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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. 5-RES-JB
    6. 2334
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    Explanations

    keywords related to sporting events, particularly the term "shirt"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to "redshirt" status in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mercial
    -0.75
     cannabin
    -0.69
     IMAGES
    -0.69
    hran
    -0.66
    BIL
    -0.65
    atican
    -0.64
    sonian
    -0.64
    herical
    -0.64
     VIDEOS
    -0.63
    perty
    -0.63
    POSITIVE LOGITS
    oxide
    0.74
    otide
    0.72
     Peaks
    0.65
    oche
    0.65
    opsis
    0.63
    issions
    0.62
    pine
    0.61
    oots
    0.61
    hee
    0.60
    xia
    0.60
    Activations Density 0.072%

    No Known Activations