Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 965 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Data Index: 1008754 (C4 (Web Text))

Max Activating Token Index: 291

Text #1

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Data Index: 1868 (C4 (Web Text))

Max Activating Token Index: 81

Text #2

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Data Index: 239903 (C4 (Web Text))

Max Activating Token Index: 367

Text #3

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Data Index: 245271 (C4 (Web Text))

Max Activating Token Index: 288

Text #4

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Data Index: 476990 (C4 (Web Text))

Max Activating Token Index: 73

Text #5

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Max Activating Token Index: 892

Text #6

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Max Activating Token Index: 632

Text #7

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Text #8

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Max Activating Token Index: 1017

Text #9

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Max Activating Token Index: 168

Text #10

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Max Activating Token Index: 445

Text #11

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Max Activating Token Index: 131

Text #12

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Max Activating Token Index: 569

Text #13

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Max Activating Token Index: 53

Text #14

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Max Activating Token Index: 284

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 44

Text #18

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Max Activating Token Index: 481

Text #19

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Data Index: 866746 (C4 (Web Text))

Max Activating Token Index: 626