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

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

Neuron 2 in Layer 3

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

Text #0

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Max Act: 0.1584. Min Act: -0.0002

Data Index: 1518425 (Python Code)

Max Activating Token Index: 95

Text #1

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Data Index: 1419084 (Python Code)

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Text #2

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Data Index: 1482829 (Python Code)

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Text #3

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Data Index: 1568254 (Python Code)

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Text #4

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Data Index: 1520001 (Python Code)

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Text #5

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Data Index: 1555949 (Python Code)

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Text #6

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Data Index: 1497238 (Python Code)

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Data Index: 1584915 (Python Code)

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Text #8

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Data Index: 1647985 (Python Code)

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Data Index: 1544872 (Python Code)

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Data Index: 1523816 (Python Code)

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Data Index: 1438040 (Python Code)

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Data Index: 1611884 (Python Code)

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Text #13

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Data Index: 1447989 (Python Code)

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Text #14

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Data Index: 1498827 (Python Code)

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Text #15

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Data Index: 1617392 (Python Code)

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Text #16

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Data Index: 1584825 (Python Code)

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Text #18

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Data Index: 1644119 (Python Code)

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Text #19

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Data Index: 1623631 (Python Code)

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