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Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 29 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')



Text #0

Max Range: 5.2513. Min Range: -5.2513

Max Act: 5.2513. Min Act: -0.1700

Data Index: 1319127 (C4 (Web Text))

Max Activating Token Index: 645

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Text #1

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Max Act: 5.1888. Min Act: -0.1700

Data Index: 1224066 (C4 (Web Text))

Max Activating Token Index: 234

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Text #2

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Max Act: 5.1575. Min Act: -0.1700

Data Index: 1225630 (C4 (Web Text))

Max Activating Token Index: 815

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Text #3

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Data Index: 1123450 (C4 (Web Text))

Max Activating Token Index: 936

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Text #4

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Data Index: 1282766 (C4 (Web Text))

Max Activating Token Index: 813

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Text #5

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Data Index: 364691 (C4 (Web Text))

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Text #6

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Data Index: 393543 (C4 (Web Text))

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Text #7

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Data Index: 66462 (C4 (Web Text))

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Text #8

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Data Index: 866685 (C4 (Web Text))

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Text #9

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Data Index: 1135311 (C4 (Web Text))

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Text #10

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Data Index: 66495 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1340644 (C4 (Web Text))

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Text #13

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Data Index: 670423 (C4 (Web Text))

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Text #14

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Data Index: 840621 (C4 (Web Text))

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Text #15

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Data Index: 1108767 (C4 (Web Text))

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Text #16

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Data Index: 1029887 (C4 (Web Text))

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Text #17

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Data Index: 1307889 (C4 (Web Text))

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Text #18

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Data Index: 883604 (C4 (Web Text))

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Text #19

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Max Act: 4.9075. Min Act: -0.1700

Data Index: 511973 (C4 (Web Text))

Max Activating Token Index: 589

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