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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. 9487
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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
    oru
    -0.85
    vale
    -0.70
    çĶŁ
    -0.68
    ials
    -0.67
     Sergey
    -0.67
     psychiat
    -0.67
     Jace
    -0.67
    WAR
    -0.65
     Nebula
    -0.64
    士
    -0.62
    POSITIVE LOGITS
    ebin
    0.72
     courts
    0.67
    ulic
    0.64
     Tories
    0.63
     Bent
    0.62
    pen
    0.61
    brush
    0.61
     Tornado
    0.60
     neighbouring
    0.59
    tein
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.