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

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

Neuron 1841 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: 4.7057. Min Act: -0.1700

Data Index: 404333 (C4 (Web Text))

Max Activating Token Index: 392

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Text #1

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Data Index: 603273 (C4 (Web Text))

Max Activating Token Index: 671

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Text #2

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Max Act: 4.6745. Min Act: -0.1700

Data Index: 1416677 (Python Code)

Max Activating Token Index: 899

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Text #3

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Data Index: 1599690 (Python Code)

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Text #4

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Data Index: 1220821 (C4 (Web Text))

Max Activating Token Index: 58

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Text #5

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Text #6

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Data Index: 592615 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1213427 (C4 (Web Text))

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Text #9

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Data Index: 941332 (C4 (Web Text))

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 789131 (C4 (Web Text))

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Text #18

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Data Index: 1122428 (C4 (Web Text))

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Text #19

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Data Index: 684299 (C4 (Web Text))

Max Activating Token Index: 809

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