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

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

Neuron 29 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: 3.1821. Min Range: -3.1821

Max Act: 3.1821. Min Act: -0.1700

Data Index: 821887 (C4 (Web Text))

Max Activating Token Index: 64

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Truncated

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Text #1

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Max Act: 3.0244. Min Act: -0.1700

Data Index: 689389 (C4 (Web Text))

Max Activating Token Index: 86

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Truncated

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Text #2

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Max Act: 3.0244. Min Act: -0.1700

Data Index: 518339 (C4 (Web Text))

Max Activating Token Index: 710

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Truncated

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Text #3

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Max Act: 2.9928. Min Act: -0.1700

Data Index: 82527 (C4 (Web Text))

Max Activating Token Index: 427

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Truncated

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Text #4

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Max Act: 3.0086. Min Act: -0.1700

Data Index: 820346 (C4 (Web Text))

Max Activating Token Index: 855

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Truncated

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Text #5

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Max Act: 3.0086. Min Act: -0.1700

Data Index: 120906 (C4 (Web Text))

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Text #6

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Data Index: 750632 (C4 (Web Text))

Max Activating Token Index: 68

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Text #7

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Data Index: 131418 (C4 (Web Text))

Max Activating Token Index: 703

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Truncated

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Text #8

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Max Act: 2.9453. Min Act: -0.1700

Data Index: 241656 (C4 (Web Text))

Max Activating Token Index: 748

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Text #9

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Data Index: 572147 (C4 (Web Text))

Max Activating Token Index: 377

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Text #10

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Data Index: 442453 (C4 (Web Text))

Max Activating Token Index: 894

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Text #11

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Data Index: 1321853 (C4 (Web Text))

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Text #12

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Data Index: 661614 (C4 (Web Text))

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Text #13

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Data Index: 433864 (C4 (Web Text))

Max Activating Token Index: 981

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Text #14

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Text #15

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Data Index: 988918 (C4 (Web Text))

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Text #16

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Data Index: 609338 (C4 (Web Text))

Max Activating Token Index: 939

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Text #17

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Max Act: 2.9136. Min Act: -0.1700

Data Index: 961994 (C4 (Web Text))

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Text #18

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Max Act: 2.9136. Min Act: -0.1700

Data Index: 617728 (C4 (Web Text))

Max Activating Token Index: 124

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Text #19

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Max Act: 2.9295. Min Act: -0.1700

Data Index: 759002 (C4 (Web Text))

Max Activating Token Index: 399

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