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

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

Neuron 56 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 4.8763. Min Act: -0.1700

Data Index: 17611 (C4 (Web Text))

Max Activating Token Index: 670

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Text #1

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Data Index: 1016012 (C4 (Web Text))

Max Activating Token Index: 398

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Text #2

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Data Index: 850172 (C4 (Web Text))

Max Activating Token Index: 515

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Text #3

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Data Index: 1098463 (C4 (Web Text))

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Text #4

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Data Index: 603827 (C4 (Web Text))

Max Activating Token Index: 743

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Text #5

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Text #6

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Data Index: 1213233 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 82872 (C4 (Web Text))

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Text #9

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Data Index: 284000 (C4 (Web Text))

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Text #10

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Data Index: 361403 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 932185 (C4 (Web Text))

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Text #13

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Data Index: 152877 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 173132 (C4 (Web Text))

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Text #16

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Data Index: 617930 (C4 (Web Text))

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Text #17

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Data Index: 544283 (C4 (Web Text))

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Text #18

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Data Index: 1051366 (C4 (Web Text))

Max Activating Token Index: 493

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Text #19

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Data Index: 1070172 (C4 (Web Text))

Max Activating Token Index: 791

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