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

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

Neuron 724 in Layer 6

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 2.3461. Min Act: -0.0000

Data Index: 1510212 (Python Code)

Max Activating Token Index: 929

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Text #1

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Data Index: 259302 (C4 (Web Text))

Max Activating Token Index: 1015

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Text #2

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Max Act: 2.2642. Min Act: -0.0000

Data Index: 638114 (C4 (Web Text))

Max Activating Token Index: 891

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Text #3

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Data Index: 945990 (C4 (Web Text))

Max Activating Token Index: 1012

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Text #4

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Data Index: 807583 (C4 (Web Text))

Max Activating Token Index: 450

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Text #5

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Data Index: 937358 (C4 (Web Text))

Max Activating Token Index: 845

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Text #6

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Data Index: 389393 (C4 (Web Text))

Max Activating Token Index: 941

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Text #7

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Text #8

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Data Index: 1357037 (C4 (Web Text))

Max Activating Token Index: 621

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Text #9

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Data Index: 528208 (C4 (Web Text))

Max Activating Token Index: 810

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Text #10

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Text #11

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Data Index: 1347781 (C4 (Web Text))

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Text #12

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Data Index: 1272644 (C4 (Web Text))

Max Activating Token Index: 867

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Text #13

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Text #14

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Data Index: 184732 (C4 (Web Text))

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Text #15

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Data Index: 884371 (C4 (Web Text))

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Text #16

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Data Index: 75281 (C4 (Web Text))

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Text #17

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Data Index: 576699 (C4 (Web Text))

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Text #18

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Data Index: 689875 (C4 (Web Text))

Max Activating Token Index: 380

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Text #19

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Data Index: 394403 (C4 (Web Text))

Max Activating Token Index: 815

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