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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. 3-RES-JB
    11. 4975
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    INDEX
    Explanations

    medical conditions and their related terms such as specific disorders and medications

    oai_token-act-pair · gpt-3.5-turbo

    terms related to mental health disorders

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Spectre
    -0.80
    Priv
    -0.80
    arium
    -0.77
     appropriated
    -0.76
     slic
    -0.72
    urrection
    -0.71
     drilled
    -0.70
    ée
    -0.69
    IDER
    -0.68
    xp
    -0.68
    POSITIVE LOGITS
    ipolar
    0.97
     bipolar
    0.94
     disorder
    0.93
     Disorder
    0.87
     Disorders
    0.80
     Mood
    0.79
    inson
    0.77
     Parkinson
    0.76
    sych
    0.70
    uate
    0.70
    Activations Density 0.025%

    No Known Activations