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

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

Neuron 4827 in Layer 1

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

Text #0

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Max Act: 0.0052. Min Act: -0.0003

Data Index: 1241905 (C4 (Web Text))

Max Activating Token Index: 594

Text #1

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Max Act: 0.0044. Min Act: -0.0003

Data Index: 863579 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0041. Min Act: -0.0003

Data Index: 908643 (C4 (Web Text))

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0042. Min Act: -0.0003

Data Index: 1334327 (C4 (Web Text))

Max Activating Token Index: 220

Text #4

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Max Act: 0.0042. Min Act: -0.0003

Data Index: 477289 (C4 (Web Text))

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0039. Min Act: -0.0003

Data Index: 43732 (C4 (Web Text))

Max Activating Token Index: 839

Text #6

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Text #7

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Max Activating Token Index: 1023

Text #8

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Max Activating Token Index: 600

Text #9

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Max Act: 0.0037. Min Act: -0.0003

Data Index: 410061 (C4 (Web Text))

Max Activating Token Index: 1023

Text #10

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Max Activating Token Index: 874

Text #11

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Text #12

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Text #13

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Max Activating Token Index: 1023

Text #14

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Max Activating Token Index: 745

Text #15

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Text #16

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Max Activating Token Index: 1023

Text #17

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Data Index: 1399778 (Python Code)

Max Activating Token Index: 813

Text #18

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Data Index: 664609 (C4 (Web Text))

Max Activating Token Index: 1023

Text #19

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Max Act: 0.0032. Min Act: -0.0003

Data Index: 278260 (C4 (Web Text))

Max Activating Token Index: 353