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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 13890
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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
     Stras
    -0.76
    ravel
    -0.71
     BOX
    -0.67
     Coffin
    -0.63
     Canaver
    -0.63
    Ī
    -0.63
    Ń·
    -0.63
     Fernand
    -0.62
     compar
    -0.62
     Ferdinand
    -0.60
    POSITIVE LOGITS
    lah
    0.76
    Temp
    0.65
    âĵĺ
    0.65
    ixed
    0.65
    icut
    0.65
    ratulations
    0.64
    lations
    0.64
    otics
    0.63
    alties
    0.63
    oud
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.