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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. 8-RES-JB
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    Explanations

    phrases related to law enforcement and the use of force, specifically focusing on discussions of excessive or deadly force

    oai_token-act-pair · gpt-3.5-turbo

    references to the use of deadly force by police

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     UNESCO
    -0.98
    hof
    -0.88
    hai
    -0.84
    sonian
    -0.82
    isSpecialOrderable
    -0.81
    URI
    -0.78
    cean
    -0.77
    Craft
    -0.74
    erella
    -0.72
    landish
    -0.72
    POSITIVE LOGITS
     unarmed
    1.37
     shootings
    1.09
     bystanders
    1.08
     riot
    1.02
     riots
    1.00
     Trayvon
    1.00
     gunfire
    0.99
     handcuffed
    0.98
     cops
    0.97
     SWAT
    0.97
    Activations Density 0.418%

    No Known Activations