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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. 4-RES-JB
    11. 19595
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    Explanations

    mentions of government, intelligence, and military-related terms in the context of legislation, military operations, and national security

    oai_token-act-pair · gpt-3.5-turbo

    references to national security and intelligence legislation

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

    No Comments

    Negative Logits
     MLA
    -0.89
     Serie
    -0.78
     Bram
    -0.75
    eva
    -0.75
     Catalan
    -0.75
     Rowling
    -0.74
     Leicester
    -0.73
     Kerala
    -0.73
     Valencia
    -0.72
     organisers
    -0.72
    POSITIVE LOGITS
     counterterrorism
    1.09
     spying
    1.05
     surveillance
    0.97
     plutonium
    0.95
     Pentagon
    0.94
    ionage
    0.94
     authorization
    0.93
     eaves
    0.92
     DOD
    0.92
     intelligence
    0.92
    Activations Density 0.391%

    No Known Activations