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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. 2168
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    Explanations

    phrases relating to considering, evaluating, or giving opinions on various topics

    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
    ICLE
    -0.68
    eer
    -0.68
     Gutenberg
    -0.68
    nered
    -0.66
     Broken
    -0.63
    BLE
    -0.61
     Brist
    -0.61
    chief
    -0.60
     Kart
    -0.60
    etheless
    -0.60
    POSITIVE LOGITS
     weigh
    1.10
     weighing
    0.89
     weights
    0.84
    ighed
    0.84
     heaviest
    0.82
     weighed
    0.78
     heavily
    0.77
     down
    0.75
     heavier
    0.74
    enance
    0.73
    Activations Density 0.044%

    No Known Activations