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

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

Neuron 4927 in Layer 0

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

Text #0

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Max Act: 0.0076. Min Act: -0.0002

Data Index: 1590893 (Python Code)

Max Activating Token Index: 142

Text #1

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Max Act: 0.0074. Min Act: -0.0002

Data Index: 1654656 (Python Code)

Max Activating Token Index: 158

Text #2

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Max Act: 0.0073. Min Act: -0.0002

Data Index: 1633788 (Python Code)

Max Activating Token Index: 83

Text #3

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Max Act: 0.0072. Min Act: -0.0002

Data Index: 1557085 (Python Code)

Max Activating Token Index: 23

Text #4

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Max Act: 0.0072. Min Act: -0.0002

Data Index: 1548753 (Python Code)

Max Activating Token Index: 324

Text #5

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Max Act: 0.0071. Min Act: -0.0002

Data Index: 1472742 (Python Code)

Max Activating Token Index: 40

Text #6

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Data Index: 1432038 (Python Code)

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Text #7

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Data Index: 1554675 (Python Code)

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Text #8

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Data Index: 1394682 (Python Code)

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Text #9

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Data Index: 1536037 (Python Code)

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Text #10

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Data Index: 1367753 (Python Code)

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Text #11

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Data Index: 1472064 (Python Code)

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Text #12

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Data Index: 1378830 (Python Code)

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Text #13

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Data Index: 1569677 (Python Code)

Max Activating Token Index: 123

Text #14

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Data Index: 1413996 (Python Code)

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Text #15

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Data Index: 1568213 (Python Code)

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Text #16

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Data Index: 1394010 (Python Code)

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Text #17

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Data Index: 1440215 (Python Code)

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Text #18

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Data Index: 1578179 (Python Code)

Max Activating Token Index: 292

Text #19

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Max Act: 0.0069. Min Act: -0.0002

Data Index: 1446335 (Python Code)

Max Activating Token Index: 18