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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 7576
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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
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    Negative Logits
     Narc
    -0.76
     Anim
    -0.75
     Tactics
    -0.75
     Nights
    -0.71
    heit
    -0.69
    nance
    -0.65
     Civic
    -0.65
     Brotherhood
    -0.64
     anim
    -0.63
     Carib
    -0.63
    POSITIVE LOGITS
    rees
    0.83
    ̶
    0.81
    AFTA
    0.78
    olesterol
    0.71
    DI
    0.71
    apest
    0.70
    ALL
    0.68
    ugi
    0.68
    waukee
    0.68
    inventoryQuantity
    0.67
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.