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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. 2446
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    Explanations

    phrases related to cooking tools and appliances

    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
     Incarn
    -0.81
    ãĥĥãĥī
    -0.69
     Elven
    -0.67
     Athletics
    -0.66
    uality
    -0.65
    teness
    -0.63
     Tourism
    -0.63
     Rebirth
    -0.63
    lez
    -0.62
    ãĥ©ãĥ³
    -0.62
    POSITIVE LOGITS
     heater
    0.98
     operated
    0.98
     nozzle
    0.97
     plun
    0.94
     blades
    0.92
     fitted
    0.89
     oven
    0.89
     shaft
    0.88
     malfunction
    0.88
     coils
    0.87
    Activations Density 0.190%

    No Known Activations