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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. 1-RES-JB
    11. 8711
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    INDEX
    Explanations

    mentions of possessing specialized knowledge or skills in a particular area

    oai_token-act-pair · gpt-3.5-turbo

    references to expertise and specialized knowledge

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Rail
    -0.66
    oning
    -0.64
    gm
    -0.63
     Shuttle
    -0.63
    mi
    -0.62
    fm
    -0.62
    birth
    -0.61
     Pyr
    -0.61
    corn
    -0.60
    photos
    -0.59
    POSITIVE LOGITS
     expertise
    1.13
     guiActiveUn
    0.90
    querque
    0.85
    anooga
    0.84
     chops
    0.81
     opin
    0.81
    afety
    0.80
    yip
    0.80
    smanship
    0.78
     credentials
    0.77
    Activations Density 0.005%

    No Known Activations