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

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

Neuron 359 in Layer 1

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



Text #0

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Max Act: 4.1732. Min Act: -0.1700

Data Index: 1427284 (Python Code)

Max Activating Token Index: 991

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Text #1

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Data Index: 1365385 (Python Code)

Max Activating Token Index: 819

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Text #2

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Max Act: 4.1420. Min Act: -0.1700

Data Index: 1569948 (Python Code)

Max Activating Token Index: 864

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Text #3

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Data Index: 1413441 (Python Code)

Max Activating Token Index: 965

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Text #4

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Data Index: 696565 (C4 (Web Text))

Max Activating Token Index: 124

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Text #5

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Data Index: 1502017 (Python Code)

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Data Index: 1638933 (Python Code)

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Text #7

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Data Index: 1376251 (Python Code)

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Text #8

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Data Index: 1413987 (Python Code)

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Text #9

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Data Index: 1579585 (Python Code)

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Text #10

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Data Index: 1401591 (Python Code)

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Text #11

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Data Index: 1473785 (Python Code)

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Data Index: 1570018 (Python Code)

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Text #13

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Data Index: 1410896 (Python Code)

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Text #14

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Data Index: 729205 (C4 (Web Text))

Max Activating Token Index: 852

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Text #15

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Data Index: 1529464 (Python Code)

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Text #16

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Text #17

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Data Index: 1528397 (Python Code)

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Text #18

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Data Index: 1468407 (Python Code)

Max Activating Token Index: 224

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Text #19

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Data Index: 1498092 (Python Code)

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