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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 19900
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    Explanations

    legal or policy-related terms, especially those related to actions or regulations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal and policy issues, particularly concerning forced actions and mandates

    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
    acular
    -0.85
    sters
    -0.77
    utra
    -0.76
    ggies
    -0.75
    natureconservancy
    -0.73
    igans
    -0.71
    thus
    -0.70
    liest
    -0.70
     Tycoon
    -0.69
    selves
    -0.69
    POSITIVE LOGITS
    paren
    1.02
     seating
    0.81
     interrogation
    0.81
     confinement
    0.81
     parenting
    0.80
     occupancy
    0.79
     loading
    0.78
     injection
    0.76
     burial
    0.74
     fasting
    0.73
    Activations Density 0.316%

    No Known Activations