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Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1585 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')



Text #0

Max Range: 3.0363. Min Range: -3.0363

Max Act: 3.0363. Min Act: -0.1700

Data Index: 1646869 (Python Code)

Max Activating Token Index: 773

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Text #1

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Max Act: 2.9572. Min Act: -0.1700

Data Index: 1562313 (Python Code)

Max Activating Token Index: 935

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Text #2

Max Range: 3.0363. Min Range: -3.0363

Max Act: 2.8938. Min Act: -0.1700

Data Index: 1443179 (Python Code)

Max Activating Token Index: 653

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Text #3

Max Range: 3.0363. Min Range: -3.0363

Max Act: 2.8938. Min Act: -0.1700

Data Index: 1101104 (C4 (Web Text))

Max Activating Token Index: 324

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Text #4

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Max Act: 2.9255. Min Act: -0.1700

Data Index: 1622740 (Python Code)

Max Activating Token Index: 963

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Text #5

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Max Act: 2.8620. Min Act: -0.1700

Data Index: 1618567 (Python Code)

Max Activating Token Index: 989

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Data Index: 1496519 (Python Code)

Max Activating Token Index: 18

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Text #7

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Data Index: 1410690 (Python Code)

Max Activating Token Index: 1000

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Text #8

Max Range: 3.0363. Min Range: -3.0363

Max Act: 2.8620. Min Act: -0.1700

Data Index: 178380 (C4 (Web Text))

Max Activating Token Index: 825

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Text #9

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Data Index: 1473000 (Python Code)

Max Activating Token Index: 85

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Data Index: 1454798 (Python Code)

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Text #11

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Data Index: 1592646 (Python Code)

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Data Index: 1444138 (Python Code)

Max Activating Token Index: 671

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Data Index: 1530960 (Python Code)

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Text #14

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Data Index: 1605289 (Python Code)

Max Activating Token Index: 492

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Text #15

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Data Index: 1443289 (Python Code)

Max Activating Token Index: 387

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Text #16

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Data Index: 1540003 (Python Code)

Max Activating Token Index: 822

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Text #17

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Data Index: 1615107 (Python Code)

Max Activating Token Index: 450

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Text #18

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Data Index: 1592318 (Python Code)

Max Activating Token Index: 271

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Text #19

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Max Act: 2.7665. Min Act: -0.1700

Data Index: 1603369 (Python Code)

Max Activating Token Index: 353

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