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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. 1-RES-JB
    11. 2107
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    Explanations

    references to specific locations, such as NYC, WTC, JFK, and Philly

    oai_token-act-pair · gpt-3.5-turbo

    references to New York City and its landmarks

    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
    fully
    -0.88
    rar
    -0.88
    pring
    -0.81
    stroke
    -0.77
    addons
    -0.77
    cause
    -0.75
    nesses
    -0.74
    ional
    -0.74
    ãĥł
    -0.73
    pill
    -0.73
    POSITIVE LOGITS
     NYC
    1.09
    NY
    0.95
     NY
    0.87
    gdala
    0.86
     skyline
    0.81
     Yankee
    0.81
    FC
    0.77
    USD
    0.75
     NYPD
    0.74
     Manhattan
    0.74
    Activations Density 0.004%

    No Known Activations