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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. 7-RES-JB
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    Explanations

    names or terms related to legal cases and proceedings

    oai_token-act-pair · gpt-3.5-turbo

    specific names and entities related to individuals and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Zika
    -0.68
    ãĤª
    -0.61
    Netflix
    -0.61
     Paragu
    -0.60
    ishable
    -0.60
     vaginal
    -0.59
     Panama
    -0.58
     metic
    -0.56
     Argentine
    -0.55
     whisky
    -0.55
    POSITIVE LOGITS
    '/
    0.77
    âĢ²
    0.67
     partName
    0.63
    />
    0.62
     adds
    0.62
    ])
    0.62
    othy
    0.62
    phasis
    0.61
    relative
    0.60
    ]).
    0.60
    Activations Density 0.869%

    No Known Activations