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Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1073 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')



Text #0

Max Range: 2.8620. Min Range: -2.8620

Max Act: 2.8620. Min Act: -0.1700

Data Index: 1581380 (Python Code)

Max Activating Token Index: 333

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Text #1

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Max Act: 2.8461. Min Act: -0.1700

Data Index: 1484880 (Python Code)

Max Activating Token Index: 332

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Text #2

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Max Act: 2.8143. Min Act: -0.1700

Data Index: 1416521 (Python Code)

Max Activating Token Index: 236

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Text #3

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Max Act: 2.8302. Min Act: -0.1700

Data Index: 1516714 (Python Code)

Max Activating Token Index: 162

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Text #4

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Data Index: 1366938 (Python Code)

Max Activating Token Index: 179

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Text #5

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Data Index: 1600572 (Python Code)

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Text #6

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Data Index: 216361 (C4 (Web Text))

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Text #7

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Data Index: 1405910 (Python Code)

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Text #8

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Data Index: 1606420 (Python Code)

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Data Index: 1442808 (Python Code)

Max Activating Token Index: 378

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Data Index: 1636764 (Python Code)

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Text #11

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Data Index: 428180 (C4 (Web Text))

Max Activating Token Index: 442

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Text #12

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Data Index: 1551125 (Python Code)

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Text #13

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Data Index: 1454592 (Python Code)

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Text #14

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Data Index: 1475412 (Python Code)

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Text #15

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Data Index: 1474731 (Python Code)

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Text #16

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Data Index: 1426801 (Python Code)

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Text #17

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Data Index: 1377913 (Python Code)

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Text #18

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Data Index: 1550311 (Python Code)

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Text #19

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Data Index: 1535744 (Python Code)

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