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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. 3-RES-JB
    6. 14994
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     capacity
    -0.68
     experien
    -0.66
     misses
    -0.63
     omission
    -0.62
     coverage
    -0.61
     respect
    -0.60
     confir
    -0.59
    pps
    -0.57
     reception
    -0.57
     malf
    -0.57
    POSITIVE LOGITS
    sic
    0.78
    å§«
    0.76
    enture
    0.75
    Scroll
    0.73
    issors
    0.73
    rift
    0.73
    rub
    0.70
    0000000000000000
    0.70
    VERTISEMENT
    0.69
    SF
    0.67
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.