Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1866 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0337. Min Act: -0.0006

Data Index: 96300 (C4 (Web Text))

Max Activating Token Index: 61

Text #1

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Max Act: 0.0299. Min Act: -0.0006

Data Index: 478813 (C4 (Web Text))

Max Activating Token Index: 7

Text #2

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Max Act: 0.0296. Min Act: -0.0006

Data Index: 759053 (C4 (Web Text))

Max Activating Token Index: 7

Text #3

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Max Act: 0.0303. Min Act: -0.0006

Data Index: 1355071 (C4 (Web Text))

Max Activating Token Index: 6

Text #4

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Max Act: 0.0287. Min Act: -0.0006

Data Index: 504165 (C4 (Web Text))

Max Activating Token Index: 529

Text #5

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Max Activating Token Index: 945

Text #6

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Max Activating Token Index: 184

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 251

Text #10

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Max Activating Token Index: 437

Text #11

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Max Activating Token Index: 987

Text #12

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Max Activating Token Index: 391

Text #13

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Data Index: 92438 (C4 (Web Text))

Max Activating Token Index: 668

Text #14

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Data Index: 382209 (C4 (Web Text))

Max Activating Token Index: 1009

Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 353998 (C4 (Web Text))

Max Activating Token Index: 304