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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. 2550
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    Explanations

    descriptions of botanical features and characteristics

    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
    AI
    -0.76
    DCS
    -0.75
    reality
    -0.73
     outsourcing
    -0.73
     oversight
    -0.72
     collaborator
    -0.72
     bureaucracy
    -0.70
     cybersecurity
    -0.70
     AI
    -0.68
     interoper
    -0.68
    POSITIVE LOGITS
     larvae
    1.03
     Appearance
    1.01
    vae
    1.00
     elong
    0.98
     glands
    0.98
     moist
    0.97
     Females
    0.96
    aceous
    0.96
    roma
    0.96
    grow
    0.94
    Activations Density 0.577%

    No Known Activations