Neuron Explorer

Qwen3-0.6B

genes, genomes and exons

A neuron in layer 3 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. It is featured, so it has steering outputs.

What this neuron does

This neuron responds to genetics vocabulary, especially words like 'exons', 'introns', 'conserved' and 'HERVs' from gene and genome science. It is turned off by words like 'animal' and 'animals'. When turned up, the model's writing moved toward talk of mRNA and proteins.

Written by Claude from this neuron's activations and steering outputs. Confidence: high. Think it is wrong? Flag it (opens a prefilled issue on GitHub).

Fires most on

The text windows where this neuron's activation was highest. Amber marks positive activation; the outlined token is the peak. Hover a token for its strength.

  1. #1 peak

    Model of probabilities (HMMgene) also can locate donor and acceptor sites.⏎- Splice variants: Alternative splicing, resulting in different combination of exons, has been found to occur⏎in the primary transcripts of at least 4

  2. #2 peak

    - Search for consensus intron/exon sequences:⏎Analysis of a large number of mRNA genes has led to the identification of highly conserved consensus sequences⏎at the 5' and 3' ends of essentially all

  3. #3 peak

    from the genome by a process known as recombinational deletion. They are thought to play a key role in evolution.⏎Human endogenous retroviruses (HERVs) are suspected of involvement in some autoimmune diseases, and cancers and in particular with

  4. #4 peak

    )⏎which is converted into mRNA by the splicing out of internal sequences called "introns". The coding sequence in the mRNA⏎is derived from internal sequences called "ex

  5. #5 peak

    with twice as much insulin or clotting factor as normal. At the very least, duplicate genes should be unnecessary and therefore vulnerable to being degraded into functionless pseudogenes as new mutations arise over time⏎An NIH-supported team offers a possible answer

  6. #6 peak

    alternative burial rituals.⏎With a team of four counselors, psychologist Noé Kasali — who heads Bethesda's counseling program<|endoftext|>Human Endogenous Retroviruses (HERVs)⏎

Steering

Push this neuron up or down while the model writes, and watch what changes. The outputs were generated ahead of time, so nothing runs in your browser.

turned down a lot
Prompt

Here is something I have been thinking about lately: that's not, and the direction is where the direction of the magnetic field orientation angle. The first part is about the topic's interest. The application is not about a topic where the application is about the direction of the magnetic field orientation force

Most negative on

Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.

  1. #1 peak

    may only apply to the chromosome 22 mutation.⏎“The authors should test the same hypothesis in other animal models of autism,” says Agustin Legido, professor of pediatrics and neuro

  2. #2 peak

    ide-binding protein, suggesting that animals under calorie restriction can establish a structurally balanced architecture of gut microbiota that may

  3. #3 peak

    from Harvard University and the Max Planck Institute of Neurobiology in Martinsried has now discovered individual neurons in the brain of zebrafish larvae that control the animals' swimming speed. Human movements are also

  4. #4 peak

    these observations have led to the evolution of the Common Disease / Rare Variant hypothesis suggesting that the majority of the "missing heritability" in common and complex phenotypes is instead due to an individual's personal profile of rare or private DNA variants6

Connections

Show on map

Which neurons in earlier layers feed this one, and which later ones it feeds. Amber links excite, blue links suppress; longer bars are stronger.

Fed by earlier layers

  1. L0:1224 suppresses
  2. L0:1301 weakly suppresses
  3. L2:72 weakly suppresses
  4. L2:36 weakly excites
  5. L1:1464 weakly excites
  6. L0:178 weakly suppresses
  7. L2:2328 weakly suppresses
  8. L2:1899 weakly excites
  9. L2:111 weakly suppresses
  10. L2:1657 weakly excites
  11. L0:1823 weakly suppresses
  12. L1:439 weakly excites
  13. L2:570 weakly suppresses
  14. L2:94 weakly suppresses
  15. L1:162 weakly excites
  16. L2:246 weakly excites
  17. L1:1898 weakly excites
  18. L2:1334 weakly suppresses
  19. L1:1262 weakly suppresses
  20. L1:1960 weakly excites
  21. L1:87 weakly suppresses
  22. L1:1337 weakly suppresses
  23. L2:481 weakly excites
  24. L0:2322 weakly suppresses

Feeds later layers

  1. L22:814 excites
  2. L19:915 excites
  3. L4:259 excites
  4. L4:2730 excites
  5. L4:2590 excites
  6. L17:958 excites
  7. L4:1837 excites
  8. L26:1770 excites
  9. L23:2968 excites
  10. L4:2742 excites
  11. L24:1306 excites
  12. L22:1717 excites
  13. L20:1685 excites
  14. L4:1669 excites
  15. L4:2592 excites
  16. L21:1166 excites
  17. L4:2713 excites
  18. L24:2474 excites
  19. L21:2412 excites
  20. L21:406 excites
  21. L9:1869 excites
  22. L23:76 suppresses
  23. L4:1649 excites
  24. L26:1012 excites

Activation histogram

How often this neuron fires at each strength. Almost always it does close to nothing (the tall bars in the middle); the snippets above are the rare moments it fired hard, amber for positive and blue for negative.

1 values between -1.00 and -0.6929 values between -0.69 and -0.371607 values between -0.37 and -0.062245 values between -0.06 and 0.2516 values between 0.25 and 0.561 values between 0.56 and 0.874 values between 0.87 and 1.191 values between 1.19 and 1.502 values between 1.50 and 1.811 values between 4.30 and 4.611 values between 11.16 and 11.47offnegativepositiveoften

Logit lens

The words this neuron nudges the model toward (amber) or away from (blue) when it fires. A hint, not a label: many neurons work through later layers instead.

Promotes

  1. allele
  2. genomes
  3. genome
  4. 基因
  5. genome
  6. allele
  7. ensem
  8. alleles
  9. genes
  10. plemented

Suppresses

  1. 井
  2. lint
  3. 视线
  4. 册
  5. curl
  6. sales
  7. ष
  8. hat
  9. createForm
  10. InstanceState