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

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

Neuron 1617 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

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Max Act: 4.7089. Min Act: -0.1700

Data Index: 1038638 (C4 (Web Text))

Max Activating Token Index: 820

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Text #1

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Max Act: 4.5214. Min Act: -0.1700

Data Index: 363859 (C4 (Web Text))

Max Activating Token Index: 243

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Text #2

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Max Act: 4.3339. Min Act: -0.1700

Data Index: 922568 (C4 (Web Text))

Max Activating Token Index: 165

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Text #3

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Max Act: 4.3339. Min Act: -0.1700

Data Index: 1631322 (Python Code)

Max Activating Token Index: 561

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Text #4

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Max Act: 4.3339. Min Act: -0.1700

Data Index: 1179288 (C4 (Web Text))

Max Activating Token Index: 421

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Text #5

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Max Act: 4.3652. Min Act: -0.1700

Data Index: 991408 (C4 (Web Text))

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Text #6

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Data Index: 414909 (C4 (Web Text))

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Text #7

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Data Index: 253300 (C4 (Web Text))

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Text #8

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Data Index: 1094752 (C4 (Web Text))

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Text #9

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Data Index: 1633451 (Python Code)

Max Activating Token Index: 234

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Text #10

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Data Index: 203674 (C4 (Web Text))

Max Activating Token Index: 575

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Text #11

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Data Index: 434143 (C4 (Web Text))

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Text #12

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Data Index: 116751 (C4 (Web Text))

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Text #13

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Data Index: 1181031 (C4 (Web Text))

Max Activating Token Index: 878

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Text #14

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Data Index: 703003 (C4 (Web Text))

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Text #15

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Max Act: 4.3027. Min Act: -0.1700

Data Index: 658192 (C4 (Web Text))

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Text #16

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Data Index: 1144052 (C4 (Web Text))

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Text #17

Max Range: 4.7089. Min Range: -4.7089

Max Act: 4.2714. Min Act: -0.1700

Data Index: 344367 (C4 (Web Text))

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Text #18

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Data Index: 442355 (C4 (Web Text))

Max Activating Token Index: 802

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Text #19

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Max Act: 4.2402. Min Act: -0.1700

Data Index: 1319034 (C4 (Web Text))

Max Activating Token Index: 602

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