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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. 0-RES-JB
    11. 1550
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æ©
    -0.74
     Parables
    -0.73
    Folder
    -0.72
    shift
    -0.71
    EVA
    -0.70
    forth
    -0.69
    sche
    -0.69
    otto
    -0.69
    resh
    -0.68
    hyde
    -0.68
    POSITIVE LOGITS
     Pau
    0.68
    arij
    0.66
     misled
    0.63
    amation
    0.63
    Gi
    0.63
    ignt
    0.63
     Pix
    0.62
     Ma
    0.62
    ophob
    0.61
    Ma
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.