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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 11984
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    INDEX
    Explanations

    food-related terms, especially those related to health and nutrition

    oai_token-act-pair · gpt-3.5-turbo

    references to food items and their qualities or effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dhabi
    -0.80
    ño
    -0.78
     Riders
    -0.73
     Blades
    -0.72
     Bots
    -0.68
     Drone
    -0.67
    2019
    -0.66
     Stra
    -0.66
    vernment
    -0.65
    vu
    -0.65
    POSITIVE LOGITS
     eaten
    1.07
     foods
    1.05
     consumed
    0.90
    Ingredients
    0.89
     additives
    0.88
     allergies
    0.87
     ingested
    0.87
     eater
    0.86
     nutrit
    0.85
    paste
    0.85
    Activations Density 0.031%

    No Known Activations