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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. 2-RES-JB
    11. 14809
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    Explanations

    sports teams or specific sports-related terms, particularly focusing on university teams

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĥ
    -0.80
     borough
    -0.75
    ctor
    -0.64
    549
    -0.62
    ãĥĸ
    -0.61
    ALLY
    -0.61
    arta
    -0.61
    pton
    -0.60
     mole
    -0.60
    elled
    -0.59
    POSITIVE LOGITS
    aneers
    0.91
    keyes
    0.89
     Jackets
    0.86
    haw
    0.85
    hift
    0.84
    kies
    0.84
    warm
    0.82
     Bulldogs
    0.81
    erker
    0.80
    ync
    0.79
    Activations Density 0.024%

    No Known Activations