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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. 10-RES-JB
    11. 4802
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    Explanations

    hospitals or medical centers from various locations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.84
     lyr
    -0.70
    terday
    -0.66
     spirited
    -0.65
    ãĥ¯ãĥ³
    -0.63
    xual
    -0.62
     headline
    -0.62
    changed
    -0.62
    gotten
    -0.61
    ibilities
    -0.61
    POSITIVE LOGITS
     Center
    1.27
     Laboratory
    1.08
     Sciences
    1.08
     Clinic
    1.06
     College
    1.06
     Hospital
    1.00
     Campus
    1.00
     Centers
    0.96
     Facility
    0.95
    Center
    0.93
    Activations Density 0.029%

    No Known Activations