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

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

Neuron 1867 in Layer 0

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



Text #0

Max Range: 2.3284. Min Range: -2.3284

Max Act: 2.2956. Min Act: -0.1700

Data Index: 1404237 (Python Code)

Max Activating Token Index: 174

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Text #1

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Max Act: 2.3284. Min Act: -0.1700

Data Index: 1418120 (Python Code)

Max Activating Token Index: 662

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Text #2

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Max Act: 2.2626. Min Act: -0.1700

Data Index: 1522159 (Python Code)

Max Activating Token Index: 88

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Text #3

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Max Act: 2.2461. Min Act: -0.1699

Data Index: 1480637 (Python Code)

Max Activating Token Index: 227

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Text #4

Max Range: 2.3284. Min Range: -2.3284

Max Act: 2.2130. Min Act: -0.1700

Data Index: 728585 (C4 (Web Text))

Max Activating Token Index: 694

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Text #5

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Data Index: 1594419 (Python Code)

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Text #6

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Data Index: 1458789 (Python Code)

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Text #7

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Data Index: 1420983 (Python Code)

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Text #8

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Data Index: 1448533 (Python Code)

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Text #9

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Data Index: 1500994 (Python Code)

Max Activating Token Index: 710

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Text #10

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Data Index: 1532249 (Python Code)

Max Activating Token Index: 215

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Text #11

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Data Index: 1456416 (Python Code)

Max Activating Token Index: 718

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Text #12

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Data Index: 1492588 (Python Code)

Max Activating Token Index: 252

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Text #13

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Data Index: 1516432 (Python Code)

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Text #14

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Data Index: 1541142 (Python Code)

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Text #15

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Data Index: 1440596 (Python Code)

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Text #16

Max Range: 2.3284. Min Range: -2.3284

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Data Index: 118889 (C4 (Web Text))

Max Activating Token Index: 890

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Text #17

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Data Index: 1451862 (Python Code)

Max Activating Token Index: 876

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Text #18

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Data Index: 1422376 (Python Code)

Max Activating Token Index: 124

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Text #19

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Max Act: 2.1466. Min Act: -0.1699

Data Index: 1410598 (Python Code)

Max Activating Token Index: 122

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