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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. 5-RES-JB
    6. 19697
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    Explanations

    terms related to aesthetics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to aesthetic qualities and visual appeal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    woods
    -0.76
    etime
    -0.75
    house
    -0.74
    doms
    -0.73
    king
    -0.70
    atchewan
    -0.69
    tower
    -0.69
    quist
    -0.68
    coming
    -0.68
    stood
    -0.68
    POSITIVE LOGITS
     sensibilities
    0.99
     aesthetic
    0.98
     aesthetics
    0.83
     Pwr
    0.81
    hetically
    0.77
    atically
    0.76
     tastes
    0.74
     preferences
    0.73
     sophistication
    0.73
     choices
    0.72
    Activations Density 0.028%

    No Known Activations