Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1956 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Data Index: 903207 (C4 (Web Text))

Max Activating Token Index: 963

Text #1

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Max Activating Token Index: 949

Text #2

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Max Activating Token Index: 760

Text #3

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Data Index: 859470 (C4 (Web Text))

Max Activating Token Index: 679

Text #4

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Max Activating Token Index: 836

Text #5

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Max Activating Token Index: 587

Text #6

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Text #7

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Max Activating Token Index: 507

Text #8

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Max Activating Token Index: 761

Text #9

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Max Activating Token Index: 477

Text #10

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Text #11

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Max Activating Token Index: 243

Text #12

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Text #13

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Max Activating Token Index: 684

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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Text #19

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Data Index: 570418 (C4 (Web Text))

Max Activating Token Index: 67