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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. 4-RES-JB
    6. 10760
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    lain
    -0.70
     DF
    -0.70
     Serpent
    -0.70
    ription
    -0.68
     Ri
    -0.66
     RL
    -0.64
     Nex
    -0.64
     moder
    -0.63
     Conduct
    -0.62
     marqu
    -0.62
    POSITIVE LOGITS
    apolis
    0.72
    racist
    0.70
    HER
    0.69
    avery
    0.68
    WB
    0.68
    unning
    0.68
    Connor
    0.66
    Flying
    0.66
    Berry
    0.66
    hiro
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.