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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. 9902
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    Explanations

    names, particularly first names and last names

    oai_token-act-pair · gpt-3.5-turbo

    names associated with the individual "Jeff" and variations of the name

    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
    imeters
    -0.72
    soDeliveryDate
    -0.72
    itect
    -0.68
    士
    -0.64
     veins
    -0.62
     curv
    -0.62
     likeness
    -0.62
    amorph
    -0.61
    é¾įåĸļ士
    -0.61
    natureconservancy
    -0.61
    POSITIVE LOGITS
    tein
    0.74
    ruary
    0.73
    lease
    0.72
    vertisement
    0.66
    gnu
    0.65
    rama
    0.64
    illet
    0.63
     Saunders
    0.62
    istan
    0.60
     Pow
    0.59
    Activations Density 0.564%

    No Known Activations