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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. 10-RES-JB
    6. 3353
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    Explanations

    medical conditions or diseases

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health and medical conditions, especially cardiovascular issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aer
    -0.75
    bara
    -0.60
     dormant
    -0.59
    AMS
    -0.57
    hillary
    -0.57
     Skydragon
    -0.57
    vez
    -0.56
     commod
    -0.55
    abouts
    -0.55
    atro
    -0.55
    POSITIVE LOGITS
    cular
    0.79
    ufact
    0.79
    èĢħ
    0.76
    acht
    0.71
    zee
    0.70
    ãĥ¼ãĤ¯
    0.68
    agement
    0.67
    rities
    0.66
    ãĥĥãĥĪ
    0.65
    export
    0.62
    Activations Density 0.171%

    No Known Activations