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Model: GELU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1108 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')



Text #0

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Max Act: 2.7764. Min Act: -0.1700

Data Index: 1641855 (Python Code)

Max Activating Token Index: 602

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Text #1

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Max Act: 2.7605. Min Act: -0.1700

Data Index: 1537985 (Python Code)

Max Activating Token Index: 438

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Text #2

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Max Act: 2.7125. Min Act: -0.1700

Data Index: 364557 (C4 (Web Text))

Max Activating Token Index: 247

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Text #3

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Data Index: 1378395 (Python Code)

Max Activating Token Index: 456

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Data Index: 1564086 (Python Code)

Max Activating Token Index: 127

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Data Index: 1570228 (Python Code)

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Data Index: 1511331 (Python Code)

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Text #7

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Data Index: 1409383 (Python Code)

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Text #8

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Data Index: 807682 (C4 (Web Text))

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Text #9

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Data Index: 1654862 (Python Code)

Max Activating Token Index: 289

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Data Index: 1608673 (Python Code)

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Data Index: 1634470 (Python Code)

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Data Index: 1361109 (Python Code)

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Data Index: 1495207 (Python Code)

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Text #14

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Data Index: 1448694 (Python Code)

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Data Index: 1446794 (Python Code)

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Text #16

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Data Index: 1459183 (Python Code)

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Text #17

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Data Index: 1526547 (Python Code)

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Data Index: 1654190 (Python Code)

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Text #19

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Data Index: 1368581 (Python Code)

Max Activating Token Index: 754

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