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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. 460
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    INDEX
    Explanations

    words related to government policy and regulations concerning pensions, healthcare, education, and public services

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health and social care policies

    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
     colorful
    -0.92
     demeanor
    -0.81
    colored
    -0.81
     feces
    -0.79
     Albuquerque
    -0.78
     minimized
    -0.78
     Hoover
    -0.77
     Whitman
    -0.77
    imize
    -0.77
     molded
    -0.76
    POSITIVE LOGITS
     licences
    1.41
     centres
    1.34
    Scotland
    1.32
     programmes
    1.31
     organisations
    1.27
     licence
    1.26
     centre
    1.26
     programme
    1.25
     Scotland
    1.23
     MPs
    1.21
    Activations Density 0.691%

    No Known Activations