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

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

Neuron 3145 in Layer 1

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

Text #0

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Max Act: 0.0546. Min Act: -0.0003

Data Index: 1034590 (C4 (Web Text))

Max Activating Token Index: 84

Text #1

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Data Index: 1157896 (C4 (Web Text))

Max Activating Token Index: 59

Text #2

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Max Act: 0.0479. Min Act: -0.0002

Data Index: 443167 (C4 (Web Text))

Max Activating Token Index: 240

Text #3

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Max Act: 0.0461. Min Act: -0.0003

Data Index: 732616 (C4 (Web Text))

Max Activating Token Index: 427

Text #4

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Max Act: 0.0458. Min Act: -0.0003

Data Index: 1101729 (C4 (Web Text))

Max Activating Token Index: 297

Text #5

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Max Activating Token Index: 99

Text #6

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Max Activating Token Index: 394

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Max Activating Token Index: 185

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Text #10

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Max Activating Token Index: 55

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Max Activating Token Index: 33

Text #13

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Max Activating Token Index: 50

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: 52

Text #19

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Data Index: 490784 (C4 (Web Text))

Max Activating Token Index: 248