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

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

Neuron 656 in Layer 2

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



Text #0

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Max Act: 0.0169. Min Act: -0.0001

Data Index: 235295 (C4 (Web Text))

Max Activating Token Index: 605

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Text #1

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Data Index: 1593973 (Python Code)

Max Activating Token Index: 815

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Text #2

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Max Act: 0.0166. Min Act: -0.0001

Data Index: 1525603 (Python Code)

Max Activating Token Index: 958

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Text #3

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Max Act: 0.0149. Min Act: -0.0001

Data Index: 956266 (C4 (Web Text))

Max Activating Token Index: 156

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Text #4

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Data Index: 1480917 (Python Code)

Max Activating Token Index: 589

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Text #5

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Data Index: 1649092 (Python Code)

Max Activating Token Index: 500

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Text #6

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Data Index: 1460945 (Python Code)

Max Activating Token Index: 463

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Text #7

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Data Index: 1472558 (Python Code)

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Text #8

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Data Index: 1364351 (Python Code)

Max Activating Token Index: 254

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Text #9

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Data Index: 1599404 (Python Code)

Max Activating Token Index: 541

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Text #10

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Data Index: 1572486 (Python Code)

Max Activating Token Index: 599

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Text #11

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Data Index: 1364262 (Python Code)

Max Activating Token Index: 1017

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Text #12

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Data Index: 1361070 (Python Code)

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Text #13

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Data Index: 1514360 (Python Code)

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Text #14

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Data Index: 1427909 (Python Code)

Max Activating Token Index: 464

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Text #15

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Data Index: 1577119 (Python Code)

Max Activating Token Index: 997

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Text #16

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Data Index: 1370828 (Python Code)

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Text #17

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Data Index: 1421210 (Python Code)

Max Activating Token Index: 319

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Text #18

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Data Index: 1582335 (Python Code)

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Text #19

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Data Index: 1363293 (Python Code)

Max Activating Token Index: 431

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