Model: GELU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 833 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('gelu-1l')

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Text #0

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Max Act: 3.4418. Min Act: -0.1700

Data Index: 1122751 (C4 (Web Text))

Max Activating Token Index: 615

Text #1

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Max Act: 3.4139. Min Act: -0.1700

Data Index: 1384145 (Python Code)

Max Activating Token Index: 828

Text #2

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Max Act: 3.3744. Min Act: -0.1700

Data Index: 1622025 (Python Code)

Max Activating Token Index: 605

Text #3

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Data Index: 283670 (C4 (Web Text))

Max Activating Token Index: 477

Text #4

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Data Index: 1438892 (Python Code)

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Text #5

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Text #6

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Max Activating Token Index: 660

Text #7

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Text #8

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Data Index: 1531627 (Python Code)

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Text #9

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Data Index: 1423617 (Python Code)

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Text #10

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Text #11

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Data Index: 1510092 (Python Code)

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Text #12

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Data Index: 1336565 (C4 (Web Text))

Max Activating Token Index: 314

Text #13

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Data Index: 1418381 (Python Code)

Max Activating Token Index: 270

Text #14

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Data Index: 1440715 (Python Code)

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 354

Text #19

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Data Index: 668052 (C4 (Web Text))

Max Activating Token Index: 307