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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. 3-RES-JB
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    Explanations

    mentions of different types of burgers

    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 @ 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
    inel
    -0.80
    pmwiki
    -0.76
    agnetic
    -0.69
    perse
    -0.67
     Mathemat
    -0.67
     Atmospheric
    -0.67
    nces
    -0.67
    agall
    -0.66
     Soros
    -0.64
     Emin
    -0.63
    POSITIVE LOGITS
    urger
    1.08
     burger
    1.02
     burgers
    0.94
    eteria
    0.90
    becue
    0.87
     Burger
    0.87
    izza
    0.87
     Meal
    0.86
    gru
    0.86
     steak
    0.85
    Activations Density 0.012%

    No Known Activations