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

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

Neuron 3918 in Layer 0

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

Text #0

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Max Act: 0.0145. Min Act: -0.0003

Data Index: 158452 (C4 (Web Text))

Max Activating Token Index: 192

Text #1

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Max Act: 0.0144. Min Act: -0.0003

Data Index: 247024 (C4 (Web Text))

Max Activating Token Index: 207

Text #2

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Max Act: 0.0138. Min Act: -0.0002

Data Index: 164999 (C4 (Web Text))

Max Activating Token Index: 66

Text #3

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Max Act: 0.0138. Min Act: -0.0003

Data Index: 29005 (C4 (Web Text))

Max Activating Token Index: 197

Text #4

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Max Act: 0.0141. Min Act: -0.0003

Data Index: 976292 (C4 (Web Text))

Max Activating Token Index: 785

Text #5

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Max Act: 0.0124. Min Act: -0.0003

Data Index: 942650 (C4 (Web Text))

Max Activating Token Index: 593

Text #6

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Max Act: 0.0120. Min Act: -0.0003

Data Index: 513876 (C4 (Web Text))

Max Activating Token Index: 544

Text #7

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Max Act: 0.0115. Min Act: -0.0003

Data Index: 1306421 (C4 (Web Text))

Max Activating Token Index: 537

Text #8

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Max Activating Token Index: 566

Text #9

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Data Index: 972356 (C4 (Web Text))

Max Activating Token Index: 623

Text #10

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Data Index: 316482 (C4 (Web Text))

Max Activating Token Index: 189

Text #11

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Data Index: 464310 (C4 (Web Text))

Max Activating Token Index: 145

Text #12

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Data Index: 35797 (C4 (Web Text))

Max Activating Token Index: 689

Text #13

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Data Index: 977544 (C4 (Web Text))

Max Activating Token Index: 631

Text #14

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Data Index: 1144850 (C4 (Web Text))

Max Activating Token Index: 195

Text #15

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Max Activating Token Index: 474

Text #16

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Max Activating Token Index: 575

Text #17

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Max Activating Token Index: 450

Text #18

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Max Act: 0.0108. Min Act: -0.0003

Data Index: 193677 (C4 (Web Text))

Max Activating Token Index: 75

Text #19

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Max Act: 0.0107. Min Act: -0.0003

Data Index: 1148534 (C4 (Web Text))

Max Activating Token Index: 33