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

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

Neuron 1439 in Layer 0

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

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Text #0

Max Range: 3.3581. Min Range: -3.3581

Max Act: 3.3581. Min Act: -0.1700

Data Index: 1489372 (Python Code)

Max Activating Token Index: 946

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Text #1

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Max Act: 3.3189. Min Act: -0.1700

Data Index: 934893 (C4 (Web Text))

Max Activating Token Index: 19

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Text #2

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Max Act: 3.3090. Min Act: -0.1700

Data Index: 1570043 (Python Code)

Max Activating Token Index: 474

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Text #3

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Max Act: 3.2352. Min Act: -0.1700

Data Index: 1419057 (Python Code)

Max Activating Token Index: 117

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Text #4

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Max Act: 3.2143. Min Act: -0.1700

Data Index: 1039428 (C4 (Web Text))

Max Activating Token Index: 423

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Text #5

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Max Act: 3.2014. Min Act: -0.1700

Data Index: 1394430 (Python Code)

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Text #6

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Data Index: 1526097 (Python Code)

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Text #7

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Data Index: 1620429 (Python Code)

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Text #8

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Data Index: 1450365 (Python Code)

Max Activating Token Index: 130

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Text #9

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Data Index: 621416 (C4 (Web Text))

Max Activating Token Index: 115

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Text #10

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Data Index: 1455218 (Python Code)

Max Activating Token Index: 321

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Text #11

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Data Index: 1402869 (Python Code)

Max Activating Token Index: 134

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Text #12

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Data Index: 1387070 (Python Code)

Max Activating Token Index: 728

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Text #13

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Data Index: 1591604 (Python Code)

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Text #14

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Data Index: 1493831 (Python Code)

Max Activating Token Index: 476

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Text #15

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Data Index: 1640451 (Python Code)

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Text #16

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Data Index: 535881 (C4 (Web Text))

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Text #17

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Data Index: 140753 (C4 (Web Text))

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Text #18

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Data Index: 346692 (C4 (Web Text))

Max Activating Token Index: 691

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Text #19

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Data Index: 1593374 (Python Code)

Max Activating Token Index: 900

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