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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. 9-RES-JB
    11. 18021
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    Explanations

    references to clothing and dressing

    oai_token-act-pair · gpt-3.5-turbo

    references to clothing and related garments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umar
    -0.82
    mary
    -0.68
    rase
    -0.68
     Kern
    -0.67
    aminer
    -0.65
    JV
    -0.64
    ignty
    -0.64
    AMY
    -0.64
    amily
    -0.64
    thouse
    -0.63
    POSITIVE LOGITS
    pins
    1.20
     worn
    1.06
    lines
    0.95
     wearer
    0.93
    bag
    0.91
    bags
    0.90
     apparel
    0.90
     garments
    0.90
     fabrics
    0.88
     clothing
    0.88
    Activations Density 0.055%

    No Known Activations