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

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

Neuron 1359 in Layer 1

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

Text #0

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Max Act: 0.0430. Min Act: -0.0003

Data Index: 769474 (C4 (Web Text))

Max Activating Token Index: 182

Text #1

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Max Act: 0.0400. Min Act: -0.0003

Data Index: 441075 (C4 (Web Text))

Max Activating Token Index: 13

Text #2

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Max Act: 0.0368. Min Act: -0.0003

Data Index: 1179591 (C4 (Web Text))

Max Activating Token Index: 22

Text #3

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Max Act: 0.0372. Min Act: -0.0003

Data Index: 729024 (C4 (Web Text))

Max Activating Token Index: 762

Text #4

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Max Act: 0.0367. Min Act: -0.0002

Data Index: 387526 (C4 (Web Text))

Max Activating Token Index: 648

Text #5

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Max Act: 0.0369. Min Act: -0.0003

Data Index: 1041990 (C4 (Web Text))

Max Activating Token Index: 768

Text #6

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Data Index: 19518 (C4 (Web Text))

Max Activating Token Index: 833

Text #7

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Data Index: 426015 (C4 (Web Text))

Max Activating Token Index: 957

Text #8

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Max Activating Token Index: 188

Text #9

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Max Activating Token Index: 26

Text #10

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Data Index: 265424 (C4 (Web Text))

Max Activating Token Index: 443

Text #11

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Max Activating Token Index: 85

Text #12

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Max Activating Token Index: 589

Text #13

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Data Index: 139422 (C4 (Web Text))

Max Activating Token Index: 786

Text #14

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Data Index: 1357425 (C4 (Web Text))

Max Activating Token Index: 222

Text #15

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Text #16

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Max Activating Token Index: 142

Text #17

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Max Activating Token Index: 867

Text #18

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Data Index: 194443 (C4 (Web Text))

Max Activating Token Index: 32

Text #19

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Data Index: 243365 (C4 (Web Text))

Max Activating Token Index: 641