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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. 11-RES-JB
    6. 22729
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    Explanations

    information related to incidents, accidents, or emergencies

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to law enforcement and safety incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.89
    ONDON
    -0.83
    hemy
    -0.81
     fortnight
    -0.80
    sson
    -0.73
     Mehran
    -0.72
    ython
    -0.72
     Travels
    -0.72
    warts
    -0.72
     Riy
    -0.72
    POSITIVE LOGITS
     crews
    1.18
    EMS
    1.11
     evacuated
    1.02
    Crew
    0.98
     evac
    0.97
     lockdown
    0.92
     troopers
    0.90
     EMS
    0.90
     firefighters
    0.90
     evacuation
    0.88
    Activations Density 0.506%

    No Known Activations