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

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

Neuron 1212 in Layer 4

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.1084. Min Act: -0.0001

Data Index: 1022401 (C4 (Web Text))

Max Activating Token Index: 386

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Truncated

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Text #1

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Max Act: 0.1065. Min Act: -0.0001

Data Index: 1520761 (Python Code)

Max Activating Token Index: 678

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Truncated

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Text #2

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Max Act: 0.1025. Min Act: -0.0001

Data Index: 412003 (C4 (Web Text))

Max Activating Token Index: 135

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Text #3

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Max Act: 0.1062. Min Act: -0.0001

Data Index: 332146 (C4 (Web Text))

Max Activating Token Index: 878

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Truncated

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Text #4

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Max Act: 0.0971. Min Act: -0.0001

Data Index: 1341498 (C4 (Web Text))

Max Activating Token Index: 853

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Truncated

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Text #5

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Data Index: 1432398 (Python Code)

Max Activating Token Index: 928

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Text #6

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Data Index: 321810 (C4 (Web Text))

Max Activating Token Index: 664

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Text #7

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Data Index: 1590225 (Python Code)

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Text #8

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Data Index: 513447 (C4 (Web Text))

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Text #9

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Data Index: 663917 (C4 (Web Text))

Max Activating Token Index: 90

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Text #10

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Data Index: 105509 (C4 (Web Text))

Max Activating Token Index: 651

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Text #11

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Data Index: 301383 (C4 (Web Text))

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Text #12

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Data Index: 548609 (C4 (Web Text))

Max Activating Token Index: 537

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Text #13

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Data Index: 1024492 (C4 (Web Text))

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Text #14

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Data Index: 1252674 (C4 (Web Text))

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Text #15

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Data Index: 398310 (C4 (Web Text))

Max Activating Token Index: 990

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Text #16

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Data Index: 406014 (C4 (Web Text))

Max Activating Token Index: 839

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Text #17

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Max Act: 0.0898. Min Act: -0.0001

Data Index: 668871 (C4 (Web Text))

Max Activating Token Index: 242

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Text #18

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Max Act: 0.0956. Min Act: -0.0001

Data Index: 1035642 (C4 (Web Text))

Max Activating Token Index: 819

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Text #19

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Data Index: 752555 (C4 (Web Text))

Max Activating Token Index: 748

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