Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 4108 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.0433. Min Act: -0.0002

Data Index: 1143370 (C4 (Web Text))

Max Activating Token Index: 692

Text #1

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Data Index: 544742 (C4 (Web Text))

Max Activating Token Index: 892

Text #2

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Max Act: 0.0392. Min Act: -0.0002

Data Index: 262690 (C4 (Web Text))

Max Activating Token Index: 747

Text #3

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Max Act: 0.0389. Min Act: -0.0002

Data Index: 12821 (C4 (Web Text))

Max Activating Token Index: 959

Text #4

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Max Act: 0.0382. Min Act: -0.0002

Data Index: 359723 (C4 (Web Text))

Max Activating Token Index: 415

Text #5

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Data Index: 623350 (C4 (Web Text))

Max Activating Token Index: 578

Text #6

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Data Index: 341466 (C4 (Web Text))

Max Activating Token Index: 616

Text #7

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Max Activating Token Index: 773

Text #8

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Max Activating Token Index: 287

Text #9

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Max Activating Token Index: 309

Text #10

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Data Index: 740274 (C4 (Web Text))

Max Activating Token Index: 137

Text #11

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Max Activating Token Index: 301

Text #12

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Max Activating Token Index: 27

Text #13

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Max Activating Token Index: 662

Text #14

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Max Activating Token Index: 788

Text #15

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Max Activating Token Index: 437

Text #16

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Max Activating Token Index: 356

Text #17

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Max Activating Token Index: 432

Text #18

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Data Index: 1161964 (C4 (Web Text))

Max Activating Token Index: 705

Text #19

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Max Act: 0.0284. Min Act: -0.0002

Data Index: 574014 (C4 (Web Text))

Max Activating Token Index: 652