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

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

Neuron 1632 in Layer 1

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

Text #0

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Max Act: 0.0478. Min Act: -0.0006

Data Index: 29850 (C4 (Web Text))

Max Activating Token Index: 211

Text #1

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Max Act: 0.0475. Min Act: -0.0006

Data Index: 966799 (C4 (Web Text))

Max Activating Token Index: 288

Text #2

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Max Act: 0.0446. Min Act: -0.0006

Data Index: 927324 (C4 (Web Text))

Max Activating Token Index: 320

Text #3

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Max Act: 0.0454. Min Act: -0.0006

Data Index: 780457 (C4 (Web Text))

Max Activating Token Index: 395

Text #4

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Max Act: 0.0452. Min Act: -0.0006

Data Index: 977373 (C4 (Web Text))

Max Activating Token Index: 111

Text #5

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Max Act: 0.0440. Min Act: -0.0006

Data Index: 69691 (C4 (Web Text))

Max Activating Token Index: 718

Text #6

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Max Activating Token Index: 616

Text #7

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Data Index: 526472 (C4 (Web Text))

Max Activating Token Index: 470

Text #8

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Data Index: 607294 (C4 (Web Text))

Max Activating Token Index: 384

Text #9

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Data Index: 648046 (C4 (Web Text))

Max Activating Token Index: 192

Text #10

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Max Activating Token Index: 612

Text #11

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Max Activating Token Index: 554

Text #12

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Max Activating Token Index: 117

Text #13

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Max Activating Token Index: 240

Text #14

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Data Index: 56633 (C4 (Web Text))

Max Activating Token Index: 299

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 995

Text #18

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Data Index: 942081 (C4 (Web Text))

Max Activating Token Index: 474

Text #19

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Data Index: 825851 (C4 (Web Text))

Max Activating Token Index: 843