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

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

Neuron 3852 in Layer 1

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

Text #0

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Max Act: 0.0534. Min Act: -0.0003

Data Index: 1111771 (C4 (Web Text))

Max Activating Token Index: 406

Text #1

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Data Index: 1053544 (C4 (Web Text))

Max Activating Token Index: 855

Text #2

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Max Act: 0.0487. Min Act: -0.0003

Data Index: 15951 (C4 (Web Text))

Max Activating Token Index: 602

Text #3

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Max Act: 0.0474. Min Act: -0.0003

Data Index: 279134 (C4 (Web Text))

Max Activating Token Index: 325

Text #4

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Data Index: 236530 (C4 (Web Text))

Max Activating Token Index: 72

Text #5

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Data Index: 236751 (C4 (Web Text))

Max Activating Token Index: 21

Text #6

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Text #7

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Max Activating Token Index: 653

Text #8

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Max Activating Token Index: 311

Text #9

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Max Activating Token Index: 232

Text #10

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Max Activating Token Index: 202

Text #11

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Max Activating Token Index: 534

Text #12

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Max Activating Token Index: 807

Text #13

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Max Activating Token Index: 187

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 302242 (C4 (Web Text))

Max Activating Token Index: 340

Text #19

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Data Index: 448532 (C4 (Web Text))

Max Activating Token Index: 387