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

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

Neuron 1856 in Layer 0

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

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Text #0

Max Range: 3.8643. Min Range: -3.8643

Max Act: 3.8643. Min Act: -0.1700

Data Index: 1393715 (Python Code)

Max Activating Token Index: 233

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Text #1

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Max Act: 3.8039. Min Act: -0.1700

Data Index: 200629 (C4 (Web Text))

Max Activating Token Index: 72

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Text #2

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Max Act: 3.7688. Min Act: -0.1700

Data Index: 808395 (C4 (Web Text))

Max Activating Token Index: 261

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Text #3

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Max Act: 3.7499. Min Act: -0.1700

Data Index: 29586 (C4 (Web Text))

Max Activating Token Index: 708

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Text #4

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Max Act: 3.7549. Min Act: -0.1700

Data Index: 1288900 (C4 (Web Text))

Max Activating Token Index: 646

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Text #5

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Data Index: 1620745 (Python Code)

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Text #6

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Data Index: 1491816 (Python Code)

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Text #7

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Data Index: 1443701 (Python Code)

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Text #8

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Data Index: 1511975 (Python Code)

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Text #9

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Data Index: 912666 (C4 (Web Text))

Max Activating Token Index: 53

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Text #10

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Data Index: 1464965 (Python Code)

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Text #11

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Data Index: 1459353 (Python Code)

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Text #12

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Data Index: 1585045 (Python Code)

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Text #13

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Data Index: 750477 (C4 (Web Text))

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Text #14

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Data Index: 1432262 (Python Code)

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Text #15

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Data Index: 1473454 (Python Code)

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Text #16

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Data Index: 1359886 (Python Code)

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Text #17

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Data Index: 1565904 (Python Code)

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Text #18

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Data Index: 1369065 (Python Code)

Max Activating Token Index: 949

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Text #19

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Data Index: 1556821 (Python Code)

Max Activating Token Index: 979

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