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

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

Neuron 3741 in Layer 9

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

Text #0

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Max Act: 1.1665. Min Act: -0.0000

Data Index: 1344512 (C4 (Web Text))

Max Activating Token Index: 1008

Text #1

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Data Index: 852040 (C4 (Web Text))

Max Activating Token Index: 322

Text #2

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Max Act: 0.9945. Min Act: -0.0000

Data Index: 193276 (C4 (Web Text))

Max Activating Token Index: 450

Text #3

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Max Act: 0.9954. Min Act: -0.0000

Data Index: 78029 (C4 (Web Text))

Max Activating Token Index: 343

Text #4

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Data Index: 1542828 (Python Code)

Max Activating Token Index: 853

Text #5

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Data Index: 170180 (C4 (Web Text))

Max Activating Token Index: 674

Text #6

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Max Activating Token Index: 579

Text #7

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Max Activating Token Index: 807

Text #8

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Max Activating Token Index: 949

Text #9

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Max Activating Token Index: 511

Text #10

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Data Index: 492039 (C4 (Web Text))

Max Activating Token Index: 560

Text #11

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Data Index: 312721 (C4 (Web Text))

Max Activating Token Index: 765

Text #12

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Data Index: 377924 (C4 (Web Text))

Max Activating Token Index: 381

Text #13

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Data Index: 284122 (C4 (Web Text))

Max Activating Token Index: 182

Text #14

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Data Index: 13644 (C4 (Web Text))

Max Activating Token Index: 682

Text #15

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Data Index: 413347 (C4 (Web Text))

Max Activating Token Index: 810

Text #16

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Max Activating Token Index: 354

Text #17

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Max Activating Token Index: 663

Text #18

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Data Index: 1257083 (C4 (Web Text))

Max Activating Token Index: 911

Text #19

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Data Index: 43871 (C4 (Web Text))

Max Activating Token Index: 544