Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1868 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0406. Min Act: -0.0002

Data Index: 1215354 (C4 (Web Text))

Max Activating Token Index: 83

Text #1

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Max Act: 0.0332. Min Act: -0.0002

Data Index: 194995 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0350. Min Act: -0.0001

Data Index: 135865 (C4 (Web Text))

Max Activating Token Index: 599

Text #3

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Max Act: 0.0334. Min Act: -0.0001

Data Index: 586542 (C4 (Web Text))

Max Activating Token Index: 663

Text #4

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Data Index: 1407989 (Python Code)

Max Activating Token Index: 490

Text #5

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Max Act: 0.0266. Min Act: -0.0002

Data Index: 63424 (C4 (Web Text))

Max Activating Token Index: 517

Text #6

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Max Activating Token Index: 603

Text #7

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Max Activating Token Index: 321

Text #8

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Data Index: 586888 (C4 (Web Text))

Max Activating Token Index: 773

Text #9

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Max Activating Token Index: 467

Text #10

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Max Activating Token Index: 716

Text #11

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Data Index: 330397 (C4 (Web Text))

Max Activating Token Index: 492

Text #12

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Data Index: 1253904 (C4 (Web Text))

Max Activating Token Index: 174

Text #13

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Data Index: 171846 (C4 (Web Text))

Max Activating Token Index: 604

Text #14

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Data Index: 211161 (C4 (Web Text))

Max Activating Token Index: 395

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 770

Text #18

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Data Index: 192224 (C4 (Web Text))

Max Activating Token Index: 541

Text #19

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Data Index: 1559357 (Python Code)

Max Activating Token Index: 922