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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. 3-RES-JB
    11. 17117
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    oft
    -0.79
    visual
    -0.73
    grim
    -0.69
    ogram
    -0.69
    iates
    -0.68
     Vag
    -0.67
    erion
    -0.67
    ials
    -0.66
    iation
    -0.66
     Unic
    -0.65
    POSITIVE LOGITS
     loopholes
    0.76
     Cosponsors
    0.71
    inventoryQuantity
    0.71
    @#&
    0.71
     disrupting
    0.70
     loyalty
    0.69
     safeguards
    0.67
    AFP
    0.66
    aucus
    0.66
     hur
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.