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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. 1-RES-JB
    11. 13413
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    Explanations

    medical terms related to the respiratory system and conditions such as pneumonia and asthma

    oai_token-act-pair · gpt-3.5-turbo

    medical terms related to respiratory conditions and emergencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    antine
    -0.79
    \":
    -0.79
    esan
    -0.77
    ZI
    -0.77
    Jenn
    -0.77
    posted
    -0.76
    Cola
    -0.75
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.75
    TAG
    -0.73
    onne
    -0.73
    POSITIVE LOGITS
     respiratory
    1.24
    monary
    1.22
    ascus
    1.10
     tremend
    1.03
     lungs
    1.03
    ricular
    1.01
     pneumonia
    0.99
     inhal
    0.94
     breathing
    0.94
     throat
    0.91
    Activations Density 0.016%

    No Known Activations