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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. 12883
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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
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    No Comments

    Negative Logits
    anguage
    -0.81
    iphate
    -0.78
    ufact
    -0.76
    tered
    -0.66
    phas
    -0.65
    uer
    -0.65
    plet
    -0.63
    dress
    -0.63
     Granger
    -0.62
     onwards
    -0.61
    POSITIVE LOGITS
    Pres
    0.66
    Others
    0.63
    Bern
    0.63
    Tx
    0.62
    Asked
    0.62
    Sensor
    0.61
    Topic
    0.61
     bidding
    0.61
    Job
    0.60
    CHAT
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.