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

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

Neuron 1047 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: 1644715 (Python Code)

Max Activating Token Index: 56

Text #1

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Max Act: 0.0109. Min Act: -0.0002

Data Index: 1122801 (C4 (Web Text))

Max Activating Token Index: 18

Text #2

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Max Act: 0.0110. Min Act: -0.0002

Data Index: 1502837 (Python Code)

Max Activating Token Index: 97

Text #3

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Max Act: 0.0110. Min Act: -0.0002

Data Index: 1492007 (Python Code)

Max Activating Token Index: 828

Text #4

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Max Act: 0.0112. Min Act: -0.0002

Data Index: 1295599 (C4 (Web Text))

Max Activating Token Index: 188

Text #5

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Max Act: 0.0110. Min Act: -0.0002

Data Index: 430681 (C4 (Web Text))

Max Activating Token Index: 133

Text #6

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Data Index: 1614575 (Python Code)

Max Activating Token Index: 302

Text #7

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Data Index: 1391203 (Python Code)

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Text #8

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Data Index: 1505526 (Python Code)

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Text #9

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Data Index: 1617314 (Python Code)

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Text #10

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Data Index: 1418500 (Python Code)

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Text #11

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Max Activating Token Index: 19

Text #12

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Text #13

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Data Index: 1639948 (Python Code)

Max Activating Token Index: 13

Text #14

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Data Index: 1407060 (Python Code)

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Text #15

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Data Index: 1646414 (Python Code)

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Text #16

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Text #17

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Data Index: 1635285 (Python Code)

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Text #18

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Data Index: 1637777 (Python Code)

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Text #19

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Data Index: 1386159 (Python Code)

Max Activating Token Index: 159