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Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 2046 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')



Text #0

Max Range: 5.3257. Min Range: -5.3257

Max Act: 5.3257. Min Act: -0.1700

Data Index: 936690 (C4 (Web Text))

Max Activating Token Index: 922

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Text #1

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Max Act: 5.0444. Min Act: -0.1700

Data Index: 1296767 (C4 (Web Text))

Max Activating Token Index: 146

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Text #2

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Max Act: 5.1069. Min Act: -0.1700

Data Index: 820534 (C4 (Web Text))

Max Activating Token Index: 130

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Text #3

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Max Act: 5.0444. Min Act: -0.1700

Data Index: 393752 (C4 (Web Text))

Max Activating Token Index: 1022

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Text #4

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Max Act: 5.0444. Min Act: -0.1700

Data Index: 1252128 (C4 (Web Text))

Max Activating Token Index: 285

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Text #5

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Max Act: 5.1069. Min Act: -0.1700

Data Index: 987090 (C4 (Web Text))

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Text #6

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Data Index: 304084 (C4 (Web Text))

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Text #7

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Data Index: 1349930 (C4 (Web Text))

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Text #8

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Max Act: 4.9819. Min Act: -0.1700

Data Index: 738549 (C4 (Web Text))

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Text #9

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Data Index: 136317 (C4 (Web Text))

Max Activating Token Index: 459

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Text #10

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Text #11

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Data Index: 363521 (C4 (Web Text))

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Text #12

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Text #13

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Data Index: 112966 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 1248462 (C4 (Web Text))

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Text #16

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Data Index: 965810 (C4 (Web Text))

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Text #17

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Data Index: 1115250 (C4 (Web Text))

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Text #18

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Data Index: 325504 (C4 (Web Text))

Max Activating Token Index: 445

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Text #19

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Data Index: 100314 (C4 (Web Text))

Max Activating Token Index: 732

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