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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. 3041
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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
    ãĤ¡
    -0.87
    enegger
    -0.76
     nomine
    -0.68
    igan
    -0.68
    \\\\\\\\
    -0.68
     Categories
    -0.67
     Osw
    -0.67
     Reloaded
    -0.67
     Builder
    -0.64
    abl
    -0.63
    POSITIVE LOGITS
    athi
    0.70
    tu
    0.63
    Kin
    0.62
    aye
    0.62
     ponds
    0.60
    ravel
    0.60
    emetery
    0.60
    iHUD
    0.60
    ALE
    0.59
    orial
    0.59
    Activations Density 0.000%

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