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

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

Neuron 1994 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

Max Range: 4.6577. Min Range: -4.6577

Max Act: 4.6577. Min Act: -0.1700

Data Index: 1225675 (C4 (Web Text))

Max Activating Token Index: 450

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Text #1

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Max Act: 4.4859. Min Act: -0.1700

Data Index: 484797 (C4 (Web Text))

Max Activating Token Index: 169

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Text #2

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Max Act: 4.4390. Min Act: -0.1700

Data Index: 702512 (C4 (Web Text))

Max Activating Token Index: 854

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Text #3

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Max Act: 4.4390. Min Act: -0.1700

Data Index: 67501 (C4 (Web Text))

Max Activating Token Index: 326

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Text #4

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Max Act: 4.3452. Min Act: -0.1700

Data Index: 1108614 (C4 (Web Text))

Max Activating Token Index: 968

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Text #5

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Data Index: 222240 (C4 (Web Text))

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Text #6

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Data Index: 1264751 (C4 (Web Text))

Max Activating Token Index: 741

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Text #7

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Data Index: 96491 (C4 (Web Text))

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Text #8

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Data Index: 880950 (C4 (Web Text))

Max Activating Token Index: 940

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Text #9

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Data Index: 383367 (C4 (Web Text))

Max Activating Token Index: 57

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Text #10

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Data Index: 716794 (C4 (Web Text))

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Text #11

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Data Index: 1175643 (C4 (Web Text))

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Text #12

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Data Index: 461651 (C4 (Web Text))

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Text #13

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Data Index: 470745 (C4 (Web Text))

Max Activating Token Index: 404

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Text #14

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Text #15

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Data Index: 847402 (C4 (Web Text))

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Text #16

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Data Index: 236661 (C4 (Web Text))

Max Activating Token Index: 283

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Text #17

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Data Index: 628020 (C4 (Web Text))

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Text #18

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Data Index: 481523 (C4 (Web Text))

Max Activating Token Index: 841

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Text #19

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Data Index: 1171401 (C4 (Web Text))

Max Activating Token Index: 372

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