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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. 22623
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    Explanations

    keywords related to educational institutions and programs, business investment, regulations, and demographic information

    oai_token-act-pair · gpt-3.5-turbo

    terms and concepts related to business, economics, and social issues

    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
    Not in Any Lists

    No Comments

    Negative Logits
    aminer
    -0.60
    ebook
    -0.56
    kef
    -0.53
    ãĤ©
    -0.52
    milo
    -0.51
    代
    -0.49
    ogie
    -0.49
    enegger
    -0.48
     IMAGES
    -0.47
    aunted
    -0.47
    POSITIVE LOGITS
     or
    0.50
     specific
    0.50
    /
    0.50
    âĢIJ
    0.50
     strengths
    0.48
     affili
    0.44
    autical
    0.44
    oreal
    0.44
    /
    0.44
    specific
    0.44
    Activations Density 1.047%

    No Known Activations