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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. 3-RES-JB
    11. 11180
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    Explanations

    resumes

    oai_token-act-pair · gpt-3.5-turbo

    references to resumes in the context of job applications and career discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cart
    -0.72
    usky
    -0.72
    bey
    -0.70
    atorial
    -0.70
    itsch
    -0.69
    olog
    -0.66
    bidden
    -0.62
    icated
    -0.62
    LGBT
    -0.62
     Nig
    -0.61
    POSITIVE LOGITS
     resume
    1.19
     resumes
    1.04
    olicy
    0.96
    pring
    0.88
    entry
    0.79
     Canaver
    0.78
    isode
    0.77
    ADRA
    0.72
    DAQ
    0.70
     conclud
    0.70
    Activations Density 0.007%

    No Known Activations