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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. 16957
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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
     fore
    -0.77
     pend
    -0.72
     facet
    -0.72
     bearer
    -0.68
     underestimated
    -0.67
     meas
    -0.67
     shortened
    -0.67
     unintended
    -0.67
     snowball
    -0.65
     trademark
    -0.65
    POSITIVE LOGITS
    uality
    0.79
    ARI
    0.77
    ZI
    0.75
    arnaev
    0.72
    JA
    0.71
    HF
    0.71
    aucus
    0.70
     Ago
    0.70
     dstg
    0.69
    iatrics
    0.69
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.