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

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

Neuron 1986 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

Max Range: 4.3107. Min Range: -4.3107

Max Act: 4.3107. Min Act: -0.1700

Data Index: 179387 (C4 (Web Text))

Max Activating Token Index: 119

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Text #1

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Max Act: 3.9669. Min Act: -0.1700

Data Index: 139783 (C4 (Web Text))

Max Activating Token Index: 809

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Text #2

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Max Act: 3.9669. Min Act: -0.1700

Data Index: 1049310 (C4 (Web Text))

Max Activating Token Index: 564

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Text #3

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Max Act: 3.9043. Min Act: -0.1700

Data Index: 891000 (C4 (Web Text))

Max Activating Token Index: 381

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Text #4

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Max Act: 3.9356. Min Act: -0.1700

Data Index: 901595 (C4 (Web Text))

Max Activating Token Index: 215

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Text #5

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Max Act: 3.8730. Min Act: -0.1700

Data Index: 598699 (C4 (Web Text))

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Text #6

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Data Index: 251895 (C4 (Web Text))

Max Activating Token Index: 182

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Text #7

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Data Index: 16219 (C4 (Web Text))

Max Activating Token Index: 329

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Text #8

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Data Index: 745264 (C4 (Web Text))

Max Activating Token Index: 865

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Text #9

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Data Index: 717790 (C4 (Web Text))

Max Activating Token Index: 535

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Text #10

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Data Index: 239405 (C4 (Web Text))

Max Activating Token Index: 711

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Text #11

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Text #12

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Data Index: 753825 (C4 (Web Text))

Max Activating Token Index: 549

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Text #13

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Data Index: 72776 (C4 (Web Text))

Max Activating Token Index: 622

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Text #14

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Text #15

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Data Index: 945300 (C4 (Web Text))

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Text #16

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Max Activating Token Index: 965

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Text #17

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Data Index: 417546 (C4 (Web Text))

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Text #18

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Data Index: 382055 (C4 (Web Text))

Max Activating Token Index: 323

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Text #19

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Data Index: 279227 (C4 (Web Text))

Max Activating Token Index: 616

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