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

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

Neuron 1648 in Layer 9

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

Text #0

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Max Act: 0.3807. Min Act: -0.0000

Data Index: 210353 (C4 (Web Text))

Max Activating Token Index: 211

Text #1

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Data Index: 837565 (C4 (Web Text))

Max Activating Token Index: 825

Text #2

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Max Act: 0.3210. Min Act: -0.0000

Data Index: 1258641 (C4 (Web Text))

Max Activating Token Index: 89

Text #3

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Max Act: 0.3026. Min Act: -0.0000

Data Index: 520880 (C4 (Web Text))

Max Activating Token Index: 924

Text #4

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Data Index: 1114754 (C4 (Web Text))

Max Activating Token Index: 640

Text #5

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Data Index: 625333 (C4 (Web Text))

Max Activating Token Index: 167

Text #6

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Max Activating Token Index: 967

Text #7

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Max Activating Token Index: 186

Text #8

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Data Index: 788065 (C4 (Web Text))

Max Activating Token Index: 395

Text #9

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Data Index: 410344 (C4 (Web Text))

Max Activating Token Index: 359

Text #10

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Max Activating Token Index: 740

Text #11

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Data Index: 1035264 (C4 (Web Text))

Max Activating Token Index: 262

Text #12

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Data Index: 860913 (C4 (Web Text))

Max Activating Token Index: 1006

Text #13

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Data Index: 569692 (C4 (Web Text))

Max Activating Token Index: 254

Text #14

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Data Index: 585018 (C4 (Web Text))

Max Activating Token Index: 511

Text #15

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Text #16

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Max Activating Token Index: 220

Text #17

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Data Index: 547946 (C4 (Web Text))

Max Activating Token Index: 780

Text #18

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Data Index: 768085 (C4 (Web Text))

Max Activating Token Index: 293

Text #19

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Data Index: 66631 (C4 (Web Text))

Max Activating Token Index: 166