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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. 3-RES-JB
    11. 4563
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    Explanations

    names related to sports figures

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, especially those associated with sports or entertainment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uyomi
    -0.68
    ynski
    -0.68
    ulhu
    -0.67
    oppers
    -0.65
    arette
    -0.64
     Thirty
    -0.62
    aneers
    -0.61
     Helsinki
    -0.60
    ħ
    -0.60
    ::::::::
    -0.60
    POSITIVE LOGITS
    aldo
    1.02
     rall
    0.97
    ald
    0.89
    iversal
    0.83
    abilia
    0.81
    andom
    0.80
    nie
    0.76
    cipled
    0.75
    ALD
    0.73
    alties
    0.72
    Activations Density 0.007%

    No Known Activations