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

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

Neuron 746 in Layer 1

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

Text #0

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Max Act: 0.0397. Min Act: -0.0006

Data Index: 137663 (C4 (Web Text))

Max Activating Token Index: 153

Text #1

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Data Index: 779371 (C4 (Web Text))

Max Activating Token Index: 643

Text #2

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Max Act: 0.0398. Min Act: -0.0006

Data Index: 527174 (C4 (Web Text))

Max Activating Token Index: 492

Text #3

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Max Act: 0.0380. Min Act: -0.0006

Data Index: 390628 (C4 (Web Text))

Max Activating Token Index: 819

Text #4

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Data Index: 987826 (C4 (Web Text))

Max Activating Token Index: 599

Text #5

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Max Act: 0.0369. Min Act: -0.0006

Data Index: 290356 (C4 (Web Text))

Max Activating Token Index: 660

Text #6

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Max Activating Token Index: 128

Text #7

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Text #9

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Max Activating Token Index: 762

Text #10

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Max Activating Token Index: 486

Text #11

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Max Activating Token Index: 825

Text #12

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Max Activating Token Index: 194

Text #13

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Data Index: 332663 (C4 (Web Text))

Max Activating Token Index: 32

Text #14

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Data Index: 322223 (C4 (Web Text))

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Text #15

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Max Activating Token Index: 573

Text #16

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Max Activating Token Index: 391

Text #17

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Max Activating Token Index: 487

Text #18

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Text #19

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Data Index: 1168719 (C4 (Web Text))

Max Activating Token Index: 870