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Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 193 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')



Text #0

Max Range: 3.2387. Min Range: -3.2387

Max Act: 3.2387. Min Act: -0.1700

Data Index: 675916 (C4 (Web Text))

Max Activating Token Index: 420

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Text #1

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Max Act: 3.0339. Min Act: -0.1700

Data Index: 849268 (C4 (Web Text))

Max Activating Token Index: 1005

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Text #2

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Max Act: 2.9706. Min Act: -0.1700

Data Index: 578395 (C4 (Web Text))

Max Activating Token Index: 351

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Text #3

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Max Act: 2.9706. Min Act: -0.1700

Data Index: 619186 (C4 (Web Text))

Max Activating Token Index: 886

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Text #4

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Max Act: 2.9390. Min Act: -0.1700

Data Index: 842037 (C4 (Web Text))

Max Activating Token Index: 589

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Text #5

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Max Act: 2.9231. Min Act: -0.1700

Data Index: 1361042 (Python Code)

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Text #6

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Data Index: 430221 (C4 (Web Text))

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Text #7

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Data Index: 1353991 (C4 (Web Text))

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Text #8

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Data Index: 1088196 (C4 (Web Text))

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Text #9

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Max Act: 2.9073. Min Act: -0.1700

Data Index: 618619 (C4 (Web Text))

Max Activating Token Index: 593

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Text #10

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Data Index: 1619961 (Python Code)

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Text #11

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Data Index: 1268138 (C4 (Web Text))

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Text #12

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Data Index: 1499079 (Python Code)

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Text #13

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Data Index: 1305140 (C4 (Web Text))

Max Activating Token Index: 428

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Text #14

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Text #15

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Max Act: 2.8437. Min Act: -0.1700

Data Index: 339369 (C4 (Web Text))

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Text #16

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Data Index: 983472 (C4 (Web Text))

Max Activating Token Index: 733

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Text #17

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Data Index: 208855 (C4 (Web Text))

Max Activating Token Index: 894

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Text #18

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Max Act: 2.8278. Min Act: -0.1700

Data Index: 596975 (C4 (Web Text))

Max Activating Token Index: 732

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Text #19

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Max Act: 2.8596. Min Act: -0.1700

Data Index: 1217951 (C4 (Web Text))

Max Activating Token Index: 920

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