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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. 7-RES-JB
    6. 16578
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    Explanations

    numeric values with decimal points

    oai_token-act-pair · gpt-3.5-turbo

    articles and the usage of the word "a" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    evidence
    -0.66
     Jagu
    -0.62
     Vaugh
    -0.62
    grounds
    -0.57
    eyes
    -0.56
    iments
    -0.56
     Eag
    -0.56
    ographs
    -0.56
    acebook
    -0.56
    Edit
    -0.56
    POSITIVE LOGITS
     lot
    1.00
     bunch
    0.90
     couple
    0.82
     handful
    0.78
     few
    0.76
     huge
    0.76
     glimpse
    0.75
    uras
    0.73
     whopping
    0.73
    ird
    0.72
    Activations Density 0.558%

    No Known Activations