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

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

Neuron 2027 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: 5.2907. Min Range: -5.2907

Max Act: 5.2907. Min Act: -0.1700

Data Index: 38465 (C4 (Web Text))

Max Activating Token Index: 706

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Text #1

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Max Act: 5.2282. Min Act: -0.1700

Data Index: 319693 (C4 (Web Text))

Max Activating Token Index: 720

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Text #2

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Max Act: 5.1657. Min Act: -0.1700

Data Index: 1062193 (C4 (Web Text))

Max Activating Token Index: 689

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Text #3

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Max Act: 5.1344. Min Act: -0.1700

Data Index: 801663 (C4 (Web Text))

Max Activating Token Index: 588

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Text #4

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Data Index: 1302831 (C4 (Web Text))

Max Activating Token Index: 379

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Text #5

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Data Index: 868624 (C4 (Web Text))

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Text #6

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Data Index: 1108476 (C4 (Web Text))

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Text #7

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Data Index: 608027 (C4 (Web Text))

Max Activating Token Index: 483

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Text #8

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Data Index: 98684 (C4 (Web Text))

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Text #9

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Data Index: 1228703 (C4 (Web Text))

Max Activating Token Index: 563

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Text #10

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Data Index: 652171 (C4 (Web Text))

Max Activating Token Index: 762

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Text #11

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Data Index: 274547 (C4 (Web Text))

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Text #12

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Data Index: 319226 (C4 (Web Text))

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Text #13

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Data Index: 1003821 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 1061608 (C4 (Web Text))

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Text #16

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Data Index: 850463 (C4 (Web Text))

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Text #17

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Data Index: 118266 (C4 (Web Text))

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Text #18

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Data Index: 1302370 (C4 (Web Text))

Max Activating Token Index: 795

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Text #19

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Data Index: 1063323 (C4 (Web Text))

Max Activating Token Index: 931

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