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

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

Neuron 1290 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: 3.2524. Min Act: -0.1700

Data Index: 1541349 (Python Code)

Max Activating Token Index: 863

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Text #1

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Max Act: 3.2052. Min Act: -0.1700

Data Index: 51392 (C4 (Web Text))

Max Activating Token Index: 669

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Text #2

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Max Act: 3.2052. Min Act: -0.1700

Data Index: 630945 (C4 (Web Text))

Max Activating Token Index: 166

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Text #3

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Max Act: 3.1737. Min Act: -0.1700

Data Index: 270934 (C4 (Web Text))

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Text #4

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Max Act: 3.1423. Min Act: -0.1700

Data Index: 1576115 (Python Code)

Max Activating Token Index: 36

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Text #5

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Data Index: 604132 (C4 (Web Text))

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Text #6

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Data Index: 407186 (C4 (Web Text))

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Text #7

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Data Index: 213191 (C4 (Web Text))

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Text #8

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Data Index: 326524 (C4 (Web Text))

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Text #9

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Data Index: 1046058 (C4 (Web Text))

Max Activating Token Index: 132

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Text #10

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Text #11

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Text #12

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Data Index: 38229 (C4 (Web Text))

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Text #13

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Data Index: 164721 (C4 (Web Text))

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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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Data Index: 950584 (C4 (Web Text))

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Text #18

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Max Act: 3.0476. Min Act: -0.1700

Data Index: 903862 (C4 (Web Text))

Max Activating Token Index: 257

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Text #19

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Data Index: 856328 (C4 (Web Text))

Max Activating Token Index: 587

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