Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2794 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0123. Min Act: -0.0004

Data Index: 244868 (C4 (Web Text))

Max Activating Token Index: 115

Text #1

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Max Act: 0.0124. Min Act: -0.0003

Data Index: 207611 (C4 (Web Text))

Max Activating Token Index: 574

Text #2

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Max Act: 0.0121. Min Act: -0.0003

Data Index: 728117 (C4 (Web Text))

Max Activating Token Index: 244

Text #3

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Max Act: 0.0118. Min Act: -0.0003

Data Index: 41744 (C4 (Web Text))

Max Activating Token Index: 955

Text #4

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Max Act: 0.0116. Min Act: -0.0003

Data Index: 802774 (C4 (Web Text))

Max Activating Token Index: 982

Text #5

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Data Index: 1156451 (C4 (Web Text))

Max Activating Token Index: 241

Text #6

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Data Index: 222539 (C4 (Web Text))

Max Activating Token Index: 426

Text #7

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Max Activating Token Index: 912

Text #8

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Max Activating Token Index: 497

Text #9

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Data Index: 398673 (C4 (Web Text))

Max Activating Token Index: 467

Text #10

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Max Activating Token Index: 944

Text #11

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Data Index: 132764 (C4 (Web Text))

Max Activating Token Index: 620

Text #12

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Max Activating Token Index: 776

Text #13

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Data Index: 539871 (C4 (Web Text))

Max Activating Token Index: 726

Text #14

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Max Activating Token Index: 400

Text #15

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Max Activating Token Index: 192

Text #16

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Max Activating Token Index: 25

Text #17

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Max Activating Token Index: 397

Text #18

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Data Index: 753985 (C4 (Web Text))

Max Activating Token Index: 329

Text #19

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Data Index: 1260110 (C4 (Web Text))

Max Activating Token Index: 955