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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. 2592
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    Explanations

    references to achievements in sports

    oai_token-act-pair · gpt-3.5-turbo

    quantifiable statistics and performance metrics in sports contexts

    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
    details
    -0.62
     millenn
    -0.60
    ord
    -0.59
     Somers
    -0.58
    âĵĺ
    -0.56
    kens
    -0.56
    CHAT
    -0.56
    Vari
    -0.55
     successors
    -0.53
    owners
    -0.53
    POSITIVE LOGITS
     consecut
    1.08
     apiece
    1.07
     per
    0.92
     during
    0.85
     throughout
    0.83
     each
    0.80
     overall
    0.78
     offensively
    0.78
     thus
    0.78
     in
    0.77
    Activations Density 0.174%

    No Known Activations