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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. 2-RES-JB
    11. 6745
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    Explanations

    specific items or offerings in a place, such as menu items in a restaurant or facilities in a hotel

    oai_token-act-pair · gpt-3.5-turbo

    references to dining experiences and food-related amenities

    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
     discredited
    -0.67
     weakened
    -0.62
     Canaver
    -0.61
     DATA
    -0.60
     flawed
    -0.59
     extrad
    -0.56
     faulty
    -0.56
     culp
    -0.56
     fundamentally
    -0.55
     disputed
    -0.54
    POSITIVE LOGITS
    Tickets
    0.85
    holiday
    0.71
     dinners
    0.69
     brunch
    0.69
     guests
    0.66
     Indigo
    0.64
     Celebration
    0.62
    aturdays
    0.62
     festivities
    0.61
     supper
    0.61
    Activations Density 1.776%

    No Known Activations