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

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

Neuron 287 in Layer 0

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



Text #0

Max Range: 2.3416. Min Range: -2.3416

Max Act: 2.3416. Min Act: -0.1700

Data Index: 1544808 (Python Code)

Max Activating Token Index: 525

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Text #1

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Max Act: 2.3088. Min Act: -0.1700

Data Index: 1588123 (Python Code)

Max Activating Token Index: 806

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Text #2

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Max Act: 2.3088. Min Act: -0.1700

Data Index: 1372694 (Python Code)

Max Activating Token Index: 280

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Text #3

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Max Act: 2.2923. Min Act: -0.1700

Data Index: 1363659 (Python Code)

Max Activating Token Index: 605

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Text #4

Max Range: 2.3416. Min Range: -2.3416

Max Act: 2.2923. Min Act: -0.1700

Data Index: 464625 (C4 (Web Text))

Max Activating Token Index: 604

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Text #5

Max Range: 2.3416. Min Range: -2.3416

Max Act: 2.2923. Min Act: -0.1700

Data Index: 1397442 (Python Code)

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Text #6

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Data Index: 1485129 (Python Code)

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Text #7

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Data Index: 1461124 (Python Code)

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Text #8

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Data Index: 1579407 (Python Code)

Max Activating Token Index: 119

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Text #9

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Max Act: 2.2923. Min Act: -0.1700

Data Index: 604421 (C4 (Web Text))

Max Activating Token Index: 669

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Text #10

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Data Index: 1415572 (Python Code)

Max Activating Token Index: 763

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Text #11

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Data Index: 1370761 (Python Code)

Max Activating Token Index: 914

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Text #12

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Data Index: 1391599 (Python Code)

Max Activating Token Index: 696

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Text #13

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Data Index: 1543481 (Python Code)

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Text #14

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Data Index: 1453642 (Python Code)

Max Activating Token Index: 70

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Text #15

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Data Index: 1520970 (Python Code)

Max Activating Token Index: 969

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Text #16

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Data Index: 1613673 (Python Code)

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Text #17

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Data Index: 1378467 (Python Code)

Max Activating Token Index: 882

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Text #18

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Data Index: 1506421 (Python Code)

Max Activating Token Index: 470

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Text #19

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Data Index: 1449239 (Python Code)

Max Activating Token Index: 256

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