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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. 7-RES-JB
    11. 2174
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    Explanations

    words related to physical objects or body parts

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to food items, cooking, and culinary terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.84
    ADRA
    -0.76
    CLASSIFIED
    -0.73
    enegger
    -0.71
    Demand
    -0.71
     Fundamental
    -0.70
    SPONSORED
    -0.66
    SIGN
    -0.66
     Democr
    -0.65
    VICE
    -0.64
    POSITIVE LOGITS
    cakes
    0.81
    weed
    0.73
    helm
    0.68
    wolf
    0.68
    fish
    0.67
    soft
    0.67
    coin
    0.67
    pool
    0.67
    cake
    0.67
    tailed
    0.67
    Activations Density 0.479%

    No Known Activations