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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. 9-RES-JB
    6. 22605
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    Explanations

    varying names, possibly of notable individuals, that are at the center of news or articles

    oai_token-act-pair · gpt-3.5-turbo

    names of people and their affiliations or roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acters
    -0.66
    artments
    -0.56
    prus
    -0.55
    eals
    -0.55
     tyr
    -0.55
    LEASE
    -0.55
     captcha
    -0.54
    idences
    -0.54
    ensional
    -0.54
    /+
    -0.54
    POSITIVE LOGITS
    *,
    0.98
    ,
    0.83
     QC
    0.82
    ?,
    0.81
    !,
    0.78
     Jr
    0.76
     ,
    0.75
     Sr
    0.75
    ,,
    0.74
    ,...
    0.70
    Activations Density 0.305%

    No Known Activations