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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 290 in Layer 5

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0934. Min Act: -0.0001

Data Index: 1373029 (Python Code)

Max Activating Token Index: 785

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Text #1

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Max Act: 0.0785. Min Act: -0.0001

Data Index: 706558 (C4 (Web Text))

Max Activating Token Index: 861

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Text #2

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Max Act: 0.0651. Min Act: -0.0001

Data Index: 796277 (C4 (Web Text))

Max Activating Token Index: 295

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Text #3

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Max Act: 0.0643. Min Act: -0.0001

Data Index: 928886 (C4 (Web Text))

Max Activating Token Index: 865

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Truncated

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Text #4

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Data Index: 727629 (C4 (Web Text))

Max Activating Token Index: 765

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Text #5

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Data Index: 473088 (C4 (Web Text))

Max Activating Token Index: 378

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Text #6

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Data Index: 249794 (C4 (Web Text))

Max Activating Token Index: 702

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Truncated

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Text #7

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Data Index: 1203378 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1223913 (C4 (Web Text))

Max Activating Token Index: 493

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Text #9

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Data Index: 328592 (C4 (Web Text))

Max Activating Token Index: 762

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Text #10

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Data Index: 1231535 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 19995 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 1560371 (Python Code)

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Text #15

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Data Index: 752769 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1129888 (C4 (Web Text))

Max Activating Token Index: 553

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Text #18

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Data Index: 897720 (C4 (Web Text))

Max Activating Token Index: 709

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Text #19

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Data Index: 1355991 (C4 (Web Text))

Max Activating Token Index: 309

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