Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 184 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0189. Min Act: -0.0003

Data Index: 1606429 (Python Code)

Max Activating Token Index: 18

Text #1

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Max Act: 0.0188. Min Act: -0.0002

Data Index: 1437233 (Python Code)

Max Activating Token Index: 185

Text #2

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Max Act: 0.0184. Min Act: -0.0002

Data Index: 1419134 (Python Code)

Max Activating Token Index: 62

Text #3

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Max Act: 0.0179. Min Act: -0.0002

Data Index: 1477661 (Python Code)

Max Activating Token Index: 208

Text #4

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Max Act: 0.0179. Min Act: -0.0002

Data Index: 1453197 (Python Code)

Max Activating Token Index: 39

Text #5

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Max Act: 0.0179. Min Act: -0.0002

Data Index: 1486589 (Python Code)

Max Activating Token Index: 26

Text #6

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Data Index: 1537760 (Python Code)

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Text #7

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Data Index: 1446972 (Python Code)

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Text #8

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Data Index: 1381756 (Python Code)

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Text #9

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Data Index: 1447813 (Python Code)

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Text #10

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Data Index: 1625062 (Python Code)

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Text #11

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Data Index: 1389890 (Python Code)

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Text #12

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Data Index: 1511328 (Python Code)

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Text #13

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Data Index: 1633886 (Python Code)

Max Activating Token Index: 103

Text #14

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Data Index: 1429885 (Python Code)

Max Activating Token Index: 219

Text #15

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Data Index: 1403004 (Python Code)

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Text #16

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Data Index: 1466205 (Python Code)

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Text #17

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Data Index: 1499229 (Python Code)

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Text #18

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Data Index: 1415405 (Python Code)

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Text #19

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Max Act: 0.0165. Min Act: -0.0002

Data Index: 1611106 (Python Code)

Max Activating Token Index: 26