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

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

Neuron 4924 in Layer 10

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

Text #0

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Max Act: 0.9728. Min Act: -0.0000

Data Index: 1473626 (Python Code)

Max Activating Token Index: 503

Text #1

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Max Act: 0.9939. Min Act: -0.0000

Data Index: 1388386 (Python Code)

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Text #2

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Max Act: 0.9954. Min Act: -0.0000

Data Index: 1654129 (Python Code)

Max Activating Token Index: 490

Text #3

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Max Act: 0.9502. Min Act: -0.0000

Data Index: 1385211 (Python Code)

Max Activating Token Index: 529

Text #4

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Max Act: 0.8631. Min Act: -0.0000

Data Index: 1408453 (Python Code)

Max Activating Token Index: 672

Text #5

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Data Index: 1455681 (Python Code)

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Text #6

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Data Index: 1418425 (Python Code)

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Text #7

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Data Index: 1372009 (Python Code)

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Text #8

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Data Index: 1476855 (Python Code)

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Text #9

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Data Index: 1340134 (C4 (Web Text))

Max Activating Token Index: 766

Text #10

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Data Index: 1469035 (Python Code)

Max Activating Token Index: 151

Text #11

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Data Index: 1592334 (Python Code)

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Text #12

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Data Index: 1474484 (Python Code)

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Text #13

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Data Index: 1477810 (Python Code)

Max Activating Token Index: 264

Text #14

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Data Index: 328228 (C4 (Web Text))

Max Activating Token Index: 321

Text #15

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Data Index: 1483757 (Python Code)

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Text #16

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Data Index: 1620049 (Python Code)

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Text #17

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Data Index: 1614420 (Python Code)

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Text #18

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Data Index: 1514363 (Python Code)

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Text #19

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Max Act: 0.7381. Min Act: -0.0000

Data Index: 1422446 (Python Code)

Max Activating Token Index: 573