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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. 144
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    Explanations

    references to legal matters or regulations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal status or legality

    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
     Seasons
    -0.84
    mble
    -0.72
    pread
    -0.70
     Tycoon
    -0.69
     Tate
    -0.68
    ritch
    -0.68
     Clip
    -0.67
     Wing
    -0.67
     Roses
    -0.66
     Velocity
    -0.66
    POSITIVE LOGITS
     enforce
    0.91
     obliged
    0.83
     sanctioned
    0.81
     obligated
    0.80
     mandated
    0.78
     speaking
    0.76
     compliant
    0.76
     wedd
    0.74
     exting
    0.74
    inition
    0.74
    Activations Density 0.026%

    No Known Activations