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

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

Neuron 4605 in Layer 0

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

Text #0

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Max Act: 0.0303. Min Act: -0.0002

Data Index: 179468 (C4 (Web Text))

Max Activating Token Index: 77

Text #1

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Max Act: 0.0258. Min Act: -0.0002

Data Index: 247495 (C4 (Web Text))

Max Activating Token Index: 80

Text #2

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Max Act: 0.0251. Min Act: -0.0002

Data Index: 995702 (C4 (Web Text))

Max Activating Token Index: 225

Text #3

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Max Act: 0.0251. Min Act: -0.0002

Data Index: 92483 (C4 (Web Text))

Max Activating Token Index: 95

Text #4

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Max Act: 0.0251. Min Act: -0.0002

Data Index: 1199308 (C4 (Web Text))

Max Activating Token Index: 707

Text #5

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Max Act: 0.0248. Min Act: -0.0002

Data Index: 856308 (C4 (Web Text))

Max Activating Token Index: 309

Text #6

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Max Activating Token Index: 666

Text #7

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Max Activating Token Index: 656

Text #8

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Max Activating Token Index: 165

Text #9

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Max Activating Token Index: 50

Text #10

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Max Activating Token Index: 52

Text #11

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Data Index: 908970 (C4 (Web Text))

Max Activating Token Index: 87

Text #12

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Max Activating Token Index: 65

Text #13

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Data Index: 658547 (C4 (Web Text))

Max Activating Token Index: 183

Text #14

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Data Index: 263687 (C4 (Web Text))

Max Activating Token Index: 433

Text #15

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Max Activating Token Index: 897

Text #16

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Text #17

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Data Index: 245618 (C4 (Web Text))

Max Activating Token Index: 880

Text #18

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Data Index: 702389 (C4 (Web Text))

Max Activating Token Index: 31

Text #19

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Data Index: 643218 (C4 (Web Text))

Max Activating Token Index: 258