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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. 18169
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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
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    Negative Logits
    vas
    -0.89
    ubuntu
    -0.84
    ourney
    -0.83
    marine
    -0.80
    avan
    -0.78
    pent
    -0.78
    rouse
    -0.76
    ravel
    -0.74
    pour
    -0.73
    nc
    -0.73
    POSITIVE LOGITS
     contingent
    0.65
    ãĤ©
    0.64
     mascul
    0.64
     amen
    0.63
     resurg
    0.63
    atinum
    0.63
     contingency
    0.62
     lax
    0.61
     benef
    0.60
     credited
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.