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

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

Neuron 2000 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

Max Range: 6.4828. Min Range: -6.4828

Max Act: 6.4828. Min Act: -0.1700

Data Index: 138927 (C4 (Web Text))

Max Activating Token Index: 985

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Text #1

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Max Act: 6.2641. Min Act: -0.1700

Data Index: 1287514 (C4 (Web Text))

Max Activating Token Index: 379

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Text #2

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Max Act: 6.2641. Min Act: -0.1700

Data Index: 186949 (C4 (Web Text))

Max Activating Token Index: 922

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Text #3

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Max Act: 6.2328. Min Act: -0.1700

Data Index: 1008223 (C4 (Web Text))

Max Activating Token Index: 927

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Text #4

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Data Index: 609418 (C4 (Web Text))

Max Activating Token Index: 119

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Text #5

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Data Index: 814568 (C4 (Web Text))

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Text #6

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Data Index: 1333185 (C4 (Web Text))

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Text #7

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Data Index: 1134797 (C4 (Web Text))

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Text #8

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Data Index: 843342 (C4 (Web Text))

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Text #9

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Data Index: 427605 (C4 (Web Text))

Max Activating Token Index: 499

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Text #10

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Data Index: 825165 (C4 (Web Text))

Max Activating Token Index: 927

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Text #11

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Text #12

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Data Index: 401054 (C4 (Web Text))

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Text #13

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Data Index: 1086319 (C4 (Web Text))

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Text #14

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Text #15

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Max Act: 6.2016. Min Act: -0.1700

Data Index: 269743 (C4 (Web Text))

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Text #16

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Max Activating Token Index: 397

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Text #17

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Data Index: 700387 (C4 (Web Text))

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Text #18

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Data Index: 796421 (C4 (Web Text))

Max Activating Token Index: 200

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Text #19

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Data Index: 877443 (C4 (Web Text))

Max Activating Token Index: 526

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