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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. 7-RES-JB
    6. 16897
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    Explanations

    references to sexual content

    oai_token-act-pair · gpt-3.5-turbo

    references to sexual topics and terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ģĸ
    -0.84
    BLIC
    -0.83
    Dispatch
    -0.71
    REC
    -0.70
    £ı
    -0.69
     Lenn
    -0.68
    EMP
    -0.67
    Ĭ±
    -0.67
     laure
    -0.67
    OY
    -0.66
    POSITIVE LOGITS
    bags
    0.95
    iest
    0.92
    ily
    0.90
    ually
    0.88
    iness
    0.84
    bag
    0.84
     trafficking
    0.83
    odus
    0.83
    ier
    0.83
    ido
    0.81
    Activations Density 0.026%

    No Known Activations