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

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

Neuron 442 in Layer 2

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



Text #0

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Max Act: 0.0325. Min Act: -0.0002

Data Index: 294715 (C4 (Web Text))

Max Activating Token Index: 431

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Text #1

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Max Act: 0.0327. Min Act: -0.0002

Data Index: 1544002 (Python Code)

Max Activating Token Index: 6

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Truncated

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Text #2

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Max Act: 0.0297. Min Act: -0.0002

Data Index: 306712 (C4 (Web Text))

Max Activating Token Index: 795

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Text #3

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Max Act: 0.0294. Min Act: -0.0002

Data Index: 15368 (C4 (Web Text))

Max Activating Token Index: 601

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Truncated

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Text #4

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Max Act: 0.0296. Min Act: -0.0002

Data Index: 415147 (C4 (Web Text))

Max Activating Token Index: 646

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Text #5

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Data Index: 780940 (C4 (Web Text))

Max Activating Token Index: 275

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Text #6

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Data Index: 1022683 (C4 (Web Text))

Max Activating Token Index: 266

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Text #7

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Data Index: 89408 (C4 (Web Text))

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Text #8

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Data Index: 1440251 (Python Code)

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Text #9

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Data Index: 1351487 (C4 (Web Text))

Max Activating Token Index: 623

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Text #10

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Data Index: 420970 (C4 (Web Text))

Max Activating Token Index: 628

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Text #11

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Data Index: 1322204 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 1218745 (C4 (Web Text))

Max Activating Token Index: 28

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Text #13

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Text #14

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Data Index: 49924 (C4 (Web Text))

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Text #15

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Data Index: 843338 (C4 (Web Text))

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Text #16

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Data Index: 285456 (C4 (Web Text))

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Text #17

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Data Index: 1487554 (Python Code)

Max Activating Token Index: 658

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Text #18

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Max Act: 0.0258. Min Act: -0.0002

Data Index: 622030 (C4 (Web Text))

Max Activating Token Index: 22

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Truncated

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Text #19

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Max Act: 0.0266. Min Act: -0.0002

Data Index: 212671 (C4 (Web Text))

Max Activating Token Index: 293

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