Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 228 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0350. Min Act: -0.0005

Data Index: 50665 (C4 (Web Text))

Max Activating Token Index: 71

Text #1

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Max Act: 0.0307. Min Act: -0.0005

Data Index: 1162019 (C4 (Web Text))

Max Activating Token Index: 479

Text #2

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Max Act: 0.0296. Min Act: -0.0005

Data Index: 208005 (C4 (Web Text))

Max Activating Token Index: 224

Text #3

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Max Act: 0.0294. Min Act: -0.0005

Data Index: 1231432 (C4 (Web Text))

Max Activating Token Index: 182

Text #4

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Max Act: 0.0295. Min Act: -0.0005

Data Index: 160898 (C4 (Web Text))

Max Activating Token Index: 858

Text #5

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Max Act: 0.0291. Min Act: -0.0005

Data Index: 1074542 (C4 (Web Text))

Max Activating Token Index: 301

Text #6

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Max Act: 0.0274. Min Act: -0.0005

Data Index: 474462 (C4 (Web Text))

Max Activating Token Index: 367

Text #7

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Data Index: 758761 (C4 (Web Text))

Max Activating Token Index: 667

Text #8

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Data Index: 311650 (C4 (Web Text))

Max Activating Token Index: 69

Text #9

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Data Index: 79924 (C4 (Web Text))

Max Activating Token Index: 13

Text #10

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Max Activating Token Index: 902

Text #11

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Data Index: 1146837 (C4 (Web Text))

Max Activating Token Index: 244

Text #12

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Data Index: 479426 (C4 (Web Text))

Max Activating Token Index: 887

Text #13

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Data Index: 1188893 (C4 (Web Text))

Max Activating Token Index: 1000

Text #14

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Data Index: 255935 (C4 (Web Text))

Max Activating Token Index: 783

Text #15

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Max Activating Token Index: 264

Text #16

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Max Activating Token Index: 542

Text #17

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Max Activating Token Index: 872

Text #18

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Max Activating Token Index: 914

Text #19

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Data Index: 971910 (C4 (Web Text))

Max Activating Token Index: 139