Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 915 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0995. Min Act: -0.0002

Data Index: 1612996 (Python Code)

Max Activating Token Index: 684

Text #1

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Max Act: 0.0970. Min Act: -0.0002

Data Index: 1418052 (Python Code)

Max Activating Token Index: 562

Text #2

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Max Act: 0.0958. Min Act: -0.0002

Data Index: 1552481 (Python Code)

Max Activating Token Index: 102

Text #3

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Max Act: 0.0888. Min Act: -0.0002

Data Index: 1400159 (Python Code)

Max Activating Token Index: 348

Text #4

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Max Act: 0.0949. Min Act: -0.0002

Data Index: 1498335 (Python Code)

Max Activating Token Index: 503

Text #5

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Max Act: 0.0917. Min Act: -0.0002

Data Index: 1456039 (Python Code)

Max Activating Token Index: 766

Text #6

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Data Index: 1411619 (Python Code)

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Text #7

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Data Index: 1555117 (Python Code)

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Text #8

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Data Index: 1424734 (Python Code)

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Text #9

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Data Index: 1609888 (Python Code)

Max Activating Token Index: 389

Text #10

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Data Index: 1386709 (Python Code)

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Text #11

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Data Index: 1626014 (Python Code)

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Text #12

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Data Index: 1443728 (Python Code)

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Text #13

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Data Index: 1634305 (Python Code)

Max Activating Token Index: 228

Text #14

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Data Index: 1366009 (Python Code)

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Text #15

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Data Index: 1373559 (Python Code)

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Text #16

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Data Index: 1568312 (Python Code)

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Text #17

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Data Index: 1585876 (Python Code)

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Text #18

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Data Index: 1562843 (Python Code)

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Text #19

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Data Index: 1596793 (Python Code)

Max Activating Token Index: 945