Model: SoLU Model: 8 Layers, 4096 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1271 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')
Text #0
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Data Index: 176172 (C4 (Web Text))
Max Activating Token Index: 135
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Text #1
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Data Index: 294352 (C4 (Web Text))
Max Activating Token Index: 734
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Text #2
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Data Index: 651658 (C4 (Web Text))
Max Activating Token Index: 220
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Text #3
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Data Index: 200866 (C4 (Web Text))
Max Activating Token Index: 646
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Text #4
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Data Index: 299588 (C4 (Web Text))
Max Activating Token Index: 906
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Text #5
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Data Index: 322149 (C4 (Web Text))
Max Activating Token Index: 808
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Text #6
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Data Index: 1281594 (C4 (Web Text))
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Text #7
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Data Index: 453338 (C4 (Web Text))
Max Activating Token Index: 849
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Text #8
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Data Index: 350824 (C4 (Web Text))
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Text #9
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Data Index: 249784 (C4 (Web Text))
Max Activating Token Index: 638
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Text #10
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Data Index: 639622 (C4 (Web Text))
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Text #11
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Data Index: 101765 (C4 (Web Text))
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Text #12
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Data Index: 988456 (C4 (Web Text))
Max Activating Token Index: 890
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Text #13
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Data Index: 593930 (C4 (Web Text))
Max Activating Token Index: 964
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Text #14
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Data Index: 1047786 (C4 (Web Text))
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Text #15
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Data Index: 284637 (C4 (Web Text))
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Text #16
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Data Index: 1211303 (C4 (Web Text))
Max Activating Token Index: 560
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Text #17
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Data Index: 596506 (C4 (Web Text))
Max Activating Token Index: 209
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Text #18
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Max Act: 0.0092. Min Act: -0.0003
Data Index: 69615 (C4 (Web Text))
Max Activating Token Index: 948
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Text #19
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Data Index: 1003289 (C4 (Web Text))
Max Activating Token Index: 557
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