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

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

Neuron 51 in Layer 3

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 4.2556. Min Range: -4.2556

Max Act: 4.2556. Min Act: -0.1700

Data Index: 1308201 (C4 (Web Text))

Max Activating Token Index: 497

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Text #1

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Max Act: 4.2244. Min Act: -0.1700

Data Index: 1038776 (C4 (Web Text))

Max Activating Token Index: 1021

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Text #2

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Max Act: 4.1306. Min Act: -0.1700

Data Index: 1541567 (Python Code)

Max Activating Token Index: 243

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Text #3

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Max Act: 4.1619. Min Act: -0.1700

Data Index: 369678 (C4 (Web Text))

Max Activating Token Index: 512

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Truncated

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Text #4

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Max Act: 4.0681. Min Act: -0.1700

Data Index: 658278 (C4 (Web Text))

Max Activating Token Index: 879

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Text #5

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Max Act: 4.0524. Min Act: -0.1700

Data Index: 529818 (C4 (Web Text))

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Text #6

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Data Index: 871854 (C4 (Web Text))

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Text #7

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Data Index: 1280510 (C4 (Web Text))

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Text #8

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Data Index: 1048904 (C4 (Web Text))

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Text #9

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Data Index: 834178 (C4 (Web Text))

Max Activating Token Index: 614

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Text #10

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Data Index: 419409 (C4 (Web Text))

Max Activating Token Index: 855

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Text #11

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Text #12

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Data Index: 967454 (C4 (Web Text))

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Text #13

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Data Index: 681646 (C4 (Web Text))

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Text #14

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Data Index: 766335 (C4 (Web Text))

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Text #15

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Data Index: 1149077 (C4 (Web Text))

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Text #16

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Data Index: 739497 (C4 (Web Text))

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Text #17

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Data Index: 928324 (C4 (Web Text))

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Text #18

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Data Index: 317549 (C4 (Web Text))

Max Activating Token Index: 194

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Text #19

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Max Act: 3.9274. Min Act: -0.1700

Data Index: 1051407 (C4 (Web Text))

Max Activating Token Index: 449

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