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

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

Neuron 1821 in Layer 0

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



Text #0

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Max Act: 3.1346. Min Act: -0.1700

Data Index: 1583137 (Python Code)

Max Activating Token Index: 1018

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Text #1

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Max Act: 2.9926. Min Act: -0.1700

Data Index: 1401036 (Python Code)

Max Activating Token Index: 5

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Max Act: 2.9926. Min Act: -0.1700

Data Index: 1504351 (Python Code)

Max Activating Token Index: 42

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Text #3

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Max Act: 2.9451. Min Act: -0.1700

Data Index: 1476064 (Python Code)

Max Activating Token Index: 302

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Data Index: 1473960 (Python Code)

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Data Index: 1541712 (Python Code)

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Data Index: 1378405 (Python Code)

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Text #7

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Data Index: 1635954 (Python Code)

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Data Index: 1446108 (Python Code)

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Data Index: 1505697 (Python Code)

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Text #10

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Data Index: 261408 (C4 (Web Text))

Max Activating Token Index: 472

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Text #11

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Data Index: 1402765 (Python Code)

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Text #12

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Data Index: 645958 (C4 (Web Text))

Max Activating Token Index: 842

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Data Index: 1413264 (Python Code)

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Data Index: 1364418 (Python Code)

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Data Index: 1489333 (Python Code)

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Text #16

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Text #17

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Data Index: 1590011 (Python Code)

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Text #18

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Data Index: 1407954 (Python Code)

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Text #19

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Data Index: 1504957 (Python Code)

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