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

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

Neuron 1619 in Layer 3

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



Text #0

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Max Act: 6.3022. Min Act: -0.1699

Data Index: 745354 (C4 (Web Text))

Max Activating Token Index: 393

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Text #1

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Max Act: 5.9116. Min Act: -0.1699

Data Index: 968215 (C4 (Web Text))

Max Activating Token Index: 825

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Text #2

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Max Act: 5.8647. Min Act: -0.1699

Data Index: 583184 (C4 (Web Text))

Max Activating Token Index: 855

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Text #3

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Data Index: 820436 (C4 (Web Text))

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Text #4

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Data Index: 1568395 (Python Code)

Max Activating Token Index: 978

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Text #5

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Data Index: 724482 (C4 (Web Text))

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Text #6

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Data Index: 910587 (C4 (Web Text))

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Text #7

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Data Index: 124461 (C4 (Web Text))

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Text #8

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Data Index: 1283181 (C4 (Web Text))

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Text #9

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Data Index: 517618 (C4 (Web Text))

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Text #10

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Data Index: 1005236 (C4 (Web Text))

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Text #11

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Data Index: 429520 (C4 (Web Text))

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Text #12

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Data Index: 529410 (C4 (Web Text))

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Text #13

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Data Index: 182389 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 422198 (C4 (Web Text))

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Text #16

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Data Index: 430440 (C4 (Web Text))

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Text #17

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Data Index: 239724 (C4 (Web Text))

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Text #18

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Data Index: 1512166 (Python Code)

Max Activating Token Index: 793

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Text #19

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Data Index: 591354 (C4 (Web Text))

Max Activating Token Index: 258

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