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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. 6-RES-JB
    6. 12940
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    terms related to health risks and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terms related to health risks and diseases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    minus
    -0.88
     largeDownload
    -0.79
    cles
    -0.79
    istas
    -0.75
    ulously
    -0.72
    REAM
    -0.72
    iband
    -0.72
    ele
    -0.70
    ial
    -0.68
    ãĤ¢ãĥ«
    -0.68
    POSITIVE LOGITS
     occurrence
    1.02
     miscarriage
    0.98
     disease
    0.93
     diseases
    0.91
     adverse
    0.90
     infection
    0.89
     harm
    0.88
     cardiovascular
    0.88
     relapse
    0.85
     chromos
    0.83
    Activations Density 0.126%

    No Known Activations