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

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

Neuron 80 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: 4.9490. Min Range: -4.9490

Max Act: 4.9177. Min Act: -0.1700

Data Index: 45214 (C4 (Web Text))

Max Activating Token Index: 979

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Text #1

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Data Index: 789694 (C4 (Web Text))

Max Activating Token Index: 311

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Text #2

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Max Act: 4.9490. Min Act: -0.1700

Data Index: 981530 (C4 (Web Text))

Max Activating Token Index: 786

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Text #3

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Data Index: 607705 (C4 (Web Text))

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Text #4

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Data Index: 183522 (C4 (Web Text))

Max Activating Token Index: 996

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Text #5

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Data Index: 459954 (C4 (Web Text))

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Text #6

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Data Index: 559938 (C4 (Web Text))

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Text #7

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Data Index: 192979 (C4 (Web Text))

Max Activating Token Index: 886

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Text #8

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Data Index: 66334 (C4 (Web Text))

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Text #9

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Data Index: 518431 (C4 (Web Text))

Max Activating Token Index: 472

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Text #10

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Data Index: 635840 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1350477 (C4 (Web Text))

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Text #13

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Data Index: 1278545 (C4 (Web Text))

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Text #14

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Text #15

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Text #16

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Data Index: 652732 (C4 (Web Text))

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Text #17

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Text #18

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Data Index: 634689 (C4 (Web Text))

Max Activating Token Index: 775

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Text #19

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Data Index: 42199 (C4 (Web Text))

Max Activating Token Index: 918

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