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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. 4220
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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
    Not in Any Lists

    No Comments

    Negative Logits
    alin
    -0.76
    atches
    -0.70
    uga
    -0.70
    hang
    -0.67
    pread
    -0.67
    ometimes
    -0.66
    translation
    -0.65
    acebook
    -0.65
    hack
    -0.65
     Rouge
    -0.65
    POSITIVE LOGITS
    Environment
    0.73
    zona
    0.71
     neighb
    0.66
     APPLIC
    0.65
    SourceFile
    0.65
    viron
    0.64
     SHAR
    0.62
    LCS
    0.59
    ³³³³³³³³
    0.58
     encount
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.