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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 10797
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    Explanations

    food ingredients and dishes

    oai_token-act-pair · gpt-3.5-turbo

    food-related nouns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ability
    -0.73
    Function
    -0.73
    Specific
    -0.73
    Phase
    -0.72
    ":["
    -0.72
     Doctrine
    -0.72
    SPONSORED
    -0.70
    Jr
    -0.70
    JM
    -0.67
     Offic
    -0.66
    POSITIVE LOGITS
    cake
    1.08
    bowl
    1.02
     popcorn
    0.95
     pies
    0.93
    pipe
    0.88
     potato
    0.88
    cakes
    0.87
    bag
    0.87
    vine
    0.87
     soup
    0.86
    Activations Density 0.263%

    No Known Activations