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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. 2547
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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
    Not in Any Lists

    No Comments

    Negative Logits
    verted
    -0.71
    imation
    -0.67
    away
    -0.66
    encia
    -0.66
    ivity
    -0.63
    ential
    -0.62
    aways
    -0.62
    ×Ļ×
    -0.60
    ional
    -0.60
    ä¹ĭ
    -0.59
    POSITIVE LOGITS
    achine
    0.80
    useum
    0.78
    nih
    0.77
    aceutical
    0.77
     Mayhem
    0.76
    ONEY
    0.76
    achus
    0.74
     Madness
    0.74
    ambo
    0.73
    emonic
    0.73
    Activations Density 0.234%

    No Known Activations