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

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

Neuron 4660 in Layer 9

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

Text #0

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Max Act: 1.0469. Min Act: -0.0000

Data Index: 1478349 (Python Code)

Max Activating Token Index: 354

Text #1

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Data Index: 1566701 (Python Code)

Max Activating Token Index: 620

Text #2

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Data Index: 1512554 (Python Code)

Max Activating Token Index: 817

Text #3

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Max Act: 0.8571. Min Act: -0.0000

Data Index: 1246687 (C4 (Web Text))

Max Activating Token Index: 756

Text #4

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Data Index: 652519 (C4 (Web Text))

Max Activating Token Index: 476

Text #5

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Data Index: 3272 (C4 (Web Text))

Max Activating Token Index: 793

Text #6

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Max Activating Token Index: 825

Text #7

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Max Activating Token Index: 666

Text #8

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Max Activating Token Index: 809

Text #9

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Data Index: 777264 (C4 (Web Text))

Max Activating Token Index: 234

Text #10

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Max Activating Token Index: 969

Text #11

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Data Index: 293023 (C4 (Web Text))

Max Activating Token Index: 865

Text #12

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Data Index: 276048 (C4 (Web Text))

Max Activating Token Index: 280

Text #13

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Data Index: 939485 (C4 (Web Text))

Max Activating Token Index: 638

Text #14

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Max Activating Token Index: 518

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 106

Text #18

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Data Index: 1206067 (C4 (Web Text))

Max Activating Token Index: 1008

Text #19

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Data Index: 534211 (C4 (Web Text))

Max Activating Token Index: 140