Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2025 in Layer 5

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Data Index: 3410 (C4 (Web Text))

Max Activating Token Index: 674

Text #1

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Max Activating Token Index: 235

Text #2

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Max Activating Token Index: 679

Text #3

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Data Index: 485235 (C4 (Web Text))

Max Activating Token Index: 348

Text #4

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Max Activating Token Index: 695

Text #5

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Max Activating Token Index: 622

Text #6

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Max Activating Token Index: 274

Text #7

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Text #9

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Max Activating Token Index: 169

Text #10

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Text #11

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Max Activating Token Index: 309

Text #12

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Max Activating Token Index: 389

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: 415414 (C4 (Web Text))

Max Activating Token Index: 634