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

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

Neuron 4401 in Layer 2

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

Text #0

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Max Act: 0.0463. Min Act: -0.0003

Data Index: 1013374 (C4 (Web Text))

Max Activating Token Index: 311

Text #1

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Max Act: 0.0468. Min Act: -0.0003

Data Index: 47788 (C4 (Web Text))

Max Activating Token Index: 246

Text #2

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Max Act: 0.0452. Min Act: -0.0003

Data Index: 992068 (C4 (Web Text))

Max Activating Token Index: 513

Text #3

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Max Act: 0.0452. Min Act: -0.0003

Data Index: 462055 (C4 (Web Text))

Max Activating Token Index: 930

Text #4

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Max Act: 0.0418. Min Act: -0.0003

Data Index: 733507 (C4 (Web Text))

Max Activating Token Index: 254

Text #5

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Max Act: 0.0428. Min Act: -0.0003

Data Index: 43575 (C4 (Web Text))

Max Activating Token Index: 577

Text #6

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Max Act: 0.0425. Min Act: -0.0003

Data Index: 194207 (C4 (Web Text))

Max Activating Token Index: 452

Text #7

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Data Index: 673632 (C4 (Web Text))

Max Activating Token Index: 431

Text #8

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Data Index: 719678 (C4 (Web Text))

Max Activating Token Index: 381

Text #9

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Max Act: 0.0409. Min Act: -0.0003

Data Index: 395170 (C4 (Web Text))

Max Activating Token Index: 183

Text #10

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Max Activating Token Index: 824

Text #11

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Max Activating Token Index: 173

Text #12

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Data Index: 473223 (C4 (Web Text))

Max Activating Token Index: 96

Text #13

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Data Index: 239989 (C4 (Web Text))

Max Activating Token Index: 450

Text #14

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Data Index: 15345 (C4 (Web Text))

Max Activating Token Index: 512

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 135

Text #18

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Data Index: 1026552 (C4 (Web Text))

Max Activating Token Index: 237

Text #19

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Max Act: 0.0395. Min Act: -0.0003

Data Index: 684492 (C4 (Web Text))

Max Activating Token Index: 314