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

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

Neuron 3113 in Layer 0

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

Text #0

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Max Act: 0.0447. Min Act: -0.0002

Data Index: 1640680 (Python Code)

Max Activating Token Index: 29

Text #1

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Max Act: 0.0275. Min Act: -0.0001

Data Index: 1450574 (Python Code)

Max Activating Token Index: 269

Text #2

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Max Act: 0.0265. Min Act: -0.0002

Data Index: 1643029 (Python Code)

Max Activating Token Index: 201

Text #3

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Max Act: 0.0261. Min Act: -0.0001

Data Index: 1481856 (Python Code)

Max Activating Token Index: 694

Text #4

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Max Act: 0.0258. Min Act: -0.0002

Data Index: 1388422 (Python Code)

Max Activating Token Index: 480

Text #5

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Data Index: 1596454 (Python Code)

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Text #6

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Data Index: 1639702 (Python Code)

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Text #7

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Data Index: 1475393 (Python Code)

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Text #8

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Data Index: 1449422 (Python Code)

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Text #9

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Data Index: 1499036 (Python Code)

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Text #10

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Data Index: 1572626 (Python Code)

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Text #11

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Data Index: 1427395 (Python Code)

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Text #12

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Data Index: 1591269 (Python Code)

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Text #13

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Data Index: 1446668 (Python Code)

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Text #14

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Data Index: 1409000 (Python Code)

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Text #15

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Data Index: 1418788 (Python Code)

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Text #16

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Data Index: 1544210 (Python Code)

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Text #17

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Data Index: 1570775 (Python Code)

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Text #18

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Data Index: 1655657 (Python Code)

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Text #19

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Data Index: 1633015 (Python Code)

Max Activating Token Index: 20