Model: GELU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 634 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')

Text #0

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Max Act: 4.0006. Min Act: -0.1700

Data Index: 252901 (C4 (Web Text))

Max Activating Token Index: 608

Text #1

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Max Act: 4.0318. Min Act: -0.1700

Data Index: 936725 (C4 (Web Text))

Max Activating Token Index: 391

Text #2

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Max Act: 3.9849. Min Act: -0.1700

Data Index: 473594 (C4 (Web Text))

Max Activating Token Index: 383

Text #3

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Max Act: 4.0318. Min Act: -0.1700

Data Index: 844973 (C4 (Web Text))

Max Activating Token Index: 914

Text #4

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Max Act: 3.9693. Min Act: -0.1700

Data Index: 68459 (C4 (Web Text))

Max Activating Token Index: 656

Text #5

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Data Index: 1046858 (C4 (Web Text))

Max Activating Token Index: 128

Text #6

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Data Index: 189710 (C4 (Web Text))

Max Activating Token Index: 951

Text #7

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Data Index: 1205150 (C4 (Web Text))

Max Activating Token Index: 806

Text #8

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Data Index: 812531 (C4 (Web Text))

Max Activating Token Index: 995

Text #9

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Data Index: 335377 (C4 (Web Text))

Max Activating Token Index: 500

Text #10

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Data Index: 13936 (C4 (Web Text))

Max Activating Token Index: 207

Text #11

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Data Index: 822626 (C4 (Web Text))

Max Activating Token Index: 514

Text #12

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Data Index: 93421 (C4 (Web Text))

Max Activating Token Index: 195

Text #13

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Data Index: 461676 (C4 (Web Text))

Max Activating Token Index: 559

Text #14

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Data Index: 1084833 (C4 (Web Text))

Max Activating Token Index: 559

Text #15

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Max Activating Token Index: 183

Text #16

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Max Activating Token Index: 894

Text #17

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Max Activating Token Index: 588

Text #18

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Data Index: 950222 (C4 (Web Text))

Max Activating Token Index: 162

Text #19

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Max Act: 3.9849. Min Act: -0.1700

Data Index: 797093 (C4 (Web Text))

Max Activating Token Index: 79