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

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

Neuron 1044 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 4.0092. Min Act: -0.1700

Data Index: 488243 (C4 (Web Text))

Max Activating Token Index: 785

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Text #1

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Max Act: 3.9779. Min Act: -0.1700

Data Index: 621872 (C4 (Web Text))

Max Activating Token Index: 524

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Text #2

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Max Act: 3.9466. Min Act: -0.1700

Data Index: 550256 (C4 (Web Text))

Max Activating Token Index: 206

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Text #3

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Max Act: 3.9779. Min Act: -0.1700

Data Index: 983606 (C4 (Web Text))

Max Activating Token Index: 594

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Text #4

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Max Act: 3.9154. Min Act: -0.1700

Data Index: 1654987 (Python Code)

Max Activating Token Index: 846

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Text #5

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Max Act: 3.9466. Min Act: -0.1700

Data Index: 599881 (C4 (Web Text))

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Text #6

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Data Index: 743085 (C4 (Web Text))

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Text #7

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Data Index: 348787 (C4 (Web Text))

Max Activating Token Index: 541

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Text #8

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Max Act: 3.9466. Min Act: -0.1700

Data Index: 711364 (C4 (Web Text))

Max Activating Token Index: 723

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Text #9

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Max Act: 3.9466. Min Act: -0.1700

Data Index: 1114495 (C4 (Web Text))

Max Activating Token Index: 403

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Text #10

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Data Index: 898625 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 978789 (C4 (Web Text))

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Text #13

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Data Index: 477154 (C4 (Web Text))

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Text #14

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Data Index: 541710 (C4 (Web Text))

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Text #15

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Data Index: 1350717 (C4 (Web Text))

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Text #16

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Data Index: 1160480 (C4 (Web Text))

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Text #17

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Max Act: 3.8841. Min Act: -0.1700

Data Index: 394501 (C4 (Web Text))

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Text #18

Max Range: 4.0092. Min Range: -4.0092

Max Act: 3.8841. Min Act: -0.1700

Data Index: 1553116 (Python Code)

Max Activating Token Index: 429

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Text #19

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Max Act: 3.8528. Min Act: -0.1700

Data Index: 948472 (C4 (Web Text))

Max Activating Token Index: 584

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