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<style type="text/css">
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#T_a780d_row1_col10, #T_a780d_row2_col16, #T_a780d_row5_col10, #T_a780d_row10_col4 {
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#T_a780d_row2_col12 {
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#T_a780d_row3_col9, #T_a780d_row5_col9 {
  background-color: #33628d;
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  background-color: #3f4889;
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#T_a780d_row3_col15 {
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#T_a780d_row3_col16, #T_a780d_row11_col4 {
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#T_a780d_row4_col2 {
  background-color: #2d708e;
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#T_a780d_row4_col3 {
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#T_a780d_row4_col5 {
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#T_a780d_row4_col12, #T_a780d_row5_col15, #T_a780d_row6_col11, #T_a780d_row7_col15 {
  background-color: #471365;
  color: #f1f1f1;
}
#T_a780d_row4_col14 {
  background-color: #95d840;
  color: #000000;
}
#T_a780d_row4_col15, #T_a780d_row9_col8 {
  background-color: #472a7a;
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}
#T_a780d_row4_col16, #T_a780d_row6_col10, #T_a780d_row7_col8, #T_a780d_row8_col15 {
  background-color: #481769;
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#T_a780d_row5_col2, #T_a780d_row11_col9 {
  background-color: #25858e;
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}
#T_a780d_row5_col3 {
  background-color: #297b8e;
  color: #f1f1f1;
}
#T_a780d_row5_col5 {
  background-color: #24878e;
  color: #f1f1f1;
}
#T_a780d_row5_col8 {
  background-color: #481f70;
  color: #f1f1f1;
}
#T_a780d_row5_col11, #T_a780d_row6_col12, #T_a780d_row9_col7 {
  background-color: #46075a;
  color: #f1f1f1;
}
#T_a780d_row5_col13 {
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}
#T_a780d_row5_col14 {
  background-color: #7fd34e;
  color: #000000;
}
#T_a780d_row6_col2 {
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  color: #f1f1f1;
}
#T_a780d_row6_col3, #T_a780d_row7_col3 {
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}
#T_a780d_row6_col4, #T_a780d_row6_col7, #T_a780d_row7_col4, #T_a780d_row7_col7, #T_a780d_row8_col7 {
  background-color: #450457;
  color: #f1f1f1;
}
#T_a780d_row6_col5 {
  background-color: #46c06f;
  color: #f1f1f1;
}
#T_a780d_row6_col9 {
  background-color: #481a6c;
  color: #f1f1f1;
}
#T_a780d_row6_col14 {
  background-color: #56c667;
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}
#T_a780d_row6_col16 {
  background-color: #472f7d;
  color: #f1f1f1;
}
#T_a780d_row7_col2 {
  background-color: #2ab07f;
  color: #f1f1f1;
}
#T_a780d_row7_col5, #T_a780d_row11_col12 {
  background-color: #218e8d;
  color: #f1f1f1;
}
#T_a780d_row7_col9, #T_a780d_row9_col10 {
  background-color: #34618d;
  color: #f1f1f1;
}
#T_a780d_row7_col10 {
  background-color: #482878;
  color: #f1f1f1;
}
#T_a780d_row7_col11 {
  background-color: #482475;
  color: #f1f1f1;
}
#T_a780d_row7_col12 {
  background-color: #482071;
  color: #f1f1f1;
}
#T_a780d_row7_col13 {
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}
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}
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  color: #f1f1f1;
}
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  background-color: #52c569;
  color: #000000;
}
#T_a780d_row8_col3 {
  background-color: #1fa188;
  color: #f1f1f1;
}
#T_a780d_row8_col4, #T_a780d_row8_col9, #T_a780d_row9_col4 {
  background-color: #450559;
  color: #f1f1f1;
}
#T_a780d_row8_col5 {
  background-color: #73d056;
  color: #000000;
}
#T_a780d_row8_col8 {
  background-color: #481c6e;
  color: #f1f1f1;
}
#T_a780d_row8_col10 {
  background-color: #443b84;
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}
#T_a780d_row8_col11 {
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}
#T_a780d_row8_col12, #T_a780d_row9_col15 {
  background-color: #472c7a;
  color: #f1f1f1;
}
#T_a780d_row8_col13 {
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}
#T_a780d_row8_col16 {
  background-color: #38598c;
  color: #f1f1f1;
}
#T_a780d_row9_col2 {
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  color: #000000;
}
#T_a780d_row9_col3 {
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  color: #f1f1f1;
}
#T_a780d_row9_col5 {
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  color: #000000;
}
#T_a780d_row9_col9 {
  background-color: #433d84;
  color: #f1f1f1;
}
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  background-color: #365d8d;
  color: #f1f1f1;
}
#T_a780d_row9_col14 {
  background-color: #1fa287;
  color: #f1f1f1;
}
#T_a780d_row9_col16 {
  background-color: #297a8e;
  color: #f1f1f1;
}
#T_a780d_row10_col2 {
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  color: #000000;
}
#T_a780d_row10_col3 {
  background-color: #65cb5e;
  color: #000000;
}
#T_a780d_row10_col5 {
  background-color: #93d741;
  color: #000000;
}
#T_a780d_row10_col7 {
  background-color: #46085c;
  color: #f1f1f1;
}
#T_a780d_row10_col9 {
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  color: #f1f1f1;
}
#T_a780d_row10_col10 {
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}
#T_a780d_row10_col11 {
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}
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}
#T_a780d_row10_col16 {
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}
#T_a780d_row11_col7 {
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}
#T_a780d_row11_col8 {
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  color: #f1f1f1;
}
#T_a780d_row11_col14 {
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  color: #f1f1f1;
}
#T_a780d_row11_col15 {
  background-color: #23898e;
  color: #f1f1f1;
}
</style>
<table id="T_a780d">
  <thead>
    <tr>
      <th class="blank level0" >&nbsp;</th>
      <th id="T_a780d_level0_col0" class="col_heading level0 col0" >version</th>
      <th id="T_a780d_level0_col1" class="col_heading level0 col1" >d_sae</th>
      <th id="T_a780d_level0_col2" class="col_heading level0 col2" >layer</th>
      <th id="T_a780d_level0_col3" class="col_heading level0 col3" >kl_div_with_sae</th>
      <th id="T_a780d_level0_col4" class="col_heading level0 col4" >kl_div_with_ablation</th>
      <th id="T_a780d_level0_col5" class="col_heading level0 col5" >ce_loss_with_sae</th>
      <th id="T_a780d_level0_col6" class="col_heading level0 col6" >ce_loss_without_sae</th>
      <th id="T_a780d_level0_col7" class="col_heading level0 col7" >ce_loss_with_ablation</th>
      <th id="T_a780d_level0_col8" class="col_heading level0 col8" >kl_div_score</th>
      <th id="T_a780d_level0_col9" class="col_heading level0 col9" >ce_loss_score</th>
      <th id="T_a780d_level0_col10" class="col_heading level0 col10" >l2_norm_in</th>
      <th id="T_a780d_level0_col11" class="col_heading level0 col11" >l2_norm_out</th>
      <th id="T_a780d_level0_col12" class="col_heading level0 col12" >l2_ratio</th>
      <th id="T_a780d_level0_col13" class="col_heading level0 col13" >l0</th>
      <th id="T_a780d_level0_col14" class="col_heading level0 col14" >l1</th>
      <th id="T_a780d_level0_col15" class="col_heading level0 col15" >explained_variance</th>
      <th id="T_a780d_level0_col16" class="col_heading level0 col16" >mse</th>
      <th id="T_a780d_level0_col17" class="col_heading level0 col17" >total_tokens_evaluated</th>
      <th id="T_a780d_level0_col18" class="col_heading level0 col18" >filepath</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th id="T_a780d_level0_row0" class="row_heading level0 row0" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_0/metrics.json</th>
      <td id="T_a780d_row0_col0" class="data row0 col0" >5</td>
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      <td id="T_a780d_row0_col12" class="data row0 col12" >0.993006</td>
      <td id="T_a780d_row0_col13" class="data row0 col13" >31.999350</td>
      <td id="T_a780d_row0_col14" class="data row0 col14" >61.198639</td>
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      <td id="T_a780d_row0_col16" class="data row0 col16" >13.276111</td>
      <td id="T_a780d_row0_col17" class="data row0 col17" >6144.000000</td>
      <td id="T_a780d_row0_col18" class="data row0 col18" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_0/metrics.json</td>
    </tr>
    <tr>
      <th id="T_a780d_level0_row1" class="row_heading level0 row1" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_1/metrics.json</th>
      <td id="T_a780d_row1_col0" class="data row1 col0" >5</td>
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      <td id="T_a780d_row1_col12" class="data row1 col12" >0.932765</td>
      <td id="T_a780d_row1_col13" class="data row1 col13" >32.000000</td>
      <td id="T_a780d_row1_col14" class="data row1 col14" >84.060181</td>
      <td id="T_a780d_row1_col15" class="data row1 col15" >0.916917</td>
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      <td id="T_a780d_row1_col17" class="data row1 col17" >6144.000000</td>
      <td id="T_a780d_row1_col18" class="data row1 col18" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_1/metrics.json</td>
    </tr>
    <tr>
      <th id="T_a780d_level0_row2" class="row_heading level0 row2" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_2/metrics.json</th>
      <td id="T_a780d_row2_col0" class="data row2 col0" >5</td>
      <td id="T_a780d_row2_col1" class="data row2 col1" >128</td>
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      <td id="T_a780d_row2_col12" class="data row2 col12" >0.912467</td>
      <td id="T_a780d_row2_col13" class="data row2 col13" >31.984375</td>
      <td id="T_a780d_row2_col14" class="data row2 col14" >82.676140</td>
      <td id="T_a780d_row2_col15" class="data row2 col15" >0.981090</td>
      <td id="T_a780d_row2_col16" class="data row2 col16" >28.213791</td>
      <td id="T_a780d_row2_col17" class="data row2 col17" >6144.000000</td>
      <td id="T_a780d_row2_col18" class="data row2 col18" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_2/metrics.json</td>
    </tr>
    <tr>
      <th id="T_a780d_level0_row3" class="row_heading level0 row3" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_3/metrics.json</th>
      <td id="T_a780d_row3_col0" class="data row3 col0" >5</td>
      <td id="T_a780d_row3_col1" class="data row3 col1" >128</td>
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      <td id="T_a780d_row3_col4" class="data row3 col4" >0.070592</td>
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      <td id="T_a780d_row3_col16" class="data row3 col16" >38.814980</td>
      <td id="T_a780d_row3_col17" class="data row3 col17" >6144.000000</td>
      <td id="T_a780d_row3_col18" class="data row3 col18" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_3/metrics.json</td>
    </tr>
    <tr>
      <th id="T_a780d_level0_row4" class="row_heading level0 row4" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_4/metrics.json</th>
      <td id="T_a780d_row4_col0" class="data row4 col0" >5</td>
      <td id="T_a780d_row4_col1" class="data row4 col1" >128</td>
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      <td id="T_a780d_row4_col14" class="data row4 col14" >78.371658</td>
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      <td id="T_a780d_row4_col17" class="data row4 col17" >6144.000000</td>
      <td id="T_a780d_row4_col18" class="data row4 col18" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_4/metrics.json</td>
    </tr>
    <tr>
      <th id="T_a780d_level0_row5" class="row_heading level0 row5" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_5/metrics.json</th>
      <td id="T_a780d_row5_col0" class="data row5 col0" >5</td>
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      <td id="T_a780d_row5_col17" class="data row5 col17" >6144.000000</td>
      <td id="T_a780d_row5_col18" class="data row5 col18" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_5/metrics.json</td>
    </tr>
    <tr>
      <th id="T_a780d_level0_row6" class="row_heading level0 row6" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_6/metrics.json</th>
      <td id="T_a780d_row6_col0" class="data row6 col0" >5</td>
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      <td id="T_a780d_row6_col17" class="data row6 col17" >6144.000000</td>
      <td id="T_a780d_row6_col18" class="data row6 col18" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_6/metrics.json</td>
    </tr>
    <tr>
      <th id="T_a780d_level0_row7" class="row_heading level0 row7" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_7/metrics.json</th>
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      <td id="T_a780d_row7_col17" class="data row7 col17" >6144.000000</td>
      <td id="T_a780d_row7_col18" class="data row7 col18" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_7/metrics.json</td>
    </tr>
    <tr>
      <th id="T_a780d_level0_row8" class="row_heading level0 row8" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_8/metrics.json</th>
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      <td id="T_a780d_row8_col18" class="data row8 col18" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_8/metrics.json</td>
    </tr>
    <tr>
      <th id="T_a780d_level0_row9" class="row_heading level0 row9" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_9/metrics.json</th>
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      <td id="T_a780d_row9_col18" class="data row9 col18" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_9/metrics.json</td>
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    <tr>
      <th id="T_a780d_level0_row10" class="row_heading level0 row10" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_10/metrics.json</th>
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      <td id="T_a780d_row10_col18" class="data row10 col18" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_10/metrics.json</td>
    </tr>
    <tr>
      <th id="T_a780d_level0_row11" class="row_heading level0 row11" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_11/metrics.json</th>
      <td id="T_a780d_row11_col0" class="data row11 col0" >5</td>
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      <td id="T_a780d_row11_col17" class="data row11 col17" >6144.000000</td>
      <td id="T_a780d_row11_col18" class="data row11 col18" >OAI_GPT2Small_v5_128k_resid_delta_mlp/v5_128k_layer_11/metrics.json</td>
    </tr>
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</table>