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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. 1-RES-JB
    6. 1450
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    INDEX
    Explanations

    mentions of bodies of water, such as seas, oceans, and waterfronts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to marine life and the seafood industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icle
    -0.90
    ivas
    -0.89
    haar
    -0.83
    win
    -0.82
    uate
    -0.81
    oday
    -0.80
    anu
    -0.79
    iva
    -0.79
    gart
    -0.78
    abel
    -0.78
    POSITIVE LOGITS
     seaf
    1.08
     Seaf
    1.08
     waterfront
    1.00
     seafood
    0.84
     Harbour
    0.83
     shore
    0.82
     seaw
    0.80
     coastline
    0.79
     Fisheries
    0.79
     beach
    0.79
    Activations Density 0.018%

    No Known Activations