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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 5640
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    Explanations

    terms related to specific subjects or topics, such as "transit systems," "military action," "financial matters," "healthcare," "education," "cyberattacks," "technology," "space," and "accountability in law enforcement."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various fields of study and sectors such as health, finance, and law

    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
    rawdownloadcloneembedreportprint
    -0.72
    ////
    -0.65
    âĵĺ
    -0.62
    minecraft
    -0.61
     Luffy
    -0.59
     Fukushima
    -0.59
     Pesh
    -0.59
     Harden
    -0.57
    20439
    -0.56
    \\\\\\\\
    -0.56
    POSITIVE LOGITS
     historian
    0.64
     hierarchy
    0.60
     bureaucracy
    0.58
     orthodoxy
    0.57
     departments
    0.56
     etiquette
    0.55
     insiders
    0.55
     systems
    0.55
     histories
    0.54
     ecosystem
    0.54
    Activations Density 1.138%

    No Known Activations