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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. 4941
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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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    Negative Logits
     dstg
    -0.74
     heats
    -0.68
    arij
    -0.67
    REL
    -0.67
    ++++
    -0.64
     halftime
    -0.61
    urion
    -0.60
     irrad
    -0.60
     Centauri
    -0.59
    én
    -0.59
    POSITIVE LOGITS
    ocument
    0.73
    ictionary
    0.65
    istine
    0.65
    mble
    0.63
    chio
    0.63
    naissance
    0.62
    sers
    0.61
    ILY
    0.60
    etti
    0.60
     describ
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.