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

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

Neuron 412 in Layer 2

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

Text #0

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Max Act: 0.0310. Min Act: -0.0003

Data Index: 1058854 (C4 (Web Text))

Max Activating Token Index: 545

Text #1

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Max Activating Token Index: 444

Text #2

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Data Index: 1229433 (C4 (Web Text))

Max Activating Token Index: 845

Text #3

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Max Act: 0.0306. Min Act: -0.0003

Data Index: 185046 (C4 (Web Text))

Max Activating Token Index: 735

Text #4

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Data Index: 1262688 (C4 (Web Text))

Max Activating Token Index: 957

Text #5

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Max Activating Token Index: 80

Text #6

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Max Activating Token Index: 506

Text #7

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Max Activating Token Index: 214

Text #8

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Max Activating Token Index: 286

Text #9

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Max Activating Token Index: 895

Text #10

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Max Activating Token Index: 374

Text #11

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Max Activating Token Index: 560

Text #12

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Max Activating Token Index: 636

Text #13

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Max Activating Token Index: 300

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 626

Text #17

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Max Activating Token Index: 476

Text #18

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Max Activating Token Index: 243

Text #19

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Data Index: 750799 (C4 (Web Text))

Max Activating Token Index: 389