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Model: GELU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 1143 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('gelu-1l')

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Text #0

Max Range: 4.0182. Min Range: -4.0182

Max Act: 4.0182. Min Act: -0.1667

Data Index: 1528553 (Python Code)

Max Activating Token Index: 352

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Text #1

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Max Act: 3.8774. Min Act: -0.1700

Data Index: 1451536 (Python Code)

Max Activating Token Index: 592

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Text #2

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Max Act: 3.7161. Min Act: -0.1700

Data Index: 1547138 (Python Code)

Max Activating Token Index: 777

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Text #3

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Max Act: 3.7205. Min Act: -0.1700

Data Index: 596082 (C4 (Web Text))

Max Activating Token Index: 322

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Text #4

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Max Act: 3.7013. Min Act: -0.1699

Data Index: 1617603 (Python Code)

Max Activating Token Index: 111

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Text #5

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Max Act: 3.6900. Min Act: -0.1667

Data Index: 1400218 (Python Code)

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Text #6

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Data Index: 34764 (C4 (Web Text))

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Text #7

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Data Index: 1542010 (Python Code)

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Text #8

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Data Index: 1649383 (Python Code)

Max Activating Token Index: 484

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Text #9

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Data Index: 434729 (C4 (Web Text))

Max Activating Token Index: 477

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Text #10

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Data Index: 856702 (C4 (Web Text))

Max Activating Token Index: 745

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Text #11

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Data Index: 1619941 (Python Code)

Max Activating Token Index: 93

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Text #12

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Data Index: 1466081 (Python Code)

Max Activating Token Index: 261

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Text #13

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Data Index: 49135 (C4 (Web Text))

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Text #14

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Data Index: 1496768 (Python Code)

Max Activating Token Index: 1014

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Text #15

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Data Index: 1363090 (Python Code)

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Text #16

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Data Index: 1313021 (C4 (Web Text))

Max Activating Token Index: 777

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Text #17

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Data Index: 1610004 (Python Code)

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Text #18

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Data Index: 1529748 (Python Code)

Max Activating Token Index: 518

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Text #19

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Data Index: 1414538 (Python Code)

Max Activating Token Index: 67

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