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

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

Neuron 1935 in Layer 1

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

Text #0

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Max Act: 0.0228. Min Act: -0.0006

Data Index: 1411322 (Python Code)

Max Activating Token Index: 41

Text #1

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Max Act: 0.0229. Min Act: -0.0006

Data Index: 1462327 (Python Code)

Max Activating Token Index: 626

Text #2

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Max Act: 0.0223. Min Act: -0.0006

Data Index: 1596606 (Python Code)

Max Activating Token Index: 699

Text #3

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Max Act: 0.0222. Min Act: -0.0006

Data Index: 1547093 (Python Code)

Max Activating Token Index: 335

Text #4

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Max Act: 0.0226. Min Act: -0.0006

Data Index: 1493610 (Python Code)

Max Activating Token Index: 198

Text #5

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Max Act: 0.0217. Min Act: -0.0006

Data Index: 1437104 (Python Code)

Max Activating Token Index: 86

Text #6

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Data Index: 1553914 (Python Code)

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Text #7

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Data Index: 1505834 (Python Code)

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Text #8

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Data Index: 1631853 (Python Code)

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Text #9

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Data Index: 1475964 (Python Code)

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Text #10

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Data Index: 1596635 (Python Code)

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Text #11

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Data Index: 1591145 (Python Code)

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Text #12

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Data Index: 1601072 (Python Code)

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Text #13

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Data Index: 1609429 (Python Code)

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Text #14

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Data Index: 1438017 (Python Code)

Max Activating Token Index: 469

Text #15

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Data Index: 1594923 (Python Code)

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Text #16

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Data Index: 1362671 (Python Code)

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Text #17

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Data Index: 1423217 (Python Code)

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Text #18

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Data Index: 1596709 (Python Code)

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Text #19

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Max Act: 0.0208. Min Act: -0.0006

Data Index: 1362367 (Python Code)

Max Activating Token Index: 33