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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. 4-RES-JB
    11. 11185
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cler
    -0.69
    omical
    -0.68
     Khe
    -0.65
     mater
    -0.64
    ãĤ´ãĥ³
    -0.64
    zag
    -0.63
     amen
    -0.63
    Joined
    -0.61
     grievance
    -0.61
     jur
    -0.60
    POSITIVE LOGITS
     Dust
    0.72
    pps
    0.64
    oops
    0.63
    ajor
    0.59
    Phase
    0.59
    dimensional
    0.58
     Indies
    0.58
    ricanes
    0.58
    Tokens
    0.56
    ãĤ§
    0.56
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.