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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. 3-RES-JB
    6. 11145
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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
    Not in Any Lists

    No Comments

    Negative Logits
     confir
    -0.86
    >)
    -0.75
    inished
    -0.74
    >]
    -0.73
    ngth
    -0.73
    uters
    -0.73
    urry
    -0.71
     facult
    -0.70
    ONT
    -0.70
    aunder
    -0.70
    POSITIVE LOGITS
     Lama
    0.79
     Lomb
    0.75
     Judd
    0.71
     Dawn
    0.71
     Mari
    0.69
     Jol
    0.68
    stage
    0.68
    Äĩ
    0.68
    vati
    0.67
     Vas
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.