Model: SoLU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 979 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')
Text #0
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Data Index: 456447 (C4 (Web Text))
Max Activating Token Index: 401
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Text #1
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Data Index: 1237677 (C4 (Web Text))
Max Activating Token Index: 750
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Text #2
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Data Index: 1169281 (C4 (Web Text))
Max Activating Token Index: 760
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Text #3
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Data Index: 1328415 (C4 (Web Text))
Max Activating Token Index: 153
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Text #4
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Data Index: 46804 (C4 (Web Text))
Max Activating Token Index: 448
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Text #5
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Data Index: 928899 (C4 (Web Text))
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Text #6
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Data Index: 132456 (C4 (Web Text))
Max Activating Token Index: 819
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Text #7
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Data Index: 654174 (C4 (Web Text))
Max Activating Token Index: 266
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Text #8
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Data Index: 150850 (C4 (Web Text))
Max Activating Token Index: 614
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Text #9
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Data Index: 18179 (C4 (Web Text))
Max Activating Token Index: 112
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Text #10
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Data Index: 857878 (C4 (Web Text))
Max Activating Token Index: 543
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Text #11
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Data Index: 236409 (C4 (Web Text))
Max Activating Token Index: 497
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Text #12
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Data Index: 493207 (C4 (Web Text))
Max Activating Token Index: 579
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Text #13
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Data Index: 245781 (C4 (Web Text))
Max Activating Token Index: 812
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Text #14
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Data Index: 1137510 (C4 (Web Text))
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Text #15
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Data Index: 934415 (C4 (Web Text))
Max Activating Token Index: 896
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Text #16
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Data Index: 1190776 (C4 (Web Text))
Max Activating Token Index: 698
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Text #17
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Data Index: 626017 (C4 (Web Text))
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Text #18
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Data Index: 718603 (C4 (Web Text))
Max Activating Token Index: 350
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Text #19
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Max Act: 0.0096. Min Act: -0.0006
Data Index: 842915 (C4 (Web Text))
Max Activating Token Index: 280
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