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

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

Neuron 1438 in Layer 3

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

Text #0

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Max Act: 0.0894. Min Act: -0.0002

Data Index: 1220741 (C4 (Web Text))

Max Activating Token Index: 666

Text #1

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Max Act: 0.0911. Min Act: -0.0002

Data Index: 1310083 (C4 (Web Text))

Max Activating Token Index: 484

Text #2

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Max Act: 0.0906. Min Act: -0.0002

Data Index: 128315 (C4 (Web Text))

Max Activating Token Index: 550

Text #3

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Data Index: 493823 (C4 (Web Text))

Max Activating Token Index: 1009

Text #4

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Max Act: 0.0790. Min Act: -0.0002

Data Index: 134374 (C4 (Web Text))

Max Activating Token Index: 940

Text #5

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Max Act: 0.0783. Min Act: -0.0002

Data Index: 608266 (C4 (Web Text))

Max Activating Token Index: 366

Text #6

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Data Index: 361428 (C4 (Web Text))

Max Activating Token Index: 677

Text #7

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Data Index: 840126 (C4 (Web Text))

Max Activating Token Index: 627

Text #8

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Max Activating Token Index: 155

Text #9

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Max Activating Token Index: 122

Text #10

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Data Index: 1374166 (Python Code)

Max Activating Token Index: 142

Text #11

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Data Index: 147804 (C4 (Web Text))

Max Activating Token Index: 277

Text #12

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Data Index: 90730 (C4 (Web Text))

Max Activating Token Index: 380

Text #13

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Data Index: 473615 (C4 (Web Text))

Max Activating Token Index: 461

Text #14

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Data Index: 345219 (C4 (Web Text))

Max Activating Token Index: 726

Text #15

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Max Activating Token Index: 436

Text #16

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Text #17

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Max Activating Token Index: 402

Text #18

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Data Index: 866533 (C4 (Web Text))

Max Activating Token Index: 335

Text #19

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Data Index: 1190454 (C4 (Web Text))

Max Activating Token Index: 979