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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. 3-RES-JB
    11. 12384
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    Explanations

    terms related to military, defense, classified information, and intelligence operations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to military actions and funding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     MLA
    -0.87
     Bram
    -0.83
     Serie
    -0.81
     Canter
    -0.78
     Barber
    -0.76
    eva
    -0.75
     Bare
    -0.74
     Catalan
    -0.73
     Owner
    -0.71
     Matte
    -0.69
    POSITIVE LOGITS
     counterterrorism
    1.09
     spying
    1.04
     plutonium
    0.94
     authorization
    0.89
    ionage
    0.89
     surveillance
    0.88
     nuclear
    0.87
     neocons
    0.87
    kefeller
    0.87
     warheads
    0.87
    Activations Density 0.637%

    No Known Activations