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

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

Neuron 60 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: 4.6070. Min Range: -4.6070

Max Act: 4.6070. Min Act: -0.1700

Data Index: 455314 (C4 (Web Text))

Max Activating Token Index: 983

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Text #1

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Data Index: 234659 (C4 (Web Text))

Max Activating Token Index: 744

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Text #2

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Data Index: 880591 (C4 (Web Text))

Max Activating Token Index: 306

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Text #3

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Data Index: 104068 (C4 (Web Text))

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Text #4

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Data Index: 196885 (C4 (Web Text))

Max Activating Token Index: 554

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Text #5

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Text #6

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Text #7

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Text #8

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Text #9

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Data Index: 21518 (C4 (Web Text))

Max Activating Token Index: 1001

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Text #10

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Text #11

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Text #12

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Text #13

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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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Text #18

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Text #19

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Data Index: 98030 (C4 (Web Text))

Max Activating Token Index: 288

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