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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. 8194
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    Explanations

    phrases indicating restrictions or limitations

    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
    CHA
    -0.80
    ))))
    -0.74
    });
    -0.73
    imar
    -0.72
    asc
    -0.69
    mir
    -0.67
    enth
    -0.66
    MORE
    -0.64
     syndrome
    -0.64
    ru
    -0.63
    POSITIVE LOGITS
     certain
    0.94
     those
    0.90
     essentials
    0.83
     subsistence
    0.79
     specific
    0.79
     narrow
    0.78
     emergencies
    0.76
     nominal
    0.74
     limited
    0.74
     narrowly
    0.73
    Activations Density 0.182%

    No Known Activations