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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. 8-RES-JB
    11. 4933
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    Explanations

    phrases related to high-level concepts or positions

    oai_token-act-pair · gpt-3.5-turbo

    references to different levels of expertise or hierarchy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inelli
    -0.83
    isu
    -0.80
    Pitt
    -0.75
    MAR
    -0.74
    pload
    -0.73
    LOS
    -0.73
    phis
    -0.72
    enegger
    -0.72
    STAR
    -0.72
    lez
    -0.71
    POSITIVE LOGITS
    xual
    0.96
     administrative
    0.88
     education
    0.80
     overview
    0.80
     diplomatic
    0.79
     clearance
    0.78
     representation
    0.78
     interaction
    0.78
     guidance
    0.77
     communication
    0.76
    Activations Density 0.037%

    No Known Activations