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

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

Neuron 2973 in Layer 8

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

Text #0

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Max Act: 1.2943. Min Act: -0.0000

Data Index: 580441 (C4 (Web Text))

Max Activating Token Index: 797

Text #1

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Data Index: 11522 (C4 (Web Text))

Max Activating Token Index: 537

Text #2

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Max Act: 1.3002. Min Act: -0.0000

Data Index: 220959 (C4 (Web Text))

Max Activating Token Index: 431

Text #3

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Max Act: 1.3238. Min Act: -0.0000

Data Index: 316180 (C4 (Web Text))

Max Activating Token Index: 164

Text #4

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Data Index: 815780 (C4 (Web Text))

Max Activating Token Index: 597

Text #5

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Data Index: 489003 (C4 (Web Text))

Max Activating Token Index: 906

Text #6

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Max Activating Token Index: 133

Text #7

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Data Index: 52852 (C4 (Web Text))

Max Activating Token Index: 918

Text #8

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Data Index: 194558 (C4 (Web Text))

Max Activating Token Index: 955

Text #9

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Data Index: 720681 (C4 (Web Text))

Max Activating Token Index: 872

Text #10

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Data Index: 47619 (C4 (Web Text))

Max Activating Token Index: 975

Text #11

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Data Index: 989115 (C4 (Web Text))

Max Activating Token Index: 353

Text #12

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Data Index: 607094 (C4 (Web Text))

Max Activating Token Index: 452

Text #13

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Data Index: 101954 (C4 (Web Text))

Max Activating Token Index: 814

Text #14

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Max Activating Token Index: 711

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 429

Text #18

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Data Index: 245738 (C4 (Web Text))

Max Activating Token Index: 779

Text #19

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Data Index: 1270236 (C4 (Web Text))

Max Activating Token Index: 44