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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 18409
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    Explanations

    mentions of specific medical conditions such as cancer, heart attacks, and asthma, as well as general medical emergencies like cardiac arrest

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health conditions and medical emergencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĸ¬
    -0.77
    Reviewer
    -0.73
    Commerce
    -0.72
    Vel
    -0.65
     Tycoon
    -0.65
    disc
    -0.64
    Export
    -0.64
     GEAR
    -0.63
    Kn
    -0.62
    itatively
    -0.62
    POSITIVE LOGITS
     remission
    0.87
     stemming
    0.86
     diagnosed
    0.86
    rosis
    0.85
    umatic
    0.84
     coma
    0.84
     untreated
    0.83
     exacerbated
    0.83
     Syndrome
    0.83
     worsened
    0.82
    Activations Density 0.149%

    No Known Activations