Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 682 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0245. Min Act: -0.0004

Data Index: 1372290 (Python Code)

Max Activating Token Index: 955

Text #1

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Max Act: 0.0208. Min Act: -0.0004

Data Index: 1362467 (Python Code)

Max Activating Token Index: 656

Text #2

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Max Act: 0.0202. Min Act: -0.0004

Data Index: 1559811 (Python Code)

Max Activating Token Index: 627

Text #3

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Max Act: 0.0200. Min Act: -0.0004

Data Index: 1362129 (Python Code)

Max Activating Token Index: 969

Text #4

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Max Act: 0.0196. Min Act: -0.0004

Data Index: 1578008 (Python Code)

Max Activating Token Index: 751

Text #5

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Max Act: 0.0187. Min Act: -0.0004

Data Index: 1489522 (Python Code)

Max Activating Token Index: 934

Text #6

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Data Index: 1650154 (Python Code)

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Text #7

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Data Index: 1376878 (Python Code)

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Text #8

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Data Index: 1380233 (Python Code)

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Text #9

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Data Index: 1633461 (Python Code)

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Text #10

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Data Index: 1587921 (Python Code)

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Text #11

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Data Index: 1515618 (Python Code)

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Text #12

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Data Index: 1532845 (Python Code)

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Text #13

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Data Index: 1395063 (Python Code)

Max Activating Token Index: 575

Text #14

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Data Index: 1573208 (Python Code)

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Text #15

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Data Index: 1409403 (Python Code)

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Text #16

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Data Index: 1656358 (Python Code)

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Text #17

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Data Index: 1408545 (Python Code)

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Text #18

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Data Index: 1576308 (Python Code)

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Text #19

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Data Index: 1463897 (Python Code)

Max Activating Token Index: 829