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

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

Neuron 1753 in Layer 0

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

Text #0

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Max Act: 0.0259. Min Act: -0.0004

Data Index: 1652188 (Python Code)

Max Activating Token Index: 450

Text #1

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Max Act: 0.0258. Min Act: -0.0004

Data Index: 710261 (C4 (Web Text))

Max Activating Token Index: 593

Text #2

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Max Act: 0.0254. Min Act: -0.0003

Data Index: 1638272 (Python Code)

Max Activating Token Index: 118

Text #3

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Max Act: 0.0254. Min Act: -0.0004

Data Index: 1377522 (Python Code)

Max Activating Token Index: 599

Text #4

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Max Act: 0.0250. Min Act: -0.0004

Data Index: 1426290 (Python Code)

Max Activating Token Index: 798

Text #5

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Max Act: 0.0246. Min Act: -0.0004

Data Index: 1492295 (Python Code)

Max Activating Token Index: 848

Text #6

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Data Index: 1637348 (Python Code)

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Text #7

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Data Index: 1562798 (Python Code)

Max Activating Token Index: 265

Text #8

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Data Index: 169061 (C4 (Web Text))

Max Activating Token Index: 962

Text #9

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Data Index: 1550947 (Python Code)

Max Activating Token Index: 841

Text #10

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Data Index: 1623386 (Python Code)

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Text #11

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Data Index: 1622014 (Python Code)

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Text #12

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Data Index: 1404948 (Python Code)

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Text #13

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Data Index: 1476568 (Python Code)

Max Activating Token Index: 436

Text #14

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Data Index: 1625717 (Python Code)

Max Activating Token Index: 919

Text #15

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Data Index: 1509321 (Python Code)

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Text #16

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Data Index: 1579345 (Python Code)

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Text #17

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Data Index: 1497657 (Python Code)

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Text #18

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Data Index: 1618382 (Python Code)

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Text #19

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Max Act: 0.0204. Min Act: -0.0004

Data Index: 1370593 (Python Code)

Max Activating Token Index: 480