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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. 0-RES-JB
    11. 12240
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anooga
    -0.90
    anship
    -0.80
    miah
    -0.77
    ARDIS
    -0.73
    orial
    -0.68
    pload
    -0.67
    aun
    -0.63
     fatigue
    -0.61
    xual
    -0.60
    vernment
    -0.60
    POSITIVE LOGITS
    velength
    0.69
    rive
    0.66
    ãĤ¹ãĥĪ
    0.63
    rams
    0.62
    markets
    0.62
    00007
    0.60
    rast
    0.60
    ãĤ´ãĥ³
    0.59
    Tips
    0.58
     Wings
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.