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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. 9-RES-JB
    11. 16433
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    Explanations

    general managers in various sports teams or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to general managers in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heid
    -0.67
    ratom
    -0.66
     hijab
    -0.66
    MpServer
    -0.65
    aston
    -0.65
     queens
    -0.64
     Aadhaar
    -0.63
    Proof
    -0.63
    jiang
    -0.62
     Mother
    -0.62
    POSITIVE LOGITS
    ogi
    0.84
     exec
    0.82
    ilage
    0.82
    Brandon
    0.79
     turnover
    0.79
    NFL
    0.77
     executives
    0.77
    ovie
    0.76
     Reggie
    0.76
     signings
    0.76
    Activations Density 0.111%

    No Known Activations