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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. 11-RES-JB
    11. 5056
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    Explanations

    numerical statistics and percentages

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to statistics and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    devices
    -0.76
    etheus
    -0.72
     Instruments
    -0.70
     Skies
    -0.68
     grievances
    -0.65
    itely
    -0.62
    rums
    -0.62
    undreds
    -0.62
    Images
    -0.60
    izoph
    -0.60
    POSITIVE LOGITS
     apiece
    1.01
     per
    0.89
     ratio
    0.86
     limit
    0.82
     guarantee
    0.82
     difference
    0.81
     annually
    0.80
     margin
    0.79
     compared
    0.79
     rate
    0.78
    Activations Density 0.238%

    No Known Activations