Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 3223 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Data Index: 1260710 (C4 (Web Text))

Max Activating Token Index: 971

Text #1

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Data Index: 439691 (C4 (Web Text))

Max Activating Token Index: 163

Text #2

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Max Activating Token Index: 661

Text #3

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Max Act: 0.0637. Min Act: -0.0002

Data Index: 541919 (C4 (Web Text))

Max Activating Token Index: 413

Text #4

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Max Activating Token Index: 722

Text #5

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Max Activating Token Index: 654

Text #6

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Max Activating Token Index: 448

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 332

Text #10

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Max Activating Token Index: 556

Text #11

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Max Activating Token Index: 333

Text #12

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Max Activating Token Index: 309

Text #13

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Data Index: 1649003 (Python Code)

Max Activating Token Index: 376

Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 1515285 (Python Code)

Max Activating Token Index: 902

Text #18

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Data Index: 1344411 (C4 (Web Text))

Max Activating Token Index: 87

Text #19

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Data Index: 1134061 (C4 (Web Text))

Max Activating Token Index: 188