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

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

Neuron 748 in Layer 1

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



Text #0

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Max Act: 3.4077. Min Act: -0.1700

Data Index: 1439671 (Python Code)

Max Activating Token Index: 1023

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Text #1

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Max Act: 3.3763. Min Act: -0.1700

Data Index: 1575258 (Python Code)

Max Activating Token Index: 1023

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Text #2

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Max Act: 3.2507. Min Act: -0.1700

Data Index: 1517809 (Python Code)

Max Activating Token Index: 1023

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Text #3

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Max Act: 3.0775. Min Act: -0.1700

Data Index: 98616 (C4 (Web Text))

Max Activating Token Index: 235

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Text #4

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Data Index: 888259 (C4 (Web Text))

Max Activating Token Index: 1021

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Text #5

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Data Index: 1567013 (Python Code)

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Data Index: 1441214 (Python Code)

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Text #7

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Text #8

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Data Index: 1470286 (Python Code)

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Text #9

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Data Index: 1420975 (Python Code)

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Data Index: 1484959 (Python Code)

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Data Index: 1630401 (Python Code)

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Data Index: 1559409 (Python Code)

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Data Index: 1439452 (Python Code)

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Text #14

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Data Index: 1485577 (Python Code)

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Text #15

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Data Index: 1514532 (Python Code)

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Text #16

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Text #17

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Data Index: 1537762 (Python Code)

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Data Index: 1529625 (Python Code)

Max Activating Token Index: 1023

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Text #19

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Data Index: 1449023 (Python Code)

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