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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. 3855
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    Explanations

    specific mentions of ages or age ranges

    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
    ãĥķãĤ©
    -0.84
     Wast
    -0.77
    route
    -0.72
     compressor
    -0.71
     convoy
    -0.68
     supplier
    -0.67
    ãĤ»
    -0.67
    ãģĻ
    -0.66
    ãĥ¯ãĥ³
    -0.66
    pmwiki
    -0.66
    POSITIVE LOGITS
     younger
    1.70
     adulthood
    1.68
     age
    1.62
     ages
    1.55
     adolescence
    1.54
    young
    1.54
     Younger
    1.52
     aged
    1.50
     older
    1.47
     puberty
    1.46
    Activations Density 0.528%

    No Known Activations