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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. 23200
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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
    ango
    -0.89
    pered
    -0.76
    uter
    -0.73
    eller
    -0.73
    chenko
    -0.71
    chen
    -0.70
    chool
    -0.69
    eling
    -0.68
    criptions
    -0.68
    quez
    -0.68
    POSITIVE LOGITS
    nces
    0.71
     resil
    0.70
     shr
    0.69
     exting
    0.67
     Zan
    0.67
     lod
    0.66
     detach
    0.66
     unpop
    0.65
     culmin
    0.65
     brim
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.