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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. 2785
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    Explanations

    descriptions related to menu items and restaurant offerings

    oai_token-act-pair · gpt-3.5-turbo
    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
     declass
    -0.96
     probes
    -0.86
     implant
    -0.81
     implants
    -0.81
     FISA
    -0.78
     implanted
    -0.78
     epigen
    -0.78
    nuclear
    -0.77
     Supplementary
    -0.76
     scientists
    -0.76
    POSITIVE LOGITS
     Restaur
    1.41
     restaurants
    1.34
     Restaurant
    1.31
     Yelp
    1.28
     Cafe
    1.27
     Café
    1.22
     restaurant
    1.19
     brunch
    1.14
     storefront
    1.11
     upscale
    1.11
    Activations Density 0.999%

    No Known Activations