'that' after a finding or surprise verb
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. 6 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 the word 'that' when it introduces a clause after a verb of finding, learning or evidence, as in 'you may be shocked to learn that' or 'it's not surprising that'. Its opposite side is on words of belief, such as 'believed', 'believe' and 'sure of'. Turning it up did not give a clear theme in the sample text.
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.
-
ZZs like Aspilche. We asked her about how she’s managing after the first year of knowing she has Alpha 1.⏎How did you discover that you had it?⏎For about two years prior to this confirmation, I was diagnosed
-
build-up. The third and most important strategy is HEPA air filtration.⏎HEPA Air Purification⏎A HEPA air<|endoftext|>You may be shocked to learn that in England alone, people take 3 billion car trips for less
-
Ste. Genevieve Plant has joined it. It’s not surprising that the list hasn’t changed much – major industrial plants like these aren’t built every
-
with a broader body of work indicating a profound impact of climate change on precisely these sorts of events.”⏎The new normal⏎“This analysis confirms what we already know – that we are suffering an extreme weather event caused by climate change,” says Gareth Redmond
-
much and in what ways we trust AI in the workplace, how we view the risks and benefits, and what is expected for AI to be trusted. We find that only one in two employees are willing to trust AI at work. Their attitude depends
-
their fat cells detected more insulin resistance in the women who ate the high-GI diet. It’s hardly surprising, then, that several large population studies have shown that people who eat diets filled with low-fibre
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 have a new problem, the same level of difficulty, the same level of difficulty, and so on, if there is an extra problem, the same level of difficulty, so, the same level of difficulty, so, the same level
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
-
It is generally believed that profit earning is the primary objective of business. However, as per modern thinking
-
anyone how long the interruption would last. But with her intimate knowledge of volcanic ash, and a good idea of what it does to jet engines, she was sure of one thing: “I wouldn’t want to get on a plane right now.”⏎
-
indicating that the head bearing Pharaoh Khafre's likeness could have been carved out of a larger lion's head. These points led some researchers to believe that the Sphinx could have been built much earlier by a more ancient civilization, thus
-
intuitive. I certainly can’t claim to be a perfect listener. All I can say is that I’m learning and getting better.⏎We all know, of course, that listening and hearing are required in order to understand the heart of what the “
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
- L5:1807 suppresses
- L4:2495 suppresses
- L5:2364 suppresses
- L4:1382 excites
- L4:3054 excites
- L4:730 weakly excites
- L4:2893 weakly excites the word 'means' after a subject
- L4:2451 weakly excites
- L2:775 weakly suppresses
- L0:101 weakly suppresses
- L1:420 weakly excites
- L4:793 weakly suppresses
- L2:2648 weakly suppresses
- L5:3034 weakly suppresses
- L4:2692 weakly excites
- L5:740 weakly excites
- L3:1356 weakly excites
- L2:1293 weakly excites
- L0:623 weakly suppresses
- L4:2135 weakly suppresses
- L0:2607 weakly suppresses
- L5:2134 weakly suppresses
- L5:1979 weakly excites
- L3:2061 weakly excites
Feeds later layers
- L7:751 strongly suppresses
- L8:132 excites
- L14:655 excites
- L8:615 excites
- L13:3 suppresses
- L15:1702 excites
- L7:7 suppresses
- L7:135 excites 'of' after 'issue' in citations
- L12:896 excites
- L9:330 excites gap where a number was removed
- L14:830 excites
- L15:27 excites
- L18:867 excites
- L15:1028 excites
- L17:1282 excites
- L17:2213 excites
- L8:361 excites
- L16:1303 weakly excites 'that' starting a clause after a noun
- L16:1219 weakly excites
- L16:797 weakly suppresses
- L14:531 weakly suppresses
- L17:2426 weakly suppresses 'that' after nouns of belief or fact
- L21:2876 weakly suppresses
- L18:509 weakly excites
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
- ński
- 过去的
- يح
- .handlers
- _LANG
- listened
- anie
- 师事务所
- anje
- Actual
Suppresses
- cline
- fr
- CC
- ib
- なく
- sworth
- im
- lining
- /se
- 使我