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

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

Neuron 1093 in Layer 9

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

Text #0

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Max Act: 0.2117. Min Act: -0.0000

Data Index: 95916 (C4 (Web Text))

Max Activating Token Index: 957

Text #1

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Data Index: 876731 (C4 (Web Text))

Max Activating Token Index: 567

Text #2

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Data Index: 254001 (C4 (Web Text))

Max Activating Token Index: 930

Text #3

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Data Index: 49895 (C4 (Web Text))

Max Activating Token Index: 989

Text #4

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Max Act: 0.2100. Min Act: -0.0000

Data Index: 1332660 (C4 (Web Text))

Max Activating Token Index: 497

Text #5

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Data Index: 1408075 (Python Code)

Max Activating Token Index: 867

Text #6

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Data Index: 261810 (C4 (Web Text))

Max Activating Token Index: 173

Text #7

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Data Index: 55022 (C4 (Web Text))

Max Activating Token Index: 75

Text #8

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Data Index: 22559 (C4 (Web Text))

Max Activating Token Index: 366

Text #9

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Data Index: 1177389 (C4 (Web Text))

Max Activating Token Index: 675

Text #10

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Max Activating Token Index: 175

Text #11

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Max Activating Token Index: 296

Text #12

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Data Index: 995555 (C4 (Web Text))

Max Activating Token Index: 704

Text #13

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Data Index: 901618 (C4 (Web Text))

Max Activating Token Index: 230

Text #14

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Data Index: 550289 (C4 (Web Text))

Max Activating Token Index: 186

Text #15

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Text #16

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Max Activating Token Index: 431

Text #17

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Max Activating Token Index: 1007

Text #18

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Data Index: 867094 (C4 (Web Text))

Max Activating Token Index: 29

Text #19

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Data Index: 1126460 (C4 (Web Text))

Max Activating Token Index: 333