Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 925 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0281. Min Act: -0.0006

Data Index: 1627797 (Python Code)

Max Activating Token Index: 132

Text #1

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Max Act: 0.0261. Min Act: -0.0006

Data Index: 1484190 (Python Code)

Max Activating Token Index: 301

Text #2

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Max Act: 0.0249. Min Act: -0.0006

Data Index: 206089 (C4 (Web Text))

Max Activating Token Index: 297

Text #3

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Max Act: 0.0250. Min Act: -0.0006

Data Index: 1408161 (Python Code)

Max Activating Token Index: 440

Text #4

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Max Act: 0.0242. Min Act: -0.0006

Data Index: 1592406 (Python Code)

Max Activating Token Index: 251

Text #5

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Max Act: 0.0230. Min Act: -0.0006

Data Index: 1638484 (Python Code)

Max Activating Token Index: 781

Text #6

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Data Index: 1396541 (Python Code)

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Text #7

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Data Index: 1432380 (Python Code)

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Text #8

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Data Index: 246533 (C4 (Web Text))

Max Activating Token Index: 680

Text #9

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Data Index: 1542439 (Python Code)

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Text #10

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Data Index: 1374355 (Python Code)

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Text #11

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Data Index: 561580 (C4 (Web Text))

Max Activating Token Index: 734

Text #12

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Data Index: 1393931 (Python Code)

Max Activating Token Index: 207

Text #13

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Data Index: 1557873 (Python Code)

Max Activating Token Index: 520

Text #14

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Data Index: 1595248 (Python Code)

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Text #15

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Data Index: 1410336 (Python Code)

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Text #16

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Data Index: 1617567 (Python Code)

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Text #17

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Data Index: 1615914 (Python Code)

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Text #18

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Data Index: 1648933 (Python Code)

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Text #19

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Data Index: 1470253 (Python Code)

Max Activating Token Index: 878