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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. 3-RES-JB
    11. 22692
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    INDEX
    Explanations

    phrases related to improving efficiency

    oai_token-act-pair · gpt-3.5-turbo

    references to energy efficiency and related concepts in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -1.00
    nee
    -0.72
    Dream
    -0.71
    kers
    -0.67
    inos
    -0.67
    yu
    -0.65
    atchewan
    -0.64
    soon
    -0.64
    inosaur
    -0.63
    ker
    -0.63
    POSITIVE LOGITS
     efficiency
    1.28
    iencies
    1.24
     effic
    0.95
     savings
    0.90
     improvement
    0.87
     ratios
    0.84
     efficient
    0.82
     parity
    0.81
    ascus
    0.80
     conversions
    0.80
    Activations Density 0.013%

    No Known Activations