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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. 3-RES-JB
    11. 21275
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    INDEX
    Explanations

    examiners, particularly with the term "Examiner" having the highest activation

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific publication or position related to medical examinations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eworld
    -0.80
    tackle
    -0.79
    rol
    -0.75
     Gaw
    -0.74
    deals
    -0.72
    rams
    -0.71
    ulatory
    -0.69
    emb
    -0.68
    catentry
    -0.68
    rodu
    -0.68
    POSITIVE LOGITS
     Examiner
    1.19
     resil
    0.79
    aminer
    0.78
     intrins
    0.75
    isite
    0.68
     Reno
    0.68
     examiner
    0.65
    ISO
    0.64
    inary
    0.63
     expire
    0.62
    Activations Density 0.013%

    No Known Activations