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

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

Neuron 92 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 4.0928. Min Range: -4.0928

Max Act: 4.0928. Min Act: -0.1700

Data Index: 403153 (C4 (Web Text))

Max Activating Token Index: 977

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Text #1

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Max Act: 3.9990. Min Act: -0.1700

Data Index: 568772 (C4 (Web Text))

Max Activating Token Index: 797

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Text #2

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Max Act: 3.9990. Min Act: -0.1700

Data Index: 663037 (C4 (Web Text))

Max Activating Token Index: 984

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Text #3

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Max Act: 4.0303. Min Act: -0.1700

Data Index: 716225 (C4 (Web Text))

Max Activating Token Index: 907

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Text #4

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Data Index: 1347051 (C4 (Web Text))

Max Activating Token Index: 364

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Text #5

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Data Index: 636013 (C4 (Web Text))

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Text #6

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Data Index: 306842 (C4 (Web Text))

Max Activating Token Index: 880

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Text #7

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Data Index: 729921 (C4 (Web Text))

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Text #8

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Data Index: 248666 (C4 (Web Text))

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Text #9

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Data Index: 1377107 (Python Code)

Max Activating Token Index: 879

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Text #10

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Data Index: 1382641 (Python Code)

Max Activating Token Index: 943

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Text #11

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Data Index: 1541085 (Python Code)

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Text #12

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Data Index: 560952 (C4 (Web Text))

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Text #13

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Data Index: 244070 (C4 (Web Text))

Max Activating Token Index: 549

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Text #14

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Data Index: 563810 (C4 (Web Text))

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Text #15

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Data Index: 920603 (C4 (Web Text))

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Text #16

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Data Index: 400142 (C4 (Web Text))

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Text #17

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Data Index: 314178 (C4 (Web Text))

Max Activating Token Index: 301

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Text #18

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Max Act: 3.8427. Min Act: -0.1700

Data Index: 1319584 (C4 (Web Text))

Max Activating Token Index: 868

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Text #19

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Max Act: 3.8740. Min Act: -0.1700

Data Index: 268121 (C4 (Web Text))

Max Activating Token Index: 738

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