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

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

Neuron 1503 in Layer 6

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

Text #0

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Max Act: 0.1753. Min Act: -0.0000

Data Index: 1520582 (Python Code)

Max Activating Token Index: 492

Text #1

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Max Act: 0.1482. Min Act: -0.0000

Data Index: 1587562 (Python Code)

Max Activating Token Index: 867

Text #2

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Data Index: 1393964 (Python Code)

Max Activating Token Index: 1015

Text #3

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Max Act: 0.1370. Min Act: -0.0000

Data Index: 1022479 (C4 (Web Text))

Max Activating Token Index: 696

Text #4

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Data Index: 999432 (C4 (Web Text))

Max Activating Token Index: 757

Text #5

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Data Index: 1138231 (C4 (Web Text))

Max Activating Token Index: 805

Text #6

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Data Index: 1484576 (Python Code)

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Text #7

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Data Index: 1411458 (Python Code)

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Text #8

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Data Index: 1500055 (Python Code)

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Text #9

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Data Index: 217936 (C4 (Web Text))

Max Activating Token Index: 258

Text #10

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Text #11

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Max Activating Token Index: 696

Text #12

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Max Activating Token Index: 703

Text #13

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Data Index: 1389464 (Python Code)

Max Activating Token Index: 609

Text #14

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Data Index: 646814 (C4 (Web Text))

Max Activating Token Index: 454

Text #15

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Data Index: 1554829 (Python Code)

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Text #16

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Text #17

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Data Index: 1548325 (Python Code)

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Text #18

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Data Index: 213793 (C4 (Web Text))

Max Activating Token Index: 921

Text #19

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Data Index: 1451797 (Python Code)

Max Activating Token Index: 550