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

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

Neuron 388 in Layer 0

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

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Text #0

Max Range: 3.3510. Min Range: -3.3510

Max Act: 3.3510. Min Act: -0.1700

Data Index: 1615450 (Python Code)

Max Activating Token Index: 26

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Text #1

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Max Act: 3.3432. Min Act: -0.1699

Data Index: 1538859 (Python Code)

Max Activating Token Index: 250

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Max Act: 3.3347. Min Act: -0.1699

Data Index: 1447083 (Python Code)

Max Activating Token Index: 411

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Text #3

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Max Act: 3.3278. Min Act: -0.1700

Data Index: 314118 (C4 (Web Text))

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Data Index: 1635671 (Python Code)

Max Activating Token Index: 580

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Data Index: 1601733 (Python Code)

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Data Index: 621630 (C4 (Web Text))

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Text #7

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Data Index: 1582878 (Python Code)

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Text #9

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Data Index: 27467 (C4 (Web Text))

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Data Index: 1528973 (Python Code)

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Data Index: 1581500 (Python Code)

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Data Index: 1369893 (Python Code)

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Text #16

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Data Index: 1040374 (C4 (Web Text))

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Data Index: 1130159 (C4 (Web Text))

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