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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 19855
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    Explanations

    words related to legal institutions, such as "District Court" and "Judge"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of U.S. District Courts and legal entities associated with them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Marketable
    -0.74
    ï¸ı
    -0.70
    ï¸
    -0.69
    tics
    -0.64
    Shape
    -0.63
    ðĿ
    -0.62
     constituent
    -0.61
     Smooth
    -0.61
    lang
    -0.60
    ijk
    -0.59
    POSITIVE LOGITS
    CLASSIFIED
    0.70
     consulate
    0.67
     Inspect
    0.66
     inspectors
    0.66
    assies
    0.65
    agall
    0.65
    ensen
    0.64
     embassy
    0.64
    orneys
    0.63
    itent
    0.63
    Activations Density 0.123%

    No Known Activations