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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    mentions of the Reagan administration

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Ronald Reagan

    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
    ĨĴ
    -0.72
     Flavoring
    -0.64
    ļ
    -0.64
     à¨
    -0.63
     Eucl
    -0.63
    tered
    -0.63
    âĵĺ
    -0.63
    âĸ¬
    -0.63
    âĸ¬âĸ¬
    -0.62
     Malays
    -0.60
    POSITIVE LOGITS
    omics
    1.06
     Reagan
    1.02
    quist
    0.85
    ites
    0.76
     appoint
    0.74
    stal
    0.72
    rolet
    0.72
     Schwarzenegger
    0.71
    chev
    0.70
     Eisenhower
    0.70
    Activations Density 0.016%

    No Known Activations