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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. 10-RES-JB
    6. 8767
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    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
     Tasman
    -0.65
    creen
    -0.64
    erous
    -0.64
     Reprodu
    -0.63
    yip
    -0.63
     Leilan
    -0.62
    eer
    -0.62
     Catalyst
    -0.61
     Laurent
    -0.61
     Telephone
    -0.60
    POSITIVE LOGITS
    IJ
    1.44
    ij
    1.40
    Ĵ
    1.36
    ł
    1.30
    ª
    1.27
    ı
    1.25
    ĸ
    1.17
    Ķ
    1.12
    ĵ
    1.09
    ¹
    1.09
    Activations Density 0.109%

    No Known Activations