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

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

Neuron 1033 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.0465. Min Act: -0.0002

Data Index: 1181418 (C4 (Web Text))

Max Activating Token Index: 446

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Text #1

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Max Act: 0.0446. Min Act: -0.0002

Data Index: 1511553 (Python Code)

Max Activating Token Index: 444

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Text #2

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Max Act: 0.0437. Min Act: -0.0002

Data Index: 819319 (C4 (Web Text))

Max Activating Token Index: 540

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Text #3

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Data Index: 1111509 (C4 (Web Text))

Max Activating Token Index: 220

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Text #4

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Max Act: 0.0439. Min Act: -0.0002

Data Index: 152300 (C4 (Web Text))

Max Activating Token Index: 278

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Text #5

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Data Index: 1335625 (C4 (Web Text))

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Text #6

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Data Index: 125134 (C4 (Web Text))

Max Activating Token Index: 703

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Text #7

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Data Index: 1204064 (C4 (Web Text))

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Text #8

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Data Index: 875571 (C4 (Web Text))

Max Activating Token Index: 251

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Text #9

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Data Index: 874230 (C4 (Web Text))

Max Activating Token Index: 582

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Text #10

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Data Index: 448495 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 737974 (C4 (Web Text))

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Text #13

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Data Index: 360305 (C4 (Web Text))

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Text #14

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Data Index: 1046962 (C4 (Web Text))

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Text #15

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Data Index: 741464 (C4 (Web Text))

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Text #16

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Data Index: 1468531 (Python Code)

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Text #17

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Data Index: 945647 (C4 (Web Text))

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Text #18

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Data Index: 213441 (C4 (Web Text))

Max Activating Token Index: 506

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Text #19

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Data Index: 737606 (C4 (Web Text))

Max Activating Token Index: 442

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