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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. 11367
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    INDEX
    Explanations

    details related to sports teams and levels of competition

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific sports league or level, particularly "Triple A"

    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
    Downloadha
    -0.73
    istry
    -0.71
    ega
    -0.69
    netflix
    -0.65
    eller
    -0.65
    igmat
    -0.64
    enegger
    -0.62
    papers
    -0.62
    manship
    -0.61
    hammad
    -0.61
    POSITIVE LOGITS
    plets
    1.15
    plet
    1.08
    ts
    1.00
    ty
    0.93
    header
    0.87
     digits
    0.84
    ple
    0.81
     Trouble
    0.80
    teen
    0.79
    tt
    0.76
    Activations Density 0.019%

    No Known Activations