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

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

Neuron 2037 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

Max Range: 5.1223. Min Range: -5.1223

Max Act: 5.0910. Min Act: -0.1700

Data Index: 1153521 (C4 (Web Text))

Max Activating Token Index: 374

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Text #1

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Data Index: 737193 (C4 (Web Text))

Max Activating Token Index: 253

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Text #2

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Max Act: 5.0285. Min Act: -0.1700

Data Index: 568389 (C4 (Web Text))

Max Activating Token Index: 488

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Text #3

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Max Act: 5.0598. Min Act: -0.1699

Data Index: 383810 (C4 (Web Text))

Max Activating Token Index: 615

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Text #4

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Max Act: 4.9660. Min Act: -0.1700

Data Index: 1129519 (C4 (Web Text))

Max Activating Token Index: 501

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Text #5

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Data Index: 1308014 (C4 (Web Text))

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Text #6

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Data Index: 772946 (C4 (Web Text))

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Text #7

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Data Index: 1058576 (C4 (Web Text))

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Text #8

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Data Index: 761140 (C4 (Web Text))

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Text #9

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Data Index: 391031 (C4 (Web Text))

Max Activating Token Index: 325

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Text #10

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Data Index: 541228 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 12609 (C4 (Web Text))

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Text #13

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Data Index: 1035264 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 140185 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1023228 (C4 (Web Text))

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Text #18

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Data Index: 381193 (C4 (Web Text))

Max Activating Token Index: 435

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Text #19

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Data Index: 119633 (C4 (Web Text))

Max Activating Token Index: 366

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