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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. 8348
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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
    timer
    -0.72
    coin
    -0.71
     Lutheran
    -0.70
    lander
    -0.66
     differe
    -0.65
    brew
    -0.65
     shorth
    -0.64
    eas
    -0.62
    bench
    -0.61
    pass
    -0.60
    POSITIVE LOGITS
    VERTIS
    0.89
    ailable
    0.78
    bernatorial
    0.73
    RANT
    0.71
    MIC
    0.70
    outheast
    0.70
    OME
    0.70
     Dong
    0.69
    utra
    0.69
    illo
    0.68
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.