Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1022 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Max Act: 0.0213. Min Act: -0.0005
Data Index: 1135394 (C4 (Web Text))
Max Activating Token Index: 157
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Full Text #0
Text #1
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Data Index: 296382 (C4 (Web Text))
Max Activating Token Index: 13
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Text #2
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Data Index: 1273721 (C4 (Web Text))
Max Activating Token Index: 47
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Text #3
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Data Index: 763455 (C4 (Web Text))
Max Activating Token Index: 857
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Text #4
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Max Act: 0.0200. Min Act: -0.0005
Data Index: 263489 (C4 (Web Text))
Max Activating Token Index: 523
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Text #5
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Data Index: 1574967 (Python Code)
Max Activating Token Index: 647
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Text #6
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Data Index: 568905 (C4 (Web Text))
Max Activating Token Index: 882
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Text #7
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Data Index: 1338372 (C4 (Web Text))
Max Activating Token Index: 835
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Text #8
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Data Index: 1603462 (Python Code)
Max Activating Token Index: 143
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Text #9
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Data Index: 144536 (C4 (Web Text))
Max Activating Token Index: 361
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Text #10
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Data Index: 620637 (C4 (Web Text))
Max Activating Token Index: 856
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Text #11
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Data Index: 745769 (C4 (Web Text))
Max Activating Token Index: 766
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Text #12
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Data Index: 1239799 (C4 (Web Text))
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Text #13
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Data Index: 285386 (C4 (Web Text))
Max Activating Token Index: 39
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Text #14
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Data Index: 1081354 (C4 (Web Text))
Max Activating Token Index: 155
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Text #15
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Data Index: 1193948 (C4 (Web Text))
Max Activating Token Index: 298
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Text #16
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Max Act: 0.0192. Min Act: -0.0005
Data Index: 1353467 (C4 (Web Text))
Max Activating Token Index: 259
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Text #17
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Max Act: 0.0194. Min Act: -0.0005
Data Index: 372129 (C4 (Web Text))
Max Activating Token Index: 828
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Text #18
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Data Index: 409540 (C4 (Web Text))
Max Activating Token Index: 436
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Text #19
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Max Act: 0.0192. Min Act: -0.0005
Data Index: 779105 (C4 (Web Text))
Max Activating Token Index: 190
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