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

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

Neuron 3988 in Layer 8

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

Text #0

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Max Act: 0.2100. Min Act: -0.0000

Data Index: 445173 (C4 (Web Text))

Max Activating Token Index: 977

Text #1

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Data Index: 268810 (C4 (Web Text))

Max Activating Token Index: 724

Text #2

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Max Act: 0.1963. Min Act: -0.0000

Data Index: 229483 (C4 (Web Text))

Max Activating Token Index: 255

Text #3

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Max Act: 0.2144. Min Act: -0.0000

Data Index: 1137166 (C4 (Web Text))

Max Activating Token Index: 131

Text #4

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Max Act: 0.1886. Min Act: -0.0000

Data Index: 330263 (C4 (Web Text))

Max Activating Token Index: 902

Text #5

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Data Index: 337448 (C4 (Web Text))

Max Activating Token Index: 678

Text #6

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Data Index: 505038 (C4 (Web Text))

Max Activating Token Index: 147

Text #7

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Max Activating Token Index: 926

Text #8

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Max Activating Token Index: 929

Text #9

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Data Index: 441050 (C4 (Web Text))

Max Activating Token Index: 553

Text #10

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Text #11

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Data Index: 190197 (C4 (Web Text))

Max Activating Token Index: 847

Text #12

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Data Index: 958410 (C4 (Web Text))

Max Activating Token Index: 577

Text #13

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Data Index: 723248 (C4 (Web Text))

Max Activating Token Index: 417

Text #14

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Data Index: 1290252 (C4 (Web Text))

Max Activating Token Index: 332

Text #15

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Max Activating Token Index: 495

Text #16

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Max Activating Token Index: 484

Text #17

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Text #18

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Data Index: 520110 (C4 (Web Text))

Max Activating Token Index: 464

Text #19

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Data Index: 396250 (C4 (Web Text))

Max Activating Token Index: 802