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

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

Neuron 4093 in Layer 2

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

Text #0

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Max Act: 0.0777. Min Act: -0.0002

Data Index: 73909 (C4 (Web Text))

Max Activating Token Index: 66

Text #1

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Max Act: 0.0817. Min Act: -0.0002

Data Index: 465050 (C4 (Web Text))

Max Activating Token Index: 509

Text #2

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Max Act: 0.0785. Min Act: -0.0002

Data Index: 939527 (C4 (Web Text))

Max Activating Token Index: 885

Text #3

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Max Act: 0.0774. Min Act: -0.0002

Data Index: 779922 (C4 (Web Text))

Max Activating Token Index: 72

Text #4

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Max Act: 0.0750. Min Act: -0.0002

Data Index: 784002 (C4 (Web Text))

Max Activating Token Index: 204

Text #5

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Max Act: 0.0719. Min Act: -0.0002

Data Index: 928599 (C4 (Web Text))

Max Activating Token Index: 404

Text #6

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Data Index: 412328 (C4 (Web Text))

Max Activating Token Index: 163

Text #7

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Data Index: 385555 (C4 (Web Text))

Max Activating Token Index: 357

Text #8

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Data Index: 1252485 (C4 (Web Text))

Max Activating Token Index: 886

Text #9

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Data Index: 784786 (C4 (Web Text))

Max Activating Token Index: 118

Text #10

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Data Index: 277079 (C4 (Web Text))

Max Activating Token Index: 188

Text #11

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Data Index: 78024 (C4 (Web Text))

Max Activating Token Index: 940

Text #12

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Data Index: 133884 (C4 (Web Text))

Max Activating Token Index: 415

Text #13

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Data Index: 691093 (C4 (Web Text))

Max Activating Token Index: 388

Text #14

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Data Index: 218519 (C4 (Web Text))

Max Activating Token Index: 279

Text #15

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Max Activating Token Index: 384

Text #16

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Text #17

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Data Index: 99342 (C4 (Web Text))

Max Activating Token Index: 820

Text #18

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Data Index: 103224 (C4 (Web Text))

Max Activating Token Index: 472

Text #19

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Data Index: 846007 (C4 (Web Text))

Max Activating Token Index: 395