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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. 17027
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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
    Negative Logits
    angelo
    -0.83
    Scot
    -0.80
    gary
    -0.72
    "}
    -0.72
    âĸº
    -0.69
    conservancy
    -0.68
    ï¸ı
    -0.66
    anton
    -0.64
     âĸł
    -0.63
    chester
    -0.63
    POSITIVE LOGITS
    runners
    0.67
    xp
    0.61
    atta
    0.59
    Alias
    0.59
    olla
    0.59
     Lego
    0.59
     Teg
    0.59
     café
    0.59
     buyers
    0.59
     defaults
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.