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

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

Neuron 2276 in Layer 0

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

Text #0

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Max Act: 0.0119. Min Act: -0.0002

Data Index: 1615268 (Python Code)

Max Activating Token Index: 18

Text #1

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Max Act: 0.0103. Min Act: -0.0002

Data Index: 1520933 (Python Code)

Max Activating Token Index: 64

Text #2

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Max Act: 0.0102. Min Act: -0.0002

Data Index: 1389258 (Python Code)

Max Activating Token Index: 10

Text #3

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Max Act: 0.0091. Min Act: -0.0002

Data Index: 1414177 (Python Code)

Max Activating Token Index: 516

Text #4

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Max Act: 0.0093. Min Act: -0.0002

Data Index: 1216395 (C4 (Web Text))

Max Activating Token Index: 241

Text #5

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Max Act: 0.0090. Min Act: -0.0002

Data Index: 1570483 (Python Code)

Max Activating Token Index: 10

Text #6

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Data Index: 1434345 (Python Code)

Max Activating Token Index: 16

Text #7

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Data Index: 1579135 (Python Code)

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Text #8

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Data Index: 278081 (C4 (Web Text))

Max Activating Token Index: 46

Text #9

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Data Index: 1268262 (C4 (Web Text))

Max Activating Token Index: 21

Text #10

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Data Index: 1601497 (Python Code)

Max Activating Token Index: 36

Text #11

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Data Index: 1447538 (Python Code)

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Text #12

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Data Index: 1465605 (Python Code)

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Text #13

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Data Index: 1610105 (Python Code)

Max Activating Token Index: 47

Text #14

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Data Index: 1551928 (Python Code)

Max Activating Token Index: 37

Text #15

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Data Index: 204652 (C4 (Web Text))

Max Activating Token Index: 141

Text #16

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Data Index: 1476930 (Python Code)

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Text #17

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Data Index: 949318 (C4 (Web Text))

Max Activating Token Index: 878

Text #18

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Data Index: 1624333 (Python Code)

Max Activating Token Index: 107

Text #19

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Max Act: 0.0081. Min Act: -0.0002

Data Index: 1508495 (Python Code)

Max Activating Token Index: 124