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

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

Neuron 1962 in Layer 1

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

Text #0

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Max Act: 0.0202. Min Act: -0.0003

Data Index: 1648023 (Python Code)

Max Activating Token Index: 861

Text #1

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Max Act: 0.0195. Min Act: -0.0003

Data Index: 1416181 (Python Code)

Max Activating Token Index: 431

Text #2

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Max Act: 0.0202. Min Act: -0.0003

Data Index: 1378142 (Python Code)

Max Activating Token Index: 377

Text #3

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Max Act: 0.0185. Min Act: -0.0003

Data Index: 1361278 (Python Code)

Max Activating Token Index: 986

Text #4

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Max Act: 0.0183. Min Act: -0.0003

Data Index: 1588827 (Python Code)

Max Activating Token Index: 347

Text #5

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Max Act: 0.0176. Min Act: -0.0003

Data Index: 1563157 (Python Code)

Max Activating Token Index: 567

Text #6

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Data Index: 1453218 (Python Code)

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Text #7

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Data Index: 1530193 (Python Code)

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Text #8

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Data Index: 1628974 (Python Code)

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Text #9

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Data Index: 1519431 (Python Code)

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Text #10

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Data Index: 1368544 (Python Code)

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Data Index: 1523347 (Python Code)

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Text #12

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Data Index: 1571488 (Python Code)

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Text #13

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Data Index: 1367830 (Python Code)

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Text #14

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Data Index: 1556190 (Python Code)

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Text #15

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Data Index: 1504743 (Python Code)

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Text #16

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Data Index: 1591167 (Python Code)

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Text #17

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Data Index: 1546294 (Python Code)

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Text #18

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Data Index: 1507693 (Python Code)

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Text #19

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Max Act: 0.0172. Min Act: -0.0003

Data Index: 1402723 (Python Code)

Max Activating Token Index: 367