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

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

Neuron 9 in Layer 0

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



Text #0

Max Range: 3.2967. Min Range: -3.2967

Max Act: 3.2967. Min Act: -0.1700

Data Index: 1456491 (Python Code)

Max Activating Token Index: 1009

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Text #1

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Max Act: 3.2024. Min Act: -0.1700

Data Index: 1649439 (Python Code)

Max Activating Token Index: 37

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Text #2

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Max Act: 3.1394. Min Act: -0.1700

Data Index: 908555 (C4 (Web Text))

Max Activating Token Index: 126

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Text #3

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Max Act: 3.1079. Min Act: -0.1700

Data Index: 1360745 (Python Code)

Max Activating Token Index: 770

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Text #4

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Max Act: 3.0606. Min Act: -0.1700

Data Index: 200763 (C4 (Web Text))

Max Activating Token Index: 120

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Text #5

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Data Index: 1527475 (Python Code)

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Text #6

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Data Index: 135359 (C4 (Web Text))

Max Activating Token Index: 291

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Text #7

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Data Index: 1647350 (Python Code)

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Text #8

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Data Index: 1096345 (C4 (Web Text))

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Text #9

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Data Index: 904192 (C4 (Web Text))

Max Activating Token Index: 460

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Text #10

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Data Index: 75555 (C4 (Web Text))

Max Activating Token Index: 499

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Text #11

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Data Index: 566571 (C4 (Web Text))

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Text #12

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Data Index: 1107581 (C4 (Web Text))

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Text #13

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Data Index: 668133 (C4 (Web Text))

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Text #14

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Data Index: 1284939 (C4 (Web Text))

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Text #15

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Data Index: 1045499 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1580372 (Python Code)

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Text #18

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Max Act: 2.9657. Min Act: -0.1700

Data Index: 1227385 (C4 (Web Text))

Max Activating Token Index: 133

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Text #19

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Max Act: 2.9499. Min Act: -0.1700

Data Index: 705552 (C4 (Web Text))

Max Activating Token Index: 1020

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