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

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

Neuron 795 in Layer 0

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

Text #0

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Max Act: 0.0140. Min Act: -0.0004

Data Index: 1577106 (Python Code)

Max Activating Token Index: 30

Text #1

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Max Act: 0.0137. Min Act: -0.0004

Data Index: 1384325 (Python Code)

Max Activating Token Index: 21

Text #2

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Max Act: 0.0137. Min Act: -0.0004

Data Index: 1600345 (Python Code)

Max Activating Token Index: 21

Text #3

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Max Act: 0.0136. Min Act: -0.0004

Data Index: 1481749 (Python Code)

Max Activating Token Index: 30

Text #4

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Max Act: 0.0136. Min Act: -0.0004

Data Index: 1362258 (Python Code)

Max Activating Token Index: 22

Text #5

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Max Act: 0.0136. Min Act: -0.0004

Data Index: 1371867 (Python Code)

Max Activating Token Index: 578

Text #6

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Data Index: 1569077 (Python Code)

Max Activating Token Index: 641

Text #7

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Data Index: 1375003 (Python Code)

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Text #8

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Data Index: 1482166 (Python Code)

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Text #9

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Data Index: 1451901 (Python Code)

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Text #10

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Data Index: 1541028 (Python Code)

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Text #11

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Data Index: 1402944 (Python Code)

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Text #12

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Data Index: 1523663 (Python Code)

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Text #13

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Data Index: 1423635 (Python Code)

Max Activating Token Index: 640

Text #14

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Data Index: 1478976 (Python Code)

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Text #15

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Data Index: 1535737 (Python Code)

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Text #16

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Data Index: 1536949 (Python Code)

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Text #17

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Data Index: 1375031 (Python Code)

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Text #18

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Data Index: 1511067 (Python Code)

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Text #19

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Max Act: 0.0129. Min Act: -0.0004

Data Index: 1391385 (Python Code)

Max Activating Token Index: 641