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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 12-RES-JB
    6. 17756
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    Explanations

    positive descriptions of food and cooking experiences

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

    expressions of personal experiences and recommendations related to products or food

    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
    cknow
    -0.80
    actionDate
    -0.72
    »Ĵ
    -0.70
     initiation
    -0.65
    Pause
    -0.65
     pestic
    -0.64
    ItemThumbnailImage
    -0.64
    farious
    -0.64
    DragonMagazine
    -0.63
    lihood
    -0.63
    POSITIVE LOGITS
     tasted
    1.13
     smelled
    1.09
     worked
    1.04
     tastes
    1.04
     didnt
    1.03
     feels
    1.02
     smells
    1.01
     looked
    1.01
     reminds
    1.00
     sounded
    0.99
    Activations Density 0.238%

    No Known Activations