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

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

Neuron 1976 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: 5.5845. Min Act: -0.1700

Data Index: 875405 (C4 (Web Text))

Max Activating Token Index: 910

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Text #1

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Data Index: 1033377 (C4 (Web Text))

Max Activating Token Index: 965

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Text #2

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Max Act: 5.4283. Min Act: -0.1700

Data Index: 286456 (C4 (Web Text))

Max Activating Token Index: 640

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Text #3

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Data Index: 160751 (C4 (Web Text))

Max Activating Token Index: 766

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Text #4

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Data Index: 434116 (C4 (Web Text))

Max Activating Token Index: 895

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Text #5

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Data Index: 798696 (C4 (Web Text))

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Text #6

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Data Index: 521262 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1094951 (C4 (Web Text))

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Text #9

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Data Index: 1236882 (C4 (Web Text))

Max Activating Token Index: 414

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Text #10

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Data Index: 587861 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 471221 (C4 (Web Text))

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Text #13

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Data Index: 1051668 (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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Text #17

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Data Index: 1132285 (C4 (Web Text))

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Text #18

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Data Index: 680163 (C4 (Web Text))

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Text #19

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Data Index: 967907 (C4 (Web Text))

Max Activating Token Index: 976

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