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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. 11232
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    Explanations

    references to military funding and building armaments

    oai_token-act-pair · gpt-3.5-turbo

    titles or names of creative works and their associated media

    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
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    No Comments

    Negative Logits
    hement
    -0.83
     reflected
    -0.68
     grid
    -0.66
     corresponding
    -0.64
     competitiveness
    -0.64
     precaution
    -0.62
     turnover
    -0.62
     aging
    -0.61
     plurality
    -0.61
     footing
    -0.61
    POSITIVE LOGITS
    ³³³³³³³³³³³³³³³³
    0.97
    Premium
    0.93
    Legendary
    0.91
    ³³³³³³³³
    0.88
    ãĥīãĥ©
    0.83
    Liter
    0.83
    ãĤ¨
    0.81
    ãĥŁ
    0.81
    ³³³
    0.81
    ³³³³
    0.78
    Activations Density 0.141%

    No Known Activations