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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. 807
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    INDEX
    Explanations

    instances of sports-related terms and activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports events, specifically focusing on matches, rounds, and seasonal contexts

    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
    another
    -0.82
    pload
    -0.80
    oother
    -0.78
    cius
    -0.77
    achine
    -0.77
    achu
    -0.77
    then
    -0.75
    ipedia
    -0.73
    Zone
    -0.72
    =-=-=-=-
    -0.72
    POSITIVE LOGITS
     equivalents
    0.92
     goodness
    0.87
    ership
    0.84
     supremacy
    0.73
     collisions
    0.71
     immunity
    0.71
     horrors
    0.70
     adjustments
    0.70
     suspensions
    0.70
     versions
    0.69
    Activations Density 0.199%

    No Known Activations