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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. 9-RES-JB
    11. 8863
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    INDEX
    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and their roles or actions within a narrative

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shire
    -0.91
    emetery
    -0.85
    elligence
    -0.85
    llah
    -0.76
    alach
    -0.76
    undai
    -0.76
    tions
    -0.76
    dayName
    -0.74
    ilitation
    -0.74
    aleb
    -0.72
    POSITIVE LOGITS
     Marie
    0.95
     Michaels
    0.91
    Lyn
    0.89
    Anne
    0.88
     Simone
    0.88
     Leigh
    0.86
     Bella
    0.86
     Torres
    0.86
     Starr
    0.85
     Ryder
    0.85
    Activations Density 0.158%

    No Known Activations