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

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

Neuron 510 in Layer 0

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

Text #0

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Max Act: 0.0083. Min Act: -0.0006

Data Index: 1567017 (Python Code)

Max Activating Token Index: 571

Text #1

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Max Act: 0.0081. Min Act: -0.0005

Data Index: 1435690 (Python Code)

Max Activating Token Index: 870

Text #2

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Max Act: 0.0078. Min Act: -0.0006

Data Index: 632540 (C4 (Web Text))

Max Activating Token Index: 558

Text #3

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Max Act: 0.0074. Min Act: -0.0005

Data Index: 1651834 (Python Code)

Max Activating Token Index: 65

Text #4

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Max Act: 0.0073. Min Act: -0.0006

Data Index: 1614278 (Python Code)

Max Activating Token Index: 993

Text #5

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Max Act: 0.0074. Min Act: -0.0005

Data Index: 504425 (C4 (Web Text))

Max Activating Token Index: 551

Text #6

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Data Index: 1574708 (Python Code)

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Text #7

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Data Index: 503402 (C4 (Web Text))

Max Activating Token Index: 354

Text #8

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Data Index: 1568035 (Python Code)

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Text #9

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Data Index: 131906 (C4 (Web Text))

Max Activating Token Index: 1006

Text #10

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Data Index: 1452490 (Python Code)

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Text #11

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Data Index: 1558323 (Python Code)

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Text #12

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Data Index: 1490896 (Python Code)

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Text #13

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Data Index: 1370953 (Python Code)

Max Activating Token Index: 807

Text #14

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Data Index: 1372731 (Python Code)

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Text #15

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Data Index: 1553833 (Python Code)

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Text #16

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Data Index: 1394490 (Python Code)

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Text #17

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Data Index: 1576449 (Python Code)

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Text #18

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Data Index: 1440260 (Python Code)

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Text #19

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Max Act: 0.0068. Min Act: -0.0005

Data Index: 1574855 (Python Code)

Max Activating Token Index: 134