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

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

Neuron 750 in Layer 0

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

Text #0

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Max Act: 0.0130. Min Act: -0.0002

Data Index: 1501100 (Python Code)

Max Activating Token Index: 65

Text #1

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Max Act: 0.0127. Min Act: -0.0002

Data Index: 1544797 (Python Code)

Max Activating Token Index: 7

Text #2

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Max Act: 0.0127. Min Act: -0.0002

Data Index: 1553946 (Python Code)

Max Activating Token Index: 9

Text #3

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Max Act: 0.0126. Min Act: -0.0002

Data Index: 1398090 (Python Code)

Max Activating Token Index: 14

Text #4

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Max Act: 0.0125. Min Act: -0.0002

Data Index: 1414718 (Python Code)

Max Activating Token Index: 159

Text #5

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Max Act: 0.0124. Min Act: -0.0002

Data Index: 1617357 (Python Code)

Max Activating Token Index: 118

Text #6

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Data Index: 1624411 (Python Code)

Max Activating Token Index: 189

Text #7

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Data Index: 1641339 (Python Code)

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Text #8

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Data Index: 1451242 (Python Code)

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Text #9

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Data Index: 1503567 (Python Code)

Max Activating Token Index: 129

Text #10

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Data Index: 1639660 (Python Code)

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Text #11

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Data Index: 1583770 (Python Code)

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Text #12

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Data Index: 1551298 (Python Code)

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Text #13

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Data Index: 1613082 (Python Code)

Max Activating Token Index: 9

Text #14

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Data Index: 1495483 (Python Code)

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Text #15

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Data Index: 1612033 (Python Code)

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Text #16

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Data Index: 1506127 (Python Code)

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Text #17

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Data Index: 1600294 (Python Code)

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Text #18

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Data Index: 1613312 (Python Code)

Max Activating Token Index: 494

Text #19

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Data Index: 1613745 (Python Code)

Max Activating Token Index: 35