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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. 1005
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    Explanations

    legal and law-related terms, specifically focusing on attorneys and lawyers

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal professionals and their roles

    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
    rising
    -0.67
     oneself
    -0.64
     relevant
    -0.62
    Bound
    -0.57
    ridges
    -0.57
    fitting
    -0.57
    bleacher
    -0.56
    uchin
    -0.56
    ankind
    -0.56
     bottleneck
    -0.56
    POSITIVE LOGITS
     Theo
    0.85
     Huma
    0.83
     Ian
    0.81
     Peter
    0.81
     Marty
    0.80
     Andrea
    0.80
     Tobias
    0.78
     Stephanie
    0.78
     insists
    0.78
     Sarah
    0.77
    Activations Density 0.248%

    No Known Activations