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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. 10-RES-JB
    11. 5092
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    INDEX
    Explanations

    phrases related to physical positions or locations

    oai_token-act-pair · gpt-3.5-turbo

    instances of standing or being positioned on a surface or object

    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
    catentry
    -0.79
    xual
    -0.76
    ²¾
    -0.74
    acters
    -0.70
    ItemImage
    -0.69
    ItemThumbnailImage
    -0.68
    pdf
    -0.67
    ults
    -0.67
    iating
    -0.67
    PDF
    -0.65
    POSITIVE LOGITS
     rooft
    1.32
     top
    1.23
    top
    1.04
     roofs
    1.03
     sidewalks
    0.98
     benches
    0.97
     shore
    0.96
     shelves
    0.94
    shore
    0.94
     stage
    0.92
    Activations Density 0.128%

    No Known Activations