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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. 15599
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    Explanations

    words related to medical conditions and treatments, specifically focusing on medications and compounds

    oai_token-act-pair · gpt-3.5-turbo

    terms related to medical or biological conditions and infections

    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
    sets
    -0.71
    OWS
    -0.68
     laureate
    -0.67
    endered
    -0.65
    changed
    -0.64
    ogo
    -0.64
    Offline
    -0.63
    falls
    -0.63
    arations
    -0.63
     Grants
    -0.63
    POSITIVE LOGITS
    mone
    1.41
     coli
    0.98
     intolerance
    0.86
     allergy
    0.83
    xon
    0.81
     poisoning
    0.80
    hyde
    0.77
     bacteria
    0.76
    pora
    0.74
     intoler
    0.74
    Activations Density 0.030%

    No Known Activations