Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 298 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0149. Min Act: -0.0003

Data Index: 1412782 (Python Code)

Max Activating Token Index: 821

Text #1

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Max Act: 0.0149. Min Act: -0.0003

Data Index: 1471352 (Python Code)

Max Activating Token Index: 931

Text #2

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Max Act: 0.0136. Min Act: -0.0003

Data Index: 1394269 (Python Code)

Max Activating Token Index: 1000

Text #3

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Max Act: 0.0128. Min Act: -0.0003

Data Index: 1528591 (Python Code)

Max Activating Token Index: 337

Text #4

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Max Act: 0.0122. Min Act: -0.0004

Data Index: 1221937 (C4 (Web Text))

Max Activating Token Index: 781

Text #5

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Max Act: 0.0122. Min Act: -0.0003

Data Index: 1568897 (Python Code)

Max Activating Token Index: 808

Text #6

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Data Index: 407592 (C4 (Web Text))

Max Activating Token Index: 761

Text #7

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Max Activating Token Index: 666

Text #8

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Text #9

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Data Index: 919934 (C4 (Web Text))

Max Activating Token Index: 659

Text #10

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Max Activating Token Index: 914

Text #11

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Max Activating Token Index: 718

Text #12

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Max Activating Token Index: 568

Text #13

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Data Index: 997101 (C4 (Web Text))

Max Activating Token Index: 983

Text #14

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Data Index: 1432357 (Python Code)

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 528

Text #18

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Max Act: 0.0100. Min Act: -0.0004

Data Index: 1245663 (C4 (Web Text))

Max Activating Token Index: 321

Text #19

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Max Act: 0.0097. Min Act: -0.0003

Data Index: 1456298 (Python Code)

Max Activating Token Index: 904