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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. 0-RES-JB
    6. 8524
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    INDEX
    Explanations

    terms related to different types of environments, such as natural, built, operational, etc

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     count
    -0.66
    ilee
    -0.64
     Forbes
    -0.63
     counted
    -0.63
    ichi
    -0.63
    law
    -0.63
    head
    -0.62
     deductible
    -0.61
    hur
    -0.60
    ittee
    -0.60
    POSITIVE LOGITS
     environments
    3.54
    vironments
    2.43
     climates
    2.13
     ecosystems
    1.89
     contexts
    1.85
     atmosp
    1.82
     landscapes
    1.81
     habitats
    1.78
     environment
    1.76
     situations
    1.68
    Activations Density 0.013%

    No Known Activations