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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. 5-RES-JB
    6. 3751
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    Explanations

    medical-related terms or references in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to medical topics or terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -1.12
    uble
    -0.87
    gger
    -0.84
    unin
    -0.81
    yip
    -0.77
    arget
    -0.77
     capped
    -0.72
     Unch
    -0.71
     Sic
    -0.71
    egg
    -0.69
    POSITIVE LOGITS
     practition
    1.09
     professionals
    0.94
     examiner
    0.94
     practitioner
    0.94
     marijuana
    0.93
     practitioners
    0.92
     care
    0.88
     sciences
    0.87
     diagnosis
    0.82
     profession
    0.82
    Activations Density 0.024%

    No Known Activations