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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. 9-RES-JB
    11. 4229
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Gemini
    -0.66
    ibly
    -0.63
    naires
    -0.63
    ibility
    -0.62
    aneously
    -0.60
     blindness
    -0.60
    ibilities
    -0.59
     Hearts
    -0.58
     Cobra
    -0.58
     Chavez
    -0.57
    POSITIVE LOGITS
    zbek
    1.15
    ö
    1.02
    ller
    0.98
    ·
    0.95
    ¸
    0.95
    hl
    0.92
    rm
    0.92
    misc
    0.91
    vre
    0.90
    kk
    0.88
    Activations Density 0.021%

    No Known Activations