Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1825 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0301. Min Act: -0.0006

Data Index: 341556 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Data Index: 757963 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0282. Min Act: -0.0005

Data Index: 1291476 (C4 (Web Text))

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0260. Min Act: -0.0006

Data Index: 369133 (C4 (Web Text))

Max Activating Token Index: 780

Text #4

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Data Index: 975868 (C4 (Web Text))

Max Activating Token Index: 1023

Text #5

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Data Index: 1120801 (C4 (Web Text))

Max Activating Token Index: 1023

Text #6

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Max Activating Token Index: 1023

Text #7

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Max Activating Token Index: 732

Text #8

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Max Activating Token Index: 424

Text #9

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Max Activating Token Index: 894

Text #10

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Max Activating Token Index: 312

Text #11

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Max Activating Token Index: 301

Text #12

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Max Activating Token Index: 234

Text #13

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Text #14

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Text #15

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Text #16

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Max Activating Token Index: 1023

Text #17

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Max Activating Token Index: 297

Text #18

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Data Index: 296041 (C4 (Web Text))

Max Activating Token Index: 371

Text #19

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Data Index: 1413801 (Python Code)

Max Activating Token Index: 1023