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

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

Neuron 2461 in Layer 0

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

Text #0

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Max Act: 0.0074. Min Act: -0.0002

Data Index: 849805 (C4 (Web Text))

Max Activating Token Index: 13

Text #1

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Max Act: 0.0071. Min Act: -0.0002

Data Index: 926845 (C4 (Web Text))

Max Activating Token Index: 12

Text #2

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Max Act: 0.0070. Min Act: -0.0002

Data Index: 565638 (C4 (Web Text))

Max Activating Token Index: 26

Text #3

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Max Act: 0.0071. Min Act: -0.0002

Data Index: 823602 (C4 (Web Text))

Max Activating Token Index: 26

Text #4

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Max Act: 0.0064. Min Act: -0.0002

Data Index: 512439 (C4 (Web Text))

Max Activating Token Index: 15

Text #5

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Max Act: 0.0064. Min Act: -0.0002

Data Index: 317569 (C4 (Web Text))

Max Activating Token Index: 16

Text #6

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Max Act: 0.0065. Min Act: -0.0002

Data Index: 306194 (C4 (Web Text))

Max Activating Token Index: 23

Text #7

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Max Activating Token Index: 16

Text #8

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Max Activating Token Index: 25

Text #9

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Data Index: 215130 (C4 (Web Text))

Max Activating Token Index: 19

Text #10

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Max Activating Token Index: 43

Text #11

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Max Activating Token Index: 13

Text #12

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Data Index: 407296 (C4 (Web Text))

Max Activating Token Index: 72

Text #13

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Data Index: 369362 (C4 (Web Text))

Max Activating Token Index: 12

Text #14

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Max Activating Token Index: 9

Text #15

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Max Activating Token Index: 41

Text #16

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Max Activating Token Index: 15

Text #17

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Max Activating Token Index: 35

Text #18

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Max Activating Token Index: 54

Text #19

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Data Index: 1312614 (C4 (Web Text))

Max Activating Token Index: 27