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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. 10-RES-JB
    6. 25
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    Explanations

    terms related to business and workplace environments

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various environments and systems in society

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     copies
    -0.92
     bottles
    -0.86
     Posts
    -0.83
     balloons
    -0.83
     bells
    -0.82
     embassies
    -0.78
     tickets
    -0.78
    istors
    -0.78
     papers
    -0.78
     Medals
    -0.78
    POSITIVE LOGITS
     regimen
    1.30
     environment
    1.29
     landscape
    1.18
     regime
    1.18
     trajectory
    1.16
     backdrop
    1.13
     ecosystem
    1.12
     outlook
    1.11
     structure
    1.07
     footprint
    1.07
    Activations Density 0.461%

    No Known Activations