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

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

Neuron 3375 in Layer 1

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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Max Act: 0.0264. Min Act: -0.0003

Data Index: 738401 (C4 (Web Text))

Max Activating Token Index: 881

Text #1

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Data Index: 717207 (C4 (Web Text))

Max Activating Token Index: 1022

Text #2

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Max Act: 0.0268. Min Act: -0.0003

Data Index: 1301559 (C4 (Web Text))

Max Activating Token Index: 619

Text #3

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Max Act: 0.0278. Min Act: -0.0003

Data Index: 1007807 (C4 (Web Text))

Max Activating Token Index: 107

Text #4

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Data Index: 117978 (C4 (Web Text))

Max Activating Token Index: 37

Text #5

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Data Index: 166653 (C4 (Web Text))

Max Activating Token Index: 813

Text #6

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Max Activating Token Index: 439

Text #7

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Text #8

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Max Activating Token Index: 263

Text #9

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Max Activating Token Index: 270

Text #10

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Data Index: 36120 (C4 (Web Text))

Max Activating Token Index: 442

Text #11

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Max Activating Token Index: 303

Text #12

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Max Activating Token Index: 316

Text #13

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Max Activating Token Index: 307

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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Max Activating Token Index: 610

Text #19

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Data Index: 505737 (C4 (Web Text))

Max Activating Token Index: 292