Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1507 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0334. Min Act: -0.0004

Data Index: 1364379 (Python Code)

Max Activating Token Index: 711

Text #1

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Max Act: 0.0313. Min Act: -0.0004

Data Index: 1543680 (Python Code)

Max Activating Token Index: 126

Text #2

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Max Act: 0.0308. Min Act: -0.0003

Data Index: 1388179 (Python Code)

Max Activating Token Index: 294

Text #3

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Max Act: 0.0299. Min Act: -0.0003

Data Index: 1459504 (Python Code)

Max Activating Token Index: 963

Text #4

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Max Act: 0.0283. Min Act: -0.0004

Data Index: 1491826 (Python Code)

Max Activating Token Index: 258

Text #5

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Max Act: 0.0289. Min Act: -0.0004

Data Index: 1550379 (Python Code)

Max Activating Token Index: 411

Text #6

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Data Index: 1523032 (Python Code)

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Text #7

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Data Index: 1468741 (Python Code)

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Text #8

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Data Index: 1612356 (Python Code)

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Text #9

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Data Index: 1580614 (Python Code)

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Text #10

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Data Index: 1545509 (Python Code)

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Text #11

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Data Index: 1464820 (Python Code)

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Text #12

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Data Index: 1450740 (Python Code)

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Text #13

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Data Index: 1533167 (Python Code)

Max Activating Token Index: 839

Text #14

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Data Index: 1648353 (Python Code)

Max Activating Token Index: 659

Text #15

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Data Index: 1597189 (Python Code)

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Text #16

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Data Index: 1451328 (Python Code)

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Text #17

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Data Index: 1543232 (Python Code)

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Text #18

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Data Index: 1425801 (Python Code)

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Text #19

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Max Act: 0.0258. Min Act: -0.0004

Data Index: 1484821 (Python Code)

Max Activating Token Index: 825