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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. 6-RES-JB
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    Explanations

    ingredients used in cooking, especially onions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of onions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orders
    -0.84
    enegger
    -0.82
    ulhu
    -0.81
    aneers
    -0.76
    ilitating
    -0.75
    nces
    -0.75
    oric
    -0.72
    hematic
    -0.71
    soDeliveryDate
    -0.71
    TER
    -0.71
    POSITIVE LOGITS
     onion
    0.87
     rings
    0.84
     soup
    0.83
    imity
    0.80
    worm
    0.78
     Router
    0.76
    eous
    0.74
    sha
    0.74
     pit
    0.74
     peel
    0.73
    Activations Density 0.023%

    No Known Activations