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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. 3-RES-JB
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    Explanations

    references to the luxury automobile brand "Mercedes" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the car brand Mercedes-Benz

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umbn
    -0.90
    è¦ļéĨĴ
    -0.75
    é¾
    -0.73
    omial
    -0.73
    ochond
    -0.72
    ingo
    -0.72
    ttp
    -0.72
    ANK
    -0.72
    aji
    -0.72
    tery
    -0.70
    POSITIVE LOGITS
     Benz
    1.22
    cedes
    1.19
    Benz
    0.91
     Mercedes
    0.78
    manship
    0.76
     lapt
    0.72
     seiz
    0.70
    peria
    0.69
    yne
    0.68
    bach
    0.64
    Activations Density 0.010%

    No Known Activations