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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 10948
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    Explanations

    words related to medical conditions and health issues, specifically focusing on symptoms, treatments, and outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to health crises and medical emergencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unison
    -0.81
     yourselves
    -0.80
     apiece
    -0.73
     Their
    -0.69
    arity
    -0.65
     seeded
    -0.65
    their
    -0.65
    ahime
    -0.64
     Massacre
    -0.63
     merger
    -0.62
    POSITIVE LOGITS
     medication
    1.13
     medications
    1.03
     himself
    0.97
     herself
    0.89
     his
    0.89
     therapy
    0.84
     chemotherapy
    0.84
     hallucinations
    0.82
     belongings
    0.82
     medicines
    0.81
    Activations Density 0.529%

    No Known Activations