Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 789 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0048. Min Act: -0.0005

Data Index: 1534184 (Python Code)

Max Activating Token Index: 377

Text #1

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Max Act: 0.0045. Min Act: -0.0006

Data Index: 1385598 (Python Code)

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Text #2

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Data Index: 1638959 (Python Code)

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Text #3

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Data Index: 1654673 (Python Code)

Max Activating Token Index: 364

Text #4

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Max Act: 0.0044. Min Act: -0.0006

Data Index: 1576914 (Python Code)

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Text #5

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Data Index: 1440385 (Python Code)

Max Activating Token Index: 1023

Text #6

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Data Index: 1443537 (Python Code)

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Text #7

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Data Index: 1500972 (Python Code)

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Text #8

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Data Index: 1615411 (Python Code)

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Text #9

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Data Index: 1490814 (Python Code)

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Text #10

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Data Index: 1487307 (Python Code)

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Text #11

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Data Index: 1546037 (Python Code)

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Text #12

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Data Index: 1630076 (Python Code)

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Text #13

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Data Index: 1605088 (Python Code)

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Text #14

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Data Index: 1621730 (Python Code)

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Text #15

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Data Index: 1571596 (Python Code)

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Text #16

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Data Index: 1390870 (Python Code)

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Text #17

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Text #18

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Data Index: 1369214 (Python Code)

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Text #19

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Data Index: 1556523 (Python Code)

Max Activating Token Index: 1023