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

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

Neuron 4401 in Layer 3

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



Text #0

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Max Act: 0.0966. Min Act: -0.0001

Data Index: 951781 (C4 (Web Text))

Max Activating Token Index: 91

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Text #1

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Max Act: 0.0769. Min Act: -0.0001

Data Index: 1354580 (C4 (Web Text))

Max Activating Token Index: 416

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Text #2

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Max Act: 0.0677. Min Act: -0.0001

Data Index: 1452017 (Python Code)

Max Activating Token Index: 261

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Text #3

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Max Act: 0.0704. Min Act: -0.0001

Data Index: 1435834 (Python Code)

Max Activating Token Index: 628

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Truncated

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Text #4

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Data Index: 1355455 (C4 (Web Text))

Max Activating Token Index: 75

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Truncated

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Text #5

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Data Index: 281417 (C4 (Web Text))

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Text #6

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Data Index: 1191699 (C4 (Web Text))

Max Activating Token Index: 577

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Text #7

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Data Index: 622830 (C4 (Web Text))

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Text #8

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Data Index: 847929 (C4 (Web Text))

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Text #9

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Data Index: 408896 (C4 (Web Text))

Max Activating Token Index: 454

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Text #10

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Data Index: 201988 (C4 (Web Text))

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Text #11

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Data Index: 859161 (C4 (Web Text))

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Text #12

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Data Index: 930682 (C4 (Web Text))

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Text #13

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Truncated

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Text #14

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Data Index: 639733 (C4 (Web Text))

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Text #15

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Data Index: 1327454 (C4 (Web Text))

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Text #16

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Data Index: 960938 (C4 (Web Text))

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Text #17

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Data Index: 1474357 (Python Code)

Max Activating Token Index: 59

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Text #18

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Data Index: 1003772 (C4 (Web Text))

Max Activating Token Index: 656

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Truncated

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Text #19

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Data Index: 640210 (C4 (Web Text))

Max Activating Token Index: 208

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