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

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

Neuron 759 in Layer 0

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

Text #0

Max Range: 0.0310. Min Range: -0.0310

Max Act: 0.0310. Min Act: -0.0002

Data Index: 711352 (C4 (Web Text))

Max Activating Token Index: 906

Text #1

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Data Index: 468927 (C4 (Web Text))

Max Activating Token Index: 271

Text #2

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Max Act: 0.0283. Min Act: -0.0002

Data Index: 114886 (C4 (Web Text))

Max Activating Token Index: 480

Text #3

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Max Act: 0.0274. Min Act: -0.0002

Data Index: 22041 (C4 (Web Text))

Max Activating Token Index: 465

Text #4

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Max Act: 0.0271. Min Act: -0.0002

Data Index: 205142 (C4 (Web Text))

Max Activating Token Index: 540

Text #5

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Max Act: 0.0267. Min Act: -0.0002

Data Index: 674483 (C4 (Web Text))

Max Activating Token Index: 175

Text #6

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Data Index: 999392 (C4 (Web Text))

Max Activating Token Index: 707

Text #7

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Max Activating Token Index: 404

Text #8

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Data Index: 881398 (C4 (Web Text))

Max Activating Token Index: 551

Text #9

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Data Index: 226029 (C4 (Web Text))

Max Activating Token Index: 768

Text #10

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Data Index: 1251210 (C4 (Web Text))

Max Activating Token Index: 38

Text #11

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Data Index: 101190 (C4 (Web Text))

Max Activating Token Index: 899

Text #12

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Data Index: 3729 (C4 (Web Text))

Max Activating Token Index: 910

Text #13

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Data Index: 219927 (C4 (Web Text))

Max Activating Token Index: 749

Text #14

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Data Index: 306740 (C4 (Web Text))

Max Activating Token Index: 5

Text #15

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Max Activating Token Index: 9

Text #16

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Max Activating Token Index: 10

Text #17

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Max Activating Token Index: 730

Text #18

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Data Index: 20767 (C4 (Web Text))

Max Activating Token Index: 20

Text #19

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Data Index: 895710 (C4 (Web Text))

Max Activating Token Index: 199