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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. 0-RES-JB
    6. 17193
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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
    zees
    -0.87
     Yamato
    -0.78
    zee
    -0.77
    obo
    -0.74
    rising
    -0.68
    rored
    -0.64
    obal
    -0.64
    zu
    -0.63
    unks
    -0.62
    esides
    -0.62
    POSITIVE LOGITS
     EPA
    0.81
    tml
    0.76
    è£ħ
    0.68
    paste
    0.64
     PLA
    0.63
    ÃĽ
    0.63
     CONT
    0.60
     Commodore
    0.60
     coli
    0.59
     spray
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.