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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. 10770
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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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    Negative Logits
     elig
    -0.68
     Typh
    -0.68
     symptoms
    -0.67
     siph
    -0.66
     metast
    -0.63
     ®
    -0.62
     symptom
    -0.62
    arthy
    -0.62
     expr
    -0.60
     potentially
    -0.60
    POSITIVE LOGITS
    tera
    0.81
    usha
    0.74
    stan
    0.70
    Hum
    0.70
    resist
    0.68
    rid
    0.67
    gradation
    0.67
    quished
    0.66
    nir
    0.65
    sett
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.