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

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

Neuron 584 in Layer 0

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

Text #0

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Max Act: 0.0111. Min Act: -0.0005

Data Index: 1474712 (Python Code)

Max Activating Token Index: 501

Text #1

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Max Act: 0.0102. Min Act: -0.0006

Data Index: 1482305 (Python Code)

Max Activating Token Index: 3

Text #2

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Data Index: 1465915 (Python Code)

Max Activating Token Index: 3

Text #3

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Max Act: 0.0102. Min Act: -0.0006

Data Index: 1618134 (Python Code)

Max Activating Token Index: 3

Text #4

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Max Act: 0.0100. Min Act: -0.0006

Data Index: 1616437 (Python Code)

Max Activating Token Index: 3

Text #5

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Data Index: 1376069 (Python Code)

Max Activating Token Index: 514

Text #6

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Data Index: 1375259 (Python Code)

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Text #7

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Data Index: 1405593 (Python Code)

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Text #8

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Data Index: 1639526 (Python Code)

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Text #9

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Data Index: 1494799 (Python Code)

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Text #10

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Data Index: 1641784 (Python Code)

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Text #11

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Data Index: 1381688 (Python Code)

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Text #12

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Data Index: 1370224 (Python Code)

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Text #13

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Data Index: 1521002 (Python Code)

Max Activating Token Index: 146

Text #14

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Data Index: 1367118 (Python Code)

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Text #15

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Data Index: 1553620 (Python Code)

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Text #16

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Text #17

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Text #18

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Data Index: 1503272 (Python Code)

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Text #19

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Data Index: 1305333 (C4 (Web Text))

Max Activating Token Index: 55