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

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

Neuron 6010 in Layer 3

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: 2.7560. Min Act: -0.0001

Data Index: 294545 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Data Index: 148998 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #2

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Max Act: 2.4926. Min Act: -0.0002

Data Index: 1019358 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #3

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Max Act: 1.9806. Min Act: -0.0001

Data Index: 478884 (C4 (Web Text))

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Text #4

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Data Index: 1540841 (Python Code)

Max Activating Token Index: 1023

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Text #5

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Data Index: 903541 (C4 (Web Text))

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Text #6

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Data Index: 1004838 (C4 (Web Text))

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Text #7

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Data Index: 1308 (C4 (Web Text))

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Text #8

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Data Index: 942484 (C4 (Web Text))

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Text #9

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Data Index: 134956 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #10

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Data Index: 349581 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1067617 (C4 (Web Text))

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Text #13

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Data Index: 47461 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 664350 (C4 (Web Text))

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Text #16

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Data Index: 588940 (C4 (Web Text))

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Text #17

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Data Index: 747114 (C4 (Web Text))

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Text #18

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Data Index: 1405737 (Python Code)

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Text #19

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Data Index: 62404 (C4 (Web Text))

Max Activating Token Index: 1023

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