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

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

Neuron 228 in Layer 2

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

Text #0

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Max Act: 0.0361. Min Act: -0.0002

Data Index: 1514418 (Python Code)

Max Activating Token Index: 618

Text #1

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Max Act: 0.0309. Min Act: -0.0002

Data Index: 1428427 (Python Code)

Max Activating Token Index: 350

Text #2

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Max Act: 0.0297. Min Act: -0.0002

Data Index: 1453488 (Python Code)

Max Activating Token Index: 355

Text #3

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Max Act: 0.0279. Min Act: -0.0002

Data Index: 1428159 (Python Code)

Max Activating Token Index: 496

Text #4

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Max Act: 0.0290. Min Act: -0.0002

Data Index: 1460341 (Python Code)

Max Activating Token Index: 98

Text #5

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Data Index: 1480750 (Python Code)

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Text #6

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Data Index: 1502711 (Python Code)

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Text #7

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Data Index: 1618958 (Python Code)

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Text #8

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Data Index: 1506187 (Python Code)

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Text #9

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Data Index: 1413786 (Python Code)

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Text #10

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Data Index: 1482882 (Python Code)

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Text #11

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Data Index: 1600290 (Python Code)

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Text #12

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Data Index: 1390890 (Python Code)

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Text #13

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Data Index: 1620120 (Python Code)

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Text #14

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Data Index: 1524950 (Python Code)

Max Activating Token Index: 5

Text #15

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Data Index: 1550720 (Python Code)

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Text #16

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Data Index: 1366060 (Python Code)

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Text #17

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Data Index: 1610192 (Python Code)

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Text #18

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Data Index: 1584166 (Python Code)

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Text #19

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Data Index: 1490683 (Python Code)

Max Activating Token Index: 58