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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. 20468
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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
     emphasis
    -0.71
    stakes
    -0.68
    ][/
    -0.68
    EStreamFrame
    -0.64
     harshly
    -0.63
     complicate
    -0.62
    acted
    -0.62
     conflic
    -0.62
    >]
    -0.61
    EStream
    -0.60
    POSITIVE LOGITS
    oly
    0.72
    mith
    0.68
    seys
    0.66
    lite
    0.66
    rake
    0.65
     ON
    0.65
     NEO
    0.63
    azz
    0.62
    ONS
    0.62
     Amin
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.