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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. 7-RES-JB
    11. 2110
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    INDEX
    Explanations

    phrases related to efficiency in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to efficiency and its improvement in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.96
    mberg
    -0.74
    ortium
    -0.74
    bara
    -0.70
    FACE
    -0.70
    words
    -0.68
    feld
    -0.68
    jong
    -0.66
    acular
    -0.66
    ker
    -0.65
    POSITIVE LOGITS
     efficiency
    1.10
    iencies
    0.97
     efficient
    0.96
     inefficient
    0.96
     allocation
    0.89
     machinery
    0.83
     optimization
    0.82
     utilization
    0.81
     combustion
    0.80
     effic
    0.80
    Activations Density 0.027%

    No Known Activations