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

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

Neuron 807 in Layer 2

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

Text #0

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Max Act: 0.0748. Min Act: -0.0004

Data Index: 1434916 (Python Code)

Max Activating Token Index: 495

Text #1

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Max Act: 0.0714. Min Act: -0.0003

Data Index: 1563943 (Python Code)

Max Activating Token Index: 321

Text #2

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Max Act: 0.0705. Min Act: -0.0003

Data Index: 1607227 (Python Code)

Max Activating Token Index: 874

Text #3

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Max Act: 0.0676. Min Act: -0.0003

Data Index: 1425877 (Python Code)

Max Activating Token Index: 153

Text #4

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Max Act: 0.0625. Min Act: -0.0002

Data Index: 1622908 (Python Code)

Max Activating Token Index: 973

Text #5

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Data Index: 177908 (C4 (Web Text))

Max Activating Token Index: 857

Text #6

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Data Index: 1482895 (Python Code)

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Text #7

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Data Index: 1582279 (Python Code)

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Text #8

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Text #9

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Text #10

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Data Index: 1608431 (Python Code)

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Text #12

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Data Index: 1441743 (Python Code)

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Text #13

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Data Index: 616664 (C4 (Web Text))

Max Activating Token Index: 590

Text #14

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Data Index: 1413530 (Python Code)

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Text #15

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Text #16

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Text #17

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Data Index: 1406485 (Python Code)

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Text #18

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Data Index: 1457197 (Python Code)

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Text #19

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Data Index: 1395427 (Python Code)

Max Activating Token Index: 418