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

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

Neuron 839 in Layer 1

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

Text #0

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Max Act: 0.0218. Min Act: -0.0003

Data Index: 1462495 (Python Code)

Max Activating Token Index: 38

Text #1

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Max Act: 0.0216. Min Act: -0.0003

Data Index: 1518063 (Python Code)

Max Activating Token Index: 26

Text #2

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Max Act: 0.0175. Min Act: -0.0002

Data Index: 1440252 (Python Code)

Max Activating Token Index: 327

Text #3

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Max Act: 0.0184. Min Act: -0.0003

Data Index: 1072030 (C4 (Web Text))

Max Activating Token Index: 23

Text #4

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Max Act: 0.0191. Min Act: -0.0002

Data Index: 1412753 (Python Code)

Max Activating Token Index: 233

Text #5

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Max Act: 0.0179. Min Act: -0.0002

Data Index: 1646990 (Python Code)

Max Activating Token Index: 102

Text #6

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Data Index: 1468225 (Python Code)

Max Activating Token Index: 387

Text #7

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Data Index: 1374114 (Python Code)

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Text #8

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Data Index: 1562585 (Python Code)

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Text #9

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Data Index: 1569561 (Python Code)

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Text #10

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Data Index: 1469130 (Python Code)

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Text #11

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Data Index: 847905 (C4 (Web Text))

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Text #12

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Data Index: 1385666 (Python Code)

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Text #13

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Data Index: 1611060 (Python Code)

Max Activating Token Index: 634

Text #14

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Data Index: 1408776 (Python Code)

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Text #15

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Data Index: 278769 (C4 (Web Text))

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Text #16

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Data Index: 1402135 (Python Code)

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Text #17

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Text #18

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Max Act: 0.0160. Min Act: -0.0003

Data Index: 546306 (C4 (Web Text))

Max Activating Token Index: 56

Text #19

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Max Act: 0.0163. Min Act: -0.0002

Data Index: 1448655 (Python Code)

Max Activating Token Index: 541