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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 16874
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    Explanations

    proper nouns related to locations, especially cities or places

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Charleston and related locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iod
    -0.75
     UID
    -0.74
    omen
    -0.70
     rub
    -0.70
    ãĥ¡
    -0.70
     Uz
    -0.69
    roid
    -0.68
     IR
    -0.66
     Kush
    -0.66
     Kom
    -0.66
    POSITIVE LOGITS
     Charleston
    3.97
     Chattanooga
    2.30
    Charl
    2.01
     Wilmington
    2.00
     Asheville
    1.98
     Savannah
    1.93
     Charlottesville
    1.77
     Louisville
    1.63
     Spokane
    1.57
     Raleigh
    1.57
    Activations Density 0.022%

    No Known Activations