"of" in "Battle of"

What this neuron does

This neuron fires on the word "of" in battle names like "Battle of Midway" or "Battle of Gettysburg". Turning it up did not give a clear theme, and the output drifted into lists of numbers or unrelated sentences.

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

   ), attaching the choline groups to the tips of the “branches”. The<|endoftext|>This month marks 50 years since the Battle of Ia Drang Valley, the first major fight between the U.S. Army

2. #2 peak

   6 min 1 sec Sound:Yes⏎German campaign during The Battle of Crete. Troops establish camps in Crete. They open tents and light

3. #3 peak

   US had stopped the Japanese ships from supporting an invasion of Port Moresby, New Guinea, and the proposed air assault on Australia.⏎Next came the great Battle of Midway in June, again between United States and Japanese ships. This time US

4. #4 peak

   of this aircraft", describes Quick. "The Canadians used it to great effect both during Normandy during the softening up and post-landings for the Battle of Caen.”⏎The aircraft was actually discovered in the United States after the war and

5. #5 peak

   from avenue parking|⏎The North Carolina Monument is a North Carolina memorial of the American Civil War commemorating the 32 Carolina regiments in action at the Battle of Gettysburg. The monument is a public artwork by American sculptor G

6. #6 peak

   of Donauworth in Bavaria following the swift but costly Battle of Schellenberg. When the French and Bavarians avoided further battle or negotiation,

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

   Use ANOVA – single factor in Excel’s Data Analysis ToolPak to test whether there is a relationship between the two variables. Use an alpha of 10% Show your hypotheses, ANOVA output, and decision – referring to

2. #2 peak

   earnings up by more than $400,000 compared to an average teacher. The symmetry of the calculations prevail: A poor teacher at the 16th percentile (100-84) produces a negative

3. #3 peak

   ) you will obtain your answer:⏎F'(x) = 2x√(1+x6)⏎Comment. There is no need to integrate and then differentiate by x

4. #4 peak

   of capital, or they will invest elsewhere.⏎The following is the WACC calculation formula:⏎WACC = E/V × Re + D/V × Rd × (1 - Tc)⏎Re = cost of equity⏎Rd = cost of debt

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.