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## automataAnalysis.ipynb

      
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              November 13, 2020 22:56
            
              
                Analysis of 1 layer 1 head transformers learning the 12 2-state and 2 1-state DFAs
              
          
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## ngram Feedback Modeling.ipynb

      
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              February 16, 2021 18:06
            
              
                NGram Feedback Modeling Notebook
              
          
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## fineTune.ipynb

      
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                / fineTune.ipynb
            
            
              Created
              April 2, 2021 19:11
            
          
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## cryptoTaxCompute.py
from os import walk
import os
import json
import pandas as pd
from decimal import Decimal

MAX_DATE = "2022-01-01 00:00:00+0000"

def formatAsDollars(x):
    return '${:,.2f}'.format(x)

## noise.py
from einops import rearrange
import torch
from functools import partial
from jaxtyping import Float
from transformer_lens.hook_points import HookPoint
import tqdm
import pandas as pd
import plotly.express as px
from mamba_lens import HookedMamba
from test_data import greater_than_data_generator, IOI_generator, ABC_TEMPLATES, BAC_TEMPLATES, BABA_TEMPLATES, BABA_LONG_TEMPLATES, BABA_LATE_IOS, BABA_EARLY_IOS
	from os import walk
	import os
	import json
	import pandas as pd
	from decimal import Decimal

	MAX_DATE = "2022-01-01 00:00:00+0000"

	def formatAsDollars(x):
	return '${:,.2f}'.format(x)
	from einops import rearrange
	import torch
	from functools import partial
	from jaxtyping import Float
	from transformer_lens.hook_points import HookPoint
	import tqdm
	import pandas as pd
	import plotly.express as px
	from mamba_lens import HookedMamba
	from test_data import greater_than_data_generator, IOI_generator, ABC_TEMPLATES, BAC_TEMPLATES, BABA_TEMPLATES, BABA_LONG_TEMPLATES, BABA_LATE_IOS, BABA_EARLY_IOS