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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. 11-RES-JB
    6. 23666
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    Explanations

    information related to political elections

    oai_token-act-pair · gpt-3.5-turbo

    statistical data related to elections and political candidates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     workshops
    -0.75
     exams
    -0.75
    sterdam
    -0.73
     rituals
    -0.73
     routines
    -0.71
     classrooms
    -0.70
    ãĥ¯ãĥ³
    -0.70
     glim
    -0.68
     seminars
    -0.67
    cms
    -0.66
    POSITIVE LOGITS
     Sanders
    1.50
     Kasich
    1.47
     Libertarian
    1.47
     Clinton
    1.45
     Fiorina
    1.41
     Biden
    1.41
    Sanders
    1.41
     Romney
    1.36
     Rubio
    1.36
    Clinton
    1.33
    Activations Density 0.199%

    No Known Activations