the letter h starting a word fragment
A neuronOne of thousands of tiny dials inside each layer. It reads the text so far and produces a number, its activation, that nudges what the model writes next. in layerOne step in the stack the text passes through. Qwen3-0.6B has 28 layers, each with 3,072 neurons. 27 of Qwen3-0.6B. Its strongest snippets are very consistent: they mostly peak on the same token. It is featuredA neuron picked for the full treatment: steering outputs and a written explanation. About 3,000 of the 86,000 neurons are featured., so it has steering outputs.
What this neuron does
This neuron fires on a separate 'h' that starts a word, like the 'h' in 'haram', 'hoods' or 'hikers' when the word is split. Turning it up made the model output long runs of quotation marks and line breaks.
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 activationThe number a neuron produces for a token. Large positive means it fired hard; negative means it pushed the other way. was highest. Amber marks positive activation; the outlined tokenA piece of text the model reads at once: often a word, sometimes part of a word or a punctuation mark. is the peak. Hover a token for its strength.
-
- Vegetable ingredients but those which cause intoxication⏎- Non-alcoholic food⏎For halal food guidelines, it is also important to know what foods are considered haram. So, you can avoid them. Here are all that you can consider
-
(not in the fume hood). Furthermore, it is best to keep the work space neat and clean in all laboratory operations, particularly those involving the use of hoods, so that any procedure or experiment can be undertaken
-
’s one she and life is pronominally simple.⏎But things get tricky when she and she or he and he or singular, non-binary they and they rent huts:⏎Sandra and Sally rented a hut on Velika planina. She
-
and several others.They get support from so called punks and football (soccer) hooligans known as⏎"hools" to create riots and violence. From the
-
mountain side or strolling down a wooded path, hiking can feel like a good workout, but how many calories does is really burn?⏎FitDay explains that some hikers can burn up to 500 calories an hour while
-
, and check it every time the hood is used.⏎(For further information, see section 8.C.5 on testing and verification.)⏎Laboratory fume hoods and adjacent work areas should be kept clean and free of debris at all times
SteeringAdding a push along a neuron while the model writes, to see how its output changes. Turning it up or down.
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.
Here is something I have been thinking about lately: Wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear wear
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
-
|ISBN (Print)||9 781742 589985|⏎|Publication status||Published - 2015|<|endoftext|>writing essay shiz⏎Word count: 350.⏎Need to
-
||Web: http://www.tandfonline.com/pricing/journal/VECE20|⏎When requesting a correction, please mention this item's handle: RePEc:taf:jeduce:v:42:y:2
-
LEE|⏎|Place of Publication||Abingdon, Oxon|⏎|Publication status||E-pub ahead of print - Aug 2020|<|endoftext|>10. Rebinding an Old Book Tutorial⏎Got an old book that
-
is common or similar in ideas or experiences. (151)⏎"It leads to light because it stems from the need to see: that which is not obvious...is to be transferred," (154
Connections
Show on mapWhich neuronsOne of thousands of tiny dials inside each layer. It reads the text so far and produces a number, its activation, that nudges what the model writes next. in earlier layersOne step in the stack the text passes through. Qwen3-0.6B has 28 layers, each with 3,072 neurons. feed this one, and which later ones it feeds. Amber links excite, blue links suppress; longer bars are stronger.
Fed by earlier layers
- L24:2478 strongly excites
- L20:110 excites
- L22:1533 suppresses
- L25:36 suppresses
- L19:118 excites
- L18:541 suppresses
- L16:37 excites
- L4:489 excites
- L21:2374 excites
- L23:474 excites
- L20:2984 suppresses
- L20:111 suppresses
- L16:158 excites
- L0:304 excites
- L26:153 suppresses
- L3:516 excites
- L16:139 suppresses
- L26:534 excites
- L16:78 excites
- L16:95 suppresses
- L16:90 suppresses
- L19:189 excites
- L21:571 excites
- L16:0 excites
Feeds later layers
None: this is the last layer.
Activation histogramA chart of how often a neuron takes each activation value.
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.
Logit lensReading which output tokens a neuron pushes toward or away from, straight off its output weights, before the later layers have their say.
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 layersOne step in the stack the text passes through. Qwen3-0.6B has 28 layers, each with 3,072 neurons. instead.
Promotes
- "⏎
- ");⏎
- }⏎
- ";⏎
- ')⏎
- ');⏎
- '⏎
- )⏎
- ")⏎
- ';⏎
Suppresses
- ız
- orses
- ög
- оро
- Wear
- inges
- ourg
- wnd
- ierarchy
- 可想而知