Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 896 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0479. Min Act: -0.0003

Data Index: 670174 (C4 (Web Text))

Max Activating Token Index: 90

Text #1

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Max Activating Token Index: 820

Text #2

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Max Activating Token Index: 724

Text #3

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Max Act: 0.0393. Min Act: -0.0003

Data Index: 811486 (C4 (Web Text))

Max Activating Token Index: 393

Text #4

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Max Activating Token Index: 614

Text #5

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Max Activating Token Index: 250

Text #6

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Max Activating Token Index: 877

Text #7

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Max Activating Token Index: 314

Text #8

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Max Activating Token Index: 331

Text #9

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Max Activating Token Index: 184

Text #10

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Max Activating Token Index: 138

Text #11

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Data Index: 30730 (C4 (Web Text))

Max Activating Token Index: 383

Text #12

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Max Activating Token Index: 711

Text #13

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Max Activating Token Index: 798

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 858

Text #18

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Max Activating Token Index: 779

Text #19

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Data Index: 585656 (C4 (Web Text))

Max Activating Token Index: 97