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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. 2-RES-JB
    6. 6042
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    Explanations

    phrases related to barbecuing

    oai_token-act-pair · gpt-3.5-turbo

    references to barbecue-related concepts and terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    missions
    -0.78
    mission
    -0.71
    izabeth
    -0.71
    abet
    -0.71
    student
    -0.64
    uchin
    -0.64
    igmat
    -0.64
    phas
    -0.62
    cre
    -0.62
    urance
    -0.62
    POSITIVE LOGITS
    becue
    1.26
     barbecue
    1.22
     BBQ
    1.13
    halla
    0.95
     sauces
    0.92
     sauce
    0.91
     grill
    0.91
    »Ĵ
    0.90
     Grill
    0.84
    Ĥİ
    0.84
    Activations Density 0.018%

    No Known Activations