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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. 3-RES-JB
    6. 13778
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    Explanations

    keywords related to specific concepts or terms within various contexts, such as legal matters, success/failure judgments, artistic movements, medical conditions, or physical locations

    oai_token-act-pair · gpt-3.5-turbo

    discussions related to significant societal issues or events

    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
     Machines
    -0.72
    doms
    -0.67
    rencies
    -0.67
    ernels
    -0.65
    brids
    -0.64
    assies
    -0.62
    lees
    -0.61
    rogens
    -0.60
     channels
    -0.60
     Scenes
    -0.60
    POSITIVE LOGITS
     standpoint
    0.79
     contender
    0.63
     consisting
    0.60
    cko
    0.57
     approximation
    0.56
     perspective
    0.56
     apology
    0.56
     spokesperson
    0.56
     variant
    0.55
     staffer
    0.55
    Activations Density 2.487%

    No Known Activations