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

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

Neuron 4873 in Layer 0

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

Text #0

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Max Act: 0.0980. Min Act: -0.0001

Data Index: 1443097 (Python Code)

Max Activating Token Index: 96

Text #1

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Max Act: 0.0913. Min Act: -0.0001

Data Index: 1608893 (Python Code)

Max Activating Token Index: 57

Text #2

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Max Act: 0.0826. Min Act: -0.0001

Data Index: 1612856 (Python Code)

Max Activating Token Index: 35

Text #3

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Max Act: 0.0794. Min Act: -0.0001

Data Index: 1525163 (Python Code)

Max Activating Token Index: 9

Text #4

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Max Act: 0.0771. Min Act: -0.0002

Data Index: 1650700 (Python Code)

Max Activating Token Index: 100

Text #5

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Max Act: 0.0759. Min Act: -0.0001

Data Index: 1578573 (Python Code)

Max Activating Token Index: 258

Text #6

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Data Index: 1483534 (Python Code)

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Text #7

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Data Index: 1637096 (Python Code)

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Text #8

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Data Index: 1482921 (Python Code)

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Text #9

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Data Index: 1577648 (Python Code)

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Text #10

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Data Index: 1513425 (Python Code)

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Text #11

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Data Index: 1420041 (Python Code)

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Text #12

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Data Index: 1514714 (Python Code)

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Text #13

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Data Index: 1587167 (Python Code)

Max Activating Token Index: 450

Text #14

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Data Index: 1439127 (Python Code)

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Text #15

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Data Index: 1457417 (Python Code)

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Text #16

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Data Index: 1539793 (Python Code)

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Text #17

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Data Index: 1567828 (Python Code)

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Text #18

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Data Index: 1517860 (Python Code)

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Text #19

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Data Index: 1562266 (Python Code)

Max Activating Token Index: 1012