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

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

Neuron 28 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: 5.2800. Min Act: -0.1700

Data Index: 1343498 (C4 (Web Text))

Max Activating Token Index: 866

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Text #1

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Data Index: 229462 (C4 (Web Text))

Max Activating Token Index: 208

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Text #2

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Data Index: 1166930 (C4 (Web Text))

Max Activating Token Index: 392

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Text #3

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Data Index: 1013840 (C4 (Web Text))

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Text #4

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Data Index: 639014 (C4 (Web Text))

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Text #5

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Data Index: 688284 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Data Index: 893115 (C4 (Web Text))

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Text #9

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Data Index: 822054 (C4 (Web Text))

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Text #10

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Data Index: 1159280 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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Data Index: 1308193 (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: 1269341 (C4 (Web Text))

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Text #19

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Data Index: 407798 (C4 (Web Text))

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