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

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

Neuron 1463 in Layer 0

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

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Text #0

Max Range: 3.3871. Min Range: -3.3871

Max Act: 3.3871. Min Act: -0.1700

Data Index: 1494703 (Python Code)

Max Activating Token Index: 653

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Text #1

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Data Index: 1541019 (Python Code)

Max Activating Token Index: 654

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Text #2

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Max Act: 3.2064. Min Act: -0.1700

Data Index: 1447220 (Python Code)

Max Activating Token Index: 314

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Text #3

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Data Index: 1537067 (Python Code)

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Text #4

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Data Index: 1574885 (Python Code)

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Text #5

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Data Index: 1627539 (Python Code)

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Text #7

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Text #8

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Data Index: 1378832 (Python Code)

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Text #9

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Data Index: 1437250 (Python Code)

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Text #10

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Data Index: 1253588 (C4 (Web Text))

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Text #11

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Data Index: 1457159 (Python Code)

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Data Index: 1376481 (Python Code)

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 546222 (C4 (Web Text))

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Text #18

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Text #19

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