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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. 11-RES-JB
    11. 14696
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    Explanations

    phrases related to personalization and customization

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to personalization and customization

    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
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    No Comments

    Negative Logits
    leading
    -0.76
    icides
    -0.63
    ortality
    -0.62
    secure
    -0.62
     Hasan
    -0.60
    âĢİ
    -0.59
    lead
    -0.59
    RAG
    -0.59
    isters
    -0.58
    icide
    -0.58
    POSITIVE LOGITS
     needs
    1.56
     tastes
    1.42
    needs
    1.33
     Needs
    1.31
     circumstances
    1.23
     requirements
    1.22
     preferences
    1.20
     desires
    1.15
     strengths
    1.11
     sensibilities
    1.11
    Activations Density 0.338%

    No Known Activations