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

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

Neuron 5068 in Layer 0

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

Text #0

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Max Act: 0.0196. Min Act: -0.0002

Data Index: 1491088 (Python Code)

Max Activating Token Index: 788

Text #1

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Max Act: 0.0181. Min Act: -0.0002

Data Index: 1654026 (Python Code)

Max Activating Token Index: 692

Text #2

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Max Act: 0.0170. Min Act: -0.0002

Data Index: 1426875 (Python Code)

Max Activating Token Index: 8

Text #3

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Max Act: 0.0168. Min Act: -0.0002

Data Index: 1584683 (Python Code)

Max Activating Token Index: 28

Text #4

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Max Act: 0.0165. Min Act: -0.0002

Data Index: 1614682 (Python Code)

Max Activating Token Index: 909

Text #5

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Max Act: 0.0168. Min Act: -0.0002

Data Index: 1382086 (Python Code)

Max Activating Token Index: 354

Text #6

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Data Index: 1469175 (Python Code)

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Text #7

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Data Index: 1417290 (Python Code)

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Text #8

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Data Index: 1460617 (Python Code)

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Text #9

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Data Index: 1654061 (Python Code)

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Text #10

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Data Index: 1521668 (Python Code)

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Text #11

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Data Index: 1583825 (Python Code)

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Text #12

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Data Index: 1507841 (Python Code)

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Text #13

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Data Index: 1543996 (Python Code)

Max Activating Token Index: 285

Text #14

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Data Index: 1382025 (Python Code)

Max Activating Token Index: 713

Text #15

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Data Index: 1410343 (Python Code)

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Text #16

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Data Index: 1615123 (Python Code)

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Text #17

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Data Index: 1427920 (Python Code)

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Text #18

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Data Index: 1379642 (Python Code)

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Text #19

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Max Act: 0.0159. Min Act: -0.0002

Data Index: 1577842 (Python Code)

Max Activating Token Index: 637