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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. 6722
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    Explanations

    phrases related to legal institutions and proceedings

    oai_token-act-pair · gpt-3.5-turbo

    references to the Supreme Court

    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
    mt
    -0.70
     awa
    -0.66
    ateurs
    -0.66
    nel
    -0.65
    rf
    -0.64
    ilst
    -0.62
     exposures
    -0.61
     hr
    -0.60
    ola
    -0.60
     addr
    -0.60
    POSITIVE LOGITS
     Supreme
    3.73
    Sup
    2.04
     supreme
    1.92
     justices
    1.83
     appellate
    1.55
     Court
    1.52
    reme
    1.40
     Constitutional
    1.37
     judicial
    1.36
     Courts
    1.33
    Activations Density 0.018%

    No Known Activations