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

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

Neuron 948 in Layer 2

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

Text #0

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Max Act: 0.0323. Min Act: -0.0002

Data Index: 1049664 (C4 (Web Text))

Max Activating Token Index: 626

Text #1

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Data Index: 78686 (C4 (Web Text))

Max Activating Token Index: 846

Text #2

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Max Act: 0.0298. Min Act: -0.0002

Data Index: 572238 (C4 (Web Text))

Max Activating Token Index: 464

Text #3

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Max Act: 0.0294. Min Act: -0.0002

Data Index: 693589 (C4 (Web Text))

Max Activating Token Index: 126

Text #4

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Data Index: 673749 (C4 (Web Text))

Max Activating Token Index: 1004

Text #5

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Data Index: 955469 (C4 (Web Text))

Max Activating Token Index: 126

Text #6

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Max Activating Token Index: 868

Text #7

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Max Activating Token Index: 306

Text #8

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Max Activating Token Index: 776

Text #9

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Max Activating Token Index: 376

Text #10

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Data Index: 55249 (C4 (Web Text))

Max Activating Token Index: 628

Text #11

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Data Index: 1003052 (C4 (Web Text))

Max Activating Token Index: 931

Text #12

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Max Activating Token Index: 932

Text #13

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Data Index: 1267865 (C4 (Web Text))

Max Activating Token Index: 412

Text #14

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Data Index: 573541 (C4 (Web Text))

Max Activating Token Index: 530

Text #15

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Text #16

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Max Activating Token Index: 783

Text #17

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Data Index: 149465 (C4 (Web Text))

Max Activating Token Index: 469

Text #18

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Data Index: 1498729 (Python Code)

Max Activating Token Index: 225

Text #19

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Max Act: 0.0222. Min Act: -0.0002

Data Index: 127393 (C4 (Web Text))

Max Activating Token Index: 996