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

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

Neuron 2160 in Layer 1

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

Text #0

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Max Act: 0.0187. Min Act: -0.0003

Data Index: 587800 (C4 (Web Text))

Max Activating Token Index: 335

Text #1

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Data Index: 618314 (C4 (Web Text))

Max Activating Token Index: 937

Text #2

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Max Act: 0.0148. Min Act: -0.0002

Data Index: 1090767 (C4 (Web Text))

Max Activating Token Index: 629

Text #3

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Max Act: 0.0145. Min Act: -0.0003

Data Index: 847144 (C4 (Web Text))

Max Activating Token Index: 86

Text #4

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Data Index: 742056 (C4 (Web Text))

Max Activating Token Index: 27

Text #5

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Max Activating Token Index: 923

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 321

Text #9

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Max Activating Token Index: 113

Text #10

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Max Activating Token Index: 261

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Max Activating Token Index: 463

Text #12

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Max Activating Token Index: 426

Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 334

Text #18

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Max Activating Token Index: 176

Text #19

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Data Index: 201186 (C4 (Web Text))

Max Activating Token Index: 252