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Model: GELU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 915 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')



Text #0

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Max Act: 5.2648. Min Act: -0.1700

Data Index: 669752 (C4 (Web Text))

Max Activating Token Index: 919

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Text #1

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Max Act: 5.1711. Min Act: -0.1700

Data Index: 141317 (C4 (Web Text))

Max Activating Token Index: 788

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Text #2

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Max Act: 5.0148. Min Act: -0.1700

Data Index: 1040824 (C4 (Web Text))

Max Activating Token Index: 698

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Text #3

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Max Act: 4.9523. Min Act: -0.1700

Data Index: 854335 (C4 (Web Text))

Max Activating Token Index: 280

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Text #4

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Max Act: 4.8898. Min Act: -0.1700

Data Index: 1592059 (Python Code)

Max Activating Token Index: 360

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Text #5

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Data Index: 1191995 (C4 (Web Text))

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Text #6

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Data Index: 1004772 (C4 (Web Text))

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Text #7

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Data Index: 828388 (C4 (Web Text))

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Text #8

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Data Index: 776462 (C4 (Web Text))

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Text #9

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Data Index: 917805 (C4 (Web Text))

Max Activating Token Index: 805

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Text #10

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Data Index: 143833 (C4 (Web Text))

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Text #11

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Data Index: 1445259 (Python Code)

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Text #12

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Data Index: 1431443 (Python Code)

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Text #13

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Data Index: 532079 (C4 (Web Text))

Max Activating Token Index: 487

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Text #14

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Data Index: 883577 (C4 (Web Text))

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Text #15

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Data Index: 798250 (C4 (Web Text))

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Text #16

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Data Index: 604183 (C4 (Web Text))

Max Activating Token Index: 866

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Text #17

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Data Index: 759110 (C4 (Web Text))

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Text #18

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Max Act: 4.7648. Min Act: -0.1700

Data Index: 1083312 (C4 (Web Text))

Max Activating Token Index: 936

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Text #19

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Data Index: 950889 (C4 (Web Text))

Max Activating Token Index: 483

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