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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. 0-RES-JB
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    Explanations

    keywords related to the food item "beef."

    oai_token-act-pair · gpt-3.5-turbo

    references to beef as a food product

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yll
    -0.75
     Sail
    -0.74
    Atl
    -0.72
     Perse
    -0.72
    ymph
    -0.69
    uton
    -0.68
    inel
    -0.67
    sym
    -0.66
    scape
    -0.66
    oggle
    -0.65
    POSITIVE LOGITS
     beef
    3.82
     Beef
    2.75
     pork
    1.81
     meat
    1.66
     steak
    1.55
    Meat
    1.43
     Pork
    1.43
     meats
    1.42
     cows
    1.41
     cattle
    1.39
    Activations Density 0.017%

    No Known Activations