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

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

Neuron 2048 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.1483. Min Act: -0.0001

Data Index: 1417641 (Python Code)

Max Activating Token Index: 694

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Text #1

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Max Act: 0.1020. Min Act: -0.0001

Data Index: 1582054 (Python Code)

Max Activating Token Index: 728

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Text #2

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Max Act: 0.1048. Min Act: -0.0001

Data Index: 942791 (C4 (Web Text))

Max Activating Token Index: 122

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Text #3

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Max Act: 0.1048. Min Act: -0.0001

Data Index: 577120 (C4 (Web Text))

Max Activating Token Index: 60

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Text #4

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Data Index: 1617099 (Python Code)

Max Activating Token Index: 394

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Text #5

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Data Index: 1547566 (Python Code)

Max Activating Token Index: 292

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Text #6

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Data Index: 1618069 (Python Code)

Max Activating Token Index: 918

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Text #7

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Data Index: 1516644 (Python Code)

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Text #8

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Data Index: 1366102 (Python Code)

Max Activating Token Index: 881

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Text #9

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Data Index: 1369475 (Python Code)

Max Activating Token Index: 940

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Text #10

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Data Index: 1466722 (Python Code)

Max Activating Token Index: 837

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Text #11

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Max Activating Token Index: 779

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Text #12

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Data Index: 1519967 (Python Code)

Max Activating Token Index: 407

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Text #13

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Text #14

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Data Index: 588859 (C4 (Web Text))

Max Activating Token Index: 822

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Text #15

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Text #16

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Data Index: 1536538 (Python Code)

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Text #17

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Data Index: 1620525 (Python Code)

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Text #18

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Data Index: 1526407 (Python Code)

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Text #19

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Data Index: 1485094 (Python Code)

Max Activating Token Index: 353

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