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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. 4-RES-JB
    11. 12007
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to user experience and interface quality

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

    No Comments

    Negative Logits
    EStreamFrame
    -0.82
    fam
    -0.78
     Lent
    -0.71
     istg
    -0.70
    cius
    -0.70
    san
    -0.69
    inav
    -0.68
    shi
    -0.68
    ulla
    -0.68
    een
    -0.68
    POSITIVE LOGITS
     responsiveness
    0.99
     layout
    0.86
     layouts
    0.84
     optimized
    0.83
     improvements
    0.81
     toolbar
    0.81
     interface
    0.81
     usability
    0.80
     customization
    0.77
     Hitman
    0.77
    Activations Density 0.074%

    No Known Activations