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

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

Neuron 1708 in Layer 3

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

Text #0

Max Range: 1.1782. Min Range: -1.1782

Max Act: 0.9736. Min Act: -0.0001

Data Index: 1467091 (Python Code)

Max Activating Token Index: 99

Text #1

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Max Act: 1.1034. Min Act: -0.0001

Data Index: 1476169 (Python Code)

Max Activating Token Index: 28

Text #2

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Max Act: 1.1782. Min Act: -0.0001

Data Index: 1599691 (Python Code)

Max Activating Token Index: 32

Text #3

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Max Act: 1.0770. Min Act: -0.0001

Data Index: 1428997 (Python Code)

Max Activating Token Index: 39

Text #4

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Max Act: 1.0464. Min Act: -0.0001

Data Index: 1397355 (Python Code)

Max Activating Token Index: 464

Text #5

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Max Act: 1.1765. Min Act: -0.0001

Data Index: 1407426 (Python Code)

Max Activating Token Index: 392

Text #6

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Data Index: 1508874 (Python Code)

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Text #7

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Data Index: 1467706 (Python Code)

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Text #8

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Data Index: 1422880 (Python Code)

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Text #9

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Data Index: 1575077 (Python Code)

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Text #10

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Data Index: 1392807 (Python Code)

Max Activating Token Index: 838

Text #11

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Data Index: 1438045 (Python Code)

Max Activating Token Index: 272

Text #12

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Data Index: 1448278 (Python Code)

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Text #13

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Data Index: 1617768 (Python Code)

Max Activating Token Index: 764

Text #14

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Data Index: 1625546 (Python Code)

Max Activating Token Index: 742

Text #15

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Data Index: 1508501 (Python Code)

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Text #16

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Data Index: 1463324 (Python Code)

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Text #17

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Data Index: 1479937 (Python Code)

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Text #18

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Data Index: 1649517 (Python Code)

Max Activating Token Index: 57

Text #19

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Max Act: 0.9627. Min Act: -0.0001

Data Index: 1522838 (Python Code)

Max Activating Token Index: 380