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

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

Neuron 1538 in Layer 2

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

Text #0

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Max Act: 0.0251. Min Act: -0.0002

Data Index: 1500218 (Python Code)

Max Activating Token Index: 900

Text #1

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Max Act: 0.0255. Min Act: -0.0002

Data Index: 1303716 (C4 (Web Text))

Max Activating Token Index: 640

Text #2

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Max Act: 0.0246. Min Act: -0.0002

Data Index: 1471218 (Python Code)

Max Activating Token Index: 346

Text #3

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Max Act: 0.0232. Min Act: -0.0002

Data Index: 1406736 (Python Code)

Max Activating Token Index: 780

Text #4

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Max Act: 0.0226. Min Act: -0.0002

Data Index: 1110537 (C4 (Web Text))

Max Activating Token Index: 148

Text #5

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Max Act: 0.0228. Min Act: -0.0002

Data Index: 1479391 (Python Code)

Max Activating Token Index: 104

Text #6

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Data Index: 583509 (C4 (Web Text))

Max Activating Token Index: 703

Text #7

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Data Index: 1357290 (C4 (Web Text))

Max Activating Token Index: 457

Text #8

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Data Index: 1495263 (Python Code)

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Text #9

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Data Index: 1368355 (Python Code)

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Text #10

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Data Index: 593906 (C4 (Web Text))

Max Activating Token Index: 34

Text #11

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Max Activating Token Index: 151

Text #12

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Max Activating Token Index: 20

Text #13

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Data Index: 138251 (C4 (Web Text))

Max Activating Token Index: 516

Text #14

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Data Index: 11265 (C4 (Web Text))

Max Activating Token Index: 333

Text #15

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Data Index: 1553988 (Python Code)

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Text #16

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Text #17

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Max Activating Token Index: 595

Text #18

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Data Index: 1036939 (C4 (Web Text))

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Text #19

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Data Index: 656006 (C4 (Web Text))

Max Activating Token Index: 315