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

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

Neuron 4 in Layer 0

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



Text #0

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Max Act: 3.2053. Min Act: -0.1700

Data Index: 1623494 (Python Code)

Max Activating Token Index: 13

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Text #1

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Max Act: 3.1739. Min Act: -0.1700

Data Index: 1472817 (Python Code)

Max Activating Token Index: 951

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Text #2

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Max Act: 3.1896. Min Act: -0.1700

Data Index: 1570221 (Python Code)

Max Activating Token Index: 1008

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Text #3

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Data Index: 1457114 (Python Code)

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Text #4

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Data Index: 1594856 (Python Code)

Max Activating Token Index: 51

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Text #5

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Data Index: 1569650 (Python Code)

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Data Index: 1638418 (Python Code)

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Text #7

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Data Index: 1479709 (Python Code)

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Text #8

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Data Index: 1493501 (Python Code)

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Data Index: 1408914 (Python Code)

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Data Index: 1557277 (Python Code)

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Data Index: 1638215 (Python Code)

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Data Index: 1602720 (Python Code)

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Data Index: 1458229 (Python Code)

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Text #14

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Data Index: 1618098 (Python Code)

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Text #15

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Data Index: 1541061 (Python Code)

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Text #16

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Data Index: 1445594 (Python Code)

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Text #17

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Data Index: 1546310 (Python Code)

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Text #18

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Data Index: 1381025 (Python Code)

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Data Index: 1374156 (Python Code)

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