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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. 7-RES-JB
    11. 3143
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    references to specific national parks and the National Park Service

    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
    iating
    -0.78
    jad
    -0.76
    Interstitial
    -0.69
    poll
    -0.69
    Bey
    -0.67
    enance
    -0.67
     Crunch
    -0.66
    forward
    -0.66
    lip
    -0.65
    ial
    -0.65
    POSITIVE LOGITS
    conservancy
    1.03
     Refuge
    0.95
     wildlife
    0.92
     Wilderness
    0.91
     Conservation
    0.88
     ranger
    0.88
     Parks
    0.87
    querque
    0.86
     Wildlife
    0.85
     Sanctuary
    0.84
    Activations Density 0.060%

    No Known Activations