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

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

Neuron 106 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 4.2179. Min Range: -4.2179

Max Act: 4.1866. Min Act: -0.1700

Data Index: 1170364 (C4 (Web Text))

Max Activating Token Index: 890

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Text #1

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Max Act: 4.2179. Min Act: -0.1700

Data Index: 987492 (C4 (Web Text))

Max Activating Token Index: 631

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Text #2

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Max Act: 4.0929. Min Act: -0.1700

Data Index: 5165 (C4 (Web Text))

Max Activating Token Index: 556

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Text #3

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Max Act: 4.0303. Min Act: -0.1700

Data Index: 626017 (C4 (Web Text))

Max Activating Token Index: 455

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Text #4

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Max Act: 3.9678. Min Act: -0.1700

Data Index: 797186 (C4 (Web Text))

Max Activating Token Index: 279

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Text #5

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Max Act: 4.0303. Min Act: -0.1700

Data Index: 250439 (C4 (Web Text))

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Text #6

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Data Index: 159489 (C4 (Web Text))

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Text #7

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Data Index: 612871 (C4 (Web Text))

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Text #8

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Data Index: 327295 (C4 (Web Text))

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Text #9

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Data Index: 1115655 (C4 (Web Text))

Max Activating Token Index: 710

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Text #10

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Data Index: 520880 (C4 (Web Text))

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Text #11

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Data Index: 101364 (C4 (Web Text))

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Text #12

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Data Index: 208805 (C4 (Web Text))

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Text #13

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Data Index: 121687 (C4 (Web Text))

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Text #14

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Data Index: 342168 (C4 (Web Text))

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Text #15

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Max Act: 3.9053. Min Act: -0.1700

Data Index: 379728 (C4 (Web Text))

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Text #16

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Data Index: 1584983 (Python Code)

Max Activating Token Index: 936

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Text #17

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Data Index: 1551632 (Python Code)

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Text #18

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Max Act: 3.8271. Min Act: -0.1700

Data Index: 949177 (C4 (Web Text))

Max Activating Token Index: 946

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Text #19

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Max Act: 3.8584. Min Act: -0.1700

Data Index: 320499 (C4 (Web Text))

Max Activating Token Index: 839

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