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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. 2-RES-JB
    11. 22406
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    Explanations

    references to individuals serving in various roles or positions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "served" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issues
    -0.81
    orph
    -0.75
    eros
    -0.74
    destruct
    -0.73
     uncontroll
    -0.72
    vu
    -0.69
    pled
    -0.69
    lining
    -0.67
    opers
    -0.67
    orsi
    -0.67
    POSITIVE LOGITS
     Restaur
    0.94
     Serving
    0.92
     served
    0.92
     SERV
    0.90
     showc
    0.79
     meals
    0.75
     kitchens
    0.75
    ":[{"
    0.73
     Serve
    0.73
     serving
    0.73
    Activations Density 0.017%

    No Known Activations