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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. 11-RES-JB
    11. 11150
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    Explanations

    items or objects found in specific locations, often with a focus on belongings or possessions

    oai_token-act-pair · gpt-3.5-turbo

    locations or settings described within a narrative

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    geoning
    -0.63
    IJ
    -0.62
    hedon
    -0.60
    selves
    -0.60
     motivated
    -0.57
    Independent
    -0.57
     moder
    -0.56
    DEM
    -0.55
    isky
    -0.55
    CAST
    -0.55
    POSITIVE LOGITS
     storage
    0.96
     lieu
    0.93
     circulation
    0.93
     situ
    0.92
     jars
    0.92
     cabinets
    0.89
     front
    0.88
     bins
    0.86
     bushes
    0.81
    animate
    0.81
    Activations Density 0.174%

    No Known Activations