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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1845 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0305. Min Act: -0.0005

Data Index: 1015991 (C4 (Web Text))

Max Activating Token Index: 710

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Text #1

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Max Act: 0.0241. Min Act: -0.0005

Data Index: 1150279 (C4 (Web Text))

Max Activating Token Index: 738

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Truncated

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Text #2

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Max Act: 0.0243. Min Act: -0.0005

Data Index: 851174 (C4 (Web Text))

Max Activating Token Index: 89

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Text #3

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Max Act: 0.0243. Min Act: -0.0004

Data Index: 774894 (C4 (Web Text))

Max Activating Token Index: 115

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Truncated

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Text #4

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Data Index: 1619270 (Python Code)

Max Activating Token Index: 128

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Text #5

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Data Index: 481943 (C4 (Web Text))

Max Activating Token Index: 421

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Text #6

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Data Index: 642250 (C4 (Web Text))

Max Activating Token Index: 641

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Text #7

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Data Index: 29031 (C4 (Web Text))

Max Activating Token Index: 607

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Truncated

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Text #8

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Data Index: 947895 (C4 (Web Text))

Max Activating Token Index: 791

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Text #9

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Data Index: 1219182 (C4 (Web Text))

Max Activating Token Index: 545

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Text #10

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Data Index: 1317495 (C4 (Web Text))

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Truncated

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Text #11

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Data Index: 471859 (C4 (Web Text))

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Text #12

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Data Index: 618608 (C4 (Web Text))

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Text #13

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Data Index: 1218819 (C4 (Web Text))

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Text #14

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Data Index: 562644 (C4 (Web Text))

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Text #15

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Data Index: 766248 (C4 (Web Text))

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Text #16

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Data Index: 486657 (C4 (Web Text))

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Text #17

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Data Index: 1561992 (Python Code)

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Text #18

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Data Index: 5508 (C4 (Web Text))

Max Activating Token Index: 207

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Text #19

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Data Index: 232443 (C4 (Web Text))

Max Activating Token Index: 860

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