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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. 11-RES-JB
    6. 23925
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    INDEX
    Explanations

    names of cities

    oai_token-act-pair · gpt-3.5-turbo

    place names, specifically cities and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     predecessors
    -0.29
     predecessor
    -0.28
     contrary
    -0.27
    £ı
    -0.26
     cylinders
    -0.25
    assetsadobe
    -0.25
     acad
    -0.25
     clipboard
    -0.25
     faults
    -0.24
     desks
    -0.24
    POSITIVE LOGITS
    isodes
    0.27
    shapeshifter
    0.26
    ig
    0.26
    ivid
    0.26
    iga
    0.26
    ilst
    0.26
    Conclusion
    0.25
     Finally
    0.25
    ocy
    0.25
    redits
    0.25
    Activations Density 2.604%

    No Known Activations