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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. 8870
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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
    etheless
    -0.88
     Paraly
    -0.79
     Forth
    -0.77
    conn
    -0.69
     deflect
    -0.66
     DPR
    -0.65
     reefs
    -0.64
     swearing
    -0.62
    naissance
    -0.61
    selves
    -0.61
    POSITIVE LOGITS
    ertodd
    0.79
    ikh
    0.79
    quished
    0.76
    zz
    0.73
    avascript
    0.73
    aleb
    0.67
    uid
    0.66
    yah
    0.66
    zx
    0.65
    icky
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.