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

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

Neuron 204 in Layer 2

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

Text #0

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Max Act: 0.0187. Min Act: -0.0002

Data Index: 1376156 (Python Code)

Max Activating Token Index: 658

Text #1

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Max Act: 0.0167. Min Act: -0.0002

Data Index: 472322 (C4 (Web Text))

Max Activating Token Index: 647

Text #2

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Max Act: 0.0171. Min Act: -0.0003

Data Index: 1091865 (C4 (Web Text))

Max Activating Token Index: 740

Text #3

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Max Act: 0.0162. Min Act: -0.0002

Data Index: 1425580 (Python Code)

Max Activating Token Index: 651

Text #4

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Max Act: 0.0154. Min Act: -0.0003

Data Index: 1533761 (Python Code)

Max Activating Token Index: 580

Text #5

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Max Act: 0.0149. Min Act: -0.0002

Data Index: 703413 (C4 (Web Text))

Max Activating Token Index: 629

Text #6

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Data Index: 1594802 (Python Code)

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Text #7

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Data Index: 1411604 (Python Code)

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Text #8

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Data Index: 1365553 (Python Code)

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Text #9

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Data Index: 1645756 (Python Code)

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Text #10

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Data Index: 1611931 (Python Code)

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Data Index: 1511640 (Python Code)

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Text #12

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Max Activating Token Index: 623

Text #13

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Data Index: 1455413 (Python Code)

Max Activating Token Index: 537

Text #14

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Data Index: 99502 (C4 (Web Text))

Max Activating Token Index: 583

Text #15

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Data Index: 1605380 (Python Code)

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Text #16

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Text #17

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Data Index: 1631507 (Python Code)

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Text #18

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Data Index: 1487665 (Python Code)

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Text #19

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Max Act: 0.0141. Min Act: -0.0003

Data Index: 1375860 (Python Code)

Max Activating Token Index: 693