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

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

Neuron 3837 in Layer 3

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: 0.0437. Min Act: -0.0001

Data Index: 1061008 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #1

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Max Act: 0.0645. Min Act: -0.0001

Data Index: 451129 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #2

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Max Act: 0.0694. Min Act: -0.0001

Data Index: 253373 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #3

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Max Act: 0.0555. Min Act: -0.0001

Data Index: 449716 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #4

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Data Index: 221059 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #5

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Data Index: 96731 (C4 (Web Text))

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Text #6

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Data Index: 502152 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 70397 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #8

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Data Index: 1464964 (Python Code)

Max Activating Token Index: 1023

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Text #9

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Data Index: 352765 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #10

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Data Index: 655518 (C4 (Web Text))

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Truncated

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Text #11

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Truncated

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Text #12

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Data Index: 818740 (C4 (Web Text))

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Text #13

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Data Index: 1276741 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 865937 (C4 (Web Text))

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Text #15

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Data Index: 1247123 (C4 (Web Text))

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Text #16

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Data Index: 1608782 (Python Code)

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Text #17

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Data Index: 1215699 (C4 (Web Text))

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Text #18

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Max Act: 0.0316. Min Act: -0.0001

Data Index: 513236 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #19

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Data Index: 1110323 (C4 (Web Text))

Max Activating Token Index: 1023

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