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

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

Neuron 2629 in Layer 1

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

Text #0

Max Range: 0.0829. Min Range: -0.0829

Max Act: 0.0829. Min Act: -0.0002

Data Index: 977929 (C4 (Web Text))

Max Activating Token Index: 991

Text #1

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Max Act: 0.0802. Min Act: -0.0002

Data Index: 956930 (C4 (Web Text))

Max Activating Token Index: 333

Text #2

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Max Act: 0.0760. Min Act: -0.0002

Data Index: 116935 (C4 (Web Text))

Max Activating Token Index: 45

Text #3

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Max Act: 0.0769. Min Act: -0.0002

Data Index: 453442 (C4 (Web Text))

Max Activating Token Index: 244

Text #4

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Max Act: 0.0778. Min Act: -0.0002

Data Index: 171876 (C4 (Web Text))

Max Activating Token Index: 469

Text #5

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Max Act: 0.0787. Min Act: -0.0002

Data Index: 1158175 (C4 (Web Text))

Max Activating Token Index: 288

Text #6

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Data Index: 669005 (C4 (Web Text))

Max Activating Token Index: 570

Text #7

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Data Index: 877930 (C4 (Web Text))

Max Activating Token Index: 267

Text #8

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Max Activating Token Index: 473

Text #9

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Data Index: 1320056 (C4 (Web Text))

Max Activating Token Index: 207

Text #10

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Data Index: 539389 (C4 (Web Text))

Max Activating Token Index: 260

Text #11

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Data Index: 527199 (C4 (Web Text))

Max Activating Token Index: 288

Text #12

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Data Index: 540698 (C4 (Web Text))

Max Activating Token Index: 255

Text #13

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Data Index: 324663 (C4 (Web Text))

Max Activating Token Index: 11

Text #14

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Data Index: 1198168 (C4 (Web Text))

Max Activating Token Index: 279

Text #15

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Max Activating Token Index: 625

Text #16

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Max Activating Token Index: 244

Text #17

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Max Activating Token Index: 307

Text #18

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Max Activating Token Index: 78

Text #19

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Data Index: 768384 (C4 (Web Text))

Max Activating Token Index: 93