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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. 1-RES-JB
    11. 13531
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    INDEX
    Explanations

    the word "conclusion" with high intensity

    oai_token-act-pair · gpt-3.5-turbo

    references to conclusions or summaries in texts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cler
    -0.74
    otin
    -0.71
    abb
    -0.68
    GB
    -0.68
    inventory
    -0.67
     actionGroup
    -0.66
    verbs
    -0.66
    apped
    -0.65
    ammy
    -0.64
    vag
    -0.64
    POSITIVE LOGITS
     conclusion
    1.26
     Conclusion
    1.02
     conclusions
    0.92
     concluding
    0.85
     concludes
    0.78
    olicy
    0.75
    itaire
    0.74
    swer
    0.73
    ertation
    0.72
    IONS
    0.69
    Activations Density 0.006%

    No Known Activations