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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. 20630
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    INDEX
    Explanations

    descriptions of attractiveness in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to attractiveness 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
    cedented
    -0.78
    roman
    -0.76
    jer
    -0.76
    avis
    -0.75
    cham
    -0.74
    iche
    -0.72
    FIN
    -0.70
    hell
    -0.70
    FT
    -0.69
    pine
    -0.69
    POSITIVE LOGITS
     attractive
    1.02
     proposition
    0.89
     lure
    0.83
     enticing
    0.80
     propositions
    0.79
     enough
    0.79
     attractiveness
    0.78
    lihood
    0.75
     attraction
    0.75
     attract
    0.71
    Activations Density 0.013%

    No Known Activations