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

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

Neuron 2179 in Layer 0

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

Text #0

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Max Act: 0.0230. Min Act: -0.0002

Data Index: 1239210 (C4 (Web Text))

Max Activating Token Index: 31

Text #1

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Max Activating Token Index: 158

Text #2

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Data Index: 1078127 (C4 (Web Text))

Max Activating Token Index: 940

Text #3

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Max Act: 0.0203. Min Act: -0.0002

Data Index: 544298 (C4 (Web Text))

Max Activating Token Index: 23

Text #4

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Data Index: 619793 (C4 (Web Text))

Max Activating Token Index: 979

Text #5

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Max Activating Token Index: 202

Text #6

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Data Index: 270131 (C4 (Web Text))

Max Activating Token Index: 277

Text #7

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Max Activating Token Index: 285

Text #8

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Max Activating Token Index: 145

Text #9

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Text #10

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Max Activating Token Index: 486

Text #11

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Max Activating Token Index: 337

Text #12

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Max Activating Token Index: 967

Text #13

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Max Activating Token Index: 25

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 493

Text #18

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Max Activating Token Index: 133

Text #19

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Data Index: 131633 (C4 (Web Text))

Max Activating Token Index: 956