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

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

Neuron 597 in Layer 0

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

Text #0

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Max Act: 0.0219. Min Act: -0.0002

Data Index: 1391469 (Python Code)

Max Activating Token Index: 27

Text #1

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Max Act: 0.0205. Min Act: -0.0002

Data Index: 1536770 (Python Code)

Max Activating Token Index: 86

Text #2

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Max Act: 0.0201. Min Act: -0.0002

Data Index: 1473000 (Python Code)

Max Activating Token Index: 114

Text #3

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Max Act: 0.0195. Min Act: -0.0002

Data Index: 1448665 (Python Code)

Max Activating Token Index: 62

Text #4

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Max Act: 0.0191. Min Act: -0.0002

Data Index: 1549741 (Python Code)

Max Activating Token Index: 86

Text #5

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Max Act: 0.0188. Min Act: -0.0002

Data Index: 1366140 (Python Code)

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Text #6

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Data Index: 1649096 (Python Code)

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Text #7

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Data Index: 1528188 (Python Code)

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Text #8

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Data Index: 1604486 (Python Code)

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Text #9

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Data Index: 1442409 (Python Code)

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Text #10

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Data Index: 1604421 (Python Code)

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Text #11

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Data Index: 1463238 (Python Code)

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Text #12

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Data Index: 1413800 (Python Code)

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Text #13

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Data Index: 1520050 (Python Code)

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Text #14

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Data Index: 1496995 (Python Code)

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Text #15

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Data Index: 1413973 (Python Code)

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Text #16

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Data Index: 1450012 (Python Code)

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Text #17

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Data Index: 1537801 (Python Code)

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Text #18

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Data Index: 1578263 (Python Code)

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Text #19

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Max Act: 0.0179. Min Act: -0.0002

Data Index: 1494422 (Python Code)

Max Activating Token Index: 93