Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1159 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Max Act: 0.0073. Min Act: -0.0006
Data Index: 447987 (C4 (Web Text))
Max Activating Token Index: 1021
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Text #1
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Max Act: 0.0057. Min Act: -0.0005
Data Index: 1056416 (C4 (Web Text))
Max Activating Token Index: 95
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Text #2
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Max Act: 0.0056. Min Act: -0.0005
Data Index: 585394 (C4 (Web Text))
Max Activating Token Index: 49
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Text #3
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Max Act: 0.0055. Min Act: -0.0005
Data Index: 525657 (C4 (Web Text))
Max Activating Token Index: 87
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Text #4
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Data Index: 1652201 (Python Code)
Max Activating Token Index: 64
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Text #5
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Data Index: 712041 (C4 (Web Text))
Max Activating Token Index: 300
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Text #6
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Data Index: 663367 (C4 (Web Text))
Max Activating Token Index: 889
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Text #7
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Data Index: 63465 (C4 (Web Text))
Max Activating Token Index: 193
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Text #8
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Data Index: 268881 (C4 (Web Text))
Max Activating Token Index: 933
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Text #9
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Data Index: 683408 (C4 (Web Text))
Max Activating Token Index: 227
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Text #10
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Data Index: 1492772 (Python Code)
Max Activating Token Index: 568
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Text #11
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Data Index: 534209 (C4 (Web Text))
Max Activating Token Index: 255
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Text #12
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Data Index: 1336342 (C4 (Web Text))
Max Activating Token Index: 61
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Text #13
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Max Act: 0.0052. Min Act: -0.0006
Data Index: 130334 (C4 (Web Text))
Max Activating Token Index: 695
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Text #14
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Data Index: 473318 (C4 (Web Text))
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Text #15
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Data Index: 760559 (C4 (Web Text))
Max Activating Token Index: 659
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Text #16
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Max Act: 0.0051. Min Act: -0.0005
Data Index: 743420 (C4 (Web Text))
Max Activating Token Index: 236
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Text #17
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Max Act: 0.0051. Min Act: -0.0005
Data Index: 290107 (C4 (Web Text))
Max Activating Token Index: 242
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Text #18
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Data Index: 846539 (C4 (Web Text))
Max Activating Token Index: 526
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Text #19
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Max Act: 0.0050. Min Act: -0.0005
Data Index: 269157 (C4 (Web Text))
Max Activating Token Index: 189
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