"the" in "on the other hand"
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 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 lights up on the word "the" in the phrase "on the other hand", the kind used to set up a contrast between two ideas. Turning it up made the model's writing drift into loops and odd phrasing, not contrast sentences, so the steering results don't clearly show what it does.
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.
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Hard work can lead to a deep sense of accomplishment and mastery, but can also be time-consuming and may not be the most effective approach. Smart work, on the other hand, can save time and increase productivity, but may lead to a lack
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to the environment, due to the emissions that come as a result of its use.⏎The Good News⏎Vaperma’s membrane-based Siftek, on the other hand, is expected to reduce emissions significantly. And in addition to this,
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are poor, with 23 percent living “in misery, on one meal a day and not a very nourishing meal at that.” The rich, on the other hand, are very rich indeed. “There is no inheritance tax, and
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pure glucose as the comparison point.⏎Foods with a high GI, such as white bread and white rice, cause a rapid increase in blood sugar levels. On the other side, foods with low GI, such as whole grains and sweet potato,
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complex problems at speeds that were previously unimaginable. Traditional computers rely on bits, which can represent either a 0 or a 1. Quantum computers, on the other hand, use quantum bits or qubits, which can exist in multiple<|endoftext|>
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as patents and trademarks. These assets are categorized as current or non-current, depending on their liquidity and expected conversion into cash within a year.⏎Liabilities, on the other hand, encompass the company's financial obligations and debts. These can include loans
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: the middle between the top and the above the top (the top above the top above the top... and above the top above the top above the top above the top... between the top and the above the top... above the top... above
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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this portion of the course, via discussions, you will be asked to critically think and debate varying interpretations of the empirical evidence in relation to the science being brought to your attention<|endoftext|>Economics– Important Questions Bank for Rajasthan Board HSC 20
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partition alignment is something new to me. I have heard of it before but I have never used nor understood it’s meaning until a colleague at work brought it to my attention for a customer we are trying to help out.⏎The information in this post
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of Suleiman the Magnificent. However, after continued unrest in the interior, the Turks evacuated the region in 1630, leaving it in the hands of the Shiite Zaidi imams of Sanaa. Muhammad Ali
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00 tons per year.⏎Reusable, Erasable Paper⏎Even with all the digital technology we have at our fingertips, paper is one of those things we seem to inevitably waste. It seems
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
- L18:1375 strongly suppresses
- L18:483 strongly excites
- L18:2356 strongly excites
- L19:2820 strongly suppresses
- L17:1434 excites
- L10:262 suppresses
- L19:939 suppresses
- L16:1807 suppresses 'in' after a motion verb
- L19:1581 suppresses
- L10:1603 excites
- L18:2677 excites
- L16:2120 suppresses
- L4:1966 suppresses
- L15:853 suppresses
- L5:490 excites
- L14:1389 suppresses
- L14:1848 excites
- L20:2201 excites 'the' in location phrases like 'at the end'
- L18:866 suppresses
- L3:311 suppresses
- L20:2873 suppresses
- L17:646 suppresses
- L17:2147 excites
- L17:303 suppresses
Feeds later layers
- L27:1363 strongly suppresses
- L26:814 strongly suppresses
- L23:1437 suppresses
- L25:1921 suppresses
- L25:1107 suppresses
- L25:925 suppresses
- L23:476 suppresses
- L26:585 suppresses
- L22:1026 suppresses
- L25:1660 suppresses
- L23:2829 suppresses
- L25:1865 suppresses 'in' in 'keep in mind'
- L22:938 suppresses
- L24:1796 suppresses
- L22:1110 suppresses
- L26:1080 suppresses
- L23:512 suppresses
- L22:2577 suppresses
- L27:906 suppresses
- L22:885 suppresses
- L23:353 weakly suppresses
- L26:1662 weakly suppresses
- L27:1179 weakly suppresses
- L27:1269 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
- une
- aturing
- UNE
- ework
- 팅
- -Man
- ă
- sorts
- lasses
- сложн
Suppresses
- 身上
- 里面
- 面前
- 那里
- 之中
- 裡面
- 活动中
- 环境中
- 其中
- 人群中