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

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

Neuron 1933 in Layer 0

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

Text #0

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Max Act: 3.3798. Min Act: -0.1700

Data Index: 1641948 (Python Code)

Max Activating Token Index: 512

Text #1

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Data Index: 1361781 (Python Code)

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Text #2

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Data Index: 1439139 (Python Code)

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Text #3

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Data Index: 1463642 (Python Code)

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Text #4

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Data Index: 1535803 (Python Code)

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Text #5

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Data Index: 1406455 (Python Code)

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Text #6

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Data Index: 1390532 (Python Code)

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Text #7

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Data Index: 1384958 (Python Code)

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Data Index: 1569561 (Python Code)

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Text #9

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Data Index: 1431915 (Python Code)

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Text #10

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Text #11

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Text #12

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Text #13

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Data Index: 1541214 (Python Code)

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Text #14

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Data Index: 1496415 (Python Code)

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Text #15

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Data Index: 1494398 (Python Code)

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Text #16

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Text #17

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Text #18

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Data Index: 1649599 (Python Code)

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Text #19

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Data Index: 1376402 (Python Code)

Max Activating Token Index: 632