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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 18988
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    Explanations

    terms related to scientific experiments, medical studies, and control groups

    oai_token-act-pair · gpt-3.5-turbo

    terms related to experimental controls and study methodologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tra
    -0.68
    Cache
    -0.63
    ãĥķãĤ©
    -0.63
     Views
    -0.62
    Politics
    -0.62
    Leod
    -0.62
     regrets
    -0.62
    uti
    -0.62
    é»Ĵ
    -0.61
    bolt
    -0.60
    POSITIVE LOGITS
     Experiment
    0.98
     mice
    0.97
     serum
    0.97
     baseline
    0.95
     laboratory
    0.92
     experimental
    0.90
     trials
    0.89
    otype
    0.88
     Trial
    0.85
     placebo
    0.85
    Activations Density 0.179%

    No Known Activations