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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 9560
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    INDEX
    Explanations

    messages or information being communicated within a formal setting, possibly related to a council or bill

    oai_token-act-pair · gpt-3.5-turbo

    elements related to social interaction and community activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     footing
    -0.65
     charm
    -0.63
     innocence
    -0.63
     communications
    -0.62
     dazz
    -0.61
     unprepared
    -0.61
     outright
    -0.60
     assurance
    -0.59
     furnished
    -0.58
     intended
    -0.58
    POSITIVE LOGITS
    ³³³³³³³³³³³³³³³³
    1.36
    ³³³³
    1.34
    ³³³³³³³³
    1.33
    ³³³
    1.29
    Anyway
    1.21
    ³³
    1.16
    posted
    1.04
    CONCLUS
    1.03
    Conclusion
    1.00
    Posted
    1.00
    Activations Density 0.415%

    No Known Activations