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

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

Neuron 580 in Layer 0

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

Text #0

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Max Act: 0.0112. Min Act: -0.0002

Data Index: 1511463 (Python Code)

Max Activating Token Index: 976

Text #1

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Max Act: 0.0112. Min Act: -0.0002

Data Index: 1544760 (Python Code)

Max Activating Token Index: 658

Text #2

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Max Act: 0.0112. Min Act: -0.0002

Data Index: 1652434 (Python Code)

Max Activating Token Index: 366

Text #3

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Max Act: 0.0111. Min Act: -0.0002

Data Index: 1574385 (Python Code)

Max Activating Token Index: 639

Text #4

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Max Act: 0.0110. Min Act: -0.0002

Data Index: 1537824 (Python Code)

Max Activating Token Index: 332

Text #5

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Max Act: 0.0110. Min Act: -0.0002

Data Index: 1483973 (Python Code)

Max Activating Token Index: 105

Text #6

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Data Index: 1494734 (Python Code)

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Text #7

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Data Index: 1451723 (Python Code)

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Text #8

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Data Index: 1508425 (Python Code)

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Text #9

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Data Index: 1521119 (Python Code)

Max Activating Token Index: 46

Text #10

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Data Index: 1468666 (Python Code)

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Text #11

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Data Index: 1579243 (Python Code)

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Text #12

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Data Index: 1615579 (Python Code)

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Text #13

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Data Index: 1526700 (Python Code)

Max Activating Token Index: 422

Text #14

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Data Index: 1581316 (Python Code)

Max Activating Token Index: 738

Text #15

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Data Index: 1425136 (Python Code)

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Text #16

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Data Index: 1433291 (Python Code)

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Text #17

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Data Index: 1506977 (Python Code)

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Text #18

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Data Index: 1490547 (Python Code)

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Text #19

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Data Index: 1363116 (Python Code)

Max Activating Token Index: 808