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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 8161
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    Explanations

    controversial or conflicting statements regarding health and medicine, such as about vaccination safety, processed meats, and the impact of chemicals

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to health risks and medical claims

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igsaw
    -0.82
     Horizons
    -0.76
     Bezos
    -0.75
     Schn
    -0.75
    owski
    -0.70
     Franchise
    -0.70
    utenberg
    -0.69
    ahime
    -0.69
    psons
    -0.68
    izons
    -0.68
    POSITIVE LOGITS
     harmful
    1.66
     carcin
    1.65
     addictive
    1.54
     toxins
    1.33
     unsafe
    1.33
     neurot
    1.33
     harmless
    1.32
     unhealthy
    1.30
     safer
    1.30
     detrimental
    1.29
    Activations Density 0.342%

    No Known Activations