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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. 5230
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    terms related to a specific location, particularly "Newcastle"

    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
    acca
    -0.94
    istical
    -0.88
    iday
    -0.85
    ional
    -0.83
    ISM
    -0.80
    istic
    -0.80
    inventoryQuantity
    -0.79
    ttp
    -0.77
    istically
    -0.75
    inelli
    -0.73
    POSITIVE LOGITS
    emouth
    0.84
     Jets
    0.81
    sburg
    0.76
    uries
    0.74
     Falcons
    0.74
     Upon
    0.73
    mares
    0.71
    esis
    0.70
     Knights
    0.69
    cest
    0.65
    Activations Density 0.047%

    No Known Activations