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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. 5-RES-JB
    6. 21460
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    Explanations

    words related to the core concept or essential components of various topics

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to core principles, values, and mechanics in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quished
    -0.72
     compr
    -0.72
     unwitting
    -0.67
    enne
    -0.67
    uterte
    -0.66
    EStream
    -0.65
    inea
    -0.65
    nesday
    -0.65
    Ń·
    -0.64
    seys
    -0.62
    POSITIVE LOGITS
     fundamentals
    0.86
     tenets
    0.84
     literacy
    0.78
     curriculum
    0.75
    gebra
    0.72
     foundational
    0.70
     core
    0.69
     fundament
    0.69
     stabilization
    0.69
     Knowledge
    0.68
    Activations Density 0.215%

    No Known Activations