Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 282 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0248. Min Act: -0.0006

Data Index: 1526986 (Python Code)

Max Activating Token Index: 174

Text #1

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Max Act: 0.0241. Min Act: -0.0006

Data Index: 1483024 (Python Code)

Max Activating Token Index: 776

Text #2

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Max Act: 0.0235. Min Act: -0.0006

Data Index: 1612214 (Python Code)

Max Activating Token Index: 438

Text #3

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Max Act: 0.0211. Min Act: -0.0005

Data Index: 529916 (C4 (Web Text))

Max Activating Token Index: 1017

Text #4

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Max Act: 0.0220. Min Act: -0.0006

Data Index: 402018 (C4 (Web Text))

Max Activating Token Index: 672

Text #5

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Max Act: 0.0218. Min Act: -0.0006

Data Index: 650468 (C4 (Web Text))

Max Activating Token Index: 561

Text #6

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Data Index: 298520 (C4 (Web Text))

Max Activating Token Index: 562

Text #7

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Data Index: 859363 (C4 (Web Text))

Max Activating Token Index: 601

Text #8

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Data Index: 1508159 (Python Code)

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Text #9

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Data Index: 423870 (C4 (Web Text))

Max Activating Token Index: 1022

Text #10

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Data Index: 173568 (C4 (Web Text))

Max Activating Token Index: 662

Text #11

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Data Index: 1429330 (Python Code)

Max Activating Token Index: 293

Text #12

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Data Index: 312693 (C4 (Web Text))

Max Activating Token Index: 1012

Text #13

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Data Index: 230254 (C4 (Web Text))

Max Activating Token Index: 562

Text #14

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Data Index: 312680 (C4 (Web Text))

Max Activating Token Index: 802

Text #15

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Data Index: 1633425 (Python Code)

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Text #16

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Text #17

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Data Index: 1539722 (Python Code)

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Text #18

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Max Act: 0.0195. Min Act: -0.0006

Data Index: 438340 (C4 (Web Text))

Max Activating Token Index: 577

Text #19

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Max Act: 0.0194. Min Act: -0.0005

Data Index: 1289787 (C4 (Web Text))

Max Activating Token Index: 580