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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. 0-RES-JB
    6. 5600
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    Explanations

    medical acronyms related to a specific medical condition, specifically "SS" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    the acronym "SS" which pertains to relevant contexts and discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flore
    -0.77
     Fiat
    -0.72
    ney
    -0.69
     disputes
    -0.69
     Wayne
    -0.69
     coun
    -0.68
     Painter
    -0.65
     Bloomberg
    -0.64
     Fare
    -0.61
     Calgary
    -0.61
    POSITIVE LOGITS
    SS
    4.19
     SS
    2.09
    ss
    1.74
    SSL
    1.56
    SR
    1.48
    SD
    1.47
    RS
    1.44
    DD
    1.39
    LS
    1.35
    SL
    1.31
    Activations Density 0.008%

    No Known Activations