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

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

Neuron 194 in Layer 0

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



Text #0

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Max Act: 2.2685. Min Act: -0.1700

Data Index: 1423705 (Python Code)

Max Activating Token Index: 354

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Text #1

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Max Act: 2.2355. Min Act: -0.1700

Data Index: 1390783 (Python Code)

Max Activating Token Index: 450

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Max Act: 2.1858. Min Act: -0.1700

Data Index: 1385835 (Python Code)

Max Activating Token Index: 355

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Text #3

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Data Index: 1425873 (Python Code)

Max Activating Token Index: 157

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Text #4

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Data Index: 1616004 (Python Code)

Max Activating Token Index: 268

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Data Index: 1414386 (Python Code)

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Data Index: 1529532 (Python Code)

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Text #7

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Data Index: 1578917 (Python Code)

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Text #8

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Data Index: 1362792 (Python Code)

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Text #9

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Data Index: 1640181 (Python Code)

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Text #10

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Data Index: 1578884 (Python Code)

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Text #11

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Data Index: 1369607 (Python Code)

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Text #12

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Data Index: 1573820 (Python Code)

Max Activating Token Index: 473

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Text #13

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Data Index: 1450516 (Python Code)

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Text #14

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Data Index: 1546682 (Python Code)

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Text #15

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Data Index: 1305114 (C4 (Web Text))

Max Activating Token Index: 78

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Text #16

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Data Index: 1371117 (Python Code)

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Text #17

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Data Index: 1525210 (Python Code)

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Data Index: 1527130 (Python Code)

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Text #19

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Data Index: 1365475 (Python Code)

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