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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. 22975
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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
     rightfully
    -0.72
    oter
    -0.69
     inconsist
    -0.68
     plagiar
    -0.68
     autos
    -0.66
     aspire
    -0.65
     fairness
    -0.65
     stereotyp
    -0.65
     miscon
    -0.65
     costly
    -0.63
    POSITIVE LOGITS
    WARN
    0.80
     ESV
    0.75
    oro
    0.73
    SHARE
    0.70
    proof
    0.67
    HAM
    0.66
     Paddock
    0.66
     Sirius
    0.66
     GN
    0.65
    OME
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.