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Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 70 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')



Text #0

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Max Act: 3.6895. Min Act: -0.1700

Data Index: 1505412 (Python Code)

Max Activating Token Index: 11

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Text #1

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Max Act: 3.6269. Min Act: -0.1700

Data Index: 509049 (C4 (Web Text))

Max Activating Token Index: 951

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Text #2

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Max Act: 3.5956. Min Act: -0.1700

Data Index: 1276422 (C4 (Web Text))

Max Activating Token Index: 711

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Text #3

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Max Act: 3.6113. Min Act: -0.1700

Data Index: 1370427 (Python Code)

Max Activating Token Index: 776

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Text #4

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Max Act: 3.6113. Min Act: -0.1700

Data Index: 456358 (C4 (Web Text))

Max Activating Token Index: 652

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Text #5

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Data Index: 1442051 (Python Code)

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Text #6

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Data Index: 930146 (C4 (Web Text))

Max Activating Token Index: 853

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Text #7

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Data Index: 1127288 (C4 (Web Text))

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Text #8

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Data Index: 1293827 (C4 (Web Text))

Max Activating Token Index: 81

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Text #9

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Data Index: 773956 (C4 (Web Text))

Max Activating Token Index: 177

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Text #10

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Data Index: 839214 (C4 (Web Text))

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Text #11

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Data Index: 858931 (C4 (Web Text))

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Text #12

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Data Index: 460564 (C4 (Web Text))

Max Activating Token Index: 245

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Text #13

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Data Index: 1162381 (C4 (Web Text))

Max Activating Token Index: 951

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Text #14

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Text #15

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Data Index: 1163080 (C4 (Web Text))

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Text #16

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Data Index: 211652 (C4 (Web Text))

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Text #17

Max Range: 3.6895. Min Range: -3.6895

Max Act: 3.5643. Min Act: -0.1700

Data Index: 643467 (C4 (Web Text))

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Text #18

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Max Act: 3.5643. Min Act: -0.1700

Data Index: 607559 (C4 (Web Text))

Max Activating Token Index: 655

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Text #19

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Data Index: 994927 (C4 (Web Text))

Max Activating Token Index: 850

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