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

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

Neuron 59 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 3.8478. Min Range: -3.8478

Max Act: 3.8478. Min Act: -0.1700

Data Index: 209103 (C4 (Web Text))

Max Activating Token Index: 319

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Text #1

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Max Act: 3.7852. Min Act: -0.1700

Data Index: 794296 (C4 (Web Text))

Max Activating Token Index: 738

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Text #2

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Max Act: 3.7852. Min Act: -0.1700

Data Index: 229317 (C4 (Web Text))

Max Activating Token Index: 344

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Text #3

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Max Act: 3.7852. Min Act: -0.1700

Data Index: 1039831 (C4 (Web Text))

Max Activating Token Index: 529

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Text #4

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Max Act: 3.7852. Min Act: -0.1700

Data Index: 682572 (C4 (Web Text))

Max Activating Token Index: 479

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Text #5

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Max Act: 3.6601. Min Act: -0.1700

Data Index: 413714 (C4 (Web Text))

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Text #6

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Data Index: 1011071 (C4 (Web Text))

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Text #7

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Data Index: 1002337 (C4 (Web Text))

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Text #8

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Data Index: 195700 (C4 (Web Text))

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Text #9

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Data Index: 1284098 (C4 (Web Text))

Max Activating Token Index: 858

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Text #10

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Data Index: 945223 (C4 (Web Text))

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Text #11

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Data Index: 137678 (C4 (Web Text))

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Text #12

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Data Index: 403394 (C4 (Web Text))

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Text #13

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Data Index: 1142165 (C4 (Web Text))

Max Activating Token Index: 20

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Text #14

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Text #15

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Text #16

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Data Index: 346080 (C4 (Web Text))

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Text #17

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Text #18

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Data Index: 129159 (C4 (Web Text))

Max Activating Token Index: 683

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Text #19

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Data Index: 710421 (C4 (Web Text))

Max Activating Token Index: 573

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