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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 22922
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    INDEX
    Explanations

    phrases related to titles of books, movies, or songs

    oai_token-act-pair · gpt-3.5-turbo

    titles of films and TV shows

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Abstract
    -0.65
    auga
    -0.61
     Cummings
    -0.60
    lished
    -0.59
    ¶æ
    -0.57
    Ku
    -0.57
    SPONSORED
    -0.56
    trak
    -0.55
    etsk
    -0.54
     expulsion
    -0.54
    POSITIVE LOGITS
    wolves
    0.59
    natureconservancy
    0.57
    med
    0.57
    uber
    0.56
     Game
    0.56
    medi
    0.56
     Big
    0.56
     Saiyan
    0.54
    bits
    0.54
    aptop
    0.54
    Activations Density 0.571%

    No Known Activations