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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. 11-RES-JB
    11. 6806
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    Explanations

    information related to environmental impact, statistics, and measurements

    oai_token-act-pair · gpt-3.5-turbo

    quantitative statistics related to environmental impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    particularly
    -0.77
    NetMessage
    -0.72
    iors
    -0.71
    itism
    -0.70
    oslav
    -0.64
     deadlines
    -0.64
     unlaw
    -0.64
     blame
    -0.64
     reneg
    -0.62
     questionable
    -0.61
    POSITIVE LOGITS
     equivalent
    1.06
     equals
    1.06
     multiplied
    0.99
     =
    0.94
    =$
    0.91
     âī
    0.88
     ÃĹ
    0.87
    =~
    0.86
     equivalents
    0.83
     grams
    0.78
    Activations Density 0.389%

    No Known Activations