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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. 2-RES-JB
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    Explanations

    high-ranking law enforcement positions and terms related to law enforcement activities like shootings and involvement of officers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of police chiefs and related phrases regarding law enforcement incidents

    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
    Tea
    -0.91
    ãĤ·ãĥ£
    -0.85
    psons
    -0.82
    sonian
    -0.82
    guided
    -0.81
     Flavoring
    -0.79
    dream
    -0.79
    tem
    -0.77
    shr
    -0.77
    hend
    -0.76
    POSITIVE LOGITS
     homicide
    0.95
     homicides
    0.94
     Constable
    0.93
     officer
    0.90
     arrests
    0.89
     offenses
    0.89
     Rampage
    0.87
     burglary
    0.87
     informant
    0.87
     Enforcement
    0.87
    Activations Density 0.399%

    No Known Activations