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

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

Neuron 24 in Layer 0

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



Text #0

Max Range: 3.7704. Min Range: -3.7704

Max Act: 3.7548. Min Act: -0.1700

Data Index: 477453 (C4 (Web Text))

Max Activating Token Index: 776

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Text #1

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Max Act: 3.7704. Min Act: -0.1700

Data Index: 322716 (C4 (Web Text))

Max Activating Token Index: 653

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Text #2

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Max Act: 3.7548. Min Act: -0.1700

Data Index: 415883 (C4 (Web Text))

Max Activating Token Index: 784

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Text #3

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Max Act: 3.7235. Min Act: -0.1700

Data Index: 1125855 (C4 (Web Text))

Max Activating Token Index: 1000

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Text #4

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Max Act: 3.7078. Min Act: -0.1700

Data Index: 1621047 (Python Code)

Max Activating Token Index: 1006

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Text #5

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Max Act: 3.7078. Min Act: -0.1700

Data Index: 429268 (C4 (Web Text))

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Text #6

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Data Index: 418292 (C4 (Web Text))

Max Activating Token Index: 921

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Text #7

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Data Index: 742016 (C4 (Web Text))

Max Activating Token Index: 71

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Text #8

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Data Index: 1357945 (C4 (Web Text))

Max Activating Token Index: 554

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Text #9

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Data Index: 34236 (C4 (Web Text))

Max Activating Token Index: 365

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Text #10

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Data Index: 1648181 (Python Code)

Max Activating Token Index: 807

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Text #11

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Data Index: 47709 (C4 (Web Text))

Max Activating Token Index: 236

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Text #12

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Data Index: 240763 (C4 (Web Text))

Max Activating Token Index: 843

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Text #13

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Data Index: 639952 (C4 (Web Text))

Max Activating Token Index: 999

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Text #14

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Data Index: 1363333 (Python Code)

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Text #15

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Data Index: 1404280 (Python Code)

Max Activating Token Index: 946

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Text #16

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Data Index: 373098 (C4 (Web Text))

Max Activating Token Index: 947

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Text #17

Max Range: 3.7704. Min Range: -3.7704

Max Act: 3.5826. Min Act: -0.1700

Data Index: 334228 (C4 (Web Text))

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Text #18

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Max Act: 3.5983. Min Act: -0.1700

Data Index: 1431691 (Python Code)

Max Activating Token Index: 857

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Text #19

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Data Index: 1493184 (Python Code)

Max Activating Token Index: 576

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