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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. 1467
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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
    orical
    -0.75
    otte
    -0.72
    entials
    -0.70
    otes
    -0.68
    stadt
    -0.65
    Stud
    -0.64
    itant
    -0.63
    estones
    -0.63
    erest
    -0.63
    Chel
    -0.63
    POSITIVE LOGITS
    inker
    0.74
     playback
    0.66
     resp
    0.64
     divers
    0.63
     combustion
    0.63
     recomp
    0.62
     bitten
    0.62
    rane
    0.62
     compr
    0.62
     experien
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.