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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. 5434
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    Explanations

    terms related to respiratory conditions and diseases, such as pneumonia, asthma, and respiratory arrest

    oai_token-act-pair · gpt-3.5-turbo

    terms related to respiratory health conditions

    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
    antine
    -0.88
    ezvous
    -0.74
    \":
    -0.73
    posted
    -0.72
    ãģĨ
    -0.70
    Jenn
    -0.69
    later
    -0.69
    onne
    -0.67
    esan
    -0.67
     Templar
    -0.66
    POSITIVE LOGITS
     inhal
    1.00
     respiratory
    0.94
     lungs
    0.91
    monary
    0.91
     chamber
    0.86
     breathing
    0.86
     gland
    0.83
    ascus
    0.83
     vacc
    0.82
     asthma
    0.79
    Activations Density 0.013%

    No Known Activations