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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. 0-RES-JB
    11. 2172
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    Explanations

    keywords related to food

    oai_token-act-pair · gpt-3.5-turbo

    references to food entities and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rever
    -0.79
    bat
    -0.74
     sync
    -0.65
    meier
    -0.65
     mit
    -0.65
     asymm
    -0.64
    ãĤ´
    -0.64
    tone
    -0.63
     frame
    -0.63
     splits
    -0.63
    POSITIVE LOGITS
     Food
    3.60
    Food
    2.90
    food
    2.52
     food
    2.25
     Foods
    2.05
     foods
    1.74
     Eating
    1.71
     Cooking
    1.68
     Meat
    1.59
     Nutrition
    1.57
    Activations Density 0.008%

    No Known Activations