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

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

Neuron 2010 in Layer 3

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: 5.3326. Min Act: -0.1699

Data Index: 1099833 (C4 (Web Text))

Max Activating Token Index: 49

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Text #1

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Data Index: 819664 (C4 (Web Text))

Max Activating Token Index: 625

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Text #2

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Max Act: 5.0826. Min Act: -0.1700

Data Index: 564758 (C4 (Web Text))

Max Activating Token Index: 271

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Text #3

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Data Index: 888756 (C4 (Web Text))

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Text #4

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Data Index: 314948 (C4 (Web Text))

Max Activating Token Index: 851

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Text #5

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Data Index: 519420 (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: 1004176 (C4 (Web Text))

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Text #9

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Data Index: 769222 (C4 (Web Text))

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Text #10

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Data Index: 659390 (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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Data Index: 100379 (C4 (Web Text))

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Text #18

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Data Index: 526782 (C4 (Web Text))

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Text #19

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Data Index: 44489 (C4 (Web Text))

Max Activating Token Index: 742

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