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

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

Neuron 1394 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: 5.1083. Min Act: -0.1700

Data Index: 378200 (C4 (Web Text))

Max Activating Token Index: 124

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Text #1

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Max Act: 5.0771. Min Act: -0.1699

Data Index: 1623364 (Python Code)

Max Activating Token Index: 853

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Max Act: 4.8896. Min Act: -0.1700

Data Index: 517193 (C4 (Web Text))

Max Activating Token Index: 397

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Text #3

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Data Index: 451071 (C4 (Web Text))

Max Activating Token Index: 53

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Text #9

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Text #11

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Text #14

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Text #15

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Text #16

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Text #18

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Text #19

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