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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. 9-RES-JB
    11. 18628
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    Explanations

    phrases related to health conditions, risks, prevention, and associated factors

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health risks and their associations with various conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pus
    -0.70
    vine
    -0.69
    oros
    -0.68
    ourcing
    -0.66
     Canaver
    -0.65
    kos
    -0.64
    selage
    -0.63
    htaking
    -0.63
     scoop
    -0.63
     vetoed
    -0.62
    POSITIVE LOGITS
     outcomes
    1.03
     phenotype
    0.88
     behaviours
    0.87
     behaviors
    0.87
     mell
    0.86
     cardiovascular
    0.85
    thood
    0.85
     biomark
    0.84
     mortality
    0.84
     progression
    0.83
    Activations Density 0.264%

    No Known Activations