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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 1730
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    INDEX
    Explanations

    phrases related to making plans or arrangements

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of planning

    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
    malink
    -0.69
    lez
    -0.67
    SourceFile
    -0.66
    "]=>
    -0.65
    aque
    -0.62
    antle
    -0.62
    ug
    -0.61
    eps
    -0.61
    IER
    -0.61
    iah
    -0.60
    POSITIVE LOGITS
     planning
    3.69
     Planning
    2.69
     planner
    2.25
     planners
    2.18
     plotting
    1.86
     plans
    1.70
    Plan
    1.68
    plan
    1.62
     planned
    1.55
     plan
    1.52
    Activations Density 0.029%

    No Known Activations