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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. 0-RES-JB
    11. 436
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     IMAGES
    -0.77
     throttle
    -0.76
    ²¾
    -0.75
     torch
    -0.72
    Ī
    -0.71
    pps
    -0.71
     charge
    -0.70
     subp
    -0.68
    ives
    -0.66
    nir
    -0.65
    POSITIVE LOGITS
    Bonus
    0.77
     Skydragon
    0.72
     Hitman
    0.72
    Ven
    0.69
    bucks
    0.67
    intent
    0.65
     Hep
    0.62
     Allaah
    0.61
     Enlight
    0.61
     Mayhem
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.