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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 342 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0402. Min Act: -0.0005

Data Index: 1355145 (C4 (Web Text))

Max Activating Token Index: 696

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Text #1

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Data Index: 519173 (C4 (Web Text))

Max Activating Token Index: 285

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Text #2

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Max Act: 0.0382. Min Act: -0.0005

Data Index: 1209494 (C4 (Web Text))

Max Activating Token Index: 742

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Text #3

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Data Index: 892810 (C4 (Web Text))

Max Activating Token Index: 716

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Truncated

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Text #4

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Data Index: 222412 (C4 (Web Text))

Max Activating Token Index: 237

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Text #5

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Data Index: 1155907 (C4 (Web Text))

Max Activating Token Index: 626

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Text #6

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Data Index: 366089 (C4 (Web Text))

Max Activating Token Index: 806

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Text #7

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Data Index: 607007 (C4 (Web Text))

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Text #8

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Data Index: 238479 (C4 (Web Text))

Max Activating Token Index: 312

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Text #9

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Data Index: 1221512 (C4 (Web Text))

Max Activating Token Index: 311

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Text #10

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Data Index: 224521 (C4 (Web Text))

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Text #11

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Data Index: 635588 (C4 (Web Text))

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Text #12

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Data Index: 1418396 (Python Code)

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Text #13

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Data Index: 1097843 (C4 (Web Text))

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Text #14

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Data Index: 584379 (C4 (Web Text))

Max Activating Token Index: 756

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Text #15

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Data Index: 990409 (C4 (Web Text))

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Text #16

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Data Index: 1599243 (Python Code)

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Text #17

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Data Index: 795829 (C4 (Web Text))

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Text #18

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Data Index: 24269 (C4 (Web Text))

Max Activating Token Index: 847

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Text #19

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Data Index: 431769 (C4 (Web Text))

Max Activating Token Index: 683

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