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

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

Neuron 198 in Layer 0

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



Text #0

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Max Act: 2.7907. Min Act: -0.1700

Data Index: 250511 (C4 (Web Text))

Max Activating Token Index: 399

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Text #1

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Data Index: 1516711 (Python Code)

Max Activating Token Index: 93

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Data Index: 1363263 (Python Code)

Max Activating Token Index: 369

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Data Index: 1572026 (Python Code)

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Data Index: 1608233 (Python Code)

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Data Index: 1476930 (Python Code)

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Data Index: 1620572 (Python Code)

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Text #7

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Data Index: 1498498 (Python Code)

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Text #8

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Data Index: 1499399 (Python Code)

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Data Index: 1599171 (Python Code)

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Data Index: 1637688 (Python Code)

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Data Index: 1629930 (Python Code)

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Text #14

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Data Index: 1388902 (Python Code)

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Text #16

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Data Index: 1631745 (Python Code)

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Text #19

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Data Index: 1621814 (Python Code)

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