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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. 6876
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to pixel resolution and density in digital graphics

    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
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    No Comments

    Negative Logits
    etheus
    -0.70
    UNE
    -0.70
    kson
    -0.69
    eteria
    -0.66
    shore
    -0.65
    doms
    -0.65
    zona
    -0.65
    OME
    -0.63
    inen
    -0.63
    zie
    -0.62
    POSITIVE LOGITS
    ated
    1.02
     shader
    0.98
    ation
    0.90
    izer
    0.79
    ations
    0.78
    agraph
    0.77
    Pixel
    0.77
     art
    0.77
    maps
    0.75
    ounce
    0.73
    Activations Density 0.042%

    No Known Activations