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

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

Neuron 41 in Layer 1

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: 2.9786. Min Act: -0.1700

Data Index: 459106 (C4 (Web Text))

Max Activating Token Index: 540

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Text #1

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Data Index: 114423 (C4 (Web Text))

Max Activating Token Index: 872

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Text #2

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Data Index: 1065057 (C4 (Web Text))

Max Activating Token Index: 583

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Text #3

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Data Index: 462513 (C4 (Web Text))

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Text #4

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Data Index: 447690 (C4 (Web Text))

Max Activating Token Index: 613

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Text #5

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Text #6

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Data Index: 1348459 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1040812 (C4 (Web Text))

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Text #9

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Data Index: 1029413 (C4 (Web Text))

Max Activating Token Index: 187

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Text #10

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Data Index: 246167 (C4 (Web Text))

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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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Data Index: 1328578 (C4 (Web Text))

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Text #19

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Data Index: 658285 (C4 (Web Text))

Max Activating Token Index: 753

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