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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
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    Explanations

    references to legal matters, with a focus on mentions of courts

    oai_token-act-pair · gpt-3.5-turbo

    frequent references to the concept of "courts."

    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
    ACTED
    -0.64
     Stronghold
    -0.62
     Austral
    -0.62
     Hab
    -0.61
     Operation
    -0.61
     Scout
    -0.60
     ana
    -0.59
     Slov
    -0.59
    ³³³³³³³³
    -0.59
     Aut
    -0.57
    POSITIVE LOGITS
     courts
    1.00
    Court
    0.89
    hip
    0.88
    assic
    0.88
    auld
    0.85
    court
    0.84
     Courts
    0.83
     challeng
    0.82
    osaurs
    0.81
     court
    0.81
    Activations Density 0.010%

    No Known Activations