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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. 24453
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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
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    Negative Logits
    jong
    -0.87
    jri
    -0.85
    uggish
    -0.79
    rought
    -0.73
    aghd
    -0.73
    verages
    -0.73
    illery
    -0.73
    issance
    -0.71
    earch
    -0.71
    krit
    -0.70
    POSITIVE LOGITS
     terminals
    0.69
    urations
    0.64
     microphones
    0.63
     kisses
    0.61
     Kus
    0.59
    azines
    0.59
     parting
    0.57
     footing
    0.56
     peanuts
    0.56
     Amin
    0.55
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.