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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. 8401
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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
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    No Comments

    Negative Logits
    acid
    -0.67
    vironment
    -0.66
    wake
    -0.65
     aging
    -0.64
    utral
    -0.64
     discriminating
    -0.63
     Noir
    -0.63
     guiActive
    -0.63
    ocide
    -0.63
    aceous
    -0.62
    POSITIVE LOGITS
    ³³³
    0.78
    Vel
    0.74
    Ts
    0.73
    cz
    0.70
    mons
    0.69
    olves
    0.69
    Ä
    0.67
    ↵Âł
    0.67
    tl
    0.67
     âĹı
    0.67
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.