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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. 10-RES-JB
    11. 5972
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    INDEX
    Explanations

    numerical values or measurements mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    quantitative references to protests or civil unrest

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     favorably
    -0.73
     mailing
    -0.72
     folks
    -0.69
    Chuck
    -0.69
     utilizing
    -0.67
    Thumbnail
    -0.67
     patented
    -0.66
     gotten
    -0.65
     accomplish
    -0.65
     Whitney
    -0.65
    POSITIVE LOGITS
     Kerala
    1.48
     Maharashtra
    1.38
     Uttar
    1.38
     Bihar
    1.33
     Delhi
    1.31
     Tamil
    1.30
     Punjab
    1.29
     BJP
    1.29
    ÄŁ
    1.27
     Malays
    1.27
    Activations Density 1.189%

    No Known Activations