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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. 755
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    Explanations

    terms related to medical conditions, especially focusing on diseases related to the heart

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to coronary health and associated terms

    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
    matic
    -0.83
    matically
    -0.79
    bats
    -0.77
    shaw
    -0.75
    alach
    -0.75
     Antar
    -0.72
    ESH
    -0.72
    matical
    -0.70
    etitive
    -0.70
    galitarian
    -0.68
    POSITIVE LOGITS
     Copenhagen
    0.75
    obyl
    0.73
     Lumpur
    0.72
    berra
    0.71
     Cardiff
    0.70
    EStream
    0.69
    itous
    0.68
    ayson
    0.68
    licted
    0.67
    cffff
    0.65
    Activations Density 0.031%

    No Known Activations