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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. 4-RES-JB
    11. 10883
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    Explanations

    terms related to grilling or barbecue

    oai_token-act-pair · gpt-3.5-turbo

    terms related to grilling and barbecue cooking

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

    No Comments

    Negative Logits
    patient
    -0.86
    orough
    -0.71
     Laboratories
    -0.69
    BD
    -0.64
     Written
    -0.63
    enforcement
    -0.63
     universities
    -0.63
    soft
    -0.63
     Liber
    -0.62
    idas
    -0.62
    POSITIVE LOGITS
     grill
    1.21
     grilled
    0.99
     Grill
    0.97
    becue
    0.82
     oven
    0.81
    wich
    0.79
    essen
    0.79
    pie
    0.78
     steak
    0.77
    cheon
    0.77
    Activations Density 0.013%

    No Known Activations