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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. 4-RES-JB
    11. 2685
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    bling
    -0.75
    ogly
    -0.73
    ech
    -0.73
    inders
    -0.72
    ecast
    -0.68
    hower
    -0.66
     1860
    -0.65
     hill
    -0.65
    braska
    -0.64
     explan
    -0.63
    POSITIVE LOGITS
    ANA
    0.74
    ynthesis
    0.70
    ynt
    0.69
    alyst
    0.68
    dot
    0.63
    imir
    0.62
    arin
    0.61
     cataly
    0.60
    atom
    0.60
    etsk
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.