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

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

Neuron 34 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 3.8213. Min Range: -3.8213

Max Act: 3.8213. Min Act: -0.1700

Data Index: 365641 (C4 (Web Text))

Max Activating Token Index: 429

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Text #1

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Max Act: 3.7588. Min Act: -0.1700

Data Index: 290176 (C4 (Web Text))

Max Activating Token Index: 120

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Text #2

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Max Act: 3.6649. Min Act: -0.1700

Data Index: 246891 (C4 (Web Text))

Max Activating Token Index: 832

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Text #3

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Max Act: 3.6649. Min Act: -0.1700

Data Index: 982478 (C4 (Web Text))

Max Activating Token Index: 91

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Text #4

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Max Act: 3.6805. Min Act: -0.1700

Data Index: 9680 (C4 (Web Text))

Max Activating Token Index: 734

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Text #5

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Max Act: 3.6492. Min Act: -0.1700

Data Index: 449947 (C4 (Web Text))

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Text #6

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Max Act: 3.6649. Min Act: -0.1700

Data Index: 641542 (C4 (Web Text))

Max Activating Token Index: 580

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Text #7

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Data Index: 1007114 (C4 (Web Text))

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Text #8

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Data Index: 1098580 (C4 (Web Text))

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Text #9

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Data Index: 1159602 (C4 (Web Text))

Max Activating Token Index: 409

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Text #10

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Data Index: 469506 (C4 (Web Text))

Max Activating Token Index: 265

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Text #11

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Data Index: 1175187 (C4 (Web Text))

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Text #12

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Data Index: 35348 (C4 (Web Text))

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Text #13

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Data Index: 623930 (C4 (Web Text))

Max Activating Token Index: 715

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Text #14

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Data Index: 18092 (C4 (Web Text))

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Text #15

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Data Index: 1000846 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 915933 (C4 (Web Text))

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Text #18

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Max Act: 3.5553. Min Act: -0.1700

Data Index: 916866 (C4 (Web Text))

Max Activating Token Index: 220

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Text #19

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Max Act: 3.5709. Min Act: -0.1700

Data Index: 208603 (C4 (Web Text))

Max Activating Token Index: 820

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