Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3982 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0444. Min Act: -0.0002

Data Index: 1498307 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0444. Min Act: -0.0002

Data Index: 1488086 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0443. Min Act: -0.0002

Data Index: 1577159 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0443. Min Act: -0.0002

Data Index: 1432136 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0442. Min Act: -0.0002

Data Index: 1515527 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0442. Min Act: -0.0002

Data Index: 1610082 (Python Code)

Max Activating Token Index: 1023

Text #6

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Data Index: 1393780 (Python Code)

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Text #7

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Data Index: 1447971 (Python Code)

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Text #8

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Data Index: 1371192 (Python Code)

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Text #9

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Data Index: 1615543 (Python Code)

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Text #10

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Data Index: 1391273 (Python Code)

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Text #11

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Data Index: 1567506 (Python Code)

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Text #12

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Data Index: 1278283 (C4 (Web Text))

Max Activating Token Index: 1023

Text #13

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Data Index: 961099 (C4 (Web Text))

Max Activating Token Index: 1023

Text #14

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Data Index: 1536109 (Python Code)

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Text #15

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Data Index: 1573840 (Python Code)

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Text #16

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Text #17

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Data Index: 1402158 (Python Code)

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Text #18

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Data Index: 1615315 (Python Code)

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Text #19

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Max Act: 0.0264. Min Act: -0.0002

Data Index: 1370468 (Python Code)

Max Activating Token Index: 1023