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

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

Neuron 1432 in Layer 2

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

Text #0

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Max Act: 0.0758. Min Act: -0.0002

Data Index: 592648 (C4 (Web Text))

Max Activating Token Index: 113

Text #1

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Max Act: 0.0696. Min Act: -0.0002

Data Index: 1028781 (C4 (Web Text))

Max Activating Token Index: 487

Text #2

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Max Act: 0.0744. Min Act: -0.0002

Data Index: 140933 (C4 (Web Text))

Max Activating Token Index: 198

Text #3

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Max Act: 0.0612. Min Act: -0.0002

Data Index: 88115 (C4 (Web Text))

Max Activating Token Index: 567

Text #4

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Max Act: 0.0678. Min Act: -0.0002

Data Index: 144754 (C4 (Web Text))

Max Activating Token Index: 168

Text #5

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Max Act: 0.0650. Min Act: -0.0002

Data Index: 1239512 (C4 (Web Text))

Max Activating Token Index: 478

Text #6

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Data Index: 217536 (C4 (Web Text))

Max Activating Token Index: 564

Text #7

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Max Activating Token Index: 200

Text #8

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Data Index: 21221 (C4 (Web Text))

Max Activating Token Index: 563

Text #9

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Data Index: 654515 (C4 (Web Text))

Max Activating Token Index: 470

Text #10

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Data Index: 504696 (C4 (Web Text))

Max Activating Token Index: 122

Text #11

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Data Index: 1208347 (C4 (Web Text))

Max Activating Token Index: 373

Text #12

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Data Index: 495264 (C4 (Web Text))

Max Activating Token Index: 986

Text #13

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Data Index: 197717 (C4 (Web Text))

Max Activating Token Index: 587

Text #14

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Data Index: 788814 (C4 (Web Text))

Max Activating Token Index: 82

Text #15

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Max Activating Token Index: 1015

Text #16

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Max Activating Token Index: 271

Text #17

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Max Activating Token Index: 902

Text #18

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Data Index: 915877 (C4 (Web Text))

Max Activating Token Index: 14

Text #19

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Max Act: 0.0585. Min Act: -0.0002

Data Index: 1048713 (C4 (Web Text))

Max Activating Token Index: 217