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Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 10 in Layer 1

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')



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Max Act: 0.0248. Min Act: -0.0003

Data Index: 1588203 (Python Code)

Max Activating Token Index: 137

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Text #1

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Max Act: 0.0226. Min Act: -0.0003

Data Index: 1506837 (Python Code)

Max Activating Token Index: 413

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Text #2

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Max Act: 0.0220. Min Act: -0.0004

Data Index: 1424264 (Python Code)

Max Activating Token Index: 579

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Text #3

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Data Index: 1419360 (Python Code)

Max Activating Token Index: 489

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Text #4

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Data Index: 1513152 (Python Code)

Max Activating Token Index: 532

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Text #5

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Data Index: 1378478 (Python Code)

Max Activating Token Index: 706

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Text #6

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Data Index: 1552028 (Python Code)

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Text #7

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Data Index: 1428671 (Python Code)

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Text #8

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Data Index: 1619649 (Python Code)

Max Activating Token Index: 947

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Text #9

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Data Index: 1466199 (Python Code)

Max Activating Token Index: 496

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Text #10

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Data Index: 1367709 (Python Code)

Max Activating Token Index: 683

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Text #11

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Text #12

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Text #13

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Data Index: 1561718 (Python Code)

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Text #14

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Data Index: 1386025 (Python Code)

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Text #15

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Data Index: 1646397 (Python Code)

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Text #16

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Text #17

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Text #18

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Data Index: 1602330 (Python Code)

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Text #19

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Data Index: 857064 (C4 (Web Text))

Max Activating Token Index: 108

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