Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1027 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.1018. Min Act: -0.0003

Data Index: 1554998 (Python Code)

Max Activating Token Index: 196

Text #1

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Max Act: 0.0906. Min Act: -0.0002

Data Index: 1483048 (Python Code)

Max Activating Token Index: 221

Text #2

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Max Act: 0.0911. Min Act: -0.0002

Data Index: 1404822 (Python Code)

Max Activating Token Index: 596

Text #3

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Max Act: 0.0827. Min Act: -0.0003

Data Index: 1642935 (Python Code)

Max Activating Token Index: 162

Text #4

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Max Act: 0.0813. Min Act: -0.0002

Data Index: 1571625 (Python Code)

Max Activating Token Index: 942

Text #5

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Max Act: 0.0775. Min Act: -0.0003

Data Index: 1640411 (Python Code)

Max Activating Token Index: 1009

Text #6

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Data Index: 1397598 (Python Code)

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Text #7

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Data Index: 1400404 (Python Code)

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Text #8

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Data Index: 1598258 (Python Code)

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Text #9

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Data Index: 1586732 (Python Code)

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Text #10

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Data Index: 1444995 (Python Code)

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Text #11

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Data Index: 1517752 (Python Code)

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Text #12

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Data Index: 1441123 (Python Code)

Max Activating Token Index: 482

Text #13

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Data Index: 1639237 (Python Code)

Max Activating Token Index: 50

Text #14

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Data Index: 1568659 (Python Code)

Max Activating Token Index: 466

Text #15

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Data Index: 1427565 (Python Code)

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Text #16

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Data Index: 1457444 (Python Code)

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Text #17

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Data Index: 1403398 (Python Code)

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Text #18

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Data Index: 1478992 (Python Code)

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Text #19

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Max Act: 0.0665. Min Act: -0.0002

Data Index: 1601442 (Python Code)

Max Activating Token Index: 960