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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. 217
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    Explanations

    terms related to specific entities or phrases, such as "Capitol," "tongue," "John Bolton," "WM load," "public police," "steel," and "Latin."

    oai_token-act-pair · gpt-3.5-turbo

    specific terms and concepts related to societal issues and conditions

    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
    ymm
    -0.62
     Adren
    -0.62
    idth
    -0.60
    xtap
    -0.60
    raw
    -0.58
    oola
    -0.57
    haw
    -0.56
    bris
    -0.56
    ortium
    -0.55
    arij
    -0.55
    POSITIVE LOGITS
     itself
    0.72
     herself
    0.72
     himself
    0.66
     Himself
    0.66
     oneself
    0.60
     ourselves
    0.58
     altogether
    0.57
    .[
    0.56
     yourself
    0.56
     phenotype
    0.55
    Activations Density 0.756%

    No Known Activations