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

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

Neuron 3403 in Layer 0

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

Text #0

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Max Act: 0.0364. Min Act: -0.0002

Data Index: 1599097 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0333. Min Act: -0.0002

Data Index: 1647062 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0328. Min Act: -0.0002

Data Index: 1640589 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0316. Min Act: -0.0002

Data Index: 1646976 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0313. Min Act: -0.0002

Data Index: 1606191 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0299. Min Act: -0.0002

Data Index: 1563380 (Python Code)

Max Activating Token Index: 1023

Text #6

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Max Act: 0.0296. Min Act: -0.0002

Data Index: 1473647 (Python Code)

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Text #7

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Max Act: 0.0293. Min Act: -0.0002

Data Index: 1524522 (Python Code)

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Text #8

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Data Index: 1461460 (Python Code)

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Text #9

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Data Index: 1392288 (Python Code)

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Text #10

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Data Index: 1381394 (Python Code)

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Text #11

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Data Index: 1550168 (Python Code)

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Text #12

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Max Act: 0.0285. Min Act: -0.0002

Data Index: 1399484 (Python Code)

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Text #13

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Max Act: 0.0282. Min Act: -0.0002

Data Index: 1402902 (Python Code)

Max Activating Token Index: 13

Text #14

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Data Index: 1649346 (Python Code)

Max Activating Token Index: 1023

Text #15

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Data Index: 1552100 (Python Code)

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Text #16

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Data Index: 1504828 (Python Code)

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Text #17

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Data Index: 1634763 (Python Code)

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Text #18

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Data Index: 1550771 (Python Code)

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Text #19

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Max Act: 0.0277. Min Act: -0.0002

Data Index: 1595148 (Python Code)

Max Activating Token Index: 1023