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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 1114
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    Explanations

    references to specific geographic locations, particularly related to politics and competition

    oai_token-act-pair · gpt-3.5-turbo

    terms related to geographical locations and contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rawdownloadcloneembedreportprint
    -0.83
    ascript
    -0.73
    Marginal
    -0.70
    acci
    -0.69
    umatic
    -0.68
    emonic
    -0.68
    romy
    -0.67
    Interstitial
    -0.66
     clutch
    -0.66
    "]=>
    -0.65
    POSITIVE LOGITS
     Martha
    0.82
     Amos
    0.81
     Wil
    0.77
     Boris
    0.76
     Alvin
    0.76
     Judah
    0.75
     William
    0.75
     Ben
    0.75
     Pompe
    0.75
     Shap
    0.75
    Activations Density 0.573%

    No Known Activations