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

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

Neuron 974 in Layer 0

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

Text #0

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Max Act: 0.0512. Min Act: -0.0002

Data Index: 1033651 (C4 (Web Text))

Max Activating Token Index: 49

Text #1

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Max Act: 0.0471. Min Act: -0.0002

Data Index: 551808 (C4 (Web Text))

Max Activating Token Index: 486

Text #2

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Max Act: 0.0428. Min Act: -0.0002

Data Index: 502092 (C4 (Web Text))

Max Activating Token Index: 290

Text #3

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Max Act: 0.0427. Min Act: -0.0002

Data Index: 1188194 (C4 (Web Text))

Max Activating Token Index: 278

Text #4

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Max Act: 0.0422. Min Act: -0.0002

Data Index: 75642 (C4 (Web Text))

Max Activating Token Index: 503

Text #5

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Max Act: 0.0419. Min Act: -0.0002

Data Index: 1097767 (C4 (Web Text))

Max Activating Token Index: 310

Text #6

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Data Index: 352334 (C4 (Web Text))

Max Activating Token Index: 101

Text #7

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Max Activating Token Index: 272

Text #8

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Max Activating Token Index: 579

Text #9

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Max Activating Token Index: 60

Text #10

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Data Index: 403785 (C4 (Web Text))

Max Activating Token Index: 18

Text #11

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Max Activating Token Index: 290

Text #12

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Data Index: 58398 (C4 (Web Text))

Max Activating Token Index: 347

Text #13

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Data Index: 270687 (C4 (Web Text))

Max Activating Token Index: 262

Text #14

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Data Index: 444403 (C4 (Web Text))

Max Activating Token Index: 280

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 107

Text #18

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Max Activating Token Index: 141

Text #19

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Data Index: 265537 (C4 (Web Text))

Max Activating Token Index: 187