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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. 9-RES-JB
    6. 9299
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    Explanations

    people's names with double letters in them

    oai_token-act-pair · gpt-3.5-turbo
    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
    cape
    -0.87
    natureconservancy
    -0.74
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.69
    20439
    -0.69
     bour
    -0.66
    ertodd
    -0.65
    cess
    -0.65
    ICT
    -0.64
     physic
    -0.64
    osterone
    -0.62
    POSITIVE LOGITS
    assian
    0.92
    ãģĨ
    0.91
    ians
    0.83
    aga
    0.81
    atory
    0.81
    ija
    0.80
    iak
    0.77
    essed
    0.75
    istically
    0.74
    isite
    0.74
    Activations Density 0.095%

    No Known Activations