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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. 17266
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    INDEX
    Explanations

    numerical values mentioned in a ranking or scoring context

    oai_token-act-pair · gpt-3.5-turbo

    quantitative rankings and scoring metrics

    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
     Huck
    -0.87
     Corpus
    -0.80
     Melania
    -0.79
    ĸļ
    -0.78
     Unic
    -0.76
    iol
    -0.72
    ito
    -0.70
     Sut
    -0.70
     Mara
    -0.69
    ella
    -0.69
    POSITIVE LOGITS
     points
    2.10
     Points
    1.95
     point
    1.94
     Point
    1.83
    point
    1.81
    Point
    1.79
    points
    1.77
    Points
    1.75
     pts
    1.44
     pointed
    1.20
    Activations Density 0.121%

    No Known Activations