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Model: GELU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 1750 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('gelu-1l')

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Text #0

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Max Act: 3.2095. Min Act: -0.1700

Data Index: 1415509 (Python Code)

Max Activating Token Index: 102

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Text #1

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Data Index: 1386186 (Python Code)

Max Activating Token Index: 407

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Data Index: 1596809 (Python Code)

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Data Index: 1369011 (Python Code)

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Data Index: 1458589 (Python Code)

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Data Index: 1472284 (Python Code)

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Data Index: 1507554 (Python Code)

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Text #7

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Text #8

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Data Index: 127070 (C4 (Web Text))

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Text #9

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Data Index: 1381117 (Python Code)

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Data Index: 1548688 (Python Code)

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Data Index: 1027338 (C4 (Web Text))

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Text #14

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Text #16

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