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Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 13 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')



Text #0

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Max Act: 6.7043. Min Act: -0.1699

Data Index: 1066333 (C4 (Web Text))

Max Activating Token Index: 995

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Text #1

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Data Index: 704373 (C4 (Web Text))

Max Activating Token Index: 199

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Text #2

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Data Index: 656980 (C4 (Web Text))

Max Activating Token Index: 232

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Text #3

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Data Index: 497023 (C4 (Web Text))

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Text #4

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Data Index: 700542 (C4 (Web Text))

Max Activating Token Index: 437

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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: 1346954 (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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Data Index: 157212 (C4 (Web Text))

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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: 822468 (C4 (Web Text))

Max Activating Token Index: 436

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