unclear: content words in how-to phrases
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. 13 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. 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 is unclear. It fires on a scattering of words inside practical how-to sentences, such as 'keep the end in mind', 'continuous harvest' or 'wear shockproof gloves', with no single theme. Turning it up or down gave repetitive or unrelated text.
Written by Claude from this neuron's activations and steering outputs. Confidence: low. 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.
-
is easier to work toward a goal that seems more easily achieved. It is difficult to work towards a goal, week after week, if we don’t keep the end in mind. For example, a teen working to save $50 to have
-
75°F. Successive Sowings: Every 3 weeks until 10 to 12 weeks before your average first fall frost date for continuous harvest. Mild Climates: Sow in late fall through winter for cool–season
-
is?⏎You can access the Internet Information Services (IIS) Manager by selecting Control Panel > Administrative Tools. Select Add Website from the Connections panel, expand your host tree, right-click on Sites, and select the location of
-
helmet and bent downwards to form a hook which secured the ball of clay and candle to it. The Cornish miners would take a good supply of candles underground to last the shift.<|endoftext|>Hydrology-related problems associated with North Carolina 's major
-
pump, bail bucket if the craft is not a self bailer, a whistle and bow/stern line. It is also a good idea to be prepared with rescue ropes, throw lines, a knife and carabineers.⏎Dress properly
-
will help children get into a routine and adjust to the demands of the school day.⏎Another way parents can help their children prepare for back to school is by reviewing academic skills over the summer. This can include things like
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: I will not be here. I will not be here. I will not be here. I will not be here. I will not be here. I will not be here. I will not be here. I will not be here.
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
-
.⏎Why are Linux services called daemons?⏎The term was coined by the programmers of the MIT Project MAC. they took the name of maxwell's demon, an imaginary being from a thought experiment that constantly works in the background, sorting molecules.
-
actually live there (which is also another name for the God of the War). This name is strikingly similar to the south-west Khulian name for the God of Battle Rage, Oiden. Perhaps some ancient link can be inferred.⏎The
-
halosporins, the choice depending upon the patient’s health condition, medical history and severity of the disease.⏎However, Klebsiella possesses a chromosomal class A beta-lactamase giving it resistance to ampicillin. Many
-
it to screen, which is of course not the goal. So you need to redirect the output.⏎diff -u -p source.cpp.orig source.cpp > ~/patch.diff⏎~/patch.diff is here an example and you can create the file where
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
- L12:55 excites
- L11:1044 suppresses
- L10:1025 excites
- L12:1718 excites
- L12:1634 suppresses
- L10:1297 excites
- L11:1525 excites
- L12:1577 excites
- L12:1869 suppresses
- L10:1469 suppresses
- L11:1988 suppresses
- L12:1801 excites
- L12:1257 suppresses
- L12:694 suppresses
- L10:2210 excites
- L10:867 weakly suppresses
- L12:2655 weakly excites
- L12:587 weakly excites
- L11:747 weakly suppresses
- L12:1986 weakly excites
- L12:2954 weakly excites
- L11:96 weakly excites
- L12:1399 weakly suppresses
- L9:1395 weakly suppresses
Feeds later layers
- L18:1427 excites
- L18:2623 excites
- L17:1528 suppresses
- L14:2058 suppresses
- L16:2965 excites
- L15:2096 excites
- L16:3069 excites
- L16:1970 excites
- L15:2562 excites
- L16:2472 suppresses
- L16:810 excites
- L14:2796 excites
- L14:257 excites
- L22:2784 excites
- L14:2637 weakly excites
- L16:2431 weakly suppresses
- L17:1938 weakly excites
- L15:2918 weakly suppresses
- L14:1413 weakly suppresses
- L14:576 weakly excites
- L18:2019 weakly suppresses
- L14:2168 weakly suppresses
- L14:2526 weakly excites
- L22:192 weakly suppresses
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
- 未来的
- pcl
- psz
- .Spec
- LOPT
- Future
- →req
- Needs
- pc
- chemes
Suppresses
- LAB
- ved
- iphery
- ela
- _normalize
- ika
- 激活
- 階段
- 乖
- 窈