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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. 3285
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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
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    No Comments

    Negative Logits
     Herm
    -0.72
     Pose
    -0.71
     ende
    -0.69
     Meadows
    -0.67
     Lear
    -0.67
     trave
    -0.67
    sembly
    -0.65
     Debor
    -0.64
     Quentin
    -0.64
    worldly
    -0.63
    POSITIVE LOGITS
    ãĥķãĤ©
    0.89
    andowski
    0.79
    Override
    0.75
    ãĥĦ
    0.75
    sr
    0.73
    ĨĴ
    0.73
    haven
    0.72
    ãĤ¼
    0.72
    vir
    0.71
    Factor
    0.71
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.