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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1882 in Layer 6

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 1.7365. Min Act: -0.0000

Data Index: 1290772 (C4 (Web Text))

Max Activating Token Index: 28

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Text #1

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Data Index: 820186 (C4 (Web Text))

Max Activating Token Index: 9

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Text #2

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Data Index: 1328804 (C4 (Web Text))

Max Activating Token Index: 696

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Text #3

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Data Index: 224135 (C4 (Web Text))

Max Activating Token Index: 10

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Text #4

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Data Index: 282298 (C4 (Web Text))

Max Activating Token Index: 922

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Text #5

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Data Index: 1154180 (C4 (Web Text))

Max Activating Token Index: 637

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Text #6

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Data Index: 735212 (C4 (Web Text))

Max Activating Token Index: 337

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Text #7

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Data Index: 959987 (C4 (Web Text))

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Text #8

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Data Index: 772614 (C4 (Web Text))

Max Activating Token Index: 586

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Text #9

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Data Index: 144716 (C4 (Web Text))

Max Activating Token Index: 965

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Text #10

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Data Index: 456792 (C4 (Web Text))

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Text #11

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Data Index: 1335287 (C4 (Web Text))

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Text #12

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Data Index: 264342 (C4 (Web Text))

Max Activating Token Index: 846

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Text #13

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Data Index: 4878 (C4 (Web Text))

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Text #14

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Data Index: 362827 (C4 (Web Text))

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Text #15

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Data Index: 1016414 (C4 (Web Text))

Max Activating Token Index: 930

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Text #16

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Data Index: 956750 (C4 (Web Text))

Max Activating Token Index: 692

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Text #17

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Data Index: 336065 (C4 (Web Text))

Max Activating Token Index: 31

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Text #18

Max Range: 1.8237. Min Range: -1.8237

Max Act: 1.4971. Min Act: -0.0000

Data Index: 1627897 (Python Code)

Max Activating Token Index: 947

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Text #19

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Data Index: 1533888 (Python Code)

Max Activating Token Index: 14

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