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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. 9-RES-JB
    11. 19797
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    Explanations

    names of professional athletes

    oai_token-act-pair · gpt-3.5-turbo

    names and references to athletes and sports figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -1.05
    sth
    -0.93
    bara
    -0.92
    DragonMagazine
    -0.91
     Cosponsors
    -0.83
    nir
    -0.81
    thur
    -0.80
    cro
    -0.79
    Reviewer
    -0.78
    ozy
    -0.77
    POSITIVE LOGITS
     rookie
    0.93
     Westbrook
    0.92
     Manning
    0.90
     Sanchez
    0.90
     Martinez
    0.89
     Henderson
    0.89
     Wiggins
    0.88
     Robinson
    0.88
     Manziel
    0.88
     Matthews
    0.87
    Activations Density 0.152%

    No Known Activations