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

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

Neuron 76 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: 5.5752. Min Act: -0.1700

Data Index: 1211507 (C4 (Web Text))

Max Activating Token Index: 519

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Text #1

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Data Index: 822030 (C4 (Web Text))

Max Activating Token Index: 96

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Text #2

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Max Act: 5.2627. Min Act: -0.1700

Data Index: 892401 (C4 (Web Text))

Max Activating Token Index: 777

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Text #3

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Data Index: 24687 (C4 (Web Text))

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Text #4

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Data Index: 991558 (C4 (Web Text))

Max Activating Token Index: 748

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Text #5

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Text #6

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Data Index: 494440 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 637478 (C4 (Web Text))

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Text #9

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Data Index: 945654 (C4 (Web Text))

Max Activating Token Index: 936

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Text #10

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Data Index: 496864 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 268547 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Data Index: 1283786 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 867407 (C4 (Web Text))

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Text #18

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Data Index: 385266 (C4 (Web Text))

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Text #19

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Data Index: 372755 (C4 (Web Text))

Max Activating Token Index: 384

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