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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 16970
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    Explanations

    terms related to military operations and equipment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to military and governmental structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sorely
    -0.43
    Ö¼
    -0.40
     absolutely
    -0.39
    Beg
    -0.39
     aptly
    -0.39
     rightfully
    -0.37
     Adin
    -0.37
     incredibly
    -0.37
     Canaver
    -0.36
     answ
    -0.36
    POSITIVE LOGITS
     etc
    1.18
    ?,
    1.01
    ,...
    0.98
    )?
    0.88
    !,
    0.87
     };
    0.85
    ,,
    0.84
    ,
    0.82
    +,
    0.80
    ,[
    0.78
    Activations Density 0.644%

    No Known Activations