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

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

Neuron 2015 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')



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Max Act: 5.0506. Min Act: -0.1700

Data Index: 755048 (C4 (Web Text))

Max Activating Token Index: 113

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Data Index: 793794 (C4 (Web Text))

Max Activating Token Index: 65

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Text #2

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Data Index: 702201 (C4 (Web Text))

Max Activating Token Index: 583

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Data Index: 303923 (C4 (Web Text))

Max Activating Token Index: 939

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Text #8

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Text #9

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Data Index: 838312 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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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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Text #18

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Data Index: 7992 (C4 (Web Text))

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Text #19

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Data Index: 367090 (C4 (Web Text))

Max Activating Token Index: 502

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