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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. 7179
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    Explanations

    mentions of medical diagnoses, especially related to serious conditions like cancer and dementia, in the text

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to medical diagnoses and health 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
    soDeliveryDate
    -1.11
    soType
    -0.87
    displayText
    -0.83
    DragonMagazine
    -0.81
    Tokens
    -0.79
    Lago
    -0.78
    isSpecialOrderable
    -0.78
    Reviewer
    -0.78
    mails
    -0.76
    itures
    -0.76
    POSITIVE LOGITS
     dys
    1.38
     disease
    1.36
     diabetes
    1.33
     chronic
    1.32
     epilepsy
    1.32
     depression
    1.32
     dementia
    1.32
     schizophrenia
    1.29
     Alzheimer
    1.28
     illness
    1.28
    Activations Density 0.231%

    No Known Activations