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

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

Neuron 5 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 3.4308. Min Range: -3.4308

Max Act: 3.4308. Min Act: -0.1700

Data Index: 645586 (C4 (Web Text))

Max Activating Token Index: 720

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Text #1

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Max Act: 3.3995. Min Act: -0.1700

Data Index: 570700 (C4 (Web Text))

Max Activating Token Index: 576

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Text #2

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Max Act: 3.3053. Min Act: -0.1700

Data Index: 333498 (C4 (Web Text))

Max Activating Token Index: 780

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Text #3

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Max Act: 3.2896. Min Act: -0.1700

Data Index: 327864 (C4 (Web Text))

Max Activating Token Index: 843

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Text #4

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Max Act: 3.2739. Min Act: -0.1700

Data Index: 1178593 (C4 (Web Text))

Max Activating Token Index: 340

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Text #5

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Max Act: 3.2739. Min Act: -0.1700

Data Index: 946601 (C4 (Web Text))

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Text #6

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Data Index: 98185 (C4 (Web Text))

Max Activating Token Index: 21

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Text #7

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Data Index: 1028343 (C4 (Web Text))

Max Activating Token Index: 690

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Text #8

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Data Index: 1035351 (C4 (Web Text))

Max Activating Token Index: 692

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Text #9

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Data Index: 267749 (C4 (Web Text))

Max Activating Token Index: 107

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Text #10

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Data Index: 1141404 (C4 (Web Text))

Max Activating Token Index: 565

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Text #11

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Text #12

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Data Index: 551952 (C4 (Web Text))

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Text #13

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Data Index: 762414 (C4 (Web Text))

Max Activating Token Index: 885

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Text #14

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Text #15

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Max Act: 3.2267. Min Act: -0.1700

Data Index: 597787 (C4 (Web Text))

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Text #16

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Data Index: 89091 (C4 (Web Text))

Max Activating Token Index: 993

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Text #17

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Data Index: 1151061 (C4 (Web Text))

Max Activating Token Index: 475

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Text #18

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Max Act: 3.2267. Min Act: -0.1700

Data Index: 427069 (C4 (Web Text))

Max Activating Token Index: 424

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Text #19

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Data Index: 774142 (C4 (Web Text))

Max Activating Token Index: 570

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