Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2857 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0278. Min Act: -0.0003

Data Index: 1506053 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0227. Min Act: -0.0003

Data Index: 1411744 (Python Code)

Max Activating Token Index: 686

Text #2

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Max Act: 0.0221. Min Act: -0.0003

Data Index: 1443026 (Python Code)

Max Activating Token Index: 465

Text #3

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Max Act: 0.0218. Min Act: -0.0003

Data Index: 1437350 (Python Code)

Max Activating Token Index: 869

Text #4

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Max Act: 0.0217. Min Act: -0.0003

Data Index: 1542305 (Python Code)

Max Activating Token Index: 148

Text #5

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Max Act: 0.0207. Min Act: -0.0003

Data Index: 1631450 (Python Code)

Max Activating Token Index: 793

Text #6

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Max Act: 0.0212. Min Act: -0.0003

Data Index: 1393053 (Python Code)

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Text #7

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Data Index: 1642269 (Python Code)

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Text #8

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Data Index: 1485739 (Python Code)

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Text #9

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Data Index: 1430499 (Python Code)

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Text #10

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Data Index: 1550952 (Python Code)

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Text #11

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Data Index: 1530490 (Python Code)

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Text #12

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Data Index: 1424863 (Python Code)

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Text #13

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Data Index: 1506774 (Python Code)

Max Activating Token Index: 547

Text #14

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Data Index: 1408776 (Python Code)

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Text #15

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Data Index: 1572381 (Python Code)

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Text #16

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Data Index: 1576623 (Python Code)

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Text #17

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Data Index: 1472083 (Python Code)

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Text #18

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Data Index: 1386012 (Python Code)

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Text #19

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Max Act: 0.0195. Min Act: -0.0003

Data Index: 1371993 (Python Code)

Max Activating Token Index: 616