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

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

Neuron 1280 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: 1.3135. Min Act: -0.0003

Data Index: 661387 (C4 (Web Text))

Max Activating Token Index: 481

Text #1

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Data Index: 677470 (C4 (Web Text))

Max Activating Token Index: 581

Text #2

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Max Act: 1.2237. Min Act: -0.0003

Data Index: 55836 (C4 (Web Text))

Max Activating Token Index: 725

Text #3

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Max Act: 1.0808. Min Act: -0.0003

Data Index: 802540 (C4 (Web Text))

Max Activating Token Index: 234

Text #4

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Max Act: 1.0804. Min Act: -0.0003

Data Index: 148369 (C4 (Web Text))

Max Activating Token Index: 330

Text #5

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Max Act: 0.9863. Min Act: -0.0003

Data Index: 501873 (C4 (Web Text))

Max Activating Token Index: 421

Text #6

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Data Index: 1050800 (C4 (Web Text))

Max Activating Token Index: 427

Text #7

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Max Activating Token Index: 358

Text #8

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Data Index: 413540 (C4 (Web Text))

Max Activating Token Index: 259

Text #9

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Max Activating Token Index: 896

Text #10

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Data Index: 143872 (C4 (Web Text))

Max Activating Token Index: 420

Text #11

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Data Index: 197579 (C4 (Web Text))

Max Activating Token Index: 511

Text #12

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Max Activating Token Index: 455

Text #13

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Data Index: 1049418 (C4 (Web Text))

Max Activating Token Index: 720

Text #14

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Data Index: 949151 (C4 (Web Text))

Max Activating Token Index: 616

Text #15

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Max Activating Token Index: 1010

Text #16

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Max Activating Token Index: 392

Text #17

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Max Activating Token Index: 379

Text #18

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Max Activating Token Index: 910

Text #19

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Max Act: 0.8403. Min Act: -0.0003

Data Index: 215638 (C4 (Web Text))

Max Activating Token Index: 910