Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2060 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

Max Range: 0.4827. Min Range: -0.4827

Max Act: 0.4589. Min Act: -0.0001

Data Index: 507626 (C4 (Web Text))

Max Activating Token Index: 808

Text #1

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Max Act: 0.4827. Min Act: -0.0001

Data Index: 1608790 (Python Code)

Max Activating Token Index: 915

Text #2

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Max Act: 0.4347. Min Act: -0.0002

Data Index: 267708 (C4 (Web Text))

Max Activating Token Index: 406

Text #3

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Max Act: 0.4471. Min Act: -0.0001

Data Index: 78792 (C4 (Web Text))

Max Activating Token Index: 959

Text #4

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Data Index: 343221 (C4 (Web Text))

Max Activating Token Index: 968

Text #5

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Data Index: 379153 (C4 (Web Text))

Max Activating Token Index: 62

Text #6

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Max Activating Token Index: 51

Text #7

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Max Activating Token Index: 855

Text #8

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Max Activating Token Index: 22

Text #9

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Max Activating Token Index: 791

Text #10

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Max Activating Token Index: 124

Text #11

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Data Index: 447003 (C4 (Web Text))

Max Activating Token Index: 591

Text #12

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Max Activating Token Index: 865

Text #13

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Data Index: 90370 (C4 (Web Text))

Max Activating Token Index: 94

Text #14

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Text #15

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Data Index: 509190 (C4 (Web Text))

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Text #16

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Data Index: 559933 (C4 (Web Text))

Max Activating Token Index: 453

Text #17

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Max Activating Token Index: 809

Text #18

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Data Index: 234122 (C4 (Web Text))

Max Activating Token Index: 25

Text #19

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Data Index: 419825 (C4 (Web Text))

Max Activating Token Index: 991