gemstones and jewelry words
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. 21 of Qwen3-0.6B. Its strongest snippets are fairly consistent: several of them 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
It lights up on words about gems and precious stones, like 'gemstone', 'precious stones' and 'diamond'. Turning it up made the model drift toward jewelry, gold rings and carats.
Written by Claude from this neuron's activations and steering outputs. Confidence: high. 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.
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they can only be found in certain parts of the world. Their shortcomings make them valuable in the market.⏎The mineral color must be attractive for the gemstone to look beautiful. Gemstones need to be durable, which means they have
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of gemology tools. Make sure to record your test results along the way, when you have finished you will need to evaluate your results and search out the possible gemstones that would be applicable.⏎Color: A stone needs to be examined in
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will have to be able to identify the stone first and its treatments. General Observation along with the aide of magnification is the first step to take in identifying a gemstone, followed by instrumental testing which requires the use of tools such as the refr
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and girdle of centerpiece diamonds. The uniform and easily matched size of this stone makes it the ideal stone for use in pave and other channel settings. Unlike round diamonds, the shape of the baguette allows them to be set side by
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igma rotors (estimated £6,000-8,000) and a fine veri-gold split seed-pearl, diamond and ruby embellished bird box (estimated £6
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in a laboratory.⏎Gemstones have the same physical properties and chemical composition as natural gemstones. Gemstones are usually measured by their weight in carats.⏎A gemstone is considered as beautiful, rare, and durable. Its natural crystal form is
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 house in the state of the US, and I need to understand the pressure of the US government for the immediate (preference) and a certain (long-term) in the short and the in the long terms. The
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
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: 3⏎- Word count: 503⏎- Category: Healthy eating⏎A limited time offer! Get a custom sample essay written according to your requirements urgent 3h delivery guaranteedOrder Now⏎When healthy eating is brought
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stations. When we get too hungry, we are more likely to overeat or choose unhealthy options. Reduce the chance of this happening with the following tips:⏎- Bring your coffee from home; to avoid temptation in cafés or shops e.g.
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sun. Wear sunglasses, a hat and a shirt, especially in the middle of the day (even on overcast days).⏎Eat
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from la chica moderna to the factory girl dressed in purple shirt and black skirt—the colors of the anarchist—women’s mobilization
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
- L4:2439 excites
- L18:403 suppresses
- L20:1266 suppresses
- L3:1303 weakly suppresses
- L6:2892 weakly suppresses
- L12:1330 weakly suppresses
- L9:427 weakly suppresses
- L3:999 weakly suppresses
- L11:1086 weakly suppresses
- L14:1699 weakly excites
- L18:1114 weakly suppresses
- L3:342 weakly excites
- L11:2 weakly suppresses unclear: blank before a year or number
- L6:1837 weakly suppresses
- L6:1908 weakly suppresses
- L10:253 weakly excites
- L20:1477 weakly excites
- L20:410 weakly excites
- L17:2417 weakly excites
- L7:2152 weakly excites
- L3:50 weakly excites
- L17:2786 weakly excites
- L17:1293 weakly suppresses
- L3:1156 weakly suppresses
Feeds later layers
- L25:2577 excites
- L22:1544 excites
- L24:2866 weakly excites
- L24:2828 weakly excites
- L25:2551 weakly excites
- L22:2537 weakly excites
- L22:657 weakly suppresses
- L25:1811 weakly suppresses
- L23:1725 weakly suppresses
- L22:932 weakly excites
- L22:580 weakly suppresses the third digit of years like 201x or 202x
- L24:2058 weakly excites
- L24:1496 weakly suppresses
- L26:2083 weakly excites
- L23:14 weakly excites the 9 in years starting 19
- L27:2515 weakly excites
- L24:2399 weakly excites
- L23:1205 weakly excites
- L25:1226 weakly excites
- L22:2620 weakly excites
- L26:1764 weakly excites
- L27:3005 weakly excites
- L24:1449 weakly suppresses
- L24:2947 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
- jewelry
- 首饰
- 珠宝
- gem
- 项链
- 金价
- Gem
- Jewel
- Jew
- gems
Suppresses
- 饺子
- aan
- '</
- xdc
- afc
- 厕
- <Service
- 苫
- 空军
- urv