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

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

Neuron 3832 in Layer 2

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

Text #0

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Max Act: 0.0941. Min Act: -0.0002

Data Index: 1313106 (C4 (Web Text))

Max Activating Token Index: 911

Text #1

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Data Index: 907694 (C4 (Web Text))

Max Activating Token Index: 283

Text #2

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Max Act: 0.0937. Min Act: -0.0002

Data Index: 1245326 (C4 (Web Text))

Max Activating Token Index: 256

Text #3

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Max Act: 0.0884. Min Act: -0.0002

Data Index: 165464 (C4 (Web Text))

Max Activating Token Index: 208

Text #4

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Max Act: 0.0950. Min Act: -0.0002

Data Index: 296645 (C4 (Web Text))

Max Activating Token Index: 366

Text #5

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Max Activating Token Index: 869

Text #6

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Data Index: 475139 (C4 (Web Text))

Max Activating Token Index: 773

Text #7

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Max Activating Token Index: 217

Text #8

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Max Activating Token Index: 101

Text #9

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Max Activating Token Index: 995

Text #10

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Data Index: 56331 (C4 (Web Text))

Max Activating Token Index: 918

Text #11

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Data Index: 629606 (C4 (Web Text))

Max Activating Token Index: 108

Text #12

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Max Activating Token Index: 409

Text #13

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Data Index: 938076 (C4 (Web Text))

Max Activating Token Index: 178

Text #14

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Max Activating Token Index: 239

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 851

Text #18

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Data Index: 1319157 (C4 (Web Text))

Max Activating Token Index: 561

Text #19

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Data Index: 47761 (C4 (Web Text))

Max Activating Token Index: 197