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

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

Neuron 2043 in Layer 0

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

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Text #0

Max Range: 3.8827. Min Range: -3.8827

Max Act: 3.8827. Min Act: -0.1666

Data Index: 1457463 (Python Code)

Max Activating Token Index: 913

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Text #1

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Max Act: 3.8165. Min Act: -0.1700

Data Index: 1276805 (C4 (Web Text))

Max Activating Token Index: 985

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Text #2

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Max Act: 3.7844. Min Act: -0.1666

Data Index: 1491250 (Python Code)

Max Activating Token Index: 626

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Text #3

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Max Act: 3.8053. Min Act: -0.1666

Data Index: 1653404 (Python Code)

Max Activating Token Index: 532

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Text #4

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Max Act: 3.7884. Min Act: -0.1694

Data Index: 746752 (C4 (Web Text))

Max Activating Token Index: 958

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Text #5

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Data Index: 1390097 (Python Code)

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Text #6

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Data Index: 262008 (C4 (Web Text))

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Text #7

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Data Index: 1282251 (C4 (Web Text))

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Text #8

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Data Index: 1649084 (Python Code)

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Text #9

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Data Index: 1352302 (C4 (Web Text))

Max Activating Token Index: 835

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Text #10

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Data Index: 608764 (C4 (Web Text))

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Text #11

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Data Index: 1444382 (Python Code)

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Text #12

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Data Index: 1353384 (C4 (Web Text))

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Text #13

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Data Index: 1325428 (C4 (Web Text))

Max Activating Token Index: 647

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Text #14

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Data Index: 1470622 (Python Code)

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Text #15

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Data Index: 1571004 (Python Code)

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Text #16

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Data Index: 1410411 (Python Code)

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Text #17

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Data Index: 1570095 (Python Code)

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Text #18

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Data Index: 1522444 (Python Code)

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Text #19

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Data Index: 1605799 (Python Code)

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