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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. 14845
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    INDEX
    Explanations

    phrases related to construction projects and work activities

    oai_token-act-pair · gpt-3.5-turbo

    references to construction activities and progress

    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
     Kindle
    -0.81
     democracies
    -0.78
     ebook
    -0.77
    oneliness
    -0.77
     GamerGate
    -0.74
     Represent
    -0.72
    rities
    -0.72
    inav
    -0.72
    mopolitan
    -0.71
    clus
    -0.71
    POSITIVE LOGITS
     repairs
    1.75
     repairing
    1.54
     crews
    1.50
     repair
    1.47
     cleanup
    1.40
    repair
    1.40
     excav
    1.38
    Engineers
    1.36
     repaired
    1.36
    Crew
    1.36
    Activations Density 0.582%

    No Known Activations