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

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

Neuron 4932 in Layer 1

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

Text #0

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Max Act: 0.0574. Min Act: -0.0003

Data Index: 552987 (C4 (Web Text))

Max Activating Token Index: 191

Text #1

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Data Index: 218412 (C4 (Web Text))

Max Activating Token Index: 869

Text #2

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Max Act: 0.0516. Min Act: -0.0002

Data Index: 986442 (C4 (Web Text))

Max Activating Token Index: 266

Text #3

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Max Act: 0.0509. Min Act: -0.0003

Data Index: 831764 (C4 (Web Text))

Max Activating Token Index: 218

Text #4

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Max Act: 0.0498. Min Act: -0.0003

Data Index: 351745 (C4 (Web Text))

Max Activating Token Index: 701

Text #5

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Max Act: 0.0493. Min Act: -0.0003

Data Index: 545302 (C4 (Web Text))

Max Activating Token Index: 369

Text #6

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Max Activating Token Index: 683

Text #7

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Max Activating Token Index: 894

Text #8

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Max Activating Token Index: 193

Text #9

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Data Index: 404757 (C4 (Web Text))

Max Activating Token Index: 393

Text #10

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Data Index: 988542 (C4 (Web Text))

Max Activating Token Index: 850

Text #11

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Max Activating Token Index: 787

Text #12

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Max Activating Token Index: 633

Text #13

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Data Index: 500750 (C4 (Web Text))

Max Activating Token Index: 122

Text #14

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Max Activating Token Index: 310

Text #15

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Max Activating Token Index: 810

Text #16

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Max Activating Token Index: 166

Text #17

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Max Activating Token Index: 997

Text #18

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Data Index: 1207209 (C4 (Web Text))

Max Activating Token Index: 95

Text #19

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Data Index: 223469 (C4 (Web Text))

Max Activating Token Index: 395