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Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 868 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')



Text #0

Max Range: 2.6252. Min Range: -2.6252

Max Act: 2.6252. Min Act: -0.1700

Data Index: 1624457 (Python Code)

Max Activating Token Index: 809

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Text #1

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Max Act: 2.5446. Min Act: -0.1700

Data Index: 1510682 (Python Code)

Max Activating Token Index: 650

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Text #2

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Max Act: 2.5446. Min Act: -0.1700

Data Index: 1539902 (Python Code)

Max Activating Token Index: 110

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Text #3

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Max Act: 2.5123. Min Act: -0.1700

Data Index: 1425437 (Python Code)

Max Activating Token Index: 438

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Text #4

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Max Act: 2.4799. Min Act: -0.1700

Data Index: 1650474 (Python Code)

Max Activating Token Index: 718

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Text #5

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Data Index: 1577913 (Python Code)

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Text #6

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Data Index: 1504439 (Python Code)

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Text #7

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Data Index: 1489490 (Python Code)

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Text #8

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Data Index: 1505765 (Python Code)

Max Activating Token Index: 235

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Text #9

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Data Index: 1591024 (Python Code)

Max Activating Token Index: 277

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Text #10

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Data Index: 1399406 (Python Code)

Max Activating Token Index: 773

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Text #11

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Data Index: 1481308 (Python Code)

Max Activating Token Index: 58

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Text #12

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Data Index: 1462642 (Python Code)

Max Activating Token Index: 286

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Text #13

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Data Index: 1558834 (Python Code)

Max Activating Token Index: 486

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Text #14

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Data Index: 1392604 (Python Code)

Max Activating Token Index: 556

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Text #15

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Data Index: 1481751 (Python Code)

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Text #16

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Data Index: 146214 (C4 (Web Text))

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Text #17

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Data Index: 32210 (C4 (Web Text))

Max Activating Token Index: 142

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Text #18

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Data Index: 1495161 (Python Code)

Max Activating Token Index: 665

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Text #19

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Max Act: 2.3986. Min Act: -0.1700

Data Index: 1524001 (Python Code)

Max Activating Token Index: 378

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