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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. 0-RES-JB
    11. 22708
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    Explanations

    the word "pet" or words related to pets

    oai_token-act-pair · gpt-3.5-turbo

    mentions of pets or pet-related topics

    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
    edin
    -0.78
    nels
    -0.74
    load
    -0.72
    heim
    -0.70
    ogl
    -0.68
    arsity
    -0.67
    ioch
    -0.65
    loads
    -0.64
     Load
    -0.64
    akers
    -0.63
    POSITIVE LOGITS
     pet
    3.67
     pets
    2.43
    Pet
    2.35
     Pet
    2.24
     Pets
    1.87
    pet
    1.86
     dog
    1.52
     veterinarian
    1.48
     PET
    1.42
     veterinary
    1.35
    Activations Density 0.018%

    No Known Activations