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

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

Neuron 1975 in Layer 0

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

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Text #0

Max Range: 4.1891. Min Range: -4.1891

Max Act: 4.1667. Min Act: -0.1700

Data Index: 1382234 (Python Code)

Max Activating Token Index: 992

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Text #1

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Max Act: 4.1891. Min Act: -0.1700

Data Index: 1495152 (Python Code)

Max Activating Token Index: 971

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Text #2

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Max Act: 4.1150. Min Act: -0.1700

Data Index: 1638655 (Python Code)

Max Activating Token Index: 714

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Text #3

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Max Act: 4.1302. Min Act: -0.1700

Data Index: 1398671 (Python Code)

Max Activating Token Index: 970

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Text #4

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Max Act: 4.1353. Min Act: -0.1700

Data Index: 1499132 (Python Code)

Max Activating Token Index: 913

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Text #5

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Max Act: 4.0996. Min Act: -0.1700

Data Index: 1421197 (Python Code)

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Text #6

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Data Index: 1654885 (Python Code)

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Text #7

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Data Index: 1593803 (Python Code)

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Text #8

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Data Index: 1424044 (Python Code)

Max Activating Token Index: 328

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Text #9

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Data Index: 1400934 (Python Code)

Max Activating Token Index: 665

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Text #10

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Data Index: 1633789 (Python Code)

Max Activating Token Index: 977

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Text #11

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Data Index: 1637782 (Python Code)

Max Activating Token Index: 892

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Text #12

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Data Index: 1377099 (Python Code)

Max Activating Token Index: 921

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Text #13

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Data Index: 1652239 (Python Code)

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Text #14

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Data Index: 1430032 (Python Code)

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Text #15

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Data Index: 1491272 (Python Code)

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Text #16

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Data Index: 1561940 (Python Code)

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Text #17

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Data Index: 1538600 (Python Code)

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Text #18

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Data Index: 1497461 (Python Code)

Max Activating Token Index: 845

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Text #19

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Data Index: 1424179 (Python Code)

Max Activating Token Index: 361

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