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

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

Neuron 3723 in Layer 0

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

Text #0

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Max Act: 0.0108. Min Act: -0.0002

Data Index: 1472682 (Python Code)

Max Activating Token Index: 41

Text #1

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Max Act: 0.0103. Min Act: -0.0002

Data Index: 1453516 (Python Code)

Max Activating Token Index: 616

Text #2

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Max Act: 0.0102. Min Act: -0.0002

Data Index: 1386684 (Python Code)

Max Activating Token Index: 182

Text #3

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Max Act: 0.0101. Min Act: -0.0002

Data Index: 1543680 (Python Code)

Max Activating Token Index: 849

Text #4

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Max Act: 0.0097. Min Act: -0.0002

Data Index: 1444614 (Python Code)

Max Activating Token Index: 808

Text #5

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Max Act: 0.0097. Min Act: -0.0002

Data Index: 1524711 (Python Code)

Max Activating Token Index: 297

Text #6

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Data Index: 1585724 (Python Code)

Max Activating Token Index: 291

Text #7

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Data Index: 1523181 (Python Code)

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Text #8

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Data Index: 1644376 (Python Code)

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Text #9

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Data Index: 1370923 (Python Code)

Max Activating Token Index: 127

Text #10

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Data Index: 1648495 (Python Code)

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Text #11

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Data Index: 1391020 (Python Code)

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Text #12

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Data Index: 1511347 (Python Code)

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Text #13

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Data Index: 1469854 (Python Code)

Max Activating Token Index: 491

Text #14

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Data Index: 1479163 (Python Code)

Max Activating Token Index: 581

Text #15

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Data Index: 1568923 (Python Code)

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Text #16

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Data Index: 1475925 (Python Code)

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Text #17

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Data Index: 1617185 (Python Code)

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Text #18

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Data Index: 1524077 (Python Code)

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Text #19

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Max Act: 0.0092. Min Act: -0.0002

Data Index: 1475731 (Python Code)

Max Activating Token Index: 3