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

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

Neuron 2830 in Layer 1

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

Text #0

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Max Act: 0.0437. Min Act: -0.0003

Data Index: 681497 (C4 (Web Text))

Max Activating Token Index: 878

Text #1

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Data Index: 1142996 (C4 (Web Text))

Max Activating Token Index: 736

Text #2

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Max Act: 0.0400. Min Act: -0.0003

Data Index: 746133 (C4 (Web Text))

Max Activating Token Index: 719

Text #3

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Max Act: 0.0383. Min Act: -0.0002

Data Index: 1034566 (C4 (Web Text))

Max Activating Token Index: 525

Text #4

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Data Index: 568944 (C4 (Web Text))

Max Activating Token Index: 689

Text #5

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Max Activating Token Index: 588

Text #6

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Max Activating Token Index: 62

Text #7

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Max Activating Token Index: 735

Text #8

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Max Activating Token Index: 610

Text #9

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Max Activating Token Index: 837

Text #10

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Max Activating Token Index: 505

Text #11

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Max Activating Token Index: 729

Text #12

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Max Activating Token Index: 715

Text #13

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Max Activating Token Index: 55

Text #14

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Text #15

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Max Activating Token Index: 303

Text #16

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Text #17

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Text #18

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Max Activating Token Index: 759

Text #19

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Data Index: 967878 (C4 (Web Text))

Max Activating Token Index: 409