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

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

Neuron 2031 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

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Max Act: 3.6833. Min Act: -0.1700

Data Index: 765415 (C4 (Web Text))

Max Activating Token Index: 28

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Text #1

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Data Index: 1255403 (C4 (Web Text))

Max Activating Token Index: 48

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Text #2

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Max Act: 3.6050. Min Act: -0.1700

Data Index: 1142221 (C4 (Web Text))

Max Activating Token Index: 300

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Text #3

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Max Act: 3.5580. Min Act: -0.1700

Data Index: 311850 (C4 (Web Text))

Max Activating Token Index: 314

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Text #4

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Max Act: 3.5737. Min Act: -0.1700

Data Index: 926167 (C4 (Web Text))

Max Activating Token Index: 970

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Text #5

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Max Act: 3.5580. Min Act: -0.1700

Data Index: 415481 (C4 (Web Text))

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Text #6

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Data Index: 692487 (C4 (Web Text))

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Text #7

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Data Index: 1129145 (C4 (Web Text))

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Text #8

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Max Act: 3.5111. Min Act: -0.1700

Data Index: 711166 (C4 (Web Text))

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Text #9

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Data Index: 530542 (C4 (Web Text))

Max Activating Token Index: 884

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Text #10

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Data Index: 1188034 (C4 (Web Text))

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Text #11

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Data Index: 756968 (C4 (Web Text))

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Text #12

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Data Index: 311433 (C4 (Web Text))

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Text #13

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Data Index: 395038 (C4 (Web Text))

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Text #14

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Text #15

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Max Act: 3.5111. Min Act: -0.1700

Data Index: 412942 (C4 (Web Text))

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Text #16

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Data Index: 720576 (C4 (Web Text))

Max Activating Token Index: 313

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Text #17

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Data Index: 132849 (C4 (Web Text))

Max Activating Token Index: 622

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Text #18

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Data Index: 394452 (C4 (Web Text))

Max Activating Token Index: 530

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Text #19

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Data Index: 33468 (C4 (Web Text))

Max Activating Token Index: 250

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