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

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

Neuron 3526 in Layer 9

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: 6.7372. Min Act: -0.0000

Data Index: 1078257 (C4 (Web Text))

Max Activating Token Index: 612

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Text #1

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Max Act: 4.5988. Min Act: -0.0000

Data Index: 968654 (C4 (Web Text))

Max Activating Token Index: 276

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Text #2

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Max Act: 4.6671. Min Act: -0.0000

Data Index: 1285563 (C4 (Web Text))

Max Activating Token Index: 463

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Text #3

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Max Act: 4.1260. Min Act: -0.0000

Data Index: 795115 (C4 (Web Text))

Max Activating Token Index: 200

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Text #4

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Max Act: 4.2767. Min Act: -0.0000

Data Index: 1656271 (Python Code)

Max Activating Token Index: 781

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Text #5

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Data Index: 1475442 (Python Code)

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Text #6

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Data Index: 1324691 (C4 (Web Text))

Max Activating Token Index: 646

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Text #7

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Text #8

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Data Index: 226589 (C4 (Web Text))

Max Activating Token Index: 808

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Text #9

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Data Index: 446325 (C4 (Web Text))

Max Activating Token Index: 678

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Text #10

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Data Index: 327446 (C4 (Web Text))

Max Activating Token Index: 549

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Text #11

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Data Index: 1321967 (C4 (Web Text))

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Text #12

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Data Index: 796126 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 225300 (C4 (Web Text))

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Text #15

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Data Index: 737367 (C4 (Web Text))

Max Activating Token Index: 598

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Text #16

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Data Index: 687019 (C4 (Web Text))

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Text #17

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Max Act: 3.4096. Min Act: -0.0000

Data Index: 1225384 (C4 (Web Text))

Max Activating Token Index: 744

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Text #18

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Max Act: 3.5361. Min Act: -0.0000

Data Index: 927294 (C4 (Web Text))

Max Activating Token Index: 434

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Text #19

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Max Act: 3.5067. Min Act: -0.0000

Data Index: 1317801 (C4 (Web Text))

Max Activating Token Index: 619

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