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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. 20712
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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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    Negative Logits
    efe
    -0.70
     shake
    -0.68
     negotiate
    -0.68
    usterity
    -0.63
     Constantin
    -0.62
    hr
    -0.61
    elight
    -0.61
    rake
    -0.60
    union
    -0.60
    raid
    -0.59
    POSITIVE LOGITS
    SPONSORED
    0.83
    mentioned
    0.81
    amples
    0.75
    ILA
    0.72
    alist
    0.71
    doi
    0.70
    lined
    0.67
    criptions
    0.64
    vantage
    0.63
    ////////////////////////////////
    0.63
    Activations Density 0.000%

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