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

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

Neuron 4904 in Layer 0

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

Text #0

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Data Index: 333185 (C4 (Web Text))

Max Activating Token Index: 55

Text #1

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Max Activating Token Index: 360

Text #2

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Max Act: 0.0253. Min Act: -0.0002

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Max Activating Token Index: 92

Text #3

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Max Act: 0.0250. Min Act: -0.0002

Data Index: 496143 (C4 (Web Text))

Max Activating Token Index: 424

Text #4

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Max Act: 0.0243. Min Act: -0.0002

Data Index: 334430 (C4 (Web Text))

Max Activating Token Index: 341

Text #5

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Data Index: 1056478 (C4 (Web Text))

Max Activating Token Index: 530

Text #6

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Text #7

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Max Activating Token Index: 67

Text #8

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Text #9

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Max Activating Token Index: 32

Text #10

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Max Activating Token Index: 767

Text #11

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Max Activating Token Index: 133

Text #12

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Max Activating Token Index: 44

Text #13

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Max Activating Token Index: 650

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: 166

Text #18

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Max Activating Token Index: 96

Text #19

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Data Index: 211567 (C4 (Web Text))

Max Activating Token Index: 548