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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. 13077
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    INDEX
    Explanations

    medical and health-related terms, particularly focusing on risk factors and predictors of health outcomes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to risk factors and variables affecting health and outcomes

    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
    kos
    -0.74
     wonders
    -0.71
    Wind
    -0.70
    yrights
    -0.70
    >>>>>>>>
    -0.68
     rack
    -0.67
    ãĥ¥
    -0.66
    ansk
    -0.66
     Coffin
    -0.65
     dime
    -0.65
    POSITIVE LOGITS
    ivariate
    0.92
     Participants
    0.91
     biomark
    0.88
     covari
    0.88
     clinically
    0.87
     Intervention
    0.84
     obese
    0.84
     psychosis
    0.81
     BMI
    0.80
    measures
    0.80
    Activations Density 0.115%

    No Known Activations