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

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

Neuron 1041 in Layer 0

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

Text #0

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Max Act: 0.0396. Min Act: -0.0002

Data Index: 1579246 (Python Code)

Max Activating Token Index: 34

Text #1

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Max Act: 0.0369. Min Act: -0.0002

Data Index: 1620653 (Python Code)

Max Activating Token Index: 85

Text #2

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Max Act: 0.0368. Min Act: -0.0002

Data Index: 1365020 (Python Code)

Max Activating Token Index: 135

Text #3

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Max Act: 0.0372. Min Act: -0.0002

Data Index: 1591912 (Python Code)

Max Activating Token Index: 36

Text #4

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Max Act: 0.0376. Min Act: -0.0002

Data Index: 1646140 (Python Code)

Max Activating Token Index: 117

Text #5

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Max Act: 0.0367. Min Act: -0.0002

Data Index: 1617533 (Python Code)

Max Activating Token Index: 127

Text #6

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Data Index: 1482845 (Python Code)

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Text #7

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Data Index: 1508984 (Python Code)

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Text #8

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Data Index: 1486820 (Python Code)

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Text #9

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Data Index: 1386241 (Python Code)

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Text #10

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Data Index: 1408017 (Python Code)

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Text #11

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Data Index: 1421220 (Python Code)

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Text #12

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Data Index: 1475750 (Python Code)

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Text #13

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Data Index: 1511280 (Python Code)

Max Activating Token Index: 830

Text #14

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Data Index: 1637982 (Python Code)

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Text #15

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Data Index: 1517117 (Python Code)

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Text #16

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Data Index: 1582922 (Python Code)

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Text #17

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Data Index: 1652600 (Python Code)

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Text #18

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Data Index: 1630024 (Python Code)

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Text #19

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Data Index: 1510414 (Python Code)

Max Activating Token Index: 612