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

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

Neuron 2034 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: 2.7333. Min Act: -0.1700

Data Index: 923839 (C4 (Web Text))

Max Activating Token Index: 479

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Text #1

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Max Act: 2.7173. Min Act: -0.1700

Data Index: 1352569 (C4 (Web Text))

Max Activating Token Index: 831

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Text #2

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Max Act: 2.6532. Min Act: -0.1700

Data Index: 1227807 (C4 (Web Text))

Max Activating Token Index: 886

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Text #3

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Data Index: 390257 (C4 (Web Text))

Max Activating Token Index: 26

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Text #4

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Max Act: 2.6211. Min Act: -0.1700

Data Index: 34620 (C4 (Web Text))

Max Activating Token Index: 282

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Text #5

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Data Index: 243924 (C4 (Web Text))

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Text #6

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Data Index: 340024 (C4 (Web Text))

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Text #7

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Data Index: 1262951 (C4 (Web Text))

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Text #8

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Data Index: 693647 (C4 (Web Text))

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Text #9

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Data Index: 669422 (C4 (Web Text))

Max Activating Token Index: 893

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Text #10

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Data Index: 1157240 (C4 (Web Text))

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Text #11

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Data Index: 200067 (C4 (Web Text))

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Text #12

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Data Index: 1448403 (Python Code)

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Text #13

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Data Index: 620173 (C4 (Web Text))

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Text #14

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Data Index: 858626 (C4 (Web Text))

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Text #15

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Text #16

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Data Index: 1156953 (C4 (Web Text))

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Text #17

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Max Act: 2.5889. Min Act: -0.1700

Data Index: 374502 (C4 (Web Text))

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Text #18

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Max Act: 2.6211. Min Act: -0.1700

Data Index: 487966 (C4 (Web Text))

Max Activating Token Index: 724

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Text #19

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Data Index: 1632080 (Python Code)

Max Activating Token Index: 974

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