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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. 9-RES-JB
    6. 3797
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    Explanations

    references to high-definition (HD) technology

    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
    ingen
    -0.95
    notations
    -0.91
    hift
    -0.86
    ortium
    -0.83
    enegger
    -0.75
    terday
    -0.73
    notation
    -0.70
    =-=-
    -0.70
     Schumer
    -0.68
    bara
    -0.68
    POSITIVE LOGITS
    PE
    1.07
    TV
    1.03
    Ds
    1.00
    CP
    0.89
    RI
    0.87
    HR
    0.84
    VI
    0.76
    visor
    0.76
    FS
    0.75
    AUD
    0.74
    Activations Density 0.032%

    No Known Activations