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

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

Neuron 3571 in Layer 0

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

Text #0

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Max Act: 0.0891. Min Act: -0.0001

Data Index: 1462685 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0886. Min Act: -0.0002

Data Index: 1416618 (Python Code)

Max Activating Token Index: 76

Text #2

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Max Act: 0.0868. Min Act: -0.0002

Data Index: 1500547 (Python Code)

Max Activating Token Index: 26

Text #3

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Max Act: 0.0863. Min Act: -0.0002

Data Index: 1614355 (Python Code)

Max Activating Token Index: 95

Text #4

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Max Act: 0.0846. Min Act: -0.0002

Data Index: 1372589 (Python Code)

Max Activating Token Index: 15

Text #5

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Max Act: 0.0835. Min Act: -0.0002

Data Index: 1499879 (Python Code)

Max Activating Token Index: 286

Text #6

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Data Index: 1475590 (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: 1530517 (Python Code)

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Text #9

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Data Index: 1536113 (Python Code)

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Text #10

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Data Index: 1422751 (Python Code)

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Text #11

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Data Index: 1516356 (Python Code)

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Text #12

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Data Index: 1439474 (Python Code)

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Text #13

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Data Index: 1395968 (Python Code)

Max Activating Token Index: 248

Text #14

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Data Index: 1431982 (Python Code)

Max Activating Token Index: 330

Text #15

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Data Index: 1574198 (Python Code)

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Text #16

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Data Index: 1652617 (Python Code)

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Text #17

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Data Index: 1401962 (Python Code)

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Text #18

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Data Index: 1529716 (Python Code)

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Text #19

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Data Index: 1383439 (Python Code)

Max Activating Token Index: 49