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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. 1-RES-JB
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    Explanations

    ingredients used in cooking, particularly focusing on bacon and related items like sausage and cheddar cheese

    oai_token-act-pair · gpt-3.5-turbo

    food-related terms, particularly those involving bacon and cheese

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ept
    -0.78
     Fundamental
    -0.72
     Scientology
    -0.67
    oric
    -0.63
     Semin
    -0.63
     Held
    -0.62
     Occupations
    -0.61
    whose
    -0.61
    cover
    -0.61
     Kore
    -0.61
    POSITIVE LOGITS
    halla
    1.26
     bacon
    1.17
     Bacon
    1.14
     toast
    1.05
    netflix
    1.03
    nect
    0.97
    ©¶æ¥µ
    0.94
     grease
    0.93
    fruit
    0.92
    ModLoader
    0.90
    Activations Density 0.008%

    No Known Activations