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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. 8-RES-JB
    6. 9165
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    Explanations

    mentions of fines and penalties imposed for various infractions or non-compliance with regulations

    oai_token-act-pair · gpt-3.5-turbo

    references to fines and penalties for violations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omorphic
    -0.89
    omorph
    -0.88
    groups
    -0.74
    NetMessage
    -0.70
    population
    -0.70
    ocaly
    -0.69
    ovie
    -0.68
    ierre
    -0.68
    ãĤ¨ãĥ«
    -0.68
    ãĤ¤ãĥĪ
    -0.67
    POSITIVE LOGITS
     levied
    1.24
     incurred
    0.94
     fines
    0.92
    alties
    0.92
     imposed
    0.88
     owed
    0.82
     fined
    0.81
     penalties
    0.81
     penalty
    0.77
     ($
    0.77
    Activations Density 0.030%

    No Known Activations