diff --git a/lit_nlp/client/modules/lm_salience_module.css b/lit_nlp/client/modules/lm_salience_module.css
index 22192870..49a0c84b 100644
--- a/lit_nlp/client/modules/lm_salience_module.css
+++ b/lit_nlp/client/modules/lm_salience_module.css
@@ -7,10 +7,6 @@
   padding: 8px;
 }
 
-.chip-container-dense {
-  padding: 8px;
-}
-
 .pre-wrap {
   white-space: pre-wrap;
 }
@@ -23,6 +19,7 @@
   white-space: nowrap;
   text-overflow: ellipsis;
   overflow-x: hidden;
+  line-height: 22px;
 }
 
 lit-switch .icon-button {
@@ -63,12 +60,10 @@ lit-switch .icon-button {
   margin-right: 8px;
 }
 
-.controls-group-variable > label {
-  min-width: 45px;
-}
-
 .controls-group-variable .dropdown {
-  max-width: calc(100% - 45px);
+  max-width: calc(100% - 22px);
+  margin-right: 4px;
+  text-overflow: ellipsis;
 }
 
 .vertical-separator {
@@ -95,4 +90,26 @@ color-legend {
   /* extra space to keep other controls from jumping when legend changes */
   /* width: 400px; */
   margin-right: 16px;
+}
+
+
+/* Pending request indicator */
+.loading-indicator-container {
+  position: relative;
+  width: 100%;
+  top: -2px;
+}
+
+@keyframes running-progress {
+  0% { margin-left: 0; margin-right: 100%; }
+  50% { margin-left: 35%; margin-right: 0%; }
+  100% { margin-left: 100%; margin-right: 0%; }
+}
+
+.loading-indicator {
+  position: absolute;
+  background-color: var(--lit-neutral-500);
+  width: 100%;
+  height: 2px;
+  animation: running-progress 2s cubic-bezier(0.4, 0, 0.2, 1) infinite;
 }
\ No newline at end of file
diff --git a/lit_nlp/client/modules/lm_salience_module.ts b/lit_nlp/client/modules/lm_salience_module.ts
index 1d064a70..14d69b9f 100644
--- a/lit_nlp/client/modules/lm_salience_module.ts
+++ b/lit_nlp/client/modules/lm_salience_module.ts
@@ -10,6 +10,7 @@ import '../elements/fused_button_bar';
 import {css, html} from 'lit';
 // tslint:disable:no-new-decorators
 import {customElement} from 'lit/decorators.js';
+import {classMap} from 'lit/directives/class-map.js';
 import {computed, observable} from 'mobx';
 
 import {LitModule} from '../core/lit_module';
@@ -556,17 +557,21 @@ export class LMSalienceModule extends SingleExampleSingleModelModule {
     `;
   }
 
+  /* Disabled for space reasons. */
+  // renderSelfScoreSelector() {
+  //   const onClickToggleSelfSalience = () => {
+  //     this.showSelfSalience = !this.showSelfSalience;
+  //   };
+  //   // prettier-ignore
+  //   return html`
+  //     <lit-switch labelLeft="Show self scores"
+  //       ?selected=${this.showSelfSalience}
+  //       @change=${onClickToggleSelfSalience}>
+  //     </lit-switch>
+  //   `;
+  // }
   renderSelfScoreSelector() {
-    const onClickToggleSelfSalience = () => {
-      this.showSelfSalience = !this.showSelfSalience;
-    };
-    // prettier-ignore
-    return html`
-      <lit-switch labelLeft="Show self scores"
-        ?selected=${this.showSelfSalience}
-        @change=${onClickToggleSelfSalience}>
-      </lit-switch>
-    `;
+    return null;
   }
 
   renderMethodSelector() {
@@ -632,14 +637,29 @@ export class LMSalienceModule extends SingleExampleSingleModelModule {
            </option>`;
     });
 
+    const targetSelectorHelp =
+        'Select a (response) from the model or a pre-defined (target) sequence from the dataset.';
+
     // prettier-ignore
     return html`
       <div class="controls-group controls-group-variable"
         title="Target string for salience.">
-        <label class="dropdown-label">Target:</label>
         <select class="dropdown" @change=${onChangeTarget}>
           ${options}
         </select>
+        <lit-tooltip content=${targetSelectorHelp} tooltipPosition="left">
+          <span class="help-icon material-icon-outlined icon-button">
+            help_outline
+          </span>
+        </lit-tooltip>
+      </div>`;
+  }
+
+  renderLoadingIndicator() {
+    // prettier-ignore
+    return html`
+      <div class='loading-indicator-container'>
+        <div class='loading-indicator'></div>
       </div>`;
   }
 
@@ -658,12 +678,22 @@ export class LMSalienceModule extends SingleExampleSingleModelModule {
       return `Explaining ${this.printTargetForHuman(start, end)}`;
     };
 
+    const requestPending = this.targetTokenSpan !== undefined &&
+        this.salienceResultCache[this.spanToKey(this.targetTokenSpan)] ===
+            REQUEST_PENDING;
+    // const requestPending = true;
+    const infoLineClasses = classMap({
+      'target-info-line': true,
+      'gray-text': requestPending,
+    });
+
     // prettier-ignore
     return html`
       <div class="controls-group controls-group-variable"
         title="Selected target span.">
-        <div class="target-info-line">
+        <div class=${infoLineClasses}>
           ${printSelectedTargets()}
+          ${requestPending ? this.renderLoadingIndicator() : null}
         </div>
       </div>
     `;
@@ -741,12 +771,9 @@ export class LMSalienceModule extends SingleExampleSingleModelModule {
       });
     }
 
-    // TODO: revert to 4px for non-dense view if we can figure out the
-    // display mode for token chips? Needs more padding for block mode,
-    // but also indentation and newlines are wonky.
     // prettier-ignore
     return html`
-      <div class=${this.denseView ? 'chip-container-dense' : 'chip-container'}>
+      <div class='chip-container'>
         <lm-salience-chips .tokensWithWeights=${segmentsWithWeights} 
           ?dense=${this.denseView} ?preSpace=${this.denseView}
           .cmap=${this.cmap} breakNewlines displayBlock>
@@ -793,7 +820,7 @@ export class LMSalienceModule extends SingleExampleSingleModelModule {
         <lit-numeric-input min="0" max="6" step="0.25" id='gamma-slider'
           value="${this.cmapGamma}" @change=${onChangeGamma}>
         </lit-numeric-input>
-        <mwc-icon class='icon-button value-reset-icon' title='Reset gamma'
+        <mwc-icon class='icon-button value-reset-icon' title='Reset colormap'
           @click=${resetGamma}>
           restart_alt
         </mwc-icon>
diff --git a/lit_nlp/examples/models/instrumented_keras_lms.py b/lit_nlp/examples/models/instrumented_keras_lms.py
index 96a0af72..453487bd 100644
--- a/lit_nlp/examples/models/instrumented_keras_lms.py
+++ b/lit_nlp/examples/models/instrumented_keras_lms.py
@@ -307,7 +307,7 @@ def layer_intercept_fn(x, i):
         FieldNames.GRAD_NORM: grad_l2,
         FieldNames.GRAD_DOT_INPUT: grad_dot_input,
         # Shift token loss to align with (input) tokens.
-        FieldNames.TOKEN_LOSS: tf.roll(per_token_loss, shift=1, axis=1),
+        # FieldNames.TOKEN_LOSS: tf.roll(per_token_loss, shift=1, axis=1),
     }
 
     return batched_outputs
@@ -322,7 +322,7 @@ def _postprocess(self, preds):
     ):
       preds[key] = preds[key][mask]
     # First token (<bos>) is not actually predicted, so return 0 for loss.
-    preds[FieldNames.TOKEN_LOSS][0] = 0
+    # preds[FieldNames.TOKEN_LOSS][0] = 0
 
     return preds
 
@@ -353,11 +353,11 @@ def input_spec(self):
   def output_spec(self) -> lit_types.Spec:
     return {
         FieldNames.TOKENS: lit_types.Tokens(parent=""),  # All tokens.
+        FieldNames.GRAD_NORM: lit_types.TokenScores(align=FieldNames.TOKENS),
         FieldNames.GRAD_DOT_INPUT: lit_types.TokenScores(
             align=FieldNames.TOKENS
         ),
-        FieldNames.GRAD_NORM: lit_types.TokenScores(align=FieldNames.TOKENS),
-        FieldNames.TOKEN_LOSS: lit_types.TokenScores(align=FieldNames.TOKENS),
+        # FieldNames.TOKEN_LOSS: lit_types.TokenScores(align=FieldNames.TOKENS),
     }
 
 
diff --git a/lit_nlp/examples/models/pretrained_lms.py b/lit_nlp/examples/models/pretrained_lms.py
index 9fdae45d..cbb9e89c 100644
--- a/lit_nlp/examples/models/pretrained_lms.py
+++ b/lit_nlp/examples/models/pretrained_lms.py
@@ -594,7 +594,7 @@ def _pred(self, encoded_inputs, target_masks):
         "grad_l2": grad_l2,
         "grad_dot_input": grad_dot_input,
         # Shift token loss to align with (input) tokens.
-        "token_loss": tf.roll(per_token_loss, shift=1, axis=1),
+        # "token_loss": tf.roll(per_token_loss, shift=1, axis=1),
     }
 
     return batched_outputs
@@ -609,7 +609,7 @@ def _postprocess(self, preds):
     for key in utils.find_spec_keys(self.output_spec(), lit_types.TokenScores):
       preds[key] = preds[key][mask]
     # First token (usually <s>) is not actually predicted, so return 0 for loss.
-    preds["token_loss"][0] = 0
+    # preds["token_loss"][0] = 0
 
     return preds
 
@@ -645,7 +645,7 @@ def output_spec(self) -> lit_types.Spec:
         "tokens": lit_types.Tokens(parent=""),  # all tokens
         "grad_l2": lit_types.TokenScores(align="tokens"),
         "grad_dot_input": lit_types.TokenScores(align="tokens"),
-        "token_loss": lit_types.TokenScores(align="tokens"),
+        # "token_loss": lit_types.TokenScores(align="tokens"),
     }