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

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

Neuron 503 in Layer 0

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



Text #0

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Max Act: 0.0088. Min Act: -0.0003

Data Index: 1489945 (Python Code)

Max Activating Token Index: 982

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Text #1

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Max Act: 0.0083. Min Act: -0.0002

Data Index: 1543702 (Python Code)

Max Activating Token Index: 157

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Text #2

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Max Act: 0.0080. Min Act: -0.0002

Data Index: 1539797 (Python Code)

Max Activating Token Index: 9

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Text #3

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Max Act: 0.0079. Min Act: -0.0002

Data Index: 1553595 (Python Code)

Max Activating Token Index: 394

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Text #4

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Data Index: 1362453 (Python Code)

Max Activating Token Index: 593

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Text #5

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Data Index: 1565043 (Python Code)

Max Activating Token Index: 283

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Text #6

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Data Index: 1434910 (Python Code)

Max Activating Token Index: 314

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Text #7

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Data Index: 1426153 (Python Code)

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Text #8

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Data Index: 1567020 (Python Code)

Max Activating Token Index: 538

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Text #9

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Data Index: 1428878 (Python Code)

Max Activating Token Index: 322

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Text #10

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Data Index: 1542062 (Python Code)

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Text #11

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Data Index: 1368662 (Python Code)

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Text #12

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Data Index: 1626161 (Python Code)

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Text #13

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Data Index: 1609593 (Python Code)

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Text #14

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Data Index: 1363591 (Python Code)

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Text #15

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Data Index: 68763 (C4 (Web Text))

Max Activating Token Index: 100

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Text #16

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Data Index: 466878 (C4 (Web Text))

Max Activating Token Index: 501

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Text #17

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Data Index: 1598479 (Python Code)

Max Activating Token Index: 77

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Text #18

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Data Index: 1382213 (Python Code)

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Text #19

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Data Index: 1451268 (Python Code)

Max Activating Token Index: 429

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