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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. 8372
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    Explanations

    scientific and technical terms related to analysis, models, and measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to specific time points or conditions in scientific contexts

    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
    Berry
    -0.77
    Reports
    -0.73
    Fed
    -0.72
    hunt
    -0.69
    Assistant
    -0.67
    hare
    -0.63
    forth
    -0.63
    advertising
    -0.62
    Reply
    -0.62
    Roy
    -0.62
    POSITIVE LOGITS
     least
    1.06
    mosp
    1.01
    las
    0.93
     intersections
    0.92
     intervals
    0.92
     maturity
    0.92
     equilibrium
    0.90
     distances
    0.89
     runtime
    0.88
     wavelengths
    0.87
    Activations Density 0.128%

    No Known Activations