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

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

Neuron 41 in Layer 3

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 4.4031. Min Range: -4.4031

Max Act: 4.4031. Min Act: -0.1700

Data Index: 1070973 (C4 (Web Text))

Max Activating Token Index: 795

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Text #1

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Max Act: 4.4031. Min Act: -0.1700

Data Index: 1158655 (C4 (Web Text))

Max Activating Token Index: 331

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Text #2

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Max Act: 4.3406. Min Act: -0.1700

Data Index: 1175507 (C4 (Web Text))

Max Activating Token Index: 795

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Text #3

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Data Index: 915727 (C4 (Web Text))

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Text #4

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Data Index: 1087181 (C4 (Web Text))

Max Activating Token Index: 988

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Text #5

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Data Index: 875492 (C4 (Web Text))

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Text #6

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Data Index: 729672 (C4 (Web Text))

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Text #7

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Data Index: 379186 (C4 (Web Text))

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Text #8

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Data Index: 264751 (C4 (Web Text))

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Text #9

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Data Index: 573195 (C4 (Web Text))

Max Activating Token Index: 953

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Text #10

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Data Index: 662501 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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Data Index: 1222565 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 1385646 (Python Code)

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Text #16

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Data Index: 535382 (C4 (Web Text))

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Text #17

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Data Index: 1151568 (C4 (Web Text))

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Text #18

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Data Index: 645115 (C4 (Web Text))

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Text #19

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Data Index: 411790 (C4 (Web Text))

Max Activating Token Index: 103

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