Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 4457 in Layer 9

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 1.2432. Min Range: -1.2432

Max Act: 1.2432. Min Act: -0.0000

Data Index: 1217347 (C4 (Web Text))

Max Activating Token Index: 345

Text #1

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Max Act: 1.0045. Min Act: -0.0000

Data Index: 96535 (C4 (Web Text))

Max Activating Token Index: 76

Text #2

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Max Act: 1.2061. Min Act: -0.0000

Data Index: 1130261 (C4 (Web Text))

Max Activating Token Index: 303

Text #3

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Max Act: 1.1541. Min Act: -0.0000

Data Index: 387395 (C4 (Web Text))

Max Activating Token Index: 562

Text #4

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Max Act: 1.0747. Min Act: -0.0000

Data Index: 470569 (C4 (Web Text))

Max Activating Token Index: 358

Text #5

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Data Index: 795120 (C4 (Web Text))

Max Activating Token Index: 617

Text #6

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Max Activating Token Index: 771

Text #7

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Data Index: 1006779 (C4 (Web Text))

Max Activating Token Index: 373

Text #8

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Data Index: 1104212 (C4 (Web Text))

Max Activating Token Index: 158

Text #9

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Data Index: 1268499 (C4 (Web Text))

Max Activating Token Index: 9

Text #10

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Data Index: 1221464 (C4 (Web Text))

Max Activating Token Index: 374

Text #11

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Data Index: 50466 (C4 (Web Text))

Max Activating Token Index: 49

Text #12

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Data Index: 1063200 (C4 (Web Text))

Max Activating Token Index: 15

Text #13

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Data Index: 1326363 (C4 (Web Text))

Max Activating Token Index: 19

Text #14

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Max Act: 0.8181. Min Act: -0.0000

Data Index: 1626889 (Python Code)

Max Activating Token Index: 750

Text #15

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Data Index: 1437186 (Python Code)

Max Activating Token Index: 611

Text #16

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Data Index: 1474687 (Python Code)

Max Activating Token Index: 623

Text #17

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Data Index: 1506684 (Python Code)

Max Activating Token Index: 448

Text #18

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Data Index: 326924 (C4 (Web Text))

Max Activating Token Index: 31

Text #19

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Max Act: 0.8179. Min Act: -0.0000

Data Index: 737439 (C4 (Web Text))

Max Activating Token Index: 36