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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. 10-RES-JB
    11. 6372
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    Explanations

    words related to efficiency

    oai_token-act-pair · gpt-3.5-turbo

    references to efficiency in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.88
    FACE
    -0.71
    yah
    -0.70
    DonaldTrump
    -0.70
     Falk
    -0.69
    tones
    -0.69
    quel
    -0.67
    zona
    -0.66
    ortium
    -0.65
    feld
    -0.65
    POSITIVE LOGITS
    iencies
    1.35
     efficiency
    1.08
     gains
    0.94
     improvements
    0.91
     savings
    0.90
     Efficiency
    0.86
     growth
    0.85
     boosts
    0.85
     maximizing
    0.85
     improvement
    0.83
    Activations Density 0.062%

    No Known Activations