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

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

Neuron 33 in Layer 1

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



Text #0

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Max Act: 0.0903. Min Act: -0.0003

Data Index: 1169855 (C4 (Web Text))

Max Activating Token Index: 15

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Text #1

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Max Act: 0.0759. Min Act: -0.0003

Data Index: 252932 (C4 (Web Text))

Max Activating Token Index: 640

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Truncated

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Text #2

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Max Act: 0.0784. Min Act: -0.0003

Data Index: 1080132 (C4 (Web Text))

Max Activating Token Index: 781

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Truncated

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Text #3

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Max Act: 0.0766. Min Act: -0.0003

Data Index: 314284 (C4 (Web Text))

Max Activating Token Index: 399

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Truncated

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Text #4

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Max Act: 0.0750. Min Act: -0.0003

Data Index: 427024 (C4 (Web Text))

Max Activating Token Index: 396

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Truncated

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Text #5

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Data Index: 909741 (C4 (Web Text))

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Text #6

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Data Index: 320977 (C4 (Web Text))

Max Activating Token Index: 1018

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Truncated

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Text #7

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Data Index: 188536 (C4 (Web Text))

Max Activating Token Index: 939

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Truncated

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Text #8

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Data Index: 1351022 (C4 (Web Text))

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Text #9

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Data Index: 1299258 (C4 (Web Text))

Max Activating Token Index: 336

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Truncated

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Text #10

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Data Index: 1007315 (C4 (Web Text))

Max Activating Token Index: 580

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Truncated

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Text #11

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Data Index: 1275909 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 72837 (C4 (Web Text))

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Text #13

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Data Index: 687211 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 687736 (C4 (Web Text))

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Text #15

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Data Index: 794297 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 804889 (C4 (Web Text))

Max Activating Token Index: 792

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Text #18

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Max Act: 0.0668. Min Act: -0.0004

Data Index: 15645 (C4 (Web Text))

Max Activating Token Index: 766

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Truncated

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Text #19

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Data Index: 767047 (C4 (Web Text))

Max Activating Token Index: 537

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