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

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

Neuron 543 in Layer 0

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

Text #0

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Max Act: 0.0193. Min Act: -0.0002

Data Index: 1518006 (Python Code)

Max Activating Token Index: 12

Text #1

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Max Act: 0.0171. Min Act: -0.0002

Data Index: 1510304 (Python Code)

Max Activating Token Index: 282

Text #2

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Max Act: 0.0170. Min Act: -0.0002

Data Index: 1473032 (Python Code)

Max Activating Token Index: 65

Text #3

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Max Act: 0.0166. Min Act: -0.0002

Data Index: 1475305 (Python Code)

Max Activating Token Index: 64

Text #4

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Max Act: 0.0164. Min Act: -0.0002

Data Index: 1447727 (Python Code)

Max Activating Token Index: 138

Text #5

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Max Act: 0.0160. Min Act: -0.0002

Data Index: 1382615 (Python Code)

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Text #6

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Data Index: 1485809 (Python Code)

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Text #7

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Data Index: 1458523 (Python Code)

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Text #8

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Data Index: 1453229 (Python Code)

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Text #9

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Data Index: 1577179 (Python Code)

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Text #10

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Data Index: 1407263 (Python Code)

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Text #11

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Data Index: 1473963 (Python Code)

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Text #12

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Data Index: 1574699 (Python Code)

Max Activating Token Index: 604

Text #13

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Data Index: 1630118 (Python Code)

Max Activating Token Index: 55

Text #14

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Data Index: 1500759 (Python Code)

Max Activating Token Index: 630

Text #15

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Data Index: 1585431 (Python Code)

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Text #16

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Data Index: 1378817 (Python Code)

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Text #17

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Data Index: 1556757 (Python Code)

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Text #18

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Data Index: 1455882 (Python Code)

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Text #19

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Max Act: 0.0152. Min Act: -0.0002

Data Index: 1561499 (Python Code)

Max Activating Token Index: 418