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

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

Neuron 22 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 5.5610. Min Range: -5.5610

Max Act: 5.5610. Min Act: -0.1700

Data Index: 283037 (C4 (Web Text))

Max Activating Token Index: 944

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Text #1

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Max Act: 5.3735. Min Act: -0.1700

Data Index: 476586 (C4 (Web Text))

Max Activating Token Index: 35

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Text #2

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Max Act: 5.3110. Min Act: -0.1700

Data Index: 91247 (C4 (Web Text))

Max Activating Token Index: 64

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Text #3

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Max Act: 5.2798. Min Act: -0.1700

Data Index: 55016 (C4 (Web Text))

Max Activating Token Index: 786

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Text #4

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Data Index: 585336 (C4 (Web Text))

Max Activating Token Index: 8

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Text #5

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Text #6

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Data Index: 123024 (C4 (Web Text))

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Text #7

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Data Index: 960290 (C4 (Web Text))

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Text #8

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Data Index: 594793 (C4 (Web Text))

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Text #9

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Data Index: 457900 (C4 (Web Text))

Max Activating Token Index: 602

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Text #10

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Data Index: 3617 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 246644 (C4 (Web Text))

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Text #13

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Data Index: 384130 (C4 (Web Text))

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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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Text #18

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Data Index: 1114431 (C4 (Web Text))

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Text #19

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Data Index: 1075177 (C4 (Web Text))

Max Activating Token Index: 434

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