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

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

Neuron 3 in Layer 1

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

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Text #0

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Max Act: 0.1479. Min Act: -0.0002

Data Index: 1129116 (C4 (Web Text))

Max Activating Token Index: 784

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Truncated

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Text #1

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Max Act: 0.1477. Min Act: -0.0002

Data Index: 232545 (C4 (Web Text))

Max Activating Token Index: 829

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Truncated

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Text #2

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Max Act: 0.1445. Min Act: -0.0002

Data Index: 211234 (C4 (Web Text))

Max Activating Token Index: 509

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Truncated

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Text #3

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Max Act: 0.1431. Min Act: -0.0002

Data Index: 627880 (C4 (Web Text))

Max Activating Token Index: 575

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Truncated

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Text #4

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Max Act: 0.1459. Min Act: -0.0002

Data Index: 942663 (C4 (Web Text))

Max Activating Token Index: 858

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Truncated

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Text #5

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Max Act: 0.1434. Min Act: -0.0002

Data Index: 492742 (C4 (Web Text))

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Truncated

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Text #6

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Data Index: 180563 (C4 (Web Text))

Max Activating Token Index: 987

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Truncated

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Text #7

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Data Index: 1037020 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 269454 (C4 (Web Text))

Max Activating Token Index: 646

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Truncated

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Text #9

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Data Index: 735212 (C4 (Web Text))

Max Activating Token Index: 333

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Truncated

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Text #10

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Data Index: 972130 (C4 (Web Text))

Max Activating Token Index: 422

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Truncated

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Text #11

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Data Index: 2466 (C4 (Web Text))

Max Activating Token Index: 658

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Truncated

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Text #12

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Data Index: 283732 (C4 (Web Text))

Max Activating Token Index: 971

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Text #13

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Data Index: 347683 (C4 (Web Text))

Max Activating Token Index: 955

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Truncated

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Text #14

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Max Act: 0.1376. Min Act: -0.0002

Data Index: 494583 (C4 (Web Text))

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Text #15

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Data Index: 125070 (C4 (Web Text))

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Truncated

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Text #16

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Data Index: 1267130 (C4 (Web Text))

Max Activating Token Index: 926

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Truncated

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Text #17

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Data Index: 1055078 (C4 (Web Text))

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Text #18

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Data Index: 337616 (C4 (Web Text))

Max Activating Token Index: 231

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Truncated

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Text #19

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Data Index: 159356 (C4 (Web Text))

Max Activating Token Index: 590

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