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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. 2-RES-JB
    11. 579
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    Explanations

    references to doping, particularly in the context of sports or athletic performance

    oai_token-act-pair · gpt-4-turbo

    mention of doping in sports-related contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to doping and compliance with regulations in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.74
    DonaldTrump
    -0.73
    apt
    -0.70
    alsa
    -0.66
    vid
    -0.66
    vt
    -0.65
    nova
    -0.64
    icals
    -0.64
     Metatron
    -0.64
    quart
    -0.63
    POSITIVE LOGITS
     doping
    1.02
    wana
    0.88
     scandal
    0.74
    boro
    0.71
     promoter
    0.70
     backstage
    0.68
     scandals
    0.66
     penalty
    0.66
     sanctions
    0.65
     practices
    0.64
    Activations Density 0.019%

    No Known Activations