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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 7075
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    Explanations

    terms related to medical treatment or solutions, particularly cures

    oai_token-act-pair · gpt-3.5-turbo

    references to cures for various ailments 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
    ideshow
    -0.76
    adden
    -0.74
    ardy
    -0.71
    ographics
    -0.70
    opers
    -0.70
    herty
    -0.69
    ographic
    -0.66
     Fired
    -0.65
    RAW
    -0.64
    uggish
    -0.64
    POSITIVE LOGITS
     cure
    1.00
     cures
    0.92
    nces
    0.91
    tt
    0.79
     cz
    0.78
    rers
    0.73
    enment
    0.73
    nce
    0.71
     curing
    0.70
    rix
    0.70
    Activations Density 0.035%

    No Known Activations