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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. 2525
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    Explanations

    news-related words such as "reported," "first," "learned," and "confirmed."

    oai_token-act-pair · gpt-3.5-turbo
    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
     charismatic
    -0.67
     erg
    -0.67
     charisma
    -0.65
     motivational
    -0.65
     rejuven
    -0.64
     utilitarian
    -0.64
    Generic
    -0.62
     Ãľ
    -0.61
     alienation
    -0.60
     lava
    -0.59
    POSITIVE LOGITS
     Coverage
    0.95
     reporter
    0.85
     reporting
    0.84
     editorial
    0.83
     coverage
    0.82
     Investigative
    0.82
     reporters
    0.81
    antage
    0.81
    ortium
    0.80
     contacted
    0.79
    Activations Density 0.286%

    No Known Activations