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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. 2-RES-JB
    11. 7621
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     econom
    -0.74
    writer
    -0.64
     expensive
    -0.64
     unconventional
    -0.61
     reasoning
    -0.59
     optimizing
    -0.58
     expecting
    -0.58
    wcs
    -0.58
     Endurance
    -0.57
    words
    -0.57
    POSITIVE LOGITS
    aunder
    0.82
    issance
    0.79
    arching
    0.72
    OSS
    0.72
    BUR
    0.72
    hap
    0.71
    orrow
    0.70
    emis
    0.70
    phies
    0.69
    thumbnails
    0.68
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.