Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 93 in Layer 11

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Data Index: 963602 (C4 (Web Text))

Max Activating Token Index: 472

Text #1

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Max Act: 1.1709. Min Act: -0.0000

Data Index: 1335229 (C4 (Web Text))

Max Activating Token Index: 695

Text #2

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Max Act: 0.9219. Min Act: -0.0000

Data Index: 715890 (C4 (Web Text))

Max Activating Token Index: 329

Text #3

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Max Act: 0.8966. Min Act: -0.0000

Data Index: 118720 (C4 (Web Text))

Max Activating Token Index: 630

Text #4

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Max Act: 0.8333. Min Act: -0.0000

Data Index: 665441 (C4 (Web Text))

Max Activating Token Index: 270

Text #5

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Data Index: 1554918 (Python Code)

Max Activating Token Index: 681

Text #6

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Data Index: 665235 (C4 (Web Text))

Max Activating Token Index: 61

Text #7

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Data Index: 447245 (C4 (Web Text))

Max Activating Token Index: 1019

Text #8

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Data Index: 444533 (C4 (Web Text))

Max Activating Token Index: 420

Text #9

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Data Index: 524085 (C4 (Web Text))

Max Activating Token Index: 631

Text #10

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Data Index: 122018 (C4 (Web Text))

Max Activating Token Index: 36

Text #11

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Data Index: 404641 (C4 (Web Text))

Max Activating Token Index: 577

Text #12

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Data Index: 526775 (C4 (Web Text))

Max Activating Token Index: 339

Text #13

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Data Index: 553580 (C4 (Web Text))

Max Activating Token Index: 683

Text #14

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Data Index: 703048 (C4 (Web Text))

Max Activating Token Index: 395

Text #15

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Text #16

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Max Activating Token Index: 339

Text #17

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Data Index: 1036986 (C4 (Web Text))

Max Activating Token Index: 566

Text #18

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Data Index: 1402367 (Python Code)

Max Activating Token Index: 317

Text #19

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Max Act: 0.5965. Min Act: -0.0000

Data Index: 1543787 (Python Code)

Max Activating Token Index: 568