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Model: GELU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 357 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')



Text #0

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Max Act: 2.5009. Min Act: -0.1700

Data Index: 1368445 (Python Code)

Max Activating Token Index: 627

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Text #1

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Max Act: 2.4847. Min Act: -0.1700

Data Index: 1039828 (C4 (Web Text))

Max Activating Token Index: 731

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Text #2

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Max Act: 2.4847. Min Act: -0.1700

Data Index: 682035 (C4 (Web Text))

Max Activating Token Index: 75

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Text #3

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Max Act: 2.4847. Min Act: -0.1700

Data Index: 292184 (C4 (Web Text))

Max Activating Token Index: 15

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Text #4

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Max Act: 2.4523. Min Act: -0.1700

Data Index: 902222 (C4 (Web Text))

Max Activating Token Index: 454

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Text #5

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Max Act: 2.4523. Min Act: -0.1700

Data Index: 852257 (C4 (Web Text))

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Text #6

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Data Index: 89130 (C4 (Web Text))

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Text #7

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Data Index: 937773 (C4 (Web Text))

Max Activating Token Index: 797

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Text #8

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Data Index: 1590690 (Python Code)

Max Activating Token Index: 209

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Text #9

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Max Act: 2.4360. Min Act: -0.1700

Data Index: 1293831 (C4 (Web Text))

Max Activating Token Index: 601

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Text #10

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Data Index: 800386 (C4 (Web Text))

Max Activating Token Index: 646

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Text #11

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Data Index: 440483 (C4 (Web Text))

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Text #12

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Data Index: 70941 (C4 (Web Text))

Max Activating Token Index: 19

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Text #13

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Data Index: 10888 (C4 (Web Text))

Max Activating Token Index: 515

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Text #14

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Data Index: 539935 (C4 (Web Text))

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Text #15

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Max Act: 2.4034. Min Act: -0.1700

Data Index: 513333 (C4 (Web Text))

Max Activating Token Index: 641

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Text #16

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Data Index: 799735 (C4 (Web Text))

Max Activating Token Index: 4

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Text #17

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Data Index: 162628 (C4 (Web Text))

Max Activating Token Index: 205

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Text #18

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Max Act: 2.4197. Min Act: -0.1700

Data Index: 309396 (C4 (Web Text))

Max Activating Token Index: 862

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Text #19

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Max Act: 2.4034. Min Act: -0.1700

Data Index: 1130117 (C4 (Web Text))

Max Activating Token Index: 444

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