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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. 11-RES-JB
    6. 22704
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    Explanations

    phrases related to law schools

    oai_token-act-pair · gpt-3.5-turbo

    references to law schools and legal education

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ACTED
    -0.79
    IBLE
    -0.74
     goodwill
    -0.68
    Ò
    -0.68
     arthritis
    -0.63
     Kurd
    -0.62
     solder
    -0.62
    ATED
    -0.60
    hetic
    -0.60
     gobl
    -0.59
    POSITIVE LOGITS
    yer
    1.65
    yers
    1.47
    suit
    1.45
    rence
    1.43
    suits
    1.41
    rences
    1.21
     Enforcement
    1.17
    makers
    1.17
     enforcement
    1.07
    fare
    1.07
    Activations Density 0.047%

    No Known Activations