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Model: GELU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1984 in Layer 1

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')



Text #0

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Data Index: 1408371 (Python Code)

Max Activating Token Index: 970

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Text #1

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Data Index: 257375 (C4 (Web Text))

Max Activating Token Index: 10

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Text #2

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Data Index: 1375739 (Python Code)

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Text #3

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Data Index: 1435575 (Python Code)

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Data Index: 1413456 (Python Code)

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Data Index: 1556580 (Python Code)

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Text #7

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Text #8

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Text #9

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Data Index: 1528895 (Python Code)

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Text #13

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Text #14

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Data Index: 899541 (C4 (Web Text))

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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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Text #19

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Data Index: 1600781 (Python Code)

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