Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2136 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0283. Min Act: -0.0002

Data Index: 1642617 (Python Code)

Max Activating Token Index: 301

Text #1

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Max Act: 0.0266. Min Act: -0.0003

Data Index: 230197 (C4 (Web Text))

Max Activating Token Index: 119

Text #2

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Max Act: 0.0261. Min Act: -0.0002

Data Index: 1590889 (Python Code)

Max Activating Token Index: 935

Text #3

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Max Act: 0.0259. Min Act: -0.0002

Data Index: 1424804 (Python Code)

Max Activating Token Index: 98

Text #4

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Max Act: 0.0258. Min Act: -0.0002

Data Index: 1421263 (Python Code)

Max Activating Token Index: 26

Text #5

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Max Act: 0.0258. Min Act: -0.0002

Data Index: 1445196 (Python Code)

Max Activating Token Index: 142

Text #6

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Data Index: 1530500 (Python Code)

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Text #7

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Data Index: 1528925 (Python Code)

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Text #8

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Data Index: 1441413 (Python Code)

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Text #9

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Data Index: 1406225 (Python Code)

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Text #10

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Data Index: 1372697 (Python Code)

Max Activating Token Index: 1004

Text #11

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Data Index: 1387939 (Python Code)

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Text #12

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Data Index: 1479293 (Python Code)

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Text #13

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Data Index: 1436492 (Python Code)

Max Activating Token Index: 598

Text #14

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Data Index: 1473487 (Python Code)

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Text #15

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Data Index: 1603318 (Python Code)

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Text #16

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Data Index: 1371588 (Python Code)

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Text #17

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Data Index: 1360010 (Python Code)

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Text #18

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Data Index: 1615445 (Python Code)

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Text #19

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Max Act: 0.0249. Min Act: -0.0002

Data Index: 1455355 (Python Code)

Max Activating Token Index: 233