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

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

Neuron 2438 in Layer 4

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

Text #0

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Max Act: 0.1201. Min Act: -0.0001

Data Index: 1445603 (Python Code)

Max Activating Token Index: 907

Text #1

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Max Act: 0.1138. Min Act: -0.0001

Data Index: 1372740 (Python Code)

Max Activating Token Index: 496

Text #2

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Max Act: 0.1097. Min Act: -0.0001

Data Index: 1521604 (Python Code)

Max Activating Token Index: 565

Text #3

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Max Act: 0.1024. Min Act: -0.0001

Data Index: 1416250 (Python Code)

Max Activating Token Index: 812

Text #4

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Max Act: 0.1053. Min Act: -0.0001

Data Index: 1627903 (Python Code)

Max Activating Token Index: 507

Text #5

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Max Act: 0.0957. Min Act: -0.0001

Data Index: 1418357 (Python Code)

Max Activating Token Index: 452

Text #6

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Data Index: 1569632 (Python Code)

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Text #7

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Data Index: 1410478 (Python Code)

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Text #8

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Data Index: 1365067 (Python Code)

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Text #9

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Data Index: 1377775 (Python Code)

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Text #10

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Data Index: 1551656 (Python Code)

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Text #11

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Data Index: 1424132 (Python Code)

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Text #12

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Data Index: 1419629 (Python Code)

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Text #13

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Data Index: 1501637 (Python Code)

Max Activating Token Index: 707

Text #14

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Data Index: 1489456 (Python Code)

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Text #15

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Data Index: 1467119 (Python Code)

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Text #16

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Data Index: 1607177 (Python Code)

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Text #17

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Data Index: 1630554 (Python Code)

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Text #18

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Data Index: 1635850 (Python Code)

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Text #19

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Data Index: 1475799 (Python Code)

Max Activating Token Index: 57