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

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

Neuron 6120 in Layer 4

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: 1.7648. Min Act: -0.0001

Data Index: 1315720 (C4 (Web Text))

Max Activating Token Index: 850

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Text #1

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Data Index: 14193 (C4 (Web Text))

Max Activating Token Index: 358

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Text #2

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Max Act: 1.6723. Min Act: -0.0001

Data Index: 907693 (C4 (Web Text))

Max Activating Token Index: 145

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Text #3

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Max Act: 1.5905. Min Act: -0.0001

Data Index: 814722 (C4 (Web Text))

Max Activating Token Index: 300

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Text #4

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Data Index: 725995 (C4 (Web Text))

Max Activating Token Index: 705

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Text #5

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Data Index: 1008344 (C4 (Web Text))

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Text #6

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Data Index: 27387 (C4 (Web Text))

Max Activating Token Index: 729

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Text #7

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Data Index: 293432 (C4 (Web Text))

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Text #8

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Data Index: 403226 (C4 (Web Text))

Max Activating Token Index: 982

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Text #9

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Data Index: 743549 (C4 (Web Text))

Max Activating Token Index: 589

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Text #10

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Data Index: 1131341 (C4 (Web Text))

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Text #11

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Text #12

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Max Activating Token Index: 914

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Text #13

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Data Index: 1006294 (C4 (Web Text))

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Text #14

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Data Index: 1323484 (C4 (Web Text))

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Text #15

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Data Index: 859656 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 690539 (C4 (Web Text))

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Text #18

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Data Index: 1303064 (C4 (Web Text))

Max Activating Token Index: 789

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Text #19

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Data Index: 747317 (C4 (Web Text))

Max Activating Token Index: 633

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