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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. 3-RES-JB
    6. 13399
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Jamie."

    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
    enegger
    -0.88
    recomm
    -0.79
    iary
    -0.78
    yp
    -0.77
    esan
    -0.77
    lication
    -0.72
    agonist
    -0.71
    hower
    -0.70
    inyl
    -0.70
    problem
    -0.69
    POSITIVE LOGITS
     Oliver
    0.87
     Herrera
    0.79
     Sparrow
    0.70
     xx
    0.69
     Roberts
    0.68
     Stewart
    0.67
     Lann
    0.65
     Ramsay
    0.65
     Curtis
    0.65
     Kane
    0.65
    Activations Density 0.005%

    No Known Activations