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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. 9-RES-JB
    11. 18319
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    Explanations

    phrases related to military or tactical operations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to law enforcement and investigative activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )?
    -0.69
    inas
    -0.64
     Conclusion
    -0.63
     tongues
    -0.63
     minorities
    -0.62
    comments
    -0.61
    },"
    -0.60
     Videos
    -0.60
     Issues
    -0.60
     Retrieved
    -0.59
    POSITIVE LOGITS
     consisting
    1.05
     containing
    0.83
     comprising
    0.77
     intending
    0.77
     resembling
    0.75
     onto
    0.74
     named
    0.71
     into
    0.70
     totaling
    0.70
     called
    0.70
    Activations Density 0.518%

    No Known Activations