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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. 11-RES-JB
    6. 7267
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    Explanations

    phrases indicating personal opinions or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    questions directed at an audience or expressions of uncertainty regarding opinions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alore
    -0.67
     Guests
    -0.63
    oga
    -0.60
     Wonderful
    -0.58
    onday
    -0.56
    dyl
    -0.54
     guests
    -0.53
    photos
    -0.53
    aceae
    -0.53
    dimension
    -0.53
    POSITIVE LOGITS
    isSpecialOrderable
    0.60
    ctory
    0.56
    rx
    0.55
    ï¸ı
    0.55
    retty
    0.53
    reads
    0.53
    plin
    0.53
    ription
    0.51
    metic
    0.51
    vu
    0.50
    Activations Density 0.193%

    No Known Activations