Features of prelude-2
Inside the model, every token is a list of numbers that mix many things at once. A sparse autoencoder, trained on the residual stream after block 4, splits it into 4,096 directions, few of them active at a time: each one tends to mean one thing, like “the last digit of a number” or “a story begins”. Shaded tokens show where a feature fires.
- Features
- 4,096
- Loss recovered
- 98.9%
- Variance unexplained
- 7.3%
- Model loss, with the features
- 2.565 → 2.631
4,096 features.
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#792
Fires on “Read”agent 0.46% of tokensread<|arg|>path=items.py<|tool_call_end|><|assistant_end|><|tool_start|>Read file items
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#793
Fires on “1”python 0.62% of tokens(1) == 1⏎assert positive(12)
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#794
Fires on “⏎”python 0.10% of tokensa nice day.<|assistant_end|><|bos|># textlib.py⏎def size
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#795
Fires on “ for”story 0.65% of tokensI want to play with you."⏎They played for a long
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#796
Fires on “ She”story 1.21% of tokensops the pen.⏎Mom hears the noise. She comes to
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#797
Fires on “ "”python 0.24% of tokens<|arg|>oldString= return "Hello, " + name
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#798
Fires on “.”story 1.66% of tokenswas not an angel. She was a fool.<|bos|>Ben
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#799
Fires on “ =”agent 0.65% of tokens771.⏎5 + 78 = 8
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#800
Fires on “7”agent 0.40% of tokens7 plus 44311 equals 443
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#801
Fires on “<|arg|>”agent 1.07% of tokensmax(nums)<|tool_end|><|assistant_start|><|tool_call_start|>edit<|arg|>path=
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#802
Fires on “ ”worksheet 3.01% of tokens([8, 2, 7]) == 8⏎
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#803
Fires on “ She”story 0.53% of tokensmake his mus
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#804
Fires on “tools”agent 0.71% of tokensto tell stories and add numbers.<|assistant_end|><|bos|><|system_start|>tools: edit
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#805
Fires on “ a”story 0.20% of tokensThey were sad and sore.<|bos|>Once upon a time there
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#806
Fires on “8”agent 0.74% of tokens8, 8, 5])⏎[8,
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#807
Fires on “ did”story 1.59% of tokenssaw the scared bug and stopped playing. The cat did not want
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#808
Fires on “They”story 0.54% of tokens. "I need it for my doll."⏎They both reached
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#809
Fires on “Anna”agent 0.52% of tokens96 = 6610.⏎Anna had
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#810
Fires on “0”worksheet 0.72% of tokens67726.⏎00046
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#811
Fires on “ race”story 0.55% of tokensrace in her town. She wanted to join the race and win
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#812
Fires on “'s”chat 0.34% of tokensfor a story!<|assistant_end|><|user_start|>What's your name
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#813
Fires on “ their”agent 0.13% of tokensdecided to share the fruit with all their jungle friends
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#814
Fires on “)`”python 0.40% of tokens⏎"n"⏎⏎`whisper(s)` returns s
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#815
Fires on “The”story 2.45% of tokenscatch until it was time to go home.⏎The next day
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#816
Fires on “ like”story 0.57% of tokensHave a nice day.<|assistant_end|><|bos|><|system_start|>Start every answer with
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#817
Fires on “ to”story 0.71% of tokensher mom.⏎Kitty took the letter and skipped to the mailbox
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#818
Fires on “0”python 0.22% of tokens. For example, `multiply(10,
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#819
Fires on “<|assistant_end|>”agent 0.37% of tokensglob<|arg|>pattern=**/test_*.py<|tool_call_end|><|assistant_end|><|tool_start|>test
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#820
Fires on “ used”agent 0.25% of tokenshello` in `greetings.py`: it used `return
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#821
Fires on “ each”agent 0.63% of tokensthey hid their toys and snacks. They trusted each other and
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#822
Fires on “Oh”story 0.56% of tokensand saw the broken colors. She said, "Oh no,
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#823
Fires on “ a”story 0.57% of tokensbest swimmer in the sea." Fin thought for a moment and
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#824
Fires on “ "”story 1.06% of tokensfrom them."⏎Tom nods and says, "I understand
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#825
Fires on “ high”story 0.45% of tokensto play with the ball, but it was too high for him
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#826
Fires on “ bird”story 0.52% of tokensThe ant cried.⏎Just then, a big bird came and
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#827
Fires on “ v”story 0.25% of tokens, laughing and having fun, knowing they learned a valu
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#828
Fires on “<|assistant_start|>”chat 0.80% of tokens92 + 442.<|user_end|><|assistant_start|><|tool_call_start|>calculator
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#829
Fires on “Do”python 0.22% of tokensI am Sam," said the new fish. "Do you want
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#830
Fires on “0”python 0.99% of tokens, 6, 16, 12,
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#831
Fires on “ed”agent 0.73% of tokens2: return x * x<|tool_end|><|assistant_start|><|tool_call_start|>edit<|arg|>
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#832
Fires on “⏎”worksheet 0.23% of tokensequals 74.⏎What's
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#833
Fires on “def”agent 0.22% of tokens.<|user_end|><|assistant_start|><|tool_call_start|>grep<|arg|>pattern=def hello<|tool_call_end|>
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#834
Fires on “What”story 0.03% of tokensa pretty purple. Then, she mixed blue and yellow and made
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#835
Fires on “ like”agent 0.53% of tokensy there<|user_end|><|assistant_start|>Hi there! Would you like a story
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#836
Fires on “ and”story 1.87% of tokens⏎A girl named Lily came to the park. She saw the
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#837
Fires on “ princess”chat 0.52% of tokenstree.<|assistant_end|><|user_start|>I want a story about a princess!<|user_end|>
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#838
Fires on “moon”agent 0.53% of tokensfirst_letter⏎⏎assert loud("moon") ==
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#839
Fires on “=”agent 1.55% of tokens5+1: 5+1+1=7,
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#840
Fires on “ be”story 0.40% of tokenstouch it.⏎Mom and Dad told them to be careful.
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#841
Fires on “n”python 1.66% of tokens```python⏎def increment(x):⏎ return x -