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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. 10-RES-JB
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    references to articles of clothing

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    JV
    -0.74
    odcast
    -0.71
     Kern
    -0.70
    £ı
    -0.69
    rase
    -0.67
    ouston
    -0.64
    ascal
    -0.63
    utherford
    -0.62
    umar
    -0.62
    ETHOD
    -0.61
    POSITIVE LOGITS
     worn
    1.27
    pins
    1.20
     wearer
    1.13
     apparel
    1.07
     garments
    1.01
     trousers
    0.99
     fabrics
    0.98
     clothing
    0.98
     straps
    0.97
    bags
    0.97
    Activations Density 0.061%

    No Known Activations