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

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

Neuron 1298 in Layer 3

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: 0.0398. Min Act: -0.0001

Data Index: 1551237 (Python Code)

Max Activating Token Index: 959

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Text #1

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Data Index: 398200 (C4 (Web Text))

Max Activating Token Index: 36

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Text #2

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Max Act: 0.0380. Min Act: -0.0001

Data Index: 518190 (C4 (Web Text))

Max Activating Token Index: 316

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Text #3

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Max Act: 0.0342. Min Act: -0.0001

Data Index: 957154 (C4 (Web Text))

Max Activating Token Index: 773

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Text #4

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Max Act: 0.0377. Min Act: -0.0001

Data Index: 463 (C4 (Web Text))

Max Activating Token Index: 670

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Text #5

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Data Index: 22357 (C4 (Web Text))

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Text #6

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Data Index: 1372010 (Python Code)

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Text #7

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Data Index: 311964 (C4 (Web Text))

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Text #8

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Data Index: 688653 (C4 (Web Text))

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Text #9

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Data Index: 420290 (C4 (Web Text))

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Text #10

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Data Index: 334810 (C4 (Web Text))

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Text #11

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Data Index: 1087508 (C4 (Web Text))

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Text #12

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Data Index: 115702 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 118029 (C4 (Web Text))

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Text #15

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Data Index: 871919 (C4 (Web Text))

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Text #16

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Text #17

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Max Act: 0.0342. Min Act: -0.0001

Data Index: 240016 (C4 (Web Text))

Max Activating Token Index: 603

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Text #18

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Data Index: 1197399 (C4 (Web Text))

Max Activating Token Index: 96

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Text #19

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Data Index: 934646 (C4 (Web Text))

Max Activating Token Index: 900

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