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

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

Neuron 1299 in Layer 3

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: 4.8205. Min Act: -0.1700

Data Index: 190225 (C4 (Web Text))

Max Activating Token Index: 535

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Text #1

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Max Act: 4.7892. Min Act: -0.1700

Data Index: 918451 (C4 (Web Text))

Max Activating Token Index: 843

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Text #2

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Max Act: 4.8205. Min Act: -0.1700

Data Index: 507662 (C4 (Web Text))

Max Activating Token Index: 22

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Text #3

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Max Act: 4.7267. Min Act: -0.1700

Data Index: 118769 (C4 (Web Text))

Max Activating Token Index: 906

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Text #4

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Data Index: 250077 (C4 (Web Text))

Max Activating Token Index: 72

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Text #5

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Max Act: 4.7580. Min Act: -0.1700

Data Index: 1306245 (C4 (Web Text))

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Text #6

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Data Index: 841513 (C4 (Web Text))

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Text #7

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Data Index: 377801 (C4 (Web Text))

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Text #8

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Max Act: 4.5705. Min Act: -0.1700

Data Index: 257773 (C4 (Web Text))

Max Activating Token Index: 626

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Text #9

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Data Index: 804991 (C4 (Web Text))

Max Activating Token Index: 390

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Text #10

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Data Index: 143610 (C4 (Web Text))

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Text #11

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Data Index: 295487 (C4 (Web Text))

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Text #12

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Data Index: 1143697 (C4 (Web Text))

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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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Data Index: 1571936 (Python Code)

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Text #17

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Data Index: 1421312 (Python Code)

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Text #18

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Max Act: 4.5392. Min Act: -0.1700

Data Index: 181350 (C4 (Web Text))

Max Activating Token Index: 171

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Text #19

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Data Index: 1314111 (C4 (Web Text))

Max Activating Token Index: 258

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