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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. 10866
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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
    OPA
    -0.78
     Kuh
    -0.67
    ////////
    -0.66
     Matter
    -0.64
     Kiw
    -0.63
     MSG
    -0.62
     Antar
    -0.61
     Ples
    -0.60
    kk
    -0.59
    GG
    -0.59
    POSITIVE LOGITS
    ricular
    0.78
    vation
    0.76
    bol
    0.74
    letter
    0.70
     interviewer
    0.67
     Rescue
    0.66
    rue
    0.62
    agonists
    0.62
    amount
    0.61
     initials
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.