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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. 9-RES-JB
    11. 2540
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    Explanations

    phrases related to geographic locations and environmental impact

    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
    enium
    -0.68
    thood
    -0.66
    ength
    -0.65
     creed
    -0.65
    renheit
    -0.63
     humility
    -0.63
    sonian
    -0.63
    heim
    -0.60
    Publisher
    -0.59
    }{
    -0.58
    POSITIVE LOGITS
     impacted
    1.13
     affected
    1.12
     benefited
    0.94
     targeted
    0.92
     susceptible
    0.90
     singled
    0.90
    affected
    0.89
    hots
    0.88
     vulnerable
    0.87
     hardest
    0.86
    Activations Density 0.806%

    No Known Activations