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

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

Neuron 1977 in Layer 3

Load this data into an Interactive Neuroscope

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



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Max Act: 6.5137. Min Act: -0.1700

Data Index: 551575 (C4 (Web Text))

Max Activating Token Index: 1018

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Text #1

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Data Index: 305605 (C4 (Web Text))

Max Activating Token Index: 1020

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Text #2

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Data Index: 923517 (C4 (Web Text))

Max Activating Token Index: 711

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Text #3

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Data Index: 1018712 (C4 (Web Text))

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Data Index: 98817 (C4 (Web Text))

Max Activating Token Index: 966

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Text #7

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Text #8

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Text #9

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Data Index: 557803 (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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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: 734863 (C4 (Web Text))

Max Activating Token Index: 919

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