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Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 2020 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')



Text #0

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Max Act: 4.9434. Min Act: -0.1700

Data Index: 172874 (C4 (Web Text))

Max Activating Token Index: 649

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Text #1

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Max Act: 4.7872. Min Act: -0.1700

Data Index: 1322282 (C4 (Web Text))

Max Activating Token Index: 653

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Text #2

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Max Act: 4.7247. Min Act: -0.1700

Data Index: 879404 (C4 (Web Text))

Max Activating Token Index: 84

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Text #3

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Data Index: 1140299 (C4 (Web Text))

Max Activating Token Index: 819

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Text #4

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Data Index: 930197 (C4 (Web Text))

Max Activating Token Index: 784

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Text #5

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Data Index: 50847 (C4 (Web Text))

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Text #6

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Data Index: 801330 (C4 (Web Text))

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Text #7

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Data Index: 1337875 (C4 (Web Text))

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Text #8

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Data Index: 1072525 (C4 (Web Text))

Max Activating Token Index: 938

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Text #9

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Data Index: 995870 (C4 (Web Text))

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Text #10

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Data Index: 4106 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 210532 (C4 (Web Text))

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Text #13

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Data Index: 522117 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 619705 (C4 (Web Text))

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Text #16

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Data Index: 1109234 (C4 (Web Text))

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Text #17

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Data Index: 696377 (C4 (Web Text))

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Text #18

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Data Index: 1520096 (Python Code)

Max Activating Token Index: 665

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Text #19

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Data Index: 1553319 (Python Code)

Max Activating Token Index: 290

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