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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. 6-RES-JB
    6. 20072
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    Explanations

    activities or events associated with a physical challenge or pursuit

    oai_token-act-pair · gpt-3.5-turbo

    activities or events related to social gatherings and physical activities

    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
    tymology
    -0.69
     cylinders
    -0.67
    é¾įå
    -0.62
    ãĥĥãĥī
    -0.62
    Reference
    -0.62
     structural
    -0.61
    moderate
    -0.60
     redistributed
    -0.60
    fixed
    -0.59
     coded
    -0.59
    POSITIVE LOGITS
    athon
    1.00
     spree
    0.85
     session
    0.84
    icles
    0.82
     brawl
    0.81
     festivities
    0.81
     hike
    0.81
     ceremony
    0.80
     procession
    0.79
     marathon
    0.77
    Activations Density 0.267%

    No Known Activations