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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. 0-RES-JB
    11. 5363
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anmar
    -0.78
     Arist
    -0.68
     pursu
    -0.64
     measurement
    -0.62
     Yuan
    -0.60
     cou
    -0.60
    hetamine
    -0.60
     focal
    -0.60
     approximation
    -0.60
     Caval
    -0.60
    POSITIVE LOGITS
    rets
    1.02
    plet
    0.85
    ifax
    0.74
    RET
    0.73
     guid
    0.72
    ickr
    0.71
    bern
    0.70
    porary
    0.69
    yna
    0.69
    UFF
    0.68
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.