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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
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    Explanations

    mentions of the word "beef"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of beef or related topics

    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
    pmwiki
    -0.80
    âĸ¬
    -0.79
     Citizens
    -0.70
    uyomi
    -0.68
     willful
    -0.64
     CPC
    -0.63
     PV
    -0.62
    âĸ¬âĸ¬
    -0.61
    guided
    -0.61
     Sloan
    -0.61
    POSITIVE LOGITS
    cake
    1.18
     beef
    1.04
     Beef
    0.96
    bean
    0.95
    ington
    0.90
    SourceFile
    0.87
    alos
    0.86
    keyes
    0.85
    cakes
    0.84
    riter
    0.83
    Activations Density 0.006%

    No Known Activations