the word 'National' in institution names

What this neuron does

This neuron fires most on the word 'National' when it begins a name like 'National Cancer Institute' or 'National Library of Medicine'. It also fires on a few other tokens in code and maths. When it was turned up, the text became some list of loose fragments. When it was turned down, it filled with brackets and the letters A, B, C.

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 activation was highest. Amber marks positive activation; the outlined token is the peak. Hover a token for its strength.

1. #1 peak

   healthcare accessibility. Formulation of regional guidelines may help reduce AOM burden.⏎- acute otitis media⏎Statistics from Altmetric.com⏎If you wish to reuse any or all of this article please use the link below which will take you to the

2. #2 peak

   a matrix⏎Find nth maximum⏎Matlab Basics II - Create a vector with a repeated entry⏎Create sequnce 1 4 9 16 25.........⏎Basics:

3. #3 peak

   , the satellite view is shown instead.⏎Latitude: 52.5162 / 52°30'58"N⏎Longitude: -3.0604 / 3°3'37"W⏎

4. #4 peak

   cancer vaccines. But work also is ongoing to harness the immune system’s power to fight prostate, breast and kidney cancers and melanoma.⏎This fact sheet from the National Cancer Institute explains the subject thoroughly. It also lists a number of the clinical trials

5. #5 peak

   dot = -10*y %compute rhs⏎The function needs to be tested. To do this, issue the command⏎q = rhs(0.2,

6. #6 peak

   are getting too much of something? Dr.⏎Bailey says that every nutrient has different red flags, but the Office of Dietary Supplements, which is connected to the National Institute of Health, has some pretty amazing fact sheets that lay everything out in great

Steering

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.

Most negative on

Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.

1. #1 peak

   next visit.<|endoftext|>Sometimes it makes sense for a function to return multiple things. In such cases, it's common to just return them in a tuple: "return (count, new_obj)".⏎Sometimes you might want to return objects of different

2. #2 peak

   )^2 in such a way that its x-coordinate is increasing at a constant rate of 2 units per second. How fast is the particle's distance to the point (-2, 0) changing at the moment that the particle is at the

3. #3 peak

   PC is a constant.⏎Can you decide whether two lines are perpendicular or not? Can you⏎do this without drawing them?⏎The centre of the larger circle is at the midpoint of

4. #4 peak

   like with tangent. However, these asymptotes occur whenever the⏎The cotangent parent graph repeats every pi units. Its domain is based on its vertical asymptotes: The first one comes at 0 and then

Which neurons in earlier layers feed this one, and which later ones it feeds. Amber links excite, blue links suppress; longer bars are stronger.

Activation histogram

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 lens

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 layers instead.