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

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

Neuron 1166 in Layer 2

Load this data into an Interactive Neuroscope

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

Text #0

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Max Act: 0.0302. Min Act: -0.0002

Data Index: 1332546 (C4 (Web Text))

Max Activating Token Index: 614

Text #1

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Data Index: 879437 (C4 (Web Text))

Max Activating Token Index: 871

Text #2

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Data Index: 751154 (C4 (Web Text))

Max Activating Token Index: 226

Text #3

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Max Act: 0.0247. Min Act: -0.0002

Data Index: 828014 (C4 (Web Text))

Max Activating Token Index: 411

Text #4

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Data Index: 1196343 (C4 (Web Text))

Max Activating Token Index: 177

Text #5

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Data Index: 272063 (C4 (Web Text))

Max Activating Token Index: 690

Text #6

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Data Index: 479392 (C4 (Web Text))

Max Activating Token Index: 983

Text #7

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Data Index: 537879 (C4 (Web Text))

Max Activating Token Index: 539

Text #8

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Max Activating Token Index: 35

Text #9

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Max Activating Token Index: 186

Text #10

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Max Activating Token Index: 752

Text #11

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Data Index: 67704 (C4 (Web Text))

Max Activating Token Index: 459

Text #12

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Data Index: 425715 (C4 (Web Text))

Max Activating Token Index: 255

Text #13

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Data Index: 1056561 (C4 (Web Text))

Max Activating Token Index: 367

Text #14

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Data Index: 863754 (C4 (Web Text))

Max Activating Token Index: 108

Text #15

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Max Activating Token Index: 1010

Text #16

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Max Activating Token Index: 351

Text #17

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Max Activating Token Index: 659

Text #18

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Data Index: 1272031 (C4 (Web Text))

Max Activating Token Index: 376

Text #19

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Data Index: 625162 (C4 (Web Text))

Max Activating Token Index: 352