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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. 15369
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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
    ophile
    -0.79
    oths
    -0.78
    omorphic
    -0.71
    ovie
    -0.71
    laus
    -0.71
    opoly
    -0.70
    opol
    -0.67
    uits
    -0.67
    arov
    -0.66
    haps
    -0.66
    POSITIVE LOGITS
     rejection
    0.73
    SourceFile
    0.72
     nausea
    0.65
     McA
    0.64
    rast
    0.62
     abdom
    0.62
     amplification
    0.62
    nce
    0.60
     expectation
    0.60
    ãĤ¼ãĤ¦ãĤ¹
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.