Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 49 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Max Act: 0.0188. Min Act: -0.0005
Data Index: 1089450 (C4 (Web Text))
Max Activating Token Index: 211
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Full Text #0
Text #1
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Max Act: 0.0180. Min Act: -0.0005
Data Index: 877958 (C4 (Web Text))
Max Activating Token Index: 184
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Full Text #1
Text #2
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Data Index: 979982 (C4 (Web Text))
Max Activating Token Index: 283
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Text #3
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Data Index: 949282 (C4 (Web Text))
Max Activating Token Index: 319
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Text #4
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Max Act: 0.0170. Min Act: -0.0005
Data Index: 832575 (C4 (Web Text))
Max Activating Token Index: 138
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Text #5
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Data Index: 932257 (C4 (Web Text))
Max Activating Token Index: 268
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Text #6
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Data Index: 579364 (C4 (Web Text))
Max Activating Token Index: 848
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Text #7
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Data Index: 384157 (C4 (Web Text))
Max Activating Token Index: 778
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Text #8
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Data Index: 1042588 (C4 (Web Text))
Max Activating Token Index: 85
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Text #9
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Data Index: 1337831 (C4 (Web Text))
Max Activating Token Index: 124
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Text #10
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Data Index: 1093014 (C4 (Web Text))
Max Activating Token Index: 42
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Full Text #10
Text #11
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Data Index: 581341 (C4 (Web Text))
Max Activating Token Index: 113
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Text #12
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Data Index: 877524 (C4 (Web Text))
Max Activating Token Index: 209
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Text #13
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Max Act: 0.0166. Min Act: -0.0005
Data Index: 709633 (C4 (Web Text))
Max Activating Token Index: 250
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Text #14
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Data Index: 488055 (C4 (Web Text))
Max Activating Token Index: 790
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Text #15
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Data Index: 870422 (C4 (Web Text))
Max Activating Token Index: 871
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Text #16
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Max Act: 0.0166. Min Act: -0.0006
Data Index: 1145093 (C4 (Web Text))
Max Activating Token Index: 183
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Text #17
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Max Act: 0.0165. Min Act: -0.0005
Data Index: 618866 (C4 (Web Text))
Max Activating Token Index: 931
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Text #18
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Data Index: 906022 (C4 (Web Text))
Max Activating Token Index: 683
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Text #19
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Max Act: 0.0163. Min Act: -0.0005
Data Index: 252355 (C4 (Web Text))
Max Activating Token Index: 240
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