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Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 2039 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')



Text #0

Max Range: 4.8568. Min Range: -4.8568

Max Act: 4.8568. Min Act: -0.1700

Data Index: 759787 (C4 (Web Text))

Max Activating Token Index: 612

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Text #1

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Max Act: 4.7006. Min Act: -0.1700

Data Index: 603057 (C4 (Web Text))

Max Activating Token Index: 881

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Text #2

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Max Act: 4.7631. Min Act: -0.1700

Data Index: 1157236 (C4 (Web Text))

Max Activating Token Index: 688

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Text #3

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Max Act: 4.7318. Min Act: -0.1700

Data Index: 13756 (C4 (Web Text))

Max Activating Token Index: 762

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Text #4

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Max Act: 4.6381. Min Act: -0.1700

Data Index: 390646 (C4 (Web Text))

Max Activating Token Index: 655

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Text #5

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Max Act: 4.7006. Min Act: -0.1700

Data Index: 567305 (C4 (Web Text))

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Text #6

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Data Index: 32833 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 650789 (C4 (Web Text))

Max Activating Token Index: 626

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Text #9

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Data Index: 736768 (C4 (Web Text))

Max Activating Token Index: 857

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Text #10

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Data Index: 814857 (C4 (Web Text))

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Text #11

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Data Index: 186949 (C4 (Web Text))

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Text #12

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Data Index: 1128895 (C4 (Web Text))

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Text #13

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Data Index: 1173651 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 601292 (C4 (Web Text))

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Text #16

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Data Index: 144564 (C4 (Web Text))

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Text #17

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Data Index: 797332 (C4 (Web Text))

Max Activating Token Index: 975

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Text #18

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Data Index: 816699 (C4 (Web Text))

Max Activating Token Index: 338

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Text #19

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Data Index: 1128103 (C4 (Web Text))

Max Activating Token Index: 668

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