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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 4203 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0290. Min Act: -0.0001

Data Index: 1262053 (C4 (Web Text))

Max Activating Token Index: 675

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Text #1

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Data Index: 790409 (C4 (Web Text))

Max Activating Token Index: 94

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Truncated

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Text #2

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Max Act: 0.0292. Min Act: -0.0001

Data Index: 866563 (C4 (Web Text))

Max Activating Token Index: 306

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Text #3

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Max Act: 0.0303. Min Act: -0.0001

Data Index: 1561231 (Python Code)

Max Activating Token Index: 452

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Truncated

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Text #4

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Max Act: 0.0276. Min Act: -0.0001

Data Index: 588785 (C4 (Web Text))

Max Activating Token Index: 13

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Text #5

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Data Index: 319410 (C4 (Web Text))

Max Activating Token Index: 553

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Text #6

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Data Index: 1332675 (C4 (Web Text))

Max Activating Token Index: 18

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Text #7

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Data Index: 1280572 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 560121 (C4 (Web Text))

Max Activating Token Index: 34

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Text #9

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Data Index: 384272 (C4 (Web Text))

Max Activating Token Index: 24

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Text #10

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Data Index: 5621 (C4 (Web Text))

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Text #11

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Data Index: 286796 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 469253 (C4 (Web Text))

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Text #13

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Data Index: 166308 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 206476 (C4 (Web Text))

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Text #15

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Data Index: 1243447 (C4 (Web Text))

Max Activating Token Index: 21

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Text #16

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Data Index: 202095 (C4 (Web Text))

Max Activating Token Index: 701

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Truncated

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Text #17

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Data Index: 1474364 (Python Code)

Max Activating Token Index: 707

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Text #18

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Data Index: 1303865 (C4 (Web Text))

Max Activating Token Index: 355

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Truncated

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Text #19

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Max Act: 0.0243. Min Act: -0.0001

Data Index: 178409 (C4 (Web Text))

Max Activating Token Index: 718

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