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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. 5-RES-JB
    6. 10123
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    Explanations

    phrases related to mandatory actions or requirements

    oai_token-act-pair · gpt-3.5-turbo

    references to mandatory requirements or obligations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stocks
    -0.88
    oscope
    -0.78
     Tycoon
    -0.77
    bill
    -0.75
    Hop
    -0.74
    vironment
    -0.73
    itect
    -0.72
     Brus
    -0.72
    ophon
    -0.71
    rums
    -0.71
    POSITIVE LOGITS
     compulsory
    0.99
     redund
    0.97
     mandatory
    0.93
     adherence
    0.88
     schooling
    0.86
     confir
    0.83
     compliance
    0.83
     disclaimer
    0.81
     obligation
    0.81
     redundancy
    0.80
    Activations Density 0.016%

    No Known Activations