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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. 1-RES-JB
    11. 23375
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    Explanations

    mentions of burgers or burger-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to burgers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.97
    inel
    -0.75
     Matter
    -0.75
    agnetic
    -0.73
    guided
    -0.73
    perse
    -0.73
     partName
    -0.72
     Atmospheric
    -0.68
     Emin
    -0.68
    drawn
    -0.68
    POSITIVE LOGITS
     burger
    1.28
    urger
    1.15
     burgers
    1.09
     Burger
    1.06
     hamb
    1.03
     steak
    0.97
     taco
    0.91
     Meal
    0.89
    ards
    0.89
    izza
    0.88
    Activations Density 0.009%

    No Known Activations