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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. 1-RES-JB
    6. 12120
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wana
    -0.78
    ecast
    -0.76
    elaide
    -0.72
    league
    -0.70
    bery
    -0.69
    ventus
    -0.67
    artifacts
    -0.67
    inance
    -0.66
     livest
    -0.65
    orno
    -0.65
    POSITIVE LOGITS
    kson
    0.68
    spin
    0.67
     tune
    0.63
    ãĤ¼
    0.63
    -$
    0.63
    Laughs
    0.63
    felt
    0.61
    meier
    0.61
     hinges
    0.61
    kell
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.