Support symbolic tracing for NeoX models
### Feature request

Currently `transformers.utils.fx.symbolic_trace` fails when passed any NeoX model, and I'd like to fix that:
```
NotImplementedError: Model GPTNeoXForCausalLM is not supported yet, supported models: AlbertForMaskedLM, 
AlbertForMultipleChoice, AlbertForPreTraining, AlbertForQuestionAnswering, AlbertForSequenceClassification, 
AlbertForTokenClassification, AlbertModel, AltCLIPModel, AltCLIPTextModel, AltCLIPVisionModel, BartForCausalLM, 
BartForConditionalGeneration, BartForQuestionAnswering, BartForSequenceClassification, BartModel, BertForMaskedLM, 
BertForMultipleChoice, BertForNextSentencePrediction, BertForPreTraining, BertForQuestionAnswering, 
BertForSequenceClassification, BertForTokenClassification, BertLMHeadModel, BertModel, BlenderbotForCausalLM, 
BlenderbotForConditionalGeneration, BlenderbotModel, BlenderbotSmallForCausalLM, 
BlenderbotSmallForConditionalGeneration, BlenderbotSmallModel, BloomForCausalLM, BloomForQuestionAnswering, 
BloomForSequenceClassification, BloomForTokenClassification, BloomModel, CLIPModel, CLIPTextModel, 
CLIPTextModelWithProjection, CLIPVisionModel, CLIPVisionModelWithProjection, ConvNextBackbone, 
ConvNextForImageClassification, ConvNextModel, DebertaForMaskedLM, DebertaForQuestionAnswering, 
DebertaForSequenceClassification, DebertaForTokenClassification, DebertaModel, DebertaV2ForMaskedLM, 
DebertaV2ForMultipleChoice, DebertaV2ForQuestionAnswering, DebertaV2ForSequenceClassification, 
DebertaV2ForTokenClassification, DebertaV2Model, DistilBertForMaskedLM, DistilBertForMultipleChoice, 
DistilBertForQuestionAnswering, DistilBertForSequenceClassification, DistilBertForTokenClassification, 
DistilBertModel, DonutSwinModel, ElectraForCausalLM, ElectraForMaskedLM, ElectraForMultipleChoice, 
ElectraForPreTraining, ElectraForQuestionAnswering, ElectraForSequenceClassification, 
ElectraForTokenClassification, ElectraModel, GPT2DoubleHeadsModel, GPT2ForQuestionAnswering, 
GPT2ForSequenceClassification, GPT2ForTokenClassification, GPT2LMHeadModel, GPT2Model, GPTJForCausalLM, 
GPTJForQuestionAnswering, GPTJForSequenceClassification, GPTJModel, GPTNeoForCausalLM, GPTNeoForQuestionAnswering, 
GPTNeoForSequenceClassification, GPTNeoForTokenClassification, GPTNeoModel, GitVisionModel, HubertForCTC, 
HubertForSequenceClassification, HubertModel, LayoutLMForMaskedLM, LayoutLMForQuestionAnswering, 
LayoutLMForSequenceClassification, LayoutLMForTokenClassification, LayoutLMModel, LxmertForPreTraining, 
LxmertForQuestionAnswering, LxmertModel, M2M100ForConditionalGeneration, M2M100Model, MBartForCausalLM, 
MBartForConditionalGeneration, MBartForQuestionAnswering, MBartForSequenceClassification, MBartModel, 
MT5ForConditionalGeneration, MT5Model, MarianForCausalLM, MarianMTModel, MarianModel, MegatronBertForCausalLM, 
MegatronBertForMaskedLM, MegatronBertForMultipleChoice, MegatronBertForNextSentencePrediction, 
MegatronBertForPreTraining, MegatronBertForQuestionAnswering, MegatronBertForSequenceClassification, 
MegatronBertForTokenClassification, MegatronBertModel, MobileBertForMaskedLM, MobileBertForMultipleChoice, 
MobileBertForNextSentencePrediction, MobileBertForPreTraining, MobileBertForQuestionAnswering, 
MobileBertForSequenceClassification, MobileBertForTokenClassification, MobileBertModel, NezhaForMaskedLM, 
NezhaForMultipleChoice, NezhaForNextSentencePrediction, NezhaForPreTraining, NezhaForQuestionAnswering, 
NezhaForSequenceClassification, NezhaForTokenClassification, NezhaModel, OPTForCausalLM, OPTForQuestionAnswering, 
OPTForSequenceClassification, OPTModel, PLBartForCausalLM, PLBartForConditionalGeneration, 
PLBartForSequenceClassification, PLBartModel, PeftModelForCausalLM, PeftModelForSeq2SeqLM, PegasusForCausalLM, 
PegasusForConditionalGeneration, PegasusModel, ResNetBackbone, ResNetForImageClassification, ResNetModel, 
RobertaForCausalLM, RobertaForMaskedLM, RobertaForMultipleChoice, RobertaForQuestionAnswering, 
RobertaForSequenceClassification, RobertaForTokenClassification, RobertaModel, SegformerForImageClassification, 
SegformerForSemanticSegmentation, SegformerModel, Speech2Text2Decoder, Speech2Text2ForCausalLM, 
Speech2TextForConditionalGeneration, Speech2TextModel, SwinBackbone, SwinForImageClassification, 
SwinForMaskedImageModeling, SwinModel, T5ForConditionalGeneration, T5Model, TrOCRDecoder, TrOCRForCausalLM, 
ViTForImageClassification, ViTForMaskedImageModeling, ViTModel, Wav2Vec2ForCTC, Wav2Vec2ForMaskedLM, 
Wav2Vec2ForPreTraining, Wav2Vec2ForSequenceClassification, Wav2Vec2Model, XGLMForCausalLM, XGLMModel
```

### Motivation

The main motivation for this is to enable graph rewriting with the EleutherAI Pythia model suite. Graph rewriting has various interpretability use-cases and the Pythia suite was designed for interpretability research.

### Your contribution

I plan to implement a PR for this soon unless there's some major blocker for it.
Hi @norabelrose 

That would be very nice if you are able to enable this 🤗 . Thanks in advance.