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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. 1-RES-JB
    11. 14397
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    Explanations

    phrases related to medical emergencies

    oai_token-act-pair · gpt-3.5-turbo

    references to emergency situations or responses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bourg
    -0.89
    orn
    -0.87
    hran
    -0.82
    artisan
    -0.78
    rb
    -0.73
    icket
    -0.73
    ¿½
    -0.72
    ynthesis
    -0.71
    Publisher
    -0.70
    Ń·
    -0.70
    POSITIVE LOGITS
     emergency
    1.05
     emergencies
    0.92
     responders
    0.91
     evacuation
    0.89
     brake
    0.88
     evacuate
    0.83
    cffffcc
    0.77
     evac
    0.76
    Emergency
    0.76
     remedy
    0.75
    Activations Density 0.010%

    No Known Activations