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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. 2391
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    Explanations

    descriptions related to a person's skills, qualities, and impact in sports

    oai_token-act-pair · gpt-3.5-turbo

    attributes and skills related to athletic performance

    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
    dule
    -0.78
    iatus
    -0.76
     boycott
    -0.76
    dos
    -0.71
    olicy
    -0.71
    ackets
    -0.70
     postp
    -0.69
     deadlines
    -0.69
     Discussion
    -0.69
     Procedures
    -0.68
    POSITIVE LOGITS
     unmatched
    1.09
     contagious
    1.06
     innate
    1.05
     trait
    1.03
     qualities
    1.01
     infectious
    0.97
     admirable
    0.97
     undeniable
    0.96
     shine
    0.96
     traits
    0.96
    Activations Density 0.636%

    No Known Activations