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

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

Neuron 2669 in Layer 0

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

Text #0

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Max Act: 0.0166. Min Act: -0.0002

Data Index: 1484682 (Python Code)

Max Activating Token Index: 12

Text #1

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Max Act: 0.0154. Min Act: -0.0002

Data Index: 1385994 (Python Code)

Max Activating Token Index: 945

Text #2

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Max Act: 0.0154. Min Act: -0.0002

Data Index: 1469116 (Python Code)

Max Activating Token Index: 439

Text #3

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Max Act: 0.0152. Min Act: -0.0002

Data Index: 1622795 (Python Code)

Max Activating Token Index: 10

Text #4

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Max Act: 0.0149. Min Act: -0.0002

Data Index: 1534502 (Python Code)

Max Activating Token Index: 55

Text #5

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Max Act: 0.0146. Min Act: -0.0002

Data Index: 1647041 (Python Code)

Max Activating Token Index: 769

Text #6

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Data Index: 1412434 (Python Code)

Max Activating Token Index: 29

Text #7

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Data Index: 1571577 (Python Code)

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Text #8

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Data Index: 1412433 (Python Code)

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Text #9

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Data Index: 348392 (C4 (Web Text))

Max Activating Token Index: 555

Text #10

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Data Index: 1647732 (Python Code)

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Text #11

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Data Index: 1656413 (Python Code)

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Text #12

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Data Index: 1400779 (Python Code)

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Text #13

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Data Index: 1546733 (Python Code)

Max Activating Token Index: 85

Text #14

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Data Index: 1461832 (Python Code)

Max Activating Token Index: 53

Text #15

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Data Index: 1470836 (Python Code)

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Text #16

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Data Index: 1471963 (Python Code)

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Text #17

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Data Index: 1486216 (Python Code)

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Text #18

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Data Index: 1606561 (Python Code)

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Text #19

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Data Index: 1590733 (Python Code)

Max Activating Token Index: 88