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

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

Neuron 8 in Layer 0

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



Text #0

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Max Act: 4.8613. Min Act: -0.1700

Data Index: 1619003 (Python Code)

Max Activating Token Index: 306

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Text #1

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Data Index: 1651351 (Python Code)

Max Activating Token Index: 366

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Text #2

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Max Act: 4.7988. Min Act: -0.1700

Data Index: 1506146 (Python Code)

Max Activating Token Index: 18

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Text #3

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Data Index: 1638671 (Python Code)

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Text #4

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Data Index: 1634957 (Python Code)

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Data Index: 1454124 (Python Code)

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Data Index: 1588185 (Python Code)

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Text #7

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Data Index: 1446218 (Python Code)

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Text #8

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Data Index: 1606306 (Python Code)

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Text #9

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Data Index: 1549503 (Python Code)

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Data Index: 1626697 (Python Code)

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Data Index: 1638043 (Python Code)

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Data Index: 1452308 (Python Code)

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Text #14

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Text #16

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Data Index: 1499964 (Python Code)

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