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

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

Neuron 2352 in Layer 4

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: 0.0217. Min Act: -0.0001

Data Index: 455158 (C4 (Web Text))

Max Activating Token Index: 240

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Text #1

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Data Index: 760563 (C4 (Web Text))

Max Activating Token Index: 548

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Text #2

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Max Act: 0.0194. Min Act: -0.0001

Data Index: 1614640 (Python Code)

Max Activating Token Index: 496

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Text #3

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Max Act: 0.0190. Min Act: -0.0001

Data Index: 1484564 (Python Code)

Max Activating Token Index: 289

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Text #4

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Max Act: 0.0180. Min Act: -0.0001

Data Index: 1326605 (C4 (Web Text))

Max Activating Token Index: 469

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Truncated

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Text #5

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Data Index: 592052 (C4 (Web Text))

Max Activating Token Index: 847

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Text #6

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Data Index: 345356 (C4 (Web Text))

Max Activating Token Index: 555

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Text #7

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Data Index: 410490 (C4 (Web Text))

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Text #8

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Data Index: 183407 (C4 (Web Text))

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Text #9

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Data Index: 71231 (C4 (Web Text))

Max Activating Token Index: 713

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Text #10

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Data Index: 1330836 (C4 (Web Text))

Max Activating Token Index: 708

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Text #11

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Data Index: 726390 (C4 (Web Text))

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Text #12

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Data Index: 407101 (C4 (Web Text))

Max Activating Token Index: 649

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Text #13

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Data Index: 1109415 (C4 (Web Text))

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Text #14

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Data Index: 307868 (C4 (Web Text))

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Text #15

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Data Index: 1038029 (C4 (Web Text))

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Text #16

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Data Index: 629916 (C4 (Web Text))

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Text #17

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Data Index: 517981 (C4 (Web Text))

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Text #18

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Data Index: 61083 (C4 (Web Text))

Max Activating Token Index: 986

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Text #19

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Data Index: 1536808 (Python Code)

Max Activating Token Index: 869

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