Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1696 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0590. Min Act: -0.0003

Data Index: 885518 (C4 (Web Text))

Max Activating Token Index: 23

Text #1

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Max Act: 0.0592. Min Act: -0.0003

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Max Activating Token Index: 77

Text #2

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Max Act: 0.0536. Min Act: -0.0003

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Max Activating Token Index: 695

Text #3

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Max Act: 0.0489. Min Act: -0.0003

Data Index: 828523 (C4 (Web Text))

Max Activating Token Index: 28

Text #4

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Max Act: 0.0487. Min Act: -0.0003

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Max Activating Token Index: 20

Text #5

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Max Act: 0.0463. Min Act: -0.0003

Data Index: 459483 (C4 (Web Text))

Max Activating Token Index: 673

Text #6

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Max Activating Token Index: 436

Text #7

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Text #8

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Max Activating Token Index: 81

Text #9

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Max Activating Token Index: 157

Text #10

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Max Activating Token Index: 174

Text #11

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Max Activating Token Index: 30

Text #12

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Max Activating Token Index: 52

Text #13

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Max Activating Token Index: 675

Text #14

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Max Activating Token Index: 1001

Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 290

Text #19

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Data Index: 825463 (C4 (Web Text))

Max Activating Token Index: 72