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

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

Neuron 2534 in Layer 5

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



Text #0

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Max Act: 1.3569. Min Act: -0.0000

Data Index: 1292277 (C4 (Web Text))

Max Activating Token Index: 1017

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Text #1

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Max Act: 0.9992. Min Act: -0.0001

Data Index: 1602770 (Python Code)

Max Activating Token Index: 913

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Text #2

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Max Act: 0.8922. Min Act: -0.0000

Data Index: 960979 (C4 (Web Text))

Max Activating Token Index: 985

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Text #3

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Max Act: 0.8610. Min Act: -0.0000

Data Index: 575348 (C4 (Web Text))

Max Activating Token Index: 105

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Text #4

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Data Index: 257000 (C4 (Web Text))

Max Activating Token Index: 60

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Text #5

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Max Act: 0.9124. Min Act: -0.0001

Data Index: 1556091 (Python Code)

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Text #6

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Data Index: 597756 (C4 (Web Text))

Max Activating Token Index: 360

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Text #7

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Data Index: 1285824 (C4 (Web Text))

Max Activating Token Index: 944

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Text #8

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Data Index: 1297287 (C4 (Web Text))

Max Activating Token Index: 1013

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Text #9

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Data Index: 554577 (C4 (Web Text))

Max Activating Token Index: 29

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Text #10

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Data Index: 256446 (C4 (Web Text))

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Text #11

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Data Index: 128278 (C4 (Web Text))

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Text #12

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Data Index: 99355 (C4 (Web Text))

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Text #13

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Data Index: 752945 (C4 (Web Text))

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Text #14

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Data Index: 1210373 (C4 (Web Text))

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Text #15

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Data Index: 1502830 (Python Code)

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Text #16

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Data Index: 1279676 (C4 (Web Text))

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Text #17

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Max Act: 0.6809. Min Act: -0.0001

Data Index: 435639 (C4 (Web Text))

Max Activating Token Index: 433

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Text #18

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Max Act: 0.6945. Min Act: -0.0001

Data Index: 509504 (C4 (Web Text))

Max Activating Token Index: 247

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Text #19

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Data Index: 905414 (C4 (Web Text))

Max Activating Token Index: 703

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