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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 4870 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.8138. Min Act: -0.0001

Data Index: 752349 (C4 (Web Text))

Max Activating Token Index: 553

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Text #1

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Data Index: 1545673 (Python Code)

Max Activating Token Index: 664

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Text #2

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Max Act: 0.7742. Min Act: -0.0001

Data Index: 569537 (C4 (Web Text))

Max Activating Token Index: 386

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Text #3

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Max Act: 0.7482. Min Act: -0.0001

Data Index: 500191 (C4 (Web Text))

Max Activating Token Index: 1022

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Text #4

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Data Index: 367919 (C4 (Web Text))

Max Activating Token Index: 761

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Text #5

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Data Index: 839431 (C4 (Web Text))

Max Activating Token Index: 520

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Text #6

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Data Index: 844186 (C4 (Web Text))

Max Activating Token Index: 686

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Text #7

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Data Index: 171198 (C4 (Web Text))

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Text #8

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Data Index: 986505 (C4 (Web Text))

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Text #9

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Data Index: 582468 (C4 (Web Text))

Max Activating Token Index: 434

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Text #10

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Data Index: 503558 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1500933 (Python Code)

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Text #13

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Text #14

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Data Index: 1054505 (C4 (Web Text))

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Text #15

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Data Index: 863483 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 167792 (C4 (Web Text))

Max Activating Token Index: 693

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Text #18

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Data Index: 1004004 (C4 (Web Text))

Max Activating Token Index: 219

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Text #19

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Data Index: 405735 (C4 (Web Text))

Max Activating Token Index: 940

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