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

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

Neuron 4118 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: 0.0313. Min Act: -0.0002

Data Index: 1553086 (Python Code)

Max Activating Token Index: 856

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Text #1

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Data Index: 1638088 (Python Code)

Max Activating Token Index: 14

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Text #2

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Max Act: 0.0208. Min Act: -0.0002

Data Index: 1650824 (Python Code)

Max Activating Token Index: 285

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Text #3

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Data Index: 1500500 (Python Code)

Max Activating Token Index: 522

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Text #4

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Data Index: 1580785 (Python Code)

Max Activating Token Index: 991

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Text #5

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Data Index: 1572046 (Python Code)

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Data Index: 1396237 (Python Code)

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Text #7

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Data Index: 1513705 (Python Code)

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Text #8

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Data Index: 1611993 (Python Code)

Max Activating Token Index: 863

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Text #9

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Data Index: 1383361 (Python Code)

Max Activating Token Index: 685

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Text #10

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Data Index: 483604 (C4 (Web Text))

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Text #11

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Data Index: 35208 (C4 (Web Text))

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Text #12

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Data Index: 100554 (C4 (Web Text))

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Text #13

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Data Index: 1378223 (Python Code)

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Text #14

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Data Index: 1571575 (Python Code)

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Text #15

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Data Index: 596547 (C4 (Web Text))

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Text #16

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Data Index: 1611362 (Python Code)

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Text #17

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Data Index: 957504 (C4 (Web Text))

Max Activating Token Index: 5

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Text #18

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Data Index: 1593720 (Python Code)

Max Activating Token Index: 743

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Text #19

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Data Index: 1437464 (Python Code)

Max Activating Token Index: 944

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