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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 17562
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    Explanations

    information related to health, specifically focusing on potential risks, diseases, and warnings

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases associated with health issues and medical conditions

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

    No Comments

    Negative Logits
     Helpful
    -0.84
    coni
    -0.81
     Reloaded
    -0.77
     Hundred
    -0.73
    ãĥĺ
    -0.66
     Guilty
    -0.66
    Ń·
    -0.64
    âĸ¬
    -0.64
     Pixel
    -0.63
     Darkness
    -0.62
    POSITIVE LOGITS
     care
    1.08
    care
    1.03
    iest
    1.02
    span
    1.01
    ily
    0.97
    fulness
    0.93
    aceutical
    0.90
     professionals
    0.89
     isot
    0.87
    iness
    0.85
    Activations Density 0.030%

    No Known Activations