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

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

Neuron 1969 in Layer 10

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: 1.3802. Min Act: -0.0000

Data Index: 1613663 (Python Code)

Max Activating Token Index: 598

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Text #1

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Data Index: 1423087 (Python Code)

Max Activating Token Index: 731

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Text #2

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Max Act: 1.3863. Min Act: -0.0000

Data Index: 1407778 (Python Code)

Max Activating Token Index: 484

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Text #3

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Max Act: 1.2771. Min Act: -0.0000

Data Index: 1263775 (C4 (Web Text))

Max Activating Token Index: 491

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Text #4

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Data Index: 1476942 (Python Code)

Max Activating Token Index: 593

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Text #5

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Data Index: 1144397 (C4 (Web Text))

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Text #6

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Data Index: 1630582 (Python Code)

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Text #7

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Data Index: 1380781 (Python Code)

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Text #8

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Data Index: 1516783 (Python Code)

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Text #9

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Data Index: 1415503 (Python Code)

Max Activating Token Index: 468

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Text #10

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Data Index: 1606228 (Python Code)

Max Activating Token Index: 432

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Text #11

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Text #12

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Max Activating Token Index: 503

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Text #13

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Text #14

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Data Index: 258313 (C4 (Web Text))

Max Activating Token Index: 838

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Text #15

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Data Index: 1452440 (Python Code)

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Text #16

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Text #17

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Data Index: 1120468 (C4 (Web Text))

Max Activating Token Index: 693

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Text #18

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Text #19

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Data Index: 1628027 (Python Code)

Max Activating Token Index: 780

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