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

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

Neuron 737 in Layer 0

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

Text #0

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Max Act: 0.0309. Min Act: -0.0002

Data Index: 455041 (C4 (Web Text))

Max Activating Token Index: 350

Text #1

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Max Act: 0.0298. Min Act: -0.0002

Data Index: 819385 (C4 (Web Text))

Max Activating Token Index: 155

Text #2

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Max Act: 0.0286. Min Act: -0.0002

Data Index: 625412 (C4 (Web Text))

Max Activating Token Index: 340

Text #3

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Max Act: 0.0289. Min Act: -0.0002

Data Index: 947091 (C4 (Web Text))

Max Activating Token Index: 194

Text #4

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Max Act: 0.0288. Min Act: -0.0002

Data Index: 441073 (C4 (Web Text))

Max Activating Token Index: 819

Text #5

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Data Index: 186065 (C4 (Web Text))

Max Activating Token Index: 257

Text #6

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Data Index: 577354 (C4 (Web Text))

Max Activating Token Index: 877

Text #7

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Max Activating Token Index: 570

Text #8

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Max Activating Token Index: 165

Text #9

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Max Activating Token Index: 296

Text #10

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Max Activating Token Index: 47

Text #11

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Data Index: 947975 (C4 (Web Text))

Max Activating Token Index: 366

Text #12

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Data Index: 680650 (C4 (Web Text))

Max Activating Token Index: 545

Text #13

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Data Index: 658796 (C4 (Web Text))

Max Activating Token Index: 998

Text #14

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Max Activating Token Index: 791

Text #15

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Max Activating Token Index: 758

Text #16

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Max Activating Token Index: 891

Text #17

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Max Activating Token Index: 811

Text #18

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Data Index: 269347 (C4 (Web Text))

Max Activating Token Index: 354

Text #19

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Data Index: 607107 (C4 (Web Text))

Max Activating Token Index: 297