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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. 8-RES-JB
    11. 23527
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    INDEX
    Explanations

    references to seeking or searching for something, often related to future potential or opportunity

    oai_token-act-pair · gpt-3.5-turbo

    references to opportunities or potential in contexts such as sports or business

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cation
    -0.79
    ipper
    -0.74
    aration
    -0.72
    ped
    -0.72
    wart
    -0.70
    utenant
    -0.67
    ippers
    -0.67
    ffe
    -0.67
    endar
    -0.67
    capacity
    -0.66
    POSITIVE LOGITS
     prospects
    0.94
    ively
    0.92
     prospect
    0.88
     futures
    0.86
    ors
    0.79
    ures
    0.79
    urally
    0.74
     Lowell
    0.74
     Scouting
    0.70
    ually
    0.70
    Activations Density 0.040%

    No Known Activations