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

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

Neuron 1513 in Layer 1

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

Text #0

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Max Act: 0.0341. Min Act: -0.0006

Data Index: 1080648 (C4 (Web Text))

Max Activating Token Index: 282

Text #1

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Max Act: 0.0307. Min Act: -0.0006

Data Index: 429414 (C4 (Web Text))

Max Activating Token Index: 697

Text #2

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Max Act: 0.0312. Min Act: -0.0006

Data Index: 631790 (C4 (Web Text))

Max Activating Token Index: 854

Text #3

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Max Act: 0.0331. Min Act: -0.0006

Data Index: 1316863 (C4 (Web Text))

Max Activating Token Index: 373

Text #4

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Max Act: 0.0308. Min Act: -0.0006

Data Index: 921545 (C4 (Web Text))

Max Activating Token Index: 1004

Text #5

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Max Act: 0.0305. Min Act: -0.0006

Data Index: 434568 (C4 (Web Text))

Max Activating Token Index: 998

Text #6

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Data Index: 13819 (C4 (Web Text))

Max Activating Token Index: 1015

Text #7

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Max Activating Token Index: 1015

Text #8

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Max Activating Token Index: 965

Text #9

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Max Activating Token Index: 635

Text #10

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Data Index: 1207215 (C4 (Web Text))

Max Activating Token Index: 635

Text #11

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Data Index: 531645 (C4 (Web Text))

Max Activating Token Index: 930

Text #12

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Data Index: 611443 (C4 (Web Text))

Max Activating Token Index: 707

Text #13

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Data Index: 497464 (C4 (Web Text))

Max Activating Token Index: 513

Text #14

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Data Index: 346151 (C4 (Web Text))

Max Activating Token Index: 564

Text #15

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Data Index: 49939 (C4 (Web Text))

Max Activating Token Index: 463

Text #16

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Max Activating Token Index: 835

Text #17

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Max Activating Token Index: 865

Text #18

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Data Index: 1075911 (C4 (Web Text))

Max Activating Token Index: 327

Text #19

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Max Act: 0.0303. Min Act: -0.0006

Data Index: 1099352 (C4 (Web Text))

Max Activating Token Index: 958