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

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

Neuron 292 in Layer 5

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

Text #0

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Data Index: 214621 (C4 (Web Text))

Max Activating Token Index: 564

Text #1

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Max Act: 0.0747. Min Act: -0.0000

Data Index: 1237756 (C4 (Web Text))

Max Activating Token Index: 26

Text #2

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Max Act: 0.0707. Min Act: -0.0000

Data Index: 1509807 (Python Code)

Max Activating Token Index: 605

Text #3

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Max Act: 0.0818. Min Act: -0.0000

Data Index: 784085 (C4 (Web Text))

Max Activating Token Index: 646

Text #4

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Max Act: 0.0668. Min Act: -0.0000

Data Index: 1347428 (C4 (Web Text))

Max Activating Token Index: 96

Text #5

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Max Act: 0.0718. Min Act: -0.0000

Data Index: 275247 (C4 (Web Text))

Max Activating Token Index: 467

Text #6

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Data Index: 244528 (C4 (Web Text))

Max Activating Token Index: 950

Text #7

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Data Index: 614208 (C4 (Web Text))

Max Activating Token Index: 703

Text #8

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Data Index: 1405067 (Python Code)

Max Activating Token Index: 68

Text #9

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Data Index: 231647 (C4 (Web Text))

Max Activating Token Index: 942

Text #10

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Max Activating Token Index: 48

Text #11

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Data Index: 579993 (C4 (Web Text))

Max Activating Token Index: 502

Text #12

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Data Index: 1441279 (Python Code)

Max Activating Token Index: 451

Text #13

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Data Index: 166875 (C4 (Web Text))

Max Activating Token Index: 941

Text #14

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Data Index: 642540 (C4 (Web Text))

Max Activating Token Index: 679

Text #15

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Max Activating Token Index: 814

Text #16

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Max Activating Token Index: 865

Text #17

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Data Index: 178060 (C4 (Web Text))

Max Activating Token Index: 348

Text #18

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Data Index: 540808 (C4 (Web Text))

Max Activating Token Index: 642

Text #19

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Max Act: 0.0527. Min Act: -0.0000

Data Index: 268853 (C4 (Web Text))

Max Activating Token Index: 251