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

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

Neuron 263 in Layer 1

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

Text #0

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Max Act: 0.0316. Min Act: -0.0006

Data Index: 1323966 (C4 (Web Text))

Max Activating Token Index: 800

Text #1

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Max Act: 0.0296. Min Act: -0.0006

Data Index: 688919 (C4 (Web Text))

Max Activating Token Index: 863

Text #2

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Max Act: 0.0282. Min Act: -0.0005

Data Index: 349545 (C4 (Web Text))

Max Activating Token Index: 647

Text #3

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Max Act: 0.0289. Min Act: -0.0005

Data Index: 60054 (C4 (Web Text))

Max Activating Token Index: 572

Text #4

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Max Act: 0.0292. Min Act: -0.0006

Data Index: 898487 (C4 (Web Text))

Max Activating Token Index: 667

Text #5

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Data Index: 1272642 (C4 (Web Text))

Max Activating Token Index: 476

Text #6

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Data Index: 1242371 (C4 (Web Text))

Max Activating Token Index: 263

Text #7

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Data Index: 110253 (C4 (Web Text))

Max Activating Token Index: 832

Text #8

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Data Index: 1266605 (C4 (Web Text))

Max Activating Token Index: 550

Text #9

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Data Index: 1038994 (C4 (Web Text))

Max Activating Token Index: 580

Text #10

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Max Activating Token Index: 920

Text #11

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Max Activating Token Index: 915

Text #12

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Max Activating Token Index: 94

Text #13

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Data Index: 249045 (C4 (Web Text))

Max Activating Token Index: 896

Text #14

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Max Activating Token Index: 1009

Text #15

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Text #16

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Max Activating Token Index: 820

Text #17

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Max Activating Token Index: 800

Text #18

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Max Activating Token Index: 56

Text #19

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Data Index: 1287514 (C4 (Web Text))

Max Activating Token Index: 926