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

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

Neuron 1999 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: 5.4166. Min Range: -5.4166

Max Act: 5.4166. Min Act: -0.1700

Data Index: 900180 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Max Act: 5.1354. Min Act: -0.1700

Data Index: 998497 (C4 (Web Text))

Max Activating Token Index: 825

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Text #2

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Max Act: 5.1354. Min Act: -0.1700

Data Index: 1225971 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #3

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Max Act: 5.1041. Min Act: -0.1700

Data Index: 1066047 (C4 (Web Text))

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Text #4

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Max Act: 5.0416. Min Act: -0.1700

Data Index: 738169 (C4 (Web Text))

Max Activating Token Index: 299

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Text #5

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Data Index: 1070290 (C4 (Web Text))

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Text #6

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Data Index: 253075 (C4 (Web Text))

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Text #7

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Data Index: 444925 (C4 (Web Text))

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Text #8

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Data Index: 1144536 (C4 (Web Text))

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Text #9

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Data Index: 797994 (C4 (Web Text))

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Text #10

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Data Index: 130460 (C4 (Web Text))

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Text #11

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Data Index: 171091 (C4 (Web Text))

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Text #12

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Data Index: 553766 (C4 (Web Text))

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Text #13

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Data Index: 596787 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 402465 (C4 (Web Text))

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Text #16

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Data Index: 1251402 (C4 (Web Text))

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Text #17

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Data Index: 1069579 (C4 (Web Text))

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Text #18

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Data Index: 329485 (C4 (Web Text))

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Text #19

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Data Index: 1174826 (C4 (Web Text))

Max Activating Token Index: 733

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