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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
    11. 4019
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    Explanations

    phrases related to legal or regulatory matters

    oai_token-act-pair · gpt-3.5-turbo

    statements or phrases related to government actions or consequences

    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
    Not in Any Lists

    No Comments

    Negative Logits
     fres
    -0.79
    reet
    -0.77
     amph
    -0.75
     runes
    -0.73
     audition
    -0.73
     charm
    -0.71
     greeting
    -0.71
     helm
    -0.70
     Splash
    -0.69
     tap
    -0.69
    POSITIVE LOGITS
    SPONSORED
    1.45
    Furthermore
    1.15
    Moreover
    1.15
    Conclusion
    1.12
    ³³³
    1.09
    CIA
    1.07
    Claim
    1.05
    Thus
    1.04
    Federal
    1.04
    ³³³³³³³³
    1.03
    Activations Density 0.701%

    No Known Activations