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

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

Neuron 1560 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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Max Act: 0.0243. Min Act: -0.0003

Data Index: 411035 (C4 (Web Text))

Max Activating Token Index: 976

Text #1

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Max Activating Token Index: 503

Text #2

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Max Activating Token Index: 443

Text #3

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Data Index: 851898 (C4 (Web Text))

Max Activating Token Index: 476

Text #4

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Data Index: 340410 (C4 (Web Text))

Max Activating Token Index: 265

Text #5

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Data Index: 971024 (C4 (Web Text))

Max Activating Token Index: 565

Text #6

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Text #9

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Text #10

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Max Activating Token Index: 603

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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Text #19

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Data Index: 875212 (C4 (Web Text))

Max Activating Token Index: 427