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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. 18331
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    Explanations

    terms related to medical complications and health issues

    oai_token-act-pair · gpt-3.5-turbo

    terms related to medical complications

    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
    bors
    -0.92
    ership
    -0.80
    berman
    -0.80
    liam
    -0.78
    amaru
    -0.77
    ritch
    -0.76
    este
    -0.75
    erness
    -0.74
    bern
    -0.74
    entin
    -0.73
    POSITIVE LOGITS
     complications
    1.12
     complication
    0.98
     ens
    0.77
     headaches
    0.74
    ilial
    0.73
     inconven
    0.71
     disse
    0.70
    èĢħ
    0.70
     arise
    0.70
     arising
    0.70
    Activations Density 0.013%

    No Known Activations