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

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

Neuron 1280 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: 4.2325. Min Range: -4.2325

Max Act: 4.1700. Min Act: -0.1700

Data Index: 1353901 (C4 (Web Text))

Max Activating Token Index: 854

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Text #1

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Max Act: 4.2325. Min Act: -0.1700

Data Index: 1588219 (Python Code)

Max Activating Token Index: 538

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Text #2

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Max Act: 4.1856. Min Act: -0.1700

Data Index: 537702 (C4 (Web Text))

Max Activating Token Index: 669

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Text #3

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Max Act: 4.1856. Min Act: -0.1700

Data Index: 269229 (C4 (Web Text))

Max Activating Token Index: 927

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Text #4

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Max Act: 4.1387. Min Act: -0.1700

Data Index: 38018 (C4 (Web Text))

Max Activating Token Index: 863

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Text #5

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Max Act: 4.2013. Min Act: -0.1700

Data Index: 70850 (C4 (Web Text))

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Text #6

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Data Index: 1259260 (C4 (Web Text))

Max Activating Token Index: 914

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Text #7

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Data Index: 1086415 (C4 (Web Text))

Max Activating Token Index: 666

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Text #8

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Max Act: 4.0762. Min Act: -0.1700

Data Index: 1385725 (Python Code)

Max Activating Token Index: 805

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Text #9

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Data Index: 1232592 (C4 (Web Text))

Max Activating Token Index: 253

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Text #10

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Data Index: 441429 (C4 (Web Text))

Max Activating Token Index: 507

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Text #11

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Data Index: 331181 (C4 (Web Text))

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Text #12

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Data Index: 311708 (C4 (Web Text))

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Text #13

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Max Act: 4.0918. Min Act: -0.1700

Data Index: 30683 (C4 (Web Text))

Max Activating Token Index: 742

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Text #14

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Text #15

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Max Act: 4.0762. Min Act: -0.1700

Data Index: 610194 (C4 (Web Text))

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Text #16

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Data Index: 1026228 (C4 (Web Text))

Max Activating Token Index: 329

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Text #17

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Max Act: 3.9824. Min Act: -0.1700

Data Index: 101310 (C4 (Web Text))

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Text #18

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Data Index: 1144210 (C4 (Web Text))

Max Activating Token Index: 673

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Text #19

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Max Act: 4.0293. Min Act: -0.1700

Data Index: 1145383 (C4 (Web Text))

Max Activating Token Index: 804

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