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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. 9-RES-JB
    11. 17689
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    INDEX
    Explanations

    keywords and phrases related to efficiency in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    discussions related to enhancing operational efficiency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -1.01
    DonaldTrump
    -0.71
    FACE
    -0.71
    jong
    -0.70
    ortium
    -0.70
    feld
    -0.69
    bley
    -0.66
    hair
    -0.66
    Characters
    -0.65
    yah
    -0.65
    POSITIVE LOGITS
    iencies
    1.19
     efficiency
    1.17
     efficient
    0.90
     inefficient
    0.90
     effic
    0.88
     Efficiency
    0.87
     combustion
    0.85
     optimization
    0.84
    fficient
    0.83
     utilization
    0.83
    Activations Density 0.064%

    No Known Activations