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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. 8-RES-JB
    6. 1429
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    Explanations

    specific references to materials in a document, such as reports, articles, movies, or books

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "the" as well as context related to infographics and reports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heit
    -0.79
    atics
    -0.70
    ulence
    -0.68
    olicy
    -0.67
    arians
    -0.66
    rontal
    -0.66
    abiding
    -0.65
    istas
    -0.64
    agogue
    -0.64
    inx
    -0.64
    POSITIVE LOGITS
     context
    1.10
     midst
    0.93
     vicinity
    0.92
     entirety
    0.90
     aforementioned
    0.88
     introductory
    0.87
     preceding
    0.85
     prol
    0.85
     description
    0.84
     article
    0.84
    Activations Density 0.259%

    No Known Activations