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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. 74
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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
    azel
    -0.68
    ESCO
    -0.66
    LIST
    -0.63
    ALE
    -0.62
     commend
    -0.61
    hedral
    -0.61
     tradem
    -0.60
    WOOD
    -0.60
     intrins
    -0.59
    iths
    -0.58
    POSITIVE LOGITS
     Sorce
    0.65
    peror
    0.64
    icides
    0.64
     Chem
    0.63
    ology
    0.62
    lihood
    0.62
    },{"
    0.62
     Bleach
    0.61
    liest
    0.61
    eking
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.