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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. 1-RES-JB
    11. 11359
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     redund
    -0.74
     cohorts
    -0.70
    igers
    -0.69
     agre
    -0.68
     layoffs
    -0.67
     rosters
    -0.65
    ramer
    -0.64
     maternity
    -0.64
     paternity
    -0.63
     infiltrated
    -0.62
    POSITIVE LOGITS
    \":
    0.80
    dx
    0.75
    imb
    0.73
    âĶĢâĶĢ
    0.72
    pport
    0.70
    displayText
    0.69
    ============
    0.66
    wat
    0.66
    Lago
    0.66
    jj
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.