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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. 10094
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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
    Not in Any Lists

    No Comments

    Negative Logits
    helm
    -0.75
    waters
    -0.74
    Ware
    -0.72
    belt
    -0.69
    comfort
    -0.65
    forth
    -0.65
    yna
    -0.65
    stress
    -0.63
    ependent
    -0.63
    pherd
    -0.63
    POSITIVE LOGITS
     seconds
    1.30
    seconds
    0.88
     Seconds
    0.78
     @@
    0.77
    ROR
    0.77
     milliseconds
    0.75
    Ĵ
    0.74
    displayText
    0.74
    */(
    0.73
     msec
    0.72
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.