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Model: GELU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1903 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')



Text #0

Max Range: 2.6306. Min Range: -2.6306

Max Act: 2.6306. Min Act: -0.1700

Data Index: 1410477 (Python Code)

Max Activating Token Index: 60

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Text #1

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Max Act: 2.5985. Min Act: -0.1700

Data Index: 1581096 (Python Code)

Max Activating Token Index: 366

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Text #2

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Max Act: 2.5178. Min Act: -0.1700

Data Index: 1369264 (Python Code)

Max Activating Token Index: 107

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Text #3

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Max Act: 2.5340. Min Act: -0.1700

Data Index: 1441403 (Python Code)

Max Activating Token Index: 625

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Text #4

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Max Act: 2.5016. Min Act: -0.1700

Data Index: 1478259 (Python Code)

Max Activating Token Index: 367

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Text #5

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Data Index: 1654428 (Python Code)

Max Activating Token Index: 234

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Text #6

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Data Index: 649584 (C4 (Web Text))

Max Activating Token Index: 340

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Text #7

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Data Index: 1492775 (Python Code)

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Text #8

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Data Index: 1456638 (Python Code)

Max Activating Token Index: 156

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Text #9

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Data Index: 1475622 (Python Code)

Max Activating Token Index: 124

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Text #10

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Data Index: 1551693 (Python Code)

Max Activating Token Index: 21

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Text #11

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Data Index: 1302556 (C4 (Web Text))

Max Activating Token Index: 779

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Text #12

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Data Index: 1464237 (Python Code)

Max Activating Token Index: 108

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Text #13

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Data Index: 1629132 (Python Code)

Max Activating Token Index: 452

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Text #14

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Data Index: 1463689 (Python Code)

Max Activating Token Index: 818

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Text #15

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Data Index: 1529521 (Python Code)

Max Activating Token Index: 31

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Text #16

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Data Index: 1384160 (Python Code)

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Text #17

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Data Index: 1540456 (Python Code)

Max Activating Token Index: 526

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Text #18

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Data Index: 1544017 (Python Code)

Max Activating Token Index: 166

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Text #19

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Max Act: 2.3551. Min Act: -0.1700

Data Index: 1564185 (Python Code)

Max Activating Token Index: 145

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