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Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1120 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')



Text #0

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Max Act: 4.3585. Min Act: -0.1700

Data Index: 1547995 (Python Code)

Max Activating Token Index: 60

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Text #1

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Max Act: 4.2960. Min Act: -0.1700

Data Index: 967566 (C4 (Web Text))

Max Activating Token Index: 91

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Text #2

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Max Act: 4.2648. Min Act: -0.1700

Data Index: 203439 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #3

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Max Act: 4.2335. Min Act: -0.1700

Data Index: 1338600 (C4 (Web Text))

Max Activating Token Index: 308

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Text #4

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Max Act: 4.2023. Min Act: -0.1700

Data Index: 272004 (C4 (Web Text))

Max Activating Token Index: 269

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Text #5

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Max Act: 4.2648. Min Act: -0.1700

Data Index: 203891 (C4 (Web Text))

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Text #6

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Data Index: 1446051 (Python Code)

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Text #7

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Data Index: 1243086 (C4 (Web Text))

Max Activating Token Index: 990

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Text #8

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Max Act: 4.1710. Min Act: -0.1700

Data Index: 227454 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #9

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Data Index: 902842 (C4 (Web Text))

Max Activating Token Index: 841

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Text #10

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Data Index: 639616 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1139151 (C4 (Web Text))

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Text #13

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Data Index: 173460 (C4 (Web Text))

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Text #14

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Data Index: 385592 (C4 (Web Text))

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Text #15

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Data Index: 195333 (C4 (Web Text))

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Text #16

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Data Index: 639912 (C4 (Web Text))

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Text #17

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Data Index: 660716 (C4 (Web Text))

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Text #18

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Max Act: 4.1085. Min Act: -0.1700

Data Index: 707656 (C4 (Web Text))

Max Activating Token Index: 259

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Text #19

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Data Index: 934159 (C4 (Web Text))

Max Activating Token Index: 735

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