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

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

Neuron 2032 in Layer 2

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: 4.7888. Min Act: -0.1700

Data Index: 189955 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Data Index: 780758 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #2

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Data Index: 1157252 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #3

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Data Index: 309842 (C4 (Web Text))

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Data Index: 319965 (C4 (Web Text))

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Text #5

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Data Index: 728224 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Data Index: 1213529 (C4 (Web Text))

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Text #9

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Data Index: 1075737 (C4 (Web Text))

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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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Data Index: 89400 (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: 801212 (C4 (Web Text))

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Text #18

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Data Index: 659643 (C4 (Web Text))

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Text #19

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Data Index: 471814 (C4 (Web Text))

Max Activating Token Index: 1023

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