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

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

Neuron 1482 in Layer 0

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

Text #0

Max Range: 0.0340. Min Range: -0.0340

Max Act: 0.0340. Min Act: -0.0002

Data Index: 940504 (C4 (Web Text))

Max Activating Token Index: 861

Text #1

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Max Act: 0.0326. Min Act: -0.0002

Data Index: 1060961 (C4 (Web Text))

Max Activating Token Index: 623

Text #2

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Max Act: 0.0331. Min Act: -0.0002

Data Index: 330 (C4 (Web Text))

Max Activating Token Index: 343

Text #3

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Max Act: 0.0330. Min Act: -0.0002

Data Index: 328352 (C4 (Web Text))

Max Activating Token Index: 875

Text #4

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Max Act: 0.0323. Min Act: -0.0002

Data Index: 172664 (C4 (Web Text))

Max Activating Token Index: 41

Text #5

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Data Index: 932335 (C4 (Web Text))

Max Activating Token Index: 660

Text #6

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Data Index: 840471 (C4 (Web Text))

Max Activating Token Index: 899

Text #7

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Data Index: 56981 (C4 (Web Text))

Max Activating Token Index: 565

Text #8

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Data Index: 633373 (C4 (Web Text))

Max Activating Token Index: 51

Text #9

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Data Index: 446631 (C4 (Web Text))

Max Activating Token Index: 24

Text #10

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Max Activating Token Index: 718

Text #11

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Data Index: 594181 (C4 (Web Text))

Max Activating Token Index: 136

Text #12

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Data Index: 66150 (C4 (Web Text))

Max Activating Token Index: 469

Text #13

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Data Index: 75872 (C4 (Web Text))

Max Activating Token Index: 132

Text #14

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Data Index: 749389 (C4 (Web Text))

Max Activating Token Index: 38

Text #15

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Max Activating Token Index: 55

Text #16

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Max Activating Token Index: 321

Text #17

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Max Activating Token Index: 639

Text #18

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Data Index: 81777 (C4 (Web Text))

Max Activating Token Index: 26

Text #19

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Max Act: 0.0318. Min Act: -0.0002

Data Index: 1255783 (C4 (Web Text))

Max Activating Token Index: 97