Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1724 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.0018. Min Act: -0.0002

Data Index: 1647089 (Python Code)

Max Activating Token Index: 674

Text #1

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Data Index: 1520298 (Python Code)

Max Activating Token Index: 887

Text #2

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Max Act: 0.0014. Min Act: -0.0002

Data Index: 1421588 (Python Code)

Max Activating Token Index: 818

Text #3

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Max Act: 0.0011. Min Act: -0.0002

Data Index: 1388406 (Python Code)

Max Activating Token Index: 960

Text #4

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Max Act: 0.0010. Min Act: -0.0002

Data Index: 1612868 (Python Code)

Max Activating Token Index: 895

Text #5

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Max Act: 0.0009. Min Act: -0.0002

Data Index: 838637 (C4 (Web Text))

Max Activating Token Index: 531

Text #6

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Data Index: 81123 (C4 (Web Text))

Max Activating Token Index: 547

Text #7

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Text #8

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Data Index: 1063496 (C4 (Web Text))

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Text #9

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Data Index: 426015 (C4 (Web Text))

Max Activating Token Index: 940

Text #10

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Data Index: 305544 (C4 (Web Text))

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Text #11

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Data Index: 407267 (C4 (Web Text))

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Text #12

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Max Activating Token Index: 457

Text #13

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Data Index: 415918 (C4 (Web Text))

Max Activating Token Index: 314

Text #14

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Data Index: 929942 (C4 (Web Text))

Max Activating Token Index: 427

Text #15

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Data Index: 75672 (C4 (Web Text))

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Text #16

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Text #17

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Text #18

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Data Index: 278488 (C4 (Web Text))

Max Activating Token Index: 347

Text #19

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Max Act: 0.0007. Min Act: -0.0002

Data Index: 1331245 (C4 (Web Text))

Max Activating Token Index: 650