Neuron Explorer

Qwen3-0.6B

'of' after 'temperature' or 'rate'

A neuron in layer 22 of Qwen3-0.6B. Its strongest snippets are fairly consistent: several of them peak on the same token. It is featured, so it has steering outputs.

What this neuron does

This neuron fires on the word 'of' when it comes right after a measure like 'temperature of' or 'rate of'. Turning it up made the writing wander, and turning it down made it repeat words like 'amount' and 'level'.

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

    ormal, air-entraining Type IIModerate sulfate resistance Type IIAModerate sulfate resistance, air-entraining Type II (MH) Moderate heat of hydration and moderate sulfate resistance⏎Types

  2. #2 peak

    • Describe the capital budgeting process⏎• Understand and apply the following capital budgeting techniques:⏎o Payback period⏎o Net present value⏎o Internal rate of return<|endoftext|>Becoming a Reader: A Developmental Approach to Reading Instruction (

  3. #3 peak

    heated back up to room temperature before it is released back to the air conditioned area.⏎Relative humidity – the moisture contained in any given air mass relative to the temperature of that air. Homes have a HVAC device (heat, ventilation, and air conditioning

  4. #4 peak

    cence. The glow becomes yellow as the temperature is lowered and orange-red at the temperature of liquid air.⏎Fluorine is reported to react with radon, forming

  5. #5 peak

    such as shredded bark or compost to help keep the soil at a consistent temperature. Spread mulch from the main stem out to a foot or so

  6. #6 peak

    to or at the speed of light, this would cause them to gain near-infinite mass, according to the laws of relativity.⏎For example, the

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: The amount of money amount levels amount levels amount levels amount levels amount levels amount levels amount levels amount levels amount levels amount levels amount levels amount levels amount levels amount levels amount levels amount levels amount levels amount levels amount levels amount levels amount levels amount levels

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

    ettlement, the average age of these children in 2004 was only 15 years old, with 79% of the children between the ages of 15–18 and 20% under the age

  2. #2 peak

    . For a 160 pound man, that translates to 72 to 109 grams of protein per day, which is well within the recommended range (10-35 percent of calories).⏎- Type of protein:

  3. #3 peak

    several serious health complications and diseases. The American Heart Association reports that most Americans consume an average of 22 grams of added sugar per day, much higher than the recommended 6 teaspoons for women and 9 teaspoons for men. University

  4. #4 peak

    rates, has been hovering around this level since the late 1990s.⏎- For more than thirty years, the total fertility rate has been below the replacement level (which is currently approximately 2.1 children per woman). This

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. L16:576 excites
  2. L18:1176 suppresses
  3. L15:2300 suppresses
  4. L16:1676 excites
  5. L20:698 suppresses
  6. L19:1454 weakly excites
  7. L19:2203 weakly suppresses
  8. L21:1433 weakly excites
  9. L19:1614 weakly excites
  10. L8:1861 weakly excites
  11. L18:2157 weakly excites
  12. L10:34 weakly excites
  13. L5:1172 weakly excites
  14. L10:2012 weakly excites
  15. L21:343 weakly excites
  16. L13:2054 weakly suppresses
  17. L20:3067 weakly excites
  18. L19:2005 weakly suppresses
  19. L12:944 weakly excites
  20. L10:212 weakly excites
  21. L0:2126 weakly excites
  22. L3:2921 weakly suppresses
  23. L15:856 weakly suppresses
  24. L0:518 weakly suppresses

Feeds later layers

  1. L26:528 strongly suppresses
  2. L27:758 suppresses
  3. L25:646 suppresses measurement words before a value
  4. L23:142 excites
  5. L27:3014 suppresses
  6. L25:998 suppresses
  7. L24:1228 suppresses
  8. L27:2815 weakly suppresses
  9. L24:2531 weakly suppresses
  10. L25:800 weakly excites
  11. L23:745 weakly excites
  12. L23:2296 weakly suppresses
  13. L24:1857 weakly suppresses
  14. L23:791 weakly suppresses
  15. L24:827 weakly suppresses
  16. L25:407 weakly suppresses
  17. L27:735 weakly suppresses
  18. L24:1871 weakly suppresses
  19. L23:2137 weakly suppresses
  20. L24:2362 weakly excites
  21. L23:413 weakly excites
  22. L24:1015 weakly suppresses
  23. L26:2643 weakly suppresses
  24. L24:428 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.

1 values between -26.19 and -25.171 values between -17.01 and -15.991 values between -12.94 and -11.921 values between -11.92 and -10.903 values between -10.90 and -9.885 values between -9.88 and -8.868 values between -8.86 and -7.843 values between -7.84 and -6.823 values between -6.82 and -5.8012 values between -5.80 and -4.7832 values between -4.78 and -3.7652 values between -3.76 and -2.7483 values between -2.74 and -1.72237 values between -1.72 and -0.702789 values between -0.70 and 0.32535 values between 0.32 and 1.3460 values between 1.34 and 2.3533 values between 2.35 and 3.3724 values between 3.37 and 4.399 values between 4.39 and 5.415 values between 5.41 and 6.435 values between 6.43 and 7.451 values between 7.45 and 8.472 values between 8.47 and 9.491 values between 9.49 and 10.511 values between 11.53 and 12.551 values between 13.57 and 14.59offnegativepositiveoften

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. ault
  2. 党组书记
  3. oucher
  4. Effect
  5. ivers
  6. walk
  7. 着眼
  8. uator
  9. ifter
  10. 着手

Suppresses

  1. amount
  2. level
  3. 级别
  4. 金额
  5. depth
  6. levels
  7. status
  8. date
  9. 价格
  10. level