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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. 10-RES-JB
    6. 16888
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    INDEX
    Explanations

    names of universities and colleges

    oai_token-act-pair · gpt-3.5-turbo

    names of educational institutions and colleges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    conservancy
    -0.90
     teasp
    -0.83
     answ
    -0.81
     conclud
    -0.81
     tremend
    -0.81
    cffff
    -0.77
    itionally
    -0.75
    .")
    -0.74
    ilogy
    -0.73
    ologically
    -0.71
    POSITIVE LOGITS
     Various
    1.19
     Miscellaneous
    1.19
     ----------------------------------------------------------------
    0.97
     âĵĺ
    0.96
     Competitive
    0.90
     Generic
    0.89
     Other
    0.88
     Fem
    0.87
     Annotations
    0.86
     Paras
    0.86
    Activations Density 0.158%

    No Known Activations