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

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

Neuron 1417 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 2.9055. Min Act: -0.1700

Data Index: 1022100 (C4 (Web Text))

Max Activating Token Index: 408

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Text #1

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Max Act: 2.8261. Min Act: -0.1700

Data Index: 454800 (C4 (Web Text))

Max Activating Token Index: 8

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Text #2

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Max Act: 2.7464. Min Act: -0.1700

Data Index: 844865 (C4 (Web Text))

Max Activating Token Index: 707

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Text #3

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Max Act: 2.7624. Min Act: -0.1700

Data Index: 929826 (C4 (Web Text))

Max Activating Token Index: 338

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Text #4

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Max Act: 2.7304. Min Act: -0.1700

Data Index: 880127 (C4 (Web Text))

Max Activating Token Index: 7

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Text #5

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Data Index: 1245524 (C4 (Web Text))

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Text #6

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Data Index: 475736 (C4 (Web Text))

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Text #7

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Data Index: 1416196 (Python Code)

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Text #8

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Data Index: 1565286 (Python Code)

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Text #9

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Data Index: 955242 (C4 (Web Text))

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Text #10

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Data Index: 767956 (C4 (Web Text))

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Text #11

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Data Index: 420769 (C4 (Web Text))

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Text #12

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Text #13

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Data Index: 602374 (C4 (Web Text))

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Text #14

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Data Index: 1052400 (C4 (Web Text))

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Text #15

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Data Index: 206654 (C4 (Web Text))

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Text #16

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Data Index: 1348454 (C4 (Web Text))

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Text #17

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Max Act: 2.6824. Min Act: -0.1700

Data Index: 428066 (C4 (Web Text))

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Text #18

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Max Act: 2.6984. Min Act: -0.1700

Data Index: 1071614 (C4 (Web Text))

Max Activating Token Index: 163

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Text #19

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Max Act: 2.6824. Min Act: -0.1700

Data Index: 677489 (C4 (Web Text))

Max Activating Token Index: 354

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