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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 11381
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    Explanations

    phrases related to caring for pets or animals

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the responsibilities and challenges of pet ownership

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     UNESCO
    -0.90
    --------------------------------------------------------
    -0.82
     Hassan
    -0.81
    ultane
    -0.80
     Sultan
    -0.79
    ombs
    -0.77
     secession
    -0.77
     Bosh
    -0.77
     Stephenson
    -0.76
    ESCO
    -0.76
    POSITIVE LOGITS
     dog
    2.18
     dogs
    2.16
     pets
    2.11
     canine
    2.00
     Dogs
    1.99
     Dog
    1.94
    Dog
    1.85
     Pets
    1.85
     pet
    1.82
     cats
    1.78
    Activations Density 0.330%

    No Known Activations