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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. 4-RES-JB
    11. 2854
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    Explanations

    issues, problems, or negative circumstances

    oai_token-act-pair · gpt-3.5-turbo

    issues related to delays and shortages in various contexts

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

    No Comments

    Negative Logits
    Sec
    -0.73
    Square
    -0.68
    ften
    -0.66
    Coin
    -0.65
    gger
    -0.64
     Travels
    -0.64
    Weight
    -0.64
    ighter
    -0.62
    soever
    -0.62
    Fair
    -0.61
    POSITIVE LOGITS
     mandate
    0.83
     setbacks
    0.77
     constraints
    0.75
     setback
    0.70
     shortages
    0.70
     negligence
    0.70
     overlap
    0.70
     mish
    0.67
     overrun
    0.67
     shortage
    0.66
    Activations Density 0.544%

    No Known Activations