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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. 1917
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    Explanations

    references to winning and victory in sports

    oai_token-act-pair · gpt-3.5-turbo

    terms related to winning and victories in competitive 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
    cens
    -0.61
    study
    -0.60
    response
    -0.60
    rugged
    -0.59
    dding
    -0.58
    pling
    -0.57
    Newsletter
    -0.56
    opian
    -0.56
    pled
    -0.55
    hur
    -0.55
    POSITIVE LOGITS
    't
    0.99
     championships
    0.95
     titles
    0.94
     trophies
    0.89
     comfortably
    0.82
     games
    0.82
     convinc
    0.79
     Rookie
    0.78
     theirs
    0.74
     streaks
    0.73
    Activations Density 0.041%

    No Known Activations