Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1518 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.0693. Min Act: -0.0002

Data Index: 995489 (C4 (Web Text))

Max Activating Token Index: 95

Text #1

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Max Act: 0.0665. Min Act: -0.0002

Data Index: 1324893 (C4 (Web Text))

Max Activating Token Index: 587

Text #2

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Max Act: 0.0706. Min Act: -0.0002

Data Index: 43336 (C4 (Web Text))

Max Activating Token Index: 260

Text #3

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Max Act: 0.0652. Min Act: -0.0002

Data Index: 1164246 (C4 (Web Text))

Max Activating Token Index: 155

Text #4

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Max Act: 0.0616. Min Act: -0.0002

Data Index: 352172 (C4 (Web Text))

Max Activating Token Index: 179

Text #5

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Max Act: 0.0605. Min Act: -0.0002

Data Index: 518725 (C4 (Web Text))

Max Activating Token Index: 23

Text #6

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Data Index: 1053406 (C4 (Web Text))

Max Activating Token Index: 370

Text #7

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Data Index: 1266357 (C4 (Web Text))

Max Activating Token Index: 531

Text #8

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Data Index: 653655 (C4 (Web Text))

Max Activating Token Index: 354

Text #9

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Data Index: 327341 (C4 (Web Text))

Max Activating Token Index: 598

Text #10

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Data Index: 219474 (C4 (Web Text))

Max Activating Token Index: 244

Text #11

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Data Index: 787988 (C4 (Web Text))

Max Activating Token Index: 48

Text #12

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Max Activating Token Index: 687

Text #13

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Data Index: 1295676 (C4 (Web Text))

Max Activating Token Index: 243

Text #14

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Data Index: 601409 (C4 (Web Text))

Max Activating Token Index: 46

Text #15

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Max Activating Token Index: 164

Text #16

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Max Activating Token Index: 36

Text #17

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Max Activating Token Index: 666

Text #18

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Data Index: 869541 (C4 (Web Text))

Max Activating Token Index: 8

Text #19

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Max Act: 0.0542. Min Act: -0.0002

Data Index: 1254067 (C4 (Web Text))

Max Activating Token Index: 523