Neuron Explorer

Qwen3-0.6B

'the' right before a year or number

A neuron in layer 0 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 fires on the word 'the' when a year or a number like '1950s' or '20th century' comes next. It seems to expect a date. Turning it up did not produce date-related text in the samples, so the link is mostly from the examples.

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

    The 1992 fieldwork consisted of⏎surface collection and the excavation of five

  2. #2 peak

    The 2025 targets are unlikely to be met, and health service providers will

  3. #3 peak

    the 20th century there was a wave that brought in immigrants from Asia and Africa

  4. #4 peak

    the 1950s and 1960s, and the Free

  5. #5 peak

    the 16-county District averaged 3.89 inches – the second-largest

  6. #6 peak

    the 1890s the Night Riders had done their part, Jim Crow laws

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 have been thinking about lately, and I have been thinking about lately. The answer is that I have been thinking about lately. I have been thinking about lately. I have been thinking about lately. The answer is that I have been thinking

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

    , or qubits, can encode both at the same time. This essentially enables quantum computers to work through multiple scenarios simultaneously, rather than exploring them one after the other. However, these mixed states don’t last long, so the information processing must

  2. #2 peak

    the partial results one below the other, starting with the product of the last digit of the second number. Each partial

  3. #3 peak

    directions; the cold will be severe and the winds will be fierce. The sun will be of no use. Three of these winters will come, one after the other, with no summer in between. But before that, there will have

  4. #4 peak

    from one to the other. One qualification: OED refers only to a Roman vaulter but the

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

None: this is the first layer.

Feeds later layers

  1. L10:756 weakly excites
  2. L3:630 weakly suppresses
  3. L20:341 weakly excites
  4. L5:547 weakly suppresses
  5. L13:381 weakly excites
  6. L8:344 weakly suppresses
  7. L18:1919 weakly excites
  8. L20:412 weakly excites
  9. L12:1501 weakly suppresses
  10. L14:2312 weakly suppresses
  11. L24:1860 weakly excites
  12. L8:2465 weakly excites
  13. L4:415 weakly suppresses
  14. L4:1121 weakly suppresses
  15. L7:1709 weakly suppresses
  16. L14:2157 weakly suppresses
  17. L3:2090 weakly suppresses
  18. L13:2329 weakly suppresses
  19. L4:1670 weakly suppresses
  20. L1:1317 weakly suppresses religious words like faith and christ
  21. L26:2286 weakly suppresses
  22. L15:453 weakly excites
  23. L19:577 weakly suppresses
  24. L21:2182 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 -1.27 and -1.171 values between -0.88 and -0.791 values between -0.69 and -0.593 values between -0.59 and -0.507 values between -0.50 and -0.4010 values between -0.40 and -0.3034 values between -0.30 and -0.20125 values between -0.20 and -0.111022 values between -0.11 and -0.012383 values between -0.01 and 0.09228 values between 0.09 and 0.1842 values between 0.18 and 0.2815 values between 0.28 and 0.387 values between 0.38 and 0.474 values between 0.47 and 0.574 values between 0.57 and 0.675 values between 0.67 and 0.764 values between 0.76 and 0.861 values between 0.86 and 0.962 values between 0.96 and 1.051 values between 1.05 and 1.151 values between 1.25 and 1.353 values between 1.44 and 1.541 values between 1.64 and 1.731 values between 2.22 and 2.312 values between 2.51 and 2.60offnegativepositiveoften

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. ató
  2. assign
  3. Japanese
  4. Japanese
  5. игра
  6. are
  7. ot
  8. сти
  9. seeking
  10. CAP

Suppresses

  1. enario
  2. uard
  3. دة
  4. iture
  5. ospel
  6. %c
  7. ائق
  8. quent
  9. ocache
  10. rances