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

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

Neuron 4956 in Layer 0

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

Text #0

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Max Act: 0.0114. Min Act: -0.0002

Data Index: 1271123 (C4 (Web Text))

Max Activating Token Index: 26

Text #1

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Data Index: 385055 (C4 (Web Text))

Max Activating Token Index: 21

Text #2

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Data Index: 945594 (C4 (Web Text))

Max Activating Token Index: 856

Text #3

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Max Act: 0.0105. Min Act: -0.0002

Data Index: 248652 (C4 (Web Text))

Max Activating Token Index: 27

Text #4

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Max Act: 0.0105. Min Act: -0.0002

Data Index: 764096 (C4 (Web Text))

Max Activating Token Index: 105

Text #5

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Max Activating Token Index: 886

Text #6

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Max Activating Token Index: 41

Text #7

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Max Activating Token Index: 72

Text #8

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Max Activating Token Index: 348

Text #9

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Max Activating Token Index: 50

Text #10

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Max Activating Token Index: 38

Text #11

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Max Activating Token Index: 62

Text #12

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Max Activating Token Index: 712

Text #13

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Max Activating Token Index: 959

Text #14

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Max Activating Token Index: 55

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: 864

Text #19

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Data Index: 646631 (C4 (Web Text))

Max Activating Token Index: 68