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

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

Neuron 1173 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

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Max Act: 5.0875. Min Act: -0.1700

Data Index: 121460 (C4 (Web Text))

Max Activating Token Index: 586

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Text #1

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Data Index: 444930 (C4 (Web Text))

Max Activating Token Index: 394

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Text #2

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Max Act: 5.0250. Min Act: -0.1700

Data Index: 1591474 (Python Code)

Max Activating Token Index: 518

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Text #3

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Max Act: 5.0562. Min Act: -0.1700

Data Index: 130236 (C4 (Web Text))

Max Activating Token Index: 441

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Text #4

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Max Act: 4.9937. Min Act: -0.1700

Data Index: 672408 (C4 (Web Text))

Max Activating Token Index: 914

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Text #5

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Data Index: 968282 (C4 (Web Text))

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Text #6

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Text #7

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Data Index: 239534 (C4 (Web Text))

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Text #8

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Data Index: 1622941 (Python Code)

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Text #9

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Data Index: 181039 (C4 (Web Text))

Max Activating Token Index: 651

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Max Act: 4.8375. Min Act: -0.1700

Data Index: 1169830 (C4 (Web Text))

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Text #18

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Max Act: 4.8687. Min Act: -0.1700

Data Index: 587307 (C4 (Web Text))

Max Activating Token Index: 336

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Text #19

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Max Act: 4.8062. Min Act: -0.1700

Data Index: 826858 (C4 (Web Text))

Max Activating Token Index: 283

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