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

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

Neuron 4070 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: 0.0242. Min Act: -0.0003

Data Index: 626406 (C4 (Web Text))

Max Activating Token Index: 618

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Text #1

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Max Act: 0.0243. Min Act: -0.0003

Data Index: 214137 (C4 (Web Text))

Max Activating Token Index: 275

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Truncated

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Text #2

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Max Act: 0.0248. Min Act: -0.0003

Data Index: 438453 (C4 (Web Text))

Max Activating Token Index: 354

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Truncated

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Text #3

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Max Act: 0.0230. Min Act: -0.0003

Data Index: 987457 (C4 (Web Text))

Max Activating Token Index: 218

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Truncated

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Text #4

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Max Act: 0.0249. Min Act: -0.0003

Data Index: 336257 (C4 (Web Text))

Max Activating Token Index: 389

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Truncated

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Text #5

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Data Index: 1190529 (C4 (Web Text))

Max Activating Token Index: 669

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Text #6

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Data Index: 139836 (C4 (Web Text))

Max Activating Token Index: 695

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Truncated

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Text #7

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Data Index: 188032 (C4 (Web Text))

Max Activating Token Index: 471

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Truncated

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Text #8

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Data Index: 699141 (C4 (Web Text))

Max Activating Token Index: 657

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Text #9

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Data Index: 936119 (C4 (Web Text))

Max Activating Token Index: 612

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Truncated

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Text #10

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Data Index: 14487 (C4 (Web Text))

Max Activating Token Index: 28

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Truncated

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Text #11

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Truncated

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Text #12

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Data Index: 1298124 (C4 (Web Text))

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Text #13

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Data Index: 247957 (C4 (Web Text))

Max Activating Token Index: 634

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Truncated

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Text #14

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Data Index: 549306 (C4 (Web Text))

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Text #15

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Data Index: 202483 (C4 (Web Text))

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Text #16

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Truncated

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Text #17

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Data Index: 917011 (C4 (Web Text))

Max Activating Token Index: 772

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Text #18

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Max Act: 0.0196. Min Act: -0.0003

Data Index: 1846 (C4 (Web Text))

Max Activating Token Index: 427

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Truncated

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Text #19

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Data Index: 365189 (C4 (Web Text))

Max Activating Token Index: 509

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