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

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

Neuron 566 in Layer 11

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

Text #0

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Max Act: 0.5365. Min Act: -0.0000

Data Index: 1506024 (Python Code)

Max Activating Token Index: 1005

Text #1

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Max Act: 0.4728. Min Act: -0.0000

Data Index: 847074 (C4 (Web Text))

Max Activating Token Index: 750

Text #2

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Max Act: 0.5203. Min Act: -0.0000

Data Index: 517884 (C4 (Web Text))

Max Activating Token Index: 994

Text #3

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Max Act: 0.4197. Min Act: -0.0000

Data Index: 1455994 (Python Code)

Max Activating Token Index: 591

Text #4

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Data Index: 1511545 (Python Code)

Max Activating Token Index: 857

Text #5

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Data Index: 121103 (C4 (Web Text))

Max Activating Token Index: 89

Text #6

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Data Index: 57259 (C4 (Web Text))

Max Activating Token Index: 358

Text #7

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Data Index: 480286 (C4 (Web Text))

Max Activating Token Index: 657

Text #8

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Data Index: 1380476 (Python Code)

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Text #9

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Data Index: 720271 (C4 (Web Text))

Max Activating Token Index: 865

Text #10

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Data Index: 1509307 (Python Code)

Max Activating Token Index: 515

Text #11

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Data Index: 1486970 (Python Code)

Max Activating Token Index: 586

Text #12

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Data Index: 620113 (C4 (Web Text))

Max Activating Token Index: 997

Text #13

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Data Index: 309385 (C4 (Web Text))

Max Activating Token Index: 161

Text #14

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Data Index: 237084 (C4 (Web Text))

Max Activating Token Index: 812

Text #15

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Max Activating Token Index: 882

Text #16

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Text #17

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Data Index: 1475842 (Python Code)

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Text #18

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Data Index: 951660 (C4 (Web Text))

Max Activating Token Index: 136

Text #19

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Data Index: 1411592 (Python Code)

Max Activating Token Index: 610