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

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

Neuron 1045 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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Data Index: 859979 (C4 (Web Text))

Max Activating Token Index: 673

Text #1

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Max Activating Token Index: 516

Text #2

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Max Activating Token Index: 600

Text #3

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Data Index: 395716 (C4 (Web Text))

Max Activating Token Index: 664

Text #4

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Max Activating Token Index: 370

Text #5

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Max Activating Token Index: 121

Text #6

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Max Activating Token Index: 372

Text #7

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Text #8

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Text #9

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Text #10

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Text #11

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Max Activating Token Index: 494

Text #12

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Max Activating Token Index: 277

Text #13

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Max Activating Token Index: 740

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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Max Activating Token Index: 372

Text #19

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Data Index: 759325 (C4 (Web Text))

Max Activating Token Index: 402