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

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

Neuron 3988 in Layer 1

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

Text #0

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Max Act: 0.0319. Min Act: -0.0002

Data Index: 174347 (C4 (Web Text))

Max Activating Token Index: 357

Text #1

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Max Act: 0.0299. Min Act: -0.0003

Data Index: 33016 (C4 (Web Text))

Max Activating Token Index: 855

Text #2

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Max Act: 0.0282. Min Act: -0.0003

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Max Activating Token Index: 10

Text #3

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Max Act: 0.0277. Min Act: -0.0002

Data Index: 622316 (C4 (Web Text))

Max Activating Token Index: 198

Text #4

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Max Act: 0.0269. Min Act: -0.0003

Data Index: 1037695 (C4 (Web Text))

Max Activating Token Index: 552

Text #5

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Max Act: 0.0261. Min Act: -0.0003

Data Index: 336211 (C4 (Web Text))

Max Activating Token Index: 392

Text #6

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Max Activating Token Index: 456

Text #7

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Max Activating Token Index: 776

Text #8

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Max Activating Token Index: 694

Text #9

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Data Index: 439673 (C4 (Web Text))

Max Activating Token Index: 602

Text #10

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Max Activating Token Index: 176

Text #11

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Max Activating Token Index: 849

Text #12

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Max Activating Token Index: 632

Text #13

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Max Activating Token Index: 268

Text #14

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Max Activating Token Index: 444

Text #15

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Text #16

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Max Activating Token Index: 400

Text #17

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Max Activating Token Index: 751

Text #18

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Data Index: 471600 (C4 (Web Text))

Max Activating Token Index: 865

Text #19

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Data Index: 514820 (C4 (Web Text))

Max Activating Token Index: 624