.291923]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.691582441329956, "train_acc": 0.485, "val_loss": 0.6480283141136169, "val_acc": 0.66}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6458290219306946, "train_acc": 0.625, "val_loss": 0.6097726225852966, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6821046769618988, "train_acc": 0.57, "val_loss": 0.5865570306777954, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6071588397026062, "train_acc": 0.695, "val_loss": 0.7071873545646667, "val_acc": 0.62}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5982050597667694, "train_acc": 0.695, "val_loss": 0.5427306294441223, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5382455289363861, "train_acc": 0.775, "val_loss": 0.5081561207771301, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.522404283285141, "train_acc": 0.745, "val_loss": 0.4889673590660095, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.47964273393154144, "train_acc": 0.75, "val_loss": 0.5654042959213257, "val_acc": 0.72}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5038576424121857, "train_acc": 0.76, "val_loss": 0.5564656853675842, "val_acc": 0.7}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.46724629402160645, "train_acc": 0.795, "val_loss": 0.5835883021354675, "val_acc": 0.76}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.6480283141136169, "final_val_loss": 0.6097726225852966, "initial_val_acc": 0.66, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5865570306777954, "final_val_loss": 0.5835883021354675, "initial_val_acc": 0.78, "final_val_acc": 0.76, "best_val_acc": 0.78, "best_epoch": 2}, "improvement": 0.20000000000000007, "first_improvement_epoch": 1}}
|
168
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.44, "improved_accuracy": 0.82, "improvement": 0.37999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1382, "learning_rate": 0.05187387414183355, "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: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[23.914068, 24.169776, 24.672412, 25.549411, 27.318044, 28.060727, 28.959181, 29.137572, 33.561286, 132.330199], [11.584215, 11.752555, 14.057638, 14.188583, 16.081957, 17.781050, 20.264005, 20.386535, 23.108178, 83.195094], [22.584164, 23.977680, 27.014317, 27.405011, 27.623572, 28.187934, 28.657177, 37.455766, 43.698786, 111.342259], [20.123770, 21.063263, 21.930587, 23.148770, 24.505834, 26.116097, 27.119278, 29.559477, 35.795953, 131.472229], [16.507758, 18.770460, 18.982937, 19.563158, 20.072453, 22.422459, 22.540006, 23.982605, 29.934720, 85.752322]]
### 2
fourier: [[12.503288, 12.743868, 12.948497, 13.503606, 13.580461, 13.805944, 15.242798, 17.359735, 17.484454, 28.054973], [15.194847, 15.388777, 16.557993, 16.589259, 17.577756, 17.828985, 18.664979, 21.237657, 21.567588, 82.910084], [15.339728, 16.489374, 16.583553, 17.780138, 18.347854, 19.297944, 19.737357, 20.857464, 22.200873, 27.190508], [9.232910, 9.802297, 10.564886, 10.739928, 10.807641, 12.629445, 14.722566, 15.554491, 19.354816, 59.813559], [31.847883, 31.894928, 32.307797, 33.057411, 36.572351, 36.680321, 41.117142, 42.699803, 60.303929, 207.823547]]
### 4
fourier: [[8.263914, 8.618532, 8.689966, 9.872902, 10.397170, 10.676146, 12.951177, 13.386483, 16.160081, 109.936282], [12.440381, 12.719664, 13.526596, 13.987642, 15.111160, 16.344596, 17.329914, 21.655173, 21.876104, 52.513455], [19.589181, 20.420386, 22.521211, 22.871623, 23.528859, 23.672508, 27.984929, 30.270403, 36.648468, 142.379416], [7.638458, 7.742453, 7.850312, 8.015239, 8.325238, 10.919359, 11.246707, 11.326929, 11.830305, 26.515778], [4.312097, 4.463512, 4.857808, 4.862210, 5.523686, 5.525006, 6.067115, 6.499045, 7.012037, 12.368236]]
### 6
fourier: [[6.753512, 6.932160, 7.436889, 7.533800, 8.202782, 9.550804, 9.715083, 12.104202, 13.610991, 35.219435], [17.390190, 17.412145, 17.917995, 20.686588, 21.673476, 21.980885, 24.782421, 31.945845, 32.323507, 99.832999], [4.244667, 4.274944, 4.290957, 4.358895, 4.731271, 4.734541, 5.550981, 5.654387, 6.357776, 47.909959], [17.999137, 17.999510, 18.833877, 21.687491, 22.709969, 22.801698, 25.766160, 33.016362, 33.408326, 142.169705], [3.287223, 3.441424, 3.489598, 3.523971, 3.661448, 3.800917, 3.841164, 4.492376, 4.971950, 32.169871]]
### 8
fourier: [[11.340281, 11.897822, 12.079305, 13.678499, 13.719452, 15.310771, 16.964852, 21.064069, 22.909787, 80.945174], [15.176243, 15.716139, 15.763926, 18.605444, 19.082822, 19.631288, 22.234542, 28.159989, 30.283268, 109.419426], [20.406521, 21.047431, 21.261023, 25.141361, 25.469248, 26.213886, 30.196032, 38.426482, 40.850305, 152.137757], [18.590395, 19.345636, 19.461649, 22.689635, 23.601106, 24.104997, 27.093119, 34.279107, 37.310117, 182.985149], [26.047596, 26.764031, 27.043485, 31.843947, 32.680324, 33.289300, 38.073668, 48.466725, 51.912338, 186.888247]]
### 10
fourier: [[11.072366, 11.174619, 11.385928, 13.117820, 13.656786, 15.127544, 15.728311, 18.952577, 21.349768, 99.389748], [5.591405, 5.641990, 5.671302, 5.968464, 6.583534, 7.343582, 7.567688, 8.908123, 9.850602, 40.916790], [4.551285, 4.640620, 4.741994, 5.302025, 5.673376, 5.679326, 6.572797, 8.757759, 9.315511, 88.987659], [11.980192, 12.041101, 12.842033, 12.970319, 14.218762, 16.225596, 16.847746, 18.424097, 20.767167, 151.353406], [9.522889, 9.566269, 9.569852, 10.573794, 11.383503, 12.624514, 13.091236, 15.692681, 17.037938, 68.106426]]
### 12
fourier: [[14.535328, 14.565854, 14.701811, 17.547830, 18.023878, 20.099147, 20.904801, 25.049384, 28.016097, 124.992079]]
## 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: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[23.914068, 24.169776, 24.672412, 25.549411, 27.318044, 28.060727, 28.959181, 29.137572, 33.561286, 132.330199], [11.584215, 11.752555, 14.057638, 14.188583, 16.081957, 17.781050, 20.264005, 20.386535, 23.108178, 83.195094], [22.584164, 23.977680, 27.014317, 27.405011, 27.623572, 28.187934, 28.657177, 37.455766, 43.698786, 111.342259], [20.123770, 21.063263, 21.930587, 23.148770, 24.505834, 26.116097, 27.119278, 29.559477, 35.795953, 131.472229], [16.507758, 18.770460, 18.982937, 19.563158, 20.072453, 22.422459, 22.540006, 23.982605, 29.934720, 85.752322]]
### 2
fourier: [[12.503288, 12.743868, 12.948497, 13.503606, 13.580461, 13.805944, 15.242798, 17.359735, 17.484454, 28.054973], [15.194847, 15.388777, 16.557993, 16.589259, 17.577756, 17.828985, 18.664979, 21.237657, 21.567588, 82.910084], [15.339728, 16.489374, 16.583553, 17.780138, 18.347854, 19.297944, 19.737357, 20.857464, 22.200873, 27.190508], [9.232910, 9.802297, 10.564886, 10.739928, 10.807641, 12.629445, 14.722566, 15.554491, 19.354816, 59.813559], [31.847883, 31.894928, 32.307797, 33.057411, 36.572351, 36.680321, 41.117142, 42.699803, 60.303929, 207.823547]]
### 4
fourier: [[8.263914, 8.618532, 8.689966, 9.872902, 10.397170, 10.676146, 12.951177, 13.386483, 16.160081, 109.936282], [12.440381, 12.719664, 13.526596, 13.987642, 15.111160, 16.344596, 17.329914, 21.655173, 21.876104, 52.513455], [19.589181, 20.420386, 22.521211, 22.871623, 23.528859, 23.672508, 27.984929, 30.270403, 36.648468, 142.379416], [7.638458, 7.742453, 7.850312, 8.015239, 8.325238, 10.919359, 11.246707, 11.326929, 11.830305, 26.515778], [4.312097, 4.463512, 4.857808, 4.862210, 5.523686, 5.525006, 6.067115, 6.499045, 7.012037, 12.368236]]
### 6
fourier: [[6.753512, 6.932160, 7.436889, 7.533800, 8.202782, 9.550804, 9.715083, 12.104202, 13.610991, 35.219435], [17.390190, 17.412145, 17.917995, 20.686588, 21.673476, 21.980885, 24.782421, 31.945845, 32.323507, 99.832999], [4.244667, 4.274944, 4.290957, 4.358895, 4.731271, 4.734541, 5.550981, 5.654387, 6.357776, 47.909959], [17.999137, 17.999510, 18.833877, 21.687491, 22.709969, 22.801698, 25.766160, 33.016362, 33.408326, 142.169705], [3.287223, 3.441424, 3.489598, 3.523971, 3.661448, 3.800917, 3.841164, 4.492376, 4.971950, 32.169871]]
### 8
fourier: [[11.340281, 11.897822, 12.079305, 13.678499, 13.719452, 15.310771, 16.964852, 21.064069, 22.909787, 80.945174], [15.176243, 15.716139, 15.763926, 18.605444, 19.082822, 19.631288, 22.234542, 28.159989, 30.283268, 109.419426], [20.406521, 21.047431, 21.261023, 25.141361, 25.469248, 26.213886, 30.196032, 38.426482, 40.850305, 152.137757], [18.590395, 19.345636, 19.461649, 22.689635, 23.601106, 24.104997, 27.093119, 34.279107, 37.310117, 182.985149], [26.047596, 26.764031, 27.043485, 31.843947, 32.680324, 33.289300, 38.073668, 48.466725, 51.912338, 186.888247]]
### 10
fourier: [[11.072366, 11.174619, 11.385928, 13.117820, 13.656786, 15.127544, 15.728311, 18.952577, 21.349768, 99.389748], [5.591405, 5.641990, 5.671302, 5.968464, 6.583534, 7.343582, 7.567688, 8.908123, 9.850602, 40.916790], [4.551285, 4.640620, 4.741994, 5.302025, 5.673376, 5.679326, 6.572797, 8.757759, 9.315511, 88.987659], [11.980192, 12.041101, 12.842033, 12.970319, 14.218762, 16.225596, 16.847746, 18.424097, 20.767167, 151.353406], [9.522889, 9.566269, 9.569852, 10.573794, 11.383503, 12.624514, 13.091236, 15.692681, 17.037938, 68.106426]]
### 12
fourier: [[14.535328, 14.565854, 14.701811, 17.547830, 18.023878, 20.099147, 20.904801, 25.049384, 28.016097, 124.992079]]
## 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": 0.6831883788108826, "train_acc": 0.575, "val_loss": 0.7125657796859741, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6841554939746857, "train_acc": 0.575, "val_loss": 0.7111575603485107, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.679240882396698, "train_acc": 0.575, "val_loss": 0.7088203430175781, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6711056530475616, "train_acc": 0.575, "val_loss": 0.6985280513763428, "val_acc": 0.44}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6435079574584961, "train_acc": 0.575, "val_loss": 0.6386282444000244, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6677390336990356, "train_acc": 0.515, "val_loss": 0.6388288140296936, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6528648734092712, "train_acc": 0.55, "val_loss": 0.5950228571891785, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6051566898822784, "train_acc": 0.72, "val_loss": 0.5367720127105713, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.6098865270614624, "train_acc": 0.715, "val_loss": 0.4739729166030884, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.567268967628479, "train_acc": 0.72, "val_loss": 0.5220407247543335, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5999264419078827, "train_acc": 0.65, "val_loss": 0.4780017137527466, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.529167890548706, "train_acc": 0.755, "val_loss": 0.6672378778457642, "val_acc": 0.68}], "summary": {"total_epochs": 12, "degraded_epochs": 5, "improved_epochs": 7, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.7125657796859741, "final_val_loss": 0.6386282444000244, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6388288140296936, "final_val_loss": 0.6672378778457642, "initial_val_acc": 0.44, "final_val_acc": 0.68, "best_val_acc": 0.82, "best_epoch": 8}, "improvement": 0.37999999999999995, "first_improvement_epoch": 4}}
|
169
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.76, "improved_accuracy": 0.94, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4149, "learning_rate": 0.02866087014435005, "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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[19.228158, 19.561033, 21.327190, 22.876320, 24.133353, 25.523316, 25.862029, 27.471533, 28.097595, 124.308796], [14.526366, 15.134924, 15.316046, 15.518144, 16.444693, 16.660689, 18.545667, 21.586891, 23.435476, 163.752329], [12.229064, 12.573523, 12.946825, 13.687303, 14.308564, 14.915623, 15.819595, 16.448191, 16.771299, 20.230054], [32.917156, 33.084138, 35.283693, 35.581211, 37.371175, 43.055059, 43.269569, 45.140888, 49.782807, 49.986776], [23.503716, 23.741602, 26.406356, 28.217006, 28.945848, 28.971867, 32.020092, 33.277141, 43.875760, 71.055676], [30.540450, 34.392894, 36.172843, 37.479922, 38.853781, 40.499838, 41.251412, 42.618236, 42.965320, 68.364442]]
### 2
fourier: [[20.491438, 21.318441, 21.632583, 23.564072, 23.733827, 23.876285, 24.368266, 25.673560, 26.276654, 43.522599], [13.151196, 13.482882, 14.996693, 16.286794, 16.480538, 16.645148, 19.292991, 20.426442, 21.964201, 96.642538], [17.234690, 17.644655, 18.439613, 19.854217, 19.880502, 21.013918, 21.859978, 22.941436, 26.893160, 29.783427], [16.252833, 16.995625, 17.595697, 17.943796, 19.762122, 20.172069, 20.269703, 20.823829, 21.388252, 27.473165], [20.620729, 20.895726, 24.127835, 24.249230, 24.584056, 24.669896, 25.791400, 26.670749, 27.210144, 29.582789], [7.344728, 7.604259, 9.123717, 10.254065, 11.049894, 11.673044, 11.751072, 13.196606, 13.984477, 33.297756]]
### 4
fourier: [[4.572619, 4.689108, 4.938315, 5.174355, 5.305849, 5.327089, 5.921490, 6.143891, 7.866117, 28.733925], [17.169898, 17.265498, 17.585685, 17.761858, 19.365883, 20.253935, 21.587015, 21.907159, 25.242815, 27.054200], [13.893728, 14.042033, 14.605167, 15.212071, 16.203001, 17.296443, 19.174110, 19.880295, 22.486817, 31.582434], [2.503390, 2.503682, 2.612391, 2.660403, 3.009280, 3.448762, 3.630417, 3.921578, 4.269060, 48.687550], [2.311173, 2.343152, 2.371154, 2.386329, 2.504032, 2.507961, 2.560371, 3.287296, 3.377805, 66.917611], [17.347624, 18.006677, 18.144758, 18.346425, 21.344795, 22.142852, 23.903021, 24.786585, 28.928485, 38.451473]]
### 6
fourier: [[4.244617, 4.285932, 4.369624, 4.541229, 4.807893, 5.039666, 5.756649, 6.155444, 6.969572, 42.423908], [24.363820, 24.914588, 25.230968, 25.988079, 26.374925, 28.842060, 33.480109, 36.477756, 39.530651, 166.515901], [11.622519, 11.792169, 12.012924, 12.263884, 12.317040, 13.814269, 15.988602, 17.405678, 19.132183, 74.201249], [1.925660, 2.027024, 2.122805, 2.156203, 2.325233, 2.456875, 2.925046, 2.995870, 3.718640, 41.320829], [6.124412, 6.412228, 6.617626, 6.675985, 7.129808, 7.399885, 8.310978, 9.280755, 10.661478, 45.307270], [1.670571, 1.733390, 1.865533, 1.963968, 2.029089, 2.240829, 2.287044, 2.652015, 3.201745, 60.063756]]
### 8
fourier: [[6.542696, 6.563593, 6.759872, 6.897775, 6.999374, 7.858915, 9.096287, 9.825872, 10.516322, 64.166426], [3.635413, 3.695425, 3.726473, 3.826681, 3.922883, 4.257678, 4.924138, 5.403146, 5.968926, 63.660013], [12.184754, 12.475994, 12.482233, 13.133304, 13.143027, 14.340473, 15.390537, 16.680770, 18.212878, 20.032640], [0.728812, 0.777405, 0.780249, 0.787915, 0.802497, 0.926261, 1.026987, 1.136838, 1.234079, 95.682540], [3.607571, 3.650907, 3.678408, 3.762198, 3.899088, 4.233301, 4.900628, 5.369563, 6.026262, 30.938919], [14.306740, 14.652673, 14.745258, 15.365229, 15.577801, 16.884517, 19.654030, 21.422556, 23.364956, 54.118620]]
### 10
fourier: [[9.792576, 9.889549, 10.454119, 10.695485, 10.736496, 11.790831, 13.011032, 13.574263, 15.198110, 64.532355], [8.486028, 8.526734, 8.838618, 9.161763, 9.233020, 10.146764, 11.308305, 11.953783, 13.300657, 34.729168], [3.078444, 3.131523, 3.157559, 3.310745, 3.344695, 3.696498, 4.173635, 4.494214, 4.957684, 82.502784], [7.051225, 7.055058, 7.403985, 7.637509, 7.734458, 8.404789, 8.428362, 9.375545, 9.862746, 11.001269], [9.304796, 9.427997, 9.978716, 10.181156, 10.185113, 11.230210, 12.357875, 12.861803, 14.415532, 19.900313], [5.046684, 5.189731, 5.589935, 5.629135, 5.633695, 6.168467, 6.723695, 6.896462, 7.786215, 90.707040]]
### 12
fourier: [[15.772676, 15.784419, 16.228889, 17.021447, 20.346854, 20.978865, 21.560126, 24.179270, 24.873571, 156.832501]]
## 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: 6
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: [[19.228158, 19.561033, 21.327190, 22.876320, 24.133353, 25.523316, 25.862029, 27.471533, 28.097595, 124.308796], [14.526366, 15.134924, 15.316046, 15.518144, 16.444693, 16.660689, 18.545667, 21.586891, 23.435476, 163.752329], [12.229064, 12.573523, 12.946825, 13.687303, 14.308564, 14.915623, 15.819595, 16.448191, 16.771299, 20.230054], [32.917156, 33.084138, 35.283693, 35.581211, 37.371175, 43.055059, 43.269569, 45.140888, 49.782807, 49.986776], [23.503716, 23.741602, 26.406356, 28.217006, 28.945848, 28.971867, 32.020092, 33.277141, 43.875760, 71.055676], [30.540450, 34.392894, 36.172843, 37.479922, 38.853781, 40.499838, 41.251412, 42.618236, 42.965320, 68.364442]]
### 2
fourier: [[20.491438, 21.318441, 21.632583, 23.564072, 23.733827, 23.876285, 24.368266, 25.673560, 26.276654, 43.522599], [13.151196, 13.482882, 14.996693, 16.286794, 16.480538, 16.645148, 19.292991, 20.426442, 21.964201, 96.642538], [17.234690, 17.644655, 18.439613, 19.854217, 19.880502, 21.013918, 21.859978, 22.941436, 26.893160, 29.783427], [16.252833, 16.995625, 17.595697, 17.943796, 19.762122, 20.172069, 20.269703, 20.823829, 21.388252, 27.473165], [20.620729, 20.895726, 24.127835, 24.249230, 24.584056, 24.669896, 25.791400, 26.670749, 27.210144, 29.582789], [7.344728, 7.604259, 9.123717, 10.254065, 11.049894, 11.673044, 11.751072, 13.196606, 13.984477, 33.297756]]
### 4
fourier: [[4.572619, 4.689108, 4.938315, 5.174355, 5.305849, 5.327089, 5.921490, 6.143891, 7.866117, 28.733925], [17.169898, 17.265498, 17.585685, 17.761858, 19.365883, 20.253935, 21.587015, 21.907159, 25.242815, 27.054200], [13.893728, 14.042033, 14.605167, 15.212071, 16.203001, 17.296443, 19.174110, 19.880295, 22.486817, 31.582434], [2.503390, 2.503682, 2.612391, 2.660403, 3.009280, 3.448762, 3.630417, 3.921578, 4.269060, 48.687550], [2.311173, 2.343152, 2.371154, 2.386329, 2.504032, 2.507961, 2.560371, 3.287296, 3.377805, 66.917611], [17.347624, 18.006677, 18.144758, 18.346425, 21.344795, 22.142852, 23.903021, 24.786585, 28.928485, 38.451473]]
### 6
fourier: [[4.244617, 4.285932, 4.369624, 4.541229, 4.807893, 5.039666, 5.756649, 6.155444, 6.969572, 42.423908], [24.363820, 24.914588, 25.230968, 25.988079, 26.374925, 28.842060, 33.480109, 36.477756, 39.530651, 166.515901], [11.622519, 11.792169, 12.012924, 12.263884, 12.317040, 13.814269, 15.988602, 17.405678, 19.132183, 74.201249], [1.925660, 2.027024, 2.122805, 2.156203, 2.325233, 2.456875, 2.925046, 2.995870, 3.718640, 41.320829], [6.124412, 6.412228, 6.617626, 6.675985, 7.129808, 7.399885, 8.310978, 9.280755, 10.661478, 45.307270], [1.670571, 1.733390, 1.865533, 1.963968, 2.029089, 2.240829, 2.287044, 2.652015, 3.201745, 60.063756]]
### 8
fourier: [[6.542696, 6.563593, 6.759872, 6.897775, 6.999374, 7.858915, 9.096287, 9.825872, 10.516322, 64.166426], [3.635413, 3.695425, 3.726473, 3.826681, 3.922883, 4.257678, 4.924138, 5.403146, 5.968926, 63.660013], [12.184754, 12.475994, 12.482233, 13.133304, 13.143027, 14.340473, 15.390537, 16.680770, 18.212878, 20.032640], [0.728812, 0.777405, 0.780249, 0.787915, 0.802497, 0.926261, 1.026987, 1.136838, 1.234079, 95.682540], [3.607571, 3.650907, 3.678408, 3.762198, 3.899088, 4.233301, 4.900628, 5.369563, 6.026262, 30.938919], [14.306740, 14.652673, 14.745258, 15.365229, 15.577801, 16.884517, 19.654030, 21.422556, 23.364956, 54.118620]]
### 10
fourier: [[9.792576, 9.889549, 10.454119, 10.695485, 10.736496, 11.790831, 13.011032, 13.574263, 15.198110, 64.532355], [8.486028, 8.526734, 8.838618, 9.161763, 9.233020, 10.146764, 11.308305, 11.953783, 13.300657, 34.729168], [3.078444, 3.131523, 3.157559, 3.310745, 3.344695, 3.696498, 4.173635, 4.494214, 4.957684, 82.502784], [7.051225, 7.055058, 7.403985, 7.637509, 7.734458, 8.404789, 8.428362, 9.375545, 9.862746, 11.001269], [9.304796, 9.427997, 9.978716, 10.181156, 10.185113, 11.230210, 12.357875, 12.861803, 14.415532, 19.900313], [5.046684, 5.189731, 5.589935, 5.629135, 5.633695, 6.168467, 6.723695, 6.896462, 7.786215, 90.707040]]
### 12
fourier: [[15.772676, 15.784419, 16.228889, 17.021447, 20.346854, 20.978865, 21.560126, 24.179270, 24.873571, 156.832501]]
## 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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9.427997206748367, 9.978715816167398, 10.18115562878992, 10.185113320812443, 11.230210301882245, 12.357874623540335, 12.861802780600426, 14.41553159756645, 19.900313336402178]}, "5": {"fourier": [5.046684079419684, 5.189730559168017, 5.589934622418149, 5.629134809464175, 5.633694991196168, 6.168466991171183, 6.72369517134547, 6.896462353413874, 7.7862153791713204, 90.70704048871994]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [15.772676027409412, 15.784418681026786, 16.228889465380586, 17.02144733228384, 20.346854316852166, 20.978864903998286, 21.560126372887144, 24.179269660093098, 24.873571138667288, 156.83250132203102]}}, "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": 6, "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": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.20769, 0.701142, 0.062532, -0.097652, -0.213615], [-0.287911, 0.036341, -0.295892, -0.118962, -0.191125], [-0.358969, -0.270779, 0.290904, 0.189523, -0.035928], [-1.044639, -0.360819, 0.01178, 0.583883, -0.103957], [0.808736, -0.171582, -0.153947, 0.102403, 0.47104], [-1.084638, -0.400028, 0.208225, 0.113578, 0.013818]], "network.0.bias": [0.18736, -0.41849, -0.137812, 0.413641, -0.383227, 0.623543], "network.2.weight": [[-0.392437, -0.10041, 0.269051, 0.289879, -0.510572, 0.584646], [0.259961, 0.066326, 0.371721, -0.127866, 0.545122, -0.129616], [-0.579858, -0.438733, 0.521123, 0.397017, -0.235048, 0.170163], [-0.366891, -0.235684, 0.123769, 0.55909, -0.322644, 0.194498], [-0.498146, 0.278008, 0.031664, 0.554513, -0.385016, 0.644322], [-0.419164, 0.166524, 0.119835, -0.154026, -0.016955, 0.251434]], "network.2.bias": [0.048667, 0.133937, 0.190433, 0.004485, 0.061616, 0.211238], "network.4.weight": [[-0.341036, -0.288446, -0.017071, -0.117183, -0.224157, 0.326102], [0.420977, -0.655785, 0.445577, 0.192536, 0.598851, -0.08468], [0.32355, -0.243037, 0.428249, 0.51412, 0.504372, 0.327382], [0.045625, 0.054214, 0.032177, -0.112984, 0.351618, 0.260617], [-0.034622, -0.032185, -0.429702, -0.02095, 0.14883, -0.222046], [0.644291, -0.487028, 0.076789, 0.649753, 0.704964, -0.12612]], "network.4.bias": [0.244744, 0.258052, -0.135366, 0.298146, -0.569645, 0.121929], "network.6.weight": [[-0.190076, -0.266959, -0.037418, -0.008082, -0.211572, -0.036137], [-0.401993, 0.653019, 0.703153, 0.257152, -0.157062, 0.511081], [-0.343392, 0.681169, 0.234206, 0.288302, -0.100181, -0.016922], [-0.063116, -0.261006, 0.360197, 0.262495, -0.432085, -0.255327], [0.046063, -0.376815, 0.264967, 0.212522, 0.256766, -0.365246], [0.01065, 0.230604, -0.238918, 0.018065, 0.09519, 0.118051]], "network.6.bias": [-0.229541, 0.422638, 0.073258, 0.472051, -0.238763, 0.556576], "network.8.weight": [[0.037075, -0.123785, -0.388573, -0.195919, -0.154215, 0.356061], [-0.087283, -0.091508, -0.075973, -0.011806, 0.250661, -0.294457], [0.145399, 0.259829, 0.469348, -0.421023, 0.276351, -0.21146], [0.097748, 0.025638, -0.017998, 0.261, -0.510047, 0.460385], [0.2205, 0.053732, -0.386672, 0.110515, -0.264372, -0.115609], [0.226654, 0.477987, 0.231967, -0.409823, -0.02581, -0.43448]], "network.8.bias": [-0.310663, -0.273421, -0.360997, 0.602682, -0.098301, 0.005057], "network.10.weight": [[-0.186292, 0.118589, -0.254093, 0.361155, -0.114442, -0.537083], [-0.097384, -0.15422, 0.08864, 0.166457, 0.278457, 0.537608], [-0.23228, 0.303297, 0.033665, -0.395403, -0.044219, -0.228816], [0.002618, -0.141416, 0.09918, -0.359353, -0.170912, 0.454427], [0.025896, -0.089265, 0.278565, -0.183317, -0.361369, 0.473779], [0.333108, 0.192702, -0.228406, 0.624787, -0.259729, -0.230281]], "network.10.bias": [0.82511, -0.208524, -0.351011, 0.11159, -0.042702, 0.608722], "network.12.weight": [[-1.006563, 0.359803, -0.308981, 0.376564, 0.303961, -0.862675]], "network.12.bias": [-0.346231]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6903882324695587, "train_acc": 0.58, "val_loss": 0.6862959265708923, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6821897029876709, "train_acc": 0.57, "val_loss": 0.6734247803688049, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6638528108596802, "train_acc": 0.57, "val_loss": 0.6365523934364319, "val_acc": 0.76}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6302856206893921, "train_acc": 0.715, "val_loss": 0.5698708295822144, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.533639132976532, "train_acc": 0.805, "val_loss": 0.4655805230140686, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4267518073320389, "train_acc": 0.865, "val_loss": 0.4328414797782898, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.45379090309143066, "train_acc": 0.845, "val_loss": 0.34686753153800964, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3928079307079315, "train_acc": 0.865, "val_loss": 0.4117240011692047, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.43073832988739014, "train_acc": 0.82, "val_loss": 0.3024623394012451, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.323369637131691, "train_acc": 0.87, "val_loss": 0.30084776878356934, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.36471110582351685, "train_acc": 0.87, "val_loss": 0.2600044012069702, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.31132717430591583, "train_acc": 0.87, "val_loss": 0.3044387400150299, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3148815184831619, "train_acc": 0.87, "val_loss": 0.2434915155172348, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6862959265708923, "final_val_loss": 0.6365523934364319, "initial_val_acc": 0.54, "final_val_acc": 0.76, "best_val_acc": 0.76}, "improved_stage": {"initial_val_loss": 0.5698708295822144, "final_val_loss": 0.2434915155172348, "initial_val_acc": 0.74, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 12}, "improvement": 0.17999999999999994, "first_improvement_epoch": 2}}
|
170
|
{"target_pattern": "mountain_pattern", "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": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1114, "learning_rate": 0.04803699167269308, "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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.728398,
0.606771,
-0.252436,
-0.288649,
0.086219
],
[
0.593334,
0.412809,
0.071025,
-0.119591,
-0.010111
],
[
0.168355,
0.560979,
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0.092083
],
[
0.330257,
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0.044417,
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0.574892
],
[
-0.283259,
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]
],
"network.0.bias": [
0.515845,
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-0.062718
],
"network.2.weight": [
[
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0.819997,
0.14593
],
[
0.247567,
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0.109616
],
[
-0.626266,
0.377368,
0.054778,
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],
[
0.8764,
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0.245028,
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],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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0.043461
],
[
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0.093407,
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],
[
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0.224576,
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0.100105
],
[
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]
],
"network.4.bias": [
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0.49623,
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],
"network.6.weight": [
[
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],
[
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],
[
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],
[
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[
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]
],
"network.6.bias": [
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"network.8.weight": [
[
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[
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[
0.556754,
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[
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[
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],
"network.8.bias": [
0.007684,
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],
"network.10.weight": [
[
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],
[
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],
[
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],
[
0.403252,
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],
[
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]
],
"network.10.bias": [
0.301653,
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],
"network.12.weight": [
[
0.310838,
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]
],
"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[26.762187, 27.781389, 28.171507, 28.480693, 30.970853, 31.338006, 33.228840, 33.394868, 33.858183, 133.920182], [22.591221, 22.671604, 24.565581, 24.936643, 26.255926, 26.414473, 26.770169, 27.024826, 29.607410, 133.387648], [13.946135, 14.037150, 14.300777, 14.500635, 14.644708, 14.885924, 17.408437, 18.785720, 23.412661, 24.790599], [25.176486, 25.196064, 25.350234, 26.074590, 26.726257, 27.414241, 27.474572, 28.555784, 31.585524, 48.804259], [18.138144, 18.298563, 20.351683, 21.219185, 22.160310, 22.266218, 23.053542, 25.792858, 30.688688, 199.925542]]
### 2
fourier: [[44.290184, 45.629948, 48.130438, 49.252944, 50.710289, 54.096336, 59.245971, 59.349715, 59.670356, 259.732469], [18.312224, 18.575604, 18.642072, 19.651155, 21.474945, 22.680418, 22.813269, 23.120372, 23.985384, 100.542353], [9.729245, 9.931568, 11.264900, 11.396179, 11.441509, 11.689499, 12.488866, 12.775039, 13.766147, 72.175365], [32.283941, 33.020225, 35.388175, 36.227307, 37.994696, 38.169435, 41.987568, 42.206882, 42.825094, 187.482326], [6.786047, 6.880744, 6.896273, 7.043317, 8.058776, 8.097626, 8.547383, 9.337032, 9.775244, 10.587488]]
### 4
fourier: [[7.112851, 7.167606, 7.209822, 7.431160, 7.659515, 8.497945, 8.514819, 8.943686, 9.126688, 58.539337], [18.699689, 18.703333, 20.295022, 21.009396, 21.970453, 22.132356, 24.075515, 24.207318, 24.768692, 133.771303], [11.858464, 13.248997, 13.841157, 14.044343, 14.232177, 14.417085, 15.146447, 15.510391, 15.520761, 24.232259], [20.989441, 22.280165, 23.164727, 24.278304, 24.644808, 26.392993, 28.830597, 28.984847, 29.080087, 151.357024], [67.452095, 68.734234, 72.204662, 73.761769, 77.599050, 80.718668, 88.636147, 88.989345, 90.346669, 370.414943]]
### 6
fourier: [[49.768687, 51.629214, 53.531824, 53.956347, 57.276087, 60.040317, 65.058632, 65.883830, 66.788135, 256.137935], [5.002448, 5.017253, 5.687759, 5.718175, 6.044105, 6.462572, 6.696242, 7.310119, 7.694396, 33.791870], [9.328613, 9.672248, 9.999058, 10.063603, 10.680344, 11.251935, 12.114699, 12.324012, 12.465631, 88.195682], [52.598047, 54.633597, 57.029358, 57.672856, 61.252866, 63.479885, 69.796635, 69.957873, 71.275062, 297.854703], [26.583403, 27.572298, 28.560295, 28.772795, 30.540769, 32.067990, 34.674547, 35.167188, 35.623760, 87.878980]]
### 8
fourier: [[28.137900, 29.602519, 31.114794, 31.351695, 33.462519, 34.317908, 37.985907, 38.411703, 39.127301, 165.313062], [3.874864, 3.981628, 4.003229, 4.063743, 4.148394, 4.355158, 4.556080, 4.653085, 4.914778, 48.890651], [74.855730, 77.687071, 80.652309, 80.699848, 84.703557, 90.889374, 96.090867, 98.402468, 99.279491, 376.701487], [7.059119, 7.109871, 7.115956, 7.194877, 7.218700, 7.876777, 8.313108, 8.372774, 8.764503, 28.657937], [65.874606, 69.098535, 71.913252, 72.180804, 75.723777, 80.800658, 86.445779, 87.646280, 89.209369, 339.014186]]
### 10
fourier: [[4.348882, 4.596921, 4.819474, 4.973622, 5.014244, 5.141171, 5.671557, 5.872792, 6.068989, 6.087370], [14.249407, 15.502599, 16.057512, 16.209253, 16.989684, 17.990087, 19.685419, 19.751853, 20.218640, 87.362181], [101.850287, 109.755470, 113.681882, 114.654679, 119.761016, 127.767360, 138.642276, 139.213171, 142.286965, 576.212855], [40.596204, 43.990811, 45.554367, 45.977010, 48.088000, 51.127450, 55.805172, 55.819951, 57.195965, 215.280967], [15.128798, 16.372315, 16.968933, 17.112310, 17.933791, 19.022641, 20.791140, 20.803007, 21.315363, 28.996581]]
### 12
fourier: [[66.387092, 72.138703, 73.067494, 74.376068, 76.763972, 83.775421, 88.636532, 90.258178, 91.978829, 330.677467]]
## 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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.606771,
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0.086219
],
[
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0.071025,
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],
[
0.168355,
0.560979,
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0.092083
],
[
0.330257,
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0.044417,
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0.574892
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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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0.109616
],
[
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0.054778,
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],
[
0.8764,
0.307903,
0.353656,
0.245028,
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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.6.weight": [
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],
[
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],
[
0.121318,
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0.095638,
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],
[
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[
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]
],
"network.6.bias": [
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"network.8.weight": [
[
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[
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"network.10.weight": [
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0.403252,
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"network.10.bias": [
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"network.12.weight": [
[
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],
"network.12.bias": [
0.14271
]
}
## Activation Signature
### 0
fourier: [[26.762187, 27.781389, 28.171507, 28.480693, 30.970853, 31.338006, 33.228840, 33.394868, 33.858183, 133.920182], [22.591221, 22.671604, 24.565581, 24.936643, 26.255926, 26.414473, 26.770169, 27.024826, 29.607410, 133.387648], [13.946135, 14.037150, 14.300777, 14.500635, 14.644708, 14.885924, 17.408437, 18.785720, 23.412661, 24.790599], [25.176486, 25.196064, 25.350234, 26.074590, 26.726257, 27.414241, 27.474572, 28.555784, 31.585524, 48.804259], [18.138144, 18.298563, 20.351683, 21.219185, 22.160310, 22.266218, 23.053542, 25.792858, 30.688688, 199.925542]]
### 2
fourier: [[44.290184, 45.629948, 48.130438, 49.252944, 50.710289, 54.096336, 59.245971, 59.349715, 59.670356, 259.732469], [18.312224, 18.575604, 18.642072, 19.651155, 21.474945, 22.680418, 22.813269, 23.120372, 23.985384, 100.542353], [9.729245, 9.931568, 11.264900, 11.396179, 11.441509, 11.689499, 12.488866, 12.775039, 13.766147, 72.175365], [32.283941, 33.020225, 35.388175, 36.227307, 37.994696, 38.169435, 41.987568, 42.206882, 42.825094, 187.482326], [6.786047, 6.880744, 6.896273, 7.043317, 8.058776, 8.097626, 8.547383, 9.337032, 9.775244, 10.587488]]
### 4
fourier: [[7.112851, 7.167606, 7.209822, 7.431160, 7.659515, 8.497945, 8.514819, 8.943686, 9.126688, 58.539337], [18.699689, 18.703333, 20.295022, 21.009396, 21.970453, 22.132356, 24.075515, 24.207318, 24.768692, 133.771303], [11.858464, 13.248997, 13.841157, 14.044343, 14.232177, 14.417085, 15.146447, 15.510391, 15.520761, 24.232259], [20.989441, 22.280165, 23.164727, 24.278304, 24.644808, 26.392993, 28.830597, 28.984847, 29.080087, 151.357024], [67.452095, 68.734234, 72.204662, 73.761769, 77.599050, 80.718668, 88.636147, 88.989345, 90.346669, 370.414943]]
### 6
fourier: [[49.768687, 51.629214, 53.531824, 53.956347, 57.276087, 60.040317, 65.058632, 65.883830, 66.788135, 256.137935], [5.002448, 5.017253, 5.687759, 5.718175, 6.044105, 6.462572, 6.696242, 7.310119, 7.694396, 33.791870], [9.328613, 9.672248, 9.999058, 10.063603, 10.680344, 11.251935, 12.114699, 12.324012, 12.465631, 88.195682], [52.598047, 54.633597, 57.029358, 57.672856, 61.252866, 63.479885, 69.796635, 69.957873, 71.275062, 297.854703], [26.583403, 27.572298, 28.560295, 28.772795, 30.540769, 32.067990, 34.674547, 35.167188, 35.623760, 87.878980]]
### 8
fourier: [[28.137900, 29.602519, 31.114794, 31.351695, 33.462519, 34.317908, 37.985907, 38.411703, 39.127301, 165.313062], [3.874864, 3.981628, 4.003229, 4.063743, 4.148394, 4.355158, 4.556080, 4.653085, 4.914778, 48.890651], [74.855730, 77.687071, 80.652309, 80.699848, 84.703557, 90.889374, 96.090867, 98.402468, 99.279491, 376.701487], [7.059119, 7.109871, 7.115956, 7.194877, 7.218700, 7.876777, 8.313108, 8.372774, 8.764503, 28.657937], [65.874606, 69.098535, 71.913252, 72.180804, 75.723777, 80.800658, 86.445779, 87.646280, 89.209369, 339.014186]]
### 10
fourier: [[4.348882, 4.596921, 4.819474, 4.973622, 5.014244, 5.141171, 5.671557, 5.872792, 6.068989, 6.087370], [14.249407, 15.502599, 16.057512, 16.209253, 16.989684, 17.990087, 19.685419, 19.751853, 20.218640, 87.362181], [101.850287, 109.755470, 113.681882, 114.654679, 119.761016, 127.767360, 138.642276, 139.213171, 142.286965, 576.212855], [40.596204, 43.990811, 45.554367, 45.977010, 48.088000, 51.127450, 55.805172, 55.819951, 57.195965, 215.280967], [15.128798, 16.372315, 16.968933, 17.112310, 17.933791, 19.022641, 20.791140, 20.803007, 21.315363, 28.996581]]
### 12
fourier: [[66.387092, 72.138703, 73.067494, 74.376068, 76.763972, 83.775421, 88.636532, 90.258178, 91.978829, 330.677467]]
## 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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21.21918474255296, 22.160309716831854, 22.26621751630288, 23.053542371030538, 25.79285848759463, 30.68868803332654, 199.92554214596748]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [44.29018399859603, 45.62994809650811, 48.130437554320686, 49.252943934348764, 50.71028860181608, 54.096335521278114, 59.24597127623792, 59.34971463717947, 59.670355863353876, 259.732468560338]}, "1": {"fourier": [18.31222373431168, 18.575603627664634, 18.642072235158683, 19.65115546765631, 21.474944597907736, 22.680417683286095, 22.813269256472253, 23.120372351014836, 23.985384025553536, 100.54235346615314]}, "2": {"fourier": [9.7292445189701, 9.931567832084166, 11.264900145771225, 11.396178583570475, 11.441509431233225, 11.68949888661901, 12.488865594952655, 12.775038857608, 13.766147480628419, 72.17536512762308]}, "3": {"fourier": [32.283940603191496, 33.02022462155334, 35.38817492383661, 36.227306606319516, 37.99469621619266, 38.169435246056985, 41.987567555206, 42.20688236538573, 42.82509386202232, 187.48232550919056]}, "4": {"fourier": [6.786046562402747, 6.880743821395225, 6.896272578220435, 7.043317488053729, 8.058776025536549, 8.097626135956522, 8.547383386966168, 9.337031810253123, 9.775244322188529, 10.587487928608292]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [7.112850722595676, 7.167605646851562, 7.209822353741689, 7.431160270864581, 7.659514927609071, 8.49794477309591, 8.514818528419374, 8.943685642629168, 9.126687836087196, 58.53933723270893]}, "1": {"fourier": [18.6996887652809, 18.70333267439089, 20.295021640466647, 21.00939607290396, 21.970453180422904, 22.132356157503562, 24.075515353773948, 24.207317867198064, 24.7686921384245, 133.77130314707756]}, "2": {"fourier": [11.858464140640676, 13.248997417487097, 13.84115735156964, 14.044342593304386, 14.232176749127293, 14.417084613431092, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.728398, 0.606771, -0.252436, -0.288649, 0.086219], [0.593334, 0.412809, 0.071025, -0.119591, -0.010111], [0.168355, 0.560979, -0.197365, -0.194829, 0.092083], [0.330257, -0.288275, 0.044417, -0.493506, 0.574892], [-0.283259, -0.210034, -0.247217, -0.247857, -0.304478]], "network.0.bias": [0.515845, 0.112046, -0.255091, -0.171474, -0.062718], "network.2.weight": [[0.814194, 0.746315, 0.604721, 0.819997, 0.14593], [0.247567, 0.34727, -0.004173, 0.71906, 0.109616], [-0.626266, 0.377368, 0.054778, -0.434645, -0.359756], [0.8764, 0.307903, 0.353656, 0.245028, -0.253787], [-0.38681, 0.03943, 0.38943, -0.225679, -0.347698]], "network.2.bias": [-0.224953, -0.093628, -0.212137, -0.09572, 0.478433], "network.4.weight": [[-0.496141, 0.113332, -0.225273, 0.39802, -0.47862], [-0.177261, 0.121887, -0.415068, -0.391627, 0.043461], [-0.339628, 0.387354, 0.093407, -0.099991, -0.030545], [-0.409967, -0.132901, 0.224576, -0.030155, 0.100105], [0.632901, 0.508015, 0.027915, 0.910343, -0.608249]], "network.4.bias": [-0.055226, -0.298787, 0.49623, -0.306233, -0.04654], "network.6.weight": [[-0.192189, 0.000826, -0.389119, 0.062879, 0.734297], [0.076216, 0.347226, -0.406634, 0.097735, -0.08949], [0.121318, 0.216712, 0.095638, 0.373991, -0.136585], [-0.005502, -0.380853, -0.116191, 0.321228, 0.7897], [-0.123892, 0.108169, 0.229391, -0.052076, -0.391219]], "network.6.bias": [-0.127235, 0.082016, -0.431783, 0.048623, 0.603012], "network.8.weight": [[-0.170744, -0.017204, 0.152336, -0.393625, -0.164114], [0.161781, -0.107256, 0.346498, -0.210156, 0.191832], [0.556754, -0.284608, 0.232406, 0.851183, -0.843184], [0.099894, 0.394192, 0.376052, -0.201787, 0.318136], [0.917621, 0.012571, 0.085512, 0.381934, -0.483767]], "network.8.bias": [0.007684, -0.369973, -0.034602, -0.025587, -0.047273], "network.10.weight": [[-0.421876, 0.319985, -0.288864, 0.15394, 0.252763], [-0.336792, 0.43246, 0.034327, -0.082343, -0.266713], [-0.345822, -0.387203, 0.885828, -0.432559, 0.620825], [0.403252, -0.017915, 0.172979, 0.063662, 0.453826], [0.114107, -0.365329, 0.020495, -0.003892, -0.263454]], "network.10.bias": [0.301653, -0.080377, 0.154172, -0.12767, 0.611254], "network.12.weight": [[0.310838, -0.014581, -0.506221, -0.315694, 0.488331]], "network.12.bias": [0.14271]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6758647263050079, "train_acc": 0.63, "val_loss": 0.6987246870994568, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6674523651599884, "train_acc": 0.58, "val_loss": 0.6821327209472656, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6407355964183807, "train_acc": 0.58, "val_loss": 0.6110643744468689, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6090933680534363, "train_acc": 0.5, "val_loss": 0.5072776675224304, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.507385790348053, "train_acc": 0.625, "val_loss": 0.42570072412490845, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.46512559056282043, "train_acc": 0.84, "val_loss": 0.36781397461891174, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4150876849889755, "train_acc": 0.85, "val_loss": 0.3613322377204895, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3699953258037567, "train_acc": 0.86, "val_loss": 0.3097915053367615, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.36666619777679443, "train_acc": 0.865, "val_loss": 0.3225313425064087, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.32205788791179657, "train_acc": 0.88, "val_loss": 0.3130330741405487, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3260186016559601, "train_acc": 0.875, "val_loss": 0.29863491654396057, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2533603087067604, "train_acc": 0.895, "val_loss": 0.3831683099269867, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3115711510181427, "train_acc": 0.84, "val_loss": 0.3039243221282959, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6987246870994568, "final_val_loss": 0.6110643744468689, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5072776675224304, "final_val_loss": 0.3039243221282959, "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}}
|
171
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.62, "improved_accuracy": 0.94, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7709, "learning_rate": 0.024227013880316017, "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: 4
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: [[17.783275, 18.276603, 20.770146, 21.272370, 21.302343, 22.429582, 27.046971, 27.084507, 29.497141, 187.921592], [9.532336, 9.944132, 10.244800, 10.522899, 10.544242, 10.745426, 11.111249, 12.717839, 14.316159, 50.450251], [15.271407, 15.640037, 16.213736, 16.609817, 17.276637, 21.586964, 22.661356, 23.671054, 24.801035, 195.539858], [22.444112, 22.692711, 23.869771, 26.002052, 27.729088, 28.306712, 29.513090, 30.405640, 30.827483, 40.863503], [26.783262, 27.429825, 29.740283, 29.799519, 31.020469, 34.790027, 36.378990, 40.534899, 46.762862, 220.249975], [27.370211, 27.778486, 27.813343, 29.470716, 30.510252, 30.973251, 32.031005, 35.962327, 38.638688, 107.813538], [28.690040, 31.782536, 32.296409, 32.311584, 32.648177, 35.107270, 35.748543, 38.447359, 39.318345, 195.342249]]
### 2
fourier: [[5.589295, 5.901759, 7.158260, 7.584054, 7.638729, 8.617713, 9.055842, 9.343715, 9.833699, 61.197423], [42.279734, 46.910945, 48.148539, 49.971010, 52.219495, 52.282804, 55.812336, 59.653570, 60.363833, 326.308580], [26.839588, 28.621053, 29.361277, 29.905686, 30.422681, 30.774064, 35.276607, 36.080758, 36.302340, 163.356718], [23.150048, 27.170124, 27.301372, 27.445450, 27.474124, 31.840491, 33.633979, 33.829988, 34.233989, 226.260664], [9.919772, 10.713404, 11.761459, 11.852986, 12.087117, 12.709077, 12.966385, 13.171904, 13.984688, 15.614886], [22.861029, 24.933000, 26.511931, 27.033321, 27.552317, 28.954293, 30.752069, 33.196312, 33.938781, 218.056864], [4.173727, 4.340030, 4.514044, 4.730801, 5.065354, 5.217341, 5.353007, 5.514036, 5.754601, 99.640943]]
### 4
fourier: [[4.153017, 4.368154, 4.380476, 4.434101, 4.513076, 4.715343, 4.867384, 5.344213, 6.599832, 71.267598], [5.196212, 5.291858, 5.353833, 5.374259, 5.412319, 5.716174, 5.975928, 6.077551, 6.998271, 26.284846], [21.798545, 24.014315, 24.413535, 25.493716, 26.383663, 27.240763, 28.063078, 30.456968, 30.709155, 145.505180], [16.717405, 17.188315, 17.567642, 18.564365, 18.665874, 19.197527, 20.046363, 21.238546, 21.971368, 71.599507], [30.388510, 32.712428, 33.301617, 34.979457, 35.724024, 35.907772, 38.007769, 40.208175, 40.376681, 221.324347], [2.615289, 2.926066, 2.946447, 3.017443, 3.201502, 3.287244, 3.292801, 3.368377, 3.608377, 57.274847], [35.091249, 37.767558, 38.508246, 40.459669, 41.415463, 41.432343, 44.025558, 46.648691, 46.964792, 184.475492]]
### 6
fourier: [[22.680670, 23.480820, 24.556704, 25.654321, 25.686198, 26.856650, 27.286304, 28.313023, 28.655594, 175.462801], [5.811985, 5.819099, 6.079016, 6.111825, 6.117896, 6.189539, 6.486475, 6.498420, 6.750815, 43.858535], [12.096569, 13.024152, 13.637722, 13.897551, 14.304309, 15.259020, 15.585075, 16.882904, 17.010626, 94.951740], [10.786759, 11.033872, 11.367090, 11.406135, 11.562858, 11.713274, 11.900682, 12.033675, 12.149912, 46.667677], [18.123608, 18.359833, 19.567259, 20.330773, 20.355752, 21.213178, 21.310231, 22.222196, 22.247863, 134.616415], [52.949812, 54.448729, 57.012828, 59.687218, 59.892757, 61.889438, 62.819800, 65.558194, 65.899179, 274.618178], [24.454310, 24.995536, 26.179750, 27.452459, 27.623770, 28.234031, 28.630823, 29.705770, 30.329107, 108.174524]]
### 8
fourier: [[49.620369, 50.095237, 52.399404, 52.666135, 54.909136, 55.451660, 55.487684, 56.876881, 58.062554, 159.127975]]
## 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: 4
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: [[17.783275, 18.276603, 20.770146, 21.272370, 21.302343, 22.429582, 27.046971, 27.084507, 29.497141, 187.921592], [9.532336, 9.944132, 10.244800, 10.522899, 10.544242, 10.745426, 11.111249, 12.717839, 14.316159, 50.450251], [15.271407, 15.640037, 16.213736, 16.609817, 17.276637, 21.586964, 22.661356, 23.671054, 24.801035, 195.539858], [22.444112, 22.692711, 23.869771, 26.002052, 27.729088, 28.306712, 29.513090, 30.405640, 30.827483, 40.863503], [26.783262, 27.429825, 29.740283, 29.799519, 31.020469, 34.790027, 36.378990, 40.534899, 46.762862, 220.249975], [27.370211, 27.778486, 27.813343, 29.470716, 30.510252, 30.973251, 32.031005, 35.962327, 38.638688, 107.813538], [28.690040, 31.782536, 32.296409, 32.311584, 32.648177, 35.107270, 35.748543, 38.447359, 39.318345, 195.342249]]
### 2
fourier: [[5.589295, 5.901759, 7.158260, 7.584054, 7.638729, 8.617713, 9.055842, 9.343715, 9.833699, 61.197423], [42.279734, 46.910945, 48.148539, 49.971010, 52.219495, 52.282804, 55.812336, 59.653570, 60.363833, 326.308580], [26.839588, 28.621053, 29.361277, 29.905686, 30.422681, 30.774064, 35.276607, 36.080758, 36.302340, 163.356718], [23.150048, 27.170124, 27.301372, 27.445450, 27.474124, 31.840491, 33.633979, 33.829988, 34.233989, 226.260664], [9.919772, 10.713404, 11.761459, 11.852986, 12.087117, 12.709077, 12.966385, 13.171904, 13.984688, 15.614886], [22.861029, 24.933000, 26.511931, 27.033321, 27.552317, 28.954293, 30.752069, 33.196312, 33.938781, 218.056864], [4.173727, 4.340030, 4.514044, 4.730801, 5.065354, 5.217341, 5.353007, 5.514036, 5.754601, 99.640943]]
### 4
fourier: [[4.153017, 4.368154, 4.380476, 4.434101, 4.513076, 4.715343, 4.867384, 5.344213, 6.599832, 71.267598], [5.196212, 5.291858, 5.353833, 5.374259, 5.412319, 5.716174, 5.975928, 6.077551, 6.998271, 26.284846], [21.798545, 24.014315, 24.413535, 25.493716, 26.383663, 27.240763, 28.063078, 30.456968, 30.709155, 145.505180], [16.717405, 17.188315, 17.567642, 18.564365, 18.665874, 19.197527, 20.046363, 21.238546, 21.971368, 71.599507], [30.388510, 32.712428, 33.301617, 34.979457, 35.724024, 35.907772, 38.007769, 40.208175, 40.376681, 221.324347], [2.615289, 2.926066, 2.946447, 3.017443, 3.201502, 3.287244, 3.292801, 3.368377, 3.608377, 57.274847], [35.091249, 37.767558, 38.508246, 40.459669, 41.415463, 41.432343, 44.025558, 46.648691, 46.964792, 184.475492]]
### 6
fourier: [[22.680670, 23.480820, 24.556704, 25.654321, 25.686198, 26.856650, 27.286304, 28.313023, 28.655594, 175.462801], [5.811985, 5.819099, 6.079016, 6.111825, 6.117896, 6.189539, 6.486475, 6.498420, 6.750815, 43.858535], [12.096569, 13.024152, 13.637722, 13.897551, 14.304309, 15.259020, 15.585075, 16.882904, 17.010626, 94.951740], [10.786759, 11.033872, 11.367090, 11.406135, 11.562858, 11.713274, 11.900682, 12.033675, 12.149912, 46.667677], [18.123608, 18.359833, 19.567259, 20.330773, 20.355752, 21.213178, 21.310231, 22.222196, 22.247863, 134.616415], [52.949812, 54.448729, 57.012828, 59.687218, 59.892757, 61.889438, 62.819800, 65.558194, 65.899179, 274.618178], [24.454310, 24.995536, 26.179750, 27.452459, 27.623770, 28.234031, 28.630823, 29.705770, 30.329107, 108.174524]]
### 8
fourier: [[49.620369, 50.095237, 52.399404, 52.666135, 54.909136, 55.451660, 55.487684, 56.876881, 58.062554, 159.127975]]
## 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": 0.6801479756832123, "train_acc": 0.585, "val_loss": 0.6828706860542297, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6397960186004639, "train_acc": 0.585, "val_loss": 0.6874668598175049, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5975086688995361, "train_acc": 0.585, "val_loss": 0.700897216796875, "val_acc": 0.4}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5751998126506805, "train_acc": 0.585, "val_loss": 0.664202094078064, "val_acc": 0.4}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.5246771275997162, "train_acc": 0.64, "val_loss": 0.5775300860404968, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5274138748645782, "train_acc": 0.73, "val_loss": 0.5219957828521729, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.4793206602334976, "train_acc": 0.78, "val_loss": 0.46904411911964417, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.45736880600452423, "train_acc": 0.85, "val_loss": 0.4283151924610138, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.425817534327507, "train_acc": 0.82, "val_loss": 0.44548672437667847, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.3895547240972519, "train_acc": 0.8, "val_loss": 0.3462315797805786, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3457779884338379, "train_acc": 0.9, "val_loss": 0.2958342134952545, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.30837538838386536, "train_acc": 0.915, "val_loss": 0.2685217559337616, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.2785230278968811, "train_acc": 0.895, "val_loss": 0.2463301420211792, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.2523804008960724, "train_acc": 0.885, "val_loss": 0.1946418136358261, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.22517766803503036, "train_acc": 0.925, "val_loss": 0.1863664984703064, "val_acc": 0.92}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6828706860542297, "final_val_loss": 0.5775300860404968, "initial_val_acc": 0.4, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5219957828521729, "final_val_loss": 0.1863664984703064, "initial_val_acc": 0.74, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 10}, "improvement": 0.31999999999999995, "first_improvement_epoch": 4}}
|
172
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.58, "improved_accuracy": 0.9, "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": 6311, "learning_rate": 0.034346534628574066, "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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.weight": [
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"network.12.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
fourier: [[24.017898, 24.042442, 25.496918, 25.564231, 28.824948, 31.934080, 32.116751, 35.844495, 37.074191, 220.148635], [14.684635, 14.776588, 15.498805, 16.101391, 17.563904, 18.283791, 18.652729, 18.953131, 19.084814, 19.175747], [12.948817, 13.735826, 14.461237, 14.805865, 15.835587, 18.045865, 18.445556, 18.558173, 22.592703, 35.003002], [14.705007, 14.864622, 16.494727, 16.733302, 17.240030, 17.402608, 17.564777, 17.844407, 18.685442, 23.541365], [13.655831, 15.725933, 15.792661, 16.559992, 16.999960, 17.274221, 18.145007, 21.458040, 22.693071, 118.291250], [31.853771, 31.877093, 32.260841, 32.618041, 35.216482, 35.783445, 37.332063, 41.505616, 46.411024, 186.949749], [26.352671, 28.122640, 30.035636, 30.602947, 31.688668, 32.342533, 33.156838, 35.011668, 35.883070, 132.803371], [19.470737, 20.854954, 21.659135, 22.114388, 22.607509, 23.762996, 26.458065, 29.491706, 34.242932, 58.623813]]
### 2
fourier: [[23.920160, 27.138999, 28.276985, 29.488671, 30.258479, 32.206496, 33.437417, 35.710261, 36.242215, 128.727060], [17.276234, 17.553380, 18.409194, 19.234308, 20.730000, 21.366307, 23.307258, 23.447313, 23.813279, 73.559156], [12.389113, 13.320525, 13.549666, 15.547011, 15.724993, 16.309859, 16.341982, 19.917650, 22.839199, 89.001677], [38.232271, 40.637508, 42.942456, 43.183718, 48.206144, 52.352699, 52.436860, 55.173021, 58.111039, 304.767808], [20.217082, 21.504374, 21.721928, 22.103625, 23.900026, 25.956106, 26.752474, 28.380307, 29.674653, 176.981905], [37.865107, 41.513114, 44.095418, 44.624267, 45.538541, 47.095650, 47.836095, 51.804524, 52.346556, 237.600701], [7.457186, 7.754071, 8.440133, 9.158872, 9.281001, 9.689602, 9.920037, 10.502571, 10.825050, 39.405307], [24.842628, 24.924641, 28.106046, 29.088449, 30.767680, 32.300422, 33.935882, 36.218870, 37.879848, 176.068435]]
### 4
fourier: [[2.762969, 3.101360, 3.496550, 3.903289, 4.050293, 4.065767, 4.091422, 4.118499, 4.314236, 5.232171], [2.071229, 2.240768, 2.247913, 2.248645, 2.361263, 2.873568, 3.190187, 3.525076, 3.779091, 47.394743], [7.722804, 7.912452, 8.613103, 8.878186, 9.073859, 9.945203, 10.435917, 11.832741, 11.909502, 62.296593], [27.095106, 28.906484, 29.997922, 31.411347, 34.117621, 36.731317, 37.347687, 38.166138, 40.400187, 196.402945], [1.599258, 1.651637, 1.744607, 1.747527, 1.892869, 1.942145, 2.096945, 2.509530, 2.932356, 42.002070], [21.913627, 24.105007, 26.081983, 26.254901, 27.188378, 28.956438, 29.275036, 29.930914, 31.377894, 159.967113], [53.469160, 54.020807, 60.499574, 62.311384, 64.074685, 66.561533, 67.242250, 71.962819, 72.980891, 302.131716], [33.202796, 36.329302, 40.149733, 40.428494, 40.849759, 41.388564, 41.705526, 44.182050, 45.771325, 191.407451]]
### 6
fourier: [[18.944640, 19.135728, 21.905961, 22.345213, 22.450313, 22.770219, 22.964235, 24.160407, 25.295432, 74.835617], [4.185157, 4.502540, 5.080666, 5.090180, 5.404707, 5.585208, 5.818322, 5.913913, 6.294442, 31.353901], [35.706693, 36.745757, 42.468753, 42.725854, 43.214095, 44.956740, 45.087290, 48.032412, 48.963617, 175.487355], [49.581366, 51.917145, 58.863957, 59.315764, 60.434552, 62.648478, 63.587029, 66.745360, 68.266321, 278.259106], [32.833346, 33.065786, 38.881301, 39.445894, 39.931651, 41.427689, 41.551616, 44.543384, 45.487961, 193.537501], [25.341943, 25.676133, 30.017326, 30.495025, 30.907935, 32.356191, 32.493257, 34.270793, 35.607921, 150.251583], [0.668666, 0.671413, 0.678830, 0.694831, 0.804259, 0.890480, 0.928601, 0.996630, 1.479728, 33.032680], [1.641171, 1.649312, 1.654079, 1.656931, 1.724065, 1.829869, 2.001372, 2.041512, 2.051784, 31.380339]]
### 8
fourier: [[23.037515, 23.686209, 27.625607, 27.854474, 28.735687, 29.335769, 29.644588, 31.100558, 32.629151, 118.070270], [57.861505, 59.438328, 68.087398, 69.962006, 71.454588, 71.908685, 73.192983, 76.421770, 79.910976, 303.402484], [51.700226, 53.878748, 62.008926, 63.021097, 64.824329, 65.757199, 66.569124, 69.716354, 73.293827, 257.945535], [59.116072, 60.972478, 69.761759, 71.697380, 73.302629, 73.855352, 75.057812, 78.365106, 82.216145, 298.955497], [0.683013, 0.691263, 0.758128, 0.804920, 0.807146, 0.843815, 0.907715, 0.919642, 1.108661, 36.146605], [44.112112, 46.449101, 52.718415, 54.164014, 55.260801, 55.714718, 56.294215, 59.282766, 61.967920, 232.061899], [10.926805, 11.097360, 12.418459, 13.412944, 13.424191, 13.834612, 14.447950, 14.511970, 14.980768, 15.831614], [6.896937, 8.043618, 8.356189, 8.419040, 8.517158, 9.360182, 9.369566, 9.644417, 9.989217, 11.944602]]
### 10
fourier: [[10.408367, 10.413636, 12.159972, 12.963028, 13.569190, 13.680338, 13.724496, 13.871923, 14.203731, 15.155007], [4.411388, 4.495385, 4.865925, 5.251618, 5.636140, 5.662409, 5.716397, 6.351648, 6.359686, 57.840883], [71.960308, 78.310195, 87.441221, 90.627695, 92.465671, 92.516907, 94.202512, 97.350499, 103.333870, 379.061428], [100.512872, 109.103402, 121.691283, 126.255815, 128.395238, 128.408800, 131.160840, 135.125743, 143.132565, 492.422760], [71.592046, 77.884804, 87.122613, 90.093961, 92.167169, 92.253544, 93.817240, 97.378434, 102.993733, 339.841379], [10.881068, 11.414195, 12.823817, 13.387190, 13.598942, 13.742271, 13.815043, 14.438961, 15.257640, 72.608458], [25.619085, 28.435921, 30.931002, 32.588601, 32.801425, 32.899557, 33.155335, 34.222176, 36.429909, 129.778307], [108.068200, 116.338838, 130.956352, 134.855520, 138.585461, 138.704346, 141.306140, 146.377529, 154.881657, 543.693952]]
### 12
fourier: [[103.005563, 114.840978, 127.005230, 131.495754, 134.734471, 134.968415, 137.120651, 140.748146, 150.240272, 508.719972]]
## 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[24.017898, 24.042442, 25.496918, 25.564231, 28.824948, 31.934080, 32.116751, 35.844495, 37.074191, 220.148635], [14.684635, 14.776588, 15.498805, 16.101391, 17.563904, 18.283791, 18.652729, 18.953131, 19.084814, 19.175747], [12.948817, 13.735826, 14.461237, 14.805865, 15.835587, 18.045865, 18.445556, 18.558173, 22.592703, 35.003002], [14.705007, 14.864622, 16.494727, 16.733302, 17.240030, 17.402608, 17.564777, 17.844407, 18.685442, 23.541365], [13.655831, 15.725933, 15.792661, 16.559992, 16.999960, 17.274221, 18.145007, 21.458040, 22.693071, 118.291250], [31.853771, 31.877093, 32.260841, 32.618041, 35.216482, 35.783445, 37.332063, 41.505616, 46.411024, 186.949749], [26.352671, 28.122640, 30.035636, 30.602947, 31.688668, 32.342533, 33.156838, 35.011668, 35.883070, 132.803371], [19.470737, 20.854954, 21.659135, 22.114388, 22.607509, 23.762996, 26.458065, 29.491706, 34.242932, 58.623813]]
### 2
fourier: [[23.920160, 27.138999, 28.276985, 29.488671, 30.258479, 32.206496, 33.437417, 35.710261, 36.242215, 128.727060], [17.276234, 17.553380, 18.409194, 19.234308, 20.730000, 21.366307, 23.307258, 23.447313, 23.813279, 73.559156], [12.389113, 13.320525, 13.549666, 15.547011, 15.724993, 16.309859, 16.341982, 19.917650, 22.839199, 89.001677], [38.232271, 40.637508, 42.942456, 43.183718, 48.206144, 52.352699, 52.436860, 55.173021, 58.111039, 304.767808], [20.217082, 21.504374, 21.721928, 22.103625, 23.900026, 25.956106, 26.752474, 28.380307, 29.674653, 176.981905], [37.865107, 41.513114, 44.095418, 44.624267, 45.538541, 47.095650, 47.836095, 51.804524, 52.346556, 237.600701], [7.457186, 7.754071, 8.440133, 9.158872, 9.281001, 9.689602, 9.920037, 10.502571, 10.825050, 39.405307], [24.842628, 24.924641, 28.106046, 29.088449, 30.767680, 32.300422, 33.935882, 36.218870, 37.879848, 176.068435]]
### 4
fourier: [[2.762969, 3.101360, 3.496550, 3.903289, 4.050293, 4.065767, 4.091422, 4.118499, 4.314236, 5.232171], [2.071229, 2.240768, 2.247913, 2.248645, 2.361263, 2.873568, 3.190187, 3.525076, 3.779091, 47.394743], [7.722804, 7.912452, 8.613103, 8.878186, 9.073859, 9.945203, 10.435917, 11.832741, 11.909502, 62.296593], [27.095106, 28.906484, 29.997922, 31.411347, 34.117621, 36.731317, 37.347687, 38.166138, 40.400187, 196.402945], [1.599258, 1.651637, 1.744607, 1.747527, 1.892869, 1.942145, 2.096945, 2.509530, 2.932356, 42.002070], [21.913627, 24.105007, 26.081983, 26.254901, 27.188378, 28.956438, 29.275036, 29.930914, 31.377894, 159.967113], [53.469160, 54.020807, 60.499574, 62.311384, 64.074685, 66.561533, 67.242250, 71.962819, 72.980891, 302.131716], [33.202796, 36.329302, 40.149733, 40.428494, 40.849759, 41.388564, 41.705526, 44.182050, 45.771325, 191.407451]]
### 6
fourier: [[18.944640, 19.135728, 21.905961, 22.345213, 22.450313, 22.770219, 22.964235, 24.160407, 25.295432, 74.835617], [4.185157, 4.502540, 5.080666, 5.090180, 5.404707, 5.585208, 5.818322, 5.913913, 6.294442, 31.353901], [35.706693, 36.745757, 42.468753, 42.725854, 43.214095, 44.956740, 45.087290, 48.032412, 48.963617, 175.487355], [49.581366, 51.917145, 58.863957, 59.315764, 60.434552, 62.648478, 63.587029, 66.745360, 68.266321, 278.259106], [32.833346, 33.065786, 38.881301, 39.445894, 39.931651, 41.427689, 41.551616, 44.543384, 45.487961, 193.537501], [25.341943, 25.676133, 30.017326, 30.495025, 30.907935, 32.356191, 32.493257, 34.270793, 35.607921, 150.251583], [0.668666, 0.671413, 0.678830, 0.694831, 0.804259, 0.890480, 0.928601, 0.996630, 1.479728, 33.032680], [1.641171, 1.649312, 1.654079, 1.656931, 1.724065, 1.829869, 2.001372, 2.041512, 2.051784, 31.380339]]
### 8
fourier: [[23.037515, 23.686209, 27.625607, 27.854474, 28.735687, 29.335769, 29.644588, 31.100558, 32.629151, 118.070270], [57.861505, 59.438328, 68.087398, 69.962006, 71.454588, 71.908685, 73.192983, 76.421770, 79.910976, 303.402484], [51.700226, 53.878748, 62.008926, 63.021097, 64.824329, 65.757199, 66.569124, 69.716354, 73.293827, 257.945535], [59.116072, 60.972478, 69.761759, 71.697380, 73.302629, 73.855352, 75.057812, 78.365106, 82.216145, 298.955497], [0.683013, 0.691263, 0.758128, 0.804920, 0.807146, 0.843815, 0.907715, 0.919642, 1.108661, 36.146605], [44.112112, 46.449101, 52.718415, 54.164014, 55.260801, 55.714718, 56.294215, 59.282766, 61.967920, 232.061899], [10.926805, 11.097360, 12.418459, 13.412944, 13.424191, 13.834612, 14.447950, 14.511970, 14.980768, 15.831614], [6.896937, 8.043618, 8.356189, 8.419040, 8.517158, 9.360182, 9.369566, 9.644417, 9.989217, 11.944602]]
### 10
fourier: [[10.408367, 10.413636, 12.159972, 12.963028, 13.569190, 13.680338, 13.724496, 13.871923, 14.203731, 15.155007], [4.411388, 4.495385, 4.865925, 5.251618, 5.636140, 5.662409, 5.716397, 6.351648, 6.359686, 57.840883], [71.960308, 78.310195, 87.441221, 90.627695, 92.465671, 92.516907, 94.202512, 97.350499, 103.333870, 379.061428], [100.512872, 109.103402, 121.691283, 126.255815, 128.395238, 128.408800, 131.160840, 135.125743, 143.132565, 492.422760], [71.592046, 77.884804, 87.122613, 90.093961, 92.167169, 92.253544, 93.817240, 97.378434, 102.993733, 339.841379], [10.881068, 11.414195, 12.823817, 13.387190, 13.598942, 13.742271, 13.815043, 14.438961, 15.257640, 72.608458], [25.619085, 28.435921, 30.931002, 32.588601, 32.801425, 32.899557, 33.155335, 34.222176, 36.429909, 129.778307], [108.068200, 116.338838, 130.956352, 134.855520, 138.585461, 138.704346, 141.306140, 146.377529, 154.881657, 543.693952]]
### 12
fourier: [[103.005563, 114.840978, 127.005230, 131.495754, 134.734471, 134.968415, 137.120651, 140.748146, 150.240272, 508.719972]]
## 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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"layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [103.00556333828807, 114.84097831142866, 127.0052299582065, 131.4957539313979, 134.7344711620799, 134.9684153856023, 137.1206512777833, 140.74814576331815, 150.2402717247772, 508.719972204417]}}, "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": 8, "activation_type": "gelu", "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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.720381, 0.004366, 0.213023, 0.486258, -0.014384], [0.299405, 0.388476, 0.003861, -0.107672, -0.25193], [-0.07124, 0.023629, -0.282821, -0.155567, 0.600935], [0.285722, 0.067657, 0.237786, -0.322509, -0.227861], [0.345932, -0.261862, 0.310519, 0.374966, -0.076312], [0.517668, 0.502514, 0.590671, -0.255875, 0.026824], [0.732926, 0.238044, 0.226983, -0.08903, 0.084634], [0.357107, -0.088133, 0.592061, -0.255441, -0.230762]], "network.0.bias": [0.071671, -0.334882, -0.160092, -0.198094, 0.00241, -0.200899, -0.257868, -0.036791], "network.2.weight": [[-0.023007, 0.044398, -0.183804, 0.565037, 0.374753, 0.204195, 0.221785, 0.384376], [0.112901, 0.483662, -0.454133, 0.23598, -0.252558, 0.195071, 0.280957, -0.178037], [0.042936, 0.357709, 0.129245, 0.098433, 0.245807, -0.178575, -0.280571, -0.500868], [0.558342, 0.03774, -0.276504, 0.052358, 0.528528, 0.266951, 0.310383, 0.314054], [-0.319358, 0.109446, 0.043774, 0.111041, -0.17773, -0.291382, -0.112777, -0.102268], [-0.05898, 0.528353, -0.213223, 0.373866, 0.491058, 0.242023, 0.530939, 0.405436], [0.007724, -0.03705, -0.0887, -0.48548, -0.162402, -0.083981, -0.101168, 0.185153], [-0.255794, -0.092875, -0.082387, 0.292848, -0.384894, -0.336117, -0.028258, -0.432493]], "network.2.bias": [-0.216587, 0.029402, -0.369316, 0.111017, -0.194593, 0.23958, 0.061105, 0.255796], "network.4.weight": [[-0.118552, -0.13584, -0.590889, 0.067503, -0.434947, -0.012408, -0.27343, -0.025925], [0.067689, -0.030055, -0.045344, -0.12695, -0.415937, 0.146739, -0.487758, -0.445146], [-0.051059, -0.149153, 0.086979, 0.392481, 0.223275, -0.133999, 0.095034, 0.409186], [-0.432265, 0.015319, 0.430814, -0.420044, 0.336829, -0.024005, 0.414048, 0.375921], [-0.121183, -0.134242, -0.463361, 0.010808, -0.29607, 0.156688, -0.356894, -0.555405], [0.085315, 0.180831, 0.452314, 0.312044, -0.135277, 0.13555, 0.154345, 0.120372], [0.489268, 0.337296, 0.154142, 0.469864, 0.453936, 0.422992, -0.256193, 0.207036], [-0.16299, 0.409841, 0.248173, 0.254518, 0.510758, 0.533224, -0.336582, -0.028948]], "network.4.bias": [0.006494, 0.416198, -0.035474, -0.01335, 0.217026, 0.139137, -0.261507, -0.185979], "network.6.weight": [[-0.102446, -0.052406, -0.069797, 0.353036, -0.285911, -0.117008, 0.150451, 0.409056], [-0.052225, -0.235293, 0.131904, -0.490077, 0.331986, 0.171438, -0.120731, -0.077599], [-0.456152, -0.205631, 0.114869, -0.230489, -0.523775, 0.196781, 0.435514, 0.234825], [-0.342841, -0.521768, 0.31964, 0.273462, -0.506023, 0.551368, 0.342223, 0.527197], [-0.58108, 0.012973, 0.029653, 0.175423, 0.014879, 0.042994, 0.510692, 0.12339], [0.139744, 0.004498, 0.183407, -0.114994, -0.591385, -0.254581, 0.589612, -0.001233], [0.308183, 0.439675, 0.020824, -0.412069, 0.121845, -0.00045, -0.021858, 0.030692], [-0.071382, 0.071482, 0.165416, -0.048854, -0.147064, 0.145904, -0.135813, 0.118338]], "network.6.bias": [-0.160175, 0.502921, -0.166438, 0.087148, 0.098545, 0.193003, 0.127502, 0.22879], "network.8.weight": [[-0.107677, -0.006616, 0.253208, -0.011319, 0.449415, 0.073892, -0.313342, 0.131576], [0.284161, -0.327336, 0.414879, 0.627178, 0.25554, -0.078098, -0.177037, -0.175805], [0.003605, -0.187928, 0.508488, 0.229165, 0.273232, 0.550655, -0.453254, -0.397176], [0.22304, -0.351219, 0.490884, 0.506499, 0.261697, 0.135597, -0.431803, -0.04683], [0.050097, 0.554828, -0.378894, 0.05471, 0.152143, 0.218272, 0.034724, 0.219464], [0.568571, 0.020883, -0.027439, 0.252272, 0.245108, 0.591628, -0.426319, -0.153035], [0.31939, -0.671214, 0.341933, -0.140909, 0.068367, -0.126353, 0.151294, -0.068919], [-0.58755, 0.624506, 0.086645, 0.028392, 0.108583, -0.127893, -0.00075, 0.084602]], "network.8.bias": [-0.082938, 0.124089, -0.071533, 0.028355, 0.064478, 0.027686, -0.265037, -0.097033], "network.10.weight": [[0.143769, 0.187648, -0.127304, -0.116288, -0.04188, -0.186691, -0.35331, 0.212994], [0.084872, 0.016618, -0.241119, -0.039318, 0.330943, 0.413219, -0.263893, -0.193367], [0.228772, 0.378219, 0.579827, 0.187822, -0.45666, 0.084515, 0.268041, -0.008701], [0.278936, 0.574047, 0.416436, 0.52736, -0.2903, 0.174239, 0.460049, 0.370736], [0.449416, 0.314139, 0.408411, 0.0804, -0.208549, 0.402598, 0.186305, -0.056289], [0.185176, 0.069391, -0.276788, 0.250289, -0.223725, 0.064376, -0.065298, -0.000599], [0.202469, 0.041032, -0.003676, 0.381331, -0.258044, -0.161446, 0.46791, -0.137276], [0.471478, 0.530849, 0.459337, 0.498544, -0.107428, 0.380325, -0.039962, -0.113438]], "network.10.bias": [0.50005, 0.228325, 0.159678, -0.302848, -0.346958, 0.207252, 0.1532, -0.313384], "network.12.weight": [[0.445925, 0.413177, -0.091976, -0.300199, -0.45325, 0.296357, 0.042252, -0.390028]], "network.12.bias": [0.027832]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6886162161827087, "train_acc": 0.555, "val_loss": 0.6754939556121826, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6831688582897186, "train_acc": 0.555, "val_loss": 0.6377788782119751, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.635642945766449, "train_acc": 0.48, "val_loss": 0.5003452301025391, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4842875897884369, "train_acc": 0.56, "val_loss": 0.4545808434486389, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.40908291935920715, "train_acc": 0.88, "val_loss": 0.3516940176486969, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.33469586074352264, "train_acc": 0.91, "val_loss": 0.3756166398525238, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4465966522693634, "train_acc": 0.855, "val_loss": 0.471240758895874, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.37310048937797546, "train_acc": 0.85, "val_loss": 0.6817338466644287, "val_acc": 0.68}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6754939556121826, "final_val_loss": 0.6377788782119751, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5003452301025391, "final_val_loss": 0.6817338466644287, "initial_val_acc": 0.58, "final_val_acc": 0.68, "best_val_acc": 0.9, "best_epoch": 4}, "improvement": 0.32000000000000006, "first_improvement_epoch": 1}}
|
173
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.44, "improved_accuracy": 0.8, "improvement": 0.36000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8444, "learning_rate": 0.07396092410442093, "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: 4
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: [[23.816256, 25.624751, 26.503452, 27.309716, 29.724535, 31.743039, 33.305579, 34.438914, 37.654043, 215.745091], [21.677191, 21.888651, 22.520927, 24.983419, 25.033371, 25.246808, 26.447562, 28.179402, 31.645655, 137.310921], [18.720208, 20.394346, 23.301548, 23.374069, 23.872477, 24.249916, 25.872186, 26.782067, 27.967456, 105.760366], [14.021642, 14.911403, 15.159047, 15.375815, 17.328347, 18.318493, 19.248939, 20.493491, 21.661176, 125.642878], [13.929570, 14.342079, 14.572927, 14.876620, 14.944711, 18.644471, 19.117248, 20.393058, 21.463227, 69.393051], [19.375142, 19.512997, 20.044240, 20.681584, 20.983168, 24.553725, 24.585183, 26.282979, 27.703412, 185.702945], [18.316547, 18.573662, 19.965280, 20.206359, 21.499200, 23.091082, 23.855067, 24.707932, 25.791022, 112.031128]]
### 2
fourier: [[17.783501, 18.110654, 19.475966, 20.622818, 21.204687, 23.344880, 24.086509, 24.296421, 25.784548, 101.767730], [12.055557, 13.074572, 13.288411, 14.340715, 14.787276, 14.922603, 15.878893, 17.353654, 17.582517, 66.848787], [25.478019, 25.868034, 26.528607, 28.452562, 29.645552, 29.685449, 31.407213, 31.488130, 32.451391, 99.132200], [6.658507, 6.667627, 6.773001, 6.806214, 6.873641, 7.667807, 8.576573, 8.956840, 9.644539, 26.046010], [11.294684, 11.381606, 11.499709, 12.046555, 12.311458, 12.650256, 12.898983, 13.878629, 14.114488, 14.236707], [12.391608, 12.473352, 12.768767, 12.831241, 12.863690, 13.016827, 13.200080, 13.681548, 15.468604, 51.602984], [21.140037, 21.965882, 22.830284, 23.388655, 23.453568, 23.521707, 24.221476, 25.362758, 25.614572, 101.172637]]
### 4
fourier: [[2.411886, 2.474544, 2.502036, 2.570309, 2.895915, 3.202725, 3.291385, 3.692603, 4.860148, 33.404609], [16.154093, 16.390422, 16.464954, 17.845669, 19.211204, 20.958371, 21.813091, 24.451222, 24.498396, 182.368127], [13.503358, 14.158937, 14.332766, 14.608855, 15.611229, 15.656265, 16.053654, 16.335210, 16.367393, 44.276892], [21.141754, 22.830427, 23.350931, 23.528352, 24.096455, 24.404856, 25.890776, 27.309786, 28.296125, 28.499412], [28.636508, 30.466641, 31.340715, 31.356697, 32.438496, 33.483638, 35.395670, 36.124694, 38.081209, 62.188471], [6.309538, 6.649190, 6.886169, 7.121795, 7.263545, 7.816415, 7.860429, 7.915456, 8.373829, 37.196960], [14.158355, 14.611677, 15.937340, 17.283790, 17.376776, 17.548438, 17.979340, 18.838901, 19.240035, 37.877894]]
### 6
fourier: [[27.041765, 28.195831, 29.201817, 32.399569, 32.855465, 36.013054, 38.059600, 41.199395, 41.835664, 128.689960], [27.336350, 28.663327, 29.912110, 32.864078, 33.104828, 37.018143, 39.037909, 42.371772, 43.316744, 128.161356], [3.157878, 3.295344, 3.345336, 3.358826, 3.503089, 3.547149, 3.621859, 3.649368, 4.160951, 77.788696], [22.559778, 24.149299, 24.289673, 27.263366, 27.768213, 30.106807, 31.876790, 34.378416, 35.362531, 95.074640], [11.648017, 11.673835, 11.806174, 13.056171, 14.268034, 14.561698, 15.413623, 16.643321, 17.710085, 18.412974], [10.992849, 11.372708, 12.135785, 13.297396, 13.412136, 14.623526, 15.770914, 17.188874, 17.318188, 44.079359], [4.789956, 4.961827, 5.151511, 5.240329, 5.277212, 6.353558, 6.412576, 7.765217, 8.556015, 9.349991]]
### 8
fourier: [[20.374227, 20.832227, 21.920412, 24.167009, 24.249431, 26.924357, 29.138766, 31.253179, 31.612427, 86.640162]]
## 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: 4
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: [[23.816256, 25.624751, 26.503452, 27.309716, 29.724535, 31.743039, 33.305579, 34.438914, 37.654043, 215.745091], [21.677191, 21.888651, 22.520927, 24.983419, 25.033371, 25.246808, 26.447562, 28.179402, 31.645655, 137.310921], [18.720208, 20.394346, 23.301548, 23.374069, 23.872477, 24.249916, 25.872186, 26.782067, 27.967456, 105.760366], [14.021642, 14.911403, 15.159047, 15.375815, 17.328347, 18.318493, 19.248939, 20.493491, 21.661176, 125.642878], [13.929570, 14.342079, 14.572927, 14.876620, 14.944711, 18.644471, 19.117248, 20.393058, 21.463227, 69.393051], [19.375142, 19.512997, 20.044240, 20.681584, 20.983168, 24.553725, 24.585183, 26.282979, 27.703412, 185.702945], [18.316547, 18.573662, 19.965280, 20.206359, 21.499200, 23.091082, 23.855067, 24.707932, 25.791022, 112.031128]]
### 2
fourier: [[17.783501, 18.110654, 19.475966, 20.622818, 21.204687, 23.344880, 24.086509, 24.296421, 25.784548, 101.767730], [12.055557, 13.074572, 13.288411, 14.340715, 14.787276, 14.922603, 15.878893, 17.353654, 17.582517, 66.848787], [25.478019, 25.868034, 26.528607, 28.452562, 29.645552, 29.685449, 31.407213, 31.488130, 32.451391, 99.132200], [6.658507, 6.667627, 6.773001, 6.806214, 6.873641, 7.667807, 8.576573, 8.956840, 9.644539, 26.046010], [11.294684, 11.381606, 11.499709, 12.046555, 12.311458, 12.650256, 12.898983, 13.878629, 14.114488, 14.236707], [12.391608, 12.473352, 12.768767, 12.831241, 12.863690, 13.016827, 13.200080, 13.681548, 15.468604, 51.602984], [21.140037, 21.965882, 22.830284, 23.388655, 23.453568, 23.521707, 24.221476, 25.362758, 25.614572, 101.172637]]
### 4
fourier: [[2.411886, 2.474544, 2.502036, 2.570309, 2.895915, 3.202725, 3.291385, 3.692603, 4.860148, 33.404609], [16.154093, 16.390422, 16.464954, 17.845669, 19.211204, 20.958371, 21.813091, 24.451222, 24.498396, 182.368127], [13.503358, 14.158937, 14.332766, 14.608855, 15.611229, 15.656265, 16.053654, 16.335210, 16.367393, 44.276892], [21.141754, 22.830427, 23.350931, 23.528352, 24.096455, 24.404856, 25.890776, 27.309786, 28.296125, 28.499412], [28.636508, 30.466641, 31.340715, 31.356697, 32.438496, 33.483638, 35.395670, 36.124694, 38.081209, 62.188471], [6.309538, 6.649190, 6.886169, 7.121795, 7.263545, 7.816415, 7.860429, 7.915456, 8.373829, 37.196960], [14.158355, 14.611677, 15.937340, 17.283790, 17.376776, 17.548438, 17.979340, 18.838901, 19.240035, 37.877894]]
### 6
fourier: [[27.041765, 28.195831, 29.201817, 32.399569, 32.855465, 36.013054, 38.059600, 41.199395, 41.835664, 128.689960], [27.336350, 28.663327, 29.912110, 32.864078, 33.104828, 37.018143, 39.037909, 42.371772, 43.316744, 128.161356], [3.157878, 3.295344, 3.345336, 3.358826, 3.503089, 3.547149, 3.621859, 3.649368, 4.160951, 77.788696], [22.559778, 24.149299, 24.289673, 27.263366, 27.768213, 30.106807, 31.876790, 34.378416, 35.362531, 95.074640], [11.648017, 11.673835, 11.806174, 13.056171, 14.268034, 14.561698, 15.413623, 16.643321, 17.710085, 18.412974], [10.992849, 11.372708, 12.135785, 13.297396, 13.412136, 14.623526, 15.770914, 17.188874, 17.318188, 44.079359], [4.789956, 4.961827, 5.151511, 5.240329, 5.277212, 6.353558, 6.412576, 7.765217, 8.556015, 9.349991]]
### 8
fourier: [[20.374227, 20.832227, 21.920412, 24.167009, 24.249431, 26.924357, 29.138766, 31.253179, 31.612427, 86.640162]]
## 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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0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.488027, -0.326751, -0.370066, 0.154113, -0.305586], [0.628892, 0.401985, 0.006362, -0.226327, -0.092683], [0.65266, 0.252565, -0.064208, 0.019929, -0.378515], [0.308979, -0.376807, -0.217453, -0.064448, -0.381011], [-0.375799, 0.32564, 0.032368, 0.052258, 0.460423], [0.138011, -0.417699, -0.596159, -0.157357, 0.12809], [-0.332761, -0.186242, 0.473923, 0.227596, 0.396868]], "network.0.bias": [-0.375003, 0.596915, 0.460908, -0.031559, -0.102226, -0.049198, 0.030756], "network.2.weight": [[0.125853, 0.488385, 0.35795, -0.272715, -0.220381, -0.215171, -0.059253], [-0.21833, -0.019332, -0.016555, 0.554578, 0.171937, 0.054721, 0.644203], [-0.051701, 0.5192, 0.557018, -0.084637, -0.057455, -0.659963, -0.391269], [-0.03036, -0.275362, 0.271618, 0.076837, 0.342978, 0.021313, 0.185929], [-0.157815, 0.01013, 0.353039, -0.486962, -0.309212, 0.239908, -0.218219], [0.058898, -0.03153, -0.162923, 0.498084, 0.221111, -0.395137, 0.447099], [-0.310525, -0.360977, -0.622531, 0.039121, -0.1376, -0.175896, 0.093231]], "network.2.bias": [0.217622, -0.149551, 0.17961, -0.130905, -0.027394, 0.079112, 0.111274], "network.4.weight": [[-0.002141, -0.217274, 0.076318, 0.284732, 0.140494, 0.323407, 0.396801], [-0.505648, -0.762238, 0.164998, -0.621619, 0.36528, -0.60425, 0.594217], [-0.057621, -0.054461, -0.448008, -0.114439, -0.157504, 0.228008, 0.598687], [0.276834, -0.490252, 0.494981, -0.672628, 0.077645, 0.173782, 0.189032], [0.527276, -0.088981, 0.456685, -0.381713, 0.470747, -0.611942, 0.048431], [0.112196, -0.075628, 0.186519, 0.067336, 0.021787, 0.095978, -0.220827], [-0.090578, -0.433644, 0.577397, -0.297158, -0.328267, -0.097069, 0.306652]], "network.4.bias": [0.17297, -0.646636, 0.099884, -0.155114, 0.015318, 0.034987, 0.34765], "network.6.weight": [[-0.050584, -0.146811, -0.089619, 0.510935, 0.551241, 0.164477, 0.527121], [0.10872, -0.446055, 0.167753, 0.632637, 0.495837, -0.12987, 0.648806], [0.175257, 0.173615, -0.352351, 0.525207, -0.173596, -0.674052, -0.361963], [0.185598, -0.178642, -0.188731, 0.354689, 0.506992, 0.313846, 0.332333], [0.43649, 0.2068, 0.109996, -0.26393, -0.349045, 0.07573, -0.063326], [0.234415, 0.24257, -0.28954, -0.059342, -0.348967, 0.064437, -0.290053], [0.192797, -0.138123, -0.024397, 0.313925, 0.279703, -0.696282, -0.25637]], "network.6.bias": [0.183164, 0.116455, -0.62417, -0.046265, 0.436216, 0.016543, -0.1339], "network.8.weight": [[-0.290266, -0.355643, 0.328881, -0.04294, 0.42463, 0.054971, -0.218809]], "network.8.bias": [-0.054569]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6794262230396271, "train_acc": 0.585, "val_loss": 0.7209688425064087, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6505645513534546, "train_acc": 0.585, "val_loss": 0.636088490486145, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6636260151863098, "train_acc": 0.515, "val_loss": 0.5533014535903931, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6460597217082977, "train_acc": 0.65, "val_loss": 0.5751832723617554, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6260556578636169, "train_acc": 0.585, "val_loss": 0.6035852432250977, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6193930506706238, "train_acc": 0.6, "val_loss": 0.5675623416900635, "val_acc": 0.72}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7209688425064087, "final_val_loss": 0.636088490486145, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5533014535903931, "final_val_loss": 0.5675623416900635, "initial_val_acc": 0.8, "final_val_acc": 0.72, "best_val_acc": 0.8, "best_epoch": 2}, "improvement": 0.36000000000000004, "first_improvement_epoch": 1}}
|
174
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9163, "learning_rate": 0.06158276720100483, "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: 5
Neurons per Layer: 5
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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"network.0.bias": [
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[
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[
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[
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"network.2.bias": [
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"network.4.weight": [
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[
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],
[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
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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.8.weight": [
[
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[
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],
[
1.051898,
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[
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[
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"network.8.bias": [
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"network.10.weight": [
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],
"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[20.724680, 22.369649, 24.409978, 24.666764, 25.722335, 26.193514, 31.182355, 32.002567, 34.613164, 120.691212], [12.745455, 12.858940, 13.307955, 14.554561, 14.673863, 16.074562, 17.318974, 17.543875, 19.835952, 158.030907], [14.356058, 14.791863, 14.890569, 15.464577, 15.551960, 15.815048, 16.116332, 16.599617, 17.147766, 120.705654], [22.569757, 23.971225, 25.646700, 25.678404, 26.459620, 29.099781, 30.351743, 33.716073, 34.626460, 99.702253], [25.129121, 28.350708, 29.487076, 29.631257, 29.871121, 32.257839, 32.946829, 33.643043, 42.872636, 147.279194]]
### 2
fourier: [[20.524162, 23.213350, 24.401666, 25.052617, 28.457565, 29.238897, 32.796786, 34.439921, 37.663976, 83.652432], [30.613005, 32.803088, 36.421292, 36.473414, 43.472915, 43.490831, 48.906420, 52.903273, 55.219124, 129.732023], [7.725168, 7.919137, 8.279479, 8.952712, 9.062098, 9.799126, 11.052392, 11.210301, 13.122852, 96.045433], [26.237737, 30.090151, 32.083886, 34.996749, 37.308291, 39.190437, 42.248100, 47.040056, 48.235356, 179.208460], [6.661205, 6.756758, 6.765343, 7.064475, 7.132381, 7.570745, 7.988333, 8.176873, 8.349513, 115.409777]]
### 4
fourier: [[4.061539, 4.514532, 4.695960, 5.202732, 5.932055, 5.987015, 6.175791, 6.388803, 6.899544, 71.584236], [41.462439, 44.663329, 48.586898, 52.240299, 59.477804, 59.737498, 61.596671, 66.376866, 69.525237, 431.279457], [11.227478, 12.413968, 14.003762, 14.351327, 15.825436, 16.419971, 16.627502, 18.503211, 18.774490, 153.759401], [4.957519, 5.377991, 5.827665, 5.934373, 6.207449, 7.145590, 7.629447, 7.691837, 9.398964, 19.881738], [11.730110, 12.791989, 14.562661, 14.887088, 16.481358, 17.006104, 17.248051, 19.300585, 19.608432, 115.575587]]
### 6
fourier: [[44.129845, 46.604808, 50.680416, 55.550742, 62.960621, 64.030001, 66.021933, 70.137870, 74.782868, 415.518263], [15.845217, 16.768108, 18.235233, 19.948010, 22.629318, 22.964233, 23.688915, 25.202449, 26.822576, 159.264023], [15.814285, 16.198576, 16.931641, 19.822505, 21.834653, 23.752534, 24.185628, 24.515675, 27.733691, 29.152041], [18.338842, 19.700522, 21.430173, 23.103223, 26.349691, 26.385874, 27.271267, 29.329113, 30.796480, 216.543753], [33.484626, 35.325768, 38.414210, 42.148325, 47.748512, 48.612596, 50.113893, 53.198625, 56.774440, 302.423729]]
### 8
fourier: [[34.113971, 38.469650, 40.649341, 44.557426, 50.457915, 50.923342, 52.958609, 55.342419, 58.450812, 367.131572], [1.678736, 1.720581, 1.750051, 2.041982, 2.066363, 2.130094, 2.162041, 2.185171, 2.530864, 38.778321], [77.500691, 80.133403, 87.564124, 96.841038, 108.764566, 111.913074, 114.876967, 121.165786, 131.218241, 643.604285], [33.401088, 33.850105, 37.014261, 41.157438, 45.724803, 48.147897, 48.787878, 51.727190, 56.858757, 220.524528], [76.127078, 79.650730, 86.629661, 95.704862, 107.743522, 110.317577, 113.559745, 119.606710, 129.125375, 666.013681]]
### 10
fourier: [[123.405305, 134.530865, 143.693494, 158.637407, 180.015565, 182.335002, 188.742418, 196.203743, 211.262625, 1098.674820]]
## 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: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.797437,
0.026876,
0.239679,
0.342684,
0.239595
],
[
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-0.404254,
0.038958
],
[
-0.035284,
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-0.36729,
-0.379799,
0.376452
],
[
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0.017274,
0.366315,
0.129923,
0.2649
],
[
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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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[
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]
],
"network.2.bias": [
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"network.4.weight": [
[
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[
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[
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[
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"network.4.bias": [
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"network.6.weight": [
[
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],
[
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[
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[
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[
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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],
[
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0.072838
],
[
1.051898,
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0.82571
],
[
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0.671573,
0.003035,
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],
[
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]
],
"network.8.bias": [
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0.328277,
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],
"network.10.weight": [
[
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0.646776,
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[20.724680, 22.369649, 24.409978, 24.666764, 25.722335, 26.193514, 31.182355, 32.002567, 34.613164, 120.691212], [12.745455, 12.858940, 13.307955, 14.554561, 14.673863, 16.074562, 17.318974, 17.543875, 19.835952, 158.030907], [14.356058, 14.791863, 14.890569, 15.464577, 15.551960, 15.815048, 16.116332, 16.599617, 17.147766, 120.705654], [22.569757, 23.971225, 25.646700, 25.678404, 26.459620, 29.099781, 30.351743, 33.716073, 34.626460, 99.702253], [25.129121, 28.350708, 29.487076, 29.631257, 29.871121, 32.257839, 32.946829, 33.643043, 42.872636, 147.279194]]
### 2
fourier: [[20.524162, 23.213350, 24.401666, 25.052617, 28.457565, 29.238897, 32.796786, 34.439921, 37.663976, 83.652432], [30.613005, 32.803088, 36.421292, 36.473414, 43.472915, 43.490831, 48.906420, 52.903273, 55.219124, 129.732023], [7.725168, 7.919137, 8.279479, 8.952712, 9.062098, 9.799126, 11.052392, 11.210301, 13.122852, 96.045433], [26.237737, 30.090151, 32.083886, 34.996749, 37.308291, 39.190437, 42.248100, 47.040056, 48.235356, 179.208460], [6.661205, 6.756758, 6.765343, 7.064475, 7.132381, 7.570745, 7.988333, 8.176873, 8.349513, 115.409777]]
### 4
fourier: [[4.061539, 4.514532, 4.695960, 5.202732, 5.932055, 5.987015, 6.175791, 6.388803, 6.899544, 71.584236], [41.462439, 44.663329, 48.586898, 52.240299, 59.477804, 59.737498, 61.596671, 66.376866, 69.525237, 431.279457], [11.227478, 12.413968, 14.003762, 14.351327, 15.825436, 16.419971, 16.627502, 18.503211, 18.774490, 153.759401], [4.957519, 5.377991, 5.827665, 5.934373, 6.207449, 7.145590, 7.629447, 7.691837, 9.398964, 19.881738], [11.730110, 12.791989, 14.562661, 14.887088, 16.481358, 17.006104, 17.248051, 19.300585, 19.608432, 115.575587]]
### 6
fourier: [[44.129845, 46.604808, 50.680416, 55.550742, 62.960621, 64.030001, 66.021933, 70.137870, 74.782868, 415.518263], [15.845217, 16.768108, 18.235233, 19.948010, 22.629318, 22.964233, 23.688915, 25.202449, 26.822576, 159.264023], [15.814285, 16.198576, 16.931641, 19.822505, 21.834653, 23.752534, 24.185628, 24.515675, 27.733691, 29.152041], [18.338842, 19.700522, 21.430173, 23.103223, 26.349691, 26.385874, 27.271267, 29.329113, 30.796480, 216.543753], [33.484626, 35.325768, 38.414210, 42.148325, 47.748512, 48.612596, 50.113893, 53.198625, 56.774440, 302.423729]]
### 8
fourier: [[34.113971, 38.469650, 40.649341, 44.557426, 50.457915, 50.923342, 52.958609, 55.342419, 58.450812, 367.131572], [1.678736, 1.720581, 1.750051, 2.041982, 2.066363, 2.130094, 2.162041, 2.185171, 2.530864, 38.778321], [77.500691, 80.133403, 87.564124, 96.841038, 108.764566, 111.913074, 114.876967, 121.165786, 131.218241, 643.604285], [33.401088, 33.850105, 37.014261, 41.157438, 45.724803, 48.147897, 48.787878, 51.727190, 56.858757, 220.524528], [76.127078, 79.650730, 86.629661, 95.704862, 107.743522, 110.317577, 113.559745, 119.606710, 129.125375, 666.013681]]
### 10
fourier: [[123.405305, 134.530865, 143.693494, 158.637407, 180.015565, 182.335002, 188.742418, 196.203743, 211.262625, 1098.674820]]
## 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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37.308290792979555, 39.190436999101145, 42.248099701207195, 47.04005625012347, 48.2353564962909, 179.20846039801836]}, "4": {"fourier": [6.661204853213717, 6.756758314800944, 6.765343465650632, 7.06447539720592, 7.132380873825652, 7.570745456979537, 7.9883327913213, 8.176872932527262, 8.349513182494148, 115.40977656841278]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [4.061539377774628, 4.514531614846983, 4.695960285673726, 5.202732330991386, 5.932055247640383, 5.987015085498609, 6.175791391872692, 6.388802537891804, 6.89954431948437, 71.58423575758934]}, "1": {"fourier": [41.46243867017017, 44.663328610992195, 48.58689826866567, 52.240298792853984, 59.47780432673444, 59.737498252168365, 61.596671462395946, 66.37686635515384, 69.52523704311312, 431.27945709228516]}, "2": {"fourier": [11.227477867539859, 12.413967631122217, 14.003762312387975, 14.35132676099766, 15.825436458614387, 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["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [123.40530499633556, 134.53086496757783, 143.69349381954214, 158.6374066385291, 180.0155653175902, 182.33500188927746, 188.74241793123673, 196.20374257072874, 211.2626246034372, 1098.6748204231262]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "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": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.797437, 0.026876, 0.239679, 0.342684, 0.239595], [-0.17789, -0.050091, -0.145122, -0.404254, 0.038958], [-0.035284, 0.037828, -0.36729, -0.379799, 0.376452], [-0.891877, 0.017274, 0.366315, 0.129923, 0.2649], [0.921654, 0.012869, -0.153498, 0.04516, 0.249727]], "network.0.bias": [0.753375, -0.321254, -0.248801, 0.815704, 0.381838], "network.2.weight": [[0.443356, 0.297237, 0.134061, 0.341522, -0.550076], [0.651211, -0.061438, 0.368508, 0.764393, -0.675374], [-0.045115, -0.074306, -0.242615, 0.004746, -0.329456], [0.593667, 0.004004, 0.597324, 1.030112, -0.344004], [-0.563404, -0.267123, 0.257857, 0.119669, -0.181457]], "network.2.bias": [0.606428, 0.353977, -0.443993, 0.048839, -0.240651], "network.4.weight": [[0.013209, -0.252858, -0.399024, 0.028436, -0.246324], [0.974563, 0.715423, -0.211309, 0.734194, -0.195839], [0.141102, -0.299924, -0.394408, -0.33254, -0.407646], [-0.757472, -0.111141, -0.416645, 0.297885, 0.126795], [-0.017158, -0.125469, 0.04862, -0.420996, -0.10837]], "network.4.bias": [-0.352201, 0.241329, -0.503352, 0.806906, -0.018254], "network.6.weight": [[0.147424, 0.999896, 0.32038, -0.762328, 0.403689], [0.446825, -0.361383, 0.297608, 0.245832, 0.272496], [-0.18381, -0.282837, -0.025431, 1.158231, 0.36417], [0.401909, -0.438553, 0.266412, 0.044416, 0.277898], [-0.199443, 0.756158, 0.365244, -0.608394, -0.117891]], "network.6.bias": [0.057996, -0.112868, 0.678013, -0.318054, -0.077593], "network.8.weight": [[-0.416902, 0.317926, -0.191409, -0.432033, -0.581707], [-0.121636, -0.157563, -0.255306, -0.152478, 0.072838], [1.051898, -0.127785, -0.803855, -0.263987, 0.82571], [-0.335072, -0.338198, 0.671573, 0.003035, -0.435117], [0.968359, 0.38583, -0.641684, -0.064546, 0.942057]], "network.8.bias": [-0.022173, 0.002903, -0.28686, 0.328277, -0.120762], "network.10.weight": [[-0.037609, -0.187554, -0.969434, 0.646776, -0.750499]], "network.10.bias": [0.659956]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6834456622600555, "train_acc": 0.56, "val_loss": 0.7223269939422607, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6832236647605896, "train_acc": 0.56, "val_loss": 0.6693869829177856, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5974553227424622, "train_acc": 0.505, "val_loss": 0.5452044010162354, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4605550169944763, "train_acc": 0.505, "val_loss": 0.5008702874183655, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4104837030172348, "train_acc": 0.91, "val_loss": 0.444588303565979, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.34919898211956024, "train_acc": 0.94, "val_loss": 0.3665395975112915, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.30215615034103394, "train_acc": 0.94, "val_loss": 0.33602145314216614, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2602447047829628, "train_acc": 0.94, "val_loss": 0.2673087418079376, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.20572474598884583, "train_acc": 0.945, "val_loss": 0.20843832194805145, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.18063786625862122, "train_acc": 0.945, "val_loss": 0.1929706633090973, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.18078741431236267, "train_acc": 0.945, "val_loss": 0.20449283719062805, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.20361417531967163, "train_acc": 0.945, "val_loss": 0.21748462319374084, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7223269939422607, "final_val_loss": 0.6693869829177856, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5452044010162354, "final_val_loss": 0.21748462319374084, "initial_val_acc": 0.48, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 8}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
175
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.56, "improved_accuracy": 0.76, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1842, "learning_rate": 0.07888729943982431, "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: 7
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: [[25.161065, 28.396043, 29.684658, 30.118574, 30.349779, 31.382108, 34.958217, 36.164156, 37.313835, 121.767068], [29.105526, 30.697898, 34.708518, 36.616573, 37.204580, 38.345732, 39.126286, 40.279109, 51.004775, 173.097564], [19.504599, 20.325640, 21.425831, 21.658233, 21.796559, 23.492996, 24.692119, 25.100235, 29.829779, 132.491764], [23.346589, 23.974359, 27.818858, 28.620461, 29.403791, 31.279148, 34.172437, 35.048556, 39.573712, 55.988581], [28.842893, 29.424324, 30.748909, 32.920736, 35.045641, 35.227419, 39.270644, 42.096889, 44.266584, 285.560809], [35.695922, 38.351261, 39.133363, 40.541799, 41.248829, 41.984123, 48.144759, 49.033475, 50.465063, 170.001888], [17.903154, 17.955124, 20.090363, 20.552489, 22.748511, 22.879068, 24.091250, 25.595022, 26.214688, 180.377582]]
### 2
fourier: [[31.406789, 31.996144, 33.935608, 35.436490, 36.213573, 37.071134, 38.108467, 39.114900, 39.758735, 151.047421], [25.046555, 25.161469, 27.170210, 27.433682, 28.145920, 28.564962, 28.917010, 30.049154, 33.235544, 101.597947], [35.110083, 35.220235, 36.009924, 36.337447, 38.593232, 39.056814, 40.209532, 41.585803, 43.742823, 159.335890], [4.381059, 4.417793, 4.832983, 4.912957, 4.964781, 5.440784, 5.554248, 5.886957, 5.932824, 14.743469], [23.508150, 24.672838, 25.949201, 27.430970, 27.941303, 28.593722, 29.924662, 30.418578, 30.669285, 137.756446], [28.719244, 29.199213, 29.436509, 30.400234, 31.238536, 32.068572, 33.483981, 34.253891, 35.841008, 111.781760], [2.646524, 2.882882, 3.029238, 3.062060, 3.132995, 3.464770, 3.597217, 4.316473, 4.641764, 39.625785]]
### 4
fourier: [[7.382556, 7.713620, 8.347245, 8.799548, 8.902546, 9.134683, 10.986394, 11.179165, 11.597277, 90.525263], [66.919805, 67.119470, 72.668166, 74.571872, 76.484895, 77.290552, 80.835970, 85.287137, 85.582843, 265.367054], [1.307806, 1.350593, 1.357301, 1.422945, 1.742454, 1.936965, 2.018489, 2.065800, 2.537478, 62.554742], [12.509361, 12.813611, 13.202979, 14.230656, 15.079793, 15.096285, 15.560938, 15.684429, 16.290994, 116.374533], [27.006314, 27.175199, 28.769436, 30.430685, 30.922114, 31.104594, 33.285526, 33.833292, 34.279613, 167.505900], [13.614072, 14.413826, 14.549848, 15.887855, 16.204161, 17.293556, 17.359713, 17.846728, 18.768420, 132.722114], [7.060441, 7.171407, 7.688646, 7.958845, 8.064722, 8.478645, 8.961469, 9.024328, 9.334986, 18.278718]]
### 6
fourier: [[65.209332, 66.009288, 72.329662, 75.849923, 77.112190, 77.894054, 81.833162, 85.075691, 87.535659, 263.981496], [1.982583, 2.125488, 2.258722, 2.294139, 2.357273, 2.403193, 2.502259, 2.651517, 2.779523, 92.553265], [36.135542, 36.712834, 39.836718, 42.437778, 42.522972, 42.875679, 45.527700, 46.670936, 48.511384, 131.860014], [2.697170, 2.733554, 2.805308, 2.815577, 2.820978, 3.001547, 3.517121, 3.525860, 3.541085, 5.462146], [3.819007, 3.895084, 4.243705, 4.331231, 4.503247, 4.585227, 4.785130, 5.065391, 5.107530, 17.654269], [29.686343, 29.947022, 33.058246, 34.571123, 34.939430, 35.515958, 37.088537, 38.628140, 39.759136, 172.905763], [10.707565, 11.186961, 11.509981, 12.322403, 12.341842, 12.962996, 13.855741, 14.129399, 14.488008, 74.737812]]
### 8
fourier: [[55.949345, 57.703917, 62.232266, 66.681422, 67.357772, 67.370346, 73.042361, 74.180242, 77.772471, 142.506822], [37.736194, 38.814140, 42.309048, 45.180771, 45.306591, 45.586271, 49.118833, 49.854249, 52.450461, 73.237330], [10.751546, 11.040718, 11.347376, 11.999407, 12.191150, 13.204083, 14.310606, 14.425463, 14.656195, 88.296805], [9.605536, 9.866905, 10.045198, 10.816165, 10.921112, 11.715425, 12.811412, 12.845388, 13.175478, 70.849759], [47.779119, 49.383127, 53.402699, 57.203606, 57.481526, 57.601962, 62.633778, 63.160343, 66.611876, 156.943364], [34.012231, 34.940799, 38.546222, 39.980204, 40.909772, 41.539460, 44.187288, 44.382903, 47.132686, 232.312508], [37.923514, 39.165343, 42.953817, 45.017659, 45.777752, 46.349377, 49.680990, 49.951851, 52.938123, 230.064250]]
### 10
fourier: [[88.597737, 89.711412, 100.973618, 101.138100, 105.003916, 109.495296, 115.424225, 116.288066, 123.645730, 277.983114], [76.334673, 77.654346, 87.191472, 87.246940, 90.466857, 94.285233, 99.643768, 100.331916, 106.515007, 220.470844], [10.033300, 10.228427, 10.505394, 10.819947, 10.956229, 12.750875, 13.228406, 13.517326, 14.450346, 108.056841], [89.955119, 90.489120, 101.041794, 103.031557, 105.986616, 111.502497, 116.625349, 117.861110, 125.273737, 258.925966], [36.975970, 37.022520, 40.552767, 43.088700, 43.433978, 46.680819, 47.150133, 48.152752, 51.334444, 88.290155], [23.881919, 24.425130, 24.936645, 26.996034, 27.825760, 29.045728, 30.319324, 31.477928, 31.667635, 33.591690], [55.446959, 56.104463, 60.304517, 65.483058, 65.626496, 70.793399, 71.110932, 72.625701, 77.539531, 169.963834]]
### 12
fourier: [[149.691767, 150.735073, 162.790362, 175.007363, 175.634034, 188.673084, 192.677467, 196.108437, 207.849436, 497.547806]]
## 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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[25.161065, 28.396043, 29.684658, 30.118574, 30.349779, 31.382108, 34.958217, 36.164156, 37.313835, 121.767068], [29.105526, 30.697898, 34.708518, 36.616573, 37.204580, 38.345732, 39.126286, 40.279109, 51.004775, 173.097564], [19.504599, 20.325640, 21.425831, 21.658233, 21.796559, 23.492996, 24.692119, 25.100235, 29.829779, 132.491764], [23.346589, 23.974359, 27.818858, 28.620461, 29.403791, 31.279148, 34.172437, 35.048556, 39.573712, 55.988581], [28.842893, 29.424324, 30.748909, 32.920736, 35.045641, 35.227419, 39.270644, 42.096889, 44.266584, 285.560809], [35.695922, 38.351261, 39.133363, 40.541799, 41.248829, 41.984123, 48.144759, 49.033475, 50.465063, 170.001888], [17.903154, 17.955124, 20.090363, 20.552489, 22.748511, 22.879068, 24.091250, 25.595022, 26.214688, 180.377582]]
### 2
fourier: [[31.406789, 31.996144, 33.935608, 35.436490, 36.213573, 37.071134, 38.108467, 39.114900, 39.758735, 151.047421], [25.046555, 25.161469, 27.170210, 27.433682, 28.145920, 28.564962, 28.917010, 30.049154, 33.235544, 101.597947], [35.110083, 35.220235, 36.009924, 36.337447, 38.593232, 39.056814, 40.209532, 41.585803, 43.742823, 159.335890], [4.381059, 4.417793, 4.832983, 4.912957, 4.964781, 5.440784, 5.554248, 5.886957, 5.932824, 14.743469], [23.508150, 24.672838, 25.949201, 27.430970, 27.941303, 28.593722, 29.924662, 30.418578, 30.669285, 137.756446], [28.719244, 29.199213, 29.436509, 30.400234, 31.238536, 32.068572, 33.483981, 34.253891, 35.841008, 111.781760], [2.646524, 2.882882, 3.029238, 3.062060, 3.132995, 3.464770, 3.597217, 4.316473, 4.641764, 39.625785]]
### 4
fourier: [[7.382556, 7.713620, 8.347245, 8.799548, 8.902546, 9.134683, 10.986394, 11.179165, 11.597277, 90.525263], [66.919805, 67.119470, 72.668166, 74.571872, 76.484895, 77.290552, 80.835970, 85.287137, 85.582843, 265.367054], [1.307806, 1.350593, 1.357301, 1.422945, 1.742454, 1.936965, 2.018489, 2.065800, 2.537478, 62.554742], [12.509361, 12.813611, 13.202979, 14.230656, 15.079793, 15.096285, 15.560938, 15.684429, 16.290994, 116.374533], [27.006314, 27.175199, 28.769436, 30.430685, 30.922114, 31.104594, 33.285526, 33.833292, 34.279613, 167.505900], [13.614072, 14.413826, 14.549848, 15.887855, 16.204161, 17.293556, 17.359713, 17.846728, 18.768420, 132.722114], [7.060441, 7.171407, 7.688646, 7.958845, 8.064722, 8.478645, 8.961469, 9.024328, 9.334986, 18.278718]]
### 6
fourier: [[65.209332, 66.009288, 72.329662, 75.849923, 77.112190, 77.894054, 81.833162, 85.075691, 87.535659, 263.981496], [1.982583, 2.125488, 2.258722, 2.294139, 2.357273, 2.403193, 2.502259, 2.651517, 2.779523, 92.553265], [36.135542, 36.712834, 39.836718, 42.437778, 42.522972, 42.875679, 45.527700, 46.670936, 48.511384, 131.860014], [2.697170, 2.733554, 2.805308, 2.815577, 2.820978, 3.001547, 3.517121, 3.525860, 3.541085, 5.462146], [3.819007, 3.895084, 4.243705, 4.331231, 4.503247, 4.585227, 4.785130, 5.065391, 5.107530, 17.654269], [29.686343, 29.947022, 33.058246, 34.571123, 34.939430, 35.515958, 37.088537, 38.628140, 39.759136, 172.905763], [10.707565, 11.186961, 11.509981, 12.322403, 12.341842, 12.962996, 13.855741, 14.129399, 14.488008, 74.737812]]
### 8
fourier: [[55.949345, 57.703917, 62.232266, 66.681422, 67.357772, 67.370346, 73.042361, 74.180242, 77.772471, 142.506822], [37.736194, 38.814140, 42.309048, 45.180771, 45.306591, 45.586271, 49.118833, 49.854249, 52.450461, 73.237330], [10.751546, 11.040718, 11.347376, 11.999407, 12.191150, 13.204083, 14.310606, 14.425463, 14.656195, 88.296805], [9.605536, 9.866905, 10.045198, 10.816165, 10.921112, 11.715425, 12.811412, 12.845388, 13.175478, 70.849759], [47.779119, 49.383127, 53.402699, 57.203606, 57.481526, 57.601962, 62.633778, 63.160343, 66.611876, 156.943364], [34.012231, 34.940799, 38.546222, 39.980204, 40.909772, 41.539460, 44.187288, 44.382903, 47.132686, 232.312508], [37.923514, 39.165343, 42.953817, 45.017659, 45.777752, 46.349377, 49.680990, 49.951851, 52.938123, 230.064250]]
### 10
fourier: [[88.597737, 89.711412, 100.973618, 101.138100, 105.003916, 109.495296, 115.424225, 116.288066, 123.645730, 277.983114], [76.334673, 77.654346, 87.191472, 87.246940, 90.466857, 94.285233, 99.643768, 100.331916, 106.515007, 220.470844], [10.033300, 10.228427, 10.505394, 10.819947, 10.956229, 12.750875, 13.228406, 13.517326, 14.450346, 108.056841], [89.955119, 90.489120, 101.041794, 103.031557, 105.986616, 111.502497, 116.625349, 117.861110, 125.273737, 258.925966], [36.975970, 37.022520, 40.552767, 43.088700, 43.433978, 46.680819, 47.150133, 48.152752, 51.334444, 88.290155], [23.881919, 24.425130, 24.936645, 26.996034, 27.825760, 29.045728, 30.319324, 31.477928, 31.667635, 33.591690], [55.446959, 56.104463, 60.304517, 65.483058, 65.626496, 70.793399, 71.110932, 72.625701, 77.539531, 169.963834]]
### 12
fourier: [[149.691767, 150.735073, 162.790362, 175.007363, 175.634034, 188.673084, 192.677467, 196.108437, 207.849436, 497.547806]]
## 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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207.84943574626936, 497.54780626296997]}}, "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": "gelu", "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": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.748996, 0.106519, -0.50996, -0.688665, 0.093371], [-1.064453, 0.161428, -0.140163, 0.024738, -0.087017], [-0.575521, -0.261761, -0.109327, 0.173822, 0.156451], [0.822308, 0.071953, -0.242982, -0.552519, 0.067062], [-0.62977, -0.15436, -0.412135, -0.64266, 0.054328], [0.966697, 0.705993, 0.147926, -0.055521, -0.513403], [0.128544, -0.604816, -0.147048, -0.027692, -0.451884]], "network.0.bias": [-0.052257, -0.545754, -0.616275, -0.166826, 0.064144, -0.157309, -0.138177], "network.2.weight": [[0.338341, 0.368293, 0.441753, 0.459612, 0.113018, 0.605504, 0.325932], [0.262627, 0.028814, 0.318133, -0.08096, 0.074632, 0.667737, -0.835297], [0.279766, 0.645656, 0.537629, 0.32366, 0.080288, 0.735919, -0.224776], [-0.204916, -0.951082, -0.429413, 0.111172, -0.36824, -0.088294, -0.122978], [-0.112878, -0.34201, 0.485476, -0.545537, 0.679639, -0.446499, 0.061121], [-0.127398, -0.251714, -0.408697, -0.357347, 0.157047, -0.600538, -0.032507], [-0.199272, -0.219526, 0.245654, 0.305256, -0.212595, -0.131901, 0.317225]], "network.2.bias": [0.223175, -0.28585, 0.125397, 0.219201, -0.311825, 0.134685, 0.626987], "network.4.weight": [[-0.097512, -0.198633, -0.017653, 0.079903, -0.343277, -0.87716, -0.337301], [0.636055, 0.958011, 0.62762, -0.537395, 0.651307, 0.497673, -0.688024], [0.05049, 0.032362, -0.125245, 0.077319, 0.154458, -0.360547, -0.483565], [0.008123, -0.008257, -0.428061, -0.302966, 0.633575, -0.208638, -0.402307], [-0.270893, -0.213613, -0.394221, 0.402597, 0.104827, -0.062987, -0.651317], [-0.115779, -0.241637, -0.170239, -0.15596, 0.078644, -0.503467, -0.3456], [0.032547, -0.223083, -0.043221, 0.250683, 0.064184, -0.279604, 0.53235]], "network.4.bias": [-0.515762, 0.072293, -0.437965, -0.329141, -0.333743, -0.573409, 0.289291], "network.6.weight": [[-0.660089, 0.990815, -0.233337, -0.733489, 0.520158, 0.175939, -0.855009], [0.922146, -0.06315, 0.257746, 0.379724, 0.012626, 1.114473, -0.063234], [-0.095077, 0.556658, -0.116887, 0.00163, 0.086529, 0.394975, -0.0471], [-0.676256, -0.041706, -0.211477, -0.225774, 0.210315, -0.471263, -0.355566], [0.319232, 0.047056, 0.443611, 0.222982, 0.174006, -0.183481, -0.15727], [0.390694, -0.463303, 0.167961, 0.391627, 0.006829, 0.475271, 0.374995], [-0.9272, -0.113111, -0.780223, -0.994015, -0.566786, -1.113857, 0.239022]], "network.6.bias": [-0.036755, -0.465966, -0.190682, -0.049191, -0.161755, -0.405005, 0.53988], "network.8.weight": [[0.595949, 0.246227, 0.384369, 0.172068, -0.205671, 0.698808, -0.711841], [0.456072, -0.22876, 0.183569, 0.046042, 0.261829, 0.308055, -0.282205], [0.24307, -0.892851, -0.538204, 0.127406, -0.413079, -0.208756, 0.864552], [-0.251676, 0.240565, 0.565546, 0.094403, 0.275657, 0.609946, -0.684574], [0.389831, 0.09443, 0.551111, -0.778058, -0.0876, 0.78311, -0.443119], [0.343464, -0.34983, 0.397808, -0.834356, -0.723363, -0.570584, 0.043617], [-0.231144, 0.031533, -0.678564, 0.305659, 0.671372, -0.027959, 0.143731]], "network.8.bias": [-0.113863, -0.599214, 0.185393, -0.220965, 0.163892, 0.734898, -0.889929], "network.10.weight": [[0.33631, 0.575411, -0.35761, -0.076847, 0.920651, 0.183091, 0.89585], [0.323771, 0.689919, -0.622391, -0.044386, 0.466983, 0.293201, 0.195772], [0.351663, 0.55663, 0.276459, 0.958626, -0.12026, -0.655924, 0.933352], [0.848166, 0.57928, -0.456055, -0.133288, 0.5952, -0.121818, 0.598857], [-0.061102, -0.591073, -0.066133, -0.196938, -0.407173, 0.150549, -0.383975], [-0.412034, -0.661577, 0.237228, -0.628852, 0.065981, 0.579553, -0.319101], [0.317979, 0.896843, 0.319594, 0.212026, 0.522526, -0.38735, 0.699735]], "network.10.bias": [-0.283815, -0.235387, -1.001332, -0.166399, 0.408135, 0.254054, -0.334746], "network.12.weight": [[-0.419665, -0.522943, 0.143675, -0.629406, 0.298637, 0.601006, -0.35746]], "network.12.bias": [0.083453]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6987268626689911, "train_acc": 0.445, "val_loss": 0.6869708895683289, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6876062154769897, "train_acc": 0.555, "val_loss": 0.6873727440834045, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6930313408374786, "train_acc": 0.555, "val_loss": 0.6820449829101562, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6786527037620544, "train_acc": 0.555, "val_loss": 0.6286937594413757, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5954323410987854, "train_acc": 0.53, "val_loss": 0.49741995334625244, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4920661002397537, "train_acc": 0.775, "val_loss": 0.4846387505531311, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5017397999763489, "train_acc": 0.75, "val_loss": 0.4470883905887604, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.47767971456050873, "train_acc": 0.755, "val_loss": 0.6856220960617065, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.8128789663314819, "train_acc": 0.75, "val_loss": 0.5180625319480896, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4922340661287308, "train_acc": 0.755, "val_loss": 0.5356672406196594, "val_acc": 0.68}], "summary": {"total_epochs": 10, "degraded_epochs": 4, "improved_epochs": 6, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6869708895683289, "final_val_loss": 0.6286937594413757, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.49741995334625244, "final_val_loss": 0.5356672406196594, "initial_val_acc": 0.72, "final_val_acc": 0.68, "best_val_acc": 0.76, "best_epoch": 5}, "improvement": 0.19999999999999996, "first_improvement_epoch": 3}}
|
176
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.44, "improved_accuracy": 0.92, "improvement": 0.48000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4691, "learning_rate": 0.011065651197006691, "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: 4
Neurons per Layer: 6
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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"network.2.bias": [
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}
## Activation Signature
### 0
fourier: [[14.264781, 15.423822, 16.348084, 16.564456, 19.375308, 19.477527, 20.022104, 20.072855, 22.368716, 193.822529], [15.407353, 15.536548, 17.163538, 17.522787, 18.021226, 18.758196, 19.461624, 20.816504, 28.081852, 28.539187], [11.302262, 11.335458, 12.206670, 12.589527, 13.052400, 13.634874, 15.369407, 15.553016, 17.714534, 29.769596], [20.845325, 25.003322, 25.225870, 25.607703, 26.552353, 27.975058, 28.272262, 28.933266, 31.565853, 186.748146], [8.988757, 9.734744, 9.765302, 9.832700, 10.619825, 11.477036, 12.929743, 12.987464, 14.924421, 27.880897], [21.894698, 22.359408, 23.219923, 23.339101, 23.490445, 29.365603, 30.191296, 31.007770, 35.348254, 85.351383]]
### 2
fourier: [[7.178284, 7.576160, 7.825002, 8.009465, 8.366659, 8.509224, 8.932603, 9.020478, 9.273903, 53.822258], [17.293441, 17.345943, 18.005080, 18.162347, 18.276220, 20.409331, 22.821210, 23.354341, 24.955250, 143.066247], [8.941778, 9.957181, 10.015082, 10.229174, 10.312797, 10.740822, 10.955303, 11.541431, 12.967094, 65.068844], [11.330835, 12.501415, 12.841516, 13.555165, 13.834079, 14.179253, 14.615489, 16.173458, 17.098735, 99.282079], [3.775821, 3.870516, 3.944741, 3.985320, 4.054066, 4.604742, 6.309466, 6.586189, 7.443675, 58.789911], [11.199329, 11.420177, 11.487398, 11.672819, 12.510504, 12.545867, 13.014323, 13.019447, 13.300346, 18.048626]]
### 4
fourier: [[19.870012, 20.778211, 21.368965, 21.383528, 21.508245, 22.324590, 24.056416, 26.869948, 27.152616, 148.866714], [9.771386, 10.078351, 10.157117, 10.447934, 10.499768, 11.195384, 12.214183, 13.066564, 13.464008, 54.197441], [2.041976, 2.091168, 2.254289, 2.276208, 2.331437, 2.335794, 2.362832, 2.595504, 2.958937, 50.516700], [7.288166, 7.353476, 7.630346, 7.828356, 8.276083, 8.329844, 9.941536, 10.112557, 10.984002, 45.316597], [13.584666, 13.846363, 14.126434, 14.497922, 14.584986, 15.263221, 16.568427, 18.542187, 19.127565, 97.514203], [3.820900, 3.931214, 4.127535, 4.324331, 4.628922, 4.836960, 5.025066, 5.363373, 5.899621, 63.711640]]
### 6
fourier: [[29.162468, 29.224073, 29.921571, 30.115728, 30.119596, 31.387910, 34.650632, 37.504830, 39.350369, 156.332124], [3.268716, 3.384777, 3.439224, 3.512122, 3.543119, 3.559901, 4.212178, 4.249225, 4.538310, 38.892552], [13.855077, 13.931104, 14.345164, 14.391753, 14.715106, 14.727761, 16.929852, 17.994948, 19.188169, 108.503507], [6.857243, 6.949300, 7.147295, 7.340824, 7.379610, 7.544765, 8.401232, 9.207311, 9.672699, 51.344408], [5.265988, 5.285720, 5.400444, 5.402938, 5.450320, 5.667666, 6.171859, 6.787261, 7.094804, 29.734365], [19.624844, 20.167011, 20.420362, 20.849825, 21.258346, 22.142007, 23.273743, 25.960236, 26.679927, 104.418499]]
### 8
fourier: [[29.900249, 30.419833, 30.834374, 31.131463, 32.344432, 32.455067, 35.172553, 37.370791, 40.459387, 162.380184]]
## 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: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.112229,
0.627488,
0.367866,
-0.13137
],
[
-0.277242,
-0.177937,
-0.337658,
0.036977,
0.269143,
0.093548
],
[
-0.194295,
-0.317715,
-0.323685,
-0.305351,
-0.328436,
-0.19747
],
[
-0.060042,
0.084283,
-0.020911,
-0.232576,
-0.348975,
-0.03373
],
[
0.012208,
-0.215964,
0.072479,
-0.052055,
-0.212455,
-0.071484
],
[
0.584629,
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0.185309,
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]
],
"network.6.bias": [
-0.49246,
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0.008254,
-0.012697,
0.660311,
-0.085477
],
"network.8.weight": [
[
-0.679937,
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-0.108403,
0.200452,
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]
],
"network.8.bias": [
-0.101571
]
}
## Activation Signature
### 0
fourier: [[14.264781, 15.423822, 16.348084, 16.564456, 19.375308, 19.477527, 20.022104, 20.072855, 22.368716, 193.822529], [15.407353, 15.536548, 17.163538, 17.522787, 18.021226, 18.758196, 19.461624, 20.816504, 28.081852, 28.539187], [11.302262, 11.335458, 12.206670, 12.589527, 13.052400, 13.634874, 15.369407, 15.553016, 17.714534, 29.769596], [20.845325, 25.003322, 25.225870, 25.607703, 26.552353, 27.975058, 28.272262, 28.933266, 31.565853, 186.748146], [8.988757, 9.734744, 9.765302, 9.832700, 10.619825, 11.477036, 12.929743, 12.987464, 14.924421, 27.880897], [21.894698, 22.359408, 23.219923, 23.339101, 23.490445, 29.365603, 30.191296, 31.007770, 35.348254, 85.351383]]
### 2
fourier: [[7.178284, 7.576160, 7.825002, 8.009465, 8.366659, 8.509224, 8.932603, 9.020478, 9.273903, 53.822258], [17.293441, 17.345943, 18.005080, 18.162347, 18.276220, 20.409331, 22.821210, 23.354341, 24.955250, 143.066247], [8.941778, 9.957181, 10.015082, 10.229174, 10.312797, 10.740822, 10.955303, 11.541431, 12.967094, 65.068844], [11.330835, 12.501415, 12.841516, 13.555165, 13.834079, 14.179253, 14.615489, 16.173458, 17.098735, 99.282079], [3.775821, 3.870516, 3.944741, 3.985320, 4.054066, 4.604742, 6.309466, 6.586189, 7.443675, 58.789911], [11.199329, 11.420177, 11.487398, 11.672819, 12.510504, 12.545867, 13.014323, 13.019447, 13.300346, 18.048626]]
### 4
fourier: [[19.870012, 20.778211, 21.368965, 21.383528, 21.508245, 22.324590, 24.056416, 26.869948, 27.152616, 148.866714], [9.771386, 10.078351, 10.157117, 10.447934, 10.499768, 11.195384, 12.214183, 13.066564, 13.464008, 54.197441], [2.041976, 2.091168, 2.254289, 2.276208, 2.331437, 2.335794, 2.362832, 2.595504, 2.958937, 50.516700], [7.288166, 7.353476, 7.630346, 7.828356, 8.276083, 8.329844, 9.941536, 10.112557, 10.984002, 45.316597], [13.584666, 13.846363, 14.126434, 14.497922, 14.584986, 15.263221, 16.568427, 18.542187, 19.127565, 97.514203], [3.820900, 3.931214, 4.127535, 4.324331, 4.628922, 4.836960, 5.025066, 5.363373, 5.899621, 63.711640]]
### 6
fourier: [[29.162468, 29.224073, 29.921571, 30.115728, 30.119596, 31.387910, 34.650632, 37.504830, 39.350369, 156.332124], [3.268716, 3.384777, 3.439224, 3.512122, 3.543119, 3.559901, 4.212178, 4.249225, 4.538310, 38.892552], [13.855077, 13.931104, 14.345164, 14.391753, 14.715106, 14.727761, 16.929852, 17.994948, 19.188169, 108.503507], [6.857243, 6.949300, 7.147295, 7.340824, 7.379610, 7.544765, 8.401232, 9.207311, 9.672699, 51.344408], [5.265988, 5.285720, 5.400444, 5.402938, 5.450320, 5.667666, 6.171859, 6.787261, 7.094804, 29.734365], [19.624844, 20.167011, 20.420362, 20.849825, 21.258346, 22.142007, 23.273743, 25.960236, 26.679927, 104.418499]]
### 8
fourier: [[29.900249, 30.419833, 30.834374, 31.131463, 32.344432, 32.455067, 35.172553, 37.370791, 40.459387, 162.380184]]
## 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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10.312796745329042, 10.740822100854013, 10.955303031805691, 11.541431328444137, 12.96709352143954, 65.06884392350912]}, "3": {"fourier": [11.330835020750975, 12.501415479851415, 12.841515671582686, 13.555165116204051, 13.834079214459159, 14.179253247477806, 14.61548873207431, 16.17345756410106, 17.09873526330256, 99.28207919001579]}, "4": {"fourier": [3.7758205059849765, 3.8705161616357544, 3.9447406819851314, 3.9853197530909603, 4.054065778286697, 4.604742346034752, 6.309465743536376, 6.586188767049414, 7.443675123334599, 58.78991128504276]}, "5": {"fourier": [11.199328763291831, 11.420177350833738, 11.48739787316209, 11.672819188318627, 12.510503783902086, 12.54586694063744, 13.014323302189732, 13.019446727484993, 13.300346460872333, 18.048625961125317]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [19.870012156719735, 20.77821051663863, 21.36896468077617, 21.383528062840266, 21.508244996707027, 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"model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "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": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.241775, -0.028336, -0.360539, -0.341575, 0.05857], [-0.484797, 0.001963, 0.375286, -0.330979, 0.36191], [-0.069014, 0.227108, -0.416987, -0.119863, 0.009925], [0.162701, 0.230466, 0.566994, 0.462142, -0.189007], [0.309563, -0.033981, -0.179466, -0.141673, 0.119762], [0.528734, 0.589776, -0.451249, 0.111406, 0.005089]], "network.0.bias": [-0.387694, -0.237896, 0.457108, -0.489772, 0.517463, -0.086906], "network.2.weight": [[0.109602, 0.16633, -0.098548, -0.182042, -0.283626, -0.144245], [0.288465, 0.123394, 0.02965, 0.320439, 0.58634, 0.551457], [0.241604, 0.463141, -0.388187, -0.428355, -0.417723, 0.095405], [-0.23815, -0.106638, 0.171658, 0.448779, 0.225828, 0.153582], [-0.061588, -0.281204, -0.038151, 0.022317, 0.251649, -0.265956], [0.061365, -0.159188, -0.470944, 0.187583, -0.457591, -0.550879]], "network.2.bias": [0.049192, -0.067642, 0.179746, -0.13788, -0.394494, 0.607385], "network.4.weight": [[-0.09795, 0.643587, -0.542551, 0.633631, -0.036182, -0.673129], [-0.198812, 0.429032, -0.185537, 0.157625, 0.002532, -0.221911], [0.274785, 0.03946, -0.2412, -0.009585, 0.038739, 0.393219], [-0.031983, 0.387823, -0.017989, 0.079874, 0.359472, 0.09342], [-0.035224, 0.356986, -0.246737, 0.591644, 0.325434, -0.279575], [0.182444, -0.092251, -0.043012, -0.214807, -0.165243, -0.109854]], "network.4.bias": [0.197755, -0.165249, 0.370941, -0.234812, -0.025618, -0.283134], "network.6.weight": [[0.640146, 0.620232, 0.112229, 0.627488, 0.367866, -0.13137], [-0.277242, -0.177937, -0.337658, 0.036977, 0.269143, 0.093548], [-0.194295, -0.317715, -0.323685, -0.305351, -0.328436, -0.19747], [-0.060042, 0.084283, -0.020911, -0.232576, -0.348975, -0.03373], [0.012208, -0.215964, 0.072479, -0.052055, -0.212455, -0.071484], [0.584629, 0.041249, -0.51623, 0.659577, 0.185309, 0.278934]], "network.6.bias": [-0.49246, 0.015096, 0.008254, -0.012697, 0.660311, -0.085477], "network.8.weight": [[-0.679937, 0.02438, -0.108403, 0.200452, 0.277674, -0.498572]], "network.8.bias": [-0.101571]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6698768734931946, "train_acc": 0.585, "val_loss": 0.7239654064178467, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6671218276023865, "train_acc": 0.585, "val_loss": 0.7181982398033142, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6690351963043213, "train_acc": 0.585, "val_loss": 0.7135909795761108, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6547717154026031, "train_acc": 0.585, "val_loss": 0.7030420899391174, "val_acc": 0.44}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6450630128383636, "train_acc": 0.585, "val_loss": 0.6873318552970886, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6470126211643219, "train_acc": 0.515, "val_loss": 0.6601818799972534, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6238482594490051, "train_acc": 0.515, "val_loss": 0.6363241076469421, "val_acc": 0.44}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6065021455287933, "train_acc": 0.515, "val_loss": 0.6137199997901917, "val_acc": 0.44}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5851145088672638, "train_acc": 0.515, "val_loss": 0.5917181968688965, "val_acc": 0.44}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5498822033405304, "train_acc": 0.515, "val_loss": 0.5723298788070679, "val_acc": 0.44}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5306222438812256, "train_acc": 0.515, "val_loss": 0.5544145703315735, "val_acc": 0.44}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.5215554237365723, "train_acc": 0.515, "val_loss": 0.5313517451286316, "val_acc": 0.44}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.4844377189874649, "train_acc": 0.515, "val_loss": 0.5071816444396973, "val_acc": 0.44}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.4558638632297516, "train_acc": 0.63, "val_loss": 0.48166340589523315, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.4322737604379654, "train_acc": 0.855, "val_loss": 0.4598124623298645, "val_acc": 0.92}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7239654064178467, "final_val_loss": 0.6873318552970886, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6601818799972534, "final_val_loss": 0.4598124623298645, "initial_val_acc": 0.44, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 14}, "improvement": 0.48000000000000004, "first_improvement_epoch": 4}}
|
177
|
{"target_pattern": "alternating", "degraded_accuracy": 0.54, "improved_accuracy": 1.0, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7331, "learning_rate": 0.06804554033307295, "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: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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],
[
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],
[
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],
[
0.072541,
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],
[
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],
[
-0.484028,
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-0.065521,
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],
[
-0.087872,
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-0.504651,
-0.259016,
-0.324678
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## Activation Signature
### 0
fourier: [[21.703393, 22.084311, 22.511864, 24.080804, 25.377491, 25.650841, 25.721478, 28.893339, 34.762548, 62.488263], [15.052692, 15.085437, 17.154581, 18.206807, 19.182842, 19.400865, 19.906607, 24.688646, 25.867485, 167.971374], [59.624114, 60.476130, 64.587942, 65.967112, 69.734216, 76.892567, 87.180520, 88.229346, 92.683317, 325.911622], [22.503508, 23.288988, 25.259294, 25.529502, 25.784041, 25.963848, 28.596602, 30.549744, 30.828466, 83.847982], [39.286102, 42.061728, 43.138636, 43.389877, 46.219329, 52.097798, 57.439195, 57.571979, 62.210492, 276.072408], [13.351608, 13.772348, 13.906962, 15.199621, 16.368064, 17.187194, 17.481486, 18.788516, 19.537384, 21.559458], [21.830866, 23.649618, 24.648359, 24.888881, 26.068904, 26.609609, 28.238038, 31.289039, 34.280917, 336.774715]]
### 2
fourier: [[9.372861, 9.709219, 10.573189, 11.051809, 11.514047, 11.872548, 12.255601, 12.594717, 13.507426, 61.328889], [7.460452, 7.618585, 7.766506, 7.860853, 8.438693, 9.633900, 10.324936, 10.446796, 11.119923, 30.209845], [14.858610, 15.653446, 16.454628, 17.550911, 18.976413, 20.738871, 21.240083, 24.288112, 24.714924, 60.909812], [11.138571, 11.336826, 11.453564, 14.089770, 14.316783, 15.244653, 15.375065, 16.868691, 18.604180, 90.400365], [10.282374, 10.967340, 10.993690, 12.023398, 12.064461, 12.412506, 13.113049, 14.532556, 14.858374, 49.861419], [13.300385, 13.464104, 13.728141, 14.022926, 14.157004, 14.519127, 15.098809, 15.261044, 15.494981, 34.865676], [14.929075, 15.818792, 16.373011, 18.447835, 18.666735, 21.584506, 22.465876, 24.509620, 26.169782, 120.089370]]
### 4
fourier: [[26.139328, 27.394705, 27.997226, 31.171328, 33.785164, 35.006665, 35.846596, 36.597774, 44.227991, 202.645575], [19.050280, 19.180019, 19.183687, 22.029071, 22.805695, 23.742852, 25.667255, 26.271327, 30.081844, 125.801100], [22.891607, 22.943989, 24.031924, 24.702847, 25.497272, 27.949478, 29.603725, 32.412890, 34.961475, 162.258172], [17.254451, 17.408124, 18.629759, 18.941340, 18.985352, 20.724367, 23.176260, 25.036227, 25.429561, 58.460896], [12.475130, 12.754614, 13.048587, 13.401586, 14.411218, 14.997643, 15.502096, 16.324474, 17.541318, 17.753886], [10.638004, 10.966260, 11.014342, 11.667434, 11.903563, 11.956214, 13.680058, 14.002040, 14.929457, 18.809801], [23.336504, 24.229674, 25.334715, 26.989791, 30.814982, 30.994928, 31.198893, 31.965398, 40.473308, 178.833672]]
### 6
fourier: [[35.919432, 36.004654, 36.846753, 38.894576, 42.354470, 45.176320, 46.509053, 46.799641, 55.892914, 202.223822], [63.897267, 64.043648, 65.835176, 70.238863, 74.801244, 79.873168, 82.982159, 84.368061, 99.156514, 378.429657], [62.963799, 63.158288, 63.958562, 70.643827, 75.173084, 79.345198, 82.491634, 83.804076, 100.409368, 404.761453], [21.716953, 21.747827, 23.279008, 23.892825, 25.132837, 27.210401, 27.215694, 27.392173, 31.566975, 31.652760], [34.767578, 35.897022, 36.599669, 40.488170, 43.421264, 45.430671, 47.080479, 47.827174, 57.971326, 238.428716], [28.043327, 28.232020, 28.976206, 29.059894, 33.406359, 34.979359, 35.737615, 36.283501, 43.540190, 48.797996], [22.879967, 24.235353, 24.736359, 28.483335, 29.589342, 30.039625, 32.271256, 33.169488, 39.871054, 115.252739]]
### 8
fourier: [[106.807128, 108.701453, 111.520762, 122.851031, 127.933741, 137.264058, 141.587531, 144.715980, 173.454436, 588.355894]]
## 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: 4
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: [[21.703393, 22.084311, 22.511864, 24.080804, 25.377491, 25.650841, 25.721478, 28.893339, 34.762548, 62.488263], [15.052692, 15.085437, 17.154581, 18.206807, 19.182842, 19.400865, 19.906607, 24.688646, 25.867485, 167.971374], [59.624114, 60.476130, 64.587942, 65.967112, 69.734216, 76.892567, 87.180520, 88.229346, 92.683317, 325.911622], [22.503508, 23.288988, 25.259294, 25.529502, 25.784041, 25.963848, 28.596602, 30.549744, 30.828466, 83.847982], [39.286102, 42.061728, 43.138636, 43.389877, 46.219329, 52.097798, 57.439195, 57.571979, 62.210492, 276.072408], [13.351608, 13.772348, 13.906962, 15.199621, 16.368064, 17.187194, 17.481486, 18.788516, 19.537384, 21.559458], [21.830866, 23.649618, 24.648359, 24.888881, 26.068904, 26.609609, 28.238038, 31.289039, 34.280917, 336.774715]]
### 2
fourier: [[9.372861, 9.709219, 10.573189, 11.051809, 11.514047, 11.872548, 12.255601, 12.594717, 13.507426, 61.328889], [7.460452, 7.618585, 7.766506, 7.860853, 8.438693, 9.633900, 10.324936, 10.446796, 11.119923, 30.209845], [14.858610, 15.653446, 16.454628, 17.550911, 18.976413, 20.738871, 21.240083, 24.288112, 24.714924, 60.909812], [11.138571, 11.336826, 11.453564, 14.089770, 14.316783, 15.244653, 15.375065, 16.868691, 18.604180, 90.400365], [10.282374, 10.967340, 10.993690, 12.023398, 12.064461, 12.412506, 13.113049, 14.532556, 14.858374, 49.861419], [13.300385, 13.464104, 13.728141, 14.022926, 14.157004, 14.519127, 15.098809, 15.261044, 15.494981, 34.865676], [14.929075, 15.818792, 16.373011, 18.447835, 18.666735, 21.584506, 22.465876, 24.509620, 26.169782, 120.089370]]
### 4
fourier: [[26.139328, 27.394705, 27.997226, 31.171328, 33.785164, 35.006665, 35.846596, 36.597774, 44.227991, 202.645575], [19.050280, 19.180019, 19.183687, 22.029071, 22.805695, 23.742852, 25.667255, 26.271327, 30.081844, 125.801100], [22.891607, 22.943989, 24.031924, 24.702847, 25.497272, 27.949478, 29.603725, 32.412890, 34.961475, 162.258172], [17.254451, 17.408124, 18.629759, 18.941340, 18.985352, 20.724367, 23.176260, 25.036227, 25.429561, 58.460896], [12.475130, 12.754614, 13.048587, 13.401586, 14.411218, 14.997643, 15.502096, 16.324474, 17.541318, 17.753886], [10.638004, 10.966260, 11.014342, 11.667434, 11.903563, 11.956214, 13.680058, 14.002040, 14.929457, 18.809801], [23.336504, 24.229674, 25.334715, 26.989791, 30.814982, 30.994928, 31.198893, 31.965398, 40.473308, 178.833672]]
### 6
fourier: [[35.919432, 36.004654, 36.846753, 38.894576, 42.354470, 45.176320, 46.509053, 46.799641, 55.892914, 202.223822], [63.897267, 64.043648, 65.835176, 70.238863, 74.801244, 79.873168, 82.982159, 84.368061, 99.156514, 378.429657], [62.963799, 63.158288, 63.958562, 70.643827, 75.173084, 79.345198, 82.491634, 83.804076, 100.409368, 404.761453], [21.716953, 21.747827, 23.279008, 23.892825, 25.132837, 27.210401, 27.215694, 27.392173, 31.566975, 31.652760], [34.767578, 35.897022, 36.599669, 40.488170, 43.421264, 45.430671, 47.080479, 47.827174, 57.971326, 238.428716], [28.043327, 28.232020, 28.976206, 29.059894, 33.406359, 34.979359, 35.737615, 36.283501, 43.540190, 48.797996], [22.879967, 24.235353, 24.736359, 28.483335, 29.589342, 30.039625, 32.271256, 33.169488, 39.871054, 115.252739]]
### 8
fourier: [[106.807128, 108.701453, 111.520762, 122.851031, 127.933741, 137.264058, 141.587531, 144.715980, 173.454436, 588.355894]]
## 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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"relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.554456, -0.211486, -0.283186, 0.182656, 0.442487], [-0.388087, -0.112191, -0.020192, -0.418357, -0.052732], [-0.91507, 0.249829, -1.354871, 0.279193, -1.061595], [0.072541, 0.462024, 0.474804, -0.113951, -0.636979], [-0.588974, 0.183415, -0.897827, 0.253635, -0.716696], [-0.484028, 0.075445, 0.441654, -0.065521, -0.210757], [-0.087872, -0.341727, -0.504651, -0.259016, -0.324678]], "network.0.bias": [0.035166, -0.1746, 0.60303, 0.037615, -0.45327, -0.005545, -0.999844], "network.2.weight": [[-0.086101, 0.043845, 0.107463, 0.469574, 0.021154, 0.201701, 0.119634], [0.356154, -0.322593, 0.206143, -0.370501, -0.627242, 0.261866, 0.048246], [1.062617, 0.343261, -0.367035, -0.699608, 0.215856, 0.358201, -0.264859], [1.026604, -0.187251, -0.173636, 0.454803, -0.291523, 0.487133, -0.160936], [-0.331695, 0.32669, 0.538746, -0.379524, 0.546885, -0.09624, -0.276086], [-0.466251, -0.030994, -0.232326, 0.516865, 0.051556, 0.100854, -0.104823], [0.967075, 0.128316, -0.628451, 0.646876, 0.133198, 0.674435, 0.025908]], "network.2.bias": [0.010512, -0.120683, -0.219135, -0.001026, -0.160352, -0.080698, 0.127748], "network.4.weight": [[0.318725, 0.595962, 0.656202, 0.757056, -0.306118, 0.274636, 0.758198], [-0.12759, 0.02752, 0.580719, 0.488038, -0.138616, 0.368618, 0.614702], [0.322088, 0.332871, 1.15936, 0.367847, -0.453145, 0.269854, 0.597011], [-0.361675, -0.245205, -0.739913, -0.333777, 0.67247, 0.167297, -0.512444], [0.10986, -0.235823, -0.295009, -0.180478, 0.508415, -0.348824, -0.388122], [0.009325, -0.018737, -0.505361, -0.039949, 0.493035, -0.244257, -0.350252], [0.425374, 0.511432, 0.557918, 0.687158, -0.116674, 0.339193, 0.593539]], "network.4.bias": [-0.127641, -0.204369, -0.039713, 0.677373, 0.683352, 0.518447, -0.196833], "network.6.weight": [[0.360904, 0.07173, 0.446616, -0.154577, -0.509351, -0.598711, 0.430655], [0.867245, 0.560603, 0.710738, -0.989803, -0.46682, -0.76202, 0.271286], [0.768445, 0.26413, 0.672157, -0.602427, -0.099024, -0.669707, 0.759258], [-0.349577, -0.082746, -0.255467, 0.526653, 0.61725, 0.422383, 0.05135], [0.574484, -0.053683, 0.319098, -0.042367, -0.236983, -0.09121, 0.545613], [-0.179357, -0.202727, -0.078969, 0.419522, 0.244558, 0.551926, -0.54906], [-0.251887, -0.17022, -0.246216, -0.141631, -0.146114, 0.150052, -0.405589]], "network.6.bias": [-0.045509, 0.103908, -0.080224, 0.526307, -0.168702, 1.115683, 0.857204], "network.8.weight": [[-0.371305, -0.623298, -0.596849, 0.514711, -0.386237, 0.806315, 0.859606]], "network.8.bias": [0.237558]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6790795028209686, "train_acc": 0.595, "val_loss": 0.7424247860908508, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6557000875473022, "train_acc": 0.595, "val_loss": 0.6486800312995911, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5925896763801575, "train_acc": 0.64, "val_loss": 0.4450315237045288, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.44125887751579285, "train_acc": 0.895, "val_loss": 0.3733177185058594, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3546702265739441, "train_acc": 0.875, "val_loss": 0.3344241678714752, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2545262351632118, "train_acc": 0.9, "val_loss": 0.19276034832000732, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.1799483448266983, "train_acc": 0.935, "val_loss": 0.08183127641677856, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.15881960093975067, "train_acc": 0.965, "val_loss": 0.05956702306866646, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.1848185434937477, "train_acc": 0.96, "val_loss": 0.019970426335930824, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.12278006970882416, "train_acc": 0.955, "val_loss": 0.03334449231624603, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.12287607789039612, "train_acc": 0.975, "val_loss": 0.015140533447265625, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.09634659439325333, "train_acc": 0.965, "val_loss": 0.017360737547278404, "val_acc": 1.0}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7424247860908508, "final_val_loss": 0.6486800312995911, "initial_val_acc": 0.36, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.4450315237045288, "final_val_loss": 0.017360737547278404, "initial_val_acc": 0.94, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 8}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
178
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{"target_pattern": "has_majority", "degraded_accuracy": 0.54, "improved_accuracy": 0.74, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3005, "learning_rate": 0.013673192385551392, "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: 5
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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0.120516,
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}
## Activation Signature
### 0
fourier: [[18.888146, 19.027830, 19.567878, 20.534727, 21.084923, 21.871887, 24.925600, 28.029306, 28.135197, 152.155363], [16.501201, 17.665781, 19.039435, 20.730783, 22.178907, 24.193338, 24.733197, 26.384525, 28.775504, 167.432317], [20.861403, 22.380763, 23.097131, 23.316253, 25.925041, 27.181560, 29.301763, 31.504066, 33.025374, 174.912140], [11.785626, 11.995587, 12.276587, 12.502813, 12.574762, 12.705184, 13.428398, 14.737089, 15.725301, 15.846817], [11.251943, 11.491482, 12.409051, 13.068487, 13.137304, 13.399917, 13.924649, 13.973131, 14.178664, 17.276559], [15.193235, 15.368053, 16.354003, 17.067793, 17.624440, 18.051588, 19.989911, 25.984194, 26.761388, 176.558866], [11.230599, 11.567490, 11.789044, 11.882230, 11.948710, 13.359273, 13.660300, 13.767022, 14.701179, 19.155523]]
### 2
fourier: [[13.462502, 13.743675, 14.126324, 14.987861, 15.556383, 16.451615, 16.585292, 18.784115, 20.444690, 96.083162], [6.229269, 6.627263, 6.744614, 7.324144, 9.295047, 9.855546, 9.932036, 10.040231, 10.946041, 90.766323], [7.446128, 7.844381, 8.270831, 8.457359, 8.554669, 10.173083, 10.833596, 11.077321, 12.627099, 94.278047], [11.774918, 11.903942, 12.625564, 12.642195, 12.859977, 14.900058, 15.538469, 18.979822, 20.622605, 132.340112], [10.097653, 10.265006, 10.470829, 10.501081, 11.495034, 12.771350, 13.246524, 13.317561, 14.266925, 67.710668], [4.814312, 5.013633, 5.417124, 5.553134, 5.622904, 5.645722, 6.080341, 6.496511, 8.284381, 90.347625], [9.743106, 10.511029, 10.582246, 11.471259, 11.765454, 13.284190, 13.854517, 14.618816, 14.965388, 66.862687]]
### 4
fourier: [[5.154178, 5.599528, 6.237317, 6.422166, 6.512590, 7.272483, 7.353413, 7.367350, 7.548143, 17.331519], [14.828563, 15.949958, 16.006584, 17.062338, 18.174715, 19.577329, 19.696478, 19.831519, 20.204588, 88.374330], [6.920289, 6.975254, 7.154985, 7.169420, 7.181785, 8.479569, 9.452870, 9.695112, 10.975079, 38.074331], [2.948956, 3.042004, 3.094550, 3.380513, 3.403194, 3.423311, 3.618403, 3.733864, 4.044590, 38.170084], [9.944455, 10.126933, 10.506710, 10.696787, 11.564243, 12.276650, 12.742447, 14.734001, 15.411967, 91.900393], [1.561911, 1.605237, 1.647068, 1.655458, 1.746729, 1.776925, 1.804327, 1.942184, 1.990639, 16.518802], [0.886813, 0.970683, 1.018668, 1.029313, 1.079788, 1.107086, 1.127108, 1.139228, 1.388253, 19.092945]]
### 6
fourier: [[2.426985, 2.475921, 2.818434, 2.952643, 3.025219, 3.288477, 3.332109, 3.950106, 4.386278, 32.512240], [8.167732, 8.583856, 8.909105, 10.274032, 10.569765, 10.823043, 10.871134, 11.288427, 12.730330, 42.266868], [3.227599, 3.312447, 3.359719, 3.527776, 3.683071, 4.140745, 4.540914, 4.788833, 5.105649, 35.737780], [6.307249, 6.670954, 7.313429, 7.519785, 8.365461, 8.504692, 8.687315, 8.826279, 8.865271, 9.617047], [3.048555, 3.176264, 3.221329, 3.648310, 3.651092, 3.857775, 4.109554, 4.173756, 4.586860, 9.577647], [10.078285, 10.752771, 11.174104, 12.499462, 13.215211, 13.251506, 13.282753, 13.847536, 14.940538, 52.004291], [2.731840, 2.775347, 2.869069, 3.206074, 3.232690, 3.242781, 3.280197, 3.762962, 4.068600, 54.802556]]
### 8
fourier: [[9.234656, 9.451206, 10.595961, 11.758080, 11.960156, 12.238923, 12.603448, 12.646869, 14.866551, 38.395818], [3.732407, 4.021327, 4.220029, 4.473688, 4.497801, 4.582562, 4.752016, 5.246200, 5.729281, 48.679299], [0.512770, 0.544563, 0.545716, 0.587026, 0.591212, 0.635465, 0.636703, 0.840390, 0.969960, 26.441816], [2.742880, 2.811577, 3.013550, 3.416957, 3.478398, 3.640105, 3.782179, 3.851984, 4.461891, 8.650722], [5.147994, 5.148559, 5.714689, 6.184962, 6.245782, 6.598699, 6.623091, 6.991890, 8.092616, 14.986980], [6.798072, 6.813725, 7.388983, 8.286439, 8.788007, 8.939282, 9.220355, 9.326484, 11.064855, 36.209224], [0.841717, 0.852455, 0.874923, 0.882871, 0.917631, 0.955618, 1.130878, 1.150682, 1.201813, 18.168608]]
### 10
fourier: [[7.027353, 7.172940, 7.765615, 7.861884, 8.457557, 8.480073, 8.702210, 9.524862, 9.999370, 11.050425]]
## 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: 5
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: [[18.888146, 19.027830, 19.567878, 20.534727, 21.084923, 21.871887, 24.925600, 28.029306, 28.135197, 152.155363], [16.501201, 17.665781, 19.039435, 20.730783, 22.178907, 24.193338, 24.733197, 26.384525, 28.775504, 167.432317], [20.861403, 22.380763, 23.097131, 23.316253, 25.925041, 27.181560, 29.301763, 31.504066, 33.025374, 174.912140], [11.785626, 11.995587, 12.276587, 12.502813, 12.574762, 12.705184, 13.428398, 14.737089, 15.725301, 15.846817], [11.251943, 11.491482, 12.409051, 13.068487, 13.137304, 13.399917, 13.924649, 13.973131, 14.178664, 17.276559], [15.193235, 15.368053, 16.354003, 17.067793, 17.624440, 18.051588, 19.989911, 25.984194, 26.761388, 176.558866], [11.230599, 11.567490, 11.789044, 11.882230, 11.948710, 13.359273, 13.660300, 13.767022, 14.701179, 19.155523]]
### 2
fourier: [[13.462502, 13.743675, 14.126324, 14.987861, 15.556383, 16.451615, 16.585292, 18.784115, 20.444690, 96.083162], [6.229269, 6.627263, 6.744614, 7.324144, 9.295047, 9.855546, 9.932036, 10.040231, 10.946041, 90.766323], [7.446128, 7.844381, 8.270831, 8.457359, 8.554669, 10.173083, 10.833596, 11.077321, 12.627099, 94.278047], [11.774918, 11.903942, 12.625564, 12.642195, 12.859977, 14.900058, 15.538469, 18.979822, 20.622605, 132.340112], [10.097653, 10.265006, 10.470829, 10.501081, 11.495034, 12.771350, 13.246524, 13.317561, 14.266925, 67.710668], [4.814312, 5.013633, 5.417124, 5.553134, 5.622904, 5.645722, 6.080341, 6.496511, 8.284381, 90.347625], [9.743106, 10.511029, 10.582246, 11.471259, 11.765454, 13.284190, 13.854517, 14.618816, 14.965388, 66.862687]]
### 4
fourier: [[5.154178, 5.599528, 6.237317, 6.422166, 6.512590, 7.272483, 7.353413, 7.367350, 7.548143, 17.331519], [14.828563, 15.949958, 16.006584, 17.062338, 18.174715, 19.577329, 19.696478, 19.831519, 20.204588, 88.374330], [6.920289, 6.975254, 7.154985, 7.169420, 7.181785, 8.479569, 9.452870, 9.695112, 10.975079, 38.074331], [2.948956, 3.042004, 3.094550, 3.380513, 3.403194, 3.423311, 3.618403, 3.733864, 4.044590, 38.170084], [9.944455, 10.126933, 10.506710, 10.696787, 11.564243, 12.276650, 12.742447, 14.734001, 15.411967, 91.900393], [1.561911, 1.605237, 1.647068, 1.655458, 1.746729, 1.776925, 1.804327, 1.942184, 1.990639, 16.518802], [0.886813, 0.970683, 1.018668, 1.029313, 1.079788, 1.107086, 1.127108, 1.139228, 1.388253, 19.092945]]
### 6
fourier: [[2.426985, 2.475921, 2.818434, 2.952643, 3.025219, 3.288477, 3.332109, 3.950106, 4.386278, 32.512240], [8.167732, 8.583856, 8.909105, 10.274032, 10.569765, 10.823043, 10.871134, 11.288427, 12.730330, 42.266868], [3.227599, 3.312447, 3.359719, 3.527776, 3.683071, 4.140745, 4.540914, 4.788833, 5.105649, 35.737780], [6.307249, 6.670954, 7.313429, 7.519785, 8.365461, 8.504692, 8.687315, 8.826279, 8.865271, 9.617047], [3.048555, 3.176264, 3.221329, 3.648310, 3.651092, 3.857775, 4.109554, 4.173756, 4.586860, 9.577647], [10.078285, 10.752771, 11.174104, 12.499462, 13.215211, 13.251506, 13.282753, 13.847536, 14.940538, 52.004291], [2.731840, 2.775347, 2.869069, 3.206074, 3.232690, 3.242781, 3.280197, 3.762962, 4.068600, 54.802556]]
### 8
fourier: [[9.234656, 9.451206, 10.595961, 11.758080, 11.960156, 12.238923, 12.603448, 12.646869, 14.866551, 38.395818], [3.732407, 4.021327, 4.220029, 4.473688, 4.497801, 4.582562, 4.752016, 5.246200, 5.729281, 48.679299], [0.512770, 0.544563, 0.545716, 0.587026, 0.591212, 0.635465, 0.636703, 0.840390, 0.969960, 26.441816], [2.742880, 2.811577, 3.013550, 3.416957, 3.478398, 3.640105, 3.782179, 3.851984, 4.461891, 8.650722], [5.147994, 5.148559, 5.714689, 6.184962, 6.245782, 6.598699, 6.623091, 6.991890, 8.092616, 14.986980], [6.798072, 6.813725, 7.388983, 8.286439, 8.788007, 8.939282, 9.220355, 9.326484, 11.064855, 36.209224], [0.841717, 0.852455, 0.874923, 0.882871, 0.917631, 0.955618, 1.130878, 1.150682, 1.201813, 18.168608]]
### 10
fourier: [[7.027353, 7.172940, 7.765615, 7.861884, 8.457557, 8.480073, 8.702210, 9.524862, 9.999370, 11.050425]]
## 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": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.406576, 0.524746, -0.165028, 0.118643, 0.056839], [-0.074882, 0.428427, 0.222579, 0.427119, 0.055979], [-0.087023, 0.321209, 0.20688, 0.630021, 0.223849], [-0.197664, 0.332797, -0.262661, 0.057211, 0.296648], [-0.066062, -0.287776, 0.108663, 0.286971, -0.36396], [-0.261513, -0.361158, 0.116595, -0.289784, -0.213093], [0.162623, -0.216739, -0.214022, 0.392566, -0.205292]], "network.0.bias": [0.24865, -0.27706, -0.592825, -0.125602, 0.272496, -0.33753, -0.100783], "network.2.weight": [[0.257161, 0.439545, 0.016101, 0.383956, 0.038285, -0.143324, -0.479053], [-0.288897, -0.193078, 0.134923, -0.413007, -0.422959, -0.073945, 0.180112], [-0.044933, -0.04501, -0.30044, -0.067469, -0.009066, 0.292493, -0.090217], [0.352167, -0.152942, 0.495124, 0.013834, -0.12488, 0.191803, -0.055577], [-7.8e-05, 0.353189, 0.213984, -0.194359, -0.353484, -0.106359, -0.462852], [0.322257, 0.191284, -0.367433, 0.278402, 0.298721, 0.022348, 0.217652], [0.03085, 0.095932, 0.450559, -0.207292, -0.186389, -0.052698, -0.287421]], "network.2.bias": [-0.274474, -0.13359, -0.220766, 0.212689, 0.006377, 0.535374, -0.158802], "network.4.weight": [[0.144521, -0.148457, 0.093467, 0.205778, 0.104453, -0.478856, 0.072353], [0.44821, 0.219602, -0.132791, 0.24214, 0.519329, -0.54349, 0.220859], [0.094164, 0.123138, -0.27437, -0.231223, 0.459729, -0.288153, 0.418636], [0.041197, -0.256761, -0.084316, 0.239713, -0.090191, 0.358635, -0.33528], [-0.291021, 0.367113, 0.099376, -0.371527, 0.118182, 0.092993, -0.320542], [-0.280132, 0.186903, -0.267677, -0.11528, 0.330076, 0.212158, 0.017763], [0.036655, 0.190152, 0.138215, -0.001891, 0.249633, 0.009987, -0.316873]], "network.4.bias": [0.076469, 0.11066, 0.270648, -0.003906, -0.092111, 0.178329, -0.205524], "network.6.weight": [[0.087728, -0.054226, -0.286771, 0.372503, -0.213068, -0.152371, -0.26182], [0.149226, 0.462147, 0.230916, -0.115176, 0.226565, 0.181291, -0.078483], [-0.225091, -0.022132, -0.241397, 0.162842, -0.293373, 0.320207, 0.018553], [-0.20601, -0.206224, -0.407407, -0.171636, 0.193151, 0.28688, -0.025296], [-0.113867, 0.181372, 0.124863, -0.10576, 0.354687, -0.180295, 0.255263], [0.234518, 0.579206, 0.108903, -0.153224, -0.226938, -0.413154, -0.234572], [-0.308874, -0.256734, 0.338278, -0.102118, 0.13126, -0.192492, -0.180117]], "network.6.bias": [0.393881, -0.135851, 0.456355, 0.370212, -0.239656, 0.015824, -0.335118], "network.8.weight": [[-0.362167, 0.370595, -0.272193, -0.253984, 0.251212, 0.469978, 0.219591], [0.044134, -0.376296, -0.139147, -0.288733, 0.292805, -0.200085, -0.099428], [-0.266855, -0.138907, 0.172207, -0.252263, -0.076391, 0.061183, -0.170066], [-0.098383, 0.268185, -0.07537, -0.042822, 0.256917, -0.010222, -0.318252], [-0.330127, -0.108192, -0.34369, -0.078162, -0.023618, 0.462282, -0.253087], [-0.562184, 0.536574, 0.105775, -0.181351, 0.334359, 0.120516, 0.175841], [0.0865, 0.101163, -0.262078, -0.233706, 0.176385, -0.27075, 0.10236]], "network.8.bias": [0.214939, -0.156751, -0.192201, -0.167238, 0.212194, 0.225141, 0.018441], "network.10.weight": [[-0.443121, -0.127473, 0.199223, -0.306767, -0.348747, -0.198257, -0.210556]], "network.10.bias": [0.411441]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6951550245285034, "train_acc": 0.455, "val_loss": 0.6849552989006042, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6853551268577576, "train_acc": 0.57, "val_loss": 0.6747843027114868, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6726394593715668, "train_acc": 0.57, "val_loss": 0.6653550863265991, "val_acc": 0.54}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6611308455467224, "train_acc": 0.57, "val_loss": 0.6558073163032532, "val_acc": 0.54}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6608290374279022, "train_acc": 0.57, "val_loss": 0.6443374156951904, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6828384101390839, "train_acc": 0.49, "val_loss": 0.6546536087989807, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6720380485057831, "train_acc": 0.545, "val_loss": 0.6553233861923218, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6613843142986298, "train_acc": 0.655, "val_loss": 0.6306928396224976, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.6509811580181122, "train_acc": 0.645, "val_loss": 0.6051626801490784, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.6422432065010071, "train_acc": 0.64, "val_loss": 0.5852031111717224, "val_acc": 0.72}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.6152439117431641, "train_acc": 0.64, "val_loss": 0.5669071078300476, "val_acc": 0.72}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.5983379185199738, "train_acc": 0.66, "val_loss": 0.5504559874534607, "val_acc": 0.72}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.6020005941390991, "train_acc": 0.665, "val_loss": 0.5381625294685364, "val_acc": 0.74}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.5714620053768158, "train_acc": 0.695, "val_loss": 0.528878927230835, "val_acc": 0.72}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.5539964735507965, "train_acc": 0.7, "val_loss": 0.5089634656906128, "val_acc": 0.74}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.6849552989006042, "final_val_loss": 0.6443374156951904, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6546536087989807, "final_val_loss": 0.5089634656906128, "initial_val_acc": 0.58, "final_val_acc": 0.74, "best_val_acc": 0.74, "best_epoch": 12}, "improvement": 0.19999999999999996, "first_improvement_epoch": 4}}
|
179
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.44, "improved_accuracy": 0.82, "improvement": 0.37999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4806, "learning_rate": 0.09379899913235491, "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: 5
Neurons per Layer: 5
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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],
[
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],
[
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],
[
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],
"network.2.bias": [
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],
"network.4.weight": [
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0.276017
],
[
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0.213267,
0.653195
],
[
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0.199762,
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],
[
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0.72726,
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]
],
"network.4.bias": [
0.286198,
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0.099985,
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],
"network.6.weight": [
[
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],
[
0.386487,
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0.078537
],
[
-0.173344,
0.586219,
0.52422,
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],
[
0.67041,
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0.631057,
0.037083
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[
0.164582,
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0.435722,
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]
],
"network.6.bias": [
0.233456,
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0.080682,
0.30814,
0.235778
],
"network.8.weight": [
[
0.722229,
0.049439,
0.644072,
-0.515312,
-0.711692
],
[
0.254881,
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0.555465,
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-0.715823
],
[
-0.178705,
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-0.205479,
0.553852,
0.530851
],
[
-0.106715,
-0.709707,
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0.003908
],
[
0.152551,
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],
"network.8.bias": [
0.022479,
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0.368858,
0.046777,
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"network.10.weight": [
[
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0.458922,
0.082565,
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]
],
"network.10.bias": [
-0.255506
]
}
## Activation Signature
### 0
fourier: [[16.226390, 16.585779, 16.827626, 17.126486, 20.076843, 20.856350, 20.909101, 26.459614, 32.131281, 156.340729], [22.030833, 22.651356, 23.017042, 23.083987, 23.734639, 23.747026, 28.331525, 30.804432, 35.467053, 39.571980], [32.607228, 32.937832, 34.870735, 34.978732, 36.150731, 42.320171, 42.670012, 42.846318, 48.870308, 256.769394], [24.739854, 25.570735, 26.718349, 30.395176, 30.797266, 30.939888, 32.949302, 38.587489, 38.699665, 204.548024], [23.054730, 24.762837, 25.562262, 25.779228, 27.030497, 27.836836, 28.176295, 29.101435, 29.576309, 39.631729]]
### 2
fourier: [[23.354646, 23.847071, 24.814013, 25.542238, 25.785050, 29.259992, 30.602621, 32.973661, 33.761493, 103.582611], [27.749896, 28.241144, 29.002820, 29.117593, 29.404126, 33.496010, 36.331406, 37.162503, 38.721446, 141.824086], [8.752326, 8.752711, 9.303665, 9.322531, 9.336987, 9.725721, 9.912832, 11.475769, 11.563333, 14.891094], [15.171948, 15.716547, 18.047500, 19.218688, 19.288312, 19.555052, 19.621934, 21.722001, 30.491179, 64.700602], [18.651360, 18.705807, 19.266032, 21.694565, 23.498456, 24.823174, 27.593707, 29.089460, 32.328069, 227.748908]]
### 4
fourier: [[20.391354, 20.701479, 22.062433, 22.844897, 23.237943, 24.158783, 24.925229, 25.592373, 27.089544, 75.743826], [39.252541, 39.549453, 41.858597, 43.847786, 45.494543, 46.336990, 49.748958, 52.569637, 61.916494, 156.632853], [25.784843, 25.949341, 26.117198, 26.578969, 26.700519, 26.834523, 30.965767, 32.014160, 32.312550, 105.664360], [38.404899, 38.889664, 40.770227, 43.185905, 43.320631, 45.450140, 46.250935, 48.038305, 50.393057, 179.085840], [7.433951, 7.508924, 7.911579, 8.031222, 8.195493, 8.918911, 9.406685, 9.863228, 9.907964, 48.406840]]
### 6
fourier: [[37.095690, 37.935704, 37.937623, 39.676615, 39.754645, 39.754654, 43.472724, 44.069965, 48.584557, 194.528250], [3.512996, 3.552768, 3.660807, 3.667668, 3.778339, 4.063073, 4.164578, 4.185736, 4.492635, 31.097186], [35.319674, 35.907153, 35.929667, 37.578414, 38.059147, 38.926916, 41.334231, 41.711583, 45.671014, 169.546617], [17.812988, 18.924685, 20.364751, 20.423469, 21.299641, 21.342437, 22.711049, 23.421973, 24.480080, 42.705942], [15.014090, 15.417888, 16.273843, 16.581866, 16.812608, 17.156390, 18.047441, 19.340089, 20.554605, 46.690990]]
### 8
fourier: [[50.896738, 51.362241, 54.326007, 54.581217, 55.796466, 56.368483, 60.716244, 63.143599, 67.840972, 236.160035], [30.323528, 30.775483, 32.952210, 34.057133, 34.337749, 35.389620, 36.639523, 40.070086, 42.075587, 124.914819], [15.094700, 16.227550, 16.248908, 17.250973, 18.268236, 18.321704, 18.790943, 21.439901, 21.926034, 22.081878], [10.935393, 11.255845, 11.309084, 11.815286, 11.912633, 11.947783, 12.337026, 13.028616, 13.687136, 47.568936], [3.345190, 3.700041, 3.804997, 3.845080, 4.037443, 4.301198, 4.377472, 4.387034, 5.886510, 71.298948]]
### 10
fourier: [[38.296180, 39.677538, 39.956777, 40.632518, 42.005062, 42.038764, 46.163865, 47.222978, 50.581949, 199.892629]]
## 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: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.013908,
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],
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],
[
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],
[
-0.523731,
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],
[
-0.588717,
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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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0.012387,
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],
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]
],
"network.2.bias": [
-0.123022,
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0.239072,
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],
"network.4.weight": [
[
-0.40701,
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],
[
0.634867,
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],
[
0.595033,
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0.653195
],
[
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],
[
-0.242113,
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]
],
"network.4.bias": [
0.286198,
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0.099985,
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],
"network.6.weight": [
[
-0.360234,
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],
[
0.386487,
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0.078537
],
[
-0.173344,
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0.52422,
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-0.025165
],
[
0.67041,
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[
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]
],
"network.6.bias": [
0.233456,
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0.235778
],
"network.8.weight": [
[
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],
[
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],
[
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[
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]
],
"network.8.bias": [
0.022479,
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],
"network.10.weight": [
[
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0.082565,
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]
],
"network.10.bias": [
-0.255506
]
}
## Activation Signature
### 0
fourier: [[16.226390, 16.585779, 16.827626, 17.126486, 20.076843, 20.856350, 20.909101, 26.459614, 32.131281, 156.340729], [22.030833, 22.651356, 23.017042, 23.083987, 23.734639, 23.747026, 28.331525, 30.804432, 35.467053, 39.571980], [32.607228, 32.937832, 34.870735, 34.978732, 36.150731, 42.320171, 42.670012, 42.846318, 48.870308, 256.769394], [24.739854, 25.570735, 26.718349, 30.395176, 30.797266, 30.939888, 32.949302, 38.587489, 38.699665, 204.548024], [23.054730, 24.762837, 25.562262, 25.779228, 27.030497, 27.836836, 28.176295, 29.101435, 29.576309, 39.631729]]
### 2
fourier: [[23.354646, 23.847071, 24.814013, 25.542238, 25.785050, 29.259992, 30.602621, 32.973661, 33.761493, 103.582611], [27.749896, 28.241144, 29.002820, 29.117593, 29.404126, 33.496010, 36.331406, 37.162503, 38.721446, 141.824086], [8.752326, 8.752711, 9.303665, 9.322531, 9.336987, 9.725721, 9.912832, 11.475769, 11.563333, 14.891094], [15.171948, 15.716547, 18.047500, 19.218688, 19.288312, 19.555052, 19.621934, 21.722001, 30.491179, 64.700602], [18.651360, 18.705807, 19.266032, 21.694565, 23.498456, 24.823174, 27.593707, 29.089460, 32.328069, 227.748908]]
### 4
fourier: [[20.391354, 20.701479, 22.062433, 22.844897, 23.237943, 24.158783, 24.925229, 25.592373, 27.089544, 75.743826], [39.252541, 39.549453, 41.858597, 43.847786, 45.494543, 46.336990, 49.748958, 52.569637, 61.916494, 156.632853], [25.784843, 25.949341, 26.117198, 26.578969, 26.700519, 26.834523, 30.965767, 32.014160, 32.312550, 105.664360], [38.404899, 38.889664, 40.770227, 43.185905, 43.320631, 45.450140, 46.250935, 48.038305, 50.393057, 179.085840], [7.433951, 7.508924, 7.911579, 8.031222, 8.195493, 8.918911, 9.406685, 9.863228, 9.907964, 48.406840]]
### 6
fourier: [[37.095690, 37.935704, 37.937623, 39.676615, 39.754645, 39.754654, 43.472724, 44.069965, 48.584557, 194.528250], [3.512996, 3.552768, 3.660807, 3.667668, 3.778339, 4.063073, 4.164578, 4.185736, 4.492635, 31.097186], [35.319674, 35.907153, 35.929667, 37.578414, 38.059147, 38.926916, 41.334231, 41.711583, 45.671014, 169.546617], [17.812988, 18.924685, 20.364751, 20.423469, 21.299641, 21.342437, 22.711049, 23.421973, 24.480080, 42.705942], [15.014090, 15.417888, 16.273843, 16.581866, 16.812608, 17.156390, 18.047441, 19.340089, 20.554605, 46.690990]]
### 8
fourier: [[50.896738, 51.362241, 54.326007, 54.581217, 55.796466, 56.368483, 60.716244, 63.143599, 67.840972, 236.160035], [30.323528, 30.775483, 32.952210, 34.057133, 34.337749, 35.389620, 36.639523, 40.070086, 42.075587, 124.914819], [15.094700, 16.227550, 16.248908, 17.250973, 18.268236, 18.321704, 18.790943, 21.439901, 21.926034, 22.081878], [10.935393, 11.255845, 11.309084, 11.815286, 11.912633, 11.947783, 12.337026, 13.028616, 13.687136, 47.568936], [3.345190, 3.700041, 3.804997, 3.845080, 4.037443, 4.301198, 4.377472, 4.387034, 5.886510, 71.298948]]
### 10
fourier: [[38.296180, 39.677538, 39.956777, 40.632518, 42.005062, 42.038764, 46.163865, 47.222978, 50.581949, 199.892629]]
## 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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63.143598824494184, 67.84097219711944, 236.16003464721143]}, "1": {"fourier": [30.32352782602856, 30.775483372602363, 32.952209690499004, 34.05713311646997, 34.33774890530853, 35.3896199481965, 36.639522876541896, 40.07008624128336, 42.07558742864577, 124.91481875628233]}, "2": {"fourier": [15.09469982348452, 16.22755007089113, 16.248907619918462, 17.250972850132488, 18.268236341878975, 18.32170357384628, 18.790942604258593, 21.439901050599232, 21.92603356557727, 22.081878051161766]}, "3": {"fourier": [10.935392800481134, 11.255845257973661, 11.309084129967017, 11.81528557852281, 11.912633278433306, 11.947783311217917, 12.337026181788552, 13.02861626630822, 13.687136465777247, 47.568935515359044]}, "4": {"fourier": [3.3451904482940162, 3.7000408600112102, 3.804997462669476, 3.8450802174595577, 4.037443106998857, 4.301198229645601, 4.3774724491704635, 4.387034059812298, 5.886510071958511, 71.29894825816154]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [38.2961804226171, 39.67753762028292, 39.95677675400093, 40.63251805459404, 42.0050615826443, 42.038763749499026, 46.16386450298186, 47.22297789736478, 50.58194899699198, 199.89262908697128]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.013908, -0.082453, -0.05609, -0.070511, -0.697465], [-0.674114, 0.151158, -0.270233, 0.147672, 0.493438], [0.948371, 0.461972, -0.081937, 0.466774, -0.319354], [-0.523731, -0.09293, -0.619786, 0.173007, 0.033545], [-0.588717, -0.080603, -0.349843, 0.368212, 0.464404]], "network.0.bias": [-0.440985, 0.642382, 0.395038, -0.569374, 0.374152], "network.2.weight": [[-0.161718, -0.473438, 0.608495, 0.110594, -0.086648], [-0.67099, -0.313643, 0.721392, -0.201326, -0.302276], [0.047807, 0.351602, -0.157757, 0.072179, 0.052566], [0.012387, 0.607539, -0.046755, -0.008329, 0.585836], [0.516696, 0.091036, -0.611344, -0.616187, -0.517146]], "network.2.bias": [-0.123022, -0.064823, 0.239072, -0.049324, -0.511543], "network.4.weight": [[-0.40701, -0.394354, 0.500482, -0.070832, -0.075792], [0.634867, 0.717951, -0.658081, -0.616772, 0.276017], [0.595033, 0.442311, -0.27776, 0.213267, 0.653195], [-0.864241, -0.684216, -0.085396, 0.199762, -0.504762], [-0.242113, -0.036816, 0.72726, -0.259887, -0.467818]], "network.4.bias": [0.286198, 0.329056, -0.387702, 0.099985, -0.15175], "network.6.weight": [[-0.360234, 0.686716, 0.437142, -0.280841, -0.335758], [0.386487, 0.017896, -0.154603, -0.234882, 0.078537], [-0.173344, 0.586219, 0.52422, -0.476747, -0.025165], [0.67041, -0.077224, -0.591652, 0.631057, 0.037083], [0.164582, -0.33012, -0.111212, 0.435722, -0.157434]], "network.6.bias": [0.233456, -0.200006, 0.080682, 0.30814, 0.235778], "network.8.weight": [[0.722229, 0.049439, 0.644072, -0.515312, -0.711692], [0.254881, -0.002452, 0.555465, -0.630988, -0.715823], [-0.178705, -0.074025, -0.205479, 0.553852, 0.530851], [-0.106715, -0.709707, -0.21458, -0.083747, 0.003908], [0.152551, -0.331637, -0.036331, 0.465404, 0.354958]], "network.8.bias": [0.022479, -0.030122, 0.368858, 0.046777, 0.382248], "network.10.weight": [[-0.551845, -0.314219, 0.458922, 0.082565, -0.103168]], "network.10.bias": [-0.255506]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6839249134063721, "train_acc": 0.575, "val_loss": 0.7072936296463013, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6710412800312042, "train_acc": 0.58, "val_loss": 0.6352964639663696, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5970025658607483, "train_acc": 0.585, "val_loss": 0.5252112746238708, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5338563024997711, "train_acc": 0.715, "val_loss": 0.5271105766296387, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.46283239126205444, "train_acc": 0.765, "val_loss": 0.5071185827255249, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4476724714040756, "train_acc": 0.76, "val_loss": 0.5266048908233643, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.443745493888855, "train_acc": 0.78, "val_loss": 0.5506179332733154, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.41074641048908234, "train_acc": 0.785, "val_loss": 0.5048587322235107, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.4027010202407837, "train_acc": 0.79, "val_loss": 0.526028037071228, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.41509003937244415, "train_acc": 0.795, "val_loss": 0.5965278148651123, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3957209289073944, "train_acc": 0.79, "val_loss": 0.5429943203926086, "val_acc": 0.76}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7072936296463013, "final_val_loss": 0.6352964639663696, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5252112746238708, "final_val_loss": 0.5429943203926086, "initial_val_acc": 0.82, "final_val_acc": 0.76, "best_val_acc": 0.82, "best_epoch": 2}, "improvement": 0.37999999999999995, "first_improvement_epoch": 1}}
|
180
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.58, "improved_accuracy": 0.92, "improvement": 0.3400000000000001, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3558, "learning_rate": 0.05473430003596353, "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: 5
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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[
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[
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[
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[
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"network.2.weight": [
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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.6.weight": [
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"network.8.weight": [
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[
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"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[18.873057, 19.393898, 19.443757, 20.243158, 20.391055, 21.335651, 23.221685, 27.669603, 29.091494, 84.307620], [25.877145, 30.521121, 32.747331, 33.712425, 35.789554, 36.891237, 40.169171, 42.026841, 42.830094, 229.025913], [26.279966, 26.641676, 29.508591, 30.155053, 31.531041, 32.309653, 32.953040, 34.320017, 36.722228, 254.738328], [14.035267, 15.663555, 16.338720, 16.481989, 16.532287, 17.127725, 17.349424, 17.955624, 17.957566, 20.836429], [13.329274, 13.691729, 13.719718, 14.252241, 14.838063, 15.696961, 17.146538, 20.320994, 20.542267, 118.034679], [22.360653, 23.964327, 24.371246, 24.740855, 24.809583, 25.732030, 27.717804, 29.513161, 32.299889, 175.268111], [21.230903, 21.310519, 21.973275, 23.255459, 23.282889, 23.620378, 23.751050, 24.441407, 28.760729, 193.686328]]
### 2
fourier: [[9.418643, 10.676265, 10.756382, 11.033721, 11.217623, 11.417868, 11.746469, 11.893317, 16.323936, 52.858925], [4.745838, 4.856252, 4.959080, 5.181643, 5.197512, 5.453973, 5.874327, 5.890703, 6.503166, 6.726106], [1.675546, 1.795856, 1.918751, 2.066047, 2.224352, 2.224922, 2.317258, 2.429753, 3.032194, 53.004829], [6.483903, 6.548449, 6.644449, 6.741879, 6.794630, 6.998153, 7.530706, 7.718173, 8.807501, 29.540242], [13.714893, 14.200043, 15.842640, 16.605569, 16.756977, 17.260600, 17.260774, 18.351609, 18.705443, 81.292946], [12.803165, 12.898640, 15.735856, 16.084169, 16.124972, 16.462358, 16.739429, 17.171225, 17.862633, 140.858060], [34.624736, 34.912624, 36.024144, 38.446928, 39.612281, 39.868678, 40.637727, 41.283213, 43.359382, 269.643954]]
### 4
fourier: [[26.568351, 27.907109, 28.782840, 29.626008, 29.790179, 30.468670, 31.086897, 31.854913, 32.726545, 162.892406], [15.388533, 15.931796, 16.002912, 17.221800, 17.777107, 17.780890, 17.865875, 18.480755, 19.509121, 90.653422], [3.741189, 3.850964, 4.043418, 4.066401, 4.216499, 4.245893, 4.479997, 4.488173, 5.047247, 27.667288], [11.323051, 11.696971, 12.853323, 13.624674, 13.858894, 14.142010, 14.293917, 14.507948, 15.736701, 131.738845], [5.280854, 5.325361, 5.649434, 5.764981, 5.767555, 5.985231, 6.521504, 6.653035, 6.997092, 29.913589], [24.567302, 25.019730, 25.807309, 26.085437, 26.652004, 27.114816, 27.646023, 27.702333, 30.195358, 154.617105], [1.854855, 1.855024, 1.862244, 1.873406, 1.892306, 1.932702, 1.933918, 2.042331, 2.226317, 21.825767]]
### 6
fourier: [[35.384989, 35.504989, 36.425750, 37.935856, 38.117215, 38.148446, 38.325366, 38.325648, 41.330657, 132.821316], [17.427847, 17.471125, 17.770503, 18.495175, 18.499234, 18.595883, 18.705483, 18.707636, 20.438506, 43.643926], [36.555100, 36.608018, 38.376786, 38.762484, 38.811913, 39.255023, 39.863517, 40.334484, 42.325428, 183.269316], [5.782542, 5.829640, 5.975957, 6.035478, 6.098043, 6.160096, 6.205854, 6.216456, 6.991367, 34.903326], [1.723440, 1.811520, 1.814239, 1.859335, 1.866752, 1.978229, 2.028537, 2.032465, 2.060761, 8.325260], [37.757327, 37.816239, 39.646287, 40.433189, 40.850577, 40.987147, 41.237088, 41.833081, 43.795839, 199.519441], [4.921630, 5.010521, 5.083950, 5.137994, 5.301117, 5.411092, 5.482146, 5.501098, 6.143499, 10.916489]]
### 8
fourier: [[13.131545, 13.209766, 13.380004, 13.412677, 13.664739, 13.666755, 14.385088, 14.573962, 15.566678, 27.814222], [42.180992, 44.667968, 45.253828, 45.939206, 47.225344, 47.773484, 48.642994, 48.696897, 51.296085, 197.754672], [54.337947, 57.884102, 58.954922, 59.159853, 60.976269, 61.518694, 62.573975, 63.724595, 64.886842, 264.424102], [7.720082, 7.776557, 8.295758, 8.338427, 8.514266, 8.654612, 8.676522, 8.721711, 8.997275, 9.229719], [62.209203, 65.228808, 66.085019, 67.166008, 68.889695, 69.552432, 71.078203, 71.537476, 75.417084, 294.220162], [13.501986, 14.335252, 14.461728, 14.547722, 14.948746, 15.041456, 15.283245, 15.764868, 15.944563, 19.180208], [5.002224, 5.041438, 5.055484, 5.332714, 5.371294, 5.396212, 5.459659, 5.494451, 5.830943, 12.526063]]
### 10
fourier: [[71.898467, 74.195902, 74.418506, 74.475461, 77.102717, 77.595395, 79.174974, 80.992900, 85.672946, 298.116368]]
## 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: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[18.873057, 19.393898, 19.443757, 20.243158, 20.391055, 21.335651, 23.221685, 27.669603, 29.091494, 84.307620], [25.877145, 30.521121, 32.747331, 33.712425, 35.789554, 36.891237, 40.169171, 42.026841, 42.830094, 229.025913], [26.279966, 26.641676, 29.508591, 30.155053, 31.531041, 32.309653, 32.953040, 34.320017, 36.722228, 254.738328], [14.035267, 15.663555, 16.338720, 16.481989, 16.532287, 17.127725, 17.349424, 17.955624, 17.957566, 20.836429], [13.329274, 13.691729, 13.719718, 14.252241, 14.838063, 15.696961, 17.146538, 20.320994, 20.542267, 118.034679], [22.360653, 23.964327, 24.371246, 24.740855, 24.809583, 25.732030, 27.717804, 29.513161, 32.299889, 175.268111], [21.230903, 21.310519, 21.973275, 23.255459, 23.282889, 23.620378, 23.751050, 24.441407, 28.760729, 193.686328]]
### 2
fourier: [[9.418643, 10.676265, 10.756382, 11.033721, 11.217623, 11.417868, 11.746469, 11.893317, 16.323936, 52.858925], [4.745838, 4.856252, 4.959080, 5.181643, 5.197512, 5.453973, 5.874327, 5.890703, 6.503166, 6.726106], [1.675546, 1.795856, 1.918751, 2.066047, 2.224352, 2.224922, 2.317258, 2.429753, 3.032194, 53.004829], [6.483903, 6.548449, 6.644449, 6.741879, 6.794630, 6.998153, 7.530706, 7.718173, 8.807501, 29.540242], [13.714893, 14.200043, 15.842640, 16.605569, 16.756977, 17.260600, 17.260774, 18.351609, 18.705443, 81.292946], [12.803165, 12.898640, 15.735856, 16.084169, 16.124972, 16.462358, 16.739429, 17.171225, 17.862633, 140.858060], [34.624736, 34.912624, 36.024144, 38.446928, 39.612281, 39.868678, 40.637727, 41.283213, 43.359382, 269.643954]]
### 4
fourier: [[26.568351, 27.907109, 28.782840, 29.626008, 29.790179, 30.468670, 31.086897, 31.854913, 32.726545, 162.892406], [15.388533, 15.931796, 16.002912, 17.221800, 17.777107, 17.780890, 17.865875, 18.480755, 19.509121, 90.653422], [3.741189, 3.850964, 4.043418, 4.066401, 4.216499, 4.245893, 4.479997, 4.488173, 5.047247, 27.667288], [11.323051, 11.696971, 12.853323, 13.624674, 13.858894, 14.142010, 14.293917, 14.507948, 15.736701, 131.738845], [5.280854, 5.325361, 5.649434, 5.764981, 5.767555, 5.985231, 6.521504, 6.653035, 6.997092, 29.913589], [24.567302, 25.019730, 25.807309, 26.085437, 26.652004, 27.114816, 27.646023, 27.702333, 30.195358, 154.617105], [1.854855, 1.855024, 1.862244, 1.873406, 1.892306, 1.932702, 1.933918, 2.042331, 2.226317, 21.825767]]
### 6
fourier: [[35.384989, 35.504989, 36.425750, 37.935856, 38.117215, 38.148446, 38.325366, 38.325648, 41.330657, 132.821316], [17.427847, 17.471125, 17.770503, 18.495175, 18.499234, 18.595883, 18.705483, 18.707636, 20.438506, 43.643926], [36.555100, 36.608018, 38.376786, 38.762484, 38.811913, 39.255023, 39.863517, 40.334484, 42.325428, 183.269316], [5.782542, 5.829640, 5.975957, 6.035478, 6.098043, 6.160096, 6.205854, 6.216456, 6.991367, 34.903326], [1.723440, 1.811520, 1.814239, 1.859335, 1.866752, 1.978229, 2.028537, 2.032465, 2.060761, 8.325260], [37.757327, 37.816239, 39.646287, 40.433189, 40.850577, 40.987147, 41.237088, 41.833081, 43.795839, 199.519441], [4.921630, 5.010521, 5.083950, 5.137994, 5.301117, 5.411092, 5.482146, 5.501098, 6.143499, 10.916489]]
### 8
fourier: [[13.131545, 13.209766, 13.380004, 13.412677, 13.664739, 13.666755, 14.385088, 14.573962, 15.566678, 27.814222], [42.180992, 44.667968, 45.253828, 45.939206, 47.225344, 47.773484, 48.642994, 48.696897, 51.296085, 197.754672], [54.337947, 57.884102, 58.954922, 59.159853, 60.976269, 61.518694, 62.573975, 63.724595, 64.886842, 264.424102], [7.720082, 7.776557, 8.295758, 8.338427, 8.514266, 8.654612, 8.676522, 8.721711, 8.997275, 9.229719], [62.209203, 65.228808, 66.085019, 67.166008, 68.889695, 69.552432, 71.078203, 71.537476, 75.417084, 294.220162], [13.501986, 14.335252, 14.461728, 14.547722, 14.948746, 15.041456, 15.283245, 15.764868, 15.944563, 19.180208], [5.002224, 5.041438, 5.055484, 5.332714, 5.371294, 5.396212, 5.459659, 5.494451, 5.830943, 12.526063]]
### 10
fourier: [[71.898467, 74.195902, 74.418506, 74.475461, 77.102717, 77.595395, 79.174974, 80.992900, 85.672946, 298.116368]]
## 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": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.539712, -0.000244, -0.295818, -0.064122, 0.458503], [-0.683227, -0.202507, -0.452166, 0.021457, -0.284556], [0.186675, 0.58945, 0.584091, 0.129773, -0.208826], [0.150486, 0.435658, -0.052104, -0.358299, -0.273577], [-0.291538, 0.047738, -0.241357, -0.047718, -0.174481], [0.556254, 0.298943, 0.157311, 0.059869, 0.183478], [-0.284029, 0.054643, -0.185817, -0.70775, 0.245389]], "network.0.bias": [-0.074716, -0.076016, 0.283172, 0.20485, -0.213992, 0.027175, -0.294949], "network.2.weight": [[-0.502339, -0.020455, 0.072254, -0.637819, -0.296501, -0.2804, -0.155621], [0.190483, -0.353292, -0.038003, -0.101462, -0.281573, -0.129201, 0.0676], [-0.089978, -0.632054, 0.040743, -0.176902, -0.512809, -0.01273, -0.042179], [0.23027, -0.325709, -0.134445, -0.192644, -0.640132, -0.029196, 0.064977], [0.090405, 0.326712, 0.306801, 0.269036, 0.310883, 0.218539, 0.368915], [-0.316852, -0.28231, -0.318028, -0.424206, 0.30735, -0.140549, -0.166707], [-0.147894, 0.195433, 0.622618, 0.747978, 0.171088, 0.606627, -0.073036]], "network.2.bias": [-0.054227, 0.286166, 0.476489, 0.063321, -0.387318, -0.24373, -0.077821], "network.4.weight": [[0.115173, 0.060009, -0.243338, 0.245123, 0.187122, 0.659442, 0.680089], [-0.296756, 0.025743, 0.271994, 0.03324, -0.010158, 0.660808, 0.439304], [-0.126943, 0.365237, 0.398377, 0.293796, 0.148038, -0.452187, -0.121221], [-0.350747, -0.100788, -0.591196, 0.131177, -0.128369, 0.084649, -0.308135], [-0.137231, 0.324415, 0.476326, 0.22446, -0.568479, -0.20845, 0.111788], [-0.254569, -0.327664, -0.300807, -0.368195, 0.489121, -0.009642, 0.452913], [0.130857, 0.343607, -0.089422, -0.086507, -0.164393, 0.019006, 0.02939]], "network.4.bias": [-0.172693, -0.351739, 0.317855, -0.191397, 0.261576, 0.062489, 0.330025], "network.6.weight": [[0.555584, 0.270006, -0.3797, 0.352481, -0.817683, 0.462875, -0.208293], [0.091271, 0.353883, -0.286425, -0.205135, -0.424017, 0.276524, -0.281736], [0.657462, 0.617059, -0.22599, 0.09234, -0.201251, 0.287173, -0.087363], [0.178384, -0.198726, 0.179428, -0.3819, 0.164223, -0.234351, 0.370047], [-0.151737, -0.091395, 0.15614, 0.069832, -0.1423, 0.145185, -0.097657], [0.595292, 0.200523, 0.273653, 0.292785, -0.593636, 0.683248, 0.229324], [-0.055838, -0.095258, 0.36864, -0.047999, 0.365565, 0.020513, 0.256538]], "network.6.bias": [-0.182861, -0.285377, -0.086209, 0.476079, 0.23353, -0.089034, 0.057063], "network.8.weight": [[-0.53556, -0.045296, 0.096057, 0.615947, -0.079355, 0.097281, -0.073485], [0.538561, 0.022979, 0.204018, 0.124284, -0.333119, 0.518478, 0.152586], [0.127164, 0.170172, 0.628584, -0.302573, 0.04609, 0.697515, -0.188929], [-0.042535, 0.069946, 0.358937, -0.29446, -0.454495, -0.160376, -0.030137], [0.843794, 0.507471, 0.403181, -0.446939, -0.259401, 0.340292, -0.195626], [-0.025777, -0.085431, -0.49749, 0.244543, -0.023834, 0.192309, 0.16721], [-0.038584, 0.030032, -0.181707, -0.082983, -0.448701, 0.299734, -0.141665]], "network.8.bias": [0.019497, -0.328718, -0.117434, -0.28724, 0.134111, 0.388595, -0.040065], "network.10.weight": [[0.125035, -0.470062, -0.477684, -0.173703, -0.369163, 0.422212, -0.031724]], "network.10.bias": [0.387357]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6909677088260651, "train_acc": 0.5, "val_loss": 0.6640603542327881, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6745944917201996, "train_acc": 0.54, "val_loss": 0.5653865933418274, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.629018098115921, "train_acc": 0.5, "val_loss": 0.4578503668308258, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5298055410385132, "train_acc": 0.71, "val_loss": 0.37892937660217285, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4170662611722946, "train_acc": 0.82, "val_loss": 0.28104087710380554, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.44649672508239746, "train_acc": 0.825, "val_loss": 0.29847216606140137, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3762028366327286, "train_acc": 0.855, "val_loss": 0.5284488797187805, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.47685590386390686, "train_acc": 0.78, "val_loss": 0.3775518536567688, "val_acc": 0.82}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6640603542327881, "final_val_loss": 0.5653865933418274, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.4578503668308258, "final_val_loss": 0.3775518536567688, "initial_val_acc": 0.76, "final_val_acc": 0.82, "best_val_acc": 0.92, "best_epoch": 4}, "improvement": 0.3400000000000001, "first_improvement_epoch": 1}}
|
181
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.86, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3877, "learning_rate": 0.03952719534788068, "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: 5
Neurons per Layer: 6
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.bias": [
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[
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],
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[16.260976, 16.861589, 16.933253, 21.217598, 21.639887, 22.724055, 23.191539, 23.375281, 23.710496, 206.897781], [22.024033, 23.516115, 23.696212, 24.399845, 25.286953, 26.898676, 27.240978, 32.918662, 34.713571, 124.419628], [9.265546, 9.368670, 9.671877, 10.489290, 12.833768, 12.862407, 13.763113, 14.784174, 15.891677, 28.788825], [11.538927, 12.112674, 12.678515, 12.736006, 13.126013, 13.950480, 14.224272, 15.552014, 16.096511, 28.421487], [11.165758, 12.220596, 12.816918, 12.893487, 13.141372, 13.536784, 13.858351, 16.366396, 18.797168, 43.222066], [19.406400, 20.147766, 20.568831, 21.956930, 22.006380, 24.142535, 24.262664, 25.485888, 29.731921, 167.888567]]
### 2
fourier: [[11.486565, 11.655437, 12.474801, 13.688634, 14.384926, 14.432697, 14.715489, 15.690772, 17.914525, 38.305696], [12.004556, 12.139527, 12.552014, 12.819114, 13.567824, 13.576465, 15.417620, 17.358511, 20.194876, 28.754153], [9.975939, 10.135978, 10.792396, 11.421647, 12.346294, 12.908521, 13.652311, 15.129126, 15.344379, 83.740490], [3.348709, 3.355951, 3.384162, 3.468030, 3.584645, 3.599533, 3.605934, 5.297518, 5.466794, 33.734561], [5.967303, 6.254164, 6.355061, 6.731867, 7.596714, 7.626721, 9.017159, 9.036203, 9.260062, 20.679344], [9.493612, 9.770204, 11.024605, 11.960804, 12.106372, 12.378157, 13.121902, 14.703465, 14.824897, 27.837608]]
### 4
fourier: [[7.940956, 8.026518, 8.111941, 8.438807, 8.797265, 9.327699, 9.351843, 10.079241, 13.278173, 16.667395], [2.188665, 2.331807, 2.393686, 2.454440, 2.660321, 2.890562, 3.064819, 3.212917, 3.302393, 44.857210], [5.843037, 6.124535, 6.195870, 6.199375, 6.408306, 6.521495, 6.755196, 8.620854, 10.910547, 80.924327], [6.555589, 7.367328, 7.701773, 8.118420, 8.175916, 8.928062, 8.985296, 10.319623, 10.365044, 91.924745], [2.026188, 2.029526, 2.055354, 2.249515, 2.512972, 2.644048, 2.867582, 3.417415, 3.520880, 36.327375], [0.898319, 0.925226, 0.929376, 0.986373, 1.038975, 1.047025, 1.235334, 1.337465, 1.441614, 46.507580]]
### 6
fourier: [[7.643084, 7.812135, 8.470109, 8.529233, 9.030817, 9.883358, 10.147729, 12.798582, 14.817585, 136.482707], [8.392601, 8.523511, 9.173849, 9.276896, 9.801679, 10.824162, 11.168929, 13.860454, 16.099397, 146.536592], [3.868735, 4.183301, 4.261913, 4.494642, 4.494920, 4.887135, 4.905761, 6.628184, 7.344686, 62.748337], [1.535713, 1.618557, 1.662184, 1.706723, 1.746764, 1.889928, 2.138098, 2.426090, 2.562241, 62.637686], [4.301570, 4.542444, 4.632614, 4.678999, 4.696118, 5.296631, 5.756078, 6.235165, 7.777264, 67.898838], [2.306086, 2.371922, 2.429365, 2.468333, 2.479609, 2.658560, 3.165860, 3.185776, 3.334539, 76.874184]]
### 8
fourier: [[8.858448, 8.997454, 9.257080, 9.580639, 10.089712, 11.752996, 12.172190, 13.700427, 16.516834, 177.754127], [10.991993, 11.132156, 11.462330, 11.829661, 12.591319, 14.679378, 15.109746, 17.157887, 20.556040, 238.673626], [1.533576, 1.580362, 1.629049, 1.643703, 1.681555, 1.986876, 2.072873, 2.240235, 2.726407, 30.385739], [6.807805, 6.910502, 7.101546, 7.343689, 7.821341, 9.105142, 9.384985, 10.659727, 12.751866, 150.660869], [2.203891, 2.251532, 2.348790, 2.359240, 2.377912, 2.745533, 2.923747, 3.156078, 3.948031, 49.110338], [0.418952, 0.447099, 0.449169, 0.449835, 0.454975, 0.502656, 0.503356, 0.522601, 0.695497, 33.604745]]
### 10
fourier: [[13.100044, 13.130677, 13.594423, 14.048951, 14.894142, 17.353806, 17.910674, 20.270356, 24.333569, 241.986566]]
## 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: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[16.260976, 16.861589, 16.933253, 21.217598, 21.639887, 22.724055, 23.191539, 23.375281, 23.710496, 206.897781], [22.024033, 23.516115, 23.696212, 24.399845, 25.286953, 26.898676, 27.240978, 32.918662, 34.713571, 124.419628], [9.265546, 9.368670, 9.671877, 10.489290, 12.833768, 12.862407, 13.763113, 14.784174, 15.891677, 28.788825], [11.538927, 12.112674, 12.678515, 12.736006, 13.126013, 13.950480, 14.224272, 15.552014, 16.096511, 28.421487], [11.165758, 12.220596, 12.816918, 12.893487, 13.141372, 13.536784, 13.858351, 16.366396, 18.797168, 43.222066], [19.406400, 20.147766, 20.568831, 21.956930, 22.006380, 24.142535, 24.262664, 25.485888, 29.731921, 167.888567]]
### 2
fourier: [[11.486565, 11.655437, 12.474801, 13.688634, 14.384926, 14.432697, 14.715489, 15.690772, 17.914525, 38.305696], [12.004556, 12.139527, 12.552014, 12.819114, 13.567824, 13.576465, 15.417620, 17.358511, 20.194876, 28.754153], [9.975939, 10.135978, 10.792396, 11.421647, 12.346294, 12.908521, 13.652311, 15.129126, 15.344379, 83.740490], [3.348709, 3.355951, 3.384162, 3.468030, 3.584645, 3.599533, 3.605934, 5.297518, 5.466794, 33.734561], [5.967303, 6.254164, 6.355061, 6.731867, 7.596714, 7.626721, 9.017159, 9.036203, 9.260062, 20.679344], [9.493612, 9.770204, 11.024605, 11.960804, 12.106372, 12.378157, 13.121902, 14.703465, 14.824897, 27.837608]]
### 4
fourier: [[7.940956, 8.026518, 8.111941, 8.438807, 8.797265, 9.327699, 9.351843, 10.079241, 13.278173, 16.667395], [2.188665, 2.331807, 2.393686, 2.454440, 2.660321, 2.890562, 3.064819, 3.212917, 3.302393, 44.857210], [5.843037, 6.124535, 6.195870, 6.199375, 6.408306, 6.521495, 6.755196, 8.620854, 10.910547, 80.924327], [6.555589, 7.367328, 7.701773, 8.118420, 8.175916, 8.928062, 8.985296, 10.319623, 10.365044, 91.924745], [2.026188, 2.029526, 2.055354, 2.249515, 2.512972, 2.644048, 2.867582, 3.417415, 3.520880, 36.327375], [0.898319, 0.925226, 0.929376, 0.986373, 1.038975, 1.047025, 1.235334, 1.337465, 1.441614, 46.507580]]
### 6
fourier: [[7.643084, 7.812135, 8.470109, 8.529233, 9.030817, 9.883358, 10.147729, 12.798582, 14.817585, 136.482707], [8.392601, 8.523511, 9.173849, 9.276896, 9.801679, 10.824162, 11.168929, 13.860454, 16.099397, 146.536592], [3.868735, 4.183301, 4.261913, 4.494642, 4.494920, 4.887135, 4.905761, 6.628184, 7.344686, 62.748337], [1.535713, 1.618557, 1.662184, 1.706723, 1.746764, 1.889928, 2.138098, 2.426090, 2.562241, 62.637686], [4.301570, 4.542444, 4.632614, 4.678999, 4.696118, 5.296631, 5.756078, 6.235165, 7.777264, 67.898838], [2.306086, 2.371922, 2.429365, 2.468333, 2.479609, 2.658560, 3.165860, 3.185776, 3.334539, 76.874184]]
### 8
fourier: [[8.858448, 8.997454, 9.257080, 9.580639, 10.089712, 11.752996, 12.172190, 13.700427, 16.516834, 177.754127], [10.991993, 11.132156, 11.462330, 11.829661, 12.591319, 14.679378, 15.109746, 17.157887, 20.556040, 238.673626], [1.533576, 1.580362, 1.629049, 1.643703, 1.681555, 1.986876, 2.072873, 2.240235, 2.726407, 30.385739], [6.807805, 6.910502, 7.101546, 7.343689, 7.821341, 9.105142, 9.384985, 10.659727, 12.751866, 150.660869], [2.203891, 2.251532, 2.348790, 2.359240, 2.377912, 2.745533, 2.923747, 3.156078, 3.948031, 49.110338], [0.418952, 0.447099, 0.449169, 0.449835, 0.454975, 0.502656, 0.503356, 0.522601, 0.695497, 33.604745]]
### 10
fourier: [[13.100044, 13.130677, 13.594423, 14.048951, 14.894142, 17.353806, 17.910674, 20.270356, 24.333569, 241.986566]]
## 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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0.6954971200768605, 33.60474494099617]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [13.100043651987955, 13.13067660704097, 13.594423066360314, 14.048951159702433, 14.894141546211607, 17.353806076446872, 17.910673996382073, 20.27035638502945, 24.333569369182005, 241.98656563460827]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "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": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.13175, -0.267957, -0.305465, -0.218039, -0.423596], [-0.622544, 0.233476, -0.107757, 0.375221, 0.581411], [-0.189717, 0.392425, -0.106878, -0.301156, 0.182979], [-0.123019, -0.206965, -0.060925, 0.274727, 0.312104], [0.034432, 0.219551, -0.030771, 0.266214, -0.269533], [0.306132, 0.419708, 0.214706, 0.186995, -0.293405]], "network.0.bias": [-0.346452, 0.435094, -0.155475, -0.000779, -0.136854, 0.23203], "network.2.weight": [[0.054336, 0.267175, -0.013763, 0.248157, -0.471295, -0.327601], [-0.054661, 0.413039, -0.323623, 0.201314, -0.16171, -0.369842], [0.090262, -0.056411, -0.044695, 0.018431, 0.547125, 0.328262], [-0.031431, -0.145765, -0.249858, 0.180979, -0.230362, 0.121661], [0.152948, 0.12457, 0.430972, -0.370616, 0.230448, 0.1459], [-0.268926, 0.242941, -0.315742, 0.297528, -0.414999, -0.252133]], "network.2.bias": [-0.059518, -0.230416, 0.049889, 0.470857, -0.265795, -0.060285], "network.4.weight": [[0.290366, 0.485591, -0.181159, -0.490056, -0.053353, 0.359857], [-0.101043, -0.170707, -0.083787, -0.529183, -0.316479, 0.127794], [-0.14441, -0.395052, 0.313913, 0.299761, -0.051869, -0.032738], [-0.564389, 0.100416, 0.1995, 0.148819, 0.479513, -0.342666], [0.222658, -0.379644, -0.205245, 0.042851, -0.02679, 0.042371], [0.08493, 0.007101, -0.107142, -0.141069, 0.100364, -0.123558]], "network.4.bias": [0.128777, -0.080083, 0.626333, 0.76638, -0.178421, -0.387232], "network.6.weight": [[-0.458405, 0.151307, 0.583517, 0.527804, 0.162063, -0.381867], [-0.457892, -0.100622, 0.670762, 0.594837, 0.334197, -0.265442], [-0.333814, 0.205977, 0.112941, 0.292814, -0.282458, -0.266419], [-0.135595, 0.176114, 0.083039, -0.405893, 0.05678, -0.077108], [-0.035424, -0.309456, 0.610689, 0.254677, 0.281711, -0.282712], [-0.18283, -0.334113, -0.226801, -0.341008, 0.303617, -0.363672]], "network.6.bias": [0.513261, 0.472611, 0.354195, -0.314194, -0.076436, -0.242238], "network.8.weight": [[0.5428, 0.429892, 0.115576, -0.323558, 0.440576, -0.242902], [0.693333, 0.418799, 0.501756, -0.238607, 0.456906, -0.148874], [0.21344, -0.079903, -0.367497, -0.323226, -0.318539, 0.060103], [0.268247, 0.525116, 0.179772, 0.30987, 0.162293, 0.131673], [-0.34889, 0.043177, 0.295114, 0.114131, -0.2545, 0.250885], [-0.172539, 0.089658, 0.190334, 0.375669, -0.116021, 0.20891]], "network.8.bias": [-0.001866, 0.168648, -0.026022, 0.130634, -0.095453, -0.303985], "network.10.weight": [[-0.556878, -0.45602, -0.203338, -0.452215, -0.321218, -0.025082]], "network.10.bias": [0.377535]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7211582958698273, "train_acc": 0.425, "val_loss": 0.6911683082580566, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6910353302955627, "train_acc": 0.505, "val_loss": 0.6840920448303223, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6593926548957825, "train_acc": 0.575, "val_loss": 0.6487100124359131, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6218830645084381, "train_acc": 0.505, "val_loss": 0.5634226202964783, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.531747117638588, "train_acc": 0.62, "val_loss": 0.49945589900016785, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.49463269114494324, "train_acc": 0.76, "val_loss": 0.4202120900154114, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.432871475815773, "train_acc": 0.835, "val_loss": 0.40602654218673706, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.43058905005455017, "train_acc": 0.835, "val_loss": 0.38147979974746704, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3772735893726349, "train_acc": 0.835, "val_loss": 0.36880290508270264, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3908221423625946, "train_acc": 0.83, "val_loss": 0.36471107602119446, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.37028245627880096, "train_acc": 0.84, "val_loss": 0.36646920442581177, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.37551289796829224, "train_acc": 0.855, "val_loss": 0.3648022413253784, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3527608811855316, "train_acc": 0.855, "val_loss": 0.3558918833732605, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6911683082580566, "final_val_loss": 0.6487100124359131, "initial_val_acc": 0.52, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5634226202964783, "final_val_loss": 0.3558918833732605, "initial_val_acc": 0.48, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 5}, "improvement": 0.38, "first_improvement_epoch": 2}}
|
182
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{"target_pattern": "has_majority", "degraded_accuracy": 0.6, "improved_accuracy": 0.86, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3573, "learning_rate": 0.07375979395838758, "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.6.weight": [
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## Activation Signature
### 0
fourier: [[19.769405, 23.595305, 24.056095, 24.475509, 25.631952, 28.553399, 29.390371, 29.635804, 35.282588, 226.978244], [22.384819, 23.984699, 24.084859, 25.315873, 25.380140, 27.515710, 28.091330, 30.163572, 30.610905, 133.619208], [16.505031, 16.604823, 17.430001, 18.700087, 20.218729, 20.799108, 21.345907, 26.769996, 28.076427, 188.800436], [35.563600, 38.615392, 38.925144, 39.264945, 39.746415, 48.465629, 50.945014, 53.068717, 61.422673, 264.507450], [39.402868, 42.662582, 43.835442, 48.299573, 50.282779, 50.448527, 55.516694, 61.215962, 71.790283, 112.261749], [23.119160, 23.471909, 23.600810, 25.785859, 25.861651, 26.932316, 29.097748, 29.676138, 33.468707, 121.862922], [23.381972, 23.487460, 24.584350, 26.192489, 27.461244, 27.973524, 29.928698, 30.219087, 32.241979, 147.886550]]
### 2
fourier: [[4.024887, 4.109683, 4.143012, 4.265830, 4.641585, 4.728569, 5.022074, 5.289073, 6.732264, 17.879155], [2.892185, 2.930858, 3.087141, 3.290900, 3.382153, 3.435465, 3.574203, 3.644005, 3.819497, 5.832303], [1.675329, 1.732024, 1.983044, 2.022806, 2.031549, 2.094652, 2.188843, 2.385678, 2.456303, 93.704788], [4.976085, 5.181588, 5.195874, 5.932284, 6.128572, 6.413444, 6.552662, 6.769736, 7.833787, 28.565355], [4.412632, 4.584256, 4.740332, 5.026430, 5.289338, 5.339825, 5.359509, 7.038070, 7.062967, 47.067049], [9.368598, 9.482223, 9.534083, 9.769545, 9.800723, 10.115426, 10.710778, 11.441244, 11.856705, 15.738100], [3.721847, 3.809999, 3.847447, 3.989194, 4.032490, 4.340415, 4.566568, 4.862633, 5.314971, 7.021996]]
### 4
fourier: [[1.918375, 1.945807, 1.985332, 2.039340, 2.114487, 2.374598, 2.415389, 2.510885, 2.630446, 14.783487], [3.111084, 3.429092, 3.535764, 3.816369, 3.860101, 3.990865, 4.207689, 4.283447, 4.442943, 36.720480], [2.051857, 2.215554, 2.237992, 2.441604, 2.448342, 2.584665, 2.662252, 2.674854, 2.925537, 14.056206], [3.793510, 3.975826, 4.014097, 4.052784, 4.180248, 4.210453, 4.759913, 5.465826, 5.513820, 7.745299], [3.567257, 3.594614, 3.696002, 3.884216, 3.910192, 4.653976, 4.808496, 5.433702, 5.893709, 33.112719], [9.158165, 9.162499, 9.462000, 10.076737, 10.437515, 10.625925, 11.543625, 13.906765, 14.931148, 64.891043], [8.787033, 8.938748, 9.391313, 9.553733, 9.709199, 10.710356, 10.852833, 11.431900, 12.283340, 14.390059]]
### 6
fourier: [[3.395287, 3.400731, 3.471673, 3.768271, 3.796844, 3.983975, 4.029056, 4.490864, 4.761420, 20.201800], [11.403825, 11.602706, 12.116506, 12.620875, 13.294637, 14.093366, 14.262166, 15.132769, 16.012208, 54.143840], [10.966657, 11.265442, 12.037266, 12.121203, 13.415811, 14.549383, 14.741270, 14.933362, 15.082964, 53.799202], [3.514919, 3.553415, 3.572482, 3.753716, 3.781085, 3.897908, 4.316270, 4.761885, 4.771740, 29.434335], [12.035127, 12.296124, 12.361408, 13.011494, 14.156356, 15.137379, 15.631643, 16.289635, 16.588643, 39.461208], [4.048791, 4.229083, 4.550595, 4.706555, 4.759903, 5.236920, 5.560349, 5.742533, 5.793725, 6.008569], [9.985695, 10.178459, 10.701100, 11.149510, 11.850625, 12.023904, 12.441219, 13.201696, 13.860315, 14.150991]]
### 8
fourier: [[18.225350, 19.244251, 19.307228, 20.139133, 20.736422, 21.064821, 21.530857, 25.910359, 26.705484, 82.185271], [3.824295, 3.915139, 4.180310, 4.364367, 4.589858, 4.654673, 5.048503, 5.550586, 5.741345, 23.959416], [8.016193, 8.195450, 8.647221, 8.731736, 8.990837, 9.534056, 9.599095, 11.172092, 11.495073, 52.208475], [15.881451, 16.676993, 17.486392, 17.935042, 18.501294, 19.260018, 19.761236, 19.800796, 23.547389, 23.872440], [7.895887, 8.102985, 8.177500, 8.671094, 8.692894, 9.036051, 9.325723, 11.296287, 12.003195, 25.668440], [8.120387, 8.147032, 8.255106, 8.436364, 9.149316, 9.649246, 10.188595, 10.225420, 11.373047, 11.464416], [11.239574, 11.697146, 11.751873, 11.856794, 12.270192, 12.368603, 13.097949, 16.099518, 17.149229, 120.454814]]
### 10
fourier: [[8.362108, 9.000703, 9.144685, 9.709014, 10.221158, 11.624677, 11.635498, 11.842386, 11.845385, 126.164130], [9.718998, 10.097043, 10.329110, 11.168033, 11.580457, 12.672797, 12.797684, 13.732203, 13.881827, 35.024270], [16.828086, 17.619960, 18.031057, 18.140647, 18.163281, 18.310577, 19.802405, 23.907502, 25.345081, 105.835256], [9.873106, 10.089600, 10.491335, 11.198803, 11.553137, 12.158143, 12.233183, 13.877868, 14.168688, 45.707223], [10.441324, 11.097735, 11.232282, 11.272658, 11.413088, 11.459777, 12.108685, 14.575080, 15.249606, 95.941752], [12.385823, 12.790018, 13.113023, 14.211488, 14.702936, 16.015322, 16.213548, 17.472979, 17.711538, 60.376753], [21.270667, 22.346892, 22.609207, 23.589643, 24.195703, 24.441745, 25.089465, 30.300650, 31.669534, 32.167242]]
### 12
fourier: [[20.252658, 20.623379, 20.644569, 23.148538, 24.495580, 26.348465, 27.153757, 29.254551, 30.272763, 68.868841]]
## 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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[19.769405, 23.595305, 24.056095, 24.475509, 25.631952, 28.553399, 29.390371, 29.635804, 35.282588, 226.978244], [22.384819, 23.984699, 24.084859, 25.315873, 25.380140, 27.515710, 28.091330, 30.163572, 30.610905, 133.619208], [16.505031, 16.604823, 17.430001, 18.700087, 20.218729, 20.799108, 21.345907, 26.769996, 28.076427, 188.800436], [35.563600, 38.615392, 38.925144, 39.264945, 39.746415, 48.465629, 50.945014, 53.068717, 61.422673, 264.507450], [39.402868, 42.662582, 43.835442, 48.299573, 50.282779, 50.448527, 55.516694, 61.215962, 71.790283, 112.261749], [23.119160, 23.471909, 23.600810, 25.785859, 25.861651, 26.932316, 29.097748, 29.676138, 33.468707, 121.862922], [23.381972, 23.487460, 24.584350, 26.192489, 27.461244, 27.973524, 29.928698, 30.219087, 32.241979, 147.886550]]
### 2
fourier: [[4.024887, 4.109683, 4.143012, 4.265830, 4.641585, 4.728569, 5.022074, 5.289073, 6.732264, 17.879155], [2.892185, 2.930858, 3.087141, 3.290900, 3.382153, 3.435465, 3.574203, 3.644005, 3.819497, 5.832303], [1.675329, 1.732024, 1.983044, 2.022806, 2.031549, 2.094652, 2.188843, 2.385678, 2.456303, 93.704788], [4.976085, 5.181588, 5.195874, 5.932284, 6.128572, 6.413444, 6.552662, 6.769736, 7.833787, 28.565355], [4.412632, 4.584256, 4.740332, 5.026430, 5.289338, 5.339825, 5.359509, 7.038070, 7.062967, 47.067049], [9.368598, 9.482223, 9.534083, 9.769545, 9.800723, 10.115426, 10.710778, 11.441244, 11.856705, 15.738100], [3.721847, 3.809999, 3.847447, 3.989194, 4.032490, 4.340415, 4.566568, 4.862633, 5.314971, 7.021996]]
### 4
fourier: [[1.918375, 1.945807, 1.985332, 2.039340, 2.114487, 2.374598, 2.415389, 2.510885, 2.630446, 14.783487], [3.111084, 3.429092, 3.535764, 3.816369, 3.860101, 3.990865, 4.207689, 4.283447, 4.442943, 36.720480], [2.051857, 2.215554, 2.237992, 2.441604, 2.448342, 2.584665, 2.662252, 2.674854, 2.925537, 14.056206], [3.793510, 3.975826, 4.014097, 4.052784, 4.180248, 4.210453, 4.759913, 5.465826, 5.513820, 7.745299], [3.567257, 3.594614, 3.696002, 3.884216, 3.910192, 4.653976, 4.808496, 5.433702, 5.893709, 33.112719], [9.158165, 9.162499, 9.462000, 10.076737, 10.437515, 10.625925, 11.543625, 13.906765, 14.931148, 64.891043], [8.787033, 8.938748, 9.391313, 9.553733, 9.709199, 10.710356, 10.852833, 11.431900, 12.283340, 14.390059]]
### 6
fourier: [[3.395287, 3.400731, 3.471673, 3.768271, 3.796844, 3.983975, 4.029056, 4.490864, 4.761420, 20.201800], [11.403825, 11.602706, 12.116506, 12.620875, 13.294637, 14.093366, 14.262166, 15.132769, 16.012208, 54.143840], [10.966657, 11.265442, 12.037266, 12.121203, 13.415811, 14.549383, 14.741270, 14.933362, 15.082964, 53.799202], [3.514919, 3.553415, 3.572482, 3.753716, 3.781085, 3.897908, 4.316270, 4.761885, 4.771740, 29.434335], [12.035127, 12.296124, 12.361408, 13.011494, 14.156356, 15.137379, 15.631643, 16.289635, 16.588643, 39.461208], [4.048791, 4.229083, 4.550595, 4.706555, 4.759903, 5.236920, 5.560349, 5.742533, 5.793725, 6.008569], [9.985695, 10.178459, 10.701100, 11.149510, 11.850625, 12.023904, 12.441219, 13.201696, 13.860315, 14.150991]]
### 8
fourier: [[18.225350, 19.244251, 19.307228, 20.139133, 20.736422, 21.064821, 21.530857, 25.910359, 26.705484, 82.185271], [3.824295, 3.915139, 4.180310, 4.364367, 4.589858, 4.654673, 5.048503, 5.550586, 5.741345, 23.959416], [8.016193, 8.195450, 8.647221, 8.731736, 8.990837, 9.534056, 9.599095, 11.172092, 11.495073, 52.208475], [15.881451, 16.676993, 17.486392, 17.935042, 18.501294, 19.260018, 19.761236, 19.800796, 23.547389, 23.872440], [7.895887, 8.102985, 8.177500, 8.671094, 8.692894, 9.036051, 9.325723, 11.296287, 12.003195, 25.668440], [8.120387, 8.147032, 8.255106, 8.436364, 9.149316, 9.649246, 10.188595, 10.225420, 11.373047, 11.464416], [11.239574, 11.697146, 11.751873, 11.856794, 12.270192, 12.368603, 13.097949, 16.099518, 17.149229, 120.454814]]
### 10
fourier: [[8.362108, 9.000703, 9.144685, 9.709014, 10.221158, 11.624677, 11.635498, 11.842386, 11.845385, 126.164130], [9.718998, 10.097043, 10.329110, 11.168033, 11.580457, 12.672797, 12.797684, 13.732203, 13.881827, 35.024270], [16.828086, 17.619960, 18.031057, 18.140647, 18.163281, 18.310577, 19.802405, 23.907502, 25.345081, 105.835256], [9.873106, 10.089600, 10.491335, 11.198803, 11.553137, 12.158143, 12.233183, 13.877868, 14.168688, 45.707223], [10.441324, 11.097735, 11.232282, 11.272658, 11.413088, 11.459777, 12.108685, 14.575080, 15.249606, 95.941752], [12.385823, 12.790018, 13.113023, 14.211488, 14.702936, 16.015322, 16.213548, 17.472979, 17.711538, 60.376753], [21.270667, 22.346892, 22.609207, 23.589643, 24.195703, 24.441745, 25.089465, 30.300650, 31.669534, 32.167242]]
### 12
fourier: [[20.252658, 20.623379, 20.644569, 23.148538, 24.495580, 26.348465, 27.153757, 29.254551, 30.272763, 68.868841]]
## 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": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.100223, 0.367815, -0.73974, -0.555385, 0.003414], [-0.62795, -0.29301, -0.181229, -0.067497, 0.172675], [-0.246272, -0.570227, 0.066897, -0.101307, -0.139886], [-1.094789, -0.249014, 0.237706, -0.144884, -0.761556], [-1.526193, 0.269192, -0.087184, 0.360679, 0.093377], [0.343162, -0.997469, -0.089798, 0.322742, -0.459459], [0.169658, -0.132051, -0.972638, -0.178095, 0.323464]], "network.0.bias": [-0.335482, 0.141064, -0.502196, -0.369403, -0.54512, 0.098674, 0.401022], "network.2.weight": [[-0.860149, 0.627926, -0.14103, 0.03419, 0.375663, -0.306712, -0.001007], [-0.541891, 1.22723, 0.139684, -0.041022, -0.095427, -0.367604, 0.096459], [-0.474436, 0.222654, -0.559962, -0.018239, 0.101684, -0.292613, -0.083945], [0.443646, -0.649911, -0.332936, -0.167741, -0.467917, 0.191236, 0.456291], [0.72861, -0.564801, -0.717257, -0.045614, -0.215577, 0.688916, 0.577888], [0.824882, -1.236193, -0.587203, 0.348222, -0.883715, 0.489948, 0.40153], [-0.761162, 0.172397, 0.148955, -0.90617, 0.282297, -0.385815, -0.121169]], "network.2.bias": [0.040829, 0.108857, -1.112406, -0.204486, 0.481842, 0.257241, -0.093109], "network.4.weight": [[-0.179111, 0.429085, 0.453007, 0.137575, 0.159727, 0.466346, 0.309863], [-0.940703, -0.139523, 0.225892, 0.578387, -0.32411, 0.344298, 0.087618], [-0.004352, -0.378733, -0.099966, 0.040391, -0.109214, -0.499988, 0.176562], [-1.038766, -0.618734, 0.179152, -0.323644, -0.267346, 0.075815, -0.230606], [0.692198, -0.333632, 0.149618, -0.26811, -0.500529, 0.21211, 0.040348], [-0.719341, -0.127438, 0.209942, 0.451609, 0.815382, 0.984008, -0.782094], [-1.254936, -0.725645, -0.294927, 0.1791, 0.358665, 0.987656, -0.517353]], "network.4.bias": [0.09838, -0.114761, -0.0396, 0.204666, -0.296458, 0.458961, 0.006325], "network.6.weight": [[0.180471, 0.332041, 0.262975, 0.184785, 0.160755, 0.277388, 0.158158], [0.410305, 0.449279, -0.30015, 0.072787, 0.119344, 0.786503, 0.78893], [0.018946, 0.165591, -0.438398, -0.347359, -0.356386, 0.996666, 0.51275], [0.080571, 0.429917, 0.359423, 0.576665, -0.280396, -0.075306, 0.639681], [0.004016, 0.206858, 0.227146, 0.585597, -0.283596, 0.824647, 0.913092], [-0.039031, -0.210169, -0.340862, -0.167866, 0.005342, 0.518542, 0.022651], [-0.055814, 0.249969, 0.073469, 0.5383, 0.004911, -0.662667, -0.941163]], "network.6.bias": [-0.388996, -0.081475, -0.221238, -0.371962, -0.290866, -0.392611, 0.536702], "network.8.weight": [[0.155971, 0.596818, 0.394836, 0.105238, 0.646143, 0.142476, -0.071088], [-0.320443, -0.21059, 0.543142, -0.212391, -0.036434, 0.220604, -0.533762], [0.274805, -0.156643, -0.638948, 0.46914, 0.034409, -0.516486, -0.190721], [-0.501612, -0.394358, -0.505608, -0.385072, -0.320703, -0.642065, 0.324058], [0.140103, 0.312322, 0.177803, 0.769662, 0.12786, 0.26497, 0.430107], [0.596654, -0.094601, 0.044574, 0.0702, 0.530539, 0.284559, -0.664651], [0.21889, -0.688631, -0.162818, -0.476304, -0.392938, 0.482473, -0.526183]], "network.8.bias": [0.080201, 0.08883, -0.046238, 0.613317, -0.012491, -0.215174, -0.687478], "network.10.weight": [[-0.35911, -0.903802, 1.021115, 0.237188, 0.014527, 0.188812, 0.284296], [-0.247393, -0.185239, 0.121032, 0.562544, -0.075489, -0.339559, -0.552391], [-0.656773, -0.346707, 0.700179, -0.118237, -0.524208, -0.091519, 0.050738], [-0.2785, 0.187191, -0.057754, 0.557995, -0.065367, -0.507794, -0.10601], [-0.302764, -0.253297, 0.717323, 0.039836, -0.353386, -0.304496, 0.599209], [-0.339154, -0.065637, 0.004782, 0.744475, 0.060126, -0.636219, -0.59501], [0.797004, 0.085844, 0.09458, -0.448875, 0.408554, 0.314184, 0.579911]], "network.10.bias": [-0.87267, 0.429325, -0.27899, 0.55438, -0.502054, 0.675486, -0.235018], "network.12.weight": [[0.813969, -0.271308, 0.234423, -0.537868, 0.24304, -0.591138, 0.682172]], "network.12.bias": [-0.18585]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7193705439567566, "train_acc": 0.425, "val_loss": 0.7006389498710632, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6904239654541016, "train_acc": 0.575, "val_loss": 0.7352359890937805, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6795049011707306, "train_acc": 0.575, "val_loss": 0.7124189734458923, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6678656935691833, "train_acc": 0.6, "val_loss": 0.6434621214866638, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5991645455360413, "train_acc": 0.66, "val_loss": 0.6530526876449585, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.580476701259613, "train_acc": 0.685, "val_loss": 0.5833249092102051, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5303291976451874, "train_acc": 0.7, "val_loss": 0.5505356788635254, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.46413689851760864, "train_acc": 0.805, "val_loss": 0.523015022277832, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4116354435682297, "train_acc": 0.81, "val_loss": 0.4955136477947235, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.37057800590991974, "train_acc": 0.855, "val_loss": 0.5024606585502625, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3103046417236328, "train_acc": 0.9, "val_loss": 0.6258168816566467, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3193701505661011, "train_acc": 0.89, "val_loss": 0.6548977494239807, "val_acc": 0.76}], "summary": {"total_epochs": 12, "degraded_epochs": 4, "improved_epochs": 8, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7006389498710632, "final_val_loss": 0.6434621214866638, "initial_val_acc": 0.46, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.6530526876449585, "final_val_loss": 0.6548977494239807, "initial_val_acc": 0.64, "final_val_acc": 0.76, "best_val_acc": 0.86, "best_epoch": 8}, "improvement": 0.26, "first_improvement_epoch": 3}}
|
183
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.66, "improved_accuracy": 0.86, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2509, "learning_rate": 0.03253006162550978, "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: 6
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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"network.0.bias": [
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"network.2.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
fourier: [[18.067276, 18.686584, 19.911425, 20.207222, 20.220428, 22.796288, 22.858116, 25.161610, 29.620447, 54.915011], [12.689862, 12.734354, 12.822498, 13.081747, 13.368196, 14.621746, 19.019598, 19.518334, 20.009380, 63.595553], [16.074932, 16.488089, 16.498654, 18.790565, 19.506624, 19.655050, 19.753821, 21.248843, 25.608508, 47.210362], [19.110199, 19.641664, 20.034197, 20.512171, 22.046668, 22.776435, 23.647846, 24.666723, 26.647956, 27.149080], [26.836514, 26.875976, 27.461875, 27.573165, 28.042347, 28.888992, 29.820116, 37.836868, 42.995425, 46.089970], [22.457558, 22.677827, 25.741208, 25.974694, 26.918303, 27.047623, 27.434624, 28.727792, 30.467321, 88.090359]]
### 2
fourier: [[17.438418, 18.729008, 19.039851, 20.536029, 20.735010, 21.908127, 23.360020, 24.006621, 27.683827, 99.271949], [16.237713, 16.438408, 17.535302, 18.741904, 19.502291, 20.328927, 21.518293, 21.772570, 28.375456, 71.421059], [8.447265, 8.894203, 9.816412, 10.284376, 10.560555, 11.119686, 12.127127, 12.173881, 12.381825, 17.618182], [11.174490, 11.275657, 11.716033, 11.936538, 12.305090, 12.384084, 13.604575, 13.933951, 14.860843, 26.920290], [8.304404, 8.666770, 8.918492, 9.234479, 9.318595, 9.597789, 9.833636, 9.959017, 13.883929, 35.494987], [8.601116, 8.820712, 8.997687, 9.204686, 10.003500, 10.861572, 11.059828, 12.106455, 14.435278, 45.343589]]
### 4
fourier: [[6.013362, 6.260503, 6.292282, 6.423125, 6.503129, 6.683874, 6.700439, 7.405783, 7.780519, 8.546106], [4.314711, 4.805158, 5.072233, 5.439638, 5.490336, 6.167387, 6.789763, 6.798904, 7.370779, 29.185076], [8.162532, 9.146140, 9.365870, 10.236274, 11.097573, 11.652620, 12.176915, 12.679827, 14.602076, 100.149415], [2.503421, 2.720952, 2.946039, 3.436146, 3.448151, 3.614581, 3.665579, 4.324503, 4.764703, 20.198316], [18.131857, 18.682419, 19.775664, 20.691031, 24.310370, 24.628524, 25.782444, 29.106679, 29.487908, 69.110023], [12.685786, 13.547945, 14.026243, 14.339490, 15.260385, 16.562399, 16.637217, 19.111666, 19.794990, 48.078853]]
### 6
fourier: [[17.899547, 18.913462, 19.009170, 19.946595, 20.664067, 20.949527, 22.683945, 23.879698, 25.562112, 95.432074], [2.970675, 2.982291, 3.030600, 3.177511, 3.303805, 3.392949, 3.649867, 4.363084, 4.583942, 6.570695], [12.081327, 12.324427, 12.426998, 13.141570, 13.447166, 13.686304, 14.897491, 15.267159, 16.488525, 75.029248], [13.607728, 13.703974, 14.109709, 14.205388, 14.918057, 14.940834, 15.207675, 19.130714, 19.743604, 45.937874], [1.373667, 1.570244, 1.609544, 1.821495, 1.906584, 1.920582, 2.156451, 2.199205, 2.271484, 28.784986], [15.471663, 16.315756, 16.991798, 17.287305, 17.889302, 17.951512, 18.446340, 21.303713, 22.482033, 74.610778]]
### 8
fourier: [[11.773947, 12.131563, 12.789371, 12.863879, 13.357044, 13.725428, 13.895531, 14.847105, 16.072218, 17.023668], [0.490135, 0.502878, 0.525785, 0.530643, 0.552866, 0.578982, 0.738619, 0.756268, 1.217612, 39.988936], [7.023106, 7.037377, 7.552176, 7.947676, 8.049941, 8.235721, 8.238528, 8.570057, 9.947140, 10.498499], [8.562607, 9.222341, 9.292997, 9.551128, 9.825656, 9.958995, 10.375604, 11.689463, 12.309971, 38.537698], [23.817243, 25.456980, 25.593236, 26.505656, 27.304023, 27.609386, 28.865555, 32.016470, 34.051977, 117.056007], [4.883828, 4.987755, 5.099203, 5.149972, 5.344815, 5.393106, 5.416273, 6.748694, 7.033087, 74.640663]]
### 10
fourier: [[17.979334, 18.329938, 19.793793, 20.270484, 20.533910, 20.842220, 21.174943, 24.922651, 27.293779, 64.919332], [8.567677, 8.868835, 9.914870, 10.466077, 10.489289, 11.698971, 11.889509, 13.492777, 15.695171, 67.589966], [10.735831, 11.533945, 11.646717, 12.473571, 12.861109, 13.045939, 13.329118, 15.755148, 17.389868, 44.588368], [5.241684, 5.416252, 5.504919, 5.753694, 5.858214, 5.903417, 6.666708, 6.700856, 6.974533, 19.120098], [5.996187, 6.409272, 7.253855, 7.408401, 7.617449, 8.296728, 8.454245, 9.648926, 11.089166, 70.376650], [4.622914, 4.936122, 5.050580, 5.324531, 5.534834, 5.654130, 5.830469, 6.687245, 7.504835, 7.739318]]
### 12
fourier: [[20.332449, 21.654990, 24.173164, 25.506883, 25.734240, 28.706427, 29.217823, 31.774342, 38.400460, 134.983903]]
## 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: 6
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: [[18.067276, 18.686584, 19.911425, 20.207222, 20.220428, 22.796288, 22.858116, 25.161610, 29.620447, 54.915011], [12.689862, 12.734354, 12.822498, 13.081747, 13.368196, 14.621746, 19.019598, 19.518334, 20.009380, 63.595553], [16.074932, 16.488089, 16.498654, 18.790565, 19.506624, 19.655050, 19.753821, 21.248843, 25.608508, 47.210362], [19.110199, 19.641664, 20.034197, 20.512171, 22.046668, 22.776435, 23.647846, 24.666723, 26.647956, 27.149080], [26.836514, 26.875976, 27.461875, 27.573165, 28.042347, 28.888992, 29.820116, 37.836868, 42.995425, 46.089970], [22.457558, 22.677827, 25.741208, 25.974694, 26.918303, 27.047623, 27.434624, 28.727792, 30.467321, 88.090359]]
### 2
fourier: [[17.438418, 18.729008, 19.039851, 20.536029, 20.735010, 21.908127, 23.360020, 24.006621, 27.683827, 99.271949], [16.237713, 16.438408, 17.535302, 18.741904, 19.502291, 20.328927, 21.518293, 21.772570, 28.375456, 71.421059], [8.447265, 8.894203, 9.816412, 10.284376, 10.560555, 11.119686, 12.127127, 12.173881, 12.381825, 17.618182], [11.174490, 11.275657, 11.716033, 11.936538, 12.305090, 12.384084, 13.604575, 13.933951, 14.860843, 26.920290], [8.304404, 8.666770, 8.918492, 9.234479, 9.318595, 9.597789, 9.833636, 9.959017, 13.883929, 35.494987], [8.601116, 8.820712, 8.997687, 9.204686, 10.003500, 10.861572, 11.059828, 12.106455, 14.435278, 45.343589]]
### 4
fourier: [[6.013362, 6.260503, 6.292282, 6.423125, 6.503129, 6.683874, 6.700439, 7.405783, 7.780519, 8.546106], [4.314711, 4.805158, 5.072233, 5.439638, 5.490336, 6.167387, 6.789763, 6.798904, 7.370779, 29.185076], [8.162532, 9.146140, 9.365870, 10.236274, 11.097573, 11.652620, 12.176915, 12.679827, 14.602076, 100.149415], [2.503421, 2.720952, 2.946039, 3.436146, 3.448151, 3.614581, 3.665579, 4.324503, 4.764703, 20.198316], [18.131857, 18.682419, 19.775664, 20.691031, 24.310370, 24.628524, 25.782444, 29.106679, 29.487908, 69.110023], [12.685786, 13.547945, 14.026243, 14.339490, 15.260385, 16.562399, 16.637217, 19.111666, 19.794990, 48.078853]]
### 6
fourier: [[17.899547, 18.913462, 19.009170, 19.946595, 20.664067, 20.949527, 22.683945, 23.879698, 25.562112, 95.432074], [2.970675, 2.982291, 3.030600, 3.177511, 3.303805, 3.392949, 3.649867, 4.363084, 4.583942, 6.570695], [12.081327, 12.324427, 12.426998, 13.141570, 13.447166, 13.686304, 14.897491, 15.267159, 16.488525, 75.029248], [13.607728, 13.703974, 14.109709, 14.205388, 14.918057, 14.940834, 15.207675, 19.130714, 19.743604, 45.937874], [1.373667, 1.570244, 1.609544, 1.821495, 1.906584, 1.920582, 2.156451, 2.199205, 2.271484, 28.784986], [15.471663, 16.315756, 16.991798, 17.287305, 17.889302, 17.951512, 18.446340, 21.303713, 22.482033, 74.610778]]
### 8
fourier: [[11.773947, 12.131563, 12.789371, 12.863879, 13.357044, 13.725428, 13.895531, 14.847105, 16.072218, 17.023668], [0.490135, 0.502878, 0.525785, 0.530643, 0.552866, 0.578982, 0.738619, 0.756268, 1.217612, 39.988936], [7.023106, 7.037377, 7.552176, 7.947676, 8.049941, 8.235721, 8.238528, 8.570057, 9.947140, 10.498499], [8.562607, 9.222341, 9.292997, 9.551128, 9.825656, 9.958995, 10.375604, 11.689463, 12.309971, 38.537698], [23.817243, 25.456980, 25.593236, 26.505656, 27.304023, 27.609386, 28.865555, 32.016470, 34.051977, 117.056007], [4.883828, 4.987755, 5.099203, 5.149972, 5.344815, 5.393106, 5.416273, 6.748694, 7.033087, 74.640663]]
### 10
fourier: [[17.979334, 18.329938, 19.793793, 20.270484, 20.533910, 20.842220, 21.174943, 24.922651, 27.293779, 64.919332], [8.567677, 8.868835, 9.914870, 10.466077, 10.489289, 11.698971, 11.889509, 13.492777, 15.695171, 67.589966], [10.735831, 11.533945, 11.646717, 12.473571, 12.861109, 13.045939, 13.329118, 15.755148, 17.389868, 44.588368], [5.241684, 5.416252, 5.504919, 5.753694, 5.858214, 5.903417, 6.666708, 6.700856, 6.974533, 19.120098], [5.996187, 6.409272, 7.253855, 7.408401, 7.617449, 8.296728, 8.454245, 9.648926, 11.089166, 70.376650], [4.622914, 4.936122, 5.050580, 5.324531, 5.534834, 5.654130, 5.830469, 6.687245, 7.504835, 7.739318]]
### 12
fourier: [[20.332449, 21.654990, 24.173164, 25.506883, 25.734240, 28.706427, 29.217823, 31.774342, 38.400460, 134.983903]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.067276280729235, 18.686584183729366, 19.91142490660835, 20.20722224322545, 20.22042833605962, 22.796288235632844, 22.858115853857168, 25.161610439709197, 29.620446557740493, 54.915011405944824]}, "1": {"fourier": [12.689862190355155, 12.734354345563892, 12.822497533191383, 13.081746762390175, 13.368196484791433, 14.621745735456027, 19.019597743156805, 19.518334387824467, 20.009379746186767, 63.595552548766136]}, "2": {"fourier": [16.074931968534205, 16.48808893611075, 16.49865417719318, 18.79056469874529, 19.506624056824318, 19.655049736085346, 19.753820542711114, 21.248842777821388, 25.608508450054035, 47.210362166166306]}, "3": {"fourier": [19.11019875094365, 19.64166402949305, 20.03419742343128, 20.512170546295987, 22.04666780404794, 22.77643527578057, 23.647846208411586, 24.66672307046697, 26.647956058382988, 27.149080379674494]}, "4": {"fourier": [26.836514136700465, 26.875975810849745, 27.46187478247555, 27.573164709163983, 28.04234651440475, 28.888991839257166, 29.820115795745355, 37.83686825322283, 42.995425368976186, 46.089970380067825]}, "5": {"fourier": [22.45755843468569, 22.677827333967766, 25.741207718623023, 25.974693563911153, 26.918303030608392, 27.047622675468183, 27.434624430295234, 28.727791563183466, 30.467321261197366, 88.09035938233137]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [17.43841783372934, 18.72900848808486, 19.039851479251872, 20.536028669097437, 20.73500979260962, 21.908126522558472, 23.360020448738638, 24.00662075764119, 27.68382687776882, 99.2719491943717]}, "1": {"fourier": [16.237712584632913, 16.43840782143671, 17.53530239862263, 18.741903560057423, 19.50229123315828, 20.32892697211239, 21.518293090593996, 21.77257043905169, 28.375456139496347, 71.42105900123715]}, "2": {"fourier": [8.447265365025233, 8.894202870227907, 9.816412018027647, 10.284376327657386, 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{"fourier": [5.996186982226339, 6.4092719971077825, 7.253855136441042, 7.4084013325030735, 7.617449439916786, 8.296727695704497, 8.454245084637236, 9.648925604206308, 11.089166362885518, 70.37664985656738]}, "5": {"fourier": [4.6229144362059635, 4.936121818379536, 5.050579818746122, 5.324530519676035, 5.534833758554327, 5.654129707590403, 5.830468653013355, 6.687244848472824, 7.504834701991381, 7.7393180429935455]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [20.332448646578083, 21.654990286790934, 24.173163703638348, 25.506883413087433, 25.734240185524232, 28.706426842668197, 29.217823305873527, 31.774342072011745, 38.40046006058456, 134.98390270769596]}}, "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": 6, "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": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.320691, 0.080443, 0.280644, -0.357499, 0.27197], [-0.409818, 0.151886, -0.112566, -0.280505, -0.015926], [-0.268469, 0.233622, 0.384617, 0.063975, -0.516391], [0.688033, 0.102557, -0.397726, 0.012198, -0.206008], [0.100362, 0.45065, 0.022913, 0.227323, -1.01498], [-0.520832, 0.426532, 0.334711, -0.652331, -0.358143]], "network.0.bias": [-0.090528, 0.382918, 0.129215, -0.280464, 0.282496, 0.033553], "network.2.weight": [[0.068945, 0.126186, 0.609468, -0.475583, 0.675488, 0.490255], [-0.425888, 0.30771, 0.527477, 0.081452, 0.623692, 0.13659], [0.308252, -0.022691, 0.082925, 0.179739, -0.498485, 0.305603], [0.312768, 0.155367, 0.199333, -0.60417, -0.560189, 0.053376], [0.222033, -0.314666, -0.187571, 0.16611, 0.445494, -0.203408], [0.240745, -0.2048, 0.10982, 0.524463, -0.397081, 0.095401]], "network.2.bias": [-0.169313, -0.057178, -0.079937, 0.566756, -0.127076, 0.423448], "network.4.weight": [[-0.052144, 0.135641, -0.085073, 0.001733, 0.554061, 0.274737], [-0.468127, 0.421384, -0.310446, -0.32914, -0.30221, 0.336367], [-0.030948, -0.505834, -0.459835, 0.158725, -0.357541, 0.153167], [-0.215348, 0.14987, 0.289566, 0.072697, -0.067639, 0.051149], [0.594389, 0.539791, -0.443044, -0.219482, -0.478185, -0.263027], [0.494983, 0.235027, 0.097988, -0.393726, -0.290207, -0.195437]], "network.4.bias": [-0.472282, -0.018816, -0.488957, -0.215644, 0.127197, 0.143309], "network.6.weight": [[-0.066089, 0.349373, 0.068663, -0.462352, 0.618955, 0.626337], [0.420272, 0.263277, 0.335321, -0.210953, 0.204752, -0.06486], [-0.027564, 0.041214, 0.448536, 0.026365, -0.42795, -0.370546], [-0.507837, 0.205693, -0.26374, 0.37831, 0.396809, 0.541106], [-0.122942, 0.058636, 0.113348, -0.377735, 0.03849, -0.186432], [-0.273661, 0.46297, 0.26477, 0.371368, 0.734647, 0.267457]], "network.6.bias": [0.038365, -0.282737, -0.157061, -0.169229, -0.205743, -0.043635], "network.8.weight": [[-0.167546, -0.000157, -0.152416, -0.332719, -0.34713, -0.33028], [0.088869, -0.268781, -0.040745, -0.063785, -0.196557, -0.055478], [-0.057132, 0.18353, -0.225959, 0.27107, 0.193807, -0.636505], [-0.030876, 0.099895, -0.159525, -0.218139, 0.040434, -0.367939], [0.609907, -0.264271, -0.172527, 0.620836, -0.158535, 0.387635], [0.03761, 0.365465, -0.35964, -0.030319, -0.015368, -0.365209]], "network.8.bias": [0.775363, -0.428609, 0.449144, 0.04945, -0.051478, -0.567939], "network.10.weight": [[-0.471144, -0.160027, -0.478212, -0.026794, 0.63302, 0.021118], [0.86424, -0.086437, 0.564655, 0.067176, -0.178167, 0.084219], [0.38536, 0.023164, 0.482288, 0.383135, -0.353397, 0.323532], [0.196986, -0.36217, -0.07673, 0.210018, 0.243851, 0.259064], [0.599659, -0.304085, 0.23617, 0.251026, -0.149464, -0.07842], [0.279733, 0.169474, 0.081234, -0.066929, -0.146264, -0.093795]], "network.10.bias": [0.21512, 0.46451, 0.662897, -0.180152, 0.651189, 0.136811], "network.12.weight": [[0.430987, -0.548288, -0.643818, 0.390967, -0.827805, -0.135904]], "network.12.bias": [-0.402203]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6837392747402191, "train_acc": 0.57, "val_loss": 0.7026306986808777, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6786130964756012, "train_acc": 0.57, "val_loss": 0.6951879262924194, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6583016812801361, "train_acc": 0.64, "val_loss": 0.6823011636734009, "val_acc": 0.6}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.627411812543869, "train_acc": 0.705, "val_loss": 0.6431704759597778, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.58360356092453, "train_acc": 0.725, "val_loss": 0.5964406728744507, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5414160788059235, "train_acc": 0.74, "val_loss": 0.5722790360450745, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4971081465482712, "train_acc": 0.77, "val_loss": 0.5108091831207275, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.45517949759960175, "train_acc": 0.815, "val_loss": 0.4550800025463104, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.40977130830287933, "train_acc": 0.825, "val_loss": 0.4203529357910156, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.41353149712085724, "train_acc": 0.845, "val_loss": 0.3742083013057709, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3355591297149658, "train_acc": 0.865, "val_loss": 0.3724857270717621, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2934417873620987, "train_acc": 0.875, "val_loss": 0.3819900453090668, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2933933883905411, "train_acc": 0.885, "val_loss": 0.348834753036499, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3101603835821152, "train_acc": 0.875, "val_loss": 0.3240678012371063, "val_acc": 0.86}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7026306986808777, "final_val_loss": 0.6431704759597778, "initial_val_acc": 0.48, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.5964406728744507, "final_val_loss": 0.3240678012371063, "initial_val_acc": 0.66, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 9}, "improvement": 0.19999999999999996, "first_improvement_epoch": 3}}
|
184
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.38, "improved_accuracy": 0.8, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2398, "learning_rate": 0.05733021425561303, "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: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.327662,
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-0.060229,
0.996216
],
[
0.414863,
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0.546869,
0.63548,
0.056225
],
[
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0.213275,
1.088267
],
[
0.63344,
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0.031763,
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],
[
-0.406369,
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-0.102325,
1.105075
]
],
"network.0.bias": [
0.24025,
0.166315,
0.451354,
0.55648,
0.512647
],
"network.2.weight": [
[
0.407396,
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1.182156,
0.373787,
0.579367
],
[
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-0.994958,
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],
[
-0.277373,
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0.135707,
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],
[
0.114575,
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1.220134,
0.056203,
0.531975
],
[
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0.615278,
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]
],
"network.2.bias": [
0.309158,
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0.21672,
-0.371258,
-0.03901
],
"network.4.weight": [
[
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],
[
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0.367519,
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],
[
0.352065,
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],
[
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],
[
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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],
[
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],
[
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],
[
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],
[
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]
],
"network.6.bias": [
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],
"network.8.weight": [
[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[22.099836, 24.048237, 24.328930, 24.520392, 25.260494, 25.401791, 29.664220, 30.940969, 37.306921, 46.559872], [24.159142, 24.507820, 26.211167, 28.074334, 28.089497, 29.606254, 32.372620, 32.662534, 37.948249, 265.658603], [26.037688, 27.459482, 30.871006, 31.112999, 31.125437, 33.126673, 38.475276, 39.311984, 45.251149, 188.920228], [25.523917, 26.296100, 26.499486, 26.514440, 28.539984, 31.189142, 32.008126, 38.465729, 41.143820, 275.273654], [26.670215, 27.251522, 27.566660, 27.837820, 28.123230, 31.577820, 32.655564, 39.671684, 39.832637, 41.109042]]
### 2
fourier: [[44.182411, 44.418081, 44.792647, 52.770053, 53.191092, 62.121248, 66.782001, 74.074572, 87.331593, 424.842126], [40.843052, 42.313611, 44.238867, 45.680642, 46.204255, 48.835325, 50.754564, 52.234903, 55.609562, 83.324337], [14.842508, 15.384557, 15.817761, 16.717234, 16.904072, 19.554933, 23.982839, 26.638855, 26.805333, 157.768922], [39.431435, 42.164322, 45.264245, 45.443106, 49.240005, 54.184941, 59.585262, 61.483930, 74.169449, 256.135303], [37.371680, 38.334964, 42.122498, 42.408144, 42.887910, 44.906375, 48.523913, 48.698036, 51.976441, 57.517111]]
### 4
fourier: [[11.891857, 12.299474, 14.143377, 14.182080, 17.397730, 18.386773, 19.601420, 20.946546, 25.111759, 201.188069], [46.055792, 46.518139, 46.901766, 47.451782, 48.045293, 48.572090, 54.741519, 55.687769, 56.044674, 62.689735], [54.781330, 60.319456, 62.560885, 62.885842, 64.758053, 64.996917, 66.173461, 67.268450, 67.784145, 85.432936], [7.312948, 7.452768, 8.038573, 8.458497, 8.786456, 9.581171, 10.633939, 11.583757, 12.341713, 101.930112], [14.681834, 16.111349, 16.520772, 17.058760, 17.812665, 19.282677, 23.116865, 24.343947, 30.309385, 185.357058]]
### 6
fourier: [[20.982861, 21.780209, 23.078700, 25.840445, 25.936291, 26.454705, 29.357346, 32.845531, 38.923629, 114.594509], [24.777004, 25.734732, 27.431013, 30.334493, 30.989139, 31.389826, 34.590683, 38.563645, 45.901653, 106.337754], [12.120371, 12.595012, 13.514208, 14.740400, 15.354516, 15.435289, 16.877182, 18.739633, 22.416419, 80.210221], [46.788949, 48.622324, 52.191878, 56.879812, 59.319553, 59.604226, 65.141231, 72.311680, 86.525845, 199.531356], [41.794409, 43.427220, 46.527753, 50.905396, 52.796891, 53.164245, 58.231918, 64.717109, 77.328625, 174.375003]]
### 8
fourier: [[73.480783, 75.039721, 80.264481, 87.543915, 91.308142, 92.794746, 99.821099, 112.225940, 133.989202, 307.184419]]
## 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: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.327662,
-0.120704,
-0.093217,
-0.060229,
0.996216
],
[
0.414863,
-0.167527,
0.546869,
0.63548,
0.056225
],
[
-0.521408,
0.084478,
0.164265,
0.213275,
1.088267
],
[
0.63344,
0.386817,
0.031763,
0.471093,
-0.054821
],
[
-0.406369,
-0.306736,
-0.071288,
-0.102325,
1.105075
]
],
"network.0.bias": [
0.24025,
0.166315,
0.451354,
0.55648,
0.512647
],
"network.2.weight": [
[
0.407396,
-0.110923,
1.182156,
0.373787,
0.579367
],
[
-0.436377,
0.301524,
-0.994958,
0.740682,
-0.055844
],
[
-0.277373,
-0.389493,
0.135707,
-0.152802,
-0.377135
],
[
0.114575,
-0.105507,
1.220134,
0.056203,
0.531975
],
[
-0.197194,
0.374377,
-0.735209,
0.615278,
-0.480253
]
],
"network.2.bias": [
0.309158,
0.433014,
0.21672,
-0.371258,
-0.03901
],
"network.4.weight": [
[
-0.227098,
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0.259814,
-0.067439,
-0.035453
],
[
0.195235,
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-0.212148,
0.367519,
-0.618421
],
[
0.352065,
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0.238944,
0.469982,
-0.457141
],
[
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0.072115,
0.208165
],
[
-0.059836,
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-0.38075
]
],
"network.4.bias": [
-0.18696,
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-0.423392,
-0.039096,
0.027495
],
"network.6.weight": [
[
0.214316,
0.069624,
-0.617945,
0.024563,
0.295095
],
[
0.435007,
0.133216,
0.580338,
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],
[
-0.435218,
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],
[
0.086172,
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],
[
-0.199539,
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]
],
"network.6.bias": [
-0.170572,
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-0.245887,
-0.275227,
-0.284483
],
"network.8.weight": [
[
0.270074,
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-0.232573,
-0.783939,
-0.630606
]
],
"network.8.bias": [
0.312495
]
}
## Activation Signature
### 0
fourier: [[22.099836, 24.048237, 24.328930, 24.520392, 25.260494, 25.401791, 29.664220, 30.940969, 37.306921, 46.559872], [24.159142, 24.507820, 26.211167, 28.074334, 28.089497, 29.606254, 32.372620, 32.662534, 37.948249, 265.658603], [26.037688, 27.459482, 30.871006, 31.112999, 31.125437, 33.126673, 38.475276, 39.311984, 45.251149, 188.920228], [25.523917, 26.296100, 26.499486, 26.514440, 28.539984, 31.189142, 32.008126, 38.465729, 41.143820, 275.273654], [26.670215, 27.251522, 27.566660, 27.837820, 28.123230, 31.577820, 32.655564, 39.671684, 39.832637, 41.109042]]
### 2
fourier: [[44.182411, 44.418081, 44.792647, 52.770053, 53.191092, 62.121248, 66.782001, 74.074572, 87.331593, 424.842126], [40.843052, 42.313611, 44.238867, 45.680642, 46.204255, 48.835325, 50.754564, 52.234903, 55.609562, 83.324337], [14.842508, 15.384557, 15.817761, 16.717234, 16.904072, 19.554933, 23.982839, 26.638855, 26.805333, 157.768922], [39.431435, 42.164322, 45.264245, 45.443106, 49.240005, 54.184941, 59.585262, 61.483930, 74.169449, 256.135303], [37.371680, 38.334964, 42.122498, 42.408144, 42.887910, 44.906375, 48.523913, 48.698036, 51.976441, 57.517111]]
### 4
fourier: [[11.891857, 12.299474, 14.143377, 14.182080, 17.397730, 18.386773, 19.601420, 20.946546, 25.111759, 201.188069], [46.055792, 46.518139, 46.901766, 47.451782, 48.045293, 48.572090, 54.741519, 55.687769, 56.044674, 62.689735], [54.781330, 60.319456, 62.560885, 62.885842, 64.758053, 64.996917, 66.173461, 67.268450, 67.784145, 85.432936], [7.312948, 7.452768, 8.038573, 8.458497, 8.786456, 9.581171, 10.633939, 11.583757, 12.341713, 101.930112], [14.681834, 16.111349, 16.520772, 17.058760, 17.812665, 19.282677, 23.116865, 24.343947, 30.309385, 185.357058]]
### 6
fourier: [[20.982861, 21.780209, 23.078700, 25.840445, 25.936291, 26.454705, 29.357346, 32.845531, 38.923629, 114.594509], [24.777004, 25.734732, 27.431013, 30.334493, 30.989139, 31.389826, 34.590683, 38.563645, 45.901653, 106.337754], [12.120371, 12.595012, 13.514208, 14.740400, 15.354516, 15.435289, 16.877182, 18.739633, 22.416419, 80.210221], [46.788949, 48.622324, 52.191878, 56.879812, 59.319553, 59.604226, 65.141231, 72.311680, 86.525845, 199.531356], [41.794409, 43.427220, 46.527753, 50.905396, 52.796891, 53.164245, 58.231918, 64.717109, 77.328625, 174.375003]]
### 8
fourier: [[73.480783, 75.039721, 80.264481, 87.543915, 91.308142, 92.794746, 99.821099, 112.225940, 133.989202, 307.184419]]
## 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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307.184418797493]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "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": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.327662, -0.120704, -0.093217, -0.060229, 0.996216], [0.414863, -0.167527, 0.546869, 0.63548, 0.056225], [-0.521408, 0.084478, 0.164265, 0.213275, 1.088267], [0.63344, 0.386817, 0.031763, 0.471093, -0.054821], [-0.406369, -0.306736, -0.071288, -0.102325, 1.105075]], "network.0.bias": [0.24025, 0.166315, 0.451354, 0.55648, 0.512647], "network.2.weight": [[0.407396, -0.110923, 1.182156, 0.373787, 0.579367], [-0.436377, 0.301524, -0.994958, 0.740682, -0.055844], [-0.277373, -0.389493, 0.135707, -0.152802, -0.377135], [0.114575, -0.105507, 1.220134, 0.056203, 0.531975], [-0.197194, 0.374377, -0.735209, 0.615278, -0.480253]], "network.2.bias": [0.309158, 0.433014, 0.21672, -0.371258, -0.03901], "network.4.weight": [[-0.227098, -0.416432, 0.259814, -0.067439, -0.035453], [0.195235, -0.553236, -0.212148, 0.367519, -0.618421], [0.352065, -0.777204, 0.238944, 0.469982, -0.457141], [-0.227424, -0.309952, -0.203444, 0.072115, 0.208165], [-0.059836, -0.330831, -0.348158, -0.225669, -0.38075]], "network.4.bias": [-0.18696, -0.009889, -0.423392, -0.039096, 0.027495], "network.6.weight": [[0.214316, 0.069624, -0.617945, 0.024563, 0.295095], [0.435007, 0.133216, 0.580338, -0.182516, -0.121043], [-0.435218, -0.182892, -0.202205, -0.437452, -0.395046], [0.086172, 0.73379, 0.761312, 0.321533, 0.390038], [-0.199539, 0.539808, 0.76032, 0.32139, -0.181397]], "network.6.bias": [-0.170572, -0.128789, -0.245887, -0.275227, -0.284483], "network.8.weight": [[0.270074, -0.444037, -0.232573, -0.783939, -0.630606]], "network.8.bias": [0.312495]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6806655824184418, "train_acc": 0.61, "val_loss": 0.7444833517074585, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6122855842113495, "train_acc": 0.61, "val_loss": 0.7137806415557861, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5346544086933136, "train_acc": 0.61, "val_loss": 0.6595369577407837, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5093740224838257, "train_acc": 0.53, "val_loss": 0.6707206964492798, "val_acc": 0.38}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.48722508549690247, "train_acc": 0.53, "val_loss": 0.5887408256530762, "val_acc": 0.38}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4658464044332504, "train_acc": 0.63, "val_loss": 0.5687426924705505, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4609542638063431, "train_acc": 0.79, "val_loss": 0.549464762210846, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.43567368388175964, "train_acc": 0.795, "val_loss": 0.5254944562911987, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4244496375322342, "train_acc": 0.825, "val_loss": 0.6667357087135315, "val_acc": 0.66}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4808809757232666, "train_acc": 0.765, "val_loss": 0.5094929337501526, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4384910613298416, "train_acc": 0.79, "val_loss": 0.5049686431884766, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.42159366607666016, "train_acc": 0.785, "val_loss": 0.5033000707626343, "val_acc": 0.78}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.4310135096311569, "train_acc": 0.78, "val_loss": 0.5020174980163574, "val_acc": 0.78}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7444833517074585, "final_val_loss": 0.6595369577407837, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.6707206964492798, "final_val_loss": 0.5020174980163574, "initial_val_acc": 0.38, "final_val_acc": 0.78, "best_val_acc": 0.8, "best_epoch": 7}, "improvement": 0.42000000000000004, "first_improvement_epoch": 2}}
|
185
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.42, "improved_accuracy": 0.7, "improvement": 0.27999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8397, "learning_rate": 0.06117443422661078, "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: 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: [[22.726231, 22.843109, 24.121266, 24.606592, 25.239685, 25.751379, 25.847893, 26.299928, 28.365748, 49.801458], [24.564771, 26.115974, 26.376363, 26.663871, 27.306106, 27.779981, 34.023838, 34.522812, 38.416084, 42.916153], [37.297822, 37.644794, 38.548771, 38.552784, 38.770940, 40.284030, 40.373320, 42.137479, 55.032824, 66.715245], [25.302104, 25.589093, 26.207205, 26.768631, 27.563498, 29.526418, 31.217734, 31.515111, 33.587901, 83.699829], [20.824108, 20.955144, 21.124960, 22.106695, 22.876005, 24.374367, 25.344183, 31.639870, 32.217529, 237.028248], [22.717540, 23.485531, 23.628788, 23.896712, 26.325079, 26.764556, 28.921935, 30.489972, 33.684788, 74.981549], [21.863635, 21.879209, 23.004766, 24.565884, 27.069586, 28.126591, 29.101131, 29.199682, 30.851263, 31.215244], [32.370933, 32.438867, 33.564829, 33.736831, 40.253272, 41.257490, 44.294983, 45.519234, 62.358305, 329.722115]]
### 2
fourier: [[8.096096, 8.169561, 9.789251, 10.964639, 10.969096, 11.234570, 11.524246, 13.439322, 14.526310, 81.765608], [24.048602, 25.593743, 28.293934, 28.319146, 32.194751, 32.827740, 35.495049, 35.862089, 40.911428, 120.713440], [26.155906, 26.896342, 27.204681, 27.342521, 28.304679, 29.036104, 33.951828, 38.702297, 46.632237, 125.635971], [18.797629, 19.241603, 19.519701, 23.927344, 25.141826, 25.144898, 26.760903, 28.764725, 29.448285, 96.728653], [27.832982, 28.332270, 28.856406, 28.921766, 28.930624, 30.031246, 31.822412, 38.031255, 46.544082, 83.785425], [13.157107, 14.156117, 14.246246, 14.333609, 14.569956, 15.807305, 16.899147, 18.193706, 20.940353, 25.561181], [7.284851, 7.518011, 7.670369, 7.955836, 8.268211, 9.141003, 9.211819, 9.837887, 12.669792, 79.494776], [26.196823, 27.208556, 29.330620, 32.633701, 34.211211, 34.741261, 37.212896, 40.591345, 44.502457, 146.217620]]
### 4
fourier: [[11.406961, 12.870771, 13.252511, 13.559038, 13.736743, 13.892093, 14.435963, 17.822543, 20.493396, 98.019282], [19.423650, 19.941752, 21.121446, 23.323137, 25.676106, 27.278135, 27.430536, 28.480136, 31.808152, 132.862456], [30.857946, 34.955701, 35.060228, 37.800076, 40.506426, 47.222493, 48.363273, 50.198205, 62.604530, 116.644152], [29.035162, 29.226086, 29.484368, 29.518050, 37.673180, 42.161609, 46.465958, 51.376056, 57.087175, 65.242733], [13.249124, 13.265176, 13.824442, 14.191935, 16.665714, 16.892823, 19.327037, 19.670830, 23.383152, 138.307500], [57.228526, 57.421203, 59.200612, 59.939852, 63.599909, 64.614786, 72.511862, 82.342874, 99.962900, 277.039075], [46.561637, 46.698725, 46.888063, 48.213118, 51.284837, 53.905616, 54.890266, 66.173392, 81.127855, 276.074134], [11.898253, 12.293950, 12.666824, 13.993211, 15.782859, 19.061982, 20.044482, 21.274718, 27.532707, 31.343976]]
### 6
fourier: [[44.077432, 46.274994, 51.286651, 57.985462, 58.269326, 58.547162, 58.660800, 61.412428, 82.284378, 264.907218], [6.373667, 6.374412, 6.974980, 7.208811, 8.054937, 8.124311, 10.757958, 11.271582, 12.273510, 37.452388], [56.333903, 57.331453, 58.141835, 67.291393, 67.499118, 70.578715, 74.550434, 84.642993, 106.418825, 308.239476], [25.903181, 29.419625, 29.524355, 30.109211, 30.624791, 31.930625, 36.904887, 41.983963, 46.774343, 47.091680], [24.077445, 24.136965, 24.237486, 26.944673, 30.697038, 31.151175, 31.528665, 32.956434, 35.835276, 128.290079], [21.032657, 23.264986, 23.645959, 26.038226, 26.835753, 27.299529, 28.662695, 31.660466, 41.038685, 151.494720], [26.368651, 26.495722, 27.271068, 29.295056, 30.303835, 30.987550, 33.007014, 38.565287, 47.731320, 192.764206], [25.345176, 26.779294, 28.525505, 32.988385, 34.306276, 34.875308, 35.678357, 37.495620, 47.506929, 221.859223]]
### 8
fourier: [[42.661396, 42.892900, 47.539208, 54.757404, 56.470255, 56.841922, 57.697792, 58.311300, 78.168003, 270.194976], [11.885971, 12.003639, 13.559168, 15.109848, 15.453323, 15.470646, 15.614503, 15.824335, 21.391664, 69.800373], [36.834875, 39.245752, 39.723716, 47.267133, 48.030528, 48.572511, 49.730247, 55.855125, 71.772298, 242.053186], [20.324171, 20.437489, 20.817099, 23.228030, 23.539378, 24.369413, 25.958460, 30.072992, 37.510734, 133.217375], [37.461307, 38.947311, 39.248836, 46.573418, 47.596896, 48.542993, 50.127371, 56.825849, 72.200225, 211.841118], [21.448272, 23.574273, 23.818556, 26.360251, 26.400874, 27.115130, 28.796927, 32.248918, 41.394675, 162.932530], [43.679919, 43.854920, 48.474495, 56.820577, 57.896166, 58.326265, 58.518649, 60.101562, 80.440744, 206.151897], [54.444180, 58.051299, 62.922546, 70.097452, 73.239500, 73.665011, 74.199425, 76.007010, 99.429483, 326.885264]]
### 10
fourier: [[32.788482, 34.797829, 38.581267, 42.419859, 43.910386, 44.803749, 45.223977, 45.889574, 59.833403, 198.021658], [12.277599, 13.187406, 13.350502, 16.554654, 16.581190, 16.652201, 16.776260, 18.253468, 24.487986, 91.421210], [26.621518, 28.255442, 30.917009, 35.708686, 36.330603, 36.902334, 37.094272, 40.124881, 51.783936, 164.426629], [4.235367, 5.305939, 5.576805, 5.611285, 5.628034, 6.359826, 6.414008, 6.679654, 7.665648, 10.492269], [29.018429, 29.663699, 32.894551, 37.299145, 38.347680, 38.931678, 39.648567, 39.793682, 53.059388, 189.579225], [28.652416, 30.399346, 32.979530, 38.550043, 38.970049, 39.598101, 39.820506, 42.776853, 55.719695, 163.334774], [31.991499, 35.203529, 36.211858, 44.140617, 44.626323, 44.713664, 44.747007, 48.697988, 64.580821, 242.627236], [31.567738, 32.683612, 36.660890, 41.635729, 42.199393, 43.205684, 43.589942, 46.632104, 59.831727, 189.276806]]
### 12
fourier: [[30.060791, 30.398958, 34.071150, 39.149520, 39.380219, 40.432991, 40.899586, 42.704344, 55.725663, 111.462087]]
## 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: 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: [[22.726231, 22.843109, 24.121266, 24.606592, 25.239685, 25.751379, 25.847893, 26.299928, 28.365748, 49.801458], [24.564771, 26.115974, 26.376363, 26.663871, 27.306106, 27.779981, 34.023838, 34.522812, 38.416084, 42.916153], [37.297822, 37.644794, 38.548771, 38.552784, 38.770940, 40.284030, 40.373320, 42.137479, 55.032824, 66.715245], [25.302104, 25.589093, 26.207205, 26.768631, 27.563498, 29.526418, 31.217734, 31.515111, 33.587901, 83.699829], [20.824108, 20.955144, 21.124960, 22.106695, 22.876005, 24.374367, 25.344183, 31.639870, 32.217529, 237.028248], [22.717540, 23.485531, 23.628788, 23.896712, 26.325079, 26.764556, 28.921935, 30.489972, 33.684788, 74.981549], [21.863635, 21.879209, 23.004766, 24.565884, 27.069586, 28.126591, 29.101131, 29.199682, 30.851263, 31.215244], [32.370933, 32.438867, 33.564829, 33.736831, 40.253272, 41.257490, 44.294983, 45.519234, 62.358305, 329.722115]]
### 2
fourier: [[8.096096, 8.169561, 9.789251, 10.964639, 10.969096, 11.234570, 11.524246, 13.439322, 14.526310, 81.765608], [24.048602, 25.593743, 28.293934, 28.319146, 32.194751, 32.827740, 35.495049, 35.862089, 40.911428, 120.713440], [26.155906, 26.896342, 27.204681, 27.342521, 28.304679, 29.036104, 33.951828, 38.702297, 46.632237, 125.635971], [18.797629, 19.241603, 19.519701, 23.927344, 25.141826, 25.144898, 26.760903, 28.764725, 29.448285, 96.728653], [27.832982, 28.332270, 28.856406, 28.921766, 28.930624, 30.031246, 31.822412, 38.031255, 46.544082, 83.785425], [13.157107, 14.156117, 14.246246, 14.333609, 14.569956, 15.807305, 16.899147, 18.193706, 20.940353, 25.561181], [7.284851, 7.518011, 7.670369, 7.955836, 8.268211, 9.141003, 9.211819, 9.837887, 12.669792, 79.494776], [26.196823, 27.208556, 29.330620, 32.633701, 34.211211, 34.741261, 37.212896, 40.591345, 44.502457, 146.217620]]
### 4
fourier: [[11.406961, 12.870771, 13.252511, 13.559038, 13.736743, 13.892093, 14.435963, 17.822543, 20.493396, 98.019282], [19.423650, 19.941752, 21.121446, 23.323137, 25.676106, 27.278135, 27.430536, 28.480136, 31.808152, 132.862456], [30.857946, 34.955701, 35.060228, 37.800076, 40.506426, 47.222493, 48.363273, 50.198205, 62.604530, 116.644152], [29.035162, 29.226086, 29.484368, 29.518050, 37.673180, 42.161609, 46.465958, 51.376056, 57.087175, 65.242733], [13.249124, 13.265176, 13.824442, 14.191935, 16.665714, 16.892823, 19.327037, 19.670830, 23.383152, 138.307500], [57.228526, 57.421203, 59.200612, 59.939852, 63.599909, 64.614786, 72.511862, 82.342874, 99.962900, 277.039075], [46.561637, 46.698725, 46.888063, 48.213118, 51.284837, 53.905616, 54.890266, 66.173392, 81.127855, 276.074134], [11.898253, 12.293950, 12.666824, 13.993211, 15.782859, 19.061982, 20.044482, 21.274718, 27.532707, 31.343976]]
### 6
fourier: [[44.077432, 46.274994, 51.286651, 57.985462, 58.269326, 58.547162, 58.660800, 61.412428, 82.284378, 264.907218], [6.373667, 6.374412, 6.974980, 7.208811, 8.054937, 8.124311, 10.757958, 11.271582, 12.273510, 37.452388], [56.333903, 57.331453, 58.141835, 67.291393, 67.499118, 70.578715, 74.550434, 84.642993, 106.418825, 308.239476], [25.903181, 29.419625, 29.524355, 30.109211, 30.624791, 31.930625, 36.904887, 41.983963, 46.774343, 47.091680], [24.077445, 24.136965, 24.237486, 26.944673, 30.697038, 31.151175, 31.528665, 32.956434, 35.835276, 128.290079], [21.032657, 23.264986, 23.645959, 26.038226, 26.835753, 27.299529, 28.662695, 31.660466, 41.038685, 151.494720], [26.368651, 26.495722, 27.271068, 29.295056, 30.303835, 30.987550, 33.007014, 38.565287, 47.731320, 192.764206], [25.345176, 26.779294, 28.525505, 32.988385, 34.306276, 34.875308, 35.678357, 37.495620, 47.506929, 221.859223]]
### 8
fourier: [[42.661396, 42.892900, 47.539208, 54.757404, 56.470255, 56.841922, 57.697792, 58.311300, 78.168003, 270.194976], [11.885971, 12.003639, 13.559168, 15.109848, 15.453323, 15.470646, 15.614503, 15.824335, 21.391664, 69.800373], [36.834875, 39.245752, 39.723716, 47.267133, 48.030528, 48.572511, 49.730247, 55.855125, 71.772298, 242.053186], [20.324171, 20.437489, 20.817099, 23.228030, 23.539378, 24.369413, 25.958460, 30.072992, 37.510734, 133.217375], [37.461307, 38.947311, 39.248836, 46.573418, 47.596896, 48.542993, 50.127371, 56.825849, 72.200225, 211.841118], [21.448272, 23.574273, 23.818556, 26.360251, 26.400874, 27.115130, 28.796927, 32.248918, 41.394675, 162.932530], [43.679919, 43.854920, 48.474495, 56.820577, 57.896166, 58.326265, 58.518649, 60.101562, 80.440744, 206.151897], [54.444180, 58.051299, 62.922546, 70.097452, 73.239500, 73.665011, 74.199425, 76.007010, 99.429483, 326.885264]]
### 10
fourier: [[32.788482, 34.797829, 38.581267, 42.419859, 43.910386, 44.803749, 45.223977, 45.889574, 59.833403, 198.021658], [12.277599, 13.187406, 13.350502, 16.554654, 16.581190, 16.652201, 16.776260, 18.253468, 24.487986, 91.421210], [26.621518, 28.255442, 30.917009, 35.708686, 36.330603, 36.902334, 37.094272, 40.124881, 51.783936, 164.426629], [4.235367, 5.305939, 5.576805, 5.611285, 5.628034, 6.359826, 6.414008, 6.679654, 7.665648, 10.492269], [29.018429, 29.663699, 32.894551, 37.299145, 38.347680, 38.931678, 39.648567, 39.793682, 53.059388, 189.579225], [28.652416, 30.399346, 32.979530, 38.550043, 38.970049, 39.598101, 39.820506, 42.776853, 55.719695, 163.334774], [31.991499, 35.203529, 36.211858, 44.140617, 44.626323, 44.713664, 44.747007, 48.697988, 64.580821, 242.627236], [31.567738, 32.683612, 36.660890, 41.635729, 42.199393, 43.205684, 43.589942, 46.632104, 59.831727, 189.276806]]
### 12
fourier: [[30.060791, 30.398958, 34.071150, 39.149520, 39.380219, 40.432991, 40.899586, 42.704344, 55.725663, 111.462087]]
## 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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"layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [30.06079085216236, 30.398958461967336, 34.07114965239386, 39.14951963525898, 39.380218592752385, 40.43299051628802, 40.899586333262974, 42.704344138590194, 55.72566306019967, 111.4620871245861]}}, "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": 8, "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": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.415317, -0.694003, -0.452367, 0.296927, 0.342289], [0.641215, -1.181604, 0.181745, 0.097253, -0.109084], [1.085191, -1.085112, 0.080494, -0.336832, 0.428873], [0.481578, -1.069131, -0.212601, 0.233591, 0.089848], [-0.123026, -0.37146, -0.435663, -0.096328, -0.353729], [0.806331, -0.086679, 0.028708, 0.275562, -0.526061], [0.23127, -1.011615, -0.064085, 0.400411, -0.059058], [0.138776, -0.706785, -0.821633, 0.184612, -0.821855]], "network.0.bias": [0.080486, 0.713154, 0.332271, 0.251265, -0.250778, -0.014443, 0.560837, -0.214328], "network.2.weight": [[-0.053678, -0.301182, -0.020469, -0.038106, 0.140539, -0.265316, -0.364411, -0.268319], [0.756387, 0.583749, 0.597318, 0.609829, 0.105046, -0.129198, 0.380096, -0.401818], [0.120369, 0.384243, 0.994309, 0.097815, -0.213296, 0.203245, -0.51185, -0.78708], [0.461968, 0.441981, 0.589131, 0.19434, -0.036781, -0.381102, 0.35899, 0.050876], [-0.846561, 0.504261, 0.786539, -0.685309, 0.006143, 0.563471, -0.521666, 0.111945], [-0.418681, -0.657783, 0.326653, -0.326335, 0.035596, 0.37141, -0.600266, 0.053785], [-0.460598, 0.023506, -0.158121, 0.053015, -0.331724, -0.129515, -0.213969, 0.045903], [0.695698, 0.356265, 0.939546, 0.411539, -0.279788, -0.252796, 0.55652, -0.442141]], "network.2.bias": [-0.187956, -0.087151, 0.23025, 0.275264, 0.084341, 0.255057, -0.359503, 0.18541], "network.4.weight": [[-0.269598, 0.097488, -0.266189, 0.048862, -0.151783, -0.173869, -0.386235, -0.164813], [-0.181101, -0.337421, -0.154105, -0.318169, 0.131007, -0.002334, -0.046891, -0.151152], [-0.254797, -0.712509, 0.260378, -0.39311, 0.473139, 0.549448, -0.319159, -0.536581], [0.093094, -0.591865, 0.470522, -0.599426, 0.849057, 0.546107, -0.100309, -0.449588], [0.13166, 0.179869, 0.121955, -0.460646, -0.092331, -0.468188, -0.219731, -0.415284], [-0.214897, 0.547878, 0.427931, 0.206755, 0.422773, -0.437721, -0.046646, 0.843328], [-0.003063, 0.138535, 0.753187, 0.50607, 0.286364, -0.30058, 0.071043, 0.382831], [-0.323814, -0.044041, -0.172067, -0.153993, 0.603349, 0.069409, 0.4856, -0.36135]], "network.4.bias": [-0.387611, -0.329775, -0.111847, -0.258066, -0.446663, -0.223362, 0.404448, -0.007073], "network.6.weight": [[0.158211, 0.044967, 0.300183, 0.604613, 0.008253, 0.408669, 0.42537, 0.021591], [0.351333, 0.203748, -0.258345, -0.191836, -0.160734, -0.157664, 0.296859, -0.057577], [0.188885, 0.075352, 0.045597, 0.198603, -0.131412, 0.673622, 0.44428, 0.323018], [0.291025, 0.039258, 0.641227, 0.699663, 0.008346, -0.125289, -0.269725, 0.422255], [-0.001889, -0.2462, -0.150705, 0.364211, -0.149905, -0.101234, -0.374106, 0.412424], [-0.000631, 0.197805, 0.218599, -0.352339, 0.006271, -0.211232, -0.208486, 0.010018], [-0.107856, -0.128364, 0.021125, 0.038283, 0.039081, -0.197082, -0.339587, -0.313684], [-0.144399, 0.139462, -0.717591, 0.00747, -0.217816, -0.143372, -0.381327, -0.186575]], "network.6.bias": [-0.12942, 0.221716, -0.235413, 0.021865, -0.246489, -0.239862, -0.453371, -0.563483], "network.8.weight": [[-0.504821, -0.133438, -0.322836, -0.287878, -0.214182, 0.110273, 0.337538, 0.089817], [-0.257606, -0.002728, -0.000659, -0.022047, -0.018888, -0.031266, -0.289882, -0.140297], [-0.48746, -0.349655, -0.277089, 0.028188, 0.117317, -0.310803, -0.056511, 0.12303], [-0.154765, -0.265532, -0.219261, 0.072948, 0.063191, -0.249373, -0.278483, -0.324787], [0.254208, 0.252806, 0.466081, 0.046076, -0.434533, -0.290828, 0.027714, 0.208138], [-0.623781, -0.150798, 0.092451, 0.220938, 0.306071, -0.000885, -0.017555, 0.02079], [-0.27064, 0.328366, -0.552376, -0.311802, -0.443642, -0.331448, -0.260092, -0.481859], [0.585707, 0.019493, 0.456798, 0.591466, -0.245363, -0.256638, 0.473248, 0.331959]], "network.8.bias": [-0.179749, -0.000997, -0.152485, -0.184767, -0.126281, -0.34787, 0.421541, 0.017831], "network.10.weight": [[-0.119931, -0.080371, 0.072077, -0.240502, 0.089909, 0.377759, -0.553888, 0.53165], [0.105896, -0.195557, 0.245827, 0.034228, -0.206157, 0.259347, -0.386173, -0.09999], [0.107311, -0.114596, 0.174935, 0.034124, 0.398838, -0.086304, -0.364581, 0.228013], [-0.31501, -0.134793, 0.009983, 0.085738, -0.101989, -0.217156, -0.019412, 0.150945], [0.018172, -0.298879, 0.316906, 0.339757, -0.144024, 0.35282, 0.127047, -0.427971], [-0.081911, 0.006995, 0.219555, 0.054498, 0.40077, 0.344973, -0.190082, 0.267745], [0.513529, 0.012589, 0.245213, -0.147542, -0.50717, 0.277812, -0.510205, -0.285769], [0.086779, 0.339748, 0.01654, -0.168511, 0.420834, 0.374881, -0.701828, 0.290002]], "network.10.bias": [0.114293, -0.127865, 0.09732, -0.422774, -0.226014, -0.081515, -0.411962, 0.131016], "network.12.weight": [[-0.318217, 0.00849, -0.260631, 0.018082, 0.06381, -0.143631, 0.143762, -0.255731]], "network.12.bias": [0.741917]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6856473386287689, "train_acc": 0.53, "val_loss": 0.7713521718978882, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6841429173946381, "train_acc": 0.575, "val_loss": 0.7483188509941101, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6802532076835632, "train_acc": 0.575, "val_loss": 0.7279826998710632, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6935558915138245, "train_acc": 0.52, "val_loss": 0.6905457973480225, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.680931031703949, "train_acc": 0.6, "val_loss": 0.7088250517845154, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6459172964096069, "train_acc": 0.695, "val_loss": 0.6782110333442688, "val_acc": 0.62}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6330002844333649, "train_acc": 0.675, "val_loss": 0.791100263595581, "val_acc": 0.6}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.591713160276413, "train_acc": 0.72, "val_loss": 0.7866371273994446, "val_acc": 0.62}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.6011121571063995, "train_acc": 0.705, "val_loss": 0.6407982110977173, "val_acc": 0.64}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.5782071053981781, "train_acc": 0.715, "val_loss": 0.6391156911849976, "val_acc": 0.64}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.5621258616447449, "train_acc": 0.71, "val_loss": 0.7098270654678345, "val_acc": 0.66}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.5661535263061523, "train_acc": 0.735, "val_loss": 0.7462945580482483, "val_acc": 0.7}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.537535160779953, "train_acc": 0.76, "val_loss": 0.6874593496322632, "val_acc": 0.64}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.7713521718978882, "final_val_loss": 0.7279826998710632, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.6905457973480225, "final_val_loss": 0.6874593496322632, "initial_val_acc": 0.56, "final_val_acc": 0.64, "best_val_acc": 0.7, "best_epoch": 11}, "improvement": 0.27999999999999997, "first_improvement_epoch": 2}}
|
186
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.92, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3837, "learning_rate": 0.05264364908037876, "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: 5
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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[
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[
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[
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"network.2.bias": [
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"network.4.weight": [
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[
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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: [[15.775994, 15.984910, 16.268343, 19.569906, 20.109677, 25.071836, 27.019786, 28.030677, 32.381756, 115.805022], [16.379650, 16.558367, 16.887497, 17.730998, 17.926602, 19.408367, 19.716110, 21.715104, 23.958453, 105.325599], [22.922953, 23.453864, 24.838954, 26.792493, 32.483188, 33.303301, 33.462610, 33.556786, 35.682228, 183.616412], [21.415874, 21.889880, 22.371826, 22.544592, 25.056359, 26.687017, 26.884784, 28.253249, 31.257188, 36.112849], [28.533857, 28.895684, 28.960242, 29.292421, 32.559581, 32.790921, 33.385861, 33.900312, 34.627729, 115.314158]]
### 2
fourier: [[8.854873, 9.592828, 10.170412, 11.275212, 12.665076, 13.899675, 14.464192, 15.711488, 18.260366, 134.047430], [27.077353, 27.924120, 29.525572, 29.614466, 31.710773, 31.717848, 38.214144, 44.740850, 52.466743, 194.003965], [11.786364, 12.222021, 14.230243, 14.932769, 15.943131, 16.006358, 16.612894, 19.586821, 22.400144, 54.205879], [25.902833, 26.567479, 27.398045, 28.727335, 29.679260, 29.936381, 39.655664, 43.569987, 44.767209, 100.408711], [3.222809, 3.243613, 3.574388, 3.671900, 3.949034, 4.041933, 4.195323, 4.528660, 4.991577, 16.150636]]
### 4
fourier: [[22.849166, 24.745177, 25.091804, 26.384662, 27.093626, 27.768971, 33.574764, 38.816205, 44.904703, 124.797116], [14.839114, 16.008367, 16.776454, 17.893179, 20.222412, 20.458968, 24.644898, 25.869810, 26.202621, 36.021147], [14.625457, 15.820026, 16.138653, 17.275854, 18.275203, 18.668010, 22.259309, 24.011602, 24.623711, 28.735189], [20.719870, 22.888384, 25.066442, 26.227510, 29.631911, 30.765260, 35.415241, 36.758705, 38.332465, 39.187582], [18.001434, 18.682964, 20.787624, 21.169773, 22.382132, 24.380966, 27.610794, 31.546865, 35.718032, 86.884545]]
### 6
fourier: [[32.001974, 32.198750, 37.584336, 39.674629, 45.113088, 46.649813, 50.130060, 59.506258, 65.667870, 155.584044], [32.261501, 32.621053, 37.905024, 40.127151, 45.562717, 46.658755, 50.845824, 60.228367, 67.012982, 165.216060], [24.553808, 26.790336, 27.406950, 31.008676, 33.713790, 37.022569, 39.045175, 44.602652, 44.698797, 55.070570], [22.170151, 23.138751, 24.932758, 26.673669, 28.877423, 32.147330, 35.222211, 36.269223, 42.569244, 43.434557], [32.755522, 34.775212, 36.145339, 39.475619, 43.219260, 46.524784, 52.939655, 53.629030, 62.744578, 64.287339]]
### 8
fourier: [[31.260604, 31.275669, 33.228970, 36.766492, 40.713529, 44.843665, 45.959679, 57.615828, 64.221409, 167.669002], [38.489496, 41.237677, 44.141952, 49.580068, 55.470051, 59.478722, 60.194481, 73.845457, 76.650388, 106.945078], [47.509445, 49.610536, 53.084341, 59.651587, 69.381999, 70.047200, 72.749643, 90.358801, 95.377181, 196.798377], [63.104560, 63.625521, 69.349218, 77.070725, 87.776677, 91.092173, 95.475096, 118.439990, 129.545402, 290.784604], [44.606395, 46.438481, 46.824297, 47.497523, 47.943431, 60.503253, 60.937484, 77.474938, 90.938499, 319.490750]]
### 10
fourier: [[51.539115, 51.646098, 55.209510, 62.723023, 70.596311, 75.776776, 76.515778, 98.112600, 105.677785, 196.917223], [69.841167, 70.782822, 72.045078, 78.512909, 83.690363, 98.130287, 99.843127, 127.344170, 143.754143, 427.631354], [38.175381, 40.655890, 42.773969, 49.326094, 56.661637, 58.519449, 58.909826, 74.844570, 76.637302, 104.399798], [10.635228, 11.325962, 11.426902, 13.506832, 15.606048, 15.945395, 16.472747, 20.990289, 21.358257, 48.495851], [64.217436, 64.600018, 68.825252, 76.580478, 85.182460, 93.030701, 95.245662, 119.868413, 132.670526, 348.209175]]
### 12
fourier: [[46.746973, 48.502633, 51.005301, 59.594609, 68.307710, 69.469855, 71.565315, 90.445865, 93.462184, 164.583057]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[15.775994, 15.984910, 16.268343, 19.569906, 20.109677, 25.071836, 27.019786, 28.030677, 32.381756, 115.805022], [16.379650, 16.558367, 16.887497, 17.730998, 17.926602, 19.408367, 19.716110, 21.715104, 23.958453, 105.325599], [22.922953, 23.453864, 24.838954, 26.792493, 32.483188, 33.303301, 33.462610, 33.556786, 35.682228, 183.616412], [21.415874, 21.889880, 22.371826, 22.544592, 25.056359, 26.687017, 26.884784, 28.253249, 31.257188, 36.112849], [28.533857, 28.895684, 28.960242, 29.292421, 32.559581, 32.790921, 33.385861, 33.900312, 34.627729, 115.314158]]
### 2
fourier: [[8.854873, 9.592828, 10.170412, 11.275212, 12.665076, 13.899675, 14.464192, 15.711488, 18.260366, 134.047430], [27.077353, 27.924120, 29.525572, 29.614466, 31.710773, 31.717848, 38.214144, 44.740850, 52.466743, 194.003965], [11.786364, 12.222021, 14.230243, 14.932769, 15.943131, 16.006358, 16.612894, 19.586821, 22.400144, 54.205879], [25.902833, 26.567479, 27.398045, 28.727335, 29.679260, 29.936381, 39.655664, 43.569987, 44.767209, 100.408711], [3.222809, 3.243613, 3.574388, 3.671900, 3.949034, 4.041933, 4.195323, 4.528660, 4.991577, 16.150636]]
### 4
fourier: [[22.849166, 24.745177, 25.091804, 26.384662, 27.093626, 27.768971, 33.574764, 38.816205, 44.904703, 124.797116], [14.839114, 16.008367, 16.776454, 17.893179, 20.222412, 20.458968, 24.644898, 25.869810, 26.202621, 36.021147], [14.625457, 15.820026, 16.138653, 17.275854, 18.275203, 18.668010, 22.259309, 24.011602, 24.623711, 28.735189], [20.719870, 22.888384, 25.066442, 26.227510, 29.631911, 30.765260, 35.415241, 36.758705, 38.332465, 39.187582], [18.001434, 18.682964, 20.787624, 21.169773, 22.382132, 24.380966, 27.610794, 31.546865, 35.718032, 86.884545]]
### 6
fourier: [[32.001974, 32.198750, 37.584336, 39.674629, 45.113088, 46.649813, 50.130060, 59.506258, 65.667870, 155.584044], [32.261501, 32.621053, 37.905024, 40.127151, 45.562717, 46.658755, 50.845824, 60.228367, 67.012982, 165.216060], [24.553808, 26.790336, 27.406950, 31.008676, 33.713790, 37.022569, 39.045175, 44.602652, 44.698797, 55.070570], [22.170151, 23.138751, 24.932758, 26.673669, 28.877423, 32.147330, 35.222211, 36.269223, 42.569244, 43.434557], [32.755522, 34.775212, 36.145339, 39.475619, 43.219260, 46.524784, 52.939655, 53.629030, 62.744578, 64.287339]]
### 8
fourier: [[31.260604, 31.275669, 33.228970, 36.766492, 40.713529, 44.843665, 45.959679, 57.615828, 64.221409, 167.669002], [38.489496, 41.237677, 44.141952, 49.580068, 55.470051, 59.478722, 60.194481, 73.845457, 76.650388, 106.945078], [47.509445, 49.610536, 53.084341, 59.651587, 69.381999, 70.047200, 72.749643, 90.358801, 95.377181, 196.798377], [63.104560, 63.625521, 69.349218, 77.070725, 87.776677, 91.092173, 95.475096, 118.439990, 129.545402, 290.784604], [44.606395, 46.438481, 46.824297, 47.497523, 47.943431, 60.503253, 60.937484, 77.474938, 90.938499, 319.490750]]
### 10
fourier: [[51.539115, 51.646098, 55.209510, 62.723023, 70.596311, 75.776776, 76.515778, 98.112600, 105.677785, 196.917223], [69.841167, 70.782822, 72.045078, 78.512909, 83.690363, 98.130287, 99.843127, 127.344170, 143.754143, 427.631354], [38.175381, 40.655890, 42.773969, 49.326094, 56.661637, 58.519449, 58.909826, 74.844570, 76.637302, 104.399798], [10.635228, 11.325962, 11.426902, 13.506832, 15.606048, 15.945395, 16.472747, 20.990289, 21.358257, 48.495851], [64.217436, 64.600018, 68.825252, 76.580478, 85.182460, 93.030701, 95.245662, 119.868413, 132.670526, 348.209175]]
### 12
fourier: [[46.746973, 48.502633, 51.005301, 59.594609, 68.307710, 69.469855, 71.565315, 90.445865, 93.462184, 164.583057]]
## 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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29.29242139775245, 32.55958143780864, 32.79092087796365, 33.385861493417075, 33.90031189301622, 34.62772910398689, 115.31415838003159]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [8.854873226016466, 9.592827571587337, 10.170411597479307, 11.275212135786253, 12.665076465200032, 13.899675148681336, 14.464191522176936, 15.711488127897761, 18.260366474764297, 134.0474298596382]}, "1": {"fourier": [27.07735315168191, 27.924119522819563, 29.52557154742434, 29.614466093009444, 31.710773472284544, 31.717848329246277, 38.214143913762435, 44.740850404647105, 52.46674326407291, 194.0039648860693]}, "2": {"fourier": [11.786363780528442, 12.222020877464471, 14.230243157982885, 14.93276913632996, 15.943131491769405, 16.006358135938026, 16.612894484830477, 19.586820928342043, 22.40014423613496, 54.2058787047863]}, "3": {"fourier": [25.90283331544141, 26.567478722239667, 27.39804548713886, 28.727334707257913, 29.679260260010825, 29.93638089737473, 39.65566441504641, 43.56998699748764, 44.76720904218127, 100.408711373806]}, "4": {"fourier": [3.222808567463755, 3.243612508370389, 3.5743880792088336, 3.671899903759877, 3.949034046463629, 4.041932514905051, 4.195322573002887, 4.528659521583621, 4.9915768883530385, 16.150635689496994]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [22.849166156155853, 24.74517739961587, 25.091803555186225, 26.38466160787544, 27.09362633455336, 27.768971447090138, 33.57476356265171, 38.81620531356254, 44.90470310898594, 124.79711573850363]}, "1": {"fourier": [14.83911359795594, 16.008366997595218, 16.776453848167545, 17.893178851184413, 20.222412271180634, 20.4589682861406, 24.64489843130967, 25.86981037926526, 26.202621367899656, 36.02114698290825]}, "2": {"fourier": [14.62545730079714, 15.820025605559811, 16.13865276047576, 17.27585440308898, 18.27520339766208, 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93.03070142827939, 95.24566228593628, 119.86841256285157, 132.67052605132224, 348.2091754451394]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [46.7469728716258, 48.50263338304825, 51.0053011424826, 59.59460856540833, 68.30770964171323, 69.46985511959242, 71.56531544758487, 90.44586511745293, 93.46218362482225, 164.58305666595697]}}, "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": 5, "activation_type": "gelu", "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.416857, -0.052558, 0.049562, -0.011263, 0.527537], [-0.100013, -0.210396, -0.022084, 0.294725, 0.559976], [-0.200877, 0.528853, 0.574495, 0.247387, -0.721238], [0.759389, -0.033877, 0.036734, -0.207284, 0.025693], [-0.755632, 0.03877, 0.029192, 0.110536, 0.912033]], "network.0.bias": [0.133735, 0.401606, 0.485438, -0.298623, 0.728105], "network.2.weight": [[0.049498, -0.125645, -0.247301, -0.535807, -0.383677], [0.382087, 0.530872, -0.111546, 0.325125, 0.763846], [0.024422, -0.019486, -0.109472, 0.458772, -0.33769], [-0.540751, 0.257611, 0.767003, -0.480733, -0.291726], [0.416591, -0.070913, 0.039657, -0.411757, -0.054394]], "network.2.bias": [0.031655, -0.036877, -0.148228, 0.597649, -0.357044], "network.4.weight": [[-0.037312, 0.779237, -0.020997, -0.1588, -0.05414], [-0.167064, -0.273741, -0.410989, 0.432696, -0.198511], [-0.54831, 0.211888, 0.323847, -0.508894, -0.358889], [-0.495407, -0.441145, -0.5235, 0.584123, -0.435243], [-0.422567, 0.607846, -0.067918, -0.23895, -0.674711]], "network.4.bias": [-0.005985, 0.341483, 0.528129, 0.441981, -0.019185], "network.6.weight": [[0.633834, -0.079924, 0.716605, -0.46644, 0.499609], [0.533675, -0.089856, 0.642804, -0.418792, 0.719478], [-0.083524, -0.621448, 0.531754, -0.396481, 0.776376], [0.392797, -0.036634, 0.675402, -0.659219, 0.131351], [-0.420394, 0.593337, -0.479704, 0.697393, -0.603393]], "network.6.bias": [0.4237, 0.449896, 0.412728, -0.165712, 0.259821], "network.8.weight": [[0.510217, 0.171978, 0.333119, 0.198489, -0.119002], [-0.214811, -0.482225, -0.34655, -0.231053, 0.715366], [0.653227, 0.003912, 0.792423, 0.404341, -0.69581], [0.745839, 0.621361, 0.460549, 0.491794, -0.545734], [0.398219, 0.725192, 0.247232, 0.434052, 0.333646]], "network.8.bias": [0.088679, 0.00885, 0.41346, 0.153783, 0.248348], "network.10.weight": [[0.458242, 0.48336, -0.617478, -0.613578, -0.011131], [0.208524, 0.00833, 0.32397, 0.559184, 0.371413], [-0.037007, 0.601556, -0.52387, -0.594819, 0.545787], [-0.120339, 0.024023, -0.580745, 0.027494, 0.370183], [0.33304, -0.600933, 0.251418, 0.308337, 0.49434]], "network.10.bias": [0.626729, 0.031775, 0.255124, -0.092819, 0.125063], "network.12.weight": [[0.54647, -0.307074, 0.622344, -0.065072, -0.28873]], "network.12.bias": [-0.083078]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6795870959758759, "train_acc": 0.59, "val_loss": 0.7198115587234497, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6590130627155304, "train_acc": 0.59, "val_loss": 0.6341187953948975, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.568480595946312, "train_acc": 0.645, "val_loss": 0.333709716796875, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3699806481599808, "train_acc": 0.885, "val_loss": 1.179219126701355, "val_acc": 0.6}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.506319984793663, "train_acc": 0.79, "val_loss": 0.2463182806968689, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3787117600440979, "train_acc": 0.87, "val_loss": 0.24970601499080658, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.38829711079597473, "train_acc": 0.82, "val_loss": 0.2953367829322815, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.386980876326561, "train_acc": 0.825, "val_loss": 0.33180350065231323, "val_acc": 0.92}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7198115587234497, "final_val_loss": 0.6341187953948975, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.333709716796875, "final_val_loss": 0.33180350065231323, "initial_val_acc": 0.9, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 4}, "improvement": 0.46, "first_improvement_epoch": 1}}
|
187
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.56, "improved_accuracy": 0.82, "improvement": 0.2599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1533, "learning_rate": 0.04127089993503693, "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: 7
Activation Function: gelu
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: [[17.195636, 17.478665, 17.960007, 18.587147, 19.515961, 20.057581, 21.610578, 22.297252, 29.358107, 49.236687], [13.902298, 15.115320, 15.192277, 15.585066, 16.932159, 18.492198, 18.579306, 19.097347, 19.200361, 128.383443], [9.710288, 9.728215, 9.913910, 11.071538, 11.427284, 11.734797, 11.822038, 12.376483, 13.503488, 118.389860], [14.876704, 15.086828, 15.340307, 15.431774, 16.017107, 16.395290, 16.834709, 20.763212, 23.187621, 30.777184], [21.505155, 22.377292, 23.201033, 23.686170, 25.977771, 26.108979, 26.768340, 27.021953, 27.243575, 84.972256], [6.520084, 6.984589, 7.120726, 7.496156, 8.739053, 9.085589, 10.168761, 10.775161, 12.758636, 17.097854], [20.395508, 21.392505, 21.527442, 22.173463, 23.633245, 23.783822, 25.731674, 27.181435, 30.251716, 81.192052]]
### 2
fourier: [[14.658766, 16.299316, 16.401610, 16.686384, 17.070919, 17.926144, 18.484830, 20.527478, 22.679395, 111.345774], [8.708602, 9.176722, 9.892696, 10.160771, 10.631380, 10.767936, 11.053932, 12.901818, 13.153915, 74.558499], [12.283406, 12.420049, 13.269874, 13.364773, 14.095615, 14.251475, 16.509766, 17.670828, 17.718342, 84.145311], [8.930906, 9.921240, 10.042335, 11.672235, 11.796803, 12.057407, 12.650970, 12.811430, 14.042758, 57.079852], [9.858033, 11.183422, 11.301697, 11.309526, 11.490588, 11.790696, 12.692601, 14.823606, 14.917218, 16.758736], [6.497031, 6.782400, 7.230028, 7.811594, 8.038704, 8.378896, 8.731742, 8.894459, 10.242767, 65.605980], [16.466649, 17.566847, 18.331422, 18.507707, 18.794387, 18.970487, 22.566284, 23.247821, 23.583427, 102.850053]]
### 4
fourier: [[6.716045, 7.232500, 7.289738, 8.215417, 8.268467, 8.314045, 8.531147, 8.637480, 12.960837, 93.514249], [1.477300, 1.518324, 1.525092, 1.668642, 1.691031, 1.951378, 2.149928, 2.303519, 2.481859, 2.498302], [3.337843, 3.424758, 3.429591, 3.795991, 3.815329, 3.816322, 4.394103, 4.518447, 7.092358, 33.409520], [3.627736, 3.714058, 3.893382, 3.926744, 4.201748, 4.458220, 5.302790, 5.311824, 6.471287, 21.861757], [14.292711, 14.343071, 14.367786, 14.657206, 15.089155, 15.415632, 16.132869, 17.761732, 19.004881, 90.363928], [5.443578, 5.781190, 5.846980, 6.264947, 6.270652, 6.348914, 6.900438, 7.744188, 8.636190, 56.418146], [7.324686, 7.331812, 7.394401, 7.752168, 8.290368, 8.573412, 8.837587, 10.502921, 10.616121, 25.135648]]
### 6
fourier: [[3.474864, 3.610972, 3.624080, 3.725210, 4.123659, 4.325438, 4.455179, 4.555459, 6.019612, 59.429292], [3.381944, 3.417508, 3.519630, 3.544948, 3.583782, 4.106894, 4.157603, 4.270595, 5.507413, 68.486014], [4.553070, 4.564044, 4.871117, 5.405361, 5.469728, 5.661269, 6.138723, 6.383013, 8.140744, 69.460595], [6.432576, 6.495420, 6.527853, 6.801177, 6.874266, 7.285595, 7.402444, 7.565819, 7.655908, 78.807587], [10.503049, 10.785241, 10.893624, 10.961702, 11.583874, 11.586622, 11.854476, 13.611122, 14.300601, 36.779095], [8.436997, 8.443729, 8.629317, 8.640693, 9.551044, 9.661188, 9.903902, 10.945233, 12.054978, 14.306065], [3.124027, 3.220650, 3.338798, 3.745464, 3.788946, 3.846579, 3.858037, 4.420815, 5.025107, 44.367910]]
### 8
fourier: [[4.477658, 4.708563, 4.797402, 4.904181, 5.057683, 5.632140, 5.635182, 6.137889, 7.465474, 53.614082], [5.488245, 6.033344, 6.097944, 6.252544, 6.400166, 6.973214, 7.131398, 7.635640, 9.312959, 62.478795], [8.960418, 9.983834, 10.103107, 11.073363, 11.268258, 11.440942, 12.171673, 12.876183, 15.795510, 58.156852], [3.931243, 4.244403, 4.274374, 4.625184, 4.717756, 4.963672, 5.008429, 5.471460, 6.624092, 72.978749], [10.929194, 11.543249, 12.036754, 13.179921, 13.621906, 14.048708, 14.387323, 14.918519, 18.453358, 43.952960], [5.897223, 6.350633, 6.435319, 7.222761, 7.234994, 7.241631, 7.612478, 8.239193, 9.929819, 57.487722], [4.610248, 5.264832, 5.396579, 5.566965, 5.779337, 6.148491, 6.170788, 6.703260, 8.161595, 82.410201]]
### 10
fourier: [[8.028316, 8.069136, 8.208221, 8.857045, 9.226470, 9.943816, 10.652768, 12.092075, 13.527139, 21.198136], [5.970005, 6.002827, 6.215156, 6.592825, 6.955955, 7.433059, 7.943650, 9.052666, 10.172941, 89.592911], [3.121035, 3.126408, 3.162622, 3.460039, 3.615565, 3.708452, 4.141113, 4.690325, 4.926895, 22.537173], [0.176953, 0.189921, 0.192212, 0.219070, 0.220099, 0.242825, 0.282663, 0.296500, 0.300108, 66.525713], [1.295282, 1.366922, 1.370764, 1.493746, 1.512922, 1.532373, 1.613745, 1.738545, 1.802630, 25.908948], [5.291675, 5.384864, 5.480065, 6.052453, 6.077676, 6.590226, 7.184987, 8.001352, 8.987757, 62.081144], [5.375408, 5.436488, 5.623986, 6.154183, 6.203130, 6.717387, 7.306833, 8.110201, 9.120773, 75.011193]]
### 12
fourier: [[10.402105, 10.553468, 10.684587, 11.458959, 11.796672, 12.898128, 13.770046, 16.300967, 17.943104, 167.462459]]
## 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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[17.195636, 17.478665, 17.960007, 18.587147, 19.515961, 20.057581, 21.610578, 22.297252, 29.358107, 49.236687], [13.902298, 15.115320, 15.192277, 15.585066, 16.932159, 18.492198, 18.579306, 19.097347, 19.200361, 128.383443], [9.710288, 9.728215, 9.913910, 11.071538, 11.427284, 11.734797, 11.822038, 12.376483, 13.503488, 118.389860], [14.876704, 15.086828, 15.340307, 15.431774, 16.017107, 16.395290, 16.834709, 20.763212, 23.187621, 30.777184], [21.505155, 22.377292, 23.201033, 23.686170, 25.977771, 26.108979, 26.768340, 27.021953, 27.243575, 84.972256], [6.520084, 6.984589, 7.120726, 7.496156, 8.739053, 9.085589, 10.168761, 10.775161, 12.758636, 17.097854], [20.395508, 21.392505, 21.527442, 22.173463, 23.633245, 23.783822, 25.731674, 27.181435, 30.251716, 81.192052]]
### 2
fourier: [[14.658766, 16.299316, 16.401610, 16.686384, 17.070919, 17.926144, 18.484830, 20.527478, 22.679395, 111.345774], [8.708602, 9.176722, 9.892696, 10.160771, 10.631380, 10.767936, 11.053932, 12.901818, 13.153915, 74.558499], [12.283406, 12.420049, 13.269874, 13.364773, 14.095615, 14.251475, 16.509766, 17.670828, 17.718342, 84.145311], [8.930906, 9.921240, 10.042335, 11.672235, 11.796803, 12.057407, 12.650970, 12.811430, 14.042758, 57.079852], [9.858033, 11.183422, 11.301697, 11.309526, 11.490588, 11.790696, 12.692601, 14.823606, 14.917218, 16.758736], [6.497031, 6.782400, 7.230028, 7.811594, 8.038704, 8.378896, 8.731742, 8.894459, 10.242767, 65.605980], [16.466649, 17.566847, 18.331422, 18.507707, 18.794387, 18.970487, 22.566284, 23.247821, 23.583427, 102.850053]]
### 4
fourier: [[6.716045, 7.232500, 7.289738, 8.215417, 8.268467, 8.314045, 8.531147, 8.637480, 12.960837, 93.514249], [1.477300, 1.518324, 1.525092, 1.668642, 1.691031, 1.951378, 2.149928, 2.303519, 2.481859, 2.498302], [3.337843, 3.424758, 3.429591, 3.795991, 3.815329, 3.816322, 4.394103, 4.518447, 7.092358, 33.409520], [3.627736, 3.714058, 3.893382, 3.926744, 4.201748, 4.458220, 5.302790, 5.311824, 6.471287, 21.861757], [14.292711, 14.343071, 14.367786, 14.657206, 15.089155, 15.415632, 16.132869, 17.761732, 19.004881, 90.363928], [5.443578, 5.781190, 5.846980, 6.264947, 6.270652, 6.348914, 6.900438, 7.744188, 8.636190, 56.418146], [7.324686, 7.331812, 7.394401, 7.752168, 8.290368, 8.573412, 8.837587, 10.502921, 10.616121, 25.135648]]
### 6
fourier: [[3.474864, 3.610972, 3.624080, 3.725210, 4.123659, 4.325438, 4.455179, 4.555459, 6.019612, 59.429292], [3.381944, 3.417508, 3.519630, 3.544948, 3.583782, 4.106894, 4.157603, 4.270595, 5.507413, 68.486014], [4.553070, 4.564044, 4.871117, 5.405361, 5.469728, 5.661269, 6.138723, 6.383013, 8.140744, 69.460595], [6.432576, 6.495420, 6.527853, 6.801177, 6.874266, 7.285595, 7.402444, 7.565819, 7.655908, 78.807587], [10.503049, 10.785241, 10.893624, 10.961702, 11.583874, 11.586622, 11.854476, 13.611122, 14.300601, 36.779095], [8.436997, 8.443729, 8.629317, 8.640693, 9.551044, 9.661188, 9.903902, 10.945233, 12.054978, 14.306065], [3.124027, 3.220650, 3.338798, 3.745464, 3.788946, 3.846579, 3.858037, 4.420815, 5.025107, 44.367910]]
### 8
fourier: [[4.477658, 4.708563, 4.797402, 4.904181, 5.057683, 5.632140, 5.635182, 6.137889, 7.465474, 53.614082], [5.488245, 6.033344, 6.097944, 6.252544, 6.400166, 6.973214, 7.131398, 7.635640, 9.312959, 62.478795], [8.960418, 9.983834, 10.103107, 11.073363, 11.268258, 11.440942, 12.171673, 12.876183, 15.795510, 58.156852], [3.931243, 4.244403, 4.274374, 4.625184, 4.717756, 4.963672, 5.008429, 5.471460, 6.624092, 72.978749], [10.929194, 11.543249, 12.036754, 13.179921, 13.621906, 14.048708, 14.387323, 14.918519, 18.453358, 43.952960], [5.897223, 6.350633, 6.435319, 7.222761, 7.234994, 7.241631, 7.612478, 8.239193, 9.929819, 57.487722], [4.610248, 5.264832, 5.396579, 5.566965, 5.779337, 6.148491, 6.170788, 6.703260, 8.161595, 82.410201]]
### 10
fourier: [[8.028316, 8.069136, 8.208221, 8.857045, 9.226470, 9.943816, 10.652768, 12.092075, 13.527139, 21.198136], [5.970005, 6.002827, 6.215156, 6.592825, 6.955955, 7.433059, 7.943650, 9.052666, 10.172941, 89.592911], [3.121035, 3.126408, 3.162622, 3.460039, 3.615565, 3.708452, 4.141113, 4.690325, 4.926895, 22.537173], [0.176953, 0.189921, 0.192212, 0.219070, 0.220099, 0.242825, 0.282663, 0.296500, 0.300108, 66.525713], [1.295282, 1.366922, 1.370764, 1.493746, 1.512922, 1.532373, 1.613745, 1.738545, 1.802630, 25.908948], [5.291675, 5.384864, 5.480065, 6.052453, 6.077676, 6.590226, 7.184987, 8.001352, 8.987757, 62.081144], [5.375408, 5.436488, 5.623986, 6.154183, 6.203130, 6.717387, 7.306833, 8.110201, 9.120773, 75.011193]]
### 12
fourier: [[10.402105, 10.553468, 10.684587, 11.458959, 11.796672, 12.898128, 13.770046, 16.300967, 17.943104, 167.462459]]
## 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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188
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{"target_pattern": "alternating", "degraded_accuracy": 0.48, "improved_accuracy": 0.84, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8297, "learning_rate": 0.07745571578828822, "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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[17.250537, 18.227493, 18.550798, 19.562722, 19.673101, 19.677762, 20.563320, 25.949086, 30.022272, 63.835309], [53.825229, 53.970933, 55.266947, 56.620334, 62.607666, 62.712091, 66.319054, 66.511065, 68.245605, 199.536960], [29.495958, 31.994332, 33.472928, 34.636994, 38.283167, 39.876198, 41.110816, 43.318349, 50.936483, 345.460271], [26.702495, 28.147497, 28.913631, 31.139339, 32.107828, 32.167984, 32.277641, 35.287436, 35.370490, 36.842608], [19.639006, 19.980291, 21.633106, 23.207215, 24.123281, 24.314611, 24.407717, 25.328445, 27.731743, 61.564646], [27.269120, 27.697919, 28.185499, 31.522274, 34.861176, 35.582309, 43.672698, 44.823427, 45.147465, 249.558154]]
### 2
fourier: [[7.270738, 7.561840, 7.725354, 7.866275, 9.117145, 9.225450, 11.213653, 11.396980, 12.179713, 51.938845], [33.572226, 33.726337, 35.793660, 39.398092, 39.551851, 40.310897, 46.133650, 47.011940, 47.524737, 302.127956], [12.791246, 13.241975, 13.582367, 14.371013, 14.745734, 16.015350, 16.362129, 16.686084, 18.652127, 46.101557], [16.496575, 16.756070, 17.857258, 20.886980, 22.394867, 22.537707, 22.537860, 23.462328, 28.745563, 87.929442], [9.774905, 9.987934, 10.337442, 10.478728, 10.807090, 11.326565, 12.756747, 14.477022, 15.044763, 102.086752], [25.308720, 26.248758, 26.344373, 27.292882, 28.173715, 28.996806, 32.301097, 34.049229, 37.473392, 122.703853]]
### 4
fourier: [[4.063395, 4.084639, 4.118606, 5.539776, 5.811885, 5.927400, 6.089860, 7.246547, 7.286362, 53.622812], [23.277659, 23.946932, 24.262943, 24.508667, 24.800660, 27.344277, 28.022677, 33.889252, 34.078582, 110.132232], [24.703942, 24.749440, 24.946801, 27.270814, 29.007674, 29.795967, 31.381220, 35.056150, 36.742441, 133.935215], [8.910352, 9.229575, 9.485983, 9.884278, 9.894133, 10.064581, 12.474005, 12.935034, 13.157842, 88.407120], [18.243631, 18.432741, 18.796273, 20.809212, 22.256316, 24.366610, 24.386322, 27.876928, 28.413283, 194.738735], [24.072767, 24.731090, 24.767009, 25.587967, 25.638878, 28.323662, 28.836513, 35.483733, 35.792952, 148.454617]]
### 6
fourier: [[24.504729, 25.240943, 28.458435, 29.039160, 29.921990, 31.475039, 35.355495, 35.497578, 37.470722, 274.954974], [39.455246, 41.852662, 42.152335, 43.343623, 43.365430, 44.174953, 51.835514, 56.756956, 56.899054, 124.132647], [29.066141, 29.678553, 31.575567, 35.076154, 37.682141, 39.293961, 40.436028, 46.615930, 47.880579, 387.426463], [23.234982, 24.831458, 25.171837, 25.313346, 25.561153, 25.870503, 25.933300, 30.365398, 33.229198, 33.723278], [7.830013, 8.170299, 8.259327, 8.823097, 9.219555, 9.399974, 10.704975, 11.869144, 11.906898, 94.972241], [28.893167, 30.175683, 30.895308, 32.827257, 33.507628, 35.395907, 36.255714, 39.688681, 43.129249, 224.448895]]
### 8
fourier: [[9.425088, 9.614641, 10.376380, 10.917245, 11.188365, 11.487507, 12.102664, 12.600940, 12.670274, 13.567476], [27.244312, 29.443453, 31.229483, 31.278533, 33.317244, 34.858472, 35.249893, 36.699116, 38.492109, 123.011929], [15.221233, 16.456069, 17.374278, 17.529120, 18.732866, 19.563925, 19.622945, 20.626961, 21.512890, 122.959373], [6.695752, 7.252520, 7.477951, 7.834692, 8.471925, 8.507383, 8.809162, 9.350957, 9.481372, 67.489609], [14.198090, 15.328557, 16.167996, 16.457406, 17.068124, 17.948370, 18.545917, 18.818891, 20.041540, 92.641548], [28.755380, 31.043679, 32.734735, 33.345483, 34.544945, 36.333896, 37.574791, 38.089852, 40.588722, 149.734301]]
### 10
fourier: [[16.719005, 18.093055, 18.877104, 19.472864, 20.680845, 21.525522, 21.689782, 22.882419, 23.525339, 159.575996], [5.692588, 6.222277, 6.271040, 6.758404, 7.099196, 7.439223, 7.702377, 8.098391, 8.175684, 36.670164], [4.644750, 4.962054, 5.105229, 5.357782, 5.721313, 5.894765, 6.169733, 6.400589, 6.494718, 35.941359], [30.496350, 33.171362, 34.118135, 35.832235, 38.628361, 38.800107, 40.285441, 42.625847, 43.140599, 151.124854], [38.905955, 42.271514, 43.667873, 45.611048, 48.924935, 49.719169, 51.105237, 54.053250, 54.962519, 186.681554], [27.273367, 29.679852, 30.624754, 32.035197, 34.357351, 34.893310, 35.864726, 37.991626, 38.575168, 131.354555]]
### 12
fourier: [[30.508785, 33.315557, 34.048089, 36.006826, 38.660881, 39.085304, 40.743501, 43.086110, 43.289066, 105.489141]]
## 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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[17.250537, 18.227493, 18.550798, 19.562722, 19.673101, 19.677762, 20.563320, 25.949086, 30.022272, 63.835309], [53.825229, 53.970933, 55.266947, 56.620334, 62.607666, 62.712091, 66.319054, 66.511065, 68.245605, 199.536960], [29.495958, 31.994332, 33.472928, 34.636994, 38.283167, 39.876198, 41.110816, 43.318349, 50.936483, 345.460271], [26.702495, 28.147497, 28.913631, 31.139339, 32.107828, 32.167984, 32.277641, 35.287436, 35.370490, 36.842608], [19.639006, 19.980291, 21.633106, 23.207215, 24.123281, 24.314611, 24.407717, 25.328445, 27.731743, 61.564646], [27.269120, 27.697919, 28.185499, 31.522274, 34.861176, 35.582309, 43.672698, 44.823427, 45.147465, 249.558154]]
### 2
fourier: [[7.270738, 7.561840, 7.725354, 7.866275, 9.117145, 9.225450, 11.213653, 11.396980, 12.179713, 51.938845], [33.572226, 33.726337, 35.793660, 39.398092, 39.551851, 40.310897, 46.133650, 47.011940, 47.524737, 302.127956], [12.791246, 13.241975, 13.582367, 14.371013, 14.745734, 16.015350, 16.362129, 16.686084, 18.652127, 46.101557], [16.496575, 16.756070, 17.857258, 20.886980, 22.394867, 22.537707, 22.537860, 23.462328, 28.745563, 87.929442], [9.774905, 9.987934, 10.337442, 10.478728, 10.807090, 11.326565, 12.756747, 14.477022, 15.044763, 102.086752], [25.308720, 26.248758, 26.344373, 27.292882, 28.173715, 28.996806, 32.301097, 34.049229, 37.473392, 122.703853]]
### 4
fourier: [[4.063395, 4.084639, 4.118606, 5.539776, 5.811885, 5.927400, 6.089860, 7.246547, 7.286362, 53.622812], [23.277659, 23.946932, 24.262943, 24.508667, 24.800660, 27.344277, 28.022677, 33.889252, 34.078582, 110.132232], [24.703942, 24.749440, 24.946801, 27.270814, 29.007674, 29.795967, 31.381220, 35.056150, 36.742441, 133.935215], [8.910352, 9.229575, 9.485983, 9.884278, 9.894133, 10.064581, 12.474005, 12.935034, 13.157842, 88.407120], [18.243631, 18.432741, 18.796273, 20.809212, 22.256316, 24.366610, 24.386322, 27.876928, 28.413283, 194.738735], [24.072767, 24.731090, 24.767009, 25.587967, 25.638878, 28.323662, 28.836513, 35.483733, 35.792952, 148.454617]]
### 6
fourier: [[24.504729, 25.240943, 28.458435, 29.039160, 29.921990, 31.475039, 35.355495, 35.497578, 37.470722, 274.954974], [39.455246, 41.852662, 42.152335, 43.343623, 43.365430, 44.174953, 51.835514, 56.756956, 56.899054, 124.132647], [29.066141, 29.678553, 31.575567, 35.076154, 37.682141, 39.293961, 40.436028, 46.615930, 47.880579, 387.426463], [23.234982, 24.831458, 25.171837, 25.313346, 25.561153, 25.870503, 25.933300, 30.365398, 33.229198, 33.723278], [7.830013, 8.170299, 8.259327, 8.823097, 9.219555, 9.399974, 10.704975, 11.869144, 11.906898, 94.972241], [28.893167, 30.175683, 30.895308, 32.827257, 33.507628, 35.395907, 36.255714, 39.688681, 43.129249, 224.448895]]
### 8
fourier: [[9.425088, 9.614641, 10.376380, 10.917245, 11.188365, 11.487507, 12.102664, 12.600940, 12.670274, 13.567476], [27.244312, 29.443453, 31.229483, 31.278533, 33.317244, 34.858472, 35.249893, 36.699116, 38.492109, 123.011929], [15.221233, 16.456069, 17.374278, 17.529120, 18.732866, 19.563925, 19.622945, 20.626961, 21.512890, 122.959373], [6.695752, 7.252520, 7.477951, 7.834692, 8.471925, 8.507383, 8.809162, 9.350957, 9.481372, 67.489609], [14.198090, 15.328557, 16.167996, 16.457406, 17.068124, 17.948370, 18.545917, 18.818891, 20.041540, 92.641548], [28.755380, 31.043679, 32.734735, 33.345483, 34.544945, 36.333896, 37.574791, 38.089852, 40.588722, 149.734301]]
### 10
fourier: [[16.719005, 18.093055, 18.877104, 19.472864, 20.680845, 21.525522, 21.689782, 22.882419, 23.525339, 159.575996], [5.692588, 6.222277, 6.271040, 6.758404, 7.099196, 7.439223, 7.702377, 8.098391, 8.175684, 36.670164], [4.644750, 4.962054, 5.105229, 5.357782, 5.721313, 5.894765, 6.169733, 6.400589, 6.494718, 35.941359], [30.496350, 33.171362, 34.118135, 35.832235, 38.628361, 38.800107, 40.285441, 42.625847, 43.140599, 151.124854], [38.905955, 42.271514, 43.667873, 45.611048, 48.924935, 49.719169, 51.105237, 54.053250, 54.962519, 186.681554], [27.273367, 29.679852, 30.624754, 32.035197, 34.357351, 34.893310, 35.864726, 37.991626, 38.575168, 131.354555]]
### 12
fourier: [[30.508785, 33.315557, 34.048089, 36.006826, 38.660881, 39.085304, 40.743501, 43.086110, 43.289066, 105.489141]]
## 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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"integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.677447, -0.213974, -0.291986, -0.143973, 0.025199], [0.782065, -1.174443, 0.60282, -1.166789, 0.118532], [-0.701953, -0.12919, -0.339882, -0.667193, -0.225758], [-0.381497, -0.709347, -0.101126, 0.720211, 0.39993], [-0.30249, -0.589977, 0.009709, 0.205097, 0.411113], [0.900275, -0.226627, 0.442708, 0.427467, -0.009491]], "network.0.bias": [-0.274828, 0.046482, -0.310325, 0.070996, -0.199691, 0.235747], "network.2.weight": [[0.066897, 0.014067, 0.067807, 0.069037, -0.166374, 0.245242], [-0.047786, -0.281101, 0.012044, 1.015326, 0.410202, 0.9913], [-0.058695, -0.211672, -0.009272, 0.362796, 0.387131, 0.353522], [-0.516357, 0.815433, 0.545904, -0.24268, -0.042158, 0.144277], [-0.66528, 0.131354, -0.243271, -0.073645, -0.588808, -0.163722], [0.126663, 0.749768, 0.508063, -0.476119, 0.3075, -0.897926]], "network.2.bias": [-0.150255, -0.186644, -0.730959, 0.452757, -0.356013, 0.969211], "network.4.weight": [[-0.31526, -0.002917, -0.029739, -0.155101, 0.116877, -0.204422], [0.367473, 0.486765, 0.255769, -0.408822, 0.162027, -0.996919], [0.145752, 0.555038, 0.334578, -0.244103, -0.493505, -1.086357], [0.021924, -0.048493, 0.054144, 0.416652, 0.598105, 0.690706], [0.02881, 0.111179, -0.13074, 0.932466, 0.100479, 0.999072], [0.316038, 0.6362, -0.072864, -0.503571, 0.26261, -0.839726]], "network.4.bias": [-0.178746, -0.174939, -0.207783, 0.526593, 0.708044, 0.06332], "network.6.weight": [[0.234121, -0.830803, -0.344442, -0.191148, -0.357945, -0.068699], [-0.32874, 0.540866, 0.903448, -0.282989, -0.412178, 0.25717], [0.316853, -0.366933, -0.615882, -0.646665, -0.538858, -0.450749], [0.118427, 0.138015, 0.687125, -0.536728, -0.138785, 0.101707], [0.371571, 0.225872, -0.305221, -0.168798, -0.323394, 0.131448], [0.016661, 0.009233, -0.688086, -0.032402, -0.01366, -0.659915]], "network.6.bias": [-0.109924, -0.3072, -0.050237, -0.476777, -0.248328, -0.039048], "network.8.weight": [[-0.329329, 0.298357, -0.298696, -0.000911, -0.099922, -0.227942], [-0.761628, 0.566001, 0.055885, 0.542412, -0.125447, -0.186118], [-0.032851, -0.272868, 0.012984, -0.387592, -0.056785, -0.097265], [-0.352724, -0.022454, 0.098913, -0.360781, 0.201986, 0.204371], [0.163619, -0.40254, -0.088239, -0.072865, -0.238525, -0.316302], [0.102813, 0.823693, 0.491431, 0.131132, -0.072441, 0.549166]], "network.8.bias": [-0.595592, -0.333259, -0.426649, -0.359655, -0.117971, -0.184092], "network.10.weight": [[-0.177557, -0.105428, 0.196013, 0.337251, 0.351632, -0.456566], [-0.071025, -0.35997, -0.23499, -0.168497, 0.195268, 0.146329], [0.078258, -0.377709, -0.15634, -0.241083, -0.202319, 0.166636], [0.356866, 0.889886, 0.009272, 0.103748, 0.405012, 0.181776], [0.469468, 0.813534, -0.162528, 0.434685, 0.15251, 0.525715], [0.383107, 0.526222, 0.095095, 0.041336, 0.279525, 0.397317]], "network.10.bias": [-0.756031, -0.091443, -0.143426, -0.111834, -0.239132, -0.164134], "network.12.weight": [[-0.217345, 0.345875, -0.04494, -0.150088, -0.482142, -0.291796]], "network.12.bias": [0.591105]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7017310559749603, "train_acc": 0.445, "val_loss": 0.7034087181091309, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6850934624671936, "train_acc": 0.585, "val_loss": 0.7345874309539795, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6772367060184479, "train_acc": 0.585, "val_loss": 0.7205809950828552, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6565271615982056, "train_acc": 0.585, "val_loss": 0.6761946082115173, "val_acc": 0.48}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.5863622426986694, "train_acc": 0.585, "val_loss": 0.556773841381073, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5599464774131775, "train_acc": 0.525, "val_loss": 0.579200029373169, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5897092819213867, "train_acc": 0.72, "val_loss": 0.639808177947998, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6038461327552795, "train_acc": 0.68, "val_loss": 0.6237714290618896, "val_acc": 0.62}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5081981718540192, "train_acc": 0.765, "val_loss": 0.4884091317653656, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.40737877786159515, "train_acc": 0.855, "val_loss": 0.4132517874240875, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3428436666727066, "train_acc": 0.89, "val_loss": 0.9938081502914429, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.5878909379243851, "train_acc": 0.845, "val_loss": 0.40373530983924866, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.4026326686143875, "train_acc": 0.84, "val_loss": 0.45737048983573914, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.43683138489723206, "train_acc": 0.805, "val_loss": 0.47016045451164246, "val_acc": 0.76}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.41035445034503937, "train_acc": 0.81, "val_loss": 0.48512446880340576, "val_acc": 0.74}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7034087181091309, "final_val_loss": 0.556773841381073, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.579200029373169, "final_val_loss": 0.48512446880340576, "initial_val_acc": 0.8, "final_val_acc": 0.74, "best_val_acc": 0.84, "best_epoch": 9}, "improvement": 0.36, "first_improvement_epoch": 4}}
|
189
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 1.0, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3175, "learning_rate": 0.027312834315219497, "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: 5
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: [[13.793568, 14.155782, 14.858611, 15.284672, 15.425657, 15.653421, 16.457578, 19.580680, 22.048100, 154.083993], [17.798244, 18.217532, 19.622304, 20.634821, 20.895679, 20.995926, 21.136735, 24.629596, 26.296057, 32.416091], [11.243396, 11.430813, 11.820890, 12.729259, 12.820600, 13.626307, 14.133196, 18.829618, 20.268497, 109.958461], [18.689839, 18.838341, 20.431653, 20.687792, 21.450451, 21.771909, 22.448755, 24.222156, 27.307717, 179.991662], [21.074594, 21.370977, 21.651605, 22.141921, 22.543583, 25.240713, 30.516415, 31.937879, 34.623327, 148.149788], [14.868112, 15.607702, 17.050868, 17.175318, 18.385349, 19.636603, 20.713803, 24.441596, 25.215419, 165.889020], [22.484631, 23.012822, 23.567237, 25.123770, 25.836329, 29.713012, 32.190380, 32.581618, 33.897929, 79.622593]]
### 2
fourier: [[11.504040, 11.895584, 12.640295, 13.487575, 13.651044, 14.739291, 14.785206, 14.991568, 17.775682, 165.389688], [8.069076, 8.261126, 8.286114, 9.004825, 9.299084, 9.590686, 9.852254, 10.606055, 12.014365, 35.003667], [16.738084, 19.844478, 20.326225, 20.875290, 21.024774, 21.192373, 21.893754, 22.137464, 23.740961, 105.859392], [19.493239, 20.874481, 21.088963, 23.407950, 25.951186, 27.583822, 30.821449, 31.233301, 32.483455, 95.547234], [15.880416, 16.340375, 16.609431, 17.450910, 17.780426, 18.427494, 20.616819, 21.456525, 25.595864, 163.606120], [18.252420, 18.724915, 18.851137, 19.632918, 20.480117, 21.936822, 23.805228, 25.933488, 27.746288, 28.019377], [14.163522, 14.623052, 14.895501, 15.479044, 16.227392, 17.061469, 17.589955, 18.568727, 19.121949, 60.095442]]
### 4
fourier: [[15.572924, 16.025822, 16.434416, 16.532054, 17.025133, 19.808430, 20.334599, 20.787953, 23.810080, 121.077687], [15.609566, 15.821818, 16.186012, 16.656297, 19.473875, 19.478515, 21.317324, 21.471030, 26.062071, 58.168137], [19.853177, 20.322097, 20.541351, 22.427026, 25.503821, 25.649199, 25.782916, 29.794250, 34.304876, 228.353373], [18.037611, 19.297463, 19.648979, 21.385866, 22.591591, 24.175825, 25.370153, 25.942668, 30.327712, 58.433991], [25.724957, 25.816610, 25.935032, 26.399634, 32.231088, 32.819884, 33.605290, 38.633535, 41.199526, 271.718762], [14.495457, 14.937742, 15.351661, 15.770607, 15.911605, 19.135350, 19.256763, 19.804126, 21.480638, 45.585709], [12.640293, 12.897471, 12.920942, 14.051567, 14.407493, 14.734922, 15.433163, 17.596920, 19.795166, 170.201406]]
### 6
fourier: [[8.091658, 8.431616, 8.529357, 8.883918, 9.338647, 9.957595, 10.635631, 12.158731, 12.319808, 72.560578], [24.560778, 26.848597, 27.549192, 27.563878, 28.308130, 33.973278, 34.356756, 36.883026, 38.909512, 105.140485], [43.383886, 45.754733, 47.225198, 48.692689, 48.893422, 55.534508, 58.635037, 66.095218, 66.966923, 344.444723], [11.869338, 12.099181, 12.624367, 14.192572, 14.415121, 14.899281, 14.960713, 15.474936, 15.785151, 20.081360], [50.294206, 53.188950, 54.419342, 54.933066, 58.508685, 66.103981, 68.045286, 77.800190, 78.716799, 418.883054], [40.078847, 41.049709, 42.052258, 43.474098, 43.789329, 49.274484, 52.080895, 60.224591, 60.790163, 331.229344], [34.901492, 35.373659, 36.538579, 37.629121, 38.878736, 43.043112, 45.579543, 51.745278, 53.512521, 277.598966]]
### 8
fourier: [[52.643469, 53.095489, 57.157810, 59.048859, 65.716468, 72.220406, 72.499935, 78.889419, 89.727250, 525.340390], [68.791349, 69.359828, 74.744810, 76.121198, 83.443514, 92.787067, 93.307017, 102.171486, 115.528531, 692.267312], [69.810951, 70.326653, 76.419037, 78.468666, 85.919212, 96.036448, 96.191122, 104.640018, 118.305889, 720.381239], [99.326028, 100.618074, 108.329445, 111.397154, 122.671215, 135.717987, 135.789616, 148.678077, 169.043457, 1014.651817], [38.331631, 39.722641, 42.007458, 42.264750, 44.752116, 50.980184, 52.129866, 57.581912, 62.429246, 331.091022], [86.810232, 87.902525, 95.099535, 95.530332, 102.849977, 116.293791, 118.226820, 129.530565, 143.093975, 819.571322], [54.129806, 58.295030, 58.796960, 60.477275, 61.347998, 71.584106, 74.213763, 81.516788, 86.643566, 418.270828]]
### 10
fourier: [[251.973313, 253.056687, 273.167471, 282.937230, 313.599477, 344.742764, 344.779714, 376.490327, 428.648457, 2591.854185]]
## 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: 5
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: [[13.793568, 14.155782, 14.858611, 15.284672, 15.425657, 15.653421, 16.457578, 19.580680, 22.048100, 154.083993], [17.798244, 18.217532, 19.622304, 20.634821, 20.895679, 20.995926, 21.136735, 24.629596, 26.296057, 32.416091], [11.243396, 11.430813, 11.820890, 12.729259, 12.820600, 13.626307, 14.133196, 18.829618, 20.268497, 109.958461], [18.689839, 18.838341, 20.431653, 20.687792, 21.450451, 21.771909, 22.448755, 24.222156, 27.307717, 179.991662], [21.074594, 21.370977, 21.651605, 22.141921, 22.543583, 25.240713, 30.516415, 31.937879, 34.623327, 148.149788], [14.868112, 15.607702, 17.050868, 17.175318, 18.385349, 19.636603, 20.713803, 24.441596, 25.215419, 165.889020], [22.484631, 23.012822, 23.567237, 25.123770, 25.836329, 29.713012, 32.190380, 32.581618, 33.897929, 79.622593]]
### 2
fourier: [[11.504040, 11.895584, 12.640295, 13.487575, 13.651044, 14.739291, 14.785206, 14.991568, 17.775682, 165.389688], [8.069076, 8.261126, 8.286114, 9.004825, 9.299084, 9.590686, 9.852254, 10.606055, 12.014365, 35.003667], [16.738084, 19.844478, 20.326225, 20.875290, 21.024774, 21.192373, 21.893754, 22.137464, 23.740961, 105.859392], [19.493239, 20.874481, 21.088963, 23.407950, 25.951186, 27.583822, 30.821449, 31.233301, 32.483455, 95.547234], [15.880416, 16.340375, 16.609431, 17.450910, 17.780426, 18.427494, 20.616819, 21.456525, 25.595864, 163.606120], [18.252420, 18.724915, 18.851137, 19.632918, 20.480117, 21.936822, 23.805228, 25.933488, 27.746288, 28.019377], [14.163522, 14.623052, 14.895501, 15.479044, 16.227392, 17.061469, 17.589955, 18.568727, 19.121949, 60.095442]]
### 4
fourier: [[15.572924, 16.025822, 16.434416, 16.532054, 17.025133, 19.808430, 20.334599, 20.787953, 23.810080, 121.077687], [15.609566, 15.821818, 16.186012, 16.656297, 19.473875, 19.478515, 21.317324, 21.471030, 26.062071, 58.168137], [19.853177, 20.322097, 20.541351, 22.427026, 25.503821, 25.649199, 25.782916, 29.794250, 34.304876, 228.353373], [18.037611, 19.297463, 19.648979, 21.385866, 22.591591, 24.175825, 25.370153, 25.942668, 30.327712, 58.433991], [25.724957, 25.816610, 25.935032, 26.399634, 32.231088, 32.819884, 33.605290, 38.633535, 41.199526, 271.718762], [14.495457, 14.937742, 15.351661, 15.770607, 15.911605, 19.135350, 19.256763, 19.804126, 21.480638, 45.585709], [12.640293, 12.897471, 12.920942, 14.051567, 14.407493, 14.734922, 15.433163, 17.596920, 19.795166, 170.201406]]
### 6
fourier: [[8.091658, 8.431616, 8.529357, 8.883918, 9.338647, 9.957595, 10.635631, 12.158731, 12.319808, 72.560578], [24.560778, 26.848597, 27.549192, 27.563878, 28.308130, 33.973278, 34.356756, 36.883026, 38.909512, 105.140485], [43.383886, 45.754733, 47.225198, 48.692689, 48.893422, 55.534508, 58.635037, 66.095218, 66.966923, 344.444723], [11.869338, 12.099181, 12.624367, 14.192572, 14.415121, 14.899281, 14.960713, 15.474936, 15.785151, 20.081360], [50.294206, 53.188950, 54.419342, 54.933066, 58.508685, 66.103981, 68.045286, 77.800190, 78.716799, 418.883054], [40.078847, 41.049709, 42.052258, 43.474098, 43.789329, 49.274484, 52.080895, 60.224591, 60.790163, 331.229344], [34.901492, 35.373659, 36.538579, 37.629121, 38.878736, 43.043112, 45.579543, 51.745278, 53.512521, 277.598966]]
### 8
fourier: [[52.643469, 53.095489, 57.157810, 59.048859, 65.716468, 72.220406, 72.499935, 78.889419, 89.727250, 525.340390], [68.791349, 69.359828, 74.744810, 76.121198, 83.443514, 92.787067, 93.307017, 102.171486, 115.528531, 692.267312], [69.810951, 70.326653, 76.419037, 78.468666, 85.919212, 96.036448, 96.191122, 104.640018, 118.305889, 720.381239], [99.326028, 100.618074, 108.329445, 111.397154, 122.671215, 135.717987, 135.789616, 148.678077, 169.043457, 1014.651817], [38.331631, 39.722641, 42.007458, 42.264750, 44.752116, 50.980184, 52.129866, 57.581912, 62.429246, 331.091022], [86.810232, 87.902525, 95.099535, 95.530332, 102.849977, 116.293791, 118.226820, 129.530565, 143.093975, 819.571322], [54.129806, 58.295030, 58.796960, 60.477275, 61.347998, 71.584106, 74.213763, 81.516788, 86.643566, 418.270828]]
### 10
fourier: [[251.973313, 253.056687, 273.167471, 282.937230, 313.599477, 344.742764, 344.779714, 376.490327, 428.648457, 2591.854185]]
## 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": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.206215, -0.362084, -0.09703, -0.073736, -0.141864], [-0.189259, -0.473246, -0.024241, -0.076726, 0.627834], [-0.250057, -0.20327, 0.343732, 0.302962, -0.000343], [-0.063402, 0.06365, 0.407582, 0.473079, 0.249527], [0.730933, -0.129029, 0.067089, 0.305327, 0.131515], [-0.290917, -0.118378, -0.113778, -0.431353, -0.059332], [-0.099633, 0.13453, -0.382218, 0.683436, -0.374728]], "network.0.bias": [-0.259849, 0.726801, 0.536065, -0.210813, 0.014522, -0.02961, 0.558524], "network.2.weight": [[0.130102, -0.300321, -0.454758, -0.200412, -0.119663, 0.468753, -0.226623], [-0.24694, 0.608879, -0.022331, 0.068196, -0.118866, -0.250579, -0.032991], [-0.624946, 0.168131, 0.644613, -0.10534, -0.338467, -0.358681, 0.616241], [-0.649223, 0.563149, 0.693949, 0.220667, -0.656169, -0.397765, 0.413603], [0.358268, -0.57715, 0.317797, 0.18591, 0.42817, 0.16276, 0.234249], [-0.54239, 0.752964, 0.535506, -0.208781, 0.055779, -0.498225, -0.698405], [-0.066725, -0.022929, 0.574089, -0.273643, -0.035808, -0.410097, 0.68559]], "network.2.bias": [-0.248755, 0.10486, 0.292405, -0.032369, 0.527362, 0.280338, -0.199229], "network.4.weight": [[-0.394936, 0.043084, 0.11779, 0.577735, -0.28003, 0.273619, 0.580352], [-0.009982, -0.19297, -0.716652, -0.401982, 0.347713, -0.251968, 0.051716], [-0.082701, 0.199481, 0.229721, 0.765938, 0.160154, 0.731671, 0.543753], [-0.298852, 0.061259, -0.680919, -0.430596, 0.420617, -0.636155, -0.301728], [-0.593807, 0.269433, 0.668085, 0.724918, 0.000821, 0.792957, 0.648342], [0.322522, 0.366367, -0.051486, -0.595464, 0.327481, -0.402253, -0.621818], [-0.234549, 0.235391, 0.287079, 0.337249, 0.150404, 0.610666, 0.115408]], "network.4.bias": [0.282137, 0.371326, 0.018276, 0.61146, 0.103461, 0.371366, 0.248921], "network.6.weight": [[0.073213, -0.133868, -0.16944, 0.22398, -0.156339, 0.246616, 0.058024], [-0.689333, 0.331105, -0.229243, 0.485786, -0.247269, 0.189452, 0.110466], [0.306342, -0.584548, 0.394464, -0.700664, 0.638661, -0.512936, 0.345741], [0.112632, 0.301658, -0.053394, 0.476054, -0.303896, 0.258596, 0.330768], [0.659447, -0.275267, 0.732935, -0.673548, 0.746451, -0.452703, -0.055796], [0.269006, -0.030399, 0.477313, -0.661867, 0.457924, -0.589062, 0.508178], [0.149405, -0.009229, 0.382779, -0.822813, 0.570325, -0.06783, 0.274647]], "network.6.bias": [-0.201707, 0.650186, 0.276, 0.282084, 0.114447, 0.124742, -0.031115], "network.8.weight": [[-0.124904, -0.049219, 0.298705, -0.004205, 0.640739, 0.068914, 0.432636], [-0.424563, -0.354191, 0.27399, 0.239415, 0.502846, 0.730354, 0.412446], [-0.33942, -0.226526, 0.71794, 0.128465, 0.722387, 0.319974, 0.091244], [0.162308, -0.020484, 0.623098, -0.210104, 0.660818, 0.773771, 0.789424], [-0.243771, -0.069628, 0.077791, -0.430997, 0.292723, 0.283656, 0.320157], [0.13846, -0.534229, 0.399457, -0.298427, 0.679095, 0.63451, 0.547129], [0.16552, 0.68075, -0.096294, 0.34324, -0.438556, -0.333076, -0.419137]], "network.8.bias": [-0.319982, -0.190387, -0.17232, -0.229916, -0.142207, 0.02872, 0.29163], "network.10.weight": [[-0.673575, -0.724025, -0.698916, -0.647571, -0.15676, -0.637912, 0.310533]], "network.10.bias": [0.365309]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6816706955432892, "train_acc": 0.58, "val_loss": 0.6983689665794373, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6406709253787994, "train_acc": 0.58, "val_loss": 0.656870424747467, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6110377311706543, "train_acc": 0.51, "val_loss": 0.5129681825637817, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4920249730348587, "train_acc": 0.575, "val_loss": 0.422843337059021, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.40271201729774475, "train_acc": 0.92, "val_loss": 0.33935412764549255, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3308088779449463, "train_acc": 0.925, "val_loss": 0.28546401858329773, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.29614928364753723, "train_acc": 0.935, "val_loss": 0.25120407342910767, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.26903796195983887, "train_acc": 0.94, "val_loss": 0.2230282723903656, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.24008266627788544, "train_acc": 0.945, "val_loss": 0.18708302080631256, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2084120810031891, "train_acc": 0.95, "val_loss": 0.14301256835460663, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.1870749294757843, "train_acc": 0.95, "val_loss": 0.09771119803190231, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.17044498771429062, "train_acc": 0.95, "val_loss": 0.05537983030080795, "val_acc": 1.0}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6983689665794373, "final_val_loss": 0.656870424747467, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5129681825637817, "final_val_loss": 0.05537983030080795, "initial_val_acc": 0.46, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 10}, "improvement": 0.54, "first_improvement_epoch": 1}}
|
190
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.54, "improved_accuracy": 0.76, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7334, "learning_rate": 0.022360110974562676, "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: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.2.weight": [
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"network.6.weight": [
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]
}
## Activation Signature
### 0
fourier: [[14.813789, 15.305074, 16.932704, 18.482980, 18.563464, 19.405564, 20.364996, 21.708725, 24.072464, 25.493672], [18.707378, 18.935754, 19.705854, 20.388084, 21.074938, 26.403782, 27.248155, 27.350598, 31.959550, 95.962548], [14.299336, 14.775376, 14.865947, 15.216978, 15.237640, 16.007517, 18.094407, 18.273482, 23.963734, 101.785826], [15.426224, 15.440008, 17.142236, 18.321646, 19.217712, 20.505184, 21.102160, 21.668977, 27.498050, 50.672356], [11.888478, 11.897592, 13.066354, 13.794420, 13.907696, 15.159451, 15.561332, 16.691702, 16.832340, 133.256256], [11.805132, 11.891046, 12.291450, 13.073231, 14.065091, 14.459532, 16.188226, 16.812617, 17.470785, 110.538420], [12.050929, 12.194611, 12.810813, 12.968499, 13.103622, 16.106454, 19.036515, 19.406440, 21.841638, 114.047174], [11.585858, 12.419268, 12.863071, 13.020676, 13.646946, 13.980087, 15.177565, 16.009357, 16.878911, 18.680876]]
### 2
fourier: [[10.321220, 11.091169, 11.242431, 12.322527, 13.285945, 13.886894, 14.663837, 16.081875, 19.692026, 59.182176], [6.817722, 7.193554, 7.396221, 8.015421, 8.927712, 9.083121, 9.563402, 10.126358, 11.636193, 33.999452], [8.996020, 9.734935, 9.843297, 9.995768, 10.814176, 10.926861, 12.007210, 12.094379, 14.263649, 47.909099], [3.606631, 4.082858, 4.280295, 4.372137, 4.797634, 4.920339, 5.041741, 5.438032, 6.177003, 51.822009], [17.182306, 18.732227, 23.584637, 24.542815, 24.584379, 24.923427, 25.468412, 27.438391, 32.344723, 113.204582], [5.142155, 5.397084, 5.661900, 5.935138, 6.304333, 6.835207, 6.979710, 7.011677, 10.140971, 20.076372], [22.471703, 23.969558, 29.385673, 31.618492, 31.920766, 32.142603, 32.420732, 34.257782, 40.855261, 127.713961], [7.885419, 9.440063, 9.696146, 11.108789, 11.339130, 11.943757, 11.986364, 12.969917, 15.532516, 87.689024]]
### 4
fourier: [[13.971715, 17.067561, 17.419149, 19.337710, 20.129835, 21.702398, 22.388985, 23.161466, 27.742349, 94.043605], [14.899716, 16.800067, 19.870814, 20.997866, 21.609367, 22.032583, 22.156562, 25.563864, 28.470194, 110.743808], [7.058908, 7.195459, 7.901628, 8.678251, 8.867593, 9.138732, 9.768534, 9.894032, 11.007000, 36.194337], [5.625107, 5.970486, 6.037158, 6.851340, 6.927312, 7.284676, 7.317059, 8.536986, 10.771470, 26.434064], [9.549581, 10.377970, 10.892149, 12.329384, 12.773025, 12.986489, 14.359871, 15.228141, 18.173888, 49.986828], [4.510072, 5.262912, 5.660095, 5.676373, 5.704679, 5.755088, 5.973017, 6.786940, 7.092215, 25.584091], [8.082824, 8.836317, 9.300491, 9.490996, 9.940474, 10.223784, 11.904260, 12.528352, 13.926255, 23.794233], [11.537179, 12.745016, 14.630358, 15.097132, 16.947019, 17.197468, 18.018127, 19.178938, 20.034596, 24.036711]]
### 6
fourier: [[11.024474, 12.852869, 12.957139, 14.387115, 15.216594, 15.908179, 17.445213, 18.461144, 21.056120, 89.988406], [5.112136, 6.203310, 6.430917, 7.216319, 7.345915, 7.772527, 8.363776, 8.944175, 10.205210, 16.118556], [8.109298, 9.430745, 10.113512, 10.620754, 11.400229, 11.683336, 12.206313, 13.485863, 15.300015, 30.107944], [4.702790, 4.767903, 5.210529, 6.248203, 6.648630, 6.762911, 6.815495, 6.962943, 8.042639, 8.463847], [6.261096, 7.376528, 7.544673, 8.522741, 8.527207, 9.326666, 9.898531, 10.345715, 12.735034, 43.884780], [16.389259, 19.288343, 21.259513, 22.546345, 23.534660, 24.677792, 25.113773, 28.009302, 32.587834, 82.975848], [4.485137, 5.307452, 5.319454, 5.918358, 5.925109, 6.797789, 7.056532, 7.290187, 8.913120, 11.623895], [5.354879, 6.091670, 6.795909, 7.150834, 7.179581, 7.623075, 7.939279, 8.845282, 9.460881, 15.304673]]
### 8
fourier: [[12.717606, 15.019874, 16.587970, 17.571262, 18.000611, 18.425068, 19.620927, 21.846034, 24.551357, 69.775229]]
## 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: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
"network.8.bias": [
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}
## Activation Signature
### 0
fourier: [[14.813789, 15.305074, 16.932704, 18.482980, 18.563464, 19.405564, 20.364996, 21.708725, 24.072464, 25.493672], [18.707378, 18.935754, 19.705854, 20.388084, 21.074938, 26.403782, 27.248155, 27.350598, 31.959550, 95.962548], [14.299336, 14.775376, 14.865947, 15.216978, 15.237640, 16.007517, 18.094407, 18.273482, 23.963734, 101.785826], [15.426224, 15.440008, 17.142236, 18.321646, 19.217712, 20.505184, 21.102160, 21.668977, 27.498050, 50.672356], [11.888478, 11.897592, 13.066354, 13.794420, 13.907696, 15.159451, 15.561332, 16.691702, 16.832340, 133.256256], [11.805132, 11.891046, 12.291450, 13.073231, 14.065091, 14.459532, 16.188226, 16.812617, 17.470785, 110.538420], [12.050929, 12.194611, 12.810813, 12.968499, 13.103622, 16.106454, 19.036515, 19.406440, 21.841638, 114.047174], [11.585858, 12.419268, 12.863071, 13.020676, 13.646946, 13.980087, 15.177565, 16.009357, 16.878911, 18.680876]]
### 2
fourier: [[10.321220, 11.091169, 11.242431, 12.322527, 13.285945, 13.886894, 14.663837, 16.081875, 19.692026, 59.182176], [6.817722, 7.193554, 7.396221, 8.015421, 8.927712, 9.083121, 9.563402, 10.126358, 11.636193, 33.999452], [8.996020, 9.734935, 9.843297, 9.995768, 10.814176, 10.926861, 12.007210, 12.094379, 14.263649, 47.909099], [3.606631, 4.082858, 4.280295, 4.372137, 4.797634, 4.920339, 5.041741, 5.438032, 6.177003, 51.822009], [17.182306, 18.732227, 23.584637, 24.542815, 24.584379, 24.923427, 25.468412, 27.438391, 32.344723, 113.204582], [5.142155, 5.397084, 5.661900, 5.935138, 6.304333, 6.835207, 6.979710, 7.011677, 10.140971, 20.076372], [22.471703, 23.969558, 29.385673, 31.618492, 31.920766, 32.142603, 32.420732, 34.257782, 40.855261, 127.713961], [7.885419, 9.440063, 9.696146, 11.108789, 11.339130, 11.943757, 11.986364, 12.969917, 15.532516, 87.689024]]
### 4
fourier: [[13.971715, 17.067561, 17.419149, 19.337710, 20.129835, 21.702398, 22.388985, 23.161466, 27.742349, 94.043605], [14.899716, 16.800067, 19.870814, 20.997866, 21.609367, 22.032583, 22.156562, 25.563864, 28.470194, 110.743808], [7.058908, 7.195459, 7.901628, 8.678251, 8.867593, 9.138732, 9.768534, 9.894032, 11.007000, 36.194337], [5.625107, 5.970486, 6.037158, 6.851340, 6.927312, 7.284676, 7.317059, 8.536986, 10.771470, 26.434064], [9.549581, 10.377970, 10.892149, 12.329384, 12.773025, 12.986489, 14.359871, 15.228141, 18.173888, 49.986828], [4.510072, 5.262912, 5.660095, 5.676373, 5.704679, 5.755088, 5.973017, 6.786940, 7.092215, 25.584091], [8.082824, 8.836317, 9.300491, 9.490996, 9.940474, 10.223784, 11.904260, 12.528352, 13.926255, 23.794233], [11.537179, 12.745016, 14.630358, 15.097132, 16.947019, 17.197468, 18.018127, 19.178938, 20.034596, 24.036711]]
### 6
fourier: [[11.024474, 12.852869, 12.957139, 14.387115, 15.216594, 15.908179, 17.445213, 18.461144, 21.056120, 89.988406], [5.112136, 6.203310, 6.430917, 7.216319, 7.345915, 7.772527, 8.363776, 8.944175, 10.205210, 16.118556], [8.109298, 9.430745, 10.113512, 10.620754, 11.400229, 11.683336, 12.206313, 13.485863, 15.300015, 30.107944], [4.702790, 4.767903, 5.210529, 6.248203, 6.648630, 6.762911, 6.815495, 6.962943, 8.042639, 8.463847], [6.261096, 7.376528, 7.544673, 8.522741, 8.527207, 9.326666, 9.898531, 10.345715, 12.735034, 43.884780], [16.389259, 19.288343, 21.259513, 22.546345, 23.534660, 24.677792, 25.113773, 28.009302, 32.587834, 82.975848], [4.485137, 5.307452, 5.319454, 5.918358, 5.925109, 6.797789, 7.056532, 7.290187, 8.913120, 11.623895], [5.354879, 6.091670, 6.795909, 7.150834, 7.179581, 7.623075, 7.939279, 8.845282, 9.460881, 15.304673]]
### 8
fourier: [[12.717606, 15.019874, 16.587970, 17.571262, 18.000611, 18.425068, 19.620927, 21.846034, 24.551357, 69.775229]]
## 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": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.452566, 0.080764, 0.14761, -0.320821, 0.006856], [0.603625, -0.370045, 0.327086, 0.006477, -0.055444], [0.183127, 0.153092, 0.197416, -0.291281, 0.293372], [0.550268, -0.154353, 0.114276, 0.01723, 0.064389], [-0.127112, 0.154491, 0.40229, 0.203009, 0.033682], [0.171912, -0.366727, 0.140344, -0.235143, -0.09059], [0.317124, 0.253911, -0.176231, 0.248743, 0.007031], [0.389348, 0.045102, -0.241908, -0.105703, 0.2198]], "network.0.bias": [-0.289941, 0.360621, 0.474527, -0.195559, 0.040071, -0.451066, 0.235905, -0.046615], "network.2.weight": [[0.382074, 0.207269, 0.161314, 0.154951, -0.272598, -0.138728, -0.09881, -0.004034], [-0.065191, -0.156998, 0.261002, 0.20684, 0.250449, 0.227882, 0.047401, 0.327566], [-0.204963, -0.139425, 0.431361, -0.278484, 0.377056, 0.041274, 0.183803, -0.441429], [0.110639, 0.064768, 0.135512, 0.031614, 0.126727, 0.095122, 0.062375, -0.294376], [0.254304, 0.232823, 0.170288, 0.475789, -0.101379, -0.089475, 0.242454, 0.294537], [-0.196737, 0.013904, 0.364368, -0.052311, 0.082068, -0.249218, -0.247455, -0.300382], [0.333232, 0.267382, 0.367546, 0.47746, -0.161214, 0.31975, 0.521929, 0.206602], [0.105194, 0.349204, 0.129263, -0.048242, -0.277502, -0.175557, 0.381081, -0.159247]], "network.2.bias": [0.492238, -0.321272, -0.152481, 0.1267, 0.180895, -0.267231, -0.145799, 0.402653], "network.4.weight": [[0.096152, -0.03837, -0.50867, 0.095866, 0.037625, -0.222003, 0.298135, 0.516231], [0.491782, 0.161607, -0.200595, 0.110858, 0.444605, -0.415696, 0.018379, 0.051644], [0.049761, -0.155917, -0.081499, -0.183016, -0.052341, -0.208615, -0.214812, 0.003386], [-0.305314, 0.42362, 0.24364, 0.077082, 0.112644, -0.127913, -0.091442, -0.350934], [0.375496, -0.148319, -0.309161, -0.087184, 0.122799, 0.044392, 0.19593, -0.113628], [-0.21048, 0.053624, 0.106414, 0.037149, 0.210711, 0.442043, 0.108403, -0.032802], [-0.18505, -0.049739, 0.412497, 0.26471, -0.232975, 0.458674, 0.024577, -0.064646], [-0.199834, 0.260412, 0.321117, 0.294035, -0.27635, 0.079689, -0.351347, 0.169066]], "network.4.bias": [0.338513, 0.347792, 0.083948, -0.122247, 0.268264, -0.031021, -0.168416, 0.333483], "network.6.weight": [[0.399717, 0.182867, 0.125866, -0.437392, 0.368759, -0.410186, -0.139016, 0.120801], [-0.112214, -0.102459, 0.273166, 0.14053, -0.290811, 0.189743, 0.208251, -0.151234], [-0.297086, -0.217761, -0.346008, 0.001792, 0.004844, 0.000136, 0.128026, 0.10654], [0.050329, 0.283236, 0.254727, 0.244783, 0.024227, -0.048249, 0.385059, -0.030215], [0.250784, -0.104721, 0.018105, -0.20757, 0.395673, 0.015003, 0.201809, -0.334497], [0.316128, 0.419679, 0.06195, -0.113724, 0.356885, 0.288987, -0.359396, -0.434633], [0.40716, 0.014872, 0.053011, -0.300135, -0.157149, -0.184862, 0.219216, -0.105582], [0.138835, 0.036244, 0.14393, 0.099733, 0.320291, 0.051946, -0.082957, 0.16209]], "network.6.bias": [0.276327, 0.206686, 0.139017, -0.385544, 0.234637, 0.02541, -0.147076, -0.201508], "network.8.weight": [[-0.357096, 0.085124, 0.081355, -0.003518, -0.330101, -0.340984, -0.069656, -0.180241]], "network.8.bias": [0.018925]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6940335929393768, "train_acc": 0.555, "val_loss": 0.6891427636146545, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.685752809047699, "train_acc": 0.555, "val_loss": 0.6773101687431335, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6612434983253479, "train_acc": 0.555, "val_loss": 0.6459490060806274, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6244350671768188, "train_acc": 0.56, "val_loss": 0.5895477533340454, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.553332656621933, "train_acc": 0.795, "val_loss": 0.5214499831199646, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4911247044801712, "train_acc": 0.815, "val_loss": 0.5530772805213928, "val_acc": 0.68}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5059656500816345, "train_acc": 0.7, "val_loss": 0.5652831196784973, "val_acc": 0.68}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5220654904842377, "train_acc": 0.73, "val_loss": 0.6095923185348511, "val_acc": 0.66}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6891427636146545, "final_val_loss": 0.6459490060806274, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5895477533340454, "final_val_loss": 0.6095923185348511, "initial_val_acc": 0.76, "final_val_acc": 0.66, "best_val_acc": 0.76, "best_epoch": 3}, "improvement": 0.21999999999999997, "first_improvement_epoch": 2}}
|
191
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3085, "learning_rate": 0.07808356965424759, "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: 5
Neurons per Layer: 8
Activation Function: relu
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: [[24.033215, 25.045871, 25.068552, 27.318717, 28.684624, 33.288376, 33.899563, 38.406825, 40.468495, 233.938681], [34.560743, 35.492126, 37.129039, 41.339400, 42.986028, 44.080317, 44.105609, 44.124471, 45.176644, 81.103758], [19.327355, 19.431070, 20.084530, 21.672884, 24.208232, 27.171681, 27.318831, 27.885930, 33.553541, 218.337020], [16.235002, 16.346380, 16.801346, 17.546570, 17.661012, 18.284180, 21.343229, 23.334529, 23.402211, 56.855850], [27.806900, 27.919979, 28.770512, 30.061486, 30.378511, 34.450448, 35.281534, 39.605615, 43.464508, 176.413857], [32.945985, 34.523235, 35.136162, 37.394393, 37.454718, 41.075371, 42.010920, 43.957585, 49.152028, 227.761766], [36.602140, 37.179529, 37.662569, 41.376788, 44.553619, 45.295089, 48.420770, 53.900644, 58.782657, 305.666811], [21.449305, 22.800164, 22.986993, 23.522804, 26.130269, 29.685207, 32.311975, 33.553907, 33.883950, 214.544317]]
### 2
fourier: [[17.947720, 18.309204, 21.317804, 21.857217, 23.584649, 25.307605, 26.079443, 27.147661, 27.590374, 32.701974], [58.709524, 60.247461, 61.464138, 63.099790, 64.756967, 77.712850, 78.972533, 80.392673, 84.525883, 440.120125], [7.593236, 7.788704, 7.932246, 8.764890, 9.354579, 9.976407, 10.235821, 12.650804, 12.731931, 94.769032], [43.613225, 46.789873, 47.330941, 48.039886, 55.230687, 58.268037, 59.515105, 59.949228, 65.155682, 278.317294], [62.219927, 62.868778, 64.720677, 64.939631, 69.393824, 74.720562, 81.507166, 84.397235, 86.745891, 447.265727], [61.257759, 61.396663, 64.973365, 68.329573, 68.993771, 71.827635, 81.386020, 92.554820, 93.958847, 625.871280], [39.204067, 41.082045, 42.154441, 43.267092, 46.628016, 52.685687, 53.789143, 54.043006, 58.232503, 251.454730], [31.666572, 31.781823, 32.133773, 33.609894, 34.977167, 36.835228, 38.863419, 43.785643, 43.847939, 218.381354]]
### 4
fourier: [[21.102977, 21.262516, 23.302109, 23.697509, 24.187767, 24.262726, 28.394857, 30.440505, 30.535056, 192.159585], [39.571921, 39.616312, 43.844311, 43.938477, 45.610131, 51.993841, 52.355133, 56.347319, 57.759815, 276.760558], [35.334844, 35.537324, 40.491825, 40.628474, 40.733053, 45.620928, 48.574721, 51.045212, 51.502726, 238.532917], [50.410969, 50.660125, 52.349502, 54.707131, 57.334080, 65.397048, 66.845371, 67.788520, 73.209169, 379.775365], [40.233657, 40.486056, 42.765839, 43.488624, 44.606496, 46.918018, 49.229278, 55.300282, 56.946678, 324.128957], [14.447908, 14.503358, 15.199753, 15.612609, 15.741519, 19.962352, 20.148965, 20.397855, 20.713582, 148.858314], [3.690864, 3.856807, 3.974847, 4.075250, 4.099975, 4.120797, 4.419076, 4.680563, 5.223668, 54.941537], [13.684911, 13.813411, 14.534085, 14.871271, 14.930219, 15.998861, 18.027998, 19.479543, 19.513403, 119.225336]]
### 6
fourier: [[6.782242, 7.216325, 7.334507, 7.978538, 8.348126, 8.521284, 8.622649, 10.121847, 10.235360, 87.469107], [30.319133, 30.589808, 34.128198, 34.143884, 35.083677, 36.564037, 41.152927, 41.539243, 42.349099, 246.885304], [5.249659, 5.476733, 5.768918, 5.968056, 6.480433, 6.654420, 6.861542, 7.701993, 7.891673, 54.480981], [35.422208, 35.662770, 40.529923, 40.727696, 41.284672, 45.161715, 49.135379, 49.180221, 51.489859, 277.057407], [14.173571, 15.105156, 15.854246, 16.266249, 16.356311, 17.120158, 18.411105, 18.655328, 19.740344, 114.829974], [31.734968, 31.852677, 33.010927, 34.413447, 36.641249, 40.855793, 42.276091, 42.308344, 46.394463, 245.638101], [12.268253, 14.303144, 14.507449, 15.222476, 15.355336, 15.737975, 16.781132, 17.715769, 18.053768, 36.715553], [23.816817, 25.283792, 26.228001, 26.768898, 27.695189, 28.707937, 31.168514, 33.972289, 35.893059, 210.888029]]
### 8
fourier: [[19.583525, 20.570681, 21.923226, 22.305807, 22.837757, 23.064900, 24.834211, 28.497952, 29.926295, 188.826350], [28.200730, 28.319029, 31.657873, 32.728587, 33.293606, 35.934568, 36.572176, 37.603248, 41.146866, 238.739751], [16.084503, 17.443815, 17.898360, 18.042882, 19.799853, 20.641066, 21.450138, 23.381831, 25.221077, 168.145203], [52.346168, 52.517138, 58.898351, 59.181327, 62.951745, 68.784913, 69.511103, 69.691680, 78.331113, 440.755867], [27.283450, 28.568504, 29.500061, 30.660063, 32.719157, 36.441276, 36.900642, 37.120498, 41.169069, 220.487788], [24.473235, 24.787941, 27.150960, 28.264759, 28.780258, 29.817953, 30.795928, 32.153287, 34.673394, 216.284678], [25.421185, 28.019328, 29.036287, 29.796259, 31.297997, 31.651533, 33.412710, 38.407136, 40.688736, 251.258509], [22.331550, 22.407649, 25.229148, 25.756802, 26.097995, 28.308543, 29.875645, 30.325809, 32.393370, 154.580520]]
### 10
fourier: [[44.711214, 46.436038, 46.526980, 48.681525, 53.188688, 57.081873, 57.419509, 61.074478, 67.129290, 314.137127]]
## 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: 5
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: [[24.033215, 25.045871, 25.068552, 27.318717, 28.684624, 33.288376, 33.899563, 38.406825, 40.468495, 233.938681], [34.560743, 35.492126, 37.129039, 41.339400, 42.986028, 44.080317, 44.105609, 44.124471, 45.176644, 81.103758], [19.327355, 19.431070, 20.084530, 21.672884, 24.208232, 27.171681, 27.318831, 27.885930, 33.553541, 218.337020], [16.235002, 16.346380, 16.801346, 17.546570, 17.661012, 18.284180, 21.343229, 23.334529, 23.402211, 56.855850], [27.806900, 27.919979, 28.770512, 30.061486, 30.378511, 34.450448, 35.281534, 39.605615, 43.464508, 176.413857], [32.945985, 34.523235, 35.136162, 37.394393, 37.454718, 41.075371, 42.010920, 43.957585, 49.152028, 227.761766], [36.602140, 37.179529, 37.662569, 41.376788, 44.553619, 45.295089, 48.420770, 53.900644, 58.782657, 305.666811], [21.449305, 22.800164, 22.986993, 23.522804, 26.130269, 29.685207, 32.311975, 33.553907, 33.883950, 214.544317]]
### 2
fourier: [[17.947720, 18.309204, 21.317804, 21.857217, 23.584649, 25.307605, 26.079443, 27.147661, 27.590374, 32.701974], [58.709524, 60.247461, 61.464138, 63.099790, 64.756967, 77.712850, 78.972533, 80.392673, 84.525883, 440.120125], [7.593236, 7.788704, 7.932246, 8.764890, 9.354579, 9.976407, 10.235821, 12.650804, 12.731931, 94.769032], [43.613225, 46.789873, 47.330941, 48.039886, 55.230687, 58.268037, 59.515105, 59.949228, 65.155682, 278.317294], [62.219927, 62.868778, 64.720677, 64.939631, 69.393824, 74.720562, 81.507166, 84.397235, 86.745891, 447.265727], [61.257759, 61.396663, 64.973365, 68.329573, 68.993771, 71.827635, 81.386020, 92.554820, 93.958847, 625.871280], [39.204067, 41.082045, 42.154441, 43.267092, 46.628016, 52.685687, 53.789143, 54.043006, 58.232503, 251.454730], [31.666572, 31.781823, 32.133773, 33.609894, 34.977167, 36.835228, 38.863419, 43.785643, 43.847939, 218.381354]]
### 4
fourier: [[21.102977, 21.262516, 23.302109, 23.697509, 24.187767, 24.262726, 28.394857, 30.440505, 30.535056, 192.159585], [39.571921, 39.616312, 43.844311, 43.938477, 45.610131, 51.993841, 52.355133, 56.347319, 57.759815, 276.760558], [35.334844, 35.537324, 40.491825, 40.628474, 40.733053, 45.620928, 48.574721, 51.045212, 51.502726, 238.532917], [50.410969, 50.660125, 52.349502, 54.707131, 57.334080, 65.397048, 66.845371, 67.788520, 73.209169, 379.775365], [40.233657, 40.486056, 42.765839, 43.488624, 44.606496, 46.918018, 49.229278, 55.300282, 56.946678, 324.128957], [14.447908, 14.503358, 15.199753, 15.612609, 15.741519, 19.962352, 20.148965, 20.397855, 20.713582, 148.858314], [3.690864, 3.856807, 3.974847, 4.075250, 4.099975, 4.120797, 4.419076, 4.680563, 5.223668, 54.941537], [13.684911, 13.813411, 14.534085, 14.871271, 14.930219, 15.998861, 18.027998, 19.479543, 19.513403, 119.225336]]
### 6
fourier: [[6.782242, 7.216325, 7.334507, 7.978538, 8.348126, 8.521284, 8.622649, 10.121847, 10.235360, 87.469107], [30.319133, 30.589808, 34.128198, 34.143884, 35.083677, 36.564037, 41.152927, 41.539243, 42.349099, 246.885304], [5.249659, 5.476733, 5.768918, 5.968056, 6.480433, 6.654420, 6.861542, 7.701993, 7.891673, 54.480981], [35.422208, 35.662770, 40.529923, 40.727696, 41.284672, 45.161715, 49.135379, 49.180221, 51.489859, 277.057407], [14.173571, 15.105156, 15.854246, 16.266249, 16.356311, 17.120158, 18.411105, 18.655328, 19.740344, 114.829974], [31.734968, 31.852677, 33.010927, 34.413447, 36.641249, 40.855793, 42.276091, 42.308344, 46.394463, 245.638101], [12.268253, 14.303144, 14.507449, 15.222476, 15.355336, 15.737975, 16.781132, 17.715769, 18.053768, 36.715553], [23.816817, 25.283792, 26.228001, 26.768898, 27.695189, 28.707937, 31.168514, 33.972289, 35.893059, 210.888029]]
### 8
fourier: [[19.583525, 20.570681, 21.923226, 22.305807, 22.837757, 23.064900, 24.834211, 28.497952, 29.926295, 188.826350], [28.200730, 28.319029, 31.657873, 32.728587, 33.293606, 35.934568, 36.572176, 37.603248, 41.146866, 238.739751], [16.084503, 17.443815, 17.898360, 18.042882, 19.799853, 20.641066, 21.450138, 23.381831, 25.221077, 168.145203], [52.346168, 52.517138, 58.898351, 59.181327, 62.951745, 68.784913, 69.511103, 69.691680, 78.331113, 440.755867], [27.283450, 28.568504, 29.500061, 30.660063, 32.719157, 36.441276, 36.900642, 37.120498, 41.169069, 220.487788], [24.473235, 24.787941, 27.150960, 28.264759, 28.780258, 29.817953, 30.795928, 32.153287, 34.673394, 216.284678], [25.421185, 28.019328, 29.036287, 29.796259, 31.297997, 31.651533, 33.412710, 38.407136, 40.688736, 251.258509], [22.331550, 22.407649, 25.229148, 25.756802, 26.097995, 28.308543, 29.875645, 30.325809, 32.393370, 154.580520]]
### 10
fourier: [[44.711214, 46.436038, 46.526980, 48.681525, 53.188688, 57.081873, 57.419509, 61.074478, 67.129290, 314.137127]]
## 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": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.739852, -0.007038, 0.02299, 0.537276, 0.280782], [-0.409478, -1.033232, -0.390588, 0.480122, 0.427169], [-0.275084, -0.149966, -0.266104, -0.422993, -0.320086], [0.087157, -0.113912, -0.181503, 0.341578, -0.560364], [0.715588, 0.26653, 0.452288, -0.046639, -0.485345], [0.763393, 0.320156, 0.626927, -0.08296, -0.275041], [0.933781, 0.762635, -0.090843, 0.473782, -0.167148], [-0.173954, -0.329964, -0.029102, -0.358033, -0.602556]], "network.0.bias": [0.144959, 0.750656, 0.047349, -0.194859, 0.337796, 0.204832, 0.22448, 0.005643], "network.2.weight": [[-0.286256, -0.506196, -0.321527, -0.089795, 0.379209, 0.243114, 0.063815, -0.003255], [0.443243, -0.664233, 0.067558, 0.502887, 0.73884, 0.365301, 0.460291, 0.179191], [-0.178137, -0.240912, -0.070671, -0.055322, 0.011617, -0.199184, 0.051377, -0.296484], [0.036712, 0.73344, 0.211736, 0.266879, -0.258586, -0.149376, -0.838517, 0.110048], [-0.246008, 0.525016, -0.058628, 0.47668, -0.328045, -0.23961, -1.053092, -0.301567], [-0.892888, -0.134062, 0.098225, -0.330005, -0.113247, -0.164431, -0.952755, 0.079733], [-0.313288, 0.798837, -0.208864, 0.091236, -0.51738, 0.187169, -0.594402, 0.118151], [0.068771, -0.17304, -0.129292, 0.170308, 0.361103, 0.52266, 0.066766, 0.490174]], "network.2.bias": [-0.464746, -0.012182, -0.118514, 0.094211, 0.144679, -0.583989, 0.14057, -0.01022], "network.4.weight": [[0.268061, -0.244739, 0.107158, -0.279056, 0.112176, -0.083752, -0.330685, -0.352992], [0.044384, -0.405305, 0.034404, 0.457132, 0.520859, 0.555393, 0.498342, -0.496478], [-0.008537, -0.404274, 0.318375, 0.666372, 0.389008, 0.101737, 0.597449, -0.322907], [0.340163, 0.690532, -0.132775, -0.368353, -0.605766, -0.244616, -0.183722, 0.17262], [-0.230303, -0.651349, 0.092147, -0.427553, 0.132836, -0.459908, -0.557626, 0.001009], [0.232294, -0.276334, -0.118063, -0.009837, -0.182422, -0.348354, 0.206199, -0.021043], [0.319827, -0.105998, -0.062861, -0.339276, -0.13573, -0.081601, -0.216563, -0.013222], [0.118797, -0.007881, -0.167691, 0.00937, -0.194356, -0.399854, -0.094929, -0.480796]], "network.4.bias": [-0.17613, -0.036224, -0.043568, 0.260498, -0.120295, -0.418966, -0.196727, -0.178392], "network.6.weight": [[-0.052612, -0.218838, -0.273514, -0.146584, -0.123245, 0.265105, -0.083525, -0.312217], [0.089857, -0.66317, -0.513144, 0.550092, 0.261753, -0.207322, -0.182454, 0.418734], [-0.215904, -0.102024, -0.31034, -0.112353, -0.003696, -0.055013, -0.336305, 0.176684], [0.109173, -0.712552, -0.427679, 0.676582, 0.379874, 0.359632, 0.141528, 0.263472], [-0.139958, -0.44222, -0.680505, 0.202122, -0.115172, 0.060604, 0.240586, -0.10738], [0.063433, -0.014032, -0.213252, 0.627004, -0.259853, 0.128677, -0.329759, -0.083187], [-0.032903, 0.512963, 0.808796, -0.154733, 0.307121, 0.313231, -0.140152, 0.096857], [0.019015, -0.022369, -0.348473, -0.497923, 0.002594, -0.185685, 0.012627, -0.295738]], "network.6.bias": [-0.284946, 0.547574, -0.071463, 0.337523, 0.56143, 0.092901, 0.078697, -0.171431], "network.8.weight": [[-0.043643, 0.076413, -0.052625, -0.114472, -0.335381, -0.484138, -0.414858, -0.268391], [0.061815, 0.652006, -0.161102, 0.505521, 0.134071, -0.349658, -0.416606, 0.516999], [0.093454, -0.286559, 0.238594, -0.28826, 0.048609, 0.015039, -0.132307, -0.285729], [0.048384, 0.643073, 0.335481, 0.813652, 0.688595, -0.092462, -0.480312, -0.109144], [0.04885, 0.217579, -0.109041, 0.382281, -0.166181, 0.311168, -0.21237, 0.057999], [-0.246124, 0.749002, -0.039537, 0.323204, 0.246839, -0.419672, -0.431871, 0.518844], [0.112278, -0.336647, -0.011828, 0.007575, -0.536264, -0.403067, -0.527519, -0.237539], [-0.212931, 0.175618, -0.029768, 0.240734, -0.030932, 0.25388, -0.434219, 0.325515]], "network.8.bias": [-0.09326, 0.073366, -0.231803, -0.073725, 0.035997, 0.170745, 0.058724, -0.114451], "network.10.weight": [[-0.175647, 0.05129, 0.026905, -0.716771, -0.246573, 0.027849, -0.115882, -0.148476]], "network.10.bias": [0.752215]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7048928737640381, "train_acc": 0.465, "val_loss": 0.6932936310768127, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6438134610652924, "train_acc": 0.575, "val_loss": 0.6148065328598022, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5647273063659668, "train_acc": 0.55, "val_loss": 0.4645853340625763, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.46617981791496277, "train_acc": 0.805, "val_loss": 0.4585947096347809, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.42141711711883545, "train_acc": 0.91, "val_loss": 0.41508251428604126, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3645513653755188, "train_acc": 0.9, "val_loss": 0.32430556416511536, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.44148367643356323, "train_acc": 0.875, "val_loss": 0.3357304036617279, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.32647132873535156, "train_acc": 0.91, "val_loss": 0.43677109479904175, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3909682035446167, "train_acc": 0.865, "val_loss": 0.42576494812965393, "val_acc": 0.82}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6932936310768127, "final_val_loss": 0.6148065328598022, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.4645853340625763, "final_val_loss": 0.42576494812965393, "initial_val_acc": 0.8, "final_val_acc": 0.82, "best_val_acc": 0.92, "best_epoch": 6}, "improvement": 0.42000000000000004, "first_improvement_epoch": 1}}
|
192
|
{"target_pattern": "alternating", "degraded_accuracy": 0.66, "improved_accuracy": 0.98, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3540, "learning_rate": 0.04656787815959527, "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: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[29.773462, 31.311418, 31.745684, 31.998820, 33.168454, 34.223257, 38.270990, 38.498902, 40.309873, 67.681500], [24.107571, 24.368167, 24.409892, 25.649812, 26.191329, 27.761561, 28.052250, 29.659428, 31.993735, 33.409773], [24.678588, 24.776649, 26.335195, 28.925608, 34.654042, 35.785062, 35.970824, 38.734426, 47.202106, 182.999874], [19.848231, 20.880791, 22.025159, 22.574883, 25.912302, 27.251761, 27.853195, 28.469025, 31.001981, 32.017694], [23.107206, 23.334981, 24.510410, 24.642112, 24.651576, 26.792122, 28.504217, 29.766960, 36.663978, 76.791239], [22.649893, 23.050271, 26.462304, 27.848287, 30.112686, 32.051799, 32.132301, 32.318968, 32.860169, 72.235253]]
### 2
fourier: [[11.382586, 11.835927, 12.030963, 12.737691, 12.905480, 13.956041, 14.020517, 15.346202, 16.470092, 134.406244], [29.682497, 30.810765, 32.223242, 33.501025, 36.941697, 38.743158, 38.829451, 40.509000, 41.712479, 228.464847], [28.741927, 30.934694, 32.962414, 36.416589, 38.912616, 43.913337, 44.091520, 47.370805, 54.341801, 239.102477], [29.494426, 29.865728, 31.423879, 33.647897, 34.839121, 36.114337, 39.290492, 39.407481, 39.798814, 232.085111], [19.986452, 20.683841, 21.186091, 21.983817, 22.218919, 23.498647, 24.162235, 28.036705, 29.133865, 30.003860], [17.849171, 17.862205, 18.008550, 18.537579, 18.571261, 23.312745, 24.696988, 30.008494, 39.439439, 57.211469]]
### 4
fourier: [[67.200972, 77.575971, 79.598789, 80.515975, 89.116267, 89.851716, 94.460985, 99.515589, 106.317541, 613.037927], [16.623911, 18.130103, 19.516178, 19.905043, 20.581178, 21.450445, 23.695902, 25.379215, 27.747653, 112.621875], [19.756740, 22.039764, 23.128789, 23.896753, 26.000608, 26.991106, 28.465652, 31.240361, 35.324463, 40.543994], [12.082511, 12.402076, 13.453672, 13.855824, 14.235362, 15.294788, 17.263895, 17.682297, 20.998782, 108.507287], [12.717819, 12.737485, 12.940641, 12.974967, 14.187907, 16.170177, 16.760580, 19.077187, 22.171617, 35.744466], [16.906694, 18.528941, 18.859401, 20.257068, 22.984827, 24.649833, 25.061828, 26.771102, 28.371085, 33.123080]]
### 6
fourier: [[26.896695, 27.670785, 28.021359, 29.142350, 29.315240, 31.322231, 36.641360, 40.050882, 43.620154, 69.322435], [41.153452, 42.621988, 44.548787, 46.846180, 49.952897, 52.834326, 55.580870, 56.047077, 56.208912, 310.907032], [24.724467, 27.144756, 30.706666, 31.939659, 32.004061, 37.325065, 37.749000, 38.728435, 42.818320, 273.402541], [25.310515, 25.918225, 26.077495, 26.499796, 26.577346, 28.550561, 33.179279, 36.119751, 41.081635, 102.111816], [38.173986, 39.287831, 40.552551, 42.725144, 45.074421, 47.882513, 50.377277, 52.235677, 52.431830, 266.939328], [53.880669, 55.504304, 57.709201, 60.160208, 64.685613, 65.788941, 70.976733, 73.839148, 73.862545, 393.960053]]
### 8
fourier: [[72.954803, 78.436777, 80.854946, 83.194868, 97.186726, 97.366973, 97.455687, 125.306880, 125.955462, 356.149836]]
## 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: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
fourier: [[29.773462, 31.311418, 31.745684, 31.998820, 33.168454, 34.223257, 38.270990, 38.498902, 40.309873, 67.681500], [24.107571, 24.368167, 24.409892, 25.649812, 26.191329, 27.761561, 28.052250, 29.659428, 31.993735, 33.409773], [24.678588, 24.776649, 26.335195, 28.925608, 34.654042, 35.785062, 35.970824, 38.734426, 47.202106, 182.999874], [19.848231, 20.880791, 22.025159, 22.574883, 25.912302, 27.251761, 27.853195, 28.469025, 31.001981, 32.017694], [23.107206, 23.334981, 24.510410, 24.642112, 24.651576, 26.792122, 28.504217, 29.766960, 36.663978, 76.791239], [22.649893, 23.050271, 26.462304, 27.848287, 30.112686, 32.051799, 32.132301, 32.318968, 32.860169, 72.235253]]
### 2
fourier: [[11.382586, 11.835927, 12.030963, 12.737691, 12.905480, 13.956041, 14.020517, 15.346202, 16.470092, 134.406244], [29.682497, 30.810765, 32.223242, 33.501025, 36.941697, 38.743158, 38.829451, 40.509000, 41.712479, 228.464847], [28.741927, 30.934694, 32.962414, 36.416589, 38.912616, 43.913337, 44.091520, 47.370805, 54.341801, 239.102477], [29.494426, 29.865728, 31.423879, 33.647897, 34.839121, 36.114337, 39.290492, 39.407481, 39.798814, 232.085111], [19.986452, 20.683841, 21.186091, 21.983817, 22.218919, 23.498647, 24.162235, 28.036705, 29.133865, 30.003860], [17.849171, 17.862205, 18.008550, 18.537579, 18.571261, 23.312745, 24.696988, 30.008494, 39.439439, 57.211469]]
### 4
fourier: [[67.200972, 77.575971, 79.598789, 80.515975, 89.116267, 89.851716, 94.460985, 99.515589, 106.317541, 613.037927], [16.623911, 18.130103, 19.516178, 19.905043, 20.581178, 21.450445, 23.695902, 25.379215, 27.747653, 112.621875], [19.756740, 22.039764, 23.128789, 23.896753, 26.000608, 26.991106, 28.465652, 31.240361, 35.324463, 40.543994], [12.082511, 12.402076, 13.453672, 13.855824, 14.235362, 15.294788, 17.263895, 17.682297, 20.998782, 108.507287], [12.717819, 12.737485, 12.940641, 12.974967, 14.187907, 16.170177, 16.760580, 19.077187, 22.171617, 35.744466], [16.906694, 18.528941, 18.859401, 20.257068, 22.984827, 24.649833, 25.061828, 26.771102, 28.371085, 33.123080]]
### 6
fourier: [[26.896695, 27.670785, 28.021359, 29.142350, 29.315240, 31.322231, 36.641360, 40.050882, 43.620154, 69.322435], [41.153452, 42.621988, 44.548787, 46.846180, 49.952897, 52.834326, 55.580870, 56.047077, 56.208912, 310.907032], [24.724467, 27.144756, 30.706666, 31.939659, 32.004061, 37.325065, 37.749000, 38.728435, 42.818320, 273.402541], [25.310515, 25.918225, 26.077495, 26.499796, 26.577346, 28.550561, 33.179279, 36.119751, 41.081635, 102.111816], [38.173986, 39.287831, 40.552551, 42.725144, 45.074421, 47.882513, 50.377277, 52.235677, 52.431830, 266.939328], [53.880669, 55.504304, 57.709201, 60.160208, 64.685613, 65.788941, 70.976733, 73.839148, 73.862545, 393.960053]]
### 8
fourier: [[72.954803, 78.436777, 80.854946, 83.194868, 97.186726, 97.366973, 97.455687, 125.306880, 125.955462, 356.149836]]
## 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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38.91261565507768, 43.913336915798276, 44.09151985273506, 47.37080466333353, 54.34180109478357, 239.1024767011404]}, "3": {"fourier": [29.494426410050803, 29.865727869993012, 31.423878560557306, 33.64789679473375, 34.83912064911993, 36.11433735352151, 39.290492094135544, 39.4074808776965, 39.798814016690095, 232.08511055633426]}, "4": {"fourier": [19.986451501881046, 20.68384129740154, 21.186090772263956, 21.983817092099745, 22.21891877468512, 23.498646864655495, 24.16223536406399, 28.036705162334965, 29.133865420293777, 30.003860105049853]}, "5": {"fourier": [17.84917052451693, 17.86220465282824, 18.008549783753153, 18.537579255721774, 18.571260886196143, 23.31274482730877, 24.696988431621836, 30.00849375452499, 39.43943926058313, 57.21146942675114]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [67.20097208659513, 77.57597081761222, 79.59878893821991, 80.51597461358911, 89.11626656973453, 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"model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.283754, 0.298274, 0.684458, -0.031508, -0.932269], [-0.731098, -0.371659, 0.197141, 0.179502, 0.47169], [0.278996, -0.027417, 0.941101, -0.142935, 0.121092], [-0.59524, -0.412141, 0.335296, 0.424738, 0.125761], [0.543115, -0.590065, -0.115354, -0.406625, 0.350757], [-0.25436, 0.220323, -0.355486, 0.336298, -0.590437]], "network.0.bias": [-0.35701, 0.036806, -0.07259, 0.081179, 0.226464, -0.137951], "network.2.weight": [[0.089973, 0.043335, 0.387913, 0.045577, -0.00129, 0.671157], [0.795778, 0.638508, 0.632795, 0.205558, -0.379348, -0.158975], [0.421939, 0.455078, 0.836933, 0.382488, 0.437273, -0.53413], [0.964984, 0.618879, 0.411558, 0.559112, -0.324983, -0.28972], [-0.881351, -0.367918, 0.681916, -0.495286, 0.172793, -0.313631], [-0.180476, 0.626034, -0.456254, 0.35694, -0.267903, -0.397692]], "network.2.bias": [0.389965, -0.067775, -0.078226, -0.025952, 0.380279, 0.083503], "network.4.weight": [[0.318012, 0.86971, 0.627761, 0.898225, -0.261857, 0.482998], [0.106712, 0.311385, -0.027855, 0.278454, -0.366348, 0.078254], [0.068791, -0.205017, 0.19297, -0.498391, 0.77934, 0.050949], [-0.34377, 0.234023, -0.269576, -0.185791, -0.245125, -0.405754], [0.641487, -0.119797, -0.137109, -0.211035, 0.4697, -0.330125], [0.400879, -0.22639, 0.414021, -0.62444, 0.434071, -0.049517]], "network.4.bias": [0.200345, -0.160304, 0.334424, 0.092591, 0.550281, -0.074835], "network.6.weight": [[0.00678, -0.210559, 0.949132, 0.003776, 0.496372, 0.718834], [0.627746, -0.304841, -0.278831, -0.39556, -0.033162, -0.3012], [-0.484563, 0.41503, -0.117373, -0.060286, -0.081324, 0.035824], [-0.027478, 0.035658, 0.918086, -0.265727, 0.527639, 0.671143], [0.475556, 0.076547, -0.03231, -0.132384, -0.407838, -0.122477], [0.530972, 0.763019, -0.401855, -0.532929, -0.316717, 0.304136]], "network.6.bias": [0.206657, -0.26066, -0.205671, 0.474335, -0.116265, -0.020333], "network.8.weight": [[0.827635, -0.521731, -0.041979, 0.516133, -0.438237, -0.51378]], "network.8.bias": [0.19532]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7064409554004669, "train_acc": 0.445, "val_loss": 0.6943281292915344, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6893959045410156, "train_acc": 0.535, "val_loss": 0.6809234619140625, "val_acc": 0.64}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6525899171829224, "train_acc": 0.665, "val_loss": 0.6273275017738342, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5381335318088531, "train_acc": 0.655, "val_loss": 0.49268877506256104, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4008469879627228, "train_acc": 0.725, "val_loss": 0.3700825572013855, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.262418232858181, "train_acc": 0.87, "val_loss": 0.19464634358882904, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.20946753025054932, "train_acc": 0.935, "val_loss": 0.11288642138242722, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.16937708109617233, "train_acc": 0.935, "val_loss": 0.059114374220371246, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.14641247689723969, "train_acc": 0.94, "val_loss": 0.10984048247337341, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.09753750637173653, "train_acc": 0.95, "val_loss": 0.2029361128807068, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.06559205427765846, "train_acc": 0.96, "val_loss": 0.16012002527713776, "val_acc": 0.98}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6943281292915344, "final_val_loss": 0.6273275017738342, "initial_val_acc": 0.44, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.49268877506256104, "final_val_loss": 0.16012002527713776, "initial_val_acc": 0.66, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 7}, "improvement": 0.31999999999999995, "first_improvement_epoch": 2}}
|
193
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.6, "improved_accuracy": 0.84, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4047, "learning_rate": 0.08880384957191806, "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: 5
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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[
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"network.2.weight": [
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## Activation Signature
### 0
fourier: [[27.004569, 29.526364, 32.179241, 34.683487, 37.775327, 37.968492, 42.511178, 51.335747, 53.920191, 332.710145], [29.120260, 30.245636, 32.689408, 33.060929, 33.220728, 33.524133, 33.812575, 39.625654, 40.201454, 208.653628], [39.845070, 41.795947, 43.600461, 44.590477, 48.217532, 50.250746, 56.268465, 62.347006, 67.523262, 195.352162], [43.033300, 47.389583, 51.629541, 57.613928, 60.348925, 70.429670, 73.595005, 77.822065, 82.384284, 232.584308], [24.799514, 28.964378, 29.885684, 29.928234, 32.605932, 33.014883, 35.302591, 35.917095, 43.890096, 213.358361], [35.366113, 35.478769, 37.314732, 40.364943, 43.346783, 43.569421, 45.260943, 52.876080, 55.101790, 123.463776], [22.925734, 23.745204, 25.098979, 25.420890, 26.363552, 27.095195, 29.241189, 34.513034, 35.401128, 239.894214]]
### 2
fourier: [[21.342085, 22.952621, 26.018005, 26.242187, 28.589735, 28.797302, 29.082378, 29.266710, 36.303558, 299.093712], [29.257786, 30.145602, 31.064879, 32.864958, 35.133149, 35.600427, 39.164467, 45.423463, 48.286820, 78.731441], [42.655290, 42.719946, 44.763331, 48.116720, 48.517367, 55.365468, 55.517127, 63.863937, 70.280994, 181.398069], [29.175731, 29.300200, 29.810081, 30.008728, 31.155177, 31.215224, 33.208157, 34.294317, 36.518035, 260.492826], [32.011820, 32.298351, 35.761804, 36.243072, 37.445579, 38.690535, 46.609988, 47.720190, 50.956971, 358.540623], [37.232752, 38.242955, 38.391406, 40.426484, 44.531188, 46.712522, 50.525883, 56.529193, 59.574139, 228.816973], [33.765704, 34.163651, 37.508037, 37.808211, 39.301181, 40.666300, 44.024359, 48.340908, 53.182280, 349.138951]]
### 4
fourier: [[1.537563, 1.574065, 1.623250, 1.748278, 1.768965, 1.891914, 1.940381, 2.010211, 2.027038, 26.970315], [16.432141, 16.709353, 17.811994, 18.001120, 18.326676, 19.450959, 24.279728, 25.662656, 26.991657, 65.497255], [5.917038, 6.046544, 6.163550, 6.456062, 6.520418, 6.572954, 6.847143, 8.435579, 8.755044, 10.983252], [6.031120, 6.048543, 6.457185, 6.470051, 6.522502, 6.622736, 7.420825, 8.218402, 9.566115, 10.363534], [7.003585, 7.529822, 7.538508, 7.561863, 8.123209, 9.765535, 11.252894, 11.714709, 13.695588, 14.456002], [21.099441, 23.058509, 24.263080, 26.900908, 27.496102, 31.442542, 31.802200, 34.547394, 36.717486, 65.933676], [3.276917, 3.361652, 3.934633, 4.028776, 4.140874, 4.430237, 4.727009, 5.429452, 6.298229, 15.391702]]
### 6
fourier: [[13.219248, 13.442426, 14.028484, 15.154531, 15.207255, 17.421156, 17.717279, 20.132036, 21.084814, 25.226304], [10.449350, 10.872864, 12.132147, 12.388034, 12.688308, 14.895762, 15.722106, 16.536669, 17.799770, 32.021147], [26.766830, 27.238590, 28.815865, 32.340248, 32.870722, 38.066514, 39.253727, 41.767408, 43.351776, 45.728790], [10.708349, 10.786241, 10.981479, 11.359172, 11.428503, 12.529586, 12.590648, 13.576437, 15.162173, 122.224833], [17.919006, 18.543443, 18.764939, 21.423410, 21.619995, 25.355201, 25.363904, 27.105944, 29.539509, 61.643117], [10.269139, 10.490321, 11.325120, 11.892758, 12.378407, 13.027663, 13.372976, 13.565546, 14.997260, 46.718624], [7.472410, 7.918619, 8.381543, 8.623119, 8.959524, 10.285875, 11.435919, 11.654504, 12.988011, 24.278932]]
### 8
fourier: [[9.058595, 9.929616, 10.942137, 12.196695, 12.296697, 12.514396, 12.689691, 12.719704, 12.962772, 27.516932], [12.106884, 12.723205, 14.764339, 15.573258, 15.753875, 16.247798, 16.574397, 16.749388, 17.818318, 25.749395], [7.831914, 8.238417, 8.281604, 8.339732, 8.567553, 9.558823, 10.617868, 11.281224, 11.317927, 13.803338], [4.002548, 4.265517, 4.539274, 4.772919, 5.201922, 5.491285, 5.689805, 5.808037, 6.140254, 39.632167], [9.553155, 9.925789, 10.070347, 10.158848, 10.812092, 11.876943, 12.828174, 12.937248, 14.298077, 112.944741], [6.463435, 6.480481, 7.490767, 7.524845, 8.675717, 9.022576, 9.582156, 10.462050, 12.179421, 85.232306], [4.109463, 4.292214, 4.688933, 4.724656, 4.758758, 4.879189, 5.087096, 5.778702, 5.949510, 18.768076]]
### 10
fourier: [[10.776954, 11.063456, 11.405518, 11.910360, 12.304404, 12.447814, 13.372085, 13.746727, 14.337213, 29.827070]]
## 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: 5
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: [[27.004569, 29.526364, 32.179241, 34.683487, 37.775327, 37.968492, 42.511178, 51.335747, 53.920191, 332.710145], [29.120260, 30.245636, 32.689408, 33.060929, 33.220728, 33.524133, 33.812575, 39.625654, 40.201454, 208.653628], [39.845070, 41.795947, 43.600461, 44.590477, 48.217532, 50.250746, 56.268465, 62.347006, 67.523262, 195.352162], [43.033300, 47.389583, 51.629541, 57.613928, 60.348925, 70.429670, 73.595005, 77.822065, 82.384284, 232.584308], [24.799514, 28.964378, 29.885684, 29.928234, 32.605932, 33.014883, 35.302591, 35.917095, 43.890096, 213.358361], [35.366113, 35.478769, 37.314732, 40.364943, 43.346783, 43.569421, 45.260943, 52.876080, 55.101790, 123.463776], [22.925734, 23.745204, 25.098979, 25.420890, 26.363552, 27.095195, 29.241189, 34.513034, 35.401128, 239.894214]]
### 2
fourier: [[21.342085, 22.952621, 26.018005, 26.242187, 28.589735, 28.797302, 29.082378, 29.266710, 36.303558, 299.093712], [29.257786, 30.145602, 31.064879, 32.864958, 35.133149, 35.600427, 39.164467, 45.423463, 48.286820, 78.731441], [42.655290, 42.719946, 44.763331, 48.116720, 48.517367, 55.365468, 55.517127, 63.863937, 70.280994, 181.398069], [29.175731, 29.300200, 29.810081, 30.008728, 31.155177, 31.215224, 33.208157, 34.294317, 36.518035, 260.492826], [32.011820, 32.298351, 35.761804, 36.243072, 37.445579, 38.690535, 46.609988, 47.720190, 50.956971, 358.540623], [37.232752, 38.242955, 38.391406, 40.426484, 44.531188, 46.712522, 50.525883, 56.529193, 59.574139, 228.816973], [33.765704, 34.163651, 37.508037, 37.808211, 39.301181, 40.666300, 44.024359, 48.340908, 53.182280, 349.138951]]
### 4
fourier: [[1.537563, 1.574065, 1.623250, 1.748278, 1.768965, 1.891914, 1.940381, 2.010211, 2.027038, 26.970315], [16.432141, 16.709353, 17.811994, 18.001120, 18.326676, 19.450959, 24.279728, 25.662656, 26.991657, 65.497255], [5.917038, 6.046544, 6.163550, 6.456062, 6.520418, 6.572954, 6.847143, 8.435579, 8.755044, 10.983252], [6.031120, 6.048543, 6.457185, 6.470051, 6.522502, 6.622736, 7.420825, 8.218402, 9.566115, 10.363534], [7.003585, 7.529822, 7.538508, 7.561863, 8.123209, 9.765535, 11.252894, 11.714709, 13.695588, 14.456002], [21.099441, 23.058509, 24.263080, 26.900908, 27.496102, 31.442542, 31.802200, 34.547394, 36.717486, 65.933676], [3.276917, 3.361652, 3.934633, 4.028776, 4.140874, 4.430237, 4.727009, 5.429452, 6.298229, 15.391702]]
### 6
fourier: [[13.219248, 13.442426, 14.028484, 15.154531, 15.207255, 17.421156, 17.717279, 20.132036, 21.084814, 25.226304], [10.449350, 10.872864, 12.132147, 12.388034, 12.688308, 14.895762, 15.722106, 16.536669, 17.799770, 32.021147], [26.766830, 27.238590, 28.815865, 32.340248, 32.870722, 38.066514, 39.253727, 41.767408, 43.351776, 45.728790], [10.708349, 10.786241, 10.981479, 11.359172, 11.428503, 12.529586, 12.590648, 13.576437, 15.162173, 122.224833], [17.919006, 18.543443, 18.764939, 21.423410, 21.619995, 25.355201, 25.363904, 27.105944, 29.539509, 61.643117], [10.269139, 10.490321, 11.325120, 11.892758, 12.378407, 13.027663, 13.372976, 13.565546, 14.997260, 46.718624], [7.472410, 7.918619, 8.381543, 8.623119, 8.959524, 10.285875, 11.435919, 11.654504, 12.988011, 24.278932]]
### 8
fourier: [[9.058595, 9.929616, 10.942137, 12.196695, 12.296697, 12.514396, 12.689691, 12.719704, 12.962772, 27.516932], [12.106884, 12.723205, 14.764339, 15.573258, 15.753875, 16.247798, 16.574397, 16.749388, 17.818318, 25.749395], [7.831914, 8.238417, 8.281604, 8.339732, 8.567553, 9.558823, 10.617868, 11.281224, 11.317927, 13.803338], [4.002548, 4.265517, 4.539274, 4.772919, 5.201922, 5.491285, 5.689805, 5.808037, 6.140254, 39.632167], [9.553155, 9.925789, 10.070347, 10.158848, 10.812092, 11.876943, 12.828174, 12.937248, 14.298077, 112.944741], [6.463435, 6.480481, 7.490767, 7.524845, 8.675717, 9.022576, 9.582156, 10.462050, 12.179421, 85.232306], [4.109463, 4.292214, 4.688933, 4.724656, 4.758758, 4.879189, 5.087096, 5.778702, 5.949510, 18.768076]]
### 10
fourier: [[10.776954, 11.063456, 11.405518, 11.910360, 12.304404, 12.447814, 13.372085, 13.746727, 14.337213, 29.827070]]
## 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": 0.7103208005428314, "train_acc": 0.45, "val_loss": 0.6861612200737, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6834374964237213, "train_acc": 0.55, "val_loss": 0.6471008062362671, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7165859043598175, "train_acc": 0.555, "val_loss": 0.6981313824653625, "val_acc": 0.4}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6748287677764893, "train_acc": 0.525, "val_loss": 0.6815286874771118, "val_acc": 0.4}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6197347939014435, "train_acc": 0.525, "val_loss": 0.5962529182434082, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5529296696186066, "train_acc": 0.655, "val_loss": 0.7525293231010437, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5745101869106293, "train_acc": 0.74, "val_loss": 0.5829862356185913, "val_acc": 0.72}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.638793408870697, "train_acc": 0.625, "val_loss": 0.6425941586494446, "val_acc": 0.66}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.6543368697166443, "train_acc": 0.565, "val_loss": 0.56614089012146, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.601228266954422, "train_acc": 0.66, "val_loss": 0.5730993747711182, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.5426070988178253, "train_acc": 0.745, "val_loss": 0.5375939011573792, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.5103392153978348, "train_acc": 0.765, "val_loss": 0.4574117958545685, "val_acc": 0.84}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.6861612200737, "final_val_loss": 0.6471008062362671, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.6981313824653625, "final_val_loss": 0.4574117958545685, "initial_val_acc": 0.4, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 11}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
194
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.98, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3765, "learning_rate": 0.027858767184860217, "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: 4
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: [[14.802896, 15.389031, 16.690058, 17.524886, 17.932445, 18.268110, 18.880013, 22.644530, 25.039078, 163.559504], [16.331270, 16.525013, 18.072839, 18.255107, 18.270055, 18.956387, 18.989487, 19.084722, 21.000452, 86.891919], [18.738074, 19.219749, 20.394314, 20.898148, 21.143085, 22.384746, 25.400957, 25.845872, 28.038477, 117.747352], [11.686795, 12.618913, 13.673902, 15.024151, 15.426360, 16.487767, 17.763847, 18.150715, 19.088849, 20.740404], [16.381857, 16.604614, 17.051466, 20.076472, 20.505183, 20.802553, 23.707680, 24.059645, 26.931178, 197.673184], [25.715643, 26.365659, 26.533043, 28.339178, 29.410669, 30.471744, 30.783766, 31.075526, 38.149599, 41.099568], [31.688376, 32.369844, 32.526056, 33.352235, 34.893251, 36.685004, 37.076655, 37.845385, 39.629406, 223.210955]]
### 2
fourier: [[16.210677, 16.673853, 17.053855, 17.688191, 17.852878, 19.434226, 19.779719, 19.839378, 21.014376, 125.940533], [1.959837, 1.959868, 1.981639, 1.987862, 2.070618, 2.073115, 2.301839, 2.790261, 3.293359, 37.850274], [17.902857, 20.881735, 21.866244, 23.043859, 23.947450, 24.190088, 24.225297, 25.677766, 27.448614, 115.564706], [23.796731, 23.900249, 24.438563, 26.762894, 27.729722, 28.318957, 29.281993, 29.894009, 32.733843, 122.215138], [28.435407, 30.075812, 30.848975, 31.479195, 32.944153, 34.038229, 35.655489, 36.380073, 39.244235, 162.899882], [23.404340, 23.977724, 24.438799, 24.646081, 25.138427, 25.475388, 27.489444, 27.910364, 30.635719, 96.107126], [16.156285, 16.632445, 16.932476, 17.140692, 18.389593, 18.497036, 18.694520, 18.846623, 19.387828, 61.699318]]
### 4
fourier: [[1.863785, 1.906652, 1.915791, 1.981056, 1.986110, 2.082358, 2.255849, 2.451563, 3.047981, 4.278942], [44.594729, 46.315464, 48.241452, 52.211906, 52.430173, 53.870770, 54.834415, 58.227290, 58.736725, 238.791536], [49.592721, 50.847656, 53.687256, 55.659835, 57.232702, 59.554557, 60.519150, 63.290396, 65.841378, 287.621034], [0.949591, 1.062559, 1.125094, 1.142367, 1.185315, 1.233384, 1.252461, 1.278101, 1.338881, 29.661468], [7.917937, 8.163902, 8.230211, 8.352140, 9.310737, 9.380282, 9.460462, 9.954028, 10.383613, 10.754851], [10.920522, 11.809226, 11.901137, 11.956352, 11.983751, 13.087730, 13.967688, 14.355349, 14.374852, 15.793676], [7.314526, 7.818755, 7.996329, 8.907411, 9.363364, 9.679963, 9.712355, 9.792012, 11.032161, 79.405762]]
### 6
fourier: [[31.907544, 33.539822, 35.536418, 37.250262, 38.298897, 39.355114, 39.831210, 41.436935, 44.195011, 153.273282], [8.997314, 9.076612, 9.490230, 9.958816, 10.869273, 11.043537, 11.193060, 11.194774, 11.657426, 12.628611], [15.318444, 15.941288, 16.660081, 17.413244, 18.162591, 18.824463, 18.987054, 19.636417, 21.182766, 50.168454], [25.041841, 26.533310, 28.409703, 29.089961, 30.075857, 30.827229, 31.988136, 33.034522, 35.146219, 129.426029], [43.307443, 44.759702, 47.298429, 49.855908, 50.839551, 52.389769, 53.151858, 55.551212, 58.226045, 212.891817], [43.405312, 45.172422, 47.792171, 50.506073, 51.509816, 53.184410, 53.420251, 56.043213, 59.195728, 214.342516], [3.063470, 3.069092, 3.103613, 3.168893, 3.528275, 3.576479, 3.791776, 3.965566, 4.110758, 68.810828]]
### 8
fourier: [[67.532058, 67.892365, 69.692133, 73.527793, 79.048633, 79.416093, 82.859973, 83.567606, 91.101973, 303.994707]]
## 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: 4
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: [[14.802896, 15.389031, 16.690058, 17.524886, 17.932445, 18.268110, 18.880013, 22.644530, 25.039078, 163.559504], [16.331270, 16.525013, 18.072839, 18.255107, 18.270055, 18.956387, 18.989487, 19.084722, 21.000452, 86.891919], [18.738074, 19.219749, 20.394314, 20.898148, 21.143085, 22.384746, 25.400957, 25.845872, 28.038477, 117.747352], [11.686795, 12.618913, 13.673902, 15.024151, 15.426360, 16.487767, 17.763847, 18.150715, 19.088849, 20.740404], [16.381857, 16.604614, 17.051466, 20.076472, 20.505183, 20.802553, 23.707680, 24.059645, 26.931178, 197.673184], [25.715643, 26.365659, 26.533043, 28.339178, 29.410669, 30.471744, 30.783766, 31.075526, 38.149599, 41.099568], [31.688376, 32.369844, 32.526056, 33.352235, 34.893251, 36.685004, 37.076655, 37.845385, 39.629406, 223.210955]]
### 2
fourier: [[16.210677, 16.673853, 17.053855, 17.688191, 17.852878, 19.434226, 19.779719, 19.839378, 21.014376, 125.940533], [1.959837, 1.959868, 1.981639, 1.987862, 2.070618, 2.073115, 2.301839, 2.790261, 3.293359, 37.850274], [17.902857, 20.881735, 21.866244, 23.043859, 23.947450, 24.190088, 24.225297, 25.677766, 27.448614, 115.564706], [23.796731, 23.900249, 24.438563, 26.762894, 27.729722, 28.318957, 29.281993, 29.894009, 32.733843, 122.215138], [28.435407, 30.075812, 30.848975, 31.479195, 32.944153, 34.038229, 35.655489, 36.380073, 39.244235, 162.899882], [23.404340, 23.977724, 24.438799, 24.646081, 25.138427, 25.475388, 27.489444, 27.910364, 30.635719, 96.107126], [16.156285, 16.632445, 16.932476, 17.140692, 18.389593, 18.497036, 18.694520, 18.846623, 19.387828, 61.699318]]
### 4
fourier: [[1.863785, 1.906652, 1.915791, 1.981056, 1.986110, 2.082358, 2.255849, 2.451563, 3.047981, 4.278942], [44.594729, 46.315464, 48.241452, 52.211906, 52.430173, 53.870770, 54.834415, 58.227290, 58.736725, 238.791536], [49.592721, 50.847656, 53.687256, 55.659835, 57.232702, 59.554557, 60.519150, 63.290396, 65.841378, 287.621034], [0.949591, 1.062559, 1.125094, 1.142367, 1.185315, 1.233384, 1.252461, 1.278101, 1.338881, 29.661468], [7.917937, 8.163902, 8.230211, 8.352140, 9.310737, 9.380282, 9.460462, 9.954028, 10.383613, 10.754851], [10.920522, 11.809226, 11.901137, 11.956352, 11.983751, 13.087730, 13.967688, 14.355349, 14.374852, 15.793676], [7.314526, 7.818755, 7.996329, 8.907411, 9.363364, 9.679963, 9.712355, 9.792012, 11.032161, 79.405762]]
### 6
fourier: [[31.907544, 33.539822, 35.536418, 37.250262, 38.298897, 39.355114, 39.831210, 41.436935, 44.195011, 153.273282], [8.997314, 9.076612, 9.490230, 9.958816, 10.869273, 11.043537, 11.193060, 11.194774, 11.657426, 12.628611], [15.318444, 15.941288, 16.660081, 17.413244, 18.162591, 18.824463, 18.987054, 19.636417, 21.182766, 50.168454], [25.041841, 26.533310, 28.409703, 29.089961, 30.075857, 30.827229, 31.988136, 33.034522, 35.146219, 129.426029], [43.307443, 44.759702, 47.298429, 49.855908, 50.839551, 52.389769, 53.151858, 55.551212, 58.226045, 212.891817], [43.405312, 45.172422, 47.792171, 50.506073, 51.509816, 53.184410, 53.420251, 56.043213, 59.195728, 214.342516], [3.063470, 3.069092, 3.103613, 3.168893, 3.528275, 3.576479, 3.791776, 3.965566, 4.110758, 68.810828]]
### 8
fourier: [[67.532058, 67.892365, 69.692133, 73.527793, 79.048633, 79.416093, 82.859973, 83.567606, 91.101973, 303.994707]]
## 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": 0.6794777512550354, "train_acc": 0.565, "val_loss": 0.6457638740539551, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.624000608921051, "train_acc": 0.565, "val_loss": 0.5898728370666504, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6173922717571259, "train_acc": 0.49, "val_loss": 0.5547277331352234, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.567404717206955, "train_acc": 0.79, "val_loss": 0.462666779756546, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4903855323791504, "train_acc": 0.77, "val_loss": 0.4022904336452484, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.43347693979740143, "train_acc": 0.815, "val_loss": 0.3499833047389984, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3851166367530823, "train_acc": 0.915, "val_loss": 0.2986828088760376, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3474764823913574, "train_acc": 0.935, "val_loss": 0.27384862303733826, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.30983206629753113, "train_acc": 0.925, "val_loss": 0.24658016860485077, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2918124794960022, "train_acc": 0.91, "val_loss": 0.20070938766002655, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.25463829189538956, "train_acc": 0.93, "val_loss": 0.19061267375946045, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.24367466568946838, "train_acc": 0.91, "val_loss": 0.13286305963993073, "val_acc": 0.98}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6457638740539551, "final_val_loss": 0.5898728370666504, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5547277331352234, "final_val_loss": 0.13286305963993073, "initial_val_acc": 0.78, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 6}, "improvement": 0.43999999999999995, "first_improvement_epoch": 1}}
|
195
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.74, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2156, "learning_rate": 0.06760117318096003, "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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[21.727880, 22.528425, 22.546655, 22.791551, 27.001045, 28.881637, 30.469235, 31.664086, 32.743398, 131.766770], [34.662628, 35.614145, 38.302106, 41.111540, 43.467422, 44.961500, 46.520111, 47.644284, 50.709615, 152.695032], [29.680481, 29.802460, 30.046412, 30.140541, 33.904864, 34.225482, 36.669757, 41.923138, 44.039245, 109.810923], [32.727962, 33.090159, 35.245842, 36.847757, 37.757005, 38.137340, 42.902708, 44.434238, 47.625705, 163.579216], [29.163587, 29.842513, 31.365130, 31.843511, 32.238392, 33.933380, 33.999601, 34.322029, 37.274226, 85.209057], [36.435918, 36.598059, 37.592912, 37.688673, 37.984970, 41.645911, 43.993480, 47.170871, 47.220109, 208.334869]]
### 2
fourier: [[24.653271, 25.041182, 27.474911, 27.486864, 27.583514, 27.752742, 29.017874, 29.511468, 37.924480, 48.859380], [27.204634, 28.554565, 29.600304, 29.971180, 30.056130, 37.373412, 38.963340, 39.052104, 39.945058, 241.534338], [87.375605, 90.041222, 91.731921, 93.652461, 94.941292, 97.156707, 107.431165, 116.953474, 122.474274, 323.411936], [20.106029, 21.038635, 21.280100, 21.639866, 27.301008, 27.493055, 27.503876, 28.758848, 29.368467, 36.384103], [50.926220, 51.794843, 54.118043, 55.261500, 57.921871, 58.071457, 64.347435, 69.456538, 74.882254, 167.302070], [71.706835, 73.136526, 74.826836, 77.060133, 77.668953, 78.915836, 80.517965, 83.274168, 92.807655, 428.886083]]
### 4
fourier: [[21.904827, 23.261432, 24.108962, 24.724647, 24.820538, 26.885685, 27.190099, 27.419613, 29.443607, 39.759812], [11.389445, 11.922515, 12.201222, 12.321315, 12.834892, 15.765070, 17.478049, 17.777642, 25.039633, 47.905129], [52.897719, 54.649275, 56.840242, 61.733980, 62.328096, 62.925923, 65.338352, 66.983114, 71.265526, 231.009356], [65.153411, 69.923573, 70.176859, 72.455209, 73.306198, 75.442506, 84.143008, 85.978987, 87.588109, 283.824353], [52.690691, 54.928243, 58.475795, 59.790091, 62.210474, 63.508710, 64.406666, 67.736375, 71.519451, 263.262521], [44.242644, 44.512784, 48.864636, 50.296819, 51.375283, 52.904882, 53.299299, 54.705258, 59.621205, 205.028830]]
### 6
fourier: [[19.708243, 19.954729, 21.718237, 22.901183, 23.774148, 24.316760, 25.206022, 26.510143, 26.525356, 168.774506], [78.614608, 80.489599, 87.477915, 91.399376, 92.043735, 94.261372, 95.539732, 100.257998, 104.959949, 340.128456], [76.693270, 77.330155, 85.671176, 87.996296, 89.946683, 91.045344, 95.791413, 96.480868, 101.893808, 318.366165], [45.065602, 47.081322, 48.812857, 52.755275, 54.363257, 55.478095, 55.484003, 58.719093, 60.851294, 297.934874], [37.171368, 39.151947, 39.637039, 42.193160, 43.736094, 44.012631, 47.390855, 48.033408, 50.286439, 236.181019], [25.103177, 26.445040, 27.425260, 29.356310, 30.229348, 30.757805, 31.135246, 32.983454, 33.801653, 185.415057]]
### 8
fourier: [[21.326184, 22.175603, 23.905641, 24.769102, 25.398370, 25.464822, 26.536300, 27.604290, 28.879678, 55.775702], [37.380832, 39.103187, 41.982443, 43.019653, 44.517625, 45.162878, 46.173564, 48.575611, 50.675240, 118.577195], [89.988552, 90.493453, 99.469349, 103.663029, 104.402264, 107.243699, 111.198148, 113.689941, 118.476180, 368.853321], [69.158154, 70.631817, 77.071887, 81.080613, 81.110137, 82.148818, 85.808125, 88.421372, 92.154110, 271.833580], [45.981034, 47.528591, 51.666493, 54.494166, 54.541552, 54.558629, 57.480130, 59.387019, 61.980946, 116.081798], [25.552776, 26.395306, 28.660806, 30.058036, 30.249257, 30.399919, 31.975379, 32.990509, 34.531925, 63.817261]]
### 10
fourier: [[46.480233, 48.728149, 51.564778, 52.834133, 55.221553, 56.333698, 57.016444, 60.484140, 62.863034, 120.460051], [26.327821, 26.348908, 28.861165, 30.093966, 30.497286, 31.505371, 32.611651, 33.321478, 34.441599, 110.795257], [64.285036, 66.514556, 71.509567, 75.295241, 76.138140, 76.682707, 79.745603, 83.477215, 86.444973, 215.039571], [7.839710, 8.156177, 8.315010, 8.441956, 8.715623, 8.729368, 10.598117, 11.356592, 14.841890, 94.046139], [11.195116, 11.304274, 11.754863, 11.863142, 12.482133, 13.350725, 14.547792, 14.998449, 15.462810, 22.430591], [101.987051, 105.805521, 113.594808, 120.493950, 121.058544, 121.591324, 127.355192, 132.212312, 136.866802, 360.566573]]
### 12
fourier: [[79.725268, 80.142579, 85.406366, 90.185446, 90.852548, 96.806456, 98.289810, 99.886249, 102.463757, 256.940090]]
## 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: 6
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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## Activation Signature
### 0
fourier: [[21.727880, 22.528425, 22.546655, 22.791551, 27.001045, 28.881637, 30.469235, 31.664086, 32.743398, 131.766770], [34.662628, 35.614145, 38.302106, 41.111540, 43.467422, 44.961500, 46.520111, 47.644284, 50.709615, 152.695032], [29.680481, 29.802460, 30.046412, 30.140541, 33.904864, 34.225482, 36.669757, 41.923138, 44.039245, 109.810923], [32.727962, 33.090159, 35.245842, 36.847757, 37.757005, 38.137340, 42.902708, 44.434238, 47.625705, 163.579216], [29.163587, 29.842513, 31.365130, 31.843511, 32.238392, 33.933380, 33.999601, 34.322029, 37.274226, 85.209057], [36.435918, 36.598059, 37.592912, 37.688673, 37.984970, 41.645911, 43.993480, 47.170871, 47.220109, 208.334869]]
### 2
fourier: [[24.653271, 25.041182, 27.474911, 27.486864, 27.583514, 27.752742, 29.017874, 29.511468, 37.924480, 48.859380], [27.204634, 28.554565, 29.600304, 29.971180, 30.056130, 37.373412, 38.963340, 39.052104, 39.945058, 241.534338], [87.375605, 90.041222, 91.731921, 93.652461, 94.941292, 97.156707, 107.431165, 116.953474, 122.474274, 323.411936], [20.106029, 21.038635, 21.280100, 21.639866, 27.301008, 27.493055, 27.503876, 28.758848, 29.368467, 36.384103], [50.926220, 51.794843, 54.118043, 55.261500, 57.921871, 58.071457, 64.347435, 69.456538, 74.882254, 167.302070], [71.706835, 73.136526, 74.826836, 77.060133, 77.668953, 78.915836, 80.517965, 83.274168, 92.807655, 428.886083]]
### 4
fourier: [[21.904827, 23.261432, 24.108962, 24.724647, 24.820538, 26.885685, 27.190099, 27.419613, 29.443607, 39.759812], [11.389445, 11.922515, 12.201222, 12.321315, 12.834892, 15.765070, 17.478049, 17.777642, 25.039633, 47.905129], [52.897719, 54.649275, 56.840242, 61.733980, 62.328096, 62.925923, 65.338352, 66.983114, 71.265526, 231.009356], [65.153411, 69.923573, 70.176859, 72.455209, 73.306198, 75.442506, 84.143008, 85.978987, 87.588109, 283.824353], [52.690691, 54.928243, 58.475795, 59.790091, 62.210474, 63.508710, 64.406666, 67.736375, 71.519451, 263.262521], [44.242644, 44.512784, 48.864636, 50.296819, 51.375283, 52.904882, 53.299299, 54.705258, 59.621205, 205.028830]]
### 6
fourier: [[19.708243, 19.954729, 21.718237, 22.901183, 23.774148, 24.316760, 25.206022, 26.510143, 26.525356, 168.774506], [78.614608, 80.489599, 87.477915, 91.399376, 92.043735, 94.261372, 95.539732, 100.257998, 104.959949, 340.128456], [76.693270, 77.330155, 85.671176, 87.996296, 89.946683, 91.045344, 95.791413, 96.480868, 101.893808, 318.366165], [45.065602, 47.081322, 48.812857, 52.755275, 54.363257, 55.478095, 55.484003, 58.719093, 60.851294, 297.934874], [37.171368, 39.151947, 39.637039, 42.193160, 43.736094, 44.012631, 47.390855, 48.033408, 50.286439, 236.181019], [25.103177, 26.445040, 27.425260, 29.356310, 30.229348, 30.757805, 31.135246, 32.983454, 33.801653, 185.415057]]
### 8
fourier: [[21.326184, 22.175603, 23.905641, 24.769102, 25.398370, 25.464822, 26.536300, 27.604290, 28.879678, 55.775702], [37.380832, 39.103187, 41.982443, 43.019653, 44.517625, 45.162878, 46.173564, 48.575611, 50.675240, 118.577195], [89.988552, 90.493453, 99.469349, 103.663029, 104.402264, 107.243699, 111.198148, 113.689941, 118.476180, 368.853321], [69.158154, 70.631817, 77.071887, 81.080613, 81.110137, 82.148818, 85.808125, 88.421372, 92.154110, 271.833580], [45.981034, 47.528591, 51.666493, 54.494166, 54.541552, 54.558629, 57.480130, 59.387019, 61.980946, 116.081798], [25.552776, 26.395306, 28.660806, 30.058036, 30.249257, 30.399919, 31.975379, 32.990509, 34.531925, 63.817261]]
### 10
fourier: [[46.480233, 48.728149, 51.564778, 52.834133, 55.221553, 56.333698, 57.016444, 60.484140, 62.863034, 120.460051], [26.327821, 26.348908, 28.861165, 30.093966, 30.497286, 31.505371, 32.611651, 33.321478, 34.441599, 110.795257], [64.285036, 66.514556, 71.509567, 75.295241, 76.138140, 76.682707, 79.745603, 83.477215, 86.444973, 215.039571], [7.839710, 8.156177, 8.315010, 8.441956, 8.715623, 8.729368, 10.598117, 11.356592, 14.841890, 94.046139], [11.195116, 11.304274, 11.754863, 11.863142, 12.482133, 13.350725, 14.547792, 14.998449, 15.462810, 22.430591], [101.987051, 105.805521, 113.594808, 120.493950, 121.058544, 121.591324, 127.355192, 132.212312, 136.866802, 360.566573]]
### 12
fourier: [[79.725268, 80.142579, 85.406366, 90.185446, 90.852548, 96.806456, 98.289810, 99.886249, 102.463757, 256.940090]]
## 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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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.550472, 0.378474, 0.08038, 0.09125, -0.632812], [1.251088, 0.242077, -0.032346, -0.004351, -0.361287], [0.857151, 0.338354, 0.256451, -0.004408, -0.505325], [0.977677, 0.109959, 0.397606, -0.010308, -0.217587], [-0.79915, -0.153753, 0.145874, 0.227726, 0.857978], [1.071926, 0.423538, 0.009362, 0.341178, -0.279917]], "network.0.bias": [0.506262, 0.221069, -0.366123, -0.139579, 0.370203, -0.196863], "network.2.weight": [[0.261678, 0.375828, 0.14867, -0.196655, -0.833363, -0.13191], [-0.154912, -0.204614, -0.035119, -0.598988, -0.368655, -0.00255], [0.523215, 0.688749, 0.515514, 0.428598, -0.844667, 0.524075], [0.164088, -0.509526, -0.166825, 0.149275, 0.489314, -0.080351], [0.072811, 0.338812, 0.629532, 0.348442, -0.549037, 0.154028], [-0.41189, -0.303316, -0.647756, -0.31087, 0.090774, -0.626265]], "network.2.bias": [-0.056475, -0.443953, -0.041389, -0.077214, -0.015362, -0.776507], "network.4.weight": [[0.360236, 0.168689, 0.162133, -0.350462, 0.073951, -0.027404], [0.686322, 0.00981, -0.113433, 0.588696, -0.135004, -0.243654], [0.016179, -0.294761, 0.361436, -0.312079, 0.487325, -0.269589], [-0.486221, -0.041316, 0.595077, -0.545891, 0.436009, -0.118685], [-0.249377, 0.110417, -0.505101, -0.070915, -0.216115, 0.210485], [-0.114619, 0.452103, 0.31484, -0.152696, 0.39645, 0.602479]], "network.4.bias": [-0.371622, -0.276106, 0.059857, 0.099895, -0.19315, 0.240803], "network.6.weight": [[0.219308, -0.407721, -0.346016, -0.009785, 0.003329, -0.132795], [0.158782, -0.107226, 0.349084, 0.616488, 0.202063, 0.396895], [0.347649, 0.187536, 0.62479, 0.30163, -0.019024, 0.405923], [0.829031, -0.413531, -0.313971, -0.350348, -0.340902, -0.513702], [0.726727, -0.056644, -0.18246, -0.215897, -0.010379, -0.62991], [0.338587, -0.148503, -0.200337, -0.37074, 0.037435, 0.05052]], "network.6.bias": [-0.774251, -0.132324, -0.244794, -0.768636, -0.525652, -0.66436], "network.8.weight": [[0.523604, 0.133151, 0.127746, 0.587808, 0.252259, 0.302043], [0.889029, 0.435156, 0.018211, 0.68681, 0.695692, 0.466698], [-0.10232, 0.490632, 0.665438, 0.390539, 0.198445, 0.006681], [0.148548, 0.493918, 0.386276, 0.382716, 0.390743, 0.597993], [-0.672669, -0.319049, -0.26111, -0.649112, -0.349932, -0.296677], [-0.46382, -0.091729, -0.227169, -0.737001, -0.279242, -0.157548]], "network.8.bias": [-0.185132, -0.141154, -0.123186, -0.105287, 0.674469, 0.300217], "network.10.weight": [[-0.038814, -0.670915, 0.045386, -0.334476, 0.75864, 0.031257], [-0.575686, 0.531119, -0.127134, -0.321732, -0.127236, 0.434423], [0.072535, -0.101852, 0.434484, 0.379625, -0.53359, -0.144984], [-0.163096, -0.048829, -0.014327, -0.068723, -0.728696, -0.133001], [-0.043535, -0.178221, 0.12389, -0.154926, 0.817316, 0.112111], [-0.164408, 0.634916, 0.67166, 0.309092, -0.612738, -0.180599]], "network.10.bias": [0.226968, -0.094352, -0.239828, -0.206161, 0.126649, -0.295561], "network.12.weight": [[0.01053, 0.263736, -0.342887, 0.034588, 0.013087, -0.580522]], "network.12.bias": [0.699253]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6969727575778961, "train_acc": 0.455, "val_loss": 0.6813894510269165, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6674850881099701, "train_acc": 0.565, "val_loss": 0.6420785784721375, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6388407945632935, "train_acc": 0.545, "val_loss": 0.5578435659408569, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5526637732982635, "train_acc": 0.71, "val_loss": 0.5662094354629517, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5242360830307007, "train_acc": 0.725, "val_loss": 0.5547766089439392, "val_acc": 0.68}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5008792281150818, "train_acc": 0.735, "val_loss": 0.5345475673675537, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5032503604888916, "train_acc": 0.735, "val_loss": 0.5188149213790894, "val_acc": 0.72}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.49813228845596313, "train_acc": 0.75, "val_loss": 0.49861693382263184, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5049793422222137, "train_acc": 0.735, "val_loss": 0.4865169823169708, "val_acc": 0.74}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.45922207832336426, "train_acc": 0.77, "val_loss": 0.5813516974449158, "val_acc": 0.72}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.48836682736873627, "train_acc": 0.76, "val_loss": 0.534142017364502, "val_acc": 0.74}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.4813244938850403, "train_acc": 0.77, "val_loss": 0.4999442994594574, "val_acc": 0.74}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6813894510269165, "final_val_loss": 0.6420785784721375, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5578435659408569, "final_val_loss": 0.4999442994594574, "initial_val_acc": 0.66, "final_val_acc": 0.74, "best_val_acc": 0.74, "best_epoch": 7}, "improvement": 0.21999999999999997, "first_improvement_epoch": 1}}
|
196
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.58, "improved_accuracy": 0.82, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1568, "learning_rate": 0.022102945242305886, "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: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.278443
]
}
## Activation Signature
### 0
fourier: [[10.934820, 10.974078, 12.055505, 12.288664, 12.750785, 12.805064, 12.835043, 14.444504, 20.026241, 94.265075], [25.315597, 27.104851, 28.814421, 30.066398, 30.624106, 31.454294, 31.747057, 32.473060, 39.393390, 192.286804], [14.119468, 14.845152, 16.068932, 16.492509, 17.309428, 17.433154, 18.810283, 19.599706, 19.647600, 20.340662], [11.690643, 12.363139, 12.616239, 13.359683, 14.025624, 14.481752, 14.608647, 15.069017, 16.881170, 18.460361], [11.333554, 11.392424, 11.937602, 13.529786, 14.058177, 18.814051, 19.346401, 20.226483, 20.912936, 33.630906], [18.586112, 20.188130, 20.602917, 21.105584, 24.448414, 25.195965, 26.326493, 29.812966, 32.545792, 202.304064], [20.609467, 21.097275, 21.700936, 21.983819, 22.721683, 23.112375, 24.408430, 25.476567, 25.891464, 29.246754], [16.239964, 16.807424, 16.931375, 17.141167, 17.239866, 17.853059, 19.718447, 19.926385, 22.245443, 121.381106]]
### 2
fourier: [[18.248544, 18.747518, 18.992073, 20.214350, 20.219807, 20.491213, 21.182516, 21.667034, 23.771599, 199.127533], [12.548272, 13.076080, 13.197757, 13.417276, 14.260340, 14.477218, 15.050662, 15.546744, 17.372304, 125.061662], [16.946677, 18.416116, 18.542203, 19.486098, 20.794993, 21.664112, 23.017853, 24.067327, 24.204355, 196.623920], [6.954286, 7.080605, 7.135178, 7.190357, 7.341611, 7.929743, 8.356994, 8.581304, 10.120102, 11.263843], [9.593012, 10.794318, 11.046096, 11.080067, 11.407120, 12.122070, 12.901011, 14.809106, 16.425598, 32.454831], [12.658828, 13.021284, 14.083453, 14.396556, 15.083843, 15.316021, 17.376116, 19.509448, 20.483995, 81.828720], [8.819749, 9.079102, 9.475913, 9.550498, 10.364426, 10.494711, 11.032346, 11.497345, 13.508307, 21.979563], [9.295778, 9.595348, 9.728853, 10.415494, 10.463743, 11.754437, 12.032292, 13.230203, 13.386516, 41.795931]]
### 4
fourier: [[11.086668, 11.386066, 11.515206, 11.992864, 12.359748, 12.672253, 12.903295, 13.707458, 15.507015, 112.568258], [22.529907, 22.897607, 23.121281, 26.099661, 26.267460, 27.667618, 27.886332, 29.835608, 31.092526, 198.737542], [18.653243, 20.017154, 20.345027, 20.819287, 21.313440, 21.649332, 23.145427, 23.158904, 24.677492, 197.656321], [4.601088, 4.652625, 5.375281, 5.458428, 6.112772, 6.530642, 6.762821, 6.822464, 7.296143, 59.597587], [7.970249, 8.470909, 8.520214, 8.594792, 8.725255, 9.114851, 9.209609, 9.794627, 10.730908, 123.684418], [12.116148, 12.189127, 12.907125, 13.344516, 13.530303, 14.721432, 14.844221, 15.119278, 16.990048, 109.171355], [5.676833, 5.784763, 5.950930, 6.973104, 7.040325, 7.326863, 7.463073, 7.890076, 10.558902, 16.182053], [9.247887, 9.367383, 9.424178, 9.859288, 10.324543, 10.773850, 11.404868, 11.523510, 12.313579, 95.696520]]
### 6
fourier: [[19.719100, 19.916566, 20.468890, 21.685000, 22.549742, 23.869473, 24.749987, 25.168079, 26.906236, 176.957523], [7.730375, 8.521370, 8.811074, 9.026870, 9.203098, 9.223775, 9.279211, 9.628600, 10.445241, 91.994978], [7.147853, 8.219228, 8.228078, 8.265964, 8.297381, 8.491452, 8.528034, 8.946711, 9.910108, 77.986660], [4.551793, 4.663722, 5.093401, 5.117780, 5.311676, 5.393270, 5.563661, 6.147361, 6.208826, 8.880588], [5.592872, 5.594214, 5.627014, 6.250581, 6.976256, 7.032004, 7.267557, 7.430371, 7.743115, 31.065636], [12.604407, 13.358416, 13.364183, 13.744553, 13.918821, 14.393478, 14.863025, 15.027893, 16.525340, 139.935634], [10.938130, 12.383193, 12.659644, 12.904431, 12.973114, 13.107807, 13.622831, 13.949193, 14.757611, 117.548207], [8.908293, 9.911417, 10.017977, 10.364830, 10.434433, 10.626048, 10.650672, 11.205694, 11.897368, 100.709890]]
### 8
fourier: [[0.610234, 0.639596, 0.657583, 0.671320, 0.731621, 0.765205, 0.781967, 0.843741, 0.901518, 19.274858], [1.157485, 1.167266, 1.209212, 1.413161, 1.584405, 1.588962, 1.617820, 1.730944, 1.913083, 19.290409], [3.290458, 3.704671, 3.744319, 3.800168, 3.843552, 3.944653, 4.267016, 4.377689, 4.430274, 23.672842], [7.538285, 7.635918, 7.709514, 7.921148, 8.880022, 9.269363, 9.325094, 9.443813, 10.220781, 58.336827], [3.328237, 3.412220, 3.732340, 3.776710, 3.993447, 4.040149, 4.087540, 4.358446, 4.554078, 44.568281], [1.608187, 1.651399, 1.708878, 1.766759, 1.831273, 1.945824, 1.989091, 2.053154, 2.191801, 49.453620], [4.263444, 4.303331, 4.322952, 4.451894, 4.949786, 5.353177, 5.409538, 5.508577, 5.750872, 38.859924], [1.435855, 1.483637, 1.602305, 1.651531, 1.706535, 1.732843, 1.764127, 1.879476, 1.993063, 22.198956]]
### 10
fourier: [[0.882141, 0.892872, 0.915708, 0.915999, 1.069061, 1.111680, 1.116535, 1.126474, 1.291861, 41.025763], [1.802247, 1.923102, 2.024841, 2.026685, 2.034905, 2.153980, 2.392662, 2.407981, 2.413533, 25.890753], [4.481070, 4.896736, 4.917070, 4.941250, 5.057337, 5.436840, 5.789653, 5.861420, 5.883451, 37.264397], [1.152778, 1.177562, 1.266774, 1.314974, 1.367603, 1.378208, 1.398707, 1.501572, 1.565181, 21.293141], [0.924703, 1.019805, 1.036688, 1.045629, 1.053716, 1.137971, 1.200540, 1.238154, 1.241976, 7.677629], [2.646234, 2.711045, 2.720099, 2.768593, 3.140280, 3.281656, 3.286144, 3.363672, 3.606617, 16.088698], [0.475184, 0.489555, 0.510327, 0.543610, 0.603719, 0.625217, 0.640876, 0.728413, 0.729504, 14.615108], [1.545082, 1.557140, 1.602114, 1.610731, 1.821359, 1.933036, 1.946257, 1.955163, 2.130949, 34.853694]]
### 12
fourier: [[2.425429, 2.663358, 2.687582, 2.709455, 2.729296, 3.039853, 3.168849, 3.244272, 3.269960, 11.387675]]
## 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: 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: [[10.934820, 10.974078, 12.055505, 12.288664, 12.750785, 12.805064, 12.835043, 14.444504, 20.026241, 94.265075], [25.315597, 27.104851, 28.814421, 30.066398, 30.624106, 31.454294, 31.747057, 32.473060, 39.393390, 192.286804], [14.119468, 14.845152, 16.068932, 16.492509, 17.309428, 17.433154, 18.810283, 19.599706, 19.647600, 20.340662], [11.690643, 12.363139, 12.616239, 13.359683, 14.025624, 14.481752, 14.608647, 15.069017, 16.881170, 18.460361], [11.333554, 11.392424, 11.937602, 13.529786, 14.058177, 18.814051, 19.346401, 20.226483, 20.912936, 33.630906], [18.586112, 20.188130, 20.602917, 21.105584, 24.448414, 25.195965, 26.326493, 29.812966, 32.545792, 202.304064], [20.609467, 21.097275, 21.700936, 21.983819, 22.721683, 23.112375, 24.408430, 25.476567, 25.891464, 29.246754], [16.239964, 16.807424, 16.931375, 17.141167, 17.239866, 17.853059, 19.718447, 19.926385, 22.245443, 121.381106]]
### 2
fourier: [[18.248544, 18.747518, 18.992073, 20.214350, 20.219807, 20.491213, 21.182516, 21.667034, 23.771599, 199.127533], [12.548272, 13.076080, 13.197757, 13.417276, 14.260340, 14.477218, 15.050662, 15.546744, 17.372304, 125.061662], [16.946677, 18.416116, 18.542203, 19.486098, 20.794993, 21.664112, 23.017853, 24.067327, 24.204355, 196.623920], [6.954286, 7.080605, 7.135178, 7.190357, 7.341611, 7.929743, 8.356994, 8.581304, 10.120102, 11.263843], [9.593012, 10.794318, 11.046096, 11.080067, 11.407120, 12.122070, 12.901011, 14.809106, 16.425598, 32.454831], [12.658828, 13.021284, 14.083453, 14.396556, 15.083843, 15.316021, 17.376116, 19.509448, 20.483995, 81.828720], [8.819749, 9.079102, 9.475913, 9.550498, 10.364426, 10.494711, 11.032346, 11.497345, 13.508307, 21.979563], [9.295778, 9.595348, 9.728853, 10.415494, 10.463743, 11.754437, 12.032292, 13.230203, 13.386516, 41.795931]]
### 4
fourier: [[11.086668, 11.386066, 11.515206, 11.992864, 12.359748, 12.672253, 12.903295, 13.707458, 15.507015, 112.568258], [22.529907, 22.897607, 23.121281, 26.099661, 26.267460, 27.667618, 27.886332, 29.835608, 31.092526, 198.737542], [18.653243, 20.017154, 20.345027, 20.819287, 21.313440, 21.649332, 23.145427, 23.158904, 24.677492, 197.656321], [4.601088, 4.652625, 5.375281, 5.458428, 6.112772, 6.530642, 6.762821, 6.822464, 7.296143, 59.597587], [7.970249, 8.470909, 8.520214, 8.594792, 8.725255, 9.114851, 9.209609, 9.794627, 10.730908, 123.684418], [12.116148, 12.189127, 12.907125, 13.344516, 13.530303, 14.721432, 14.844221, 15.119278, 16.990048, 109.171355], [5.676833, 5.784763, 5.950930, 6.973104, 7.040325, 7.326863, 7.463073, 7.890076, 10.558902, 16.182053], [9.247887, 9.367383, 9.424178, 9.859288, 10.324543, 10.773850, 11.404868, 11.523510, 12.313579, 95.696520]]
### 6
fourier: [[19.719100, 19.916566, 20.468890, 21.685000, 22.549742, 23.869473, 24.749987, 25.168079, 26.906236, 176.957523], [7.730375, 8.521370, 8.811074, 9.026870, 9.203098, 9.223775, 9.279211, 9.628600, 10.445241, 91.994978], [7.147853, 8.219228, 8.228078, 8.265964, 8.297381, 8.491452, 8.528034, 8.946711, 9.910108, 77.986660], [4.551793, 4.663722, 5.093401, 5.117780, 5.311676, 5.393270, 5.563661, 6.147361, 6.208826, 8.880588], [5.592872, 5.594214, 5.627014, 6.250581, 6.976256, 7.032004, 7.267557, 7.430371, 7.743115, 31.065636], [12.604407, 13.358416, 13.364183, 13.744553, 13.918821, 14.393478, 14.863025, 15.027893, 16.525340, 139.935634], [10.938130, 12.383193, 12.659644, 12.904431, 12.973114, 13.107807, 13.622831, 13.949193, 14.757611, 117.548207], [8.908293, 9.911417, 10.017977, 10.364830, 10.434433, 10.626048, 10.650672, 11.205694, 11.897368, 100.709890]]
### 8
fourier: [[0.610234, 0.639596, 0.657583, 0.671320, 0.731621, 0.765205, 0.781967, 0.843741, 0.901518, 19.274858], [1.157485, 1.167266, 1.209212, 1.413161, 1.584405, 1.588962, 1.617820, 1.730944, 1.913083, 19.290409], [3.290458, 3.704671, 3.744319, 3.800168, 3.843552, 3.944653, 4.267016, 4.377689, 4.430274, 23.672842], [7.538285, 7.635918, 7.709514, 7.921148, 8.880022, 9.269363, 9.325094, 9.443813, 10.220781, 58.336827], [3.328237, 3.412220, 3.732340, 3.776710, 3.993447, 4.040149, 4.087540, 4.358446, 4.554078, 44.568281], [1.608187, 1.651399, 1.708878, 1.766759, 1.831273, 1.945824, 1.989091, 2.053154, 2.191801, 49.453620], [4.263444, 4.303331, 4.322952, 4.451894, 4.949786, 5.353177, 5.409538, 5.508577, 5.750872, 38.859924], [1.435855, 1.483637, 1.602305, 1.651531, 1.706535, 1.732843, 1.764127, 1.879476, 1.993063, 22.198956]]
### 10
fourier: [[0.882141, 0.892872, 0.915708, 0.915999, 1.069061, 1.111680, 1.116535, 1.126474, 1.291861, 41.025763], [1.802247, 1.923102, 2.024841, 2.026685, 2.034905, 2.153980, 2.392662, 2.407981, 2.413533, 25.890753], [4.481070, 4.896736, 4.917070, 4.941250, 5.057337, 5.436840, 5.789653, 5.861420, 5.883451, 37.264397], [1.152778, 1.177562, 1.266774, 1.314974, 1.367603, 1.378208, 1.398707, 1.501572, 1.565181, 21.293141], [0.924703, 1.019805, 1.036688, 1.045629, 1.053716, 1.137971, 1.200540, 1.238154, 1.241976, 7.677629], [2.646234, 2.711045, 2.720099, 2.768593, 3.140280, 3.281656, 3.286144, 3.363672, 3.606617, 16.088698], [0.475184, 0.489555, 0.510327, 0.543610, 0.603719, 0.625217, 0.640876, 0.728413, 0.729504, 14.615108], [1.545082, 1.557140, 1.602114, 1.610731, 1.821359, 1.933036, 1.946257, 1.955163, 2.130949, 34.853694]]
### 12
fourier: [[2.425429, 2.663358, 2.687582, 2.709455, 2.729296, 3.039853, 3.168849, 3.244272, 3.269960, 11.387675]]
## 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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|
{"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": [[-0.029649, 0.409926, 0.145139, -0.161292, 0.226204], [0.332319, 0.508442, 0.562602, -0.116669, -0.012661], [0.055965, 0.376766, 0.174448, -0.064259, -0.482332], [0.347735, 0.144598, -0.233159, -0.093237, -0.21184], [-0.3825, 0.437077, 0.025242, -0.339774, -0.159562], [0.011095, 0.410918, 0.011158, 0.500287, 0.303107], [0.520899, 0.142946, -0.200867, -0.469755, 0.338116], [-0.465287, 0.559829, 0.258486, -0.035905, 0.076349]], "network.0.bias": [0.101028, -0.112932, -0.381053, 0.046912, 0.178563, 0.015254, -0.151229, 0.350455], "network.2.weight": [[0.468001, 0.086483, -0.193419, -0.249198, -0.024344, 0.482206, -0.11072, 0.282908], [-0.008024, 0.115909, 0.201471, -0.365626, 0.186142, 0.386616, -0.439246, 0.13927], [-0.01621, 0.460262, 0.100848, -0.473023, -0.254615, 0.255956, -0.075712, 0.407258], [-0.144661, 0.34768, 0.300724, -0.133942, -0.364499, -0.219469, -0.169585, -0.030255], [0.222453, 0.305607, -0.31354, 0.239102, -0.020488, -0.229023, 0.212146, -0.151628], [-0.091294, 0.290694, -0.014419, -0.263852, 0.473431, 0.03311, -0.266037, 0.523743], [-0.347898, -0.082674, 0.426597, -0.103437, 0.153723, 0.038785, -0.341082, 0.21112], [-0.194632, 0.29853, -0.109642, 0.50982, 0.280457, 0.172781, 0.008969, -0.358547]], "network.2.bias": [0.257574, 0.263167, 0.234197, 0.1224, 0.162759, -0.338092, 0.384007, -0.017238], "network.4.weight": [[-0.430193, 0.10375, -0.33601, 0.081291, -0.044421, 0.14288, -0.042664, -0.024658], [0.47651, 0.399943, 0.406223, -0.485399, -0.247132, 0.312141, 0.10602, -0.382187], [0.505542, 0.278009, 0.207759, -0.427975, 0.233131, 0.298859, 0.152644, -0.055779], [0.086634, -0.016466, 0.048148, 0.048488, -0.02204, -0.23646, 0.163308, 0.497564], [-0.328676, -0.418855, 0.090388, -0.165426, -0.218335, 0.133972, -0.27173, 0.229345], [0.363619, 0.122172, 0.149522, -0.445567, -0.363341, 0.094468, 0.315307, 0.122359], [0.022425, -0.125968, 0.045545, 0.186046, 0.220343, -0.150381, -0.407842, 0.07376], [0.174542, -0.267804, -0.332164, 0.011469, -0.37872, -0.040586, 0.338082, -0.229673]], "network.4.bias": [0.180916, -0.212459, -0.102539, 0.305019, -0.228619, -0.078807, 0.331293, -0.147945], "network.6.weight": [[0.114488, 0.341055, 0.417559, -0.204217, -0.140311, 0.342477, -0.41317, -0.147967], [0.023565, -0.278262, 0.0296, -0.193221, -0.264221, -0.19971, -0.136331, -0.119759], [0.225317, 0.002569, -0.202106, -0.010989, 0.062037, -0.325092, -0.165788, 0.008283], [0.142061, -0.198501, -0.152584, 0.433223, -0.104721, 0.224509, -0.298868, -0.182685], [-0.21833, -0.141278, -0.185137, 0.318302, 0.013251, 0.042648, -0.276043, 0.285844], [0.17231, -0.351524, -0.258375, -0.286398, -0.270392, 0.024308, -0.240144, 0.135666], [-0.020413, -0.091525, -0.383231, -0.092559, -0.126285, -0.174829, 0.101265, 0.177279], [0.371378, -0.104449, -0.305991, -0.071471, -0.206353, -0.087851, 0.00279, 0.286845]], "network.6.bias": [0.106724, -0.052282, 0.022051, 0.199341, 0.189078, 0.026312, -0.009572, -0.057715], "network.8.weight": [[-0.023771, -0.135964, -0.352724, 0.034057, 0.17408, 0.341313, -0.136099, 0.344768], [-0.016354, -0.310075, -0.189078, 0.420837, 0.352328, -0.003848, 0.185428, -0.284919], [0.186853, 0.236692, -0.156146, 0.319588, -0.186339, 0.070996, 0.22564, -0.237], [0.361344, 0.078119, 0.267217, -0.22995, -0.269191, 0.206965, 0.34082, 0.013686], [0.207596, 0.29697, 0.213097, 0.445345, 0.328583, 0.282893, -0.030215, 0.151755], [-0.103736, 0.172596, -0.098673, -0.285118, -0.231829, -0.022439, 0.071447, -0.045929], [-0.208937, -0.176358, 0.090893, 0.308306, -0.276963, -0.019438, -0.137749, 0.053746], [-0.089512, 0.114635, 0.030532, -0.160999, -0.193746, -0.230963, 0.03037, -0.282349]], "network.8.bias": [0.25041, -0.239436, -0.131634, -0.033367, 0.024732, -0.305185, -0.036896, 0.448608], "network.10.weight": [[-0.004561, -0.02168, 0.020104, -0.192591, 0.05374, 0.139611, -0.208148, -0.188988], [-0.084558, 0.343251, -0.239194, -0.084293, -0.200443, 0.230972, 0.075919, -0.124372], [-0.112343, 0.202053, 0.283853, 0.308985, 0.24963, -0.270892, 0.150268, -0.355114], [0.132206, 0.160517, 0.062243, 0.011028, -0.379293, -0.253488, 0.289318, 0.0588], [0.31454, 0.25862, -0.218262, 0.018469, 0.013295, 0.226092, 0.10478, 0.168396], [-0.261325, 0.27408, -0.103305, 0.41192, -0.162236, 0.15978, 0.004417, -0.288064], [-0.212788, -0.340862, -0.216805, 0.220131, -0.124374, 0.230991, -0.237142, 0.144972], [-0.043756, -0.180471, 0.022282, -0.260983, 0.048093, 0.014402, 0.142153, -0.057829]], "network.10.bias": [-0.311234, -0.018236, 0.119536, 0.356642, 0.016221, 0.140511, -0.178374, -0.219501], "network.12.weight": [[0.217073, -0.005917, 0.317156, -0.192275, -0.026034, 0.346084, -0.288604, -0.350421]], "network.12.bias": [-0.278443]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6839462518692017, "train_acc": 0.565, "val_loss": 0.7008424401283264, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6813789308071136, "train_acc": 0.565, "val_loss": 0.698810338973999, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6790562272071838, "train_acc": 0.565, "val_loss": 0.6934051513671875, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.682087630033493, "train_acc": 0.565, "val_loss": 0.6838127970695496, "val_acc": 0.5}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6719744503498077, "train_acc": 0.57, "val_loss": 0.6601053476333618, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6711649298667908, "train_acc": 0.61, "val_loss": 0.6092079877853394, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6513587534427643, "train_acc": 0.635, "val_loss": 0.5845766663551331, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6301896870136261, "train_acc": 0.66, "val_loss": 0.5779467821121216, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.6240455210208893, "train_acc": 0.675, "val_loss": 0.5672200918197632, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5963096916675568, "train_acc": 0.68, "val_loss": 0.5436042547225952, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.590535044670105, "train_acc": 0.69, "val_loss": 0.5349125266075134, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.6109421849250793, "train_acc": 0.665, "val_loss": 0.5488746166229248, "val_acc": 0.74}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.5797902345657349, "train_acc": 0.69, "val_loss": 0.5120234489440918, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.5752120018005371, "train_acc": 0.67, "val_loss": 0.5266973972320557, "val_acc": 0.76}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.5651587247848511, "train_acc": 0.69, "val_loss": 0.5317034721374512, "val_acc": 0.76}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.7008424401283264, "final_val_loss": 0.6601053476333618, "initial_val_acc": 0.5, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.6092079877853394, "final_val_loss": 0.5317034721374512, "initial_val_acc": 0.82, "final_val_acc": 0.76, "best_val_acc": 0.82, "best_epoch": 5}, "improvement": 0.24, "first_improvement_epoch": 4}}
|
197
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.66, "improved_accuracy": 0.9, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1602, "learning_rate": 0.022265797932493968, "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: 5
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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"network.2.weight": [
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[
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[
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"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[23.183662, 23.286761, 24.472547, 25.223775, 27.127095, 28.293503, 28.834293, 29.339986, 32.240250, 73.248070], [13.093932, 13.542391, 16.290963, 16.911780, 17.358157, 18.059566, 18.580462, 18.741396, 20.666098, 26.219167], [14.729603, 15.507437, 15.697275, 20.242219, 20.621717, 21.529131, 24.931607, 30.195007, 30.992950, 106.132983], [16.338248, 16.359164, 17.431245, 17.866068, 18.797681, 21.736400, 23.972822, 29.404810, 33.363964, 102.716832], [20.162449, 20.286163, 21.316194, 22.520362, 23.021192, 23.071862, 23.291137, 24.830478, 28.324615, 34.994937], [19.769018, 22.057776, 22.751442, 23.978544, 25.782963, 27.419571, 28.408859, 32.859617, 37.721947, 125.133112], [18.145791, 19.562016, 20.430720, 22.010986, 24.272368, 25.181594, 29.495335, 31.858405, 35.579780, 85.309578]]
### 2
fourier: [[12.492790, 12.629269, 13.330299, 14.644994, 17.796963, 19.630304, 20.401183, 20.984736, 25.240535, 128.571949], [37.078927, 37.426608, 37.803197, 48.691796, 55.272545, 62.762853, 65.572463, 75.912651, 79.244167, 271.055927], [12.722374, 13.093590, 14.392375, 16.233447, 17.541700, 17.900406, 19.413005, 23.986829, 25.546682, 67.562318], [14.689591, 15.364780, 16.314774, 20.444911, 21.258280, 21.610589, 22.260089, 27.072650, 31.776101, 64.259115], [16.726569, 17.119733, 17.918471, 18.118706, 18.794640, 20.860008, 21.539437, 28.634756, 33.138437, 80.518337], [5.307250, 5.530028, 5.958211, 7.174126, 7.177802, 7.353248, 7.375466, 7.536326, 7.965491, 9.482168], [27.734568, 28.629899, 28.956594, 37.228402, 41.248567, 48.310435, 48.882050, 55.884899, 59.059972, 223.766702]]
### 4
fourier: [[38.160075, 38.962766, 39.889872, 51.741497, 57.573612, 66.748504, 67.433862, 78.297424, 81.667411, 308.375672], [5.502812, 5.548264, 5.611347, 7.560383, 8.465170, 9.641750, 9.664198, 11.512455, 11.621956, 66.786005], [6.298279, 6.305169, 6.528355, 6.678371, 7.568181, 10.336784, 11.194846, 11.526944, 13.442229, 70.353259], [22.514837, 22.626472, 22.662875, 30.660177, 34.076798, 37.682163, 38.383108, 44.846713, 45.609675, 158.490503], [3.470043, 3.616705, 3.780430, 4.206246, 4.616882, 6.196093, 6.205535, 6.960827, 7.441511, 58.494575], [15.030695, 15.426918, 15.598575, 20.022195, 22.356155, 25.741682, 26.606785, 30.384257, 32.308106, 80.359825], [19.465326, 19.723602, 19.918474, 26.722884, 29.573973, 32.793738, 33.137899, 38.898629, 39.845174, 143.117662]]
### 6
fourier: [[8.300910, 8.524134, 8.534508, 10.037518, 10.941311, 12.606734, 13.140275, 13.434232, 14.357438, 16.220782], [22.128985, 22.882889, 23.710033, 30.336707, 33.134830, 39.573669, 39.860327, 45.456126, 48.211242, 181.768430], [6.876381, 6.877449, 7.116330, 9.304586, 9.709564, 11.502290, 11.914969, 14.004867, 14.044256, 48.571473], [16.171686, 16.833801, 17.456582, 22.194793, 24.098412, 28.731274, 29.212593, 32.860596, 35.233873, 102.378911], [31.587388, 32.443703, 33.786506, 43.392216, 47.328146, 56.506476, 56.985903, 65.176049, 68.830285, 236.725063], [17.432571, 17.729018, 18.636629, 24.090174, 26.168685, 31.198237, 31.549566, 36.220821, 38.026162, 175.214476], [47.248369, 48.562349, 50.715189, 65.177308, 70.948566, 84.674812, 85.647599, 97.817411, 103.283302, 413.478674]]
### 8
fourier: [[15.166259, 15.772052, 16.336089, 20.858252, 22.749853, 27.243659, 27.511752, 31.269476, 33.252988, 125.318933], [14.634879, 14.751491, 15.503109, 20.211775, 21.986042, 25.992094, 26.122709, 30.577618, 31.565360, 125.899744], [52.697293, 55.106774, 57.091104, 73.332270, 79.453385, 95.279139, 96.850015, 109.523488, 116.654885, 394.728125], [18.743234, 19.714206, 20.370043, 26.215225, 28.326084, 34.018299, 34.624963, 39.045802, 41.672441, 122.428080], [9.035929, 9.117883, 9.156861, 11.887011, 13.111189, 15.049163, 15.341110, 18.414583, 18.495531, 83.305737], [30.499056, 32.784945, 33.338725, 42.673708, 45.762508, 55.556358, 57.006943, 62.823335, 68.254480, 232.090245], [21.979017, 22.818873, 23.749415, 30.611386, 33.140689, 39.676100, 40.304223, 45.725414, 48.477060, 186.309959]]
### 10
fourier: [[46.924537, 48.809288, 50.408320, 65.105576, 69.905501, 84.159424, 86.132018, 96.790341, 103.357381, 309.021781]]
## 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: 5
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: [[23.183662, 23.286761, 24.472547, 25.223775, 27.127095, 28.293503, 28.834293, 29.339986, 32.240250, 73.248070], [13.093932, 13.542391, 16.290963, 16.911780, 17.358157, 18.059566, 18.580462, 18.741396, 20.666098, 26.219167], [14.729603, 15.507437, 15.697275, 20.242219, 20.621717, 21.529131, 24.931607, 30.195007, 30.992950, 106.132983], [16.338248, 16.359164, 17.431245, 17.866068, 18.797681, 21.736400, 23.972822, 29.404810, 33.363964, 102.716832], [20.162449, 20.286163, 21.316194, 22.520362, 23.021192, 23.071862, 23.291137, 24.830478, 28.324615, 34.994937], [19.769018, 22.057776, 22.751442, 23.978544, 25.782963, 27.419571, 28.408859, 32.859617, 37.721947, 125.133112], [18.145791, 19.562016, 20.430720, 22.010986, 24.272368, 25.181594, 29.495335, 31.858405, 35.579780, 85.309578]]
### 2
fourier: [[12.492790, 12.629269, 13.330299, 14.644994, 17.796963, 19.630304, 20.401183, 20.984736, 25.240535, 128.571949], [37.078927, 37.426608, 37.803197, 48.691796, 55.272545, 62.762853, 65.572463, 75.912651, 79.244167, 271.055927], [12.722374, 13.093590, 14.392375, 16.233447, 17.541700, 17.900406, 19.413005, 23.986829, 25.546682, 67.562318], [14.689591, 15.364780, 16.314774, 20.444911, 21.258280, 21.610589, 22.260089, 27.072650, 31.776101, 64.259115], [16.726569, 17.119733, 17.918471, 18.118706, 18.794640, 20.860008, 21.539437, 28.634756, 33.138437, 80.518337], [5.307250, 5.530028, 5.958211, 7.174126, 7.177802, 7.353248, 7.375466, 7.536326, 7.965491, 9.482168], [27.734568, 28.629899, 28.956594, 37.228402, 41.248567, 48.310435, 48.882050, 55.884899, 59.059972, 223.766702]]
### 4
fourier: [[38.160075, 38.962766, 39.889872, 51.741497, 57.573612, 66.748504, 67.433862, 78.297424, 81.667411, 308.375672], [5.502812, 5.548264, 5.611347, 7.560383, 8.465170, 9.641750, 9.664198, 11.512455, 11.621956, 66.786005], [6.298279, 6.305169, 6.528355, 6.678371, 7.568181, 10.336784, 11.194846, 11.526944, 13.442229, 70.353259], [22.514837, 22.626472, 22.662875, 30.660177, 34.076798, 37.682163, 38.383108, 44.846713, 45.609675, 158.490503], [3.470043, 3.616705, 3.780430, 4.206246, 4.616882, 6.196093, 6.205535, 6.960827, 7.441511, 58.494575], [15.030695, 15.426918, 15.598575, 20.022195, 22.356155, 25.741682, 26.606785, 30.384257, 32.308106, 80.359825], [19.465326, 19.723602, 19.918474, 26.722884, 29.573973, 32.793738, 33.137899, 38.898629, 39.845174, 143.117662]]
### 6
fourier: [[8.300910, 8.524134, 8.534508, 10.037518, 10.941311, 12.606734, 13.140275, 13.434232, 14.357438, 16.220782], [22.128985, 22.882889, 23.710033, 30.336707, 33.134830, 39.573669, 39.860327, 45.456126, 48.211242, 181.768430], [6.876381, 6.877449, 7.116330, 9.304586, 9.709564, 11.502290, 11.914969, 14.004867, 14.044256, 48.571473], [16.171686, 16.833801, 17.456582, 22.194793, 24.098412, 28.731274, 29.212593, 32.860596, 35.233873, 102.378911], [31.587388, 32.443703, 33.786506, 43.392216, 47.328146, 56.506476, 56.985903, 65.176049, 68.830285, 236.725063], [17.432571, 17.729018, 18.636629, 24.090174, 26.168685, 31.198237, 31.549566, 36.220821, 38.026162, 175.214476], [47.248369, 48.562349, 50.715189, 65.177308, 70.948566, 84.674812, 85.647599, 97.817411, 103.283302, 413.478674]]
### 8
fourier: [[15.166259, 15.772052, 16.336089, 20.858252, 22.749853, 27.243659, 27.511752, 31.269476, 33.252988, 125.318933], [14.634879, 14.751491, 15.503109, 20.211775, 21.986042, 25.992094, 26.122709, 30.577618, 31.565360, 125.899744], [52.697293, 55.106774, 57.091104, 73.332270, 79.453385, 95.279139, 96.850015, 109.523488, 116.654885, 394.728125], [18.743234, 19.714206, 20.370043, 26.215225, 28.326084, 34.018299, 34.624963, 39.045802, 41.672441, 122.428080], [9.035929, 9.117883, 9.156861, 11.887011, 13.111189, 15.049163, 15.341110, 18.414583, 18.495531, 83.305737], [30.499056, 32.784945, 33.338725, 42.673708, 45.762508, 55.556358, 57.006943, 62.823335, 68.254480, 232.090245], [21.979017, 22.818873, 23.749415, 30.611386, 33.140689, 39.676100, 40.304223, 45.725414, 48.477060, 186.309959]]
### 10
fourier: [[46.924537, 48.809288, 50.408320, 65.105576, 69.905501, 84.159424, 86.132018, 96.790341, 103.357381, 309.021781]]
## 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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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.413751, -0.519337, -0.092131, 0.504557, 0.553392], [-0.033294, -0.34409, 0.402352, -0.208315, -0.098226], [0.305337, -0.027777, -0.06404, 0.12819, 0.623202], [0.562337, -0.34311, 0.127871, 0.145204, 0.284746], [0.616029, 0.134834, -0.023534, -0.075751, -0.528105], [0.225004, 0.198819, 0.036838, -0.227127, 0.792109], [0.372599, 0.051083, -0.33312, 0.020061, 0.749838]], "network.0.bias": [-0.326735, 0.104512, -0.059844, 0.137046, 0.239454, 0.181247, 0.119153], "network.2.weight": [[-0.044567, -0.356818, -0.235166, -0.1527, -0.246434, -0.416892, 0.182475], [0.713427, -0.489076, 0.56977, 0.350338, 0.359919, 0.581999, 0.431357], [-0.341999, 0.258667, -0.232849, -0.125487, 0.074849, -0.164864, -0.020473], [-0.287623, 0.260243, -0.280231, 0.142006, 0.039911, -0.283542, -0.254576], [-0.454305, -0.224565, -0.233762, 0.247609, 0.212452, -0.293979, -0.252708], [-0.215824, 0.418364, 0.262552, -0.012242, 0.146891, 0.00902, -0.295965], [0.572268, -0.221492, 0.33002, -0.01369, 0.440713, 0.292581, 0.727355]], "network.2.bias": [-0.228567, -0.375745, 0.208178, 0.378928, 0.217577, 0.101128, -0.049758], "network.4.weight": [[0.076275, 0.655804, -0.434684, -0.080848, -0.207231, -0.291917, 0.507547], [-0.140292, -0.160834, -0.328999, 0.183062, -0.197023, 0.100349, 0.011333], [0.02972, -0.247932, 0.352747, 0.086791, -0.196397, -0.356551, 0.117187], [0.254993, 0.11227, 0.198547, -0.319689, 0.237927, -0.432829, 0.631311], [0.086608, -0.130279, -0.354018, 0.080108, -0.189278, -0.043673, 0.040325], [-0.068778, -0.33924, 0.503326, 0.215462, 0.330551, -0.016419, -0.072475], [-0.242912, 0.141506, 0.07856, -0.322547, -0.165027, -0.365571, 0.483076]], "network.4.bias": [0.257983, -0.287344, -0.270487, -0.058752, -0.317182, 0.248524, 0.068127], "network.6.weight": [[0.087121, -0.018049, -0.330375, -0.228901, -0.057214, 0.603563, -0.275073], [-0.373281, 0.288142, -0.211958, -0.083632, -0.037648, 0.100488, -0.341223], [-0.013265, -0.093607, -0.223502, -0.189546, 0.198798, -0.570383, -0.150017], [0.097621, 0.068236, -0.028721, 0.146465, -0.053864, -0.235912, 0.496546], [0.539622, 0.287623, -0.256945, 0.209005, -0.367692, 0.050751, 0.385304], [-0.273116, 0.177751, -0.087869, -0.102375, -0.270181, -0.198703, -0.291889], [0.707879, 0.089688, 0.046126, 0.539899, -0.152362, 0.136918, 0.530743]], "network.6.bias": [0.616134, -0.04269, 0.172784, -0.237404, -0.238931, -0.318939, 0.299048], "network.8.weight": [[0.032655, 0.219566, -0.271695, 0.291134, -0.218025, 0.269, -0.269452], [-0.16963, -0.24417, 0.066557, -0.357155, 0.177818, 0.373714, -0.320244], [-0.338995, -0.158065, -0.350768, 0.174846, 0.669391, 0.014818, 0.605343], [0.162578, 0.202685, 0.048329, -0.145675, -0.223578, -0.001169, -0.196652], [-0.297955, -0.237266, -0.291191, 0.044904, -0.296594, -0.183743, -0.019169], [-0.607431, 0.295943, 0.085169, 0.191228, 0.262358, -0.340911, 0.381347], [0.094639, -0.13389, 0.100694, -0.24412, 0.051521, 0.334867, -0.417699]], "network.8.bias": [0.056169, 0.104423, -0.256981, 0.252522, 0.015837, 0.13317, -0.026215], "network.10.weight": [[-0.27388, 0.249732, -0.658576, 0.145529, -0.421236, -0.405113, -0.148407]], "network.10.bias": [0.553959]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.71442511677742, "train_acc": 0.45, "val_loss": 0.7103521823883057, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6980003714561462, "train_acc": 0.455, "val_loss": 0.6731632947921753, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6840513944625854, "train_acc": 0.595, "val_loss": 0.6710742115974426, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6669732630252838, "train_acc": 0.675, "val_loss": 0.6319501399993896, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6329664289951324, "train_acc": 0.77, "val_loss": 0.5520957112312317, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5753022730350494, "train_acc": 0.815, "val_loss": 0.45928698778152466, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.49655434489250183, "train_acc": 0.85, "val_loss": 0.37829306721687317, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.42329041659832, "train_acc": 0.86, "val_loss": 0.3288654386997223, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.383113831281662, "train_acc": 0.885, "val_loss": 0.32108256220817566, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.37577417492866516, "train_acc": 0.895, "val_loss": 0.3235112130641937, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3587198108434677, "train_acc": 0.92, "val_loss": 0.334649920463562, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3443100303411484, "train_acc": 0.91, "val_loss": 0.34312087297439575, "val_acc": 0.86}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7103521823883057, "final_val_loss": 0.6731632947921753, "initial_val_acc": 0.38, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.6710742115974426, "final_val_loss": 0.34312087297439575, "initial_val_acc": 0.7, "final_val_acc": 0.86, "best_val_acc": 0.9, "best_epoch": 9}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
198
|
{"target_pattern": "ends_with", "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": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5486, "learning_rate": 0.09143691368444107, "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: 7
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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],
[
-0.190189,
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],
[
0.530196,
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1.350688
],
[
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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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[
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[
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[
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"network.2.bias": [
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"network.4.weight": [
[
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## Activation Signature
### 0
fourier: [[20.547147, 23.196452, 25.397675, 25.676140, 26.917878, 28.906647, 29.728960, 32.272155, 34.179763, 50.745871], [24.420720, 25.046673, 29.833699, 29.966724, 32.949337, 33.293441, 34.489480, 38.402402, 46.074688, 171.475157], [19.368305, 19.861053, 22.677386, 22.740241, 23.403856, 23.490910, 28.138365, 30.115461, 35.281164, 81.717282], [15.316182, 15.348748, 15.909991, 16.662886, 19.140908, 19.427544, 24.911695, 28.014357, 29.194266, 53.693008], [20.068052, 20.855528, 22.165758, 22.396050, 22.897709, 24.148652, 24.159645, 24.950585, 27.359781, 102.621681], [37.202131, 38.550258, 38.612232, 38.980682, 41.209087, 47.988277, 56.555211, 65.208075, 66.813731, 262.503705], [25.499625, 30.651800, 32.324444, 35.653326, 36.039523, 40.567290, 42.464841, 50.530001, 53.644246, 198.120463]]
### 2
fourier: [[23.728314, 23.795344, 25.875584, 32.385454, 34.315137, 36.233208, 36.838352, 38.544614, 41.291111, 326.204379], [23.275146, 23.351792, 26.294752, 28.693357, 29.091578, 32.392919, 34.277506, 40.040863, 44.181740, 61.620458], [24.834940, 27.088632, 27.423676, 28.371208, 36.442988, 37.131072, 43.878022, 44.681605, 46.667578, 214.372018], [60.902005, 62.949751, 66.161694, 81.035472, 83.339779, 85.707514, 85.745288, 111.721513, 127.009466, 330.395564], [23.573247, 25.308076, 28.637022, 30.087115, 30.109816, 30.524723, 36.467472, 40.220924, 47.518304, 196.805141], [26.777208, 27.169786, 29.156246, 30.758080, 31.149479, 32.120793, 42.347523, 42.620678, 44.922625, 305.634702], [33.745397, 33.836703, 34.480848, 35.410062, 38.475364, 39.922246, 40.991037, 56.336298, 63.355830, 302.549621]]
### 4
fourier: [[29.310221, 29.449514, 32.506702, 36.024239, 36.066634, 37.412373, 43.310003, 51.513827, 63.862389, 249.133121], [11.418312, 12.774584, 13.499556, 15.831292, 17.059785, 17.239271, 18.677798, 20.736178, 24.035269, 31.536256], [36.689380, 37.030264, 38.042215, 47.761565, 49.728435, 50.018479, 51.575008, 64.612560, 77.630374, 226.922704], [20.942907, 20.965467, 22.753252, 25.732665, 26.266320, 27.403758, 30.996596, 37.474870, 45.602254, 208.257234], [10.813239, 11.460437, 11.498328, 13.646920, 14.397754, 15.481658, 15.967245, 20.592416, 23.077464, 139.099591], [30.616881, 31.519735, 33.839665, 36.626770, 37.749046, 40.011242, 46.225310, 55.840494, 66.386355, 228.673320], [36.471865, 37.967478, 38.174146, 48.493088, 50.992861, 51.831028, 52.852007, 67.446209, 78.367312, 204.338985]]
### 6
fourier: [[27.470657, 29.044082, 29.260415, 36.657976, 38.377108, 38.904396, 39.186050, 49.313875, 59.538281, 216.982172], [12.026532, 12.280707, 12.634305, 14.408787, 17.217491, 18.110375, 18.111983, 18.922545, 22.972107, 25.889078], [28.796099, 30.626354, 30.715779, 38.639245, 40.968353, 41.053685, 41.416981, 52.697553, 61.954908, 156.009707], [45.199772, 48.125963, 49.236895, 62.122724, 65.123360, 65.694430, 65.868545, 84.431756, 98.028992, 246.202936], [52.045809, 55.217248, 57.124936, 71.923117, 75.226136, 75.463944, 75.467314, 96.747808, 113.253006, 292.917268], [11.496027, 12.017158, 13.134761, 13.292118, 16.311743, 16.688151, 17.158003, 17.616072, 21.870929, 24.142414], [9.869417, 10.538551, 10.804066, 13.297006, 14.028616, 14.057115, 14.350872, 17.821390, 21.189521, 21.389715]]
### 8
fourier: [[78.628762, 81.543906, 84.619536, 105.903005, 110.689656, 111.710978, 113.048782, 145.646866, 169.117459, 423.887938], [54.592990, 57.257003, 60.412371, 75.848291, 79.166081, 79.967950, 80.341922, 104.616272, 118.191381, 292.495462], [34.159763, 36.622382, 38.263693, 48.202904, 50.571570, 50.846292, 51.145951, 66.026076, 74.782729, 78.829163], [49.905579, 52.264828, 56.268269, 70.655931, 73.444488, 73.493958, 74.530799, 97.136380, 108.086364, 237.136689], [8.162578, 8.168602, 8.262031, 10.286191, 10.682555, 10.759301, 11.263617, 14.122508, 17.255694, 38.252061], [5.738210, 5.873913, 6.313788, 7.425847, 7.967554, 8.195518, 8.443706, 9.641751, 10.450301, 10.796795], [14.490761, 14.586248, 15.142578, 18.065280, 19.022777, 19.659199, 20.221071, 24.675695, 31.269197, 59.978728]]
### 10
fourier: [[48.112629, 48.280070, 49.413771, 61.134464, 62.366361, 62.577144, 66.261703, 82.673315, 101.080903, 392.221563], [15.507811, 15.575808, 15.683180, 17.960834, 19.941903, 21.581609, 21.751964, 22.812774, 29.986564, 30.110046], [27.045781, 27.195299, 28.880263, 36.196853, 37.918165, 39.670662, 39.750387, 53.039906, 56.518780, 128.572850], [36.322799, 37.051597, 38.836938, 48.838044, 51.480192, 53.053898, 54.054941, 71.710440, 74.929423, 100.680795], [63.735006, 64.313099, 65.390675, 80.685945, 82.418158, 82.592493, 87.528041, 108.313093, 134.182137, 483.842025], [81.448498, 83.966151, 87.388695, 108.939739, 113.678181, 116.725852, 118.335605, 153.215889, 174.693013, 426.170195], [137.078692, 140.373880, 144.919801, 179.988693, 186.908436, 190.688263, 195.954509, 250.444287, 292.393092, 757.474589]]
### 12
fourier: [[117.084392, 120.598648, 124.663398, 154.306696, 159.892810, 163.316745, 167.987863, 214.029132, 250.334724, 607.782548]]
## 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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[20.547147, 23.196452, 25.397675, 25.676140, 26.917878, 28.906647, 29.728960, 32.272155, 34.179763, 50.745871], [24.420720, 25.046673, 29.833699, 29.966724, 32.949337, 33.293441, 34.489480, 38.402402, 46.074688, 171.475157], [19.368305, 19.861053, 22.677386, 22.740241, 23.403856, 23.490910, 28.138365, 30.115461, 35.281164, 81.717282], [15.316182, 15.348748, 15.909991, 16.662886, 19.140908, 19.427544, 24.911695, 28.014357, 29.194266, 53.693008], [20.068052, 20.855528, 22.165758, 22.396050, 22.897709, 24.148652, 24.159645, 24.950585, 27.359781, 102.621681], [37.202131, 38.550258, 38.612232, 38.980682, 41.209087, 47.988277, 56.555211, 65.208075, 66.813731, 262.503705], [25.499625, 30.651800, 32.324444, 35.653326, 36.039523, 40.567290, 42.464841, 50.530001, 53.644246, 198.120463]]
### 2
fourier: [[23.728314, 23.795344, 25.875584, 32.385454, 34.315137, 36.233208, 36.838352, 38.544614, 41.291111, 326.204379], [23.275146, 23.351792, 26.294752, 28.693357, 29.091578, 32.392919, 34.277506, 40.040863, 44.181740, 61.620458], [24.834940, 27.088632, 27.423676, 28.371208, 36.442988, 37.131072, 43.878022, 44.681605, 46.667578, 214.372018], [60.902005, 62.949751, 66.161694, 81.035472, 83.339779, 85.707514, 85.745288, 111.721513, 127.009466, 330.395564], [23.573247, 25.308076, 28.637022, 30.087115, 30.109816, 30.524723, 36.467472, 40.220924, 47.518304, 196.805141], [26.777208, 27.169786, 29.156246, 30.758080, 31.149479, 32.120793, 42.347523, 42.620678, 44.922625, 305.634702], [33.745397, 33.836703, 34.480848, 35.410062, 38.475364, 39.922246, 40.991037, 56.336298, 63.355830, 302.549621]]
### 4
fourier: [[29.310221, 29.449514, 32.506702, 36.024239, 36.066634, 37.412373, 43.310003, 51.513827, 63.862389, 249.133121], [11.418312, 12.774584, 13.499556, 15.831292, 17.059785, 17.239271, 18.677798, 20.736178, 24.035269, 31.536256], [36.689380, 37.030264, 38.042215, 47.761565, 49.728435, 50.018479, 51.575008, 64.612560, 77.630374, 226.922704], [20.942907, 20.965467, 22.753252, 25.732665, 26.266320, 27.403758, 30.996596, 37.474870, 45.602254, 208.257234], [10.813239, 11.460437, 11.498328, 13.646920, 14.397754, 15.481658, 15.967245, 20.592416, 23.077464, 139.099591], [30.616881, 31.519735, 33.839665, 36.626770, 37.749046, 40.011242, 46.225310, 55.840494, 66.386355, 228.673320], [36.471865, 37.967478, 38.174146, 48.493088, 50.992861, 51.831028, 52.852007, 67.446209, 78.367312, 204.338985]]
### 6
fourier: [[27.470657, 29.044082, 29.260415, 36.657976, 38.377108, 38.904396, 39.186050, 49.313875, 59.538281, 216.982172], [12.026532, 12.280707, 12.634305, 14.408787, 17.217491, 18.110375, 18.111983, 18.922545, 22.972107, 25.889078], [28.796099, 30.626354, 30.715779, 38.639245, 40.968353, 41.053685, 41.416981, 52.697553, 61.954908, 156.009707], [45.199772, 48.125963, 49.236895, 62.122724, 65.123360, 65.694430, 65.868545, 84.431756, 98.028992, 246.202936], [52.045809, 55.217248, 57.124936, 71.923117, 75.226136, 75.463944, 75.467314, 96.747808, 113.253006, 292.917268], [11.496027, 12.017158, 13.134761, 13.292118, 16.311743, 16.688151, 17.158003, 17.616072, 21.870929, 24.142414], [9.869417, 10.538551, 10.804066, 13.297006, 14.028616, 14.057115, 14.350872, 17.821390, 21.189521, 21.389715]]
### 8
fourier: [[78.628762, 81.543906, 84.619536, 105.903005, 110.689656, 111.710978, 113.048782, 145.646866, 169.117459, 423.887938], [54.592990, 57.257003, 60.412371, 75.848291, 79.166081, 79.967950, 80.341922, 104.616272, 118.191381, 292.495462], [34.159763, 36.622382, 38.263693, 48.202904, 50.571570, 50.846292, 51.145951, 66.026076, 74.782729, 78.829163], [49.905579, 52.264828, 56.268269, 70.655931, 73.444488, 73.493958, 74.530799, 97.136380, 108.086364, 237.136689], [8.162578, 8.168602, 8.262031, 10.286191, 10.682555, 10.759301, 11.263617, 14.122508, 17.255694, 38.252061], [5.738210, 5.873913, 6.313788, 7.425847, 7.967554, 8.195518, 8.443706, 9.641751, 10.450301, 10.796795], [14.490761, 14.586248, 15.142578, 18.065280, 19.022777, 19.659199, 20.221071, 24.675695, 31.269197, 59.978728]]
### 10
fourier: [[48.112629, 48.280070, 49.413771, 61.134464, 62.366361, 62.577144, 66.261703, 82.673315, 101.080903, 392.221563], [15.507811, 15.575808, 15.683180, 17.960834, 19.941903, 21.581609, 21.751964, 22.812774, 29.986564, 30.110046], [27.045781, 27.195299, 28.880263, 36.196853, 37.918165, 39.670662, 39.750387, 53.039906, 56.518780, 128.572850], [36.322799, 37.051597, 38.836938, 48.838044, 51.480192, 53.053898, 54.054941, 71.710440, 74.929423, 100.680795], [63.735006, 64.313099, 65.390675, 80.685945, 82.418158, 82.592493, 87.528041, 108.313093, 134.182137, 483.842025], [81.448498, 83.966151, 87.388695, 108.939739, 113.678181, 116.725852, 118.335605, 153.215889, 174.693013, 426.170195], [137.078692, 140.373880, 144.919801, 179.988693, 186.908436, 190.688263, 195.954509, 250.444287, 292.393092, 757.474589]]
### 12
fourier: [[117.084392, 120.598648, 124.663398, 154.306696, 159.892810, 163.316745, 167.987863, 214.029132, 250.334724, 607.782548]]
## 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": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.158549, 0.302977, 0.504789, 0.107224, -0.845887], [-0.111653, 0.492791, 0.17556, 0.045636, 0.962925], [-0.120909, 0.018354, -0.185759, 0.246695, 0.8377], [0.238413, -0.022045, -0.552348, 0.227883, -0.401982], [-0.190189, 0.373948, 0.237017, 0.238104, -0.658071], [0.530196, -0.120105, 0.221399, 0.086081, 1.350688], [0.484467, 0.233612, -0.011083, -0.202406, 1.081136]], "network.0.bias": [-0.032065, -0.505947, -0.149167, 0.30778, 0.501424, 0.162844, 0.29655], "network.2.weight": [[-0.644424, -0.58877, -0.145407, 0.149832, -0.352973, -0.431936, 0.218915], [0.082765, 0.078455, -0.143131, 0.361578, 0.401717, -0.149335, -0.457163], [-0.358202, -0.204284, -0.005234, -0.091939, -0.168461, -0.289156, -0.470922], [-0.440828, 0.219847, 0.454569, -0.10756, -0.381287, 0.422033, 1.130506], [0.007516, -0.396232, -0.055198, 0.15964, -0.123275, -0.352962, -0.084645], [-0.311933, -0.06784, -0.514302, 0.090715, -0.499189, -0.457261, -0.098337], [0.341739, -0.395454, -0.69285, -1.202448, -0.325978, -0.106091, -0.353149]], "network.2.bias": [-0.567083, 0.079158, 0.433889, 0.060635, -0.06157, -0.325532, -0.569138], "network.4.weight": [[0.136781, -0.802357, 0.240762, -0.548241, 0.301563, -0.353682, 0.097302], [0.594158, 0.322656, -0.49004, -0.175787, -0.62044, 0.601161, -0.496645], [-0.328326, 0.105673, 0.699555, 0.629288, -0.102334, -0.121924, 0.154585], [-0.037017, -0.450734, 0.264266, -0.39059, 0.526604, -0.186053, 0.177313], [-0.092613, 0.046479, -0.018719, -0.189274, 0.716292, -0.477636, 0.026806], [-0.946255, -0.672172, 0.473083, -0.557618, 0.476118, -0.625401, -0.509019], [-0.362058, -0.105807, 0.125703, 0.626562, -0.119249, -0.130692, 0.849792]], "network.4.bias": [-0.302178, 0.185704, 0.015194, -0.571633, -0.788084, -0.151966, -0.131363], "network.6.weight": [[0.262997, 0.199198, -0.520115, 0.518547, 0.205476, -0.33792, -0.247582], [-0.313276, 0.597734, -0.201962, -0.542805, -0.265702, -0.608295, -0.083445], [0.587776, 0.508781, -0.33854, -0.153039, 0.400488, 0.08466, -0.456595], [0.135447, -0.957505, 0.705551, 0.444118, 0.170119, -0.227751, 0.514239], [0.353162, -0.989148, 0.735278, 0.451982, 0.084429, 0.431658, 0.666387], [-0.268108, 0.615953, 0.075509, -0.483967, -0.092436, -0.29598, -0.349188], [-0.588705, -0.147598, 0.002168, -0.123593, 0.156408, 0.207527, 0.273539]], "network.6.bias": [-0.491161, 0.578999, 0.195424, -0.046765, 0.093521, 0.308371, -0.418983], "network.8.weight": [[0.237577, -0.715021, -0.091146, 0.661395, 0.879628, -0.194367, 0.077346], [0.502192, -0.567639, -0.400677, 0.559957, 0.501974, -0.628467, 0.05921], [-0.042737, 0.452995, 0.621517, -0.342977, -0.199807, 0.547329, -0.730555], [0.165337, -0.775532, -0.13026, 0.26753, 0.69755, -0.696018, -0.199001], [-0.56974, -0.04901, -0.304142, -0.093161, -0.03467, 0.139401, -0.191233], [-0.699271, 0.48268, -0.10865, -0.015376, -0.038182, -0.035128, -0.039416], [-0.092515, 0.035132, 0.015157, 0.394945, -0.116464, 0.128239, 0.374933]], "network.8.bias": [0.109271, 0.331809, 0.696023, 0.041422, -0.01114, 0.051864, -0.267772], "network.10.weight": [[-0.348143, -0.649333, -0.734581, 0.014451, 0.143252, 0.600768, 0.802442], [-0.247649, 0.182879, 0.633358, 0.08081, -0.094388, -0.007863, -0.402621], [-0.100864, -0.389284, 0.420518, -0.026119, -0.494998, -0.144975, 0.341449], [0.453429, -0.330139, -0.878263, 0.332913, 0.281587, 0.05853, -0.137043], [-0.38087, -0.321792, -0.794949, -0.602008, 0.271824, 0.181106, 0.649915], [0.706108, 0.089549, -0.587256, 0.386464, 0.404313, -0.447394, 0.044982], [0.83869, 0.672055, -0.237262, 0.783454, -0.02056, -0.183298, -0.18298]], "network.10.bias": [-0.397916, 0.333625, -0.003729, -0.262719, -0.268465, 0.13568, -0.342245], "network.12.weight": [[-0.450108, 0.474302, 0.157929, -0.171336, -0.573893, -0.346903, -0.612116]], "network.12.bias": [0.440908]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7070909142494202, "train_acc": 0.45, "val_loss": 0.6663975715637207, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7080367207527161, "train_acc": 0.55, "val_loss": 0.6334049105644226, "val_acc": 0.6}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6567060649394989, "train_acc": 0.55, "val_loss": 0.630994439125061, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5633304864168167, "train_acc": 0.59, "val_loss": 0.42919644713401794, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4762878715991974, "train_acc": 0.785, "val_loss": 0.35927069187164307, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3528342843055725, "train_acc": 0.85, "val_loss": 0.34281671047210693, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.39236360788345337, "train_acc": 0.855, "val_loss": 0.4508087933063507, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3892638832330704, "train_acc": 0.83, "val_loss": 0.4655453562736511, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3832217901945114, "train_acc": 0.835, "val_loss": 0.440125048160553, "val_acc": 0.76}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6663975715637207, "final_val_loss": 0.630994439125061, "initial_val_acc": 0.6, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.42919644713401794, "final_val_loss": 0.440125048160553, "initial_val_acc": 0.78, "final_val_acc": 0.76, "best_val_acc": 0.84, "best_epoch": 5}, "improvement": 0.17999999999999994, "first_improvement_epoch": 2}}
|
199
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.86, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3673, "learning_rate": 0.09982321313561107, "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: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.6.weight": [
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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[20.233991, 20.783249, 20.849345, 22.554319, 23.156506, 26.583873, 28.325541, 33.670623, 35.892835, 309.275288], [29.194822, 29.451082, 29.954785, 30.778736, 32.846454, 33.812045, 39.048282, 39.784729, 44.053257, 323.113336], [29.579121, 30.053040, 30.228689, 32.038705, 33.546141, 33.947931, 34.666051, 38.099426, 40.714602, 65.361001], [26.342668, 27.919214, 30.191021, 30.723926, 31.549243, 32.484635, 38.207211, 42.526832, 49.353061, 187.481764], [12.036150, 12.227676, 13.078870, 13.363634, 13.802722, 13.911668, 14.812433, 15.764021, 18.586468, 84.342404], [10.947799, 11.514853, 11.686499, 11.792719, 11.837400, 12.499263, 12.991064, 14.899807, 15.344307, 17.199199], [23.594631, 24.088812, 24.389698, 24.428661, 24.891135, 25.524068, 28.640497, 32.481839, 34.111575, 53.108014], [26.743945, 28.320198, 28.720346, 29.013867, 29.867380, 30.902338, 34.514637, 34.870621, 39.620621, 115.793937]]
### 2
fourier: [[33.994576, 34.222033, 34.741596, 36.281887, 38.835556, 40.900657, 50.385827, 51.383947, 57.880707, 69.269735], [5.491530, 5.539577, 6.251787, 6.426776, 7.412769, 7.900371, 8.118866, 8.403475, 10.130516, 52.293254], [27.108070, 28.098499, 28.731791, 30.636922, 32.207420, 35.430390, 38.611173, 41.178841, 45.526817, 62.570896], [23.770824, 25.253882, 28.128983, 28.232303, 28.380633, 30.232181, 34.826870, 38.813756, 39.168812, 46.230303], [10.421732, 10.440202, 10.646309, 10.975248, 11.310962, 11.443774, 12.382064, 14.056587, 16.109310, 42.544344], [16.849444, 17.425627, 17.515932, 17.595528, 18.340565, 18.622487, 19.097755, 20.537101, 26.404568, 82.873620], [23.847649, 24.503804, 24.844777, 25.103539, 27.273569, 32.250192, 34.225015, 38.163994, 44.139227, 130.154488], [19.717760, 19.785130, 20.242282, 21.721694, 22.450973, 23.011720, 23.240487, 25.644383, 31.452499, 65.168598]]
### 4
fourier: [[36.800000, 37.247116, 38.035670, 39.984786, 40.643177, 41.462830, 55.411003, 57.384477, 70.075368, 138.870615], [13.089145, 13.554648, 14.457077, 15.688729, 15.727168, 15.771668, 17.288406, 23.989150, 25.231867, 173.039653], [8.968221, 9.433888, 10.075628, 10.096027, 10.768102, 11.559808, 13.744685, 16.108128, 19.837149, 90.440594], [22.668671, 24.501805, 25.732977, 26.809381, 27.635308, 29.537391, 30.045685, 33.957481, 35.127972, 39.944919], [12.898534, 13.524299, 13.589180, 13.709758, 14.098226, 14.121155, 15.868420, 17.785212, 18.521332, 59.991743], [39.563851, 39.880694, 40.377709, 40.454663, 40.739801, 41.343490, 57.744453, 58.982686, 70.720077, 201.635691], [16.793511, 17.703797, 18.217122, 18.284454, 20.062368, 20.617390, 21.773016, 24.932511, 27.933460, 83.192023], [8.197859, 8.999260, 9.133403, 9.145281, 9.259379, 9.297146, 9.950450, 13.865796, 16.745025, 43.246661]]
### 6
fourier: [[9.018999, 9.123203, 9.628686, 10.144229, 10.272860, 10.292270, 10.307950, 13.570376, 15.473635, 75.510636], [18.149284, 18.216227, 21.169888, 21.891988, 22.740232, 23.076253, 24.818663, 26.967006, 29.098009, 32.187632], [37.830468, 37.982105, 38.723721, 38.744208, 39.087494, 40.685899, 53.813565, 58.705264, 69.305458, 174.662007], [26.196434, 28.865610, 29.248580, 30.714924, 31.232840, 31.764243, 36.796539, 37.131718, 41.144927, 46.937312], [19.743807, 19.866162, 20.075697, 20.219499, 20.581244, 20.981303, 28.315246, 30.539420, 36.459159, 124.664221], [47.853707, 47.855217, 48.345687, 50.778116, 50.972315, 53.658399, 69.492799, 70.578012, 86.850020, 159.909538], [2.741799, 2.818672, 3.289304, 3.309778, 3.419713, 3.422866, 3.515462, 3.664446, 3.869237, 45.937019], [16.399355, 16.699386, 17.005572, 17.875557, 18.098409, 18.851848, 21.105265, 29.174428, 30.770915, 158.349241]]
### 8
fourier: [[23.108052, 24.550954, 25.829297, 26.319775, 26.684621, 29.000422, 33.844650, 40.776911, 46.479684, 107.098977], [9.182608, 10.482606, 11.285900, 11.657626, 12.356307, 12.493205, 14.232201, 15.301872, 15.847297, 16.741050], [24.256967, 25.287304, 25.754359, 26.276960, 26.358088, 28.169611, 34.518621, 40.559607, 46.427570, 117.551870], [59.332380, 59.891777, 60.394496, 62.638358, 62.878293, 63.960453, 84.526415, 89.116990, 107.534636, 196.957061], [11.138410, 11.475976, 11.669405, 11.688433, 12.045871, 12.090104, 12.402320, 16.195493, 17.452184, 20.762750], [60.622895, 61.069022, 62.718459, 63.249453, 63.493951, 66.580293, 85.331261, 96.521421, 112.942680, 296.064870], [10.292012, 10.675214, 11.586647, 12.013859, 12.660275, 13.966306, 13.987602, 14.647186, 15.597845, 17.229840], [28.344153, 28.411098, 30.795515, 32.159039, 32.402994, 35.748813, 39.634973, 50.498440, 56.541365, 206.905274]]
### 10
fourier: [[48.811177, 50.085767, 50.772056, 51.142719, 51.408055, 53.116553, 68.671684, 77.847306, 90.908886, 221.262890]]
## 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: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[20.233991, 20.783249, 20.849345, 22.554319, 23.156506, 26.583873, 28.325541, 33.670623, 35.892835, 309.275288], [29.194822, 29.451082, 29.954785, 30.778736, 32.846454, 33.812045, 39.048282, 39.784729, 44.053257, 323.113336], [29.579121, 30.053040, 30.228689, 32.038705, 33.546141, 33.947931, 34.666051, 38.099426, 40.714602, 65.361001], [26.342668, 27.919214, 30.191021, 30.723926, 31.549243, 32.484635, 38.207211, 42.526832, 49.353061, 187.481764], [12.036150, 12.227676, 13.078870, 13.363634, 13.802722, 13.911668, 14.812433, 15.764021, 18.586468, 84.342404], [10.947799, 11.514853, 11.686499, 11.792719, 11.837400, 12.499263, 12.991064, 14.899807, 15.344307, 17.199199], [23.594631, 24.088812, 24.389698, 24.428661, 24.891135, 25.524068, 28.640497, 32.481839, 34.111575, 53.108014], [26.743945, 28.320198, 28.720346, 29.013867, 29.867380, 30.902338, 34.514637, 34.870621, 39.620621, 115.793937]]
### 2
fourier: [[33.994576, 34.222033, 34.741596, 36.281887, 38.835556, 40.900657, 50.385827, 51.383947, 57.880707, 69.269735], [5.491530, 5.539577, 6.251787, 6.426776, 7.412769, 7.900371, 8.118866, 8.403475, 10.130516, 52.293254], [27.108070, 28.098499, 28.731791, 30.636922, 32.207420, 35.430390, 38.611173, 41.178841, 45.526817, 62.570896], [23.770824, 25.253882, 28.128983, 28.232303, 28.380633, 30.232181, 34.826870, 38.813756, 39.168812, 46.230303], [10.421732, 10.440202, 10.646309, 10.975248, 11.310962, 11.443774, 12.382064, 14.056587, 16.109310, 42.544344], [16.849444, 17.425627, 17.515932, 17.595528, 18.340565, 18.622487, 19.097755, 20.537101, 26.404568, 82.873620], [23.847649, 24.503804, 24.844777, 25.103539, 27.273569, 32.250192, 34.225015, 38.163994, 44.139227, 130.154488], [19.717760, 19.785130, 20.242282, 21.721694, 22.450973, 23.011720, 23.240487, 25.644383, 31.452499, 65.168598]]
### 4
fourier: [[36.800000, 37.247116, 38.035670, 39.984786, 40.643177, 41.462830, 55.411003, 57.384477, 70.075368, 138.870615], [13.089145, 13.554648, 14.457077, 15.688729, 15.727168, 15.771668, 17.288406, 23.989150, 25.231867, 173.039653], [8.968221, 9.433888, 10.075628, 10.096027, 10.768102, 11.559808, 13.744685, 16.108128, 19.837149, 90.440594], [22.668671, 24.501805, 25.732977, 26.809381, 27.635308, 29.537391, 30.045685, 33.957481, 35.127972, 39.944919], [12.898534, 13.524299, 13.589180, 13.709758, 14.098226, 14.121155, 15.868420, 17.785212, 18.521332, 59.991743], [39.563851, 39.880694, 40.377709, 40.454663, 40.739801, 41.343490, 57.744453, 58.982686, 70.720077, 201.635691], [16.793511, 17.703797, 18.217122, 18.284454, 20.062368, 20.617390, 21.773016, 24.932511, 27.933460, 83.192023], [8.197859, 8.999260, 9.133403, 9.145281, 9.259379, 9.297146, 9.950450, 13.865796, 16.745025, 43.246661]]
### 6
fourier: [[9.018999, 9.123203, 9.628686, 10.144229, 10.272860, 10.292270, 10.307950, 13.570376, 15.473635, 75.510636], [18.149284, 18.216227, 21.169888, 21.891988, 22.740232, 23.076253, 24.818663, 26.967006, 29.098009, 32.187632], [37.830468, 37.982105, 38.723721, 38.744208, 39.087494, 40.685899, 53.813565, 58.705264, 69.305458, 174.662007], [26.196434, 28.865610, 29.248580, 30.714924, 31.232840, 31.764243, 36.796539, 37.131718, 41.144927, 46.937312], [19.743807, 19.866162, 20.075697, 20.219499, 20.581244, 20.981303, 28.315246, 30.539420, 36.459159, 124.664221], [47.853707, 47.855217, 48.345687, 50.778116, 50.972315, 53.658399, 69.492799, 70.578012, 86.850020, 159.909538], [2.741799, 2.818672, 3.289304, 3.309778, 3.419713, 3.422866, 3.515462, 3.664446, 3.869237, 45.937019], [16.399355, 16.699386, 17.005572, 17.875557, 18.098409, 18.851848, 21.105265, 29.174428, 30.770915, 158.349241]]
### 8
fourier: [[23.108052, 24.550954, 25.829297, 26.319775, 26.684621, 29.000422, 33.844650, 40.776911, 46.479684, 107.098977], [9.182608, 10.482606, 11.285900, 11.657626, 12.356307, 12.493205, 14.232201, 15.301872, 15.847297, 16.741050], [24.256967, 25.287304, 25.754359, 26.276960, 26.358088, 28.169611, 34.518621, 40.559607, 46.427570, 117.551870], [59.332380, 59.891777, 60.394496, 62.638358, 62.878293, 63.960453, 84.526415, 89.116990, 107.534636, 196.957061], [11.138410, 11.475976, 11.669405, 11.688433, 12.045871, 12.090104, 12.402320, 16.195493, 17.452184, 20.762750], [60.622895, 61.069022, 62.718459, 63.249453, 63.493951, 66.580293, 85.331261, 96.521421, 112.942680, 296.064870], [10.292012, 10.675214, 11.586647, 12.013859, 12.660275, 13.966306, 13.987602, 14.647186, 15.597845, 17.229840], [28.344153, 28.411098, 30.795515, 32.159039, 32.402994, 35.748813, 39.634973, 50.498440, 56.541365, 206.905274]]
### 10
fourier: [[48.811177, 50.085767, 50.772056, 51.142719, 51.408055, 53.116553, 68.671684, 77.847306, 90.908886, 221.262890]]
## 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": 0.6999837458133698, "train_acc": 0.435, "val_loss": 0.7106387615203857, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6751907467842102, "train_acc": 0.58, "val_loss": 0.6676196455955505, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5837266445159912, "train_acc": 0.615, "val_loss": 0.7124322652816772, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.8014166951179504, "train_acc": 0.765, "val_loss": 0.37839049100875854, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4093441665172577, "train_acc": 0.805, "val_loss": 0.44564324617385864, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4574643224477768, "train_acc": 0.775, "val_loss": 0.44929298758506775, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4619082659482956, "train_acc": 0.755, "val_loss": 0.44013476371765137, "val_acc": 0.74}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7106387615203857, "final_val_loss": 0.6676196455955505, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.7124322652816772, "final_val_loss": 0.44013476371765137, "initial_val_acc": 0.82, "final_val_acc": 0.74, "best_val_acc": 0.86, "best_epoch": 3}, "improvement": 0.38, "first_improvement_epoch": 1}}
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