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

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

Neuron 1904 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

Max Range: 0.0680. Min Range: -0.0680

Max Act: 0.0643. Min Act: -0.0001

Data Index: 237382 (C4 (Web Text))

Max Activating Token Index: 783

Text #1

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Max Activating Token Index: 622

Text #2

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Max Act: 0.0624. Min Act: -0.0001

Data Index: 225481 (C4 (Web Text))

Max Activating Token Index: 466

Text #3

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Max Act: 0.0606. Min Act: -0.0001

Data Index: 159613 (C4 (Web Text))

Max Activating Token Index: 419

Text #4

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Max Activating Token Index: 453

Text #5

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Max Activating Token Index: 653

Text #6

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Max Activating Token Index: 585

Text #7

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Max Activating Token Index: 363

Text #8

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Max Activating Token Index: 456

Text #9

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Data Index: 68329 (C4 (Web Text))

Max Activating Token Index: 451

Text #10

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Max Activating Token Index: 436

Text #11

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Max Activating Token Index: 637

Text #12

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Max Activating Token Index: 524

Text #13

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Data Index: 546655 (C4 (Web Text))

Max Activating Token Index: 537

Text #14

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Data Index: 605800 (C4 (Web Text))

Max Activating Token Index: 624

Text #15

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Max Activating Token Index: 819

Text #16

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Text #17

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Max Activating Token Index: 537

Text #18

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Data Index: 57175 (C4 (Web Text))

Max Activating Token Index: 366

Text #19

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Data Index: 772652 (C4 (Web Text))

Max Activating Token Index: 527