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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 6-RES-JB
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    Explanations

    mentions of the car brand "Mercedes-Benz"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of high-end automobile brands, particularly Mercedes-Benz

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.90
    umbn
    -0.83
    omial
    -0.81
    é¾
    -0.79
    ally
    -0.76
    tery
    -0.75
    aji
    -0.75
    ricular
    -0.73
    aneously
    -0.73
    tle
    -0.72
    POSITIVE LOGITS
     Benz
    1.36
    cedes
    1.20
    Benz
    1.20
    manship
    0.87
    bach
    0.74
     Mercedes
    0.69
     Motors
    0.67
    ML
    0.64
     dealership
    0.63
     Sachs
    0.62
    Activations Density 0.017%

    No Known Activations