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

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

Neuron 722 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: 0.0411. Min Act: -0.0003

Data Index: 954719 (C4 (Web Text))

Max Activating Token Index: 266

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Text #1

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Max Act: 0.0367. Min Act: -0.0003

Data Index: 49455 (C4 (Web Text))

Max Activating Token Index: 407

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Truncated

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Text #2

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Max Act: 0.0321. Min Act: -0.0003

Data Index: 1557753 (Python Code)

Max Activating Token Index: 213

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Text #3

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Max Act: 0.0337. Min Act: -0.0003

Data Index: 913310 (C4 (Web Text))

Max Activating Token Index: 893

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Truncated

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Text #4

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Max Act: 0.0315. Min Act: -0.0003

Data Index: 1096360 (C4 (Web Text))

Max Activating Token Index: 470

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Text #5

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Max Act: 0.0298. Min Act: -0.0003

Data Index: 402198 (C4 (Web Text))

Max Activating Token Index: 109

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Text #6

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Data Index: 218284 (C4 (Web Text))

Max Activating Token Index: 248

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Text #7

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Data Index: 1238018 (C4 (Web Text))

Max Activating Token Index: 672

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Text #8

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Data Index: 878754 (C4 (Web Text))

Max Activating Token Index: 233

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Text #9

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Data Index: 471317 (C4 (Web Text))

Max Activating Token Index: 594

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Text #10

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Data Index: 413810 (C4 (Web Text))

Max Activating Token Index: 312

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Text #11

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Data Index: 508760 (C4 (Web Text))

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Text #12

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Data Index: 1222827 (C4 (Web Text))

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Text #13

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Data Index: 472665 (C4 (Web Text))

Max Activating Token Index: 916

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Text #14

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Data Index: 1589981 (Python Code)

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Text #15

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Data Index: 1625001 (Python Code)

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Text #16

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Max Act: 0.0304. Min Act: -0.0003

Data Index: 290902 (C4 (Web Text))

Max Activating Token Index: 596

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Text #17

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Max Act: 0.0287. Min Act: -0.0003

Data Index: 1133000 (C4 (Web Text))

Max Activating Token Index: 230

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Text #18

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Max Act: 0.0292. Min Act: -0.0003

Data Index: 979094 (C4 (Web Text))

Max Activating Token Index: 103

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Text #19

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Max Act: 0.0290. Min Act: -0.0003

Data Index: 1321909 (C4 (Web Text))

Max Activating Token Index: 456

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