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

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

Neuron 1353 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 4.4772. Min Act: -0.1700

Data Index: 33218 (C4 (Web Text))

Max Activating Token Index: 64

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Text #1

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Max Act: 4.4772. Min Act: -0.1700

Data Index: 962050 (C4 (Web Text))

Max Activating Token Index: 37

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Text #2

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Max Act: 4.4147. Min Act: -0.1700

Data Index: 849812 (C4 (Web Text))

Max Activating Token Index: 103

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Text #3

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Max Act: 4.4616. Min Act: -0.1700

Data Index: 567355 (C4 (Web Text))

Max Activating Token Index: 105

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Text #4

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Max Act: 4.4616. Min Act: -0.1700

Data Index: 910989 (C4 (Web Text))

Max Activating Token Index: 105

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Text #5

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Max Act: 4.4460. Min Act: -0.1700

Data Index: 1185290 (C4 (Web Text))

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Text #6

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Data Index: 626912 (C4 (Web Text))

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Text #7

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Data Index: 1330453 (C4 (Web Text))

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Text #8

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Data Index: 736473 (C4 (Web Text))

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Text #9

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Data Index: 1381997 (Python Code)

Max Activating Token Index: 806

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Text #10

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Data Index: 255811 (C4 (Web Text))

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Text #11

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Data Index: 1646918 (Python Code)

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Text #12

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Data Index: 203532 (C4 (Web Text))

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Text #13

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Data Index: 1341621 (C4 (Web Text))

Max Activating Token Index: 139

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Text #14

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Text #15

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Data Index: 632697 (C4 (Web Text))

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Text #16

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Data Index: 1073275 (C4 (Web Text))

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Text #17

Max Range: 4.4772. Min Range: -4.4772

Max Act: 4.3678. Min Act: -0.1700

Data Index: 1027889 (C4 (Web Text))

Max Activating Token Index: 183

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Text #18

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Max Act: 4.3209. Min Act: -0.1700

Data Index: 1155663 (C4 (Web Text))

Max Activating Token Index: 140

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Text #19

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Data Index: 463682 (C4 (Web Text))

Max Activating Token Index: 158

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