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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. 10638
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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
    jriwal
    -0.71
    pill
    -0.71
    oglu
    -0.70
    kus
    -0.68
    istries
    -0.68
    agra
    -0.68
    ignty
    -0.67
    merce
    -0.66
    estamp
    -0.66
    hammad
    -0.66
    POSITIVE LOGITS
    oret
    0.70
    aic
    0.68
    RESULTS
    0.67
     Frequency
    0.63
    ULAR
    0.62
     misconception
    0.62
    APS
    0.61
    RH
    0.61
     LAPD
    0.61
    ROR
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.