Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 957 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0915. Min Act: -0.0003

Data Index: 1549290 (Python Code)

Max Activating Token Index: 967

Text #1

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Max Act: 0.0756. Min Act: -0.0003

Data Index: 1445421 (Python Code)

Max Activating Token Index: 790

Text #2

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Max Act: 0.0793. Min Act: -0.0003

Data Index: 1596242 (Python Code)

Max Activating Token Index: 382

Text #3

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Max Act: 0.0874. Min Act: -0.0003

Data Index: 1534428 (Python Code)

Max Activating Token Index: 32

Text #4

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Max Act: 0.0693. Min Act: -0.0003

Data Index: 1415797 (Python Code)

Max Activating Token Index: 758

Text #5

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Data Index: 1393468 (Python Code)

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Text #6

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Data Index: 1532384 (Python Code)

Max Activating Token Index: 1012

Text #7

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Data Index: 1536336 (Python Code)

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Text #8

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Data Index: 1608157 (Python Code)

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Text #9

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Data Index: 1340898 (C4 (Web Text))

Max Activating Token Index: 849

Text #10

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Data Index: 1158959 (C4 (Web Text))

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Text #11

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Data Index: 1514460 (Python Code)

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Text #12

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Data Index: 1649980 (Python Code)

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Text #13

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Data Index: 1232384 (C4 (Web Text))

Max Activating Token Index: 859

Text #14

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Data Index: 1469635 (Python Code)

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Text #15

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Data Index: 1436906 (Python Code)

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Text #16

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Data Index: 1573801 (Python Code)

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Text #17

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Data Index: 1519885 (Python Code)

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Text #18

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Data Index: 1626640 (Python Code)

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Text #19

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Max Act: 0.0787. Min Act: -0.0003

Data Index: 1579900 (Python Code)

Max Activating Token Index: 1013