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

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

Neuron 1951 in Layer 3

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

Text #0

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Max Act: 0.0837. Min Act: -0.0002

Data Index: 1606464 (Python Code)

Max Activating Token Index: 89

Text #1

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Max Act: 0.0855. Min Act: -0.0002

Data Index: 1592418 (Python Code)

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Text #2

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Max Act: 0.0814. Min Act: -0.0002

Data Index: 1507380 (Python Code)

Max Activating Token Index: 104

Text #3

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Max Act: 0.0787. Min Act: -0.0002

Data Index: 1441319 (Python Code)

Max Activating Token Index: 293

Text #4

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Max Act: 0.0817. Min Act: -0.0002

Data Index: 1434013 (Python Code)

Max Activating Token Index: 23

Text #5

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Max Act: 0.0814. Min Act: -0.0002

Data Index: 1395360 (Python Code)

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Text #6

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Data Index: 1375185 (Python Code)

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Text #7

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Data Index: 1395412 (Python Code)

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Text #8

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Data Index: 1433962 (Python Code)

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Text #9

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Data Index: 1530668 (Python Code)

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Text #10

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Data Index: 1628740 (Python Code)

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Text #11

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Data Index: 1369886 (Python Code)

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Text #12

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Data Index: 1644013 (Python Code)

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Text #13

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Data Index: 1386589 (Python Code)

Max Activating Token Index: 353

Text #14

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Data Index: 1499027 (Python Code)

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Text #15

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Data Index: 1499665 (Python Code)

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Text #16

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Text #17

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Data Index: 1397835 (Python Code)

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Text #18

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Data Index: 1401604 (Python Code)

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Text #19

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Max Act: 0.0775. Min Act: -0.0002

Data Index: 1413265 (Python Code)

Max Activating Token Index: 821