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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. 7-RES-JB
    6. 2501
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    peak
    -0.85
    alth
    -0.78
    nces
    -0.76
    Others
    -0.74
    Strength
    -0.73
    bol
    -0.72
    kefeller
    -0.72
    ãĤ¼ãĤ¦ãĤ¹
    -0.71
    inki
    -0.71
     acron
    -0.68
    POSITIVE LOGITS
     unconstitutional
    1.09
     jury
    0.97
     Proposition
    0.96
     plaintiff
    0.94
     defendant
    0.94
     convict
    0.93
     appellate
    0.91
     defendants
    0.90
     plaintiffs
    0.90
     statute
    0.88
    Activations Density 0.387%

    No Known Activations