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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. 9-RES-JB
    6. 21615
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    Explanations

    serious or critical conditions and incidents

    oai_token-act-pair · gpt-3.5-turbo

    terms related to serious injuries or critical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ifully
    -0.79
    anic
    -0.77
    iful
    -0.72
    itionally
    -0.72
    hall
    -0.70
    clusively
    -0.69
     Parenthood
    -0.69
    orem
    -0.68
    urous
    -0.68
    atu
    -0.67
    POSITIVE LOGITS
     wounded
    1.15
     injured
    1.13
     injuring
    1.01
     damaged
    0.99
     flawed
    0.99
     beaten
    0.96
     harmed
    0.91
     deficient
    0.91
     ill
    0.91
     bruised
    0.91
    Activations Density 0.052%

    No Known Activations