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

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

Neuron 4797 in Layer 0

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

Text #0

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Max Act: 0.0128. Min Act: -0.0002

Data Index: 1257316 (C4 (Web Text))

Max Activating Token Index: 12

Text #1

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Max Act: 0.0125. Min Act: -0.0002

Data Index: 991557 (C4 (Web Text))

Max Activating Token Index: 129

Text #2

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Max Act: 0.0123. Min Act: -0.0002

Data Index: 1305907 (C4 (Web Text))

Max Activating Token Index: 618

Text #3

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Max Act: 0.0121. Min Act: -0.0002

Data Index: 339670 (C4 (Web Text))

Max Activating Token Index: 593

Text #4

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Max Act: 0.0119. Min Act: -0.0002

Data Index: 389651 (C4 (Web Text))

Max Activating Token Index: 735

Text #5

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Data Index: 623743 (C4 (Web Text))

Max Activating Token Index: 823

Text #6

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Data Index: 391590 (C4 (Web Text))

Max Activating Token Index: 660

Text #7

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Max Activating Token Index: 18

Text #8

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Max Activating Token Index: 634

Text #9

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Max Activating Token Index: 612

Text #10

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Data Index: 506705 (C4 (Web Text))

Max Activating Token Index: 61

Text #11

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Data Index: 313530 (C4 (Web Text))

Max Activating Token Index: 438

Text #12

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Max Activating Token Index: 218

Text #13

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Max Activating Token Index: 964

Text #14

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Max Activating Token Index: 664

Text #15

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Max Activating Token Index: 98

Text #16

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Max Activating Token Index: 12

Text #17

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Max Activating Token Index: 6

Text #18

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Max Activating Token Index: 33

Text #19

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Data Index: 1294906 (C4 (Web Text))

Max Activating Token Index: 147