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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. 20488
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    INDEX
    Explanations

    words related to medical conditions, symptoms, and health care, particularly emphasizing acute conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to acute conditions or urgent situations

    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
    wagen
    -0.84
    vous
    -0.79
    pherd
    -0.77
    ingen
    -0.75
    ships
    -0.74
    tz
    -0.73
    aughtered
    -0.71
    ertodd
    -0.70
    essee
    -0.69
    sung
    -0.68
    POSITIVE LOGITS
     acute
    0.84
     coronary
    0.82
     exacerb
    0.76
     poisoning
    0.75
    entimes
    0.74
     distress
    0.74
     eleph
    0.73
     minded
    0.72
     respiratory
    0.71
     epile
    0.71
    Activations Density 0.007%

    No Known Activations