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

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

Neuron 1983 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

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Max Act: 5.5513. Min Act: -0.1700

Data Index: 173264 (C4 (Web Text))

Max Activating Token Index: 476

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Text #1

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Max Act: 5.4888. Min Act: -0.1700

Data Index: 384197 (C4 (Web Text))

Max Activating Token Index: 506

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Text #2

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Max Act: 5.5513. Min Act: -0.1700

Data Index: 33905 (C4 (Web Text))

Max Activating Token Index: 498

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Text #3

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Data Index: 305218 (C4 (Web Text))

Max Activating Token Index: 447

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Text #4

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Data Index: 265299 (C4 (Web Text))

Max Activating Token Index: 482

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Text #5

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Data Index: 1118601 (C4 (Web Text))

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Text #6

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Data Index: 1280657 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1332312 (C4 (Web Text))

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Text #9

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Data Index: 661283 (C4 (Web Text))

Max Activating Token Index: 459

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Text #10

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Data Index: 338836 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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Data Index: 1104454 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 451224 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 726932 (C4 (Web Text))

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Text #18

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Data Index: 480350 (C4 (Web Text))

Max Activating Token Index: 646

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Text #19

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Data Index: 107930 (C4 (Web Text))

Max Activating Token Index: 617

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