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

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

Neuron 1848 in Layer 3

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

Text #0

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Max Act: 0.0463. Min Act: -0.0001

Data Index: 1536615 (Python Code)

Max Activating Token Index: 14

Text #1

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Max Act: 0.0472. Min Act: -0.0001

Data Index: 10611 (C4 (Web Text))

Max Activating Token Index: 956

Text #2

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Max Act: 0.0424. Min Act: -0.0002

Data Index: 1192466 (C4 (Web Text))

Max Activating Token Index: 608

Text #3

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Max Act: 0.0404. Min Act: -0.0001

Data Index: 1561277 (Python Code)

Max Activating Token Index: 117

Text #4

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Max Act: 0.0394. Min Act: -0.0001

Data Index: 790375 (C4 (Web Text))

Max Activating Token Index: 783

Text #5

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Max Act: 0.0360. Min Act: -0.0001

Data Index: 1049898 (C4 (Web Text))

Max Activating Token Index: 1003

Text #6

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Max Activating Token Index: 354

Text #7

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Data Index: 1650652 (Python Code)

Max Activating Token Index: 440

Text #8

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Data Index: 1577602 (Python Code)

Max Activating Token Index: 404

Text #9

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Data Index: 990987 (C4 (Web Text))

Max Activating Token Index: 398

Text #10

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Max Activating Token Index: 505

Text #11

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Max Activating Token Index: 486

Text #12

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Data Index: 1362119 (Python Code)

Max Activating Token Index: 140

Text #13

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Data Index: 967141 (C4 (Web Text))

Max Activating Token Index: 479

Text #14

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Data Index: 1452968 (Python Code)

Max Activating Token Index: 975

Text #15

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Max Activating Token Index: 1017

Text #16

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Text #17

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Max Activating Token Index: 306

Text #18

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Max Activating Token Index: 13

Text #19

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Data Index: 362327 (C4 (Web Text))

Max Activating Token Index: 722