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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. 686
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    Explanations

    technical terms related to technology and high performance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating high performance and quality in technology and products

    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
    mere
    -0.92
    unker
    -0.91
    mire
    -0.88
    ajor
    -0.82
    ften
    -0.81
    ittee
    -0.81
    another
    -0.80
    udeb
    -0.80
    gdala
    -0.80
    aucus
    -0.78
    POSITIVE LOGITS
     visuals
    1.17
     graphics
    1.15
     designs
    1.06
     layouts
    1.00
     algorithms
    0.98
     interfaces
    0.98
     design
    0.95
     customization
    0.94
     aesthetics
    0.94
     styling
    0.94
    Activations Density 0.254%

    No Known Activations