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

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

Neuron 2012 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

Max Range: 3.8772. Min Range: -3.8772

Max Act: 3.8772. Min Act: -0.1700

Data Index: 280864 (C4 (Web Text))

Max Activating Token Index: 865

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Text #1

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Max Act: 3.8460. Min Act: -0.1700

Data Index: 557485 (C4 (Web Text))

Max Activating Token Index: 859

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Text #2

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Max Act: 3.7678. Min Act: -0.1700

Data Index: 693577 (C4 (Web Text))

Max Activating Token Index: 732

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Text #3

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Max Act: 3.7834. Min Act: -0.1700

Data Index: 266145 (C4 (Web Text))

Max Activating Token Index: 755

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Text #4

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Data Index: 78065 (C4 (Web Text))

Max Activating Token Index: 729

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Text #5

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Max Act: 3.7678. Min Act: -0.1700

Data Index: 1269044 (C4 (Web Text))

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Text #6

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Data Index: 263675 (C4 (Web Text))

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Text #7

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Data Index: 1092548 (C4 (Web Text))

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Text #8

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Data Index: 122227 (C4 (Web Text))

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Text #9

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Data Index: 1319503 (C4 (Web Text))

Max Activating Token Index: 878

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Text #10

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Data Index: 1097077 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 531880 (C4 (Web Text))

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Text #13

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Data Index: 519954 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 432551 (C4 (Web Text))

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Text #16

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Data Index: 172510 (C4 (Web Text))

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Text #17

Max Range: 3.8772. Min Range: -3.8772

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Data Index: 814616 (C4 (Web Text))

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Text #18

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Max Act: 3.7208. Min Act: -0.1700

Data Index: 623869 (C4 (Web Text))

Max Activating Token Index: 727

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Text #19

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Max Act: 3.7365. Min Act: -0.1700

Data Index: 1234560 (C4 (Web Text))

Max Activating Token Index: 128

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