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

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

Neuron 1186 in Layer 2

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



Text #0

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Max Act: 5.1467. Min Act: -0.1700

Data Index: 753521 (C4 (Web Text))

Max Activating Token Index: 908

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Text #1

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Max Act: 5.1467. Min Act: -0.1700

Data Index: 1524110 (Python Code)

Max Activating Token Index: 802

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Text #2

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Max Act: 5.0842. Min Act: -0.1700

Data Index: 1205148 (C4 (Web Text))

Max Activating Token Index: 799

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Text #3

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Max Act: 5.0529. Min Act: -0.1700

Data Index: 1578346 (Python Code)

Max Activating Token Index: 343

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Text #4

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Max Act: 4.9904. Min Act: -0.1700

Data Index: 1240000 (C4 (Web Text))

Max Activating Token Index: 507

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Text #5

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Max Act: 5.0217. Min Act: -0.1700

Data Index: 918867 (C4 (Web Text))

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Text #6

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Data Index: 519519 (C4 (Web Text))

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Text #7

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Data Index: 236664 (C4 (Web Text))

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Text #8

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Data Index: 578639 (C4 (Web Text))

Max Activating Token Index: 588

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Text #9

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Data Index: 363763 (C4 (Web Text))

Max Activating Token Index: 372

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Text #10

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Data Index: 1079251 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 386023 (C4 (Web Text))

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Text #13

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Data Index: 463313 (C4 (Web Text))

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Text #14

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Data Index: 991503 (C4 (Web Text))

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Text #15

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Data Index: 970388 (C4 (Web Text))

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Text #16

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Data Index: 1174959 (C4 (Web Text))

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Text #17

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Max Act: 4.9904. Min Act: -0.1700

Data Index: 1155537 (C4 (Web Text))

Max Activating Token Index: 909

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Text #18

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Max Act: 4.9279. Min Act: -0.1700

Data Index: 223344 (C4 (Web Text))

Max Activating Token Index: 470

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Text #19

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Data Index: 1060918 (C4 (Web Text))

Max Activating Token Index: 381

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