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Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 730 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')



Text #0

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Max Act: 4.4671. Min Act: -0.1700

Data Index: 521119 (C4 (Web Text))

Max Activating Token Index: 410

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Text #1

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Max Act: 4.3577. Min Act: -0.1700

Data Index: 369240 (C4 (Web Text))

Max Activating Token Index: 98

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Text #2

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Max Act: 4.2952. Min Act: -0.1700

Data Index: 1330578 (C4 (Web Text))

Max Activating Token Index: 464

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Text #3

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Max Act: 4.3421. Min Act: -0.1700

Data Index: 113609 (C4 (Web Text))

Max Activating Token Index: 439

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Text #4

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Max Act: 4.2640. Min Act: -0.1700

Data Index: 662041 (C4 (Web Text))

Max Activating Token Index: 190

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Text #5

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Data Index: 588880 (C4 (Web Text))

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Text #6

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Data Index: 604782 (C4 (Web Text))

Max Activating Token Index: 990

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Text #7

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Data Index: 476266 (C4 (Web Text))

Max Activating Token Index: 94

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Text #8

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Data Index: 571895 (C4 (Web Text))

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Text #9

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Data Index: 577875 (C4 (Web Text))

Max Activating Token Index: 262

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Text #10

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Data Index: 1514983 (Python Code)

Max Activating Token Index: 40

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Text #11

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Text #12

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Data Index: 944120 (C4 (Web Text))

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Text #13

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Max Activating Token Index: 147

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Text #14

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Text #15

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Text #16

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Data Index: 1300260 (C4 (Web Text))

Max Activating Token Index: 215

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Text #17

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Max Act: 4.0920. Min Act: -0.1700

Data Index: 1491141 (Python Code)

Max Activating Token Index: 549

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Text #18

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Max Act: 4.0295. Min Act: -0.1700

Data Index: 82678 (C4 (Web Text))

Max Activating Token Index: 762

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Text #19

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Data Index: 632393 (C4 (Web Text))

Max Activating Token Index: 137

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