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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. 5-RES-JB
    6. 7827
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    Explanations

    health-related terms and medical concepts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health statistics and medical assessments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yrights
    -0.85
    ouver
    -0.84
    oil
    -0.81
    pload
    -0.80
    atron
    -0.80
    aunder
    -0.79
    assetsadobe
    -0.75
    Artist
    -0.75
    Unix
    -0.74
     Bounce
    -0.74
    POSITIVE LOGITS
     clinical
    1.24
     cardiovascular
    1.24
     psychiatric
    1.19
     coronary
    1.16
     maternal
    1.13
     clinically
    1.13
     obesity
    1.12
     dementia
    1.11
     medication
    1.10
     diabetes
    1.10
    Activations Density 0.413%

    No Known Activations