Representation_Embeddings_Tutorial.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This Jupyter Notebook is meant as a supplement for the NeurIPS 2021 [paper](https://proceedings.neurips.cc/paper/2021/file/464074179972cbbd75a39abc6954cd12-Paper.pdf), ***Low-Dimensional Structure in the Space of Language Representations Is Reflected In Brain Responses***. It requires data which can be downloaded from Figshare [here](https://figshare.com/articles/dataset/Language_Representation_Embedding_Data_for_the_paper_Low-Dimensional_Structure_in_the_Space_of_Language_Representations_is_Reflected_in_Brain_Responses_/17141915). Please place this data in the same directory as this notebook. We start by importing relevant libaries in this first cell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import joblib\n",
    "import matplotlib.pyplot as plt\n",
    "from numpy.linalg import norm\n",
    "from numpy import linalg as LA\n",
    "from IPython.display import Image\n",
    "import warnings\n",
    "from pretty_print import pretty_print_mat, pretty_print_mds\n",
    "\n",
    "warnings.simplefilter('ignore')\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In our paper, we generated a set of \"language representation embeddings\" from the transfer properties of each of 100 different language representations. We have provided some initial precomputed values for use with this notebook, as computing these independently is computationally expensive and burdensome to collate efficiently. We start with a matrix containing these transfer properties. The list labels identifies which representation each dimension correpsonds to in this matrix. Please see Appendix A of the paper for a full description of each of these representations. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dimensions of Matrix: (100, 100, 1839)\n",
      "Number of Labels: 100\n"
     ]
    }
   ],
   "source": [
    "full_mat = joblib.load(\"transfer_properties.jbl\")\n",
    "labels = [\"GLOVE\", \"BERT-E\", \"FLAIR\", \"POS\", \"CHUNK\", \"NER\", \"FRAME\", \"GLOVE_NWE\",\n",
    "         \"S1\", \"S2\", \"S3\", \"S4\", \"S5\", \"S6\", \"S7\", \"S8\", \"S9\", \"S10\", \"S11\", \"S12\", #GPT-2 Small\n",
    "        \"M1\", \"M2\", \"M3\", \"M4\", \"M5\", \"M6\", \"M7\", \"M8\", \"M9\", \"M10\", \"M11\", \"M12\",  #GPT-2 Medium\n",
    "        \"M13\", \"M14\", \"M15\", \"M16\", \"M17\", \"M18\", \"M19\", \"M20\", \"M21\", \"M22\", \"M23\", \"M24\",\n",
    "        \"XL1\", \"XL2\", \"XL3\", \"XL4\", \"XL5\", \"XL6\", \"XL7\", \"XL8\", \"XL9\", #Transformer-XL\n",
    "        \"XL10\", \"XL11\", \"XL12\", \"XL13\", \"XL14\", \"XL15\", \"XL16\", \"XL17\", \"XL18\",\n",
    "        \"B0\", \"B1\", \"B2\", \"B3\", \"B4\", \"B5\", \"B6\", \"B7\", \"B8\", \"B9\", \"B10\", \"B11\", \"B12\", #BERT\n",
    "         \"A0\", \"A1\", \"A2\", \"A3\", \"A4\", \"A5\", \"A6\", \"A7\", \"A8\", \"A9\", \"A10\", \"A11\", \"A12\", #ALBERT\n",
    "        \"MTEZ1\", \"MTEZ2\", \"MTEZ3\", \"MTEZ4\", \"MTEZ5\", \"MTEZ6\", # English -> Chinese\n",
    "        \"MTEG1\", \"MTEG2\", \"MTEG3\", \"MTEG4\", \"MTEG5\", \"MTEG6\", # English -> German \n",
    "        ]\n",
    "num_tasks = len(labels)\n",
    "print(\"Dimensions of Matrix: \" + str(full_mat.shape) + \"\\nNumber of Labels: \" + str(num_tasks))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Element $(i,j)$ of the matrix ```full_mat``` holds a 1839-element vector of mean squared error values of the performance of using the latent space for representation $i$ to decode to representation $j$ on a natural language test set. This matrix will be used to generate our pairwise tournament matrix, which will subequently be used to generate our language representation embeddings. Let's generate the tournament matrix now. This may take a few minutes. If you would like to skip this step, you may do so by uncommenting the cell that loads the tournament matrix directly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generating Pairwise Matrix for representation: GLOVE\n",
      "Generating Pairwise Matrix for representation: BERT-E\n",
      "Generating Pairwise Matrix for representation: FLAIR\n",
      "Generating Pairwise Matrix for representation: POS\n",
      "Generating Pairwise Matrix for representation: CHUNK\n",
      "Generating Pairwise Matrix for representation: NER\n",
      "Generating Pairwise Matrix for representation: FRAME\n",
      "Generating Pairwise Matrix for representation: GLOVE_NWE\n",
      "Generating Pairwise Matrix for representation: S1\n",
      "Generating Pairwise Matrix for representation: S2\n",
      "Generating Pairwise Matrix for representation: S3\n",
      "Generating Pairwise Matrix for representation: S4\n",
      "Generating Pairwise Matrix for representation: S5\n",
      "Generating Pairwise Matrix for representation: S6\n",
      "Generating Pairwise Matrix for representation: S7\n",
      "Generating Pairwise Matrix for representation: S8\n",
      "Generating Pairwise Matrix for representation: S9\n",
      "Generating Pairwise Matrix for representation: S10\n",
      "Generating Pairwise Matrix for representation: S11\n",
      "Generating Pairwise Matrix for representation: S12\n",
      "Generating Pairwise Matrix for representation: M1\n",
      "Generating Pairwise Matrix for representation: M2\n",
      "Generating Pairwise Matrix for representation: M3\n",
      "Generating Pairwise Matrix for representation: M4\n",
      "Generating Pairwise Matrix for representation: M5\n",
      "Generating Pairwise Matrix for representation: M6\n",
      "Generating Pairwise Matrix for representation: M7\n",
      "Generating Pairwise Matrix for representation: M8\n",
      "Generating Pairwise Matrix for representation: M9\n",
      "Generating Pairwise Matrix for representation: M10\n",
      "Generating Pairwise Matrix for representation: M11\n",
      "Generating Pairwise Matrix for representation: M12\n",
      "Generating Pairwise Matrix for representation: M13\n",
      "Generating Pairwise Matrix for representation: M14\n",
      "Generating Pairwise Matrix for representation: M15\n",
      "Generating Pairwise Matrix for representation: M16\n",
      "Generating Pairwise Matrix for representation: M17\n",
      "Generating Pairwise Matrix for representation: M18\n",
      "Generating Pairwise Matrix for representation: M19\n",
      "Generating Pairwise Matrix for representation: M20\n",
      "Generating Pairwise Matrix for representation: M21\n",
      "Generating Pairwise Matrix for representation: M22\n",
      "Generating Pairwise Matrix for representation: M23\n",
      "Generating Pairwise Matrix for representation: M24\n",
      "Generating Pairwise Matrix for representation: XL1\n",
      "Generating Pairwise Matrix for representation: XL2\n",
      "Generating Pairwise Matrix for representation: XL3\n",
      "Generating Pairwise Matrix for representation: XL4\n",
      "Generating Pairwise Matrix for representation: XL5\n",
      "Generating Pairwise Matrix for representation: XL6\n",
      "Generating Pairwise Matrix for representation: XL7\n",
      "Generating Pairwise Matrix for representation: XL8\n",
      "Generating Pairwise Matrix for representation: XL9\n",
      "Generating Pairwise Matrix for representation: XL10\n",
      "Generating Pairwise Matrix for representation: XL11\n",
      "Generating Pairwise Matrix for representation: XL12\n",
      "Generating Pairwise Matrix for representation: XL13\n",
      "Generating Pairwise Matrix for representation: XL14\n",
      "Generating Pairwise Matrix for representation: XL15\n",
      "Generating Pairwise Matrix for representation: XL16\n",
      "Generating Pairwise Matrix for representation: XL17\n",
      "Generating Pairwise Matrix for representation: XL18\n",
      "Generating Pairwise Matrix for representation: B0\n",
      "Generating Pairwise Matrix for representation: B1\n",
      "Generating Pairwise Matrix for representation: B2\n",
      "Generating Pairwise Matrix for representation: B3\n",
      "Generating Pairwise Matrix for representation: B4\n",
      "Generating Pairwise Matrix for representation: B5\n",
      "Generating Pairwise Matrix for representation: B6\n",
      "Generating Pairwise Matrix for representation: B7\n",
      "Generating Pairwise Matrix for representation: B8\n",
      "Generating Pairwise Matrix for representation: B9\n",
      "Generating Pairwise Matrix for representation: B10\n",
      "Generating Pairwise Matrix for representation: B11\n",
      "Generating Pairwise Matrix for representation: B12\n",
      "Generating Pairwise Matrix for representation: A0\n",
      "Generating Pairwise Matrix for representation: A1\n",
      "Generating Pairwise Matrix for representation: A2\n",
      "Generating Pairwise Matrix for representation: A3\n",
      "Generating Pairwise Matrix for representation: A4\n",
      "Generating Pairwise Matrix for representation: A5\n",
      "Generating Pairwise Matrix for representation: A6\n",
      "Generating Pairwise Matrix for representation: A7\n",
      "Generating Pairwise Matrix for representation: A8\n",
      "Generating Pairwise Matrix for representation: A9\n",
      "Generating Pairwise Matrix for representation: A10\n",
      "Generating Pairwise Matrix for representation: A11\n",
      "Generating Pairwise Matrix for representation: A12\n",
      "Generating Pairwise Matrix for representation: MTEZ1\n",
      "Generating Pairwise Matrix for representation: MTEZ2\n",
      "Generating Pairwise Matrix for representation: MTEZ3\n",
      "Generating Pairwise Matrix for representation: MTEZ4\n",
      "Generating Pairwise Matrix for representation: MTEZ5\n",
      "Generating Pairwise Matrix for representation: MTEZ6\n",
      "Generating Pairwise Matrix for representation: MTEG1\n",
      "Generating Pairwise Matrix for representation: MTEG2\n",
      "Generating Pairwise Matrix for representation: MTEG3\n",
      "Generating Pairwise Matrix for representation: MTEG4\n",
      "Generating Pairwise Matrix for representation: MTEG5\n",
      "Generating Pairwise Matrix for representation: MTEG6\n"
     ]
    }
   ],
   "source": [
    "transferability = [] # will contain our pairwise matrices\n",
    "num_tasks = len(labels)\n",
    "for t in range(num_tasks):\n",
    "    print(\"Generating Pairwise Matrix for representation: \" + labels[t])\n",
    "    pairwise = np.zeros((num_tasks,num_tasks)) # Initialize pairwise matrix\n",
    "    for s_i in range(num_tasks):\n",
    "        for s_j in range(num_tasks):\n",
    "            if s_i != s_j:\n",
    "                better = 0\n",
    "                worse = 0\n",
    "                for ei, k in enumerate(full_mat[t][s_i]):\n",
    "                    if full_mat[t][s_i][ei] > full_mat[t][s_j][ei]: # Compare performance of decoders s_i & s_j\n",
    "                        better += 1\n",
    "                    else:\n",
    "                        worse += 1\n",
    "                pairwise[s_i][s_j] = better / (worse + 0.0001) # Edge case in case worse == 0\n",
    "                if t == s_j: # Zero out main diagonal for affinity computation so it doesn't dominate\n",
    "                    pairwise[s_i][s_j] = 0.0001\n",
    "    transferability.append(pairwise)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#transferability = joblib.load(\"transferability.jbl\") # Uncomment to load tournament matrix directly."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our next step is to convert the pairwise matrix to representation embeddings. We do this by using the principal eigenvector of the pairwise matrices to estimate a total order over each, effectively ranking how well each representation transfers to each other representation. We also perform normalization steps to ensure each row sums to (approximately) 1 and the main diagonal is consistent across representations. We say \"approximately\" because fixing the main diagonal permits the sum across rows to slightly deviate from 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "affinity = np.zeros((num_tasks,num_tasks))\n",
    "for ei, i in enumerate(transferability):\n",
    "    pairs = i.T\n",
    "    norms = norm(pairs, axis=0, ord=1)\n",
    "    normed_pairwise = np.zeros((num_tasks,num_tasks))\n",
    "    for i in range(len(pairs)):\n",
    "        normed_pairwise[i] = pairs[i] / norms[i] # Normalize the pairwise matrix\n",
    "    S, U = LA.eig(normed_pairwise) # Compute principal eigenvectors\n",
    "    stationary = np.array(U[:, np.where(np.abs(S - 1.) < 1e-8)[0][0]].flat) # Remove imaginary components\n",
    "    affinity[ei] = stationary / np.sum(stationary) # Renormalize\n",
    "for ei in range(len(affinity)):\n",
    "    affinity[ei][ei] = 0.1 # Re-add main diagonal"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At this point, we have the language representation embedding matrix stored in ```affinity```, so lets see what it looks like! Here we pretty print the matrix as in the paper for easy visualization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 7200x8640 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pretty_print_mat(affinity)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see many interesting features here, many of which are described in the paper. Let's see what happens if we perform dimensionality reduction on this embedding space. Here we use weighted MDS, normalizing so that each feature space has equal effect on the resultant space."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "multiplicands = [72] * 8 + [6] * 12 + [3] * 24 + [4] * 18 + [6] * 13 + [6] * 13 + [12] * 6 + [12] * 6 \n",
    "new_rel = []\n",
    "for ei, i in enumerate(affinity):\n",
    "    new_rel += multiplicands[ei] * [i]\n",
    "new_rel = np.array(new_rel)\n",
    "corrdist = 1 - np.corrcoef(new_rel)\n",
    "\n",
    "# Perform\n",
    "\n",
    "n = corrdist.shape[0]\n",
    "C = np.eye(n)- np.ones(n)/n # centering matrix\n",
    "B = -0.5 * C.dot(corrdist).dot(C)\n",
    "\n",
    "l1, q1 = np.linalg.eigh(B)\n",
    "\n",
    "q1[:,-1] *= np.sign(q1[12,-1]) # make sure sign is consistent\n",
    "q1[:,-2] *= np.sign(q1[12,-2]) # make sure sign is consistent\n",
    "q1[:,-3] *= np.sign(q1[12,-3]) # make sure sign is consistent\n",
    "final_q1 = []\n",
    "acc = 0\n",
    "for i in multiplicands: #Extract low-d points for each representation\n",
    "    final_q1.append(q1[acc])\n",
    "    acc += i\n",
    "q1 = np.array(final_q1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now have everything we need to pretty print our representation embedding structure, but first let's check if the structure is low-dimensional by looking at the eigenvectors of MDS analysis in a quick skree plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fec8c85feb8>]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_20 = list(l1[-20:])\n",
    "top_20.reverse()\n",
    "plt.title(\"Skree plot\")\n",
    "plt.xlabel(\"Dimension\")\n",
    "plt.ylabel(\"Percent Variance explained\")\n",
    "plt.plot(range(len(l1[-16:])), top_20[:16]/l1.sum(), lw=18) # Normalize and plot eigenvalues"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looks pretty low-dimensional! So let's finish up by actually plotting this low-dimensional mapping of the language representation embedding space. Note that this uses the ```imagemagick``` writer to generate this final gif."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing gif...\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<img src=\"mds_lre.gif\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pretty_print_mds(q1, l1, fname=\"mds_lre.gif\", writer=\"imagemagick\")\n",
    "\n",
    "Image(url=\"mds_lre.gif\") "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see a lot of structure here, especially along the principal axis and in the clustering of related representations such as word embedding spaces and unidirectional language models. This concludes Part 1 of the demonstration code for our paper. We are preparingto release Part 2, which covers the encoding models and along with all the representation data, as part of an upcoming compendium of encoding model results. Stay tuned!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you have questions or comments about this notebook, please send them to rjantonello AT utexas DOT edu."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}