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

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

Neuron 2793 in Layer 0

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

Text #0

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Max Act: 0.0132. Min Act: -0.0002

Data Index: 357406 (C4 (Web Text))

Max Activating Token Index: 64

Text #1

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Max Activating Token Index: 622

Text #2

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Max Act: 0.0115. Min Act: -0.0002

Data Index: 1341473 (C4 (Web Text))

Max Activating Token Index: 515

Text #3

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Data Index: 547971 (C4 (Web Text))

Max Activating Token Index: 592

Text #4

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Data Index: 1175715 (C4 (Web Text))

Max Activating Token Index: 182

Text #5

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Max Activating Token Index: 466

Text #6

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Max Activating Token Index: 84

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 196

Text #10

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Max Activating Token Index: 172

Text #11

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Max Activating Token Index: 617

Text #12

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Max Activating Token Index: 893

Text #13

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Data Index: 310338 (C4 (Web Text))

Max Activating Token Index: 596

Text #14

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Max Activating Token Index: 617

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 35

Text #18

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Max Activating Token Index: 4

Text #19

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Data Index: 542276 (C4 (Web Text))

Max Activating Token Index: 315