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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    mentions of dogs

    oai_token-act-pair · gpt-3.5-turbo

    mentions of dogs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lished
    -0.80
    ultane
    -0.79
    govtrack
    -0.73
     Stephenson
    -0.73
    ania
    -0.71
     Hassan
    -0.70
    --------------------------------------------------------
    -0.69
    ayers
    -0.68
     Alberto
    -0.67
     Consortium
    -0.67
    POSITIVE LOGITS
     dog
    3.56
     dogs
    2.88
     Dog
    2.51
    dog
    2.47
     canine
    2.43
    Dog
    2.37
     Dogs
    2.27
     puppy
    2.20
    dogs
    1.89
     puppies
    1.80
    Activations Density 0.024%

    No Known Activations