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

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

Neuron 828 in Layer 0

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

Text #0

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Max Act: 0.0603. Min Act: -0.0005

Data Index: 1620009 (Python Code)

Max Activating Token Index: 229

Text #1

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Data Index: 1381224 (Python Code)

Max Activating Token Index: 5

Text #2

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Data Index: 1376452 (Python Code)

Max Activating Token Index: 308

Text #3

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Max Act: 0.0502. Min Act: -0.0005

Data Index: 1425716 (Python Code)

Max Activating Token Index: 959

Text #4

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Max Act: 0.0512. Min Act: -0.0005

Data Index: 1641693 (Python Code)

Max Activating Token Index: 234

Text #5

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Data Index: 1620061 (Python Code)

Max Activating Token Index: 171

Text #6

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Data Index: 1580121 (Python Code)

Max Activating Token Index: 6

Text #7

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Data Index: 1593778 (Python Code)

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Text #8

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Data Index: 1523040 (Python Code)

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Text #9

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Data Index: 1412163 (Python Code)

Max Activating Token Index: 5

Text #10

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Data Index: 1487900 (Python Code)

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Text #11

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Data Index: 1564947 (Python Code)

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Text #12

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Data Index: 1617164 (Python Code)

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Text #13

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Data Index: 1526748 (Python Code)

Max Activating Token Index: 3

Text #14

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Data Index: 1495682 (Python Code)

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Text #15

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Data Index: 1482144 (Python Code)

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Text #16

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Data Index: 1508972 (Python Code)

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Text #17

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Data Index: 1488905 (Python Code)

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Text #18

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Data Index: 1434781 (Python Code)

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Text #19

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Data Index: 1576071 (Python Code)

Max Activating Token Index: 6