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

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

Neuron 12 in Layer 0

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

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Text #0

Max Range: 4.6015. Min Range: -4.6015

Max Act: 4.6015. Min Act: -0.1697

Data Index: 1429167 (Python Code)

Max Activating Token Index: 728

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Text #1

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Max Act: 4.5373. Min Act: -0.1700

Data Index: 1380476 (Python Code)

Max Activating Token Index: 975

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Text #2

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Max Act: 4.3956. Min Act: -0.1700

Data Index: 1008779 (C4 (Web Text))

Max Activating Token Index: 932

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Text #3

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Max Act: 4.4121. Min Act: -0.1699

Data Index: 361069 (C4 (Web Text))

Max Activating Token Index: 179

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Text #4

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Max Act: 4.3654. Min Act: -0.1700

Data Index: 174230 (C4 (Web Text))

Max Activating Token Index: 285

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Text #5

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Max Act: 4.2949. Min Act: -0.1700

Data Index: 81746 (C4 (Web Text))

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Text #6

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Data Index: 815867 (C4 (Web Text))

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Text #7

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Data Index: 1566046 (Python Code)

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Text #8

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Data Index: 1548690 (Python Code)

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Text #9

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Data Index: 1561088 (Python Code)

Max Activating Token Index: 292

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Text #10

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Data Index: 1099671 (C4 (Web Text))

Max Activating Token Index: 590

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Text #11

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Data Index: 1581798 (Python Code)

Max Activating Token Index: 847

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Text #12

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Data Index: 1428462 (Python Code)

Max Activating Token Index: 900

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Text #13

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Data Index: 1641331 (Python Code)

Max Activating Token Index: 909

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Text #14

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Data Index: 740226 (C4 (Web Text))

Max Activating Token Index: 627

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Text #15

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Data Index: 28081 (C4 (Web Text))

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Text #16

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Data Index: 955819 (C4 (Web Text))

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Text #17

Max Range: 4.6015. Min Range: -4.6015

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Data Index: 951384 (C4 (Web Text))

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Text #18

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Data Index: 554966 (C4 (Web Text))

Max Activating Token Index: 122

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Text #19

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Max Act: 3.9941. Min Act: -0.1700

Data Index: 68184 (C4 (Web Text))

Max Activating Token Index: 920

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