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

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

Neuron 266 in Layer 0

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

Text #0

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Max Act: 0.0145. Min Act: -0.0002

Data Index: 184555 (C4 (Web Text))

Max Activating Token Index: 104

Text #1

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Data Index: 587668 (C4 (Web Text))

Max Activating Token Index: 978

Text #2

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Data Index: 1035690 (C4 (Web Text))

Max Activating Token Index: 518

Text #3

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Max Act: 0.0124. Min Act: -0.0002

Data Index: 1204088 (C4 (Web Text))

Max Activating Token Index: 617

Text #4

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Data Index: 324395 (C4 (Web Text))

Max Activating Token Index: 232

Text #5

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Max Act: 0.0123. Min Act: -0.0002

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Max Activating Token Index: 906

Text #6

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Max Activating Token Index: 873

Text #7

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Text #8

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Max Activating Token Index: 574

Text #9

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Max Activating Token Index: 244

Text #10

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Max Activating Token Index: 864

Text #11

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Text #12

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Text #13

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Data Index: 290993 (C4 (Web Text))

Max Activating Token Index: 472

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 470

Text #18

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Max Activating Token Index: 601

Text #19

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Data Index: 1049516 (C4 (Web Text))

Max Activating Token Index: 972