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

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

Neuron 1445 in Layer 1

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

Text #0

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Max Act: 0.0832. Min Act: -0.0003

Data Index: 239036 (C4 (Web Text))

Max Activating Token Index: 29

Text #1

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Data Index: 352358 (C4 (Web Text))

Max Activating Token Index: 379

Text #2

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Max Act: 0.0831. Min Act: -0.0003

Data Index: 806768 (C4 (Web Text))

Max Activating Token Index: 206

Text #3

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Max Act: 0.0828. Min Act: -0.0003

Data Index: 99387 (C4 (Web Text))

Max Activating Token Index: 787

Text #4

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Max Act: 0.0851. Min Act: -0.0003

Data Index: 200764 (C4 (Web Text))

Max Activating Token Index: 56

Text #5

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Max Activating Token Index: 449

Text #6

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Max Activating Token Index: 771

Text #7

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Max Activating Token Index: 471

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Max Activating Token Index: 33

Text #9

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Max Activating Token Index: 504

Text #10

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Max Activating Token Index: 385

Text #11

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Max Activating Token Index: 21

Text #12

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Max Activating Token Index: 97

Text #13

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Data Index: 566767 (C4 (Web Text))

Max Activating Token Index: 447

Text #14

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Data Index: 30904 (C4 (Web Text))

Max Activating Token Index: 166

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 814

Text #18

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Max Activating Token Index: 447

Text #19

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Data Index: 1204353 (C4 (Web Text))

Max Activating Token Index: 534