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

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

Neuron 5055 in Layer 0

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

Text #0

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Max Act: 0.0434. Min Act: -0.0001

Data Index: 1586728 (Python Code)

Max Activating Token Index: 168

Text #1

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Max Act: 0.0429. Min Act: -0.0002

Data Index: 1514902 (Python Code)

Max Activating Token Index: 786

Text #2

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Max Act: 0.0420. Min Act: -0.0002

Data Index: 1570490 (Python Code)

Max Activating Token Index: 64

Text #3

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Max Act: 0.0406. Min Act: -0.0001

Data Index: 1571231 (Python Code)

Max Activating Token Index: 721

Text #4

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Max Act: 0.0413. Min Act: -0.0001

Data Index: 1494022 (Python Code)

Max Activating Token Index: 261

Text #5

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Max Act: 0.0408. Min Act: -0.0001

Data Index: 1571725 (Python Code)

Max Activating Token Index: 118

Text #6

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Data Index: 1596632 (Python Code)

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Text #7

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Data Index: 1444822 (Python Code)

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Text #8

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Data Index: 1427002 (Python Code)

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Text #9

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Data Index: 1522585 (Python Code)

Max Activating Token Index: 680

Text #10

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Data Index: 1507769 (Python Code)

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Text #11

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Data Index: 1652313 (Python Code)

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Text #12

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Data Index: 1537275 (Python Code)

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Text #13

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Data Index: 1640989 (Python Code)

Max Activating Token Index: 189

Text #14

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Data Index: 1556758 (Python Code)

Max Activating Token Index: 388

Text #15

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Data Index: 1520848 (Python Code)

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Text #16

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Data Index: 1631505 (Python Code)

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Text #17

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Data Index: 1538957 (Python Code)

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Text #18

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Data Index: 1613827 (Python Code)

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Text #19

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Data Index: 1648650 (Python Code)

Max Activating Token Index: 1001