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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. 8-RES-JB
    11. 9818
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    Explanations

    medical conditions and diagnoses related to different health issues, including cancer, leukemia, dementia, depression, and various other illnesses

    oai_token-act-pair · gpt-3.5-turbo

    medical diagnoses and associated health conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -1.13
    DragonMagazine
    -0.84
    xtap
    -0.76
    isSpecialOrderable
    -0.75
     Holder
    -0.74
    displayText
    -0.74
    iquette
    -0.74
    Lago
    -0.73
    Reviewer
    -0.71
    advertising
    -0.71
    POSITIVE LOGITS
     pneumonia
    1.56
     tuberculosis
    1.45
     dementia
    1.45
     disease
    1.45
     dys
    1.43
     leukemia
    1.42
     illness
    1.42
     cancer
    1.40
     sclerosis
    1.38
     arthritis
    1.35
    Activations Density 0.506%

    No Known Activations