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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. 8-RES-JB
    11. 11900
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    Explanations

    food ingredients, particularly pork and shrimp

    oai_token-act-pair · gpt-3.5-turbo

    specific food items and ingredients in cooking contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    blance
    -0.87
    ospace
    -0.84
    Offline
    -0.80
    eatures
    -0.79
    VERTIS
    -0.78
    ITNESS
    -0.73
    Student
    -0.73
    LER
    -0.72
    ibel
    -0.72
    Veh
    -0.71
    POSITIVE LOGITS
     flakes
    1.10
     salad
    1.09
     broth
    1.05
     garlic
    1.03
     pasta
    1.01
     beans
    1.00
     mushrooms
    0.99
     soup
    0.98
    fruit
    0.98
    beans
    0.98
    Activations Density 0.133%

    No Known Activations