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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 13819
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    INDEX
    Explanations

    mentions of scientists, research projects, and laboratories

    oai_token-act-pair · gpt-3.5-turbo

    references to scientific research and institutional involvement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é»Ĵ
    -1.07
    ifest
    -0.81
    ij士
    -0.80
    Ļ½
    -0.79
    yip
    -0.79
    iquette
    -0.78
    resent
    -0.74
    姫
    -0.71
     Strongh
    -0.71
    ħĭ
    -0.70
    POSITIVE LOGITS
     research
    1.81
     labs
    1.79
     laboratories
    1.76
     NIH
    1.76
     scientists
    1.73
     researchers
    1.72
     experiments
    1.67
     laboratory
    1.67
     scientific
    1.65
     biomedical
    1.59
    Activations Density 0.586%

    No Known Activations