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

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

Neuron 3010 in Layer 1

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

Text #0

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Max Act: 0.0476. Min Act: -0.0003

Data Index: 1002061 (C4 (Web Text))

Max Activating Token Index: 879

Text #1

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Max Activating Token Index: 600

Text #2

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Data Index: 897967 (C4 (Web Text))

Max Activating Token Index: 754

Text #3

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Max Act: 0.0431. Min Act: -0.0002

Data Index: 119285 (C4 (Web Text))

Max Activating Token Index: 81

Text #4

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Max Act: 0.0449. Min Act: -0.0002

Data Index: 867940 (C4 (Web Text))

Max Activating Token Index: 616

Text #5

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Data Index: 917852 (C4 (Web Text))

Max Activating Token Index: 472

Text #6

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Max Activating Token Index: 875

Text #7

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Max Activating Token Index: 81

Text #8

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Max Activating Token Index: 725

Text #9

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Max Activating Token Index: 158

Text #10

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Data Index: 6469 (C4 (Web Text))

Max Activating Token Index: 162

Text #11

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Text #12

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Max Activating Token Index: 113

Text #13

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Max Activating Token Index: 543

Text #14

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Data Index: 337290 (C4 (Web Text))

Max Activating Token Index: 223

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 326

Text #18

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Data Index: 134414 (C4 (Web Text))

Max Activating Token Index: 969

Text #19

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Data Index: 656558 (C4 (Web Text))

Max Activating Token Index: 276