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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. 11-RES-JB
    11. 740
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    Explanations

    ingredients and recipes in a cooking context

    oai_token-act-pair · gpt-3.5-turbo

    sections of recipes, particularly the ingredients

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aptic
    -0.76
     exhibitions
    -0.72
    yrights
    -0.70
    ophys
    -0.69
    eur
    -0.66
     interoper
    -0.65
    reon
    -0.65
    dayName
    -0.65
    imar
    -0.62
     innovate
    -0.62
    POSITIVE LOGITS
    Ingredients
    1.22
     Ingredients
    1.08
     ingredients
    0.97
     oats
    0.93
     Beans
    0.93
     potatoes
    0.93
     ½
    0.92
    makes
    0.89
     servings
    0.89
     Calories
    0.88
    Activations Density 0.096%

    No Known Activations