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

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

Neuron 589 in Layer 2

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

Text #0

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Max Act: 0.0325. Min Act: -0.0005

Data Index: 580547 (C4 (Web Text))

Max Activating Token Index: 477

Text #1

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Max Act: 0.0287. Min Act: -0.0005

Data Index: 141691 (C4 (Web Text))

Max Activating Token Index: 235

Text #2

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Max Act: 0.0280. Min Act: -0.0005

Data Index: 297504 (C4 (Web Text))

Max Activating Token Index: 817

Text #3

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Max Act: 0.0269. Min Act: -0.0005

Data Index: 420123 (C4 (Web Text))

Max Activating Token Index: 391

Text #4

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Data Index: 304581 (C4 (Web Text))

Max Activating Token Index: 681

Text #5

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Data Index: 746147 (C4 (Web Text))

Max Activating Token Index: 456

Text #6

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Data Index: 1101470 (C4 (Web Text))

Max Activating Token Index: 174

Text #7

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Max Activating Token Index: 909

Text #8

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Data Index: 28699 (C4 (Web Text))

Max Activating Token Index: 605

Text #9

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Max Activating Token Index: 476

Text #10

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Max Activating Token Index: 852

Text #11

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Max Activating Token Index: 297

Text #12

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Data Index: 22490 (C4 (Web Text))

Max Activating Token Index: 610

Text #13

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Max Activating Token Index: 109

Text #14

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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: 537

Text #18

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Text #19

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Data Index: 386552 (C4 (Web Text))

Max Activating Token Index: 632