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

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

Neuron 65 in Layer 0

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



Text #0

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Max Act: 2.7072. Min Act: -0.1700

Data Index: 1537010 (Python Code)

Max Activating Token Index: 10

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Text #1

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Data Index: 1377037 (Python Code)

Max Activating Token Index: 36

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Max Act: 2.6110. Min Act: -0.1700

Data Index: 1466002 (Python Code)

Max Activating Token Index: 23

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Text #3

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Data Index: 1387010 (Python Code)

Max Activating Token Index: 272

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Text #4

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Data Index: 1650027 (Python Code)

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Text #5

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Data Index: 1432611 (Python Code)

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Text #6

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Data Index: 779834 (C4 (Web Text))

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Text #7

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Data Index: 1596225 (Python Code)

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Text #8

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Data Index: 1431034 (Python Code)

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Text #9

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Data Index: 1444569 (Python Code)

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Text #10

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Data Index: 447341 (C4 (Web Text))

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Text #11

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Data Index: 1571712 (Python Code)

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Data Index: 1414164 (Python Code)

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Data Index: 1487577 (Python Code)

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Text #14

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Data Index: 1654815 (Python Code)

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Data Index: 1476266 (Python Code)

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Text #16

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Data Index: 1407361 (Python Code)

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Text #17

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Data Index: 1595125 (Python Code)

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Text #18

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Data Index: 1385550 (Python Code)

Max Activating Token Index: 393

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Data Index: 1522230 (Python Code)

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