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Update app.py
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app.py
CHANGED
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@@ -10,22 +10,7 @@ import numpy as np
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import plotly.express as px
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import circuitsvis as cv
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roneneldan/TinyStories-1M
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roneneldan/TinyStories-3M
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roneneldan/TinyStories-8M
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roneneldan/TinyStories-28M
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roneneldan/TinyStories-33M
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roneneldan/TinyStories-1Layer-21M
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roneneldan/TinyStories-2Layers-33M
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roneneldan/TinyStories-Instruct-1M
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roneneldan/TinyStories-Instruct-3M
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roneneldan/TinyStories-Instruct-8M
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roneneldan/TinyStories-Instruct-28M
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roneneldan/TinyStories-Instruct-33M
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roneneldan/TinyStories-Instuct-1Layer-21M
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roneneldan/TinyStories-Instruct-2Layers-33M
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"""
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# Little bit of front end for model selector
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@@ -62,6 +47,22 @@ model_name = st.sidebar.radio("Model (only use patching for\nsmall (<4L) models
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model = HookedTransformer.from_pretrained(model_name)
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def predict_next_token(prompt):
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logits = model(prompt)[0,-1]
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answer_index = logits.argmax()
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answer = model.tokenizer.decode(answer_index)
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import plotly.express as px
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import circuitsvis as cv
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# Little bit of front end for model selector
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model = HookedTransformer.from_pretrained(model_name)
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def predict_next_token(prompt):
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"""
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roneneldan/TinyStories-1M
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roneneldan/TinyStories-3M
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roneneldan/TinyStories-8M
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roneneldan/TinyStories-28M
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roneneldan/TinyStories-33M
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roneneldan/TinyStories-1Layer-21M
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roneneldan/TinyStories-2Layers-33M
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roneneldan/TinyStories-Instruct-1M
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roneneldan/TinyStories-Instruct-3M
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roneneldan/TinyStories-Instruct-8M
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roneneldan/TinyStories-Instruct-28M
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roneneldan/TinyStories-Instruct-33M
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roneneldan/TinyStories-Instuct-1Layer-21M
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roneneldan/TinyStories-Instruct-2Layers-33M
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"""
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logits = model(prompt)[0,-1]
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answer_index = logits.argmax()
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answer = model.tokenizer.decode(answer_index)
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