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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. 8893
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    Explanations

    references to the word "bun" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    words related to types of bread or buns

    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
    Ö¼
    -0.80
    Import
    -0.79
     Impact
    -0.70
    ×Ļ×
    -0.70
    Merit
    -0.68
    ONS
    -0.68
     Continued
    -0.67
     Accuracy
    -0.67
     Investigative
    -0.66
     Practices
    -0.65
    POSITIVE LOGITS
    yip
    1.47
     bun
    1.25
    kered
    1.01
    gee
    0.98
    halla
    0.97
    ches
    0.94
    pload
    0.92
     lapt
    0.90
    combe
    0.90
    terness
    0.88
    Activations Density 0.003%

    No Known Activations