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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. 4-RES-JB
    11. 1823
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    Explanations

    descriptions of different menu items and food offerings in restaurants

    oai_token-act-pair · gpt-3.5-turbo

    words related to food and dining options

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

    No Comments

    Negative Logits
     IPCC
    -0.85
     Supplementary
    -0.78
     Gamergate
    -0.76
     External
    -0.75
     diffuse
    -0.74
     Fifa
    -0.72
     SPD
    -0.71
    Filename
    -0.70
     vertex
    -0.70
     declass
    -0.70
    POSITIVE LOGITS
    isine
    1.19
     tasting
    1.17
     restaurants
    1.14
     cuisine
    1.13
     flavors
    1.08
     culinary
    1.07
     eater
    1.02
     sauces
    1.01
     offerings
    1.00
     brewed
    0.98
    Activations Density 0.368%

    No Known Activations