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

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

Neuron 3184 in Layer 7

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



Text #0

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Max Act: 1.0965. Min Act: -0.0001

Data Index: 1175512 (C4 (Web Text))

Max Activating Token Index: 415

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Text #1

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Max Act: 0.8210. Min Act: -0.0001

Data Index: 295123 (C4 (Web Text))

Max Activating Token Index: 567

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Text #2

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Max Act: 0.8929. Min Act: -0.0001

Data Index: 1652980 (Python Code)

Max Activating Token Index: 89

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Text #3

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Max Act: 0.7340. Min Act: -0.0001

Data Index: 1120728 (C4 (Web Text))

Max Activating Token Index: 372

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Text #4

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Max Act: 0.7873. Min Act: -0.0001

Data Index: 1543649 (Python Code)

Max Activating Token Index: 605

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Text #5

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Data Index: 1583797 (Python Code)

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Text #6

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Data Index: 1465084 (Python Code)

Max Activating Token Index: 300

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Text #7

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Data Index: 1544269 (Python Code)

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Text #8

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Data Index: 1494627 (Python Code)

Max Activating Token Index: 365

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Text #9

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Data Index: 1544283 (Python Code)

Max Activating Token Index: 27

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Text #10

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Data Index: 1583705 (Python Code)

Max Activating Token Index: 436

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Text #11

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Data Index: 1487318 (Python Code)

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Text #12

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Data Index: 395350 (C4 (Web Text))

Max Activating Token Index: 782

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Text #13

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Data Index: 1510978 (Python Code)

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Text #14

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Data Index: 1505597 (Python Code)

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Text #15

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Data Index: 1531525 (Python Code)

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Text #16

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Text #17

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Data Index: 1549359 (Python Code)

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Text #18

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Data Index: 1504899 (Python Code)

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Text #19

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Max Act: 0.5861. Min Act: -0.0001

Data Index: 1104251 (C4 (Web Text))

Max Activating Token Index: 180

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