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

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

Neuron 3025 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: 0.0181. Min Act: -0.0003

Data Index: 700141 (C4 (Web Text))

Max Activating Token Index: 326

Text #1

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Max Act: 0.0236. Min Act: -0.0003

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Max Activating Token Index: 270

Text #2

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Max Act: 0.0215. Min Act: -0.0003

Data Index: 254463 (C4 (Web Text))

Max Activating Token Index: 365

Text #3

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Max Act: 0.0200. Min Act: -0.0003

Data Index: 1282979 (C4 (Web Text))

Max Activating Token Index: 645

Text #4

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Max Act: 0.0235. Min Act: -0.0003

Data Index: 1285112 (C4 (Web Text))

Max Activating Token Index: 455

Text #5

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Max Activating Token Index: 655

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 508

Text #9

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Max Activating Token Index: 782

Text #10

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Max Activating Token Index: 466

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Max Activating Token Index: 376

Text #12

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Max Activating Token Index: 433

Text #13

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Data Index: 291057 (C4 (Web Text))

Max Activating Token Index: 295

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 232

Text #18

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Text #19

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Data Index: 351030 (C4 (Web Text))

Max Activating Token Index: 70