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

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

Neuron 1990 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: 5.2314. Min Act: -0.1700

Data Index: 529733 (C4 (Web Text))

Max Activating Token Index: 662

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Text #1

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Data Index: 149042 (C4 (Web Text))

Max Activating Token Index: 484

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Text #2

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Data Index: 785065 (C4 (Web Text))

Max Activating Token Index: 560

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Text #3

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Data Index: 106202 (C4 (Web Text))

Max Activating Token Index: 70

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Text #4

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Max Act: 5.1689. Min Act: -0.1700

Data Index: 529916 (C4 (Web Text))

Max Activating Token Index: 440

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Text #5

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Data Index: 976193 (C4 (Web Text))

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Text #6

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Data Index: 1454653 (Python Code)

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Text #7

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Text #8

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Data Index: 311109 (C4 (Web Text))

Max Activating Token Index: 745

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Text #9

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Data Index: 81961 (C4 (Web Text))

Max Activating Token Index: 944

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Text #10

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Text #11

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Text #12

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Data Index: 1356813 (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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Data Index: 1256644 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 870657 (C4 (Web Text))

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Text #18

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Data Index: 183718 (C4 (Web Text))

Max Activating Token Index: 382

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Text #19

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Data Index: 1132739 (C4 (Web Text))

Max Activating Token Index: 572

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