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

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

Neuron 1535 in Layer 2

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

Text #0

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Data Index: 1163231 (C4 (Web Text))

Max Activating Token Index: 612

Text #1

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Max Act: 0.0625. Min Act: -0.0002

Data Index: 43430 (C4 (Web Text))

Max Activating Token Index: 430

Text #2

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Max Act: 0.0579. Min Act: -0.0002

Data Index: 344190 (C4 (Web Text))

Max Activating Token Index: 234

Text #3

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Max Act: 0.0617. Min Act: -0.0002

Data Index: 981092 (C4 (Web Text))

Max Activating Token Index: 222

Text #4

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Max Act: 0.0570. Min Act: -0.0002

Data Index: 538064 (C4 (Web Text))

Max Activating Token Index: 354

Text #5

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Data Index: 1431946 (Python Code)

Max Activating Token Index: 232

Text #6

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Max Activating Token Index: 723

Text #7

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Max Activating Token Index: 68

Text #8

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Max Activating Token Index: 805

Text #9

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Max Activating Token Index: 967

Text #10

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Max Activating Token Index: 357

Text #11

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Max Activating Token Index: 910

Text #12

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Max Activating Token Index: 787

Text #13

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Max Activating Token Index: 364

Text #14

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Max Activating Token Index: 921

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 913

Text #18

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Max Activating Token Index: 254

Text #19

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Data Index: 431724 (C4 (Web Text))

Max Activating Token Index: 257