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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 5516
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    Explanations

    phrases related to legal proceedings and court jurisdictions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific judicial districts in a legal context

    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
    cially
    -0.84
    erd
    -0.82
    ears
    -0.79
    aughs
    -0.73
    cius
    -0.73
    gyn
    -0.71
    eches
    -0.70
    warts
    -0.69
    cul
    -0.67
    fty
    -0.67
    POSITIVE LOGITS
     Court
    0.93
     Attorney
    0.86
     Courts
    0.83
    s
    0.79
     Marshal
    0.78
     Circuit
    0.75
     Clerk
    0.75
     District
    0.71
    rict
    0.70
     Judge
    0.69
    Activations Density 0.024%

    No Known Activations