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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 13592
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    INDEX
    Explanations

    statistics related to sports performance, particularly focusing on points, rebounds, and assists

    oai_token-act-pair · gpt-3.5-turbo

    statistical metrics related to basketball performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OPA
    -0.65
    anto
    -0.65
     tenancy
    -0.63
    cho
    -0.62
    xon
    -0.61
     Musk
    -0.59
    compl
    -0.58
     Bond
    -0.58
     Moy
    -0.57
    ige
    -0.57
    POSITIVE LOGITS
     rebounds
    0.87
    hots
    0.85
     Pwr
    0.78
    atoon
    0.76
    assisted
    0.73
    halla
    0.72
    ilion
    0.72
     teammates
    0.71
    oppable
    0.71
    acious
    0.70
    Activations Density 0.037%

    No Known Activations