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

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

Neuron 431 in Layer 3

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

Text #0

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Max Act: 0.1046. Min Act: -0.0002

Data Index: 35559 (C4 (Web Text))

Max Activating Token Index: 951

Text #1

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Max Act: 0.0997. Min Act: -0.0002

Data Index: 1610853 (Python Code)

Max Activating Token Index: 202

Text #2

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Data Index: 1524223 (Python Code)

Max Activating Token Index: 727

Text #3

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Data Index: 1654014 (Python Code)

Max Activating Token Index: 647

Text #4

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Data Index: 1481574 (Python Code)

Max Activating Token Index: 33

Text #5

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Data Index: 569986 (C4 (Web Text))

Max Activating Token Index: 357

Text #6

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Data Index: 1429184 (Python Code)

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Text #7

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Text #8

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Data Index: 1460955 (Python Code)

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Text #9

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Data Index: 1427177 (Python Code)

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Text #10

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Data Index: 1254692 (C4 (Web Text))

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Text #11

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Data Index: 1474505 (Python Code)

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Text #12

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Data Index: 1601284 (Python Code)

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Text #13

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Data Index: 1612857 (Python Code)

Max Activating Token Index: 1010

Text #14

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Data Index: 1520860 (Python Code)

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Text #15

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Data Index: 1632120 (Python Code)

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Text #16

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Text #17

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Data Index: 1429718 (Python Code)

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Text #18

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Data Index: 1623291 (Python Code)

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Text #19

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Data Index: 564772 (C4 (Web Text))

Max Activating Token Index: 626