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

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

Neuron 604 in Layer 1

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

Text #0

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Max Act: 0.0384. Min Act: -0.0004

Data Index: 1588113 (Python Code)

Max Activating Token Index: 808

Text #1

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Max Act: 0.0325. Min Act: -0.0004

Data Index: 1521698 (Python Code)

Max Activating Token Index: 222

Text #2

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Max Act: 0.0315. Min Act: -0.0004

Data Index: 1541353 (Python Code)

Max Activating Token Index: 311

Text #3

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Max Act: 0.0321. Min Act: -0.0004

Data Index: 1468852 (Python Code)

Max Activating Token Index: 426

Text #4

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Max Act: 0.0306. Min Act: -0.0004

Data Index: 1388876 (Python Code)

Max Activating Token Index: 99

Text #5

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Max Act: 0.0314. Min Act: -0.0004

Data Index: 1593600 (Python Code)

Max Activating Token Index: 464

Text #6

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Max Act: 0.0304. Min Act: -0.0004

Data Index: 1588679 (Python Code)

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Text #7

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Data Index: 1543099 (Python Code)

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Text #8

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Data Index: 1452494 (Python Code)

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Text #9

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Max Act: 0.0301. Min Act: -0.0004

Data Index: 1489962 (Python Code)

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Text #10

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Data Index: 1375170 (Python Code)

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Text #11

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Data Index: 1631193 (Python Code)

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Text #12

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Data Index: 1504602 (Python Code)

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Text #13

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Data Index: 1437586 (Python Code)

Max Activating Token Index: 492

Text #14

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Data Index: 1580352 (Python Code)

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Text #15

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Data Index: 1477540 (Python Code)

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Text #16

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Data Index: 1642403 (Python Code)

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Text #17

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Data Index: 1642859 (Python Code)

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Text #18

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Data Index: 1652080 (Python Code)

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Text #19

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Max Act: 0.0291. Min Act: -0.0004

Data Index: 1550166 (Python Code)

Max Activating Token Index: 241