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

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

Neuron 4198 in Layer 1

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

Text #0

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Max Act: 0.0461. Min Act: -0.0003

Data Index: 637925 (C4 (Web Text))

Max Activating Token Index: 156

Text #1

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Max Act: 0.0421. Min Act: -0.0003

Data Index: 41886 (C4 (Web Text))

Max Activating Token Index: 264

Text #2

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Max Act: 0.0416. Min Act: -0.0003

Data Index: 312418 (C4 (Web Text))

Max Activating Token Index: 1001

Text #3

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Max Act: 0.0418. Min Act: -0.0003

Data Index: 258408 (C4 (Web Text))

Max Activating Token Index: 576

Text #4

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Max Act: 0.0405. Min Act: -0.0002

Data Index: 1148 (C4 (Web Text))

Max Activating Token Index: 438

Text #5

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Max Act: 0.0405. Min Act: -0.0003

Data Index: 323092 (C4 (Web Text))

Max Activating Token Index: 340

Text #6

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Max Activating Token Index: 843

Text #7

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Max Activating Token Index: 863

Text #8

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Data Index: 291995 (C4 (Web Text))

Max Activating Token Index: 199

Text #9

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Max Activating Token Index: 442

Text #10

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Max Activating Token Index: 319

Text #11

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Max Activating Token Index: 246

Text #12

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Max Activating Token Index: 89

Text #13

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Data Index: 7488 (C4 (Web Text))

Max Activating Token Index: 557

Text #14

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Data Index: 158124 (C4 (Web Text))

Max Activating Token Index: 183

Text #15

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Max Activating Token Index: 414

Text #16

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Max Activating Token Index: 264

Text #17

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Max Activating Token Index: 228

Text #18

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Max Activating Token Index: 348

Text #19

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Data Index: 690383 (C4 (Web Text))

Max Activating Token Index: 886