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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. 2-RES-JB
    6. 3355
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    INDEX
    Explanations

    words related to standard or usual things, particularly when used within a comparison or describing something

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "typical" as it relates to various subjects or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Starship
    -0.77
    heed
    -0.76
    nuts
    -0.72
    hips
    -0.70
    hani
    -0.69
    ole
    -0.66
    robe
    -0.65
    aska
    -0.63
    hung
    -0.63
    han
    -0.62
    POSITIVE LOGITS
    typ
    0.77
     embodiments
    0.75
     deviations
    0.75
     occurrences
    0.71
    CRIPTION
    0.71
     deviation
    0.70
     typical
    0.70
     depictions
    0.69
    uously
    0.67
     weekday
    0.66
    Activations Density 0.016%

    No Known Activations