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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. 12-RES-JB
    11. 3655
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    Explanations

    information about events, including food options, prizes, items, features, and activities available

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    various mentions of food options and promotions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    maxwell
    -0.68
    ModLoader
    -0.65
    ADRA
    -0.64
     metic
    -0.64
    ThumbnailImage
    -0.63
     practition
    -0.61
    quickShipAvailable
    -0.60
    onel
    -0.59
    ulner
    -0.59
    ilege
    -0.59
    POSITIVE LOGITS
     gal
    1.09
     available
    1.05
     ranging
    1.01
     scattered
    1.00
     abound
    0.99
     sprinkled
    0.97
     TBA
    0.94
     curated
    0.94
     await
    0.93
    hots
    0.93
    Activations Density 0.434%

    No Known Activations