Neuron Explorer

Qwen3-0.6B

'certain' meaning 'some particular'

A neuron in layer 6 of Qwen3-0.6B. Its strongest snippets are very consistent: they mostly peak on the same token. It is featured, so it has steering outputs.

What this neuron does

This neuron reacts to the word 'certain' when it means 'some particular ones', as in 'certain terms', 'certain insects' or 'certain proteins'. Turning it up gave unrelated, wandering text.

Written by Claude from this neuron's activations and steering outputs. Confidence: medium. 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

    a child’s immune system is functioning. Specifically, the test measures the levels of certain autoantibodies (responsible for causing the symptoms) circulating in a child

  2. #2 peak

    , subject to certain terms and conditions, the SEAI offers grants for both solar PV and EV charger

  3. #3 peak

    008, and while last year it was reported that they were suspected to be from a new species, the researchers have only now announced that they have found certain unique aspects to the fossil that definitively prove their hunch, and are able

  4. #4 peak

    the AGCT alphabet of nucleotides). We are then given estimates of the distance from an origin. Usually, one enzyme is used to estimate the percentage of certain bacteria. This experiment used three different enzymes in the hope of getting better estimates of

  5. #5 peak

    .”⏎The samples for the experiment on the ISS had been prepared in December 2016 already at NASA, USA. Thereby the researchers chemically modified certain proteins, thus contaminating protein solutions, which will be used for crystallization experiments

  6. #6 peak

    6, corn containing a gene that allows it to create a protein that is toxic to certain insects, yet safe for human consumption, has been grown in the United States.⏎

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: I don't have a computer, a phone, or a book. I'm sorry, but this is not a joke. Let me just think about the next thing. In other words, I don't have a cat or dog. I

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

    by Maria Ciaccio⏎©2018 Chicago Botanic Garden and my.chicagobotanic.org<|endoftext|>Hello. Sign In⏎Please enter a valid city, state or zip code⏎With the Food and Drug Administration (FDA)

  2. #2 peak

    well as a foolproof template for putting them into practice. The ACT essay is a very short assignment—you only get 40 minutes to write a full-fledged essay—and it can pass in a flash if you don't have a method for

  3. #3 peak

    putting the major burden of the wars on that class.⏎We’ve answered 319,210 questions. We can answer yours, too.Ask a question<|endoftext|>Given how important financial skills are to navigating life, it’s surprising that

  4. #4 peak

    Mediation is a remedial supplementary process for amicable resolution of disputes between disputants within reasonable time with mo additional cost.⏎(3) WHAT HAPPENS IN A MEDIATION -Mediation is a structured process and Comprises of various stages

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. L4:49 excites
  2. L5:225 suppresses
  3. L4:731 excites
  4. L4:392 weakly suppresses
  5. L2:345 weakly excites
  6. L4:137 weakly excites
  7. L0:1807 weakly suppresses
  8. L5:1372 weakly excites
  9. L4:73 weakly excites
  10. L5:2707 weakly excites
  11. L4:740 weakly excites
  12. L5:284 weakly excites
  13. L2:1829 weakly suppresses
  14. L1:427 weakly excites
  15. L2:625 weakly excites
  16. L3:1325 weakly excites
  17. L0:2656 weakly excites
  18. L3:1663 weakly suppresses
  19. L3:2187 weakly excites
  20. L4:128 weakly suppresses
  21. L4:875 weakly suppresses
  22. L5:1315 weakly excites
  23. L2:1315 weakly excites 'of' after nouns like 'variation' and 'section'
  24. L1:2748 weakly excites

Feeds later layers

  1. L13:1826 excites
  2. L14:2473 excites
  3. L8:877 excites
  4. L11:522 weakly excites
  5. L12:942 weakly suppresses
  6. L16:1310 weakly suppresses
  7. L7:1185 weakly excites
  8. L8:634 weakly excites
  9. L22:1313 weakly suppresses
  10. L21:992 weakly suppresses
  11. L11:1487 weakly excites
  12. L24:2133 weakly excites
  13. L8:158 weakly suppresses
  14. L13:1501 weakly suppresses
  15. L8:2047 weakly suppresses
  16. L8:794 weakly excites
  17. L21:2875 weakly excites
  18. L12:236 weakly excites
  19. L15:1938 weakly excites
  20. L11:2979 weakly suppresses
  21. L12:2397 weakly suppresses
  22. L14:2541 weakly suppresses
  23. L15:2860 weakly suppresses
  24. L18:1740 weakly suppresses

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.

2 values between -1.75 and -1.631 values between -1.63 and -1.522 values between -1.29 and -1.184 values between -1.18 and -1.076 values between -1.07 and -0.962 values between -0.96 and -0.846 values between -0.84 and -0.7313 values between -0.73 and -0.6210 values between -0.62 and -0.5032 values between -0.50 and -0.3966 values between -0.39 and -0.28251 values between -0.28 and -0.17774 values between -0.17 and -0.051772 values between -0.05 and 0.06645 values between 0.06 and 0.17198 values between 0.17 and 0.2957 values between 0.29 and 0.4015 values between 0.40 and 0.5118 values between 0.51 and 0.629 values between 0.62 and 0.745 values between 0.74 and 0.853 values between 0.85 and 0.964 values between 0.96 and 1.083 values between 1.08 and 1.193 values between 1.19 and 1.302 values between 1.53 and 1.641 values between 1.64 and 1.752 values between 1.75 and 1.871 values between 1.87 and 1.981 values between 2.66 and 2.77offnegativepositiveoften

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. unct
  2. rans
  3. UNCT
  4. uded
  5. vably
  6. rance
  7. uned
  8. 不完
  9. RAINT
  10. ukes

Suppresses

  1. 躺在床上
  2. Comfort
  3. Scalars
  4. isphere
  5. Logged
  6. Quaternion
  7. EXPECT
  8. (sin
  9. 有任何
  10. /operator