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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. 6-RES-JB
    11. 775
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    Explanations

    words related to health and medical conditions, particularly focusing on blood sugar, blood pressure, and cholesterol levels

    oai_token-act-pair · gpt-3.5-turbo

    terms related to blood sugar and blood pressure levels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Lens
    -0.77
    CAST
    -0.72
    ICA
    -0.70
    SN
    -0.70
    Lot
    -0.69
    sonian
    -0.69
    Crew
    -0.69
    umn
    -0.68
    kit
    -0.68
    cash
    -0.67
    POSITIVE LOGITS
     index
    0.92
     disorders
    0.89
     indexes
    0.84
     disorder
    0.83
     indices
    0.83
     responsiveness
    0.83
     impairment
    0.81
     cortisol
    0.80
     indicator
    0.79
     abnormalities
    0.79
    Activations Density 0.169%

    No Known Activations