firsthand accounts and testimony
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. 5 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 lights up on words about first-hand accounts, such as "testimonies", "first-person", "firsthand" and "eyewitness". When it was turned up, the model's text did not clearly follow this theme, so the steering results don't add much.
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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War narratives exist and of these, Blight notes, "a mere handful" are first-person accounts by slaves who ran away and freed themselves.Skip to next paragraph⏎Subscribe Today
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slavery is injustice. Frederick Douglass, a black slave previously, witnessed the Inhumane slavery tragedies and therefore able to unfurled his narrative In a first-person perspective and a chronological timeline. More importantly, he was one of the very few
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acht from hundreds of Jews who had fled, but Hartshorne joined the Secret Service shortly afterwards and the accounts he gathered were forgotten - until now. These eyewitness testimonies - published here for the first time, with a foreword by Saul Fried
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interested in modern history, Nazi Germany and the historical experience of the Jews.⏎About Uta GerhardtSee more books from this Author⏎The value of these testimonies lies above all in their detail and immediacy.Read Full Review of The Night
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of the most extensive in terms of the number of publications. All kinds of stories and accounts are told here, from the autobiographical and biographical, the testimonies of individuals and groups of people, to surveys of countries and continents through the lenses
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break. The result is an approach-avoidance conflict whereby the habit becomes more compulsive and the gambler more defensive and increasingly confused and desperate. The personal testimonies of addicted gamblers and their family members have long been witness to the power
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 idea of a single pizza. It is a beautiful, simple concept. But no matter what, a pizza. Okay, what is the solution? This is the pizza. Just a pizza. Alright, I need to solve this problem.
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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on one page (FILE, PAGE SETUP or FILE, PRINTER SETUP in most browsers).⏎Printable version of these instructions<|endoftext|>By now, you’ve probably heard of the replication crisis in science. In summary, many conclusions from experiments done in a
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God?⏎2. Find out what the apocryphal Gospels are and of what value they are.⏎3. Why did not Mary after the Annunciation run to the Jewish priests and tell all about the visit of the angel, and
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recipes or instructions. In many cases, content like photos or videos is shared. Read on to hear more about the more popular options.⏎You have probably already heard of Facebook. It has come a long way since its early days as a directory for
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on www.tab<|endoftext|>Sun Protection 101: SPF, UPF, Sun-Protective Clothing & Sunscreen Explained⏎By now you’ve heard of shirts, hats, and various other items of apparel all designed with UPF treatment
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
- L3:2324 excites
- L3:758 weakly suppresses
- L3:2667 weakly suppresses
- L3:2909 weakly excites
- L2:3042 weakly excites
- L4:1577 weakly suppresses
- L4:23 weakly excites
- L3:2275 weakly suppresses
- L4:3052 weakly excites
- L1:666 weakly suppresses
- L0:56 weakly excites
- L0:312 weakly excites
- L4:2921 weakly excites
- L4:1600 weakly suppresses
- L0:6 weakly suppresses
- L2:75 weakly suppresses
- L3:1426 weakly excites
- L3:626 weakly excites
- L1:1674 weakly excites
- L1:1575 weakly suppresses
- L3:477 weakly suppresses
- L1:2880 weakly suppresses
- L3:1737 weakly excites
- L2:2376 weakly excites
Feeds later layers
- L8:1508 excites
- L9:2877 excites
- L7:479 excites
- L9:1871 weakly excites
- L16:1054 weakly excites
- L6:1547 weakly suppresses
- L7:2429 weakly excites
- L14:275 weakly suppresses
- L6:1559 weakly suppresses
- L18:2865 weakly excites
- L8:2913 weakly excites
- L11:2605 weakly excites
- L9:1747 weakly suppresses
- L12:597 weakly excites
- L16:1341 weakly suppresses
- L8:2692 weakly suppresses
- L11:2043 weakly excites
- L16:2627 weakly excites
- L22:1036 weakly excites
- L7:3009 weakly suppresses
- L10:2355 weakly suppresses
- L22:1838 weakly suppresses
- L22:2053 weakly excites
- L22:1357 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
- testimon
- firsthand
- testimony
- confirmed
- ыта
- orque
- нят
- footage
- 亲身
- ount
Suppresses
- agram
- 放过
- complexes
- wrappers
- selects
- igma
- glGen
- agrams
- rama
- lig