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

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

Neuron 1987 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: 4.8029. Min Range: -4.8029

Max Act: 4.8029. Min Act: -0.1700

Data Index: 1164636 (C4 (Web Text))

Max Activating Token Index: 918

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Text #1

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Max Act: 4.7716. Min Act: -0.1700

Data Index: 900387 (C4 (Web Text))

Max Activating Token Index: 873

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Text #2

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Max Act: 4.7716. Min Act: -0.1700

Data Index: 268808 (C4 (Web Text))

Max Activating Token Index: 761

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Text #3

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Max Act: 4.7404. Min Act: -0.1699

Data Index: 509216 (C4 (Web Text))

Max Activating Token Index: 534

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Text #4

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Max Act: 4.7091. Min Act: -0.1700

Data Index: 452144 (C4 (Web Text))

Max Activating Token Index: 616

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Text #5

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Data Index: 1125106 (C4 (Web Text))

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Text #6

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Data Index: 1266430 (C4 (Web Text))

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Text #7

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Data Index: 461852 (C4 (Web Text))

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Text #8

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Max Act: 4.7716. Min Act: -0.1700

Data Index: 1043415 (C4 (Web Text))

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Text #9

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Data Index: 622096 (C4 (Web Text))

Max Activating Token Index: 346

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Text #10

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Data Index: 412955 (C4 (Web Text))

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Text #11

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Data Index: 1246793 (C4 (Web Text))

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Text #12

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Data Index: 1075755 (C4 (Web Text))

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Text #13

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Data Index: 574482 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 708433 (C4 (Web Text))

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Text #16

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Data Index: 783846 (C4 (Web Text))

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Text #17

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Data Index: 1248321 (C4 (Web Text))

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Text #18

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Data Index: 1131817 (C4 (Web Text))

Max Activating Token Index: 88

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Text #19

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Data Index: 145692 (C4 (Web Text))

Max Activating Token Index: 635

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