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

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

Neuron 2520 in Layer 1

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

Text #0

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Max Act: 0.0149. Min Act: -0.0003

Data Index: 481636 (C4 (Web Text))

Max Activating Token Index: 185

Text #1

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Max Act: 0.0153. Min Act: -0.0003

Data Index: 1112409 (C4 (Web Text))

Max Activating Token Index: 941

Text #2

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Max Act: 0.0144. Min Act: -0.0003

Data Index: 1212159 (C4 (Web Text))

Max Activating Token Index: 397

Text #3

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Max Act: 0.0143. Min Act: -0.0003

Data Index: 319165 (C4 (Web Text))

Max Activating Token Index: 493

Text #4

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Max Act: 0.0136. Min Act: -0.0004

Data Index: 268596 (C4 (Web Text))

Max Activating Token Index: 133

Text #5

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Max Act: 0.0134. Min Act: -0.0003

Data Index: 177679 (C4 (Web Text))

Max Activating Token Index: 817

Text #6

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Data Index: 376444 (C4 (Web Text))

Max Activating Token Index: 998

Text #7

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Data Index: 717492 (C4 (Web Text))

Max Activating Token Index: 411

Text #8

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Max Activating Token Index: 128

Text #9

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Max Activating Token Index: 946

Text #10

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Data Index: 1171972 (C4 (Web Text))

Max Activating Token Index: 407

Text #11

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Max Activating Token Index: 136

Text #12

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Max Activating Token Index: 990

Text #13

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Data Index: 989538 (C4 (Web Text))

Max Activating Token Index: 213

Text #14

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Max Activating Token Index: 156

Text #15

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Max Activating Token Index: 493

Text #16

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Text #17

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Max Activating Token Index: 700

Text #18

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Data Index: 12783 (C4 (Web Text))

Max Activating Token Index: 838

Text #19

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Data Index: 1186279 (C4 (Web Text))

Max Activating Token Index: 297