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

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

Neuron 4102 in Layer 0

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

Text #0

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Max Act: 0.0108. Min Act: -0.0002

Data Index: 30385 (C4 (Web Text))

Max Activating Token Index: 2

Text #1

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Max Act: 0.0108. Min Act: -0.0002

Data Index: 641261 (C4 (Web Text))

Max Activating Token Index: 2

Text #2

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Max Act: 0.0096. Min Act: -0.0002

Data Index: 733898 (C4 (Web Text))

Max Activating Token Index: 32

Text #3

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Max Act: 0.0094. Min Act: -0.0002

Data Index: 1061289 (C4 (Web Text))

Max Activating Token Index: 2

Text #4

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Max Act: 0.0094. Min Act: -0.0002

Data Index: 352596 (C4 (Web Text))

Max Activating Token Index: 2

Text #5

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Max Act: 0.0094. Min Act: -0.0002

Data Index: 1324138 (C4 (Web Text))

Max Activating Token Index: 44

Text #6

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Max Activating Token Index: 2

Text #7

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Max Activating Token Index: 3

Text #8

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Data Index: 29630 (C4 (Web Text))

Max Activating Token Index: 51

Text #9

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Data Index: 1107482 (C4 (Web Text))

Max Activating Token Index: 54

Text #10

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Max Activating Token Index: 54

Text #11

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Max Activating Token Index: 40

Text #12

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Max Activating Token Index: 65

Text #13

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Data Index: 139618 (C4 (Web Text))

Max Activating Token Index: 106

Text #14

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Max Activating Token Index: 102

Text #15

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Text #16

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Max Activating Token Index: 92

Text #17

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Max Activating Token Index: 84

Text #18

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Max Activating Token Index: 909

Text #19

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Data Index: 1181468 (C4 (Web Text))

Max Activating Token Index: 25