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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. 17101
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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
    Negative Logits
    orld
    -0.80
    ewitness
    -0.79
    leground
    -0.77
    cedented
    -0.77
    iasco
    -0.77
    isse
    -0.76
    ocaust
    -0.75
    orthy
    -0.75
    ateurs
    -0.74
    anooga
    -0.72
    POSITIVE LOGITS
     sen
    0.63
    cul
    0.61
     Commissioners
    0.60
    div
    0.60
     Immunity
    0.60
    Rep
    0.60
     Associ
    0.59
    Jul
    0.58
    stra
    0.58
     Reps
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.