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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. 4-RES-JB
    11. 15981
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    Explanations

    keywords related to life-threatening situations and injuries

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to medical conditions or emergencies, particularly those indicating severity

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

    No Comments

    Negative Logits
    SN
    -0.86
    MAS
    -0.79
    pload
    -0.78
    href
    -0.78
    bits
    -0.73
    MAC
    -0.73
    BIT
    -0.72
    xtap
    -0.70
    adelphia
    -0.69
    bor
    -0.68
    POSITIVE LOGITS
    theless
    0.85
     situations
    0.83
     emergencies
    0.82
     crises
    0.79
     ordeal
    0.78
     aver
    0.78
     interventions
    0.77
     illnesses
    0.76
     environments
    0.76
     interruption
    0.76
    Activations Density 0.050%

    No Known Activations