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

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

Neuron 2047 in Layer 3

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: 5.3489. Min Act: -0.1700

Data Index: 141180 (C4 (Web Text))

Max Activating Token Index: 195

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Text #1

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Max Act: 5.2864. Min Act: -0.1700

Data Index: 826652 (C4 (Web Text))

Max Activating Token Index: 275

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Text #2

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Max Act: 5.2239. Min Act: -0.1700

Data Index: 471638 (C4 (Web Text))

Max Activating Token Index: 671

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Text #3

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Max Act: 5.1926. Min Act: -0.1700

Data Index: 1237917 (C4 (Web Text))

Max Activating Token Index: 679

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Text #4

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Max Act: 5.1614. Min Act: -0.1700

Data Index: 174136 (C4 (Web Text))

Max Activating Token Index: 469

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Text #5

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Max Act: 5.1301. Min Act: -0.1700

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Text #6

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Data Index: 455300 (C4 (Web Text))

Max Activating Token Index: 918

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Text #7

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Data Index: 1199308 (C4 (Web Text))

Max Activating Token Index: 460

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Text #8

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Data Index: 306506 (C4 (Web Text))

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Text #9

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Data Index: 31430 (C4 (Web Text))

Max Activating Token Index: 655

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Text #10

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Data Index: 111965 (C4 (Web Text))

Max Activating Token Index: 942

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Text #11

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Data Index: 477973 (C4 (Web Text))

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Text #12

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Text #13

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Data Index: 391931 (C4 (Web Text))

Max Activating Token Index: 35

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Text #14

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Text #15

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Data Index: 148085 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 885303 (C4 (Web Text))

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Text #18

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Data Index: 462760 (C4 (Web Text))

Max Activating Token Index: 607

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Text #19

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Data Index: 748622 (C4 (Web Text))

Max Activating Token Index: 722

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