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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. 7-RES-JB
    11. 13625
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    Explanations

    high-ranking positions or titles, such as "Director", "Coach", "Owner", "Secretary", "Commissioner", or "CEO."

    oai_token-act-pair · gpt-3.5-turbo

    titles and roles of prominent individuals in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MpServer
    -0.98
    worldly
    -0.79
    thodox
    -0.78
    mere
    -0.76
    EStreamFrame
    -0.76
    nikov
    -0.75
    crew
    -0.75
    schild
    -0.72
    skill
    -0.72
    wives
    -0.72
    POSITIVE LOGITS
     David
    0.98
     Tim
    0.95
     Tony
    0.94
     Steve
    0.93
     George
    0.92
     Mitch
    0.92
     Andrew
    0.92
     Todd
    0.91
     Chuck
    0.91
     Abraham
    0.90
    Activations Density 0.169%

    No Known Activations