Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 693 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0294. Min Act: -0.0006

Data Index: 1648647 (Python Code)

Max Activating Token Index: 280

Text #1

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Max Act: 0.0285. Min Act: -0.0006

Data Index: 1472250 (Python Code)

Max Activating Token Index: 485

Text #2

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Max Act: 0.0287. Min Act: -0.0006

Data Index: 1365238 (Python Code)

Max Activating Token Index: 52

Text #3

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Max Act: 0.0279. Min Act: -0.0006

Data Index: 1624645 (Python Code)

Max Activating Token Index: 206

Text #4

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Max Act: 0.0240. Min Act: -0.0006

Data Index: 1077082 (C4 (Web Text))

Max Activating Token Index: 643

Text #5

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Max Act: 0.0291. Min Act: -0.0006

Data Index: 1163238 (C4 (Web Text))

Max Activating Token Index: 777

Text #6

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Data Index: 400177 (C4 (Web Text))

Max Activating Token Index: 838

Text #7

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Data Index: 377537 (C4 (Web Text))

Max Activating Token Index: 610

Text #8

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Max Activating Token Index: 705

Text #9

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Data Index: 621457 (C4 (Web Text))

Max Activating Token Index: 621

Text #10

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Data Index: 1459652 (Python Code)

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Text #11

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Data Index: 1382920 (Python Code)

Max Activating Token Index: 252

Text #12

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Data Index: 1614077 (Python Code)

Max Activating Token Index: 585

Text #13

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Data Index: 1590202 (Python Code)

Max Activating Token Index: 572

Text #14

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Data Index: 1404891 (Python Code)

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Text #15

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Data Index: 1540201 (Python Code)

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Text #16

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Max Activating Token Index: 536

Text #17

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Text #18

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Data Index: 967192 (C4 (Web Text))

Max Activating Token Index: 798

Text #19

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Max Act: 0.0243. Min Act: -0.0006

Data Index: 1527229 (Python Code)

Max Activating Token Index: 676