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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. 1108
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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
    ples
    -0.74
     bets
    -0.69
     destro
    -0.69
    gra
    -0.67
    apes
    -0.66
    grave
    -0.66
     oranges
    -0.65
    orius
    -0.64
    aunts
    -0.64
     gamble
    -0.63
    POSITIVE LOGITS
    OND
    0.74
    LAN
    0.71
    CTV
    0.71
    METHOD
    0.70
    ĪĴ
    0.70
    irlf
    0.69
    PLIC
    0.67
    GW
    0.67
    ICA
    0.67
     robust
    0.66
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.