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

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

Neuron 1830 in Layer 2

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

Text #0

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Max Act: 0.0518. Min Act: -0.0002

Data Index: 1476400 (Python Code)

Max Activating Token Index: 186

Text #1

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Max Act: 0.0397. Min Act: -0.0002

Data Index: 1641886 (Python Code)

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Text #2

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Max Act: 0.0315. Min Act: -0.0002

Data Index: 1641821 (Python Code)

Max Activating Token Index: 139

Text #3

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Max Act: 0.0369. Min Act: -0.0002

Data Index: 1399948 (Python Code)

Max Activating Token Index: 10

Text #4

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Max Act: 0.0325. Min Act: -0.0002

Data Index: 1583960 (Python Code)

Max Activating Token Index: 74

Text #5

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Data Index: 1461157 (Python Code)

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Text #6

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Data Index: 1526712 (Python Code)

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Text #7

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Data Index: 1634826 (Python Code)

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Text #8

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Data Index: 1564573 (Python Code)

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Text #9

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Data Index: 1390732 (Python Code)

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Data Index: 1578821 (Python Code)

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Text #11

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Data Index: 1489706 (Python Code)

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Text #12

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Data Index: 1634709 (Python Code)

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Text #13

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Data Index: 1391921 (Python Code)

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Text #14

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Data Index: 1655276 (Python Code)

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Text #15

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Data Index: 1645549 (Python Code)

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Text #16

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Data Index: 1378060 (Python Code)

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Text #17

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Data Index: 1627208 (Python Code)

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Text #18

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Data Index: 820722 (C4 (Web Text))

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Text #19

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Data Index: 1501958 (Python Code)

Max Activating Token Index: 19