Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1356 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0451. Min Act: -0.0003

Data Index: 682593 (C4 (Web Text))

Max Activating Token Index: 44

Text #1

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Max Act: 0.0425. Min Act: -0.0003

Data Index: 1014062 (C4 (Web Text))

Max Activating Token Index: 422

Text #2

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Max Act: 0.0410. Min Act: -0.0003

Data Index: 890875 (C4 (Web Text))

Max Activating Token Index: 450

Text #3

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Max Act: 0.0389. Min Act: -0.0003

Data Index: 844196 (C4 (Web Text))

Max Activating Token Index: 66

Text #4

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Max Act: 0.0402. Min Act: -0.0003

Data Index: 442708 (C4 (Web Text))

Max Activating Token Index: 50

Text #5

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Max Act: 0.0387. Min Act: -0.0003

Data Index: 114882 (C4 (Web Text))

Max Activating Token Index: 382

Text #6

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Max Act: 0.0378. Min Act: -0.0003

Data Index: 292979 (C4 (Web Text))

Max Activating Token Index: 30

Text #7

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Data Index: 650440 (C4 (Web Text))

Max Activating Token Index: 55

Text #8

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Data Index: 314513 (C4 (Web Text))

Max Activating Token Index: 434

Text #9

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Max Act: 0.0359. Min Act: -0.0003

Data Index: 47855 (C4 (Web Text))

Max Activating Token Index: 516

Text #10

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Data Index: 55467 (C4 (Web Text))

Max Activating Token Index: 95

Text #11

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Data Index: 775223 (C4 (Web Text))

Max Activating Token Index: 45

Text #12

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Max Activating Token Index: 28

Text #13

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Data Index: 356027 (C4 (Web Text))

Max Activating Token Index: 677

Text #14

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Data Index: 31514 (C4 (Web Text))

Max Activating Token Index: 1022

Text #15

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Max Activating Token Index: 986

Text #16

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Max Activating Token Index: 36

Text #17

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Data Index: 966975 (C4 (Web Text))

Max Activating Token Index: 33

Text #18

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Data Index: 355543 (C4 (Web Text))

Max Activating Token Index: 24

Text #19

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Max Act: 0.0342. Min Act: -0.0003

Data Index: 90876 (C4 (Web Text))

Max Activating Token Index: 309