Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 101 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.1202. Min Act: -0.0003

Data Index: 1362258 (Python Code)

Max Activating Token Index: 67

Text #1

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Max Act: 0.1139. Min Act: -0.0003

Data Index: 1537102 (Python Code)

Max Activating Token Index: 126

Text #2

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Max Act: 0.1074. Min Act: -0.0003

Data Index: 1469707 (Python Code)

Max Activating Token Index: 72

Text #3

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Max Act: 0.1067. Min Act: -0.0003

Data Index: 1481749 (Python Code)

Max Activating Token Index: 79

Text #4

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Max Act: 0.1118. Min Act: -0.0003

Data Index: 1440843 (Python Code)

Max Activating Token Index: 95

Text #5

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Max Act: 0.1048. Min Act: -0.0003

Data Index: 1434719 (Python Code)

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Text #6

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Data Index: 1384034 (Python Code)

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Data Index: 1374045 (Python Code)

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Text #8

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Data Index: 1379839 (Python Code)

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Text #9

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Data Index: 1613121 (Python Code)

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Text #10

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Data Index: 1451029 (Python Code)

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Text #11

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Data Index: 1575305 (Python Code)

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Text #12

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Data Index: 1577321 (Python Code)

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Text #13

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Data Index: 1565991 (Python Code)

Max Activating Token Index: 56

Text #14

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Data Index: 1637426 (Python Code)

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Text #15

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Data Index: 1633534 (Python Code)

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Text #16

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Data Index: 1434634 (Python Code)

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Text #17

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Data Index: 1544334 (Python Code)

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Text #18

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Data Index: 1464792 (Python Code)

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Text #19

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Max Act: 0.0941. Min Act: -0.0003

Data Index: 1569562 (Python Code)

Max Activating Token Index: 74