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

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

Neuron 65 in Layer 3

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: 4.7400. Min Act: -0.1700

Data Index: 1287147 (C4 (Web Text))

Max Activating Token Index: 350

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Text #1

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Data Index: 762052 (C4 (Web Text))

Max Activating Token Index: 490

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Text #2

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Data Index: 379927 (C4 (Web Text))

Max Activating Token Index: 132

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Text #3

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Data Index: 702363 (C4 (Web Text))

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Text #4

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Data Index: 572048 (C4 (Web Text))

Max Activating Token Index: 604

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Text #5

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Text #6

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Text #7

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Text #8

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Data Index: 738293 (C4 (Web Text))

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Text #9

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Data Index: 699455 (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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Text #18

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Data Index: 1314142 (C4 (Web Text))

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Text #19

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Data Index: 464704 (C4 (Web Text))

Max Activating Token Index: 560

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