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

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

Neuron 1010 in Layer 2

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

Text #0

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Max Act: 0.1043. Min Act: -0.0002

Data Index: 1502976 (Python Code)

Max Activating Token Index: 578

Text #1

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Max Act: 0.0738. Min Act: -0.0002

Data Index: 1531306 (Python Code)

Max Activating Token Index: 626

Text #2

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Max Act: 0.0889. Min Act: -0.0002

Data Index: 1606723 (Python Code)

Max Activating Token Index: 831

Text #3

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Max Act: 0.0859. Min Act: -0.0002

Data Index: 1465637 (Python Code)

Max Activating Token Index: 116

Text #4

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Max Act: 0.0746. Min Act: -0.0002

Data Index: 1651268 (Python Code)

Max Activating Token Index: 752

Text #5

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Max Act: 0.0782. Min Act: -0.0002

Data Index: 1428660 (Python Code)

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Text #6

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Data Index: 1488210 (Python Code)

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Text #7

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Data Index: 1467673 (Python Code)

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Text #8

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Data Index: 1561133 (Python Code)

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Text #9

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Data Index: 1648058 (Python Code)

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Text #10

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Data Index: 1518194 (Python Code)

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Text #11

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Data Index: 1501837 (Python Code)

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Text #12

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Data Index: 1399984 (Python Code)

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Text #13

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Data Index: 1619655 (Python Code)

Max Activating Token Index: 51

Text #14

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Data Index: 1424226 (Python Code)

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Text #15

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Data Index: 1546568 (Python Code)

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Text #16

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Data Index: 1388818 (Python Code)

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Text #17

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Data Index: 1562749 (Python Code)

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Text #18

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Data Index: 1643400 (Python Code)

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Text #19

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Data Index: 1384990 (Python Code)

Max Activating Token Index: 398