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

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

Neuron 3785 in Layer 1

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

Text #0

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Max Act: 0.0312. Min Act: -0.0002

Data Index: 16202 (C4 (Web Text))

Max Activating Token Index: 649

Text #1

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Max Act: 0.0326. Min Act: -0.0003

Data Index: 283832 (C4 (Web Text))

Max Activating Token Index: 514

Text #2

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Max Act: 0.0323. Min Act: -0.0002

Data Index: 748707 (C4 (Web Text))

Max Activating Token Index: 188

Text #3

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Max Act: 0.0299. Min Act: -0.0003

Data Index: 6812 (C4 (Web Text))

Max Activating Token Index: 895

Text #4

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Max Act: 0.0308. Min Act: -0.0002

Data Index: 4896 (C4 (Web Text))

Max Activating Token Index: 450

Text #5

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Max Act: 0.0278. Min Act: -0.0003

Data Index: 548357 (C4 (Web Text))

Max Activating Token Index: 808

Text #6

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Max Activating Token Index: 640

Text #7

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Max Activating Token Index: 848

Text #8

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Max Activating Token Index: 175

Text #9

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Max Activating Token Index: 916

Text #10

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Max Activating Token Index: 803

Text #11

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Max Activating Token Index: 731

Text #12

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Max Activating Token Index: 782

Text #13

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Data Index: 57741 (C4 (Web Text))

Max Activating Token Index: 91

Text #14

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Data Index: 367762 (C4 (Web Text))

Max Activating Token Index: 52

Text #15

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Max Activating Token Index: 978

Text #16

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Text #17

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Max Activating Token Index: 591

Text #18

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Max Activating Token Index: 54

Text #19

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Data Index: 1081149 (C4 (Web Text))

Max Activating Token Index: 535