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

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

Neuron 5323 in Layer 2

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: 0.0319. Min Act: -0.0002

Data Index: 936845 (C4 (Web Text))

Max Activating Token Index: 12

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Truncated

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Text #1

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Max Act: 0.0316. Min Act: -0.0002

Data Index: 106470 (C4 (Web Text))

Max Activating Token Index: 68

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Truncated

Full Text #1


Text #2

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Max Act: 0.0291. Min Act: -0.0002

Data Index: 192751 (C4 (Web Text))

Max Activating Token Index: 591

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Text #3

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Max Act: 0.0266. Min Act: -0.0002

Data Index: 1275644 (C4 (Web Text))

Max Activating Token Index: 682

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Truncated

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Text #4

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Max Act: 0.0259. Min Act: -0.0002

Data Index: 964155 (C4 (Web Text))

Max Activating Token Index: 513

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Truncated

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Text #5

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Max Act: 0.0263. Min Act: -0.0002

Data Index: 531416 (C4 (Web Text))

Max Activating Token Index: 451

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Truncated

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Text #6

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Max Act: 0.0240. Min Act: -0.0002

Data Index: 877889 (C4 (Web Text))

Max Activating Token Index: 913

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Truncated

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Text #7

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Data Index: 746711 (C4 (Web Text))

Max Activating Token Index: 51

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Truncated

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Text #8

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Max Act: 0.0229. Min Act: -0.0002

Data Index: 1255438 (C4 (Web Text))

Max Activating Token Index: 494

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Truncated

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Text #9

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Max Act: 0.0217. Min Act: -0.0002

Data Index: 927316 (C4 (Web Text))

Max Activating Token Index: 52

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Truncated

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Text #10

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Data Index: 163725 (C4 (Web Text))

Max Activating Token Index: 392

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Truncated

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Text #11

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Data Index: 1376035 (Python Code)

Max Activating Token Index: 937

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Text #12

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Data Index: 1264940 (C4 (Web Text))

Max Activating Token Index: 601

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Text #13

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Data Index: 396611 (C4 (Web Text))

Max Activating Token Index: 378

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Truncated

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Text #14

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Max Act: 0.0206. Min Act: -0.0002

Data Index: 271033 (C4 (Web Text))

Max Activating Token Index: 215

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Text #15

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Max Act: 0.0208. Min Act: -0.0002

Data Index: 1352298 (C4 (Web Text))

Max Activating Token Index: 439

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Truncated

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Text #16

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Max Act: 0.0197. Min Act: -0.0002

Data Index: 787097 (C4 (Web Text))

Max Activating Token Index: 575

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Truncated

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Text #17

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Max Act: 0.0198. Min Act: -0.0002

Data Index: 461503 (C4 (Web Text))

Max Activating Token Index: 466

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Text #18

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Max Act: 0.0208. Min Act: -0.0002

Data Index: 318249 (C4 (Web Text))

Max Activating Token Index: 817

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Truncated

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Text #19

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Max Act: 0.0184. Min Act: -0.0002

Data Index: 1531077 (Python Code)

Max Activating Token Index: 890

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