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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 11863
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     innocence
    -0.67
     boun
    -0.65
    comings
    -0.64
     grain
    -0.64
     few
    -0.62
    ividual
    -0.62
     condensed
    -0.61
     constants
    -0.60
     fug
    -0.59
     enriched
    -0.59
    POSITIVE LOGITS
    Introduced
    0.86
    LOCK
    0.79
    exclusive
    0.79
    nesota
    0.77
    Sec
    0.76
    fac
    0.76
     Methodist
    0.70
    inka
    0.69
    join
    0.68
     =================================================================
    0.68
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.