Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2077 in Layer 5

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0658. Min Act: -0.0000

Data Index: 1278042 (C4 (Web Text))

Max Activating Token Index: 363

Text #1

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Max Act: 0.0621. Min Act: -0.0000

Data Index: 1452259 (Python Code)

Max Activating Token Index: 763

Text #2

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Max Act: 0.0552. Min Act: -0.0001

Data Index: 165480 (C4 (Web Text))

Max Activating Token Index: 323

Text #3

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Max Act: 0.0456. Min Act: -0.0000

Data Index: 1139226 (C4 (Web Text))

Max Activating Token Index: 743

Text #4

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Max Act: 0.0552. Min Act: -0.0000

Data Index: 1355188 (C4 (Web Text))

Max Activating Token Index: 835

Text #5

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Data Index: 941348 (C4 (Web Text))

Max Activating Token Index: 927

Text #6

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Data Index: 695386 (C4 (Web Text))

Max Activating Token Index: 995

Text #7

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Data Index: 1629003 (Python Code)

Max Activating Token Index: 878

Text #8

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Data Index: 1541179 (Python Code)

Max Activating Token Index: 477

Text #9

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Max Activating Token Index: 771

Text #10

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Max Activating Token Index: 957

Text #11

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Data Index: 1181890 (C4 (Web Text))

Max Activating Token Index: 660

Text #12

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Data Index: 214664 (C4 (Web Text))

Max Activating Token Index: 932

Text #13

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Data Index: 1504152 (Python Code)

Max Activating Token Index: 458

Text #14

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Data Index: 1441362 (Python Code)

Max Activating Token Index: 248

Text #15

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Max Activating Token Index: 920

Text #16

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Data Index: 1580751 (Python Code)

Max Activating Token Index: 453

Text #17

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Data Index: 1016208 (C4 (Web Text))

Max Activating Token Index: 321

Text #18

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Data Index: 1630117 (Python Code)

Max Activating Token Index: 908

Text #19

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Data Index: 1589504 (Python Code)

Max Activating Token Index: 965