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

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

Neuron 2812 in Layer 0

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

Text #0

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Max Act: 0.0183. Min Act: -0.0002

Data Index: 788643 (C4 (Web Text))

Max Activating Token Index: 5

Text #1

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Max Act: 0.0171. Min Act: -0.0002

Data Index: 937840 (C4 (Web Text))

Max Activating Token Index: 27

Text #2

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Max Act: 0.0169. Min Act: -0.0002

Data Index: 545629 (C4 (Web Text))

Max Activating Token Index: 275

Text #3

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Max Act: 0.0169. Min Act: -0.0002

Data Index: 470208 (C4 (Web Text))

Max Activating Token Index: 18

Text #4

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Max Act: 0.0168. Min Act: -0.0002

Data Index: 859389 (C4 (Web Text))

Max Activating Token Index: 544

Text #5

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Max Act: 0.0162. Min Act: -0.0002

Data Index: 677934 (C4 (Web Text))

Max Activating Token Index: 348

Text #6

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Data Index: 354077 (C4 (Web Text))

Max Activating Token Index: 362

Text #7

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Data Index: 166150 (C4 (Web Text))

Max Activating Token Index: 645

Text #8

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Data Index: 443703 (C4 (Web Text))

Max Activating Token Index: 633

Text #9

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Max Activating Token Index: 715

Text #10

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Max Activating Token Index: 38

Text #11

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Max Activating Token Index: 1020

Text #12

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Max Activating Token Index: 394

Text #13

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Data Index: 943091 (C4 (Web Text))

Max Activating Token Index: 340

Text #14

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Max Activating Token Index: 409

Text #15

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Text #16

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Max Activating Token Index: 430

Text #17

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Max Activating Token Index: 238

Text #18

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Data Index: 561453 (C4 (Web Text))

Max Activating Token Index: 275

Text #19

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Data Index: 1041030 (C4 (Web Text))

Max Activating Token Index: 1008