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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. 3441
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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
    nect
    -0.70
     challeng
    -0.70
     mentors
    -0.69
     skelet
    -0.68
     nomine
    -0.66
     arri
    -0.66
     doomed
    -0.65
    successfully
    -0.65
     enduring
    -0.64
     diplom
    -0.64
    POSITIVE LOGITS
    alty
    0.84
    APD
    0.81
    cery
    0.77
    oidal
    0.75
    pex
    0.70
    acters
    0.70
    acies
    0.69
     coli
    0.69
    Charges
    0.67
    iasis
    0.67
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.