Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1441 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0294. Min Act: -0.0006

Data Index: 365803 (C4 (Web Text))

Max Activating Token Index: 240

Text #1

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Max Act: 0.0275. Min Act: -0.0006

Data Index: 45462 (C4 (Web Text))

Max Activating Token Index: 57

Text #2

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Max Act: 0.0232. Min Act: -0.0006

Data Index: 903337 (C4 (Web Text))

Max Activating Token Index: 27

Text #3

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Max Act: 0.0238. Min Act: -0.0006

Data Index: 1243847 (C4 (Web Text))

Max Activating Token Index: 801

Text #4

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Data Index: 788944 (C4 (Web Text))

Max Activating Token Index: 476

Text #5

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Data Index: 1069625 (C4 (Web Text))

Max Activating Token Index: 478

Text #6

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Max Activating Token Index: 814

Text #7

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Max Activating Token Index: 815

Text #8

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Max Activating Token Index: 867

Text #9

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Max Activating Token Index: 597

Text #10

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Data Index: 523761 (C4 (Web Text))

Max Activating Token Index: 357

Text #11

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Max Activating Token Index: 681

Text #12

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Max Activating Token Index: 187

Text #13

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Max Activating Token Index: 883

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 576593 (C4 (Web Text))

Max Activating Token Index: 375

Text #19

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Data Index: 1376134 (Python Code)

Max Activating Token Index: 714