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

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

Neuron 38 in Layer 0

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

Text #0

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Max Act: 0.0007. Min Act: -0.0002

Data Index: 54199 (C4 (Web Text))

Max Activating Token Index: 348

Text #1

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Data Index: 1301979 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Data Index: 929192 (C4 (Web Text))

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0005. Min Act: -0.0002

Data Index: 912676 (C4 (Web Text))

Max Activating Token Index: 1018

Text #4

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Max Act: 0.0005. Min Act: -0.0002

Data Index: 5942 (C4 (Web Text))

Max Activating Token Index: 1023

Text #5

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Data Index: 1395072 (Python Code)

Max Activating Token Index: 1023

Text #6

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Data Index: 1544134 (Python Code)

Max Activating Token Index: 1023

Text #7

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Data Index: 29005 (C4 (Web Text))

Max Activating Token Index: 1023

Text #8

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Data Index: 1239679 (C4 (Web Text))

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Text #9

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Data Index: 1029715 (C4 (Web Text))

Max Activating Token Index: 44

Text #10

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Data Index: 1500654 (Python Code)

Max Activating Token Index: 1023

Text #11

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Data Index: 1544640 (Python Code)

Max Activating Token Index: 1023

Text #12

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Data Index: 1423151 (Python Code)

Max Activating Token Index: 1023

Text #13

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Data Index: 1588738 (Python Code)

Max Activating Token Index: 1023

Text #14

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Data Index: 1600345 (Python Code)

Max Activating Token Index: 1023

Text #15

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Data Index: 1403419 (Python Code)

Max Activating Token Index: 1023

Text #16

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Data Index: 1528315 (Python Code)

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Text #17

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Data Index: 1591810 (Python Code)

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Text #18

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Data Index: 1653907 (Python Code)

Max Activating Token Index: 1023

Text #19

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Max Act: 0.0004. Min Act: -0.0001

Data Index: 1640792 (Python Code)

Max Activating Token Index: 1023