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

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

Neuron 3781 in Layer 9

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

Text #0

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Max Act: 0.0017. Min Act: -0.0000

Data Index: 386995 (C4 (Web Text))

Max Activating Token Index: 534

Text #1

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Data Index: 1460402 (Python Code)

Max Activating Token Index: 597

Text #2

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Max Act: 0.0016. Min Act: -0.0000

Data Index: 1390843 (Python Code)

Max Activating Token Index: 604

Text #3

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Max Act: 0.0020. Min Act: -0.0000

Data Index: 1375210 (Python Code)

Max Activating Token Index: 111

Text #4

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Max Act: 0.0020. Min Act: -0.0001

Data Index: 1497487 (Python Code)

Max Activating Token Index: 989

Text #5

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Data Index: 681090 (C4 (Web Text))

Max Activating Token Index: 260

Text #6

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Data Index: 1436889 (Python Code)

Max Activating Token Index: 476

Text #7

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Data Index: 1405955 (Python Code)

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Text #8

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Data Index: 1189774 (C4 (Web Text))

Max Activating Token Index: 997

Text #9

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Data Index: 1554189 (Python Code)

Max Activating Token Index: 625

Text #10

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Data Index: 333452 (C4 (Web Text))

Max Activating Token Index: 147

Text #11

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Data Index: 1432200 (Python Code)

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Text #12

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Data Index: 1471017 (Python Code)

Max Activating Token Index: 997

Text #13

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Data Index: 1528299 (Python Code)

Max Activating Token Index: 544

Text #14

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Data Index: 1646413 (Python Code)

Max Activating Token Index: 590

Text #15

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Data Index: 1580591 (Python Code)

Max Activating Token Index: 258

Text #16

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Data Index: 1480562 (Python Code)

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Text #17

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Data Index: 1386025 (Python Code)

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Text #18

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Data Index: 1399723 (Python Code)

Max Activating Token Index: 466

Text #19

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Max Act: 0.0015. Min Act: -0.0001

Data Index: 1582817 (Python Code)

Max Activating Token Index: 933