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

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

Neuron 4988 in Layer 0

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

Text #0

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Max Act: 0.0057. Min Act: -0.0002

Data Index: 1120411 (C4 (Web Text))

Max Activating Token Index: 22

Text #1

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Max Act: 0.0056. Min Act: -0.0002

Data Index: 408816 (C4 (Web Text))

Max Activating Token Index: 12

Text #2

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Max Act: 0.0055. Min Act: -0.0002

Data Index: 888456 (C4 (Web Text))

Max Activating Token Index: 29

Text #3

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Max Act: 0.0053. Min Act: -0.0002

Data Index: 241888 (C4 (Web Text))

Max Activating Token Index: 47

Text #4

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Max Act: 0.0053. Min Act: -0.0002

Data Index: 927420 (C4 (Web Text))

Max Activating Token Index: 26

Text #5

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Max Act: 0.0054. Min Act: -0.0002

Data Index: 449027 (C4 (Web Text))

Max Activating Token Index: 22

Text #6

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Max Activating Token Index: 900

Text #7

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Max Activating Token Index: 14

Text #8

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Max Activating Token Index: 9

Text #9

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Max Act: 0.0053. Min Act: -0.0002

Data Index: 1006906 (C4 (Web Text))

Max Activating Token Index: 314

Text #10

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Max Activating Token Index: 61

Text #11

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Max Activating Token Index: 699

Text #12

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Max Activating Token Index: 50

Text #13

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Data Index: 1306531 (C4 (Web Text))

Max Activating Token Index: 100

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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Max Activating Token Index: 988

Text #19

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Data Index: 596488 (C4 (Web Text))

Max Activating Token Index: 230