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

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

Neuron 542 in Layer 2

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: 0.0350. Min Act: -0.0002

Data Index: 1024805 (C4 (Web Text))

Max Activating Token Index: 526

Text #1

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Max Act: 0.0328. Min Act: -0.0001

Data Index: 159065 (C4 (Web Text))

Max Activating Token Index: 949

Text #2

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Max Act: 0.0298. Min Act: -0.0001

Data Index: 563588 (C4 (Web Text))

Max Activating Token Index: 105

Text #3

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Max Act: 0.0296. Min Act: -0.0002

Data Index: 594291 (C4 (Web Text))

Max Activating Token Index: 281

Text #4

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Data Index: 777637 (C4 (Web Text))

Max Activating Token Index: 769

Text #5

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Max Activating Token Index: 504

Text #6

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Max Activating Token Index: 750

Text #7

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Max Activating Token Index: 767

Text #8

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Max Activating Token Index: 144

Text #9

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Max Activating Token Index: 230

Text #10

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Data Index: 286332 (C4 (Web Text))

Max Activating Token Index: 1023

Text #11

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Data Index: 1195525 (C4 (Web Text))

Max Activating Token Index: 309

Text #12

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Data Index: 261535 (C4 (Web Text))

Max Activating Token Index: 430

Text #13

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Data Index: 761355 (C4 (Web Text))

Max Activating Token Index: 652

Text #14

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Data Index: 247896 (C4 (Web Text))

Max Activating Token Index: 1023

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 90

Text #18

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Data Index: 277464 (C4 (Web Text))

Max Activating Token Index: 327

Text #19

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Data Index: 278586 (C4 (Web Text))

Max Activating Token Index: 252