% source: experiments/summaries/tier1_taskvector_eb5d091bf5ed/results.json
\begin{tabular}{llcccccc}
\toprule
Model & task & zero-shot & few-shot & best layer & vector added (zero-shot) & random vector & few-shot minus direction \\
\midrule
llama3b (28 layers, $d=3072$) & antonym & 0.19 & 0.88 & L14 & 0.84 & 0.06 & 0.91 \\
llama3b (28 layers, $d=3072$) & capital & 0.00 & 1.00 & L14 & 1.00 & 0.00 & 1.00 \\
llama3b (28 layers, $d=3072$) & morph & 0.00 & 0.38 & L2 & 0.00 & 0.00 & 0.33 \\
llama3b (28 layers, $d=3072$) & addthree & 0.00 & 1.00 & L14 & 0.77 & 0.00 & 1.00 \\
qwen3b (36 layers, $d=2048$) & antonym & 0.28 & 0.94 & L25 & 0.88 & 0.06 & 0.97 \\
qwen3b (36 layers, $d=2048$) & capital & 0.00 & 1.00 & L25 & 0.82 & 0.00 & 1.00 \\
qwen3b (36 layers, $d=2048$) & morph & 0.00 & 0.40 & L2 & 0.00 & 0.00 & 0.40 \\
qwen3b (36 layers, $d=2048$) & addthree & 0.00 & 1.00 & L2 & 0.00 & 0.00 & 1.00 \\
qwen7b (28 layers, $d=3584$) & antonym & 0.19 & 0.97 & L16 & 0.91 & 0.16 & 0.97 \\
qwen7b (28 layers, $d=3584$) & capital & 0.23 & 1.00 & L11 & 1.00 & 0.00 & 1.00 \\
qwen7b (28 layers, $d=3584$) & morph & 0.00 & 0.53 & L14 & 0.03 & 0.00 & 0.53 \\
qwen7b (28 layers, $d=3584$) & addthree & 0.00 & 1.00 & L2 & 0.00 & 0.00 & 1.00 \\
\bottomrule
\end{tabular}