Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 980 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0257. Min Act: -0.0006

Data Index: 1078829 (C4 (Web Text))

Max Activating Token Index: 349

Text #1

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Data Index: 1082743 (C4 (Web Text))

Max Activating Token Index: 368

Text #2

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Max Act: 0.0248. Min Act: -0.0006

Data Index: 644156 (C4 (Web Text))

Max Activating Token Index: 841

Text #3

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Max Act: 0.0239. Min Act: -0.0006

Data Index: 427319 (C4 (Web Text))

Max Activating Token Index: 237

Text #4

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Max Act: 0.0236. Min Act: -0.0006

Data Index: 600484 (C4 (Web Text))

Max Activating Token Index: 245

Text #5

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Data Index: 1357009 (C4 (Web Text))

Max Activating Token Index: 904

Text #6

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Max Activating Token Index: 289

Text #7

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Data Index: 469048 (C4 (Web Text))

Max Activating Token Index: 370

Text #8

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Max Activating Token Index: 251

Text #9

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Max Activating Token Index: 519

Text #10

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Max Activating Token Index: 503

Text #11

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Max Activating Token Index: 498

Text #12

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Max Activating Token Index: 236

Text #13

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Data Index: 647548 (C4 (Web Text))

Max Activating Token Index: 343

Text #14

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Max Activating Token Index: 428

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 912

Text #18

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Max Activating Token Index: 829

Text #19

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Data Index: 1228422 (C4 (Web Text))

Max Activating Token Index: 507