Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1866 in Layer 4

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0950. Min Act: -0.0001

Data Index: 1622848 (Python Code)

Max Activating Token Index: 86

Text #1

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Max Act: 0.0855. Min Act: -0.0000

Data Index: 1518735 (Python Code)

Max Activating Token Index: 654

Text #2

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Max Act: 0.0725. Min Act: -0.0001

Data Index: 1471101 (Python Code)

Max Activating Token Index: 604

Text #3

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Max Act: 0.0826. Min Act: -0.0000

Data Index: 1640854 (Python Code)

Max Activating Token Index: 100

Text #4

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Max Act: 0.0693. Min Act: -0.0000

Data Index: 1558662 (Python Code)

Max Activating Token Index: 434

Text #5

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Max Act: 0.0741. Min Act: -0.0000

Data Index: 1558029 (Python Code)

Max Activating Token Index: 335

Text #6

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Data Index: 1454854 (Python Code)

Max Activating Token Index: 553

Text #7

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Data Index: 1516501 (Python Code)

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Text #8

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Data Index: 1604917 (Python Code)

Max Activating Token Index: 252

Text #9

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Data Index: 1517834 (Python Code)

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Text #10

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Data Index: 1554273 (Python Code)

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Text #11

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Data Index: 1425785 (Python Code)

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Text #12

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Data Index: 1646952 (Python Code)

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Text #13

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Data Index: 1636929 (Python Code)

Max Activating Token Index: 466

Text #14

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Data Index: 1482507 (Python Code)

Max Activating Token Index: 306

Text #15

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Data Index: 1131821 (C4 (Web Text))

Max Activating Token Index: 467

Text #16

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Data Index: 1640591 (Python Code)

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Text #17

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Data Index: 1310562 (C4 (Web Text))

Max Activating Token Index: 20

Text #18

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Data Index: 1587210 (Python Code)

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Text #19

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Max Act: 0.0488. Min Act: -0.0001

Data Index: 309018 (C4 (Web Text))

Max Activating Token Index: 504