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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. 3-RES-JB
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    references to activities related to animal care and welfare, specifically focusing on pet ownership, animal rescue, and shelter operations

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to animal welfare and adoption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.79
    ysics
    -0.73
    asar
    -0.71
     Stur
    -0.69
    apor
    -0.69
    ugal
    -0.69
     branching
    -0.63
    unda
    -0.62
     Shank
    -0.62
    ammu
    -0.62
    POSITIVE LOGITS
     animals
    0.90
     pets
    0.84
     kittens
    0.84
     puppies
    0.82
    eers
    0.79
     Humane
    0.78
     dogs
    0.78
     humane
    0.77
    ateurs
    0.77
     euth
    0.77
    Activations Density 0.213%

    No Known Activations