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

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

Neuron 760 in Layer 0

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

Text #0

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Max Act: 0.0132. Min Act: -0.0002

Data Index: 1290055 (C4 (Web Text))

Max Activating Token Index: 747

Text #1

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Max Activating Token Index: 47

Text #2

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Max Activating Token Index: 52

Text #3

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Max Act: 0.0129. Min Act: -0.0002

Data Index: 165911 (C4 (Web Text))

Max Activating Token Index: 51

Text #4

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Data Index: 1057338 (C4 (Web Text))

Max Activating Token Index: 905

Text #5

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Data Index: 651934 (C4 (Web Text))

Max Activating Token Index: 579

Text #6

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Max Activating Token Index: 921

Text #7

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Text #8

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Max Activating Token Index: 148

Text #9

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Max Activating Token Index: 915

Text #10

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Max Activating Token Index: 447

Text #11

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Max Activating Token Index: 98

Text #12

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Max Activating Token Index: 738

Text #13

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Max Activating Token Index: 894

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: 743

Text #19

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Data Index: 451225 (C4 (Web Text))

Max Activating Token Index: 770