Neuron Explorer

Qwen3-0.6B

'time' in time frame phrases

A neuron in layer 22 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 lights up on the word 'time' when it comes right before 'frame', 'period' or 'scale', as in 'time frame' or 'time period'. When it was turned up, the model kept producing the word 'frame' over and over.

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

    one of the popular development methodologies that allows development teams to create a working product with high-quality code in a predictable time frame. Below we will describe Agile cycles and also indicate the types of projects for

  2. #2 peak

    , rather than runoff, is an important distinction because it is the source of our water supply.⏎“When we have droughts, they might seem severe on a local time scale, but the trees are going to report how droughts fit into a long

  3. #3 peak

    18-24) exposure to e-cigarette ads jumped 321% in the same time period.⏎Traditional cigarette TV ads were banned in the US in 197

  4. #4 peak

    planner – A planner could actually help. The kind with a calendar and such included in the package. You jot down all of your classes, the assignments, the time and day things are due. For some men, this could be very helpful.

  5. #5 peak

    are the most and least mobile. Researchers looked at Americans ages 35 to 39 and then examined their incomes ten years later. The study covered the time period between 1

  6. #6 peak

    ary age, but the greatest concentration is in Cretaceous and Tertiary sediments. Below is a⏎geologic time frame relating to amber formation,⏎based on Jean Langenheim's work with amber/b

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 the number of possible number of number of number of number of number of number of number of number of number of number of number of number of number of number of number of number of number of number of number of number of number of number

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

    pixels. The higher the temperature, the higher the charge leakage. A 10 degree change in temperature can noticeably change what the CCD

  2. #2 peak

    eron octahedra around the Pd10- atom with the help of the electron-phonon charge-density wave coupling.<|endoftext|>Soy Wax vs. Paraffin Wax:⏎C

  3. #3 peak

    in endoscopic techniques and in imaging help achieve these goals. Among endoscopy techniques are:⏎- Endobronchial ultrasound (EBUS)⏎- Electromagnetic navigation (EMN) with volumetric high-resolution computed tomography (HR

  4. #4 peak

    for the IB Diploma 2011 US$ 38.00 746 pages<|endoftext|>Iontophoresis, also known as Ionization, is a physical process in which ions flow diffusively in a medium

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. L20:2665 suppresses
  2. L21:278 excites
  3. L19:314 excites
  4. L21:2165 excites
  5. L21:663 suppresses
  6. L20:245 suppresses
  7. L12:573 weakly excites
  8. L4:744 weakly suppresses
  9. L0:1556 weakly suppresses
  10. L18:511 weakly excites
  11. L18:1321 weakly suppresses
  12. L7:1398 weakly excites
  13. L20:1446 weakly excites
  14. L10:564 weakly suppresses
  15. L14:2462 weakly excites
  16. L17:1015 weakly suppresses
  17. L14:1774 weakly excites
  18. L2:20 weakly excites
  19. L12:234 weakly suppresses
  20. L16:1473 weakly excites
  21. L11:2257 weakly excites
  22. L1:67 weakly suppresses
  23. L10:579 weakly suppresses
  24. L7:400 weakly suppresses

Feeds later layers

  1. L23:573 excites
  2. L26:2716 excites
  3. L27:2594 excites
  4. L25:886 excites
  5. L25:689 excites
  6. L24:1203 excites
  7. L27:815 excites
  8. L27:335 weakly excites
  9. L24:723 weakly excites the word 'subject' in subject areas
  10. L27:1757 weakly excites
  11. L25:2121 weakly excites
  12. L25:1808 weakly excites
  13. L24:2816 weakly excites
  14. L23:2477 weakly excites
  15. L26:1507 weakly excites
  16. L25:579 weakly excites
  17. L27:864 weakly excites
  18. L24:591 weakly suppresses
  19. L27:1892 weakly excites
  20. L25:2679 weakly suppresses
  21. L25:2766 weakly suppresses
  22. L23:2529 weakly excites
  23. L26:1865 weakly excites
  24. L24:1627 weakly 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 -10.91 and -10.163 values between -10.16 and -9.402 values between -9.40 and -8.641 values between -8.64 and -7.891 values between -7.89 and -7.131 values between -7.13 and -6.373 values between -5.61 and -4.867 values between -4.86 and -4.105 values between -4.10 and -3.3410 values between -3.34 and -2.599 values between -2.59 and -1.8364 values between -1.83 and -1.071413 values between -1.07 and -0.312016 values between -0.31 and 0.44159 values between 0.44 and 1.2066 values between 1.20 and 1.9645 values between 1.96 and 2.7232 values between 2.72 and 3.4712 values between 3.47 and 4.2318 values between 4.23 and 4.998 values between 4.99 and 5.757 values between 5.75 and 6.506 values between 6.50 and 7.265 values between 7.26 and 8.023 values between 8.02 and 8.772 values between 8.77 and 9.534 values between 9.53 and 10.291 values between 11.05 and 11.801 values between 14.07 and 14.831 values between 14.83 and 15.591 values between 15.59 and 16.351 values between 18.62 and 19.38offnegativepositiveoften

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. frame
  2. frame
  3. frames
  4. frames
  5. -frame
  6. Frame
  7. Frame
  8. base
  9. .frame
  10. FRAME

Suppresses

  1. elijke
  2. elijk
  3. lichkeit
  4. essor
  5. ewater
  6. 直辖市
  7. opian
  8. orough
  9. обращ
  10. обраща