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

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

Neuron 8 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 4.7545. Min Range: -4.7545

Max Act: 4.7545. Min Act: -0.1700

Data Index: 126188 (C4 (Web Text))

Max Activating Token Index: 669

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Text #1

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Data Index: 647148 (C4 (Web Text))

Max Activating Token Index: 176

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Text #2

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Max Act: 4.7232. Min Act: -0.1700

Data Index: 830860 (C4 (Web Text))

Max Activating Token Index: 540

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Text #3

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Max Act: 4.6920. Min Act: -0.1700

Data Index: 1359687 (C4 (Web Text))

Max Activating Token Index: 629

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Text #4

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Max Act: 4.6920. Min Act: -0.1700

Data Index: 546375 (C4 (Web Text))

Max Activating Token Index: 180

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Text #5

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Data Index: 769042 (C4 (Web Text))

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Text #6

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Data Index: 396929 (C4 (Web Text))

Max Activating Token Index: 941

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Text #7

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Data Index: 345159 (C4 (Web Text))

Max Activating Token Index: 851

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Text #8

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Data Index: 736473 (C4 (Web Text))

Max Activating Token Index: 36

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Text #9

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Data Index: 874815 (C4 (Web Text))

Max Activating Token Index: 396

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Text #10

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Data Index: 171431 (C4 (Web Text))

Max Activating Token Index: 897

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Text #11

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Data Index: 973384 (C4 (Web Text))

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Text #12

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Data Index: 720189 (C4 (Web Text))

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Text #13

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Data Index: 1116471 (C4 (Web Text))

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Text #14

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Data Index: 632697 (C4 (Web Text))

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Text #15

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Data Index: 82786 (C4 (Web Text))

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Text #16

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Data Index: 532179 (C4 (Web Text))

Max Activating Token Index: 417

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Text #17

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Data Index: 493297 (C4 (Web Text))

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Text #18

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Max Act: 4.6295. Min Act: -0.1700

Data Index: 1097259 (C4 (Web Text))

Max Activating Token Index: 207

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Text #19

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Max Act: 4.6295. Min Act: -0.1700

Data Index: 110775 (C4 (Web Text))

Max Activating Token Index: 712

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