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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. 9-RES-JB
    11. 8604
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    Explanations

    locations and specific places such as police stations, auto dealerships, and hangars

    oai_token-act-pair · gpt-3.5-turbo

    references to locations and places related to law enforcement or transportation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    athi
    -0.68
    %%%%
    -0.63
    Reviewer
    -0.62
    "},"
    -0.62
     ACTIONS
    -0.56
     bets
    -0.56
    sbm
    -0.55
     comparisons
    -0.55
     gestures
    -0.55
     breadth
    -0.55
    POSITIVE LOGITS
     whence
    1.11
     where
    1.03
     undet
    0.87
     nearest
    0.82
     via
    0.81
     headquarters
    0.79
    where
    0.79
     ASAP
    0.77
     unnoticed
    0.71
     chambers
    0.71
    Activations Density 0.581%

    No Known Activations