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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. 7-RES-JB
    11. 14648
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    Explanations

    references to dining experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to culinary or social gatherings and the associated atmosphere

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ledged
    -0.69
     Archangel
    -0.67
    orporated
    -0.66
     Predator
    -0.65
    asive
    -0.64
     cryst
    -0.63
     Acer
    -0.62
    pelling
    -0.61
     Jed
    -0.61
    lessly
    -0.61
    POSITIVE LOGITS
    bach
    0.97
    ivities
    0.93
     din
    0.91
    aries
    0.86
    ation
    0.84
    meal
    0.84
    bred
    0.80
    ateur
    0.79
    ership
    0.79
    essen
    0.77
    Activations Density 0.074%

    No Known Activations