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

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

Neuron 1810 in Layer 0

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

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Text #0

Max Range: 3.5721. Min Range: -3.5721

Max Act: 3.5721. Min Act: -0.1699

Data Index: 1497627 (Python Code)

Max Activating Token Index: 612

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Text #1

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Max Act: 3.5656. Min Act: -0.1700

Data Index: 251983 (C4 (Web Text))

Max Activating Token Index: 941

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Text #2

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Max Act: 3.5281. Min Act: -0.1700

Data Index: 1037170 (C4 (Web Text))

Max Activating Token Index: 527

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Text #3

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Max Act: 3.4799. Min Act: -0.1700

Data Index: 31371 (C4 (Web Text))

Max Activating Token Index: 14

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Text #4

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Max Act: 3.4462. Min Act: -0.1700

Data Index: 365971 (C4 (Web Text))

Max Activating Token Index: 9

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Text #5

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Max Act: 3.4435. Min Act: -0.1393

Data Index: 1604332 (Python Code)

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Text #6

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Data Index: 1601710 (Python Code)

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Text #7

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Data Index: 64091 (C4 (Web Text))

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Text #8

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Max Act: 3.4377. Min Act: -0.1700

Data Index: 1533958 (Python Code)

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Text #9

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Max Act: 3.4299. Min Act: -0.1700

Data Index: 1521561 (Python Code)

Max Activating Token Index: 454

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Text #10

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Data Index: 825040 (C4 (Web Text))

Max Activating Token Index: 527

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Text #11

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Data Index: 1437517 (Python Code)

Max Activating Token Index: 795

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Text #12

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Data Index: 1361212 (Python Code)

Max Activating Token Index: 68

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Text #13

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Data Index: 1465455 (Python Code)

Max Activating Token Index: 151

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Text #14

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Data Index: 1379767 (Python Code)

Max Activating Token Index: 906

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Text #15

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Data Index: 1640088 (Python Code)

Max Activating Token Index: 28

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Text #16

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Data Index: 1469276 (Python Code)

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Text #17

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Data Index: 1572690 (Python Code)

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Text #18

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Data Index: 1407850 (Python Code)

Max Activating Token Index: 772

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Text #19

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Data Index: 1573872 (Python Code)

Max Activating Token Index: 824

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