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

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

Neuron 115 in Layer 0

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

Text #0

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Max Act: 0.0086. Min Act: -0.0002

Data Index: 352223 (C4 (Web Text))

Max Activating Token Index: 25

Text #1

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Data Index: 261156 (C4 (Web Text))

Max Activating Token Index: 6

Text #2

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Max Act: 0.0086. Min Act: -0.0002

Data Index: 966737 (C4 (Web Text))

Max Activating Token Index: 10

Text #3

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Max Act: 0.0083. Min Act: -0.0002

Data Index: 810607 (C4 (Web Text))

Max Activating Token Index: 6

Text #4

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Max Act: 0.0083. Min Act: -0.0002

Data Index: 1281667 (C4 (Web Text))

Max Activating Token Index: 13

Text #5

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Data Index: 430862 (C4 (Web Text))

Max Activating Token Index: 18

Text #6

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Text #7

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Data Index: 20501 (C4 (Web Text))

Max Activating Token Index: 18

Text #8

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Max Activating Token Index: 44

Text #9

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Max Activating Token Index: 6

Text #10

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Max Activating Token Index: 9

Text #11

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Max Activating Token Index: 4

Text #12

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Data Index: 650309 (C4 (Web Text))

Max Activating Token Index: 30

Text #13

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Data Index: 1613365 (Python Code)

Max Activating Token Index: 8

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 1630804 (Python Code)

Max Activating Token Index: 126

Text #19

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Max Act: 0.0075. Min Act: -0.0002

Data Index: 1393485 (Python Code)

Max Activating Token Index: 328