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

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

Neuron 1662 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 3.2455. Min Act: -0.1700

Data Index: 1182336 (C4 (Web Text))

Max Activating Token Index: 854

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Text #1

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Max Act: 3.1353. Min Act: -0.1700

Data Index: 813419 (C4 (Web Text))

Max Activating Token Index: 591

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Text #2

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Max Act: 3.0407. Min Act: -0.1700

Data Index: 123083 (C4 (Web Text))

Max Activating Token Index: 743

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Text #3

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Max Act: 3.0407. Min Act: -0.1700

Data Index: 864087 (C4 (Web Text))

Max Activating Token Index: 237

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Text #4

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Max Act: 2.9775. Min Act: -0.1700

Data Index: 1505092 (Python Code)

Max Activating Token Index: 768

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Text #5

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Max Act: 2.9617. Min Act: -0.1700

Data Index: 699444 (C4 (Web Text))

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Text #6

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Data Index: 110265 (C4 (Web Text))

Max Activating Token Index: 185

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Text #7

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Data Index: 1453906 (Python Code)

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Text #8

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Data Index: 159325 (C4 (Web Text))

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Text #9

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Data Index: 1076896 (C4 (Web Text))

Max Activating Token Index: 667

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Text #10

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Data Index: 886734 (C4 (Web Text))

Max Activating Token Index: 324

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Text #11

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Data Index: 530520 (C4 (Web Text))

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Text #12

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Data Index: 426802 (C4 (Web Text))

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Text #13

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Data Index: 1644322 (Python Code)

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Text #14

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Data Index: 462178 (C4 (Web Text))

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Text #15

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Data Index: 1274258 (C4 (Web Text))

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Text #16

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Data Index: 1105248 (C4 (Web Text))

Max Activating Token Index: 914

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Text #17

Max Range: 3.2455. Min Range: -3.2455

Max Act: 2.7710. Min Act: -0.1700

Data Index: 34795 (C4 (Web Text))

Max Activating Token Index: 452

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Text #18

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Max Act: 2.7391. Min Act: -0.1700

Data Index: 983567 (C4 (Web Text))

Max Activating Token Index: 930

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Text #19

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Max Act: 2.6912. Min Act: -0.1700

Data Index: 74527 (C4 (Web Text))

Max Activating Token Index: 932

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