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

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

Neuron 1630 in Layer 8

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: 2.5175. Min Act: -0.0000

Data Index: 1121468 (C4 (Web Text))

Max Activating Token Index: 314

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Text #1

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Max Act: 2.3625. Min Act: -0.0000

Data Index: 388473 (C4 (Web Text))

Max Activating Token Index: 231

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Text #2

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Max Act: 2.2868. Min Act: -0.0000

Data Index: 188250 (C4 (Web Text))

Max Activating Token Index: 1014

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Text #3

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Max Act: 2.0179. Min Act: -0.0000

Data Index: 1285571 (C4 (Web Text))

Max Activating Token Index: 369

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Text #4

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Data Index: 154328 (C4 (Web Text))

Max Activating Token Index: 431

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Text #5

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Data Index: 1091240 (C4 (Web Text))

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Text #6

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Data Index: 420630 (C4 (Web Text))

Max Activating Token Index: 604

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Text #7

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Data Index: 1161832 (C4 (Web Text))

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Text #8

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Data Index: 861304 (C4 (Web Text))

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Text #9

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Data Index: 1287982 (C4 (Web Text))

Max Activating Token Index: 477

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Text #10

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Text #11

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Text #12

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Data Index: 1024061 (C4 (Web Text))

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Text #13

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Data Index: 1463228 (Python Code)

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Text #14

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Data Index: 71608 (C4 (Web Text))

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Text #15

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Data Index: 261894 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1438428 (Python Code)

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Text #18

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Max Act: 1.9144. Min Act: -0.0000

Data Index: 1185127 (C4 (Web Text))

Max Activating Token Index: 601

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Text #19

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Data Index: 322814 (C4 (Web Text))

Max Activating Token Index: 523

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