chore: adding test that all config params pass to sae

tests/unit/training/test_config.py

@@ -1,9 +1,12 @@
+from dataclasses import fields
 from typing import Optional
 
 import pytest
 
 from sae_lens import __version__
 from sae_lens.config import CacheActivationsRunnerConfig, LanguageModelSAERunnerConfig
+from sae_lens.sae import SAEConfig
+from sae_lens.training.training_sae import TrainingSAEConfig
 
 TINYSTORIES_MODEL = "tiny-stories-1M"
 TINYSTORIES_DATASET = "roneneldan/TinyStories"
@@ -20,6 +23,26 @@ def test_get_training_sae_cfg_dict_passes_scale_sparsity_penalty_by_decoder_norm
     assert not cfg.get_training_sae_cfg_dict()["scale_sparsity_penalty_by_decoder_norm"]
 
 
+def test_get_training_sae_cfg_dict_has_all_relevant_options():
+    cfg = LanguageModelSAERunnerConfig()
+    cfg_dict = cfg.get_training_sae_cfg_dict()
+    training_sae_opts = fields(TrainingSAEConfig)
+    allowed_missing_fields = {"neuronpedia_id"}
+    training_sae_field_names = {opt.name for opt in training_sae_opts}
+    missing_fields = training_sae_field_names - allowed_missing_fields - cfg_dict.keys()
+    assert missing_fields == set()
+
+
+def test_get_base_sae_cfg_dict_has_all_relevant_options():
+    cfg = LanguageModelSAERunnerConfig()
+    cfg_dict = cfg.get_base_sae_cfg_dict()
+    sae_opts = fields(SAEConfig)
+    allowed_missing_fields = {"neuronpedia_id"}
+    sae_field_names = {opt.name for opt in sae_opts}
+    missing_fields = sae_field_names - allowed_missing_fields - cfg_dict.keys()
+    assert missing_fields == set()
+
+
 def test_sae_training_runner_config_runs_with_defaults():
     """
     Helper to create a mock instance of LanguageModelSAERunnerConfig.