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

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

Neuron 4326 in Layer 9

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

Text #0

Max Range: 1.0738. Min Range: -1.0738

Max Act: 1.0661. Min Act: -0.0000

Data Index: 1602692 (Python Code)

Max Activating Token Index: 206

Text #1

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Data Index: 1562242 (Python Code)

Max Activating Token Index: 21

Text #2

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Data Index: 1565934 (Python Code)

Max Activating Token Index: 281

Text #3

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Max Act: 0.9699. Min Act: -0.0000

Data Index: 1569216 (Python Code)

Max Activating Token Index: 996

Text #4

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Max Act: 0.9250. Min Act: -0.0000

Data Index: 1621034 (Python Code)

Max Activating Token Index: 965

Text #5

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Data Index: 1607921 (Python Code)

Max Activating Token Index: 138

Text #6

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Data Index: 1394328 (Python Code)

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Text #7

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Data Index: 1469653 (Python Code)

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Text #8

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Data Index: 1518234 (Python Code)

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Text #9

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Data Index: 1485796 (Python Code)

Max Activating Token Index: 83

Text #10

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Data Index: 1546716 (Python Code)

Max Activating Token Index: 666

Text #11

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Data Index: 1578102 (Python Code)

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Text #12

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Data Index: 1555096 (Python Code)

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Text #13

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Data Index: 1650847 (Python Code)

Max Activating Token Index: 551

Text #14

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Data Index: 1588926 (Python Code)

Max Activating Token Index: 744

Text #15

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Data Index: 1571488 (Python Code)

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Text #16

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Data Index: 1570988 (Python Code)

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Text #17

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Data Index: 1579625 (Python Code)

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Text #18

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Data Index: 1441712 (Python Code)

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Text #19

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Max Act: 0.7121. Min Act: -0.0000

Data Index: 1558177 (Python Code)

Max Activating Token Index: 327