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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. 7-RES-JB
    11. 9650
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    Explanations

    mentions of different types of clothing items

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umar
    -0.84
    aminer
    -0.68
    JV
    -0.67
    rase
    -0.67
    odcast
    -0.67
    ĺħ
    -0.66
    thouse
    -0.65
    arios
    -0.64
    £ı
    -0.64
    imity
    -0.63
    POSITIVE LOGITS
     worn
    1.13
    pins
    1.06
     clothing
    1.01
     apparel
    0.99
     clothes
    0.97
     garments
    0.95
     sleeves
    0.95
    pee
    0.90
    leeve
    0.89
     trousers
    0.89
    Activations Density 0.030%

    No Known Activations