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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. 4859
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    Explanations

    terms related to medical conditions and complications, particularly those involving respiratory systems

    oai_token-act-pair · gpt-3.5-turbo

    terms related to respiratory and cardiac health issues

    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
    hov
    -0.92
    alos
    -0.88
    hig
    -0.85
    aroo
    -0.85
    atz
    -0.84
    anu
    -0.81
    awaru
    -0.80
    ulhu
    -0.80
    hers
    -0.78
    atche
    -0.78
    POSITIVE LOGITS
     anatomy
    1.05
     respiratory
    0.99
     hygiene
    0.95
     inhibition
    0.93
     diseases
    0.91
     distress
    0.91
     muc
    0.90
     physiology
    0.89
     symptoms
    0.88
     illnesses
    0.88
    Activations Density 0.040%

    No Known Activations