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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. 7-RES-JB
    6. 2418
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    Explanations

    warnings or cautions issued by various entities or individuals

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.88
    anuts
    -0.71
    animate
    -0.71
     ILCS
    -0.70
    portion
    -0.65
    nan
    -0.63
    dx
    -0.63
    rafted
    -0.62
    iop
    -0.60
    AMY
    -0.60
    POSITIVE LOGITS
    warn
    0.97
     omin
    0.94
    warning
    0.92
     Warn
    0.89
     warnings
    0.81
     against
    0.80
     warns
    0.78
     warn
    0.75
    ingly
    0.74
     caution
    0.73
    Activations Density 0.025%

    No Known Activations