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

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

Neuron 1895 in Layer 1

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: 2.9309. Min Act: -0.1700

Data Index: 162562 (C4 (Web Text))

Max Activating Token Index: 1000

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Text #1

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Max Act: 2.9150. Min Act: -0.1700

Data Index: 34121 (C4 (Web Text))

Max Activating Token Index: 187

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Text #2

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Max Act: 2.8515. Min Act: -0.1700

Data Index: 381307 (C4 (Web Text))

Max Activating Token Index: 423

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Text #3

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Max Act: 2.8197. Min Act: -0.1700

Data Index: 888088 (C4 (Web Text))

Max Activating Token Index: 353

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Text #4

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Data Index: 1052884 (C4 (Web Text))

Max Activating Token Index: 94

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Text #5

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Data Index: 497069 (C4 (Web Text))

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Text #6

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Data Index: 943275 (C4 (Web Text))

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Text #7

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Data Index: 980843 (C4 (Web Text))

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Text #8

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Data Index: 208778 (C4 (Web Text))

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Text #9

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Data Index: 350525 (C4 (Web Text))

Max Activating Token Index: 430

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Text #10

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Data Index: 588061 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 259612 (C4 (Web Text))

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Text #13

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Data Index: 710845 (C4 (Web Text))

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Text #14

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Data Index: 1517936 (Python Code)

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Text #15

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Data Index: 1598816 (Python Code)

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Text #16

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Data Index: 14147 (C4 (Web Text))

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Text #17

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Max Act: 2.7081. Min Act: -0.1700

Data Index: 1192416 (C4 (Web Text))

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Text #18

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Max Act: 2.7081. Min Act: -0.1700

Data Index: 208049 (C4 (Web Text))

Max Activating Token Index: 588

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Text #19

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Data Index: 872251 (C4 (Web Text))

Max Activating Token Index: 715

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