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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. 2-RES-JB
    6. 4
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    INDEX
    Explanations

    proper nouns related to specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    names and references related to notable individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    last names that follow a title or a first name

    oai_token-act-pair · gpt-4-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     buckle
    -0.78
     Parenthood
    -0.68
     gearing
    -0.62
     Scandinavian
    -0.60
     Bulgarian
    -0.60
     recess
    -0.59
     Universities
    -0.59
     Valve
    -0.58
     Civilization
    -0.58
     Babylon
    -0.58
    POSITIVE LOGITS
    gerald
    1.18
     Fitz
    1.03
    avorite
    0.95
    allery
    0.90
    ezvous
    0.87
    patrick
    0.85
    schild
    0.85
    enegger
    0.85
    sonian
    0.85
    roy
    0.84
    Activations Density 0.015%

    No Known Activations