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

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

Neuron 1516 in Layer 3

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



Text #0

Max Range: 6.2925. Min Range: -6.2925

Max Act: 6.2300. Min Act: -0.1700

Data Index: 1234994 (C4 (Web Text))

Max Activating Token Index: 970

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Text #1

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Data Index: 1588011 (Python Code)

Max Activating Token Index: 830

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Text #2

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Max Act: 6.2300. Min Act: -0.1700

Data Index: 1404273 (Python Code)

Max Activating Token Index: 23

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Text #3

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Max Act: 6.2612. Min Act: -0.1700

Data Index: 1642569 (Python Code)

Max Activating Token Index: 660

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Data Index: 1498966 (Python Code)

Max Activating Token Index: 832

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Data Index: 1527517 (Python Code)

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Data Index: 1378205 (Python Code)

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Text #7

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Data Index: 1413847 (Python Code)

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Text #8

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Data Index: 1589214 (Python Code)

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Text #9

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Data Index: 1413620 (Python Code)

Max Activating Token Index: 565

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Text #10

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Data Index: 1547539 (Python Code)

Max Activating Token Index: 591

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Text #11

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Data Index: 1645637 (Python Code)

Max Activating Token Index: 951

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Data Index: 1479138 (Python Code)

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Data Index: 1418316 (Python Code)

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Text #14

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Data Index: 1319331 (C4 (Web Text))

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Text #15

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Data Index: 1622553 (Python Code)

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Text #16

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Text #17

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Data Index: 1582115 (Python Code)

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Data Index: 1442974 (Python Code)

Max Activating Token Index: 785

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Text #19

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Data Index: 1384128 (Python Code)

Max Activating Token Index: 587

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