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

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

Neuron 1505 in Layer 1

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

Text #0

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Max Act: 0.0473. Min Act: -0.0006

Data Index: 825571 (C4 (Web Text))

Max Activating Token Index: 246

Text #1

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Max Act: 0.0366. Min Act: -0.0006

Data Index: 458084 (C4 (Web Text))

Max Activating Token Index: 422

Text #2

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Max Act: 0.0380. Min Act: -0.0006

Data Index: 775794 (C4 (Web Text))

Max Activating Token Index: 655

Text #3

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Max Act: 0.0378. Min Act: -0.0006

Data Index: 487091 (C4 (Web Text))

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0384. Min Act: -0.0006

Data Index: 1156115 (C4 (Web Text))

Max Activating Token Index: 99

Text #5

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Max Act: 0.0400. Min Act: -0.0006

Data Index: 1274827 (C4 (Web Text))

Max Activating Token Index: 315

Text #6

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Data Index: 738090 (C4 (Web Text))

Max Activating Token Index: 730

Text #7

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Max Activating Token Index: 1023

Text #8

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Max Activating Token Index: 530

Text #9

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Max Activating Token Index: 1023

Text #10

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Max Activating Token Index: 1023

Text #11

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Max Activating Token Index: 223

Text #12

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Max Activating Token Index: 57

Text #13

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Data Index: 272365 (C4 (Web Text))

Max Activating Token Index: 163

Text #14

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Max Activating Token Index: 178

Text #15

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Max Activating Token Index: 119

Text #16

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Max Activating Token Index: 795

Text #17

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Max Activating Token Index: 1023

Text #18

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Max Activating Token Index: 657

Text #19

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Data Index: 46277 (C4 (Web Text))

Max Activating Token Index: 422