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

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

Neuron 4434 in Layer 0

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

Text #0

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Max Act: 0.0295. Min Act: -0.0002

Data Index: 1653137 (Python Code)

Max Activating Token Index: 85

Text #1

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Max Act: 0.0293. Min Act: -0.0002

Data Index: 1392073 (Python Code)

Max Activating Token Index: 15

Text #2

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Data Index: 1500843 (Python Code)

Max Activating Token Index: 68

Text #3

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Max Act: 0.0288. Min Act: -0.0002

Data Index: 1561298 (Python Code)

Max Activating Token Index: 103

Text #4

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Max Act: 0.0286. Min Act: -0.0002

Data Index: 653356 (C4 (Web Text))

Max Activating Token Index: 535

Text #5

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Max Act: 0.0285. Min Act: -0.0002

Data Index: 1637518 (Python Code)

Max Activating Token Index: 739

Text #6

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Data Index: 1559979 (Python Code)

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Text #7

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Data Index: 1494508 (Python Code)

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Text #8

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Data Index: 1561029 (Python Code)

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Text #9

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Data Index: 1482906 (Python Code)

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Text #10

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Data Index: 1442345 (Python Code)

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Text #11

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Data Index: 1586710 (Python Code)

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Text #12

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Data Index: 1478448 (Python Code)

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Text #13

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Data Index: 1578226 (Python Code)

Max Activating Token Index: 256

Text #14

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Data Index: 1481111 (Python Code)

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Text #15

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Data Index: 1412849 (Python Code)

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Text #16

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Data Index: 1601315 (Python Code)

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Text #17

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Data Index: 1476913 (Python Code)

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Text #18

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Data Index: 1524131 (Python Code)

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Text #19

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Data Index: 1498049 (Python Code)

Max Activating Token Index: 431