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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    text related to emergency situations

    oai_token-act-pair · gpt-3.5-turbo

    references to emergency situations or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hran
    -0.91
    bourg
    -0.85
    ¿½
    -0.78
    artisan
    -0.78
    wagen
    -0.77
    orn
    -0.76
    nan
    -0.75
    achu
    -0.75
    vich
    -0.74
    avery
    -0.74
    POSITIVE LOGITS
     emergency
    0.99
     responders
    0.89
     evacuation
    0.89
     emergencies
    0.87
     evacuate
    0.86
     brake
    0.86
     bailout
    0.83
     evac
    0.79
     surge
    0.78
     situations
    0.76
    Activations Density 0.016%

    No Known Activations