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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 22666
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    Explanations

    titles of books or research papers

    oai_token-act-pair · gpt-3.5-turbo

    titles of books or references to authors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    DERR
    -0.71
    omever
    -0.71
    same
    -0.68
    TN
    -0.64
    rette
    -0.63
    assad
    -0.63
    unda
    -0.62
    WF
    -0.62
    Redd
    -0.61
    ishers
    -0.61
    POSITIVE LOGITS
     Patterns
    1.10
     Handbook
    1.08
     Problems
    1.02
     Lessons
    1.02
     Strategies
    1.01
     Politics
    0.99
     Problem
    0.98
     Lives
    0.98
     Secrets
    0.98
     Changing
    0.97
    Activations Density 0.681%

    No Known Activations