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

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

Neuron 3551 in Layer 3

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



Text #0

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Max Act: 1.6669. Min Act: -0.0001

Data Index: 1534750 (Python Code)

Max Activating Token Index: 43

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Text #1

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Max Act: 1.9501. Min Act: -0.0001

Data Index: 1452357 (Python Code)

Max Activating Token Index: 34

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Text #2

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Max Act: 1.7048. Min Act: -0.0001

Data Index: 1412298 (Python Code)

Max Activating Token Index: 858

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Text #3

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Max Act: 1.6540. Min Act: -0.0001

Data Index: 1513683 (Python Code)

Max Activating Token Index: 35

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Text #4

Max Range: 1.9501. Min Range: -1.9501

Max Act: 1.6640. Min Act: -0.0001

Data Index: 705382 (C4 (Web Text))

Max Activating Token Index: 837

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Text #5

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Data Index: 1523657 (Python Code)

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Data Index: 1493734 (Python Code)

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Text #7

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Data Index: 1064014 (C4 (Web Text))

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Text #8

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Data Index: 1374606 (Python Code)

Max Activating Token Index: 943

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Text #9

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Data Index: 1498721 (Python Code)

Max Activating Token Index: 761

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Text #10

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Data Index: 1542829 (Python Code)

Max Activating Token Index: 41

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Text #11

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Data Index: 1582275 (Python Code)

Max Activating Token Index: 759

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Text #12

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Data Index: 1520098 (Python Code)

Max Activating Token Index: 32

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Text #13

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Data Index: 1373560 (Python Code)

Max Activating Token Index: 53

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Text #14

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Data Index: 1562185 (Python Code)

Max Activating Token Index: 843

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Text #15

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Data Index: 1560430 (Python Code)

Max Activating Token Index: 991

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Text #16

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Data Index: 1648150 (Python Code)

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Text #17

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Data Index: 1635293 (Python Code)

Max Activating Token Index: 901

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Text #18

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Data Index: 1405305 (Python Code)

Max Activating Token Index: 967

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Text #19

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Max Act: 1.7262. Min Act: -0.0001

Data Index: 1516410 (Python Code)

Max Activating Token Index: 53

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