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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. 5-RES-JB
    6. 24242
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    Explanations

    movie titles and TV show names, particularly those with a colon in the title

    oai_token-act-pair · gpt-3.5-turbo

    colons followed by titles or names of media properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etooth
    -0.87
    uggest
    -0.83
     tremend
    -0.79
    jri
    -0.78
    ebin
    -0.77
    ewitness
    -0.75
    inarily
    -0.75
     fres
    -0.74
    gart
    -0.72
     heated
    -0.72
    POSITIVE LOGITS
     Origins
    0.87
     Legacy
    0.80
     Reborn
    0.80
     Chains
    0.78
     Dangerous
    0.77
     Ultimate
    0.75
     Extended
    0.75
     Imaging
    0.75
     Portable
    0.74
     Characters
    0.74
    Activations Density 0.045%

    No Known Activations