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

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

Neuron 2029 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: 7.0947. Min Range: -7.0947

Max Act: 7.0947. Min Act: -0.1700

Data Index: 495573 (C4 (Web Text))

Max Activating Token Index: 979

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Text #1

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Max Act: 6.9697. Min Act: -0.1700

Data Index: 237001 (C4 (Web Text))

Max Activating Token Index: 729

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Text #2

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Max Act: 6.6572. Min Act: -0.1700

Data Index: 396271 (C4 (Web Text))

Max Activating Token Index: 640

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Text #3

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Max Act: 6.5322. Min Act: -0.1700

Data Index: 505239 (C4 (Web Text))

Max Activating Token Index: 324

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Text #4

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Max Act: 6.5010. Min Act: -0.1700

Data Index: 1122763 (C4 (Web Text))

Max Activating Token Index: 1011

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Text #5

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Data Index: 249440 (C4 (Web Text))

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Text #6

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Data Index: 678671 (C4 (Web Text))

Max Activating Token Index: 638

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Text #7

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Data Index: 583778 (C4 (Web Text))

Max Activating Token Index: 837

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Text #8

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Max Act: 6.4697. Min Act: -0.1700

Data Index: 22864 (C4 (Web Text))

Max Activating Token Index: 1000

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Text #9

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Max Act: 6.4385. Min Act: -0.1700

Data Index: 117000 (C4 (Web Text))

Max Activating Token Index: 532

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Text #10

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Data Index: 503408 (C4 (Web Text))

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Text #11

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Data Index: 977776 (C4 (Web Text))

Max Activating Token Index: 718

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Text #12

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Data Index: 1286501 (C4 (Web Text))

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Text #13

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Data Index: 552114 (C4 (Web Text))

Max Activating Token Index: 682

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Text #14

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Data Index: 92919 (C4 (Web Text))

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Text #15

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Data Index: 490367 (C4 (Web Text))

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Text #16

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Data Index: 822427 (C4 (Web Text))

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Text #17

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Data Index: 1127684 (C4 (Web Text))

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Text #18

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Max Act: 6.3135. Min Act: -0.1700

Data Index: 1896 (C4 (Web Text))

Max Activating Token Index: 578

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Text #19

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Max Act: 6.3135. Min Act: -0.1700

Data Index: 945798 (C4 (Web Text))

Max Activating Token Index: 818

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