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

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

Neuron 3799 in Layer 2

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

Text #0

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Max Act: 0.0756. Min Act: -0.0002

Data Index: 1512748 (Python Code)

Max Activating Token Index: 189

Text #1

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Max Act: 0.0772. Min Act: -0.0002

Data Index: 1521334 (Python Code)

Max Activating Token Index: 326

Text #2

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Max Act: 0.0720. Min Act: -0.0002

Data Index: 1524852 (Python Code)

Max Activating Token Index: 179

Text #3

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Max Act: 0.0703. Min Act: -0.0002

Data Index: 1633194 (Python Code)

Max Activating Token Index: 950

Text #4

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Max Act: 0.0699. Min Act: -0.0002

Data Index: 1549018 (Python Code)

Max Activating Token Index: 380

Text #5

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Max Act: 0.0673. Min Act: -0.0002

Data Index: 1457885 (Python Code)

Max Activating Token Index: 963

Text #6

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Max Act: 0.0668. Min Act: -0.0002

Data Index: 1410508 (Python Code)

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Text #7

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Data Index: 1567359 (Python Code)

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Text #8

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Data Index: 1574635 (Python Code)

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Text #9

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Data Index: 1374075 (Python Code)

Max Activating Token Index: 220

Text #10

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Data Index: 1614529 (Python Code)

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Text #11

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Data Index: 1483592 (Python Code)

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Text #12

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Data Index: 1649295 (Python Code)

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Text #13

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Data Index: 1367553 (Python Code)

Max Activating Token Index: 847

Text #14

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Data Index: 1630049 (Python Code)

Max Activating Token Index: 611

Text #15

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Data Index: 1548653 (Python Code)

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Text #16

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Data Index: 1472511 (Python Code)

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Text #17

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Data Index: 1521902 (Python Code)

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Text #18

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Data Index: 1604911 (Python Code)

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Text #19

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Max Act: 0.0577. Min Act: -0.0002

Data Index: 1374772 (Python Code)

Max Activating Token Index: 775