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

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

Neuron 2011 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: 4.2457. Min Range: -4.2457

Max Act: 4.2457. Min Act: -0.1700

Data Index: 662565 (C4 (Web Text))

Max Activating Token Index: 225

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Text #1

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Max Act: 4.1988. Min Act: -0.1700

Data Index: 287736 (C4 (Web Text))

Max Activating Token Index: 204

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Text #2

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Max Act: 4.1520. Min Act: -0.1700

Data Index: 991423 (C4 (Web Text))

Max Activating Token Index: 66

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Text #3

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Max Act: 4.1363. Min Act: -0.1700

Data Index: 404073 (C4 (Web Text))

Max Activating Token Index: 170

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Text #4

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Max Act: 4.0425. Min Act: -0.1700

Data Index: 91007 (C4 (Web Text))

Max Activating Token Index: 657

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Text #5

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Max Act: 4.0425. Min Act: -0.1700

Data Index: 1228819 (C4 (Web Text))

Max Activating Token Index: 938

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Text #6

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Max Act: 4.0425. Min Act: -0.1700

Data Index: 524309 (C4 (Web Text))

Max Activating Token Index: 336

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Text #7

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Data Index: 1221532 (C4 (Web Text))

Max Activating Token Index: 213

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Text #8

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Max Act: 4.0582. Min Act: -0.1700

Data Index: 1170817 (C4 (Web Text))

Max Activating Token Index: 1006

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Text #9

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Max Act: 4.0425. Min Act: -0.1700

Data Index: 965055 (C4 (Web Text))

Max Activating Token Index: 59

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Text #10

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Data Index: 889260 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 815454 (C4 (Web Text))

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Text #13

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Data Index: 444878 (C4 (Web Text))

Max Activating Token Index: 195

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Text #14

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Text #15

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Data Index: 1153239 (C4 (Web Text))

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Text #16

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Data Index: 379738 (C4 (Web Text))

Max Activating Token Index: 41

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Text #17

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Max Act: 3.9331. Min Act: -0.1700

Data Index: 214224 (C4 (Web Text))

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Text #18

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Max Act: 3.9175. Min Act: -0.1700

Data Index: 1175046 (C4 (Web Text))

Max Activating Token Index: 106

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Text #19

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Max Act: 3.9175. Min Act: -0.1700

Data Index: 80803 (C4 (Web Text))

Max Activating Token Index: 197

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